Determinants of intra-household food allocation between adults in South Asia – a systematic review
© The Author(s). 2017
Received: 13 March 2017
Accepted: 12 June 2017
Published: 21 June 2017
Nutrition interventions, often delivered at the household level, could increase their efficiency by channelling resources towards pregnant or lactating women, instead of leaving resources to be disproportionately allocated to traditionally favoured men. However, understanding of how to design targeted nutrition programs is limited by a lack of understanding of the factors affecting the intra-household allocation of food.
We systematically reviewed literature on the factors affecting the allocation of food to adults in South Asian households (in Afghanistan, Bangladesh, Bhutan, India, Islamic Republic of Iran, Maldives, Nepal, Pakistan, Sri Lanka) and developed a framework of food allocation determinants. Two reviewers independently searched and filtered results from PubMed, Web of Knowledge and Scopus databases by using pre-defined search terms and hand-searching the references from selected papers. Determinants were extracted, categorised into a framework, and narratively described. We used adapted Downs and Black and Critical Appraisal Skills Programme checklists to assess the quality of evidence.
Out of 6928 retrieved studies we found 60 relevant results. Recent, high quality evidence was limited and mainly from Bangladesh, India and Nepal. There were no results from Iran, Afghanistan, Maldives, or Bhutan. At the intra-household level, food allocation was determined by relative differences in household members’ income, bargaining power, food behaviours, social status, tastes and preferences, and interpersonal relationships. Household-level determinants included wealth, food security, occupation, land ownership, household size, religion / ethnicity / caste, education, and nutrition knowledge. In general, the highest inequity occurred in households experiencing severe or unexpected food insecurity, and also in better-off, high caste households, whereas poorer, low caste but not severely food insecure households were more equitable. Food allocation also varied regionally and seasonally.
Program benefits may be differentially distributed within households of different socioeconomic status, and targeting of nutrition programs might be improved by influencing determinants that are amenable to change, such as food security, women’s employment, or nutrition knowledge. Longitudinal studies in different settings could unravel causal effects. Conclusions are not generalizable to the whole South Asian region, and research is needed in many countries.
Every day, households must make difficult decisions about how limited food should be shared among their members. In low-income countries, around 793 million people are undernourished  and over 3.5 million mothers and children under five die every year because they are undernourished . So, these food allocation decisions have important nutritional, and sometimes life-critical, consequences.
It is often assumed that food is allocated inequitably in households in the United Nations-defined region of South Asia (in Afghanistan, Bangladesh, Bhutan, India, Islamic Republic of Iran, Maldives, Nepal, Pakistan, Sri Lanka) . Tangential evidence of significantly higher female than male infant mortality rates  and social and cultural gender discrimination that pervades numerous cultural and religious practices [5, 6] are suggestive of a plausible pathway by which discrimination against women leads to them not receiving their ‘fair share’ of food . For instance, young women often stay at home and avoid moving around or interacting with the community (a practice known as purdah), women often describe their husband as their God, and it is common for women to serve men first and themselves last [8, 9].
International reviews have not found a consistent global trend of inequitable intra-household food allocation, except in South Asia [10–12]. In South Asia the scant evidence available suggests that women are discriminated against and receive less than their ‘fair share’, particularly in the allocation of high status, nutrient-rich foods [9, 13, 14]. This means that nutrition programs providing social transfers at the household level may fail to reach the intended target recipients, such as the most undernourished or pregnant women. On the other hand, if program implementers know which factors affect food allocation, and can identify those amenable to change, programs could be designed to target those individuals more effectively. Furthermore, behaviour change interventions without social transfers, or other programs or policies not directly related to nutrition, may be able to increase intra-household equity and improve nutritional outcomes by pushing the right levers.
However, intra-household food allocation has often been described as a ‘black box’ that is poorly understood [15, 16]. This may be because economic consumption and nutrition surveys are typically collected at the household rather than individual level, and also because evidence has been segregated by academic discipline. Thus, this study aims to identify the determinants of intra-household food allocation, focusing on allocation between adults from South Asian households, using a systematic and multidisciplinary literature review.
Materials and methods
We followed guidelines on systematic search protocols from Reeves et al.  and Petticrew and Roberts  and reporting guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) ) when relevant.
In two phases between October 2015 and January 2017, two authors independently ran and filtered the searches in PubMed, Web of Science Core Collection, and Scopus databases. The former two databases were included because they contain multi-disciplinary peer-reviewed literature, and the latter database (Scopus) because it contains non peer-reviewed literature.
We used a combination of medical subject heading (MeSH) and free text search terms, using asterisks to indicate a wildcard operator. The search syntax used in PubMed was:
(((((family OR household*)) AND (food OR energy intake OR food habits OR diet OR nutrition*)) AND (allocat* OR distribut* OR decision* OR shared OR sharing OR share))) AND (age factors OR "age" OR sex OR "gender")
South Asia was not used as a search term because databases have different systems for cataloguing studies geographically, and because international or theoretical results were also included. Instead, studies from other regions were excluded in the filtering process. This increased the sensitivity of the search at the expense of specificity, giving more irrelevant (but also more relevant) results. Other search terms relating to ‘inequity’, and ‘determinants’ were also not included to ensure adequate sensitivity.
Inclusion and exclusion criteria
We included quantitative, qualitative, anthropological, and theoretical studies from peer-reviewed and non-peer-reviewed sources that referred to the determinants of inequity in intra-household food allocation among adults. Inequity was defined as occurring when one person’s food needs were met more adequately than another’s needs . ‘Food’ could refer to calories, nutrients, food quantities, food types, or dietary diversity, and ‘needs’ were defined as biological requirements. We also included any papers that described the determinants of inequitable food allocation without explicitly measuring food intakes or needs if the paper referred to relative food allocations within households, rather than effects on absolute intakes.
Recognising that the capability to control food distribution decisions might be as important for wellbeing outcomes as the resulting food allocation [20, 21], we considered including literature on the determinants of control over food selection, preparation, and serving. However, since this review is intended to inform nutrition programming, and to limit the scope, we focussed on food allocation outcomes only. Therefore, this review excluded the extensive and multidisciplinary body of work on intra-household influences on food purchasing and preparation decisions, unless they were shown to affect the distribution of food.
We included any studies explaining inequity between different adults (different age-sex groups or different pregnancy or lactating status). The cut-off for adults was ≥15 years because studies often include ‘women of reproductive age’ by using the age range of 15 to 49 years. We excluded papers that only referred to food allocation among children (or between adults and children), or did not report on food allocation directly, for example by referring to anthropometry or energy expenditure. We also excluded any papers that did not refer to any determinants other than age-sex group or pregnancy status.
We included all studies relating to the UN-defined region of South Asia: Afghanistan, Bangladesh, Bhutan, India, Islamic Republic of Iran, Maldives, Nepal, Pakistan, Sri Lanka. We also included theoretical and international references that were not specific to a particular research setting. There was no publication date cut-off, because we predicted that empirical and high quality evidence would be limited and so did not want to exclude dated but relevant literature.
The search results were exported into EndNote reference management software for filtering. Excluded papers were organised into different folders labelled according to their reason for exclusion. Disparities in inclusion / exclusion decisions were resolved by consultation with a third author. From the systematic search results, we searched through the reference lists to find additional relevant results. We added additional sources by communication with the authors.
Study quality assessment
To assess the quality of quantitative results we used a modified Downs and Black checklist , and for qualitative results we used the Critical Appraisal Skills Programme checklist . Given the breadth and heterogeneity of results expected, a meta-analysis was not possible and so sources of bias were not factored into the data synthesis.
Data extraction strategy
Two authors independently extracted the author name, publication year, study location, study method, and determinant(s) of food allocation into Microsoft Excel databases. We then mapped out each determinant on paper, by grouping them into different themes. The identified themes were discussed and disparities resolved by referring back to the text. These themes were compiled into a conceptual framework, with discussion from all authors.
Quantitative studies: Geographical and methodological characteristics of selected articles (n=16)
Bangladesh (n = 5)
Abdullah and Wheeler 
Longitudinal 4x 3 day WFR
Rural Muslim households with at least one child under 5 years, from one village.
Men and non-pregnant, non-lactating women (age not specified)
Analysis of variance
Season (March to July vs September to December)
RDEAR = Relative Dietary Energy Adequacy Ratio (individual calorie intake as a proportion of body weight / adult male calorie intake as a proportion of body weight)
Bouis and Novenario-Reese 
Longitudinal 2x 1 day WFR
Households from 8 rural thanas. Men and women aged >18 years (average age 39 and 35 years respectively)
Regression (coefficients not reported)
• Occupation (farmer or agricultural labourer)
• Age and education of head of household
• Land ownership
FS/ES = Ratio between ‘food share’ (FS), proportion of total household food that a person consumed, and ‘energy share’ (ES), proportion of household calories that an individual consumed.
Kumar and Bhattarai 
Longitudinal 3x 1 day WFR
Households from 8 villages in 4 districts.
Men and women aged >18 years
(more detail not given; results described but effect size not reported)
Household caloric adequacy
Calorie ‘adequacy’ (Intakes / Requirements)
Pitt, Rosenzweig and Hassan 
1x 1 day WFR in 335 HH; 4x 1 day WFR in 50 HH
Bengali households from 15 villages (excludes hill tribes).
Men and women aged ≥12 years.
Linear regression coefficient
Tetens et al. 
Longitudinal 2x 1 day WFR
Two rural villages in lean and peak seasons.
Men and women aged 18 to <30, 30 to <60, and ≥60.
Analysis of variance
• Season (lean vs peak season)
• Socio-economic status
India (n = 8)
2x 1 day survey (older cohort only)
20 clusters, with over-sampling in disadvantaged areas. >90% Hindu, and 8% female headed households.
Older cohort of boys and girls includes adolescents aged 15 years.
Linear regression coefficient
• Puberty (growth)
• School enrolment
• Time use
• Number of meals
• Physical activity
Dietary Diversity Score by gender
Babu, Thirumaran and Mohanam 
Longitudinal 6x 3 day WFR
1 rural village in peak and lean seasons. Sample includes non-agricultural workers (mainly silk weavers), agricultural labourers, and land owning subsistence or ‘market-oriented’ cultivators.
Men and women (age not specified)
• Occupation (subsistence, market-oriented, non-agricultural, and agricultural labourer households)
RDEAR = Relative Dietary Energy Adequacy Ratio (Individual calorie intake as a proportion of individual requirements / Adult male intake as a proportion of his requirements); RDPAR = Relative Dietary Protein Adequacy Ratio (Individual protein intake as a proportion of requirements / Adult male intake as a proportion of his requirements)
Barker et al. 
Cross-sectional 1x 1 day survey
1 rural village, mostly cash crop farmers. Selected households containing a minimum of: husband and wife (age not specified), plus son and daughter both aged 3 to 8 years.
Principal component analysis
• Farm work, household chores
Oil intake (g), and frequency of snacking, fasting, and missing meals
Basu et al. 
Cross-sectional 1x 1 day 24h
Households from West Bengal, with men and women aged > 18 years.
Analysis of variance
• Rural vs urban
• Occupation (agriculturalist vs plantation worker)
• Microeconomic subgroups
EI-ER (Energy intake - Energy requirements), and age-sex groups ranked in order of EI-ER
Behrman and Deolalikar 
Longitudinal 4x 1 day 24h
2 rounds of 120 HH
Three rural villages.
Sampling stratified to include landless agricultural labourers and landowning cultivators. Men and women (age group not specified)
Linear regression coefficient
Food price elasticities
NAR = Nutrient adequacy ratio (Nutrient intakes / Requirements)
Brahmam, Sastry and Rao 
1x 1 day 24h
10 Indian states, selected households with at least one member of preschool age.
Descriptive comparison for adults
Household calorie adequacy (based on intakes of all respondents within the household)
Calorie adequacy (‘adequate’ = Calorie intake ≥ 70% Recommended Daily Intakes)
Longitudinal 2x 2 day 24h
Three groups (high caste, Scheduled Tribe, Scheduled Caste) in West Bengal. Sampled nuclear families with both parents alive, non-working women (for high caste) and working women (for Scheduled Tribe).
Availability of food (lean vs peak season)
Cereal intake – Recommended cereal intakes for a balanced diet
Longitudinal 4x 1 day 24h
Six villages in central and southern India.
Men and women (age not specified)
• Land holding vs landless
RI = Relative calorie intakes (Individual intakes / Adult male intakes)
Nepal (n = 1)
Cross-sectional 1x 1 day 24h & observation
Six villages in Western hills. Men and women aged 18-24, 25-49, and ≥50
Food serving habits, including serving order, asking for food, having second helpings, substituting foods, and channelling foods.
FQS = Food quantity score (individual consumption as a proportion of total household consumption / Individual body weight as a proportion of total household body weight)
Pakistan (n = 1)
Government of Pakistan 
Male head of household, plus woman of childbearing age (preferably pregnant or lactating) and all children aged under 3 years.
Linear regression (coefficients not reported)
• Household size
Individual intake / Household intake (calories, protein, iron and vitamin A)
Sri Lanka (n = 1)
Rathnayake and Weerahewa 
Households from lower income group in urban Kandy.
Fathers and mothers (age not specified)
Linear regression coefficient and t-test
• Mother’s income
• Mother’s education
• Family size
RCA = Relative calorie allocation (calorie intake as a proportion of recommended allowance / Household intake as a proportion of household allowance)
Qualitative studies: Geographical and methodological characteristics of selected articles (n=15)
Qualitative studies (n = 15)
Determinant / theme
Bangladesh (n = 4)
One rural Muslim village in central-west Bangladesh. Mostly male respondents. Particularly in poor households, women also participated.
Notes recorded on paper, and results analysed by wealth group.
• Economic contributions
• Norms relating to receiving a ‘fair share
• Food security and scarcity
• Household structure (allocation to women in parental vs marital homes)
Method of quantifying discrimination not specified
Discrimination in consumption of food items and types
Focus group discussions, case studies, and other methods.
Case studies of 22 women; 19 men
Three villages participating in an agricultural program.
Male and female beneficiaries of the program.
Triangulation of multiple qualitative techniques
• Physically strenuous labour contributions
• Bargaining power
• Individuals tastes and preferences (women eating more less-preferred foods than men)
• Food availability (Seemingly contradictory anecdotes that increased food availability did not change food allocation patterns much, but food scarcity led to men being less likely to have sufficient food than women.)
Allocation of specific food items
Rohner and Chaki-Sircar 
Observation? (limited detail)
• Caste - High caste men and boys had the best quality food, especially eggs, milk and fish. Implied that this is less the case with lower caste households.
India (n = 7)
Caldwell, Reddy and Caldwell 
In-depth questions and case studies
50% of 4773 population (n = 2387)
One large village and eight smaller villages in rural area of southern Karnataka.
Individual respondent characteristics not reported.
Daily scrutiny of findings and on-going modification of questions to identify behavioural patterns
• Beliefs about equity - Respondents were reluctant to talk about food allocation. This “demonstrates the existence of some belief in equitable distribution”. Inequity was “as much a matter of poor communication as of deliberate intent”.
• Interpersonal relationships – Differential food allocation was in decline due to the strengthening bond between husband and wife.
Daivadanam et al. 
Interviews and focus group discussions
Rural areas (one coastal and one non-coastal)
Men and women aged between 23 and 75 years, of different religions and socio-economic status. Mostly female heads of household and others involved in dietary decision-making. One group mostly comprised of men.
Modified framework analysis using inductive and deductive reasoning – did not try to fit the data into pre-identified themes.
• Tastes and preferences - women prioritised their own food preferences the least
Allocation of preferred foods
62 pregnant women or mothers
Two districts from Tamil Nadu. All households had a total income of <200 Indian Rupees per month.
All female respondents, and most were pregnant, lactating, or a mother of child under two years.
Analysis method not reported.
• Cultural beliefs about foods – pregnant and lactating women avoided certain foods, and this caused them to have less adequate diets, particularly if there was lack of variety or budget to replace avoided foods with nutritious alternatives
Allocation of specific food types that have different properties
Khan et al. 
In-depth interviews and participant observations
One study village from western Uttar Pradesh
20 main female informants (age not reported) from different caste and class groups, and extensive discussions with other villagers, including men.
Analysis method not reported.
• Economic contributions - Respondents said that men should eat more because they earn and provide for the family. The belief that men should be given more food was rarer (3 / 6 respondents) when women earned an income. Some women ate less because they did not have time to eat. Women had less appetite due to fatigue after cooking and serving her family members.
• Religious and cultural beliefs - Women “enjoy this spirit of sacrifice for the family”. There was also a belief that pregnant women should eat ghee (clarified butter) to give lubrication during birth. The cultural norm of the female cook eating last meant that women eat less.
• Status - Women had a religious obligation to fast for the family and for men to have superior status and allocation of food.
• Household income - In poor households, the eating order negatively affected women; in wealthy landowning families it did not.
Allocation of food generally, and also of specific food items
Review of ethnographies
Review of many studies from across India.
• Interpersonal relationships - Serving food was a way that women show love and affection to their men. Similarly, refusing to eat food was a common method for a man to punish his wife or mother.
Semi-structured interviews, and informal conversations and participant observation
Four villages in sub-Himalayan district.
Respondents: Government workers, NGO employees, village men, women, and couples. Convenience sampling to include respondents from different class, caste, age, gender and household composition. Plus, national-level NGO representatives from Delhi.
Thematic analysis, by coding themes and intersections between themes
• Labour / physically strenuous economic contributions - women ate the least during planting and harvest seasons when they were working the hardest (and working harder than men) due to a lack of appetite from the exhaustion of the labour
Sikar district, rural agricultural village with Hindu (85%) and Muslim (15%) castes.
Individual participant characteristics not reported.
• Cultural beliefs / eating order - youngest daughter in law usually cooks and eats last, leading to less diverse diet as there may be no lentils or vegetables left.
• Food scarcity – eating order particularly affected the daughters-in-law during food scarcity.
• Economic contributions affect food allocation – income earners are given priority of delicacies and nutrient-rich items like ghee,
• Interpersonal relationships – food allocation affected by kinship status, particularly agnation.
Allocation of specific food items
Nepal (n = 4)
Gittelsohn, Thapa and Landman 
Key informant interviews, participant observation, unstructured pilot observations, focus group discussions, and structured pile sorts
Six rural villages, with a mixture of agricultural and non-agricultural occupations.
Men aged 18 to 50 years, and women aged 18 to 50 years, including menstruating, pregnant, lactating, and postpartum women.
Analysis method of qualitative results not reported
• Cultural beliefs - Men were considered the least vulnerable and therefore had the fewest dietary restrictions, unless they were ill. Older people considered vulnerable and believed to require strengthening foods. Some pregnant women mentioned preferentially eating animal products due to ‘craving’. Post-partum women avoided ‘cold’ foods and ‘indigestible’ foods like wheat bread, peanuts, soybeans and corn porridge. They preferentially ate certain ‘hot’ foods like fish and millet roti. Lactating women avoided fresh green leafy vegetables that were perceived as ‘cold’ and believed to cause arthritis, swelling and other illnesses.
• Status - Women’s status increased by having children. Before childbearing, young married women had low status and were subtly discouraged from eating special foods like animal products and certain fried foods. Men’s higher status was “recognised in many ways, including household food behaviour”
Allocation of ‘special’ foods
Madjdian and Bras 
Two Himalayan communities from Humla district.
Female respondents (15 Buddhist; 15 Hindu Dalit or Chhetri) of reproductive age (aged 15 to 49 years). Selected respondents who were pregnant or had been pregnant at least once before.
Inductive coding based on a conceptual framework, using bottom-up and top-down coding to allow new themes to emerge.
• Beliefs about ‘fair share’ / Religion - Buddhist households allocated food according to appetite; this was not reported in Hindu households.
• Cultural beliefs and food habits - Certain foods believed to cause skin allergies. Eating order was associated with eating less.
• Food security - Food insecure households did not adhere to food proscriptions due to a lack of food
Morrison, J. et al. Formative research to inform the development of interventions to tackle low birth weight in the rural plans of Nepal. In preparation.
Interviews and focus group discussions
25 women, 2 groups.
One district in Terai.
25 young daughters-in-law from marginalised groups living in extended families, one focus group discussion with men, and one with Female Community Health Volunteers who were mothers-in-law. Most (90%) respondents were Hindu. Respondent age not reported
Descriptive content analysis. Data were copied from transcripts into columns of 15 descriptive emergent categories.
• Status - Respondents reported that men ate more because they had higher status and so deserved to.
• Interpersonal relationships - Husbands may hide food for their pregnant wives, disrespecting the mother-in-law.
• Household structure - Married women who visited or lived at their maternal homes had fewer food restrictions.
• Economic contributions – Manual labourers were perceived to deserve more
• Cultural food beliefs – pregnant women ate less (fear of full stomach harming the baby)
• Household income – no effect of food being bought vs grown on food decisions.
Allocation of food generally, and also of ‘special’ foods
Panter-Brick and Eggerman 
120 heads of household
Population of high and low caste Indo-Nepalese and Tibeto-Burmese ethnic groups from four Panchayats in two districts.
Sampled households to ensure proportional representation of large and small land-holding farmers
Age of respondents not reported.
Analysis method of qualitative results not reported.
• Food shortages / Ethnicity - Indo-Nepalese household used discrimination against women as a coping mechanism during food shortages whereas Tibeto-Burmese households did not.
Studies with theoretical, hypothetical or general mention of determinants – author, year, determinant and food allocation outcome (n=29)
Bangladesh (n = 5)
Relative calorie adequacy
Chen, Huq and d’Souza 
Relative economic contributions
Allocation of food quantity and quality
Cultural beliefs / serving order
Relative social status
Household wealth (poverty)
India (n = 3)
Cantor and Associates 
Relative economic contributions (proxied by body size)
Coffey, Khera and Spears 
Relative social status
Das Gupta 
Relative social status (having sons)
Relative calorie adequacy
Nepal (n = 1)
Gittelsohn, Mookherji and Pelto 
Cultural food beliefs
Household food insecurity
South Asia (n = 2)
Relative cultural status / life cycle in the household
International (n = 16)
DeRose, Das and Millman 
Relative social status
Calorie and food allocation
Haddad and Kanbur 
Control over income
Calorie and food allocation
Haddad et al. 
Decision-making (identify of decision-maker)
Control over income
Relative social status (the traditional role and perceptions of women)
Beliefs about fairness
Relative economic contributions
Beliefs about fairness
Allocation of nutrient-rich foods
Social mobility / participation in shopping
De Schutter 
Beliefs about fairness
Control over food production or purchasing
Den Hartog 
Beliefs about fairness
Social status (in relation to modernisation and urbanisation)
Decision-making / control over income
Household composition (nuclear vs joint households)
Van Esterik 
Overlap between cultural beliefs during pregnancy, social status, and poverty
Household size (number of senior women)
No countries mentioned (n = 2)
Relative economic contributions
Hamburg et al. 
Quality assessment of selected papers
Quality assessment of quantitative results (n = 16) using an adapted Downs and Black checklist
Unable to determine
Is the hypothesis or aim of the study clearly described?
Are the outcomes described in the Introduction or Methods?
Are the characteristics of the respondents described?
Are the determinants of interest described?
Are the distributions of principal confounders described?
Are the main findings of the study clearly described?
Does the study provide estimates of random variability?
Have probability values (not cutoffs) been reported?
Validity, bias and confounding
Was the sample representative of the population?
Were the respondents representative of the population?
Were the statistical tests appropriate?
Were the main outcome measures used valid and reliable?
Was there adequate adjustment for confounding?
Were losses of respondents taken into account?
Quality assessment of qualitative results (n = 15) using Critical Appraisal Skills Programme (CASP) checklist
Critical Appraisal Skills Programme (CASP) quality indicator
Unable to determine
Was there a clear statement of the aims of the research (the goal, importance, and aims)?
Is a qualitative methodology appropriate?
Was the research design justified as appropriate to address the aims of the research?
Was the recruitment strategy justified as being appropriate to the aims of the research (how and why respondents were sampled, or discussions of non-response)?
Were the data collected in a way that addressed the research issue (detail and justification of methods, issues of data saturation)?
Has the relationship between researcher and participants been adequately considered?
Have ethical issues been considered (informed consent and ethical approval)?
Was the data analysis sufficiently rigorous?
Is there a clear statement of findings?
Quality assessments showed that the results were limited by the representativeness of the samples, and methods for quantifying and addressing non-response. Quantitative results rarely gave exact p-values (in many cases there was no statistical test) and few qualitative studies discussed the potential influence of the interviewer on the respondents’ answers, the rationale for their sampling methods, or their analysis techniques.
Framework of determinants of intra-household food allocation
The findings are narratively summarised by determinant, starting at the intra-household level, then the household level, and finally the distal determinants.
Intra-household level determinants
Relative economic contributions or physically strenuous work
Many theoretical or anecdotal studies suggested that selective investment in economically productive members (typically adult men) was a rational household survival strategy in the South Asian context of predominantly manual farming labour and economic returns to health [12, 24–29]. However, these gender differences were hypothesised to differ by wealth status, with poorer households being more reliant on women’s economic productivity (and so more equitable) than less poor households .
Three quantitative studies corroborated this food-health-income link, although none directly measured the effect of relative income on food allocation. Rathnayake and Weerahewa  found that mothers’ incomes were positively associated with their own relative calorie allocations, but the authors did not adjust for total household income. Using body size as a proxy for economic capacity, Cantor and Associates  found a positive association between body size and relative food allocation, although it is not known whether the authors adjusted for the higher energy requirements associated with heavier people. Pitt et al.  found that men’s health ‘endowments’ (pre-existing health status) determined their allocations of food, whereas women’s did not; a 10% increase in health endowment was associated with a 6.8% increase in calorie intake for men but only one tenth of that for women . These differences were posited to reflect gender differences in economic returns to nutritional investment.
The food-health-income linkage was supported by qualitative studies that reported respondents’ beliefs that income earners deserved to be allocated more food [33, 34], but this was often conflated with beliefs about physiological requirements, particularly for manual labourers ( and Morrison J, Dulal S, Harris-Fry H, Basnet M, Sharma N, Shrestha B, Manandhar DS, Costello A, Osrin D, Saville N: Formative qualitative research to develop community-based interventions addressing low birth weight in the plains of Nepal. Working draft, in preparation). One study also reported beliefs that elderly people should be allocated favoured foods to acknowledge their ‘past contributions’ to the household , and that men required more than women because men’s work was more physically strenuous than women’s home-based work . Conversely, Hartog  anecdotally suggested that the allocation of food according to economic contributions was no longer justified because of the increased mechanisation of agricultural work, and Aurino  supported this empirically. There was no association between gender differences in workload (with 15-year old girls working significantly more than 15-year old boys) or frequency of exercise and the gender differences in dietary diversity.
Cultural and religious beliefs about food properties and eating behaviours
Sixteen studies described cultural beliefs about food properties and eating behaviours as a determinant of food allocation, typically showing how these beliefs caused women to receive comparatively less.
Some foods were believed to be ‘unhealthy’, ‘strengthening’ or ‘digestible’, and therefore deliberately avoided or selected by vulnerable people, such as elderly people, or pregnant or lactating women . Short-term ‘transitory’ states, such as menstruation and illness that are perceived to make a person ritually unclean (‘jutho’ (Nepalese)), were reported to cause inequity in food allocation [9, 38]. Certain fruits and vegetables were considered unhealthy for post-partum or lactating women , and other foods were believed to cause illness  or skin allergies  in the breastfeeding child. Elderly people were believed to require soft ‘digestible’  and ‘strengthening’ foods [39, 41]. Pregnant women were reported to require ghee (clarified butter), to facilitate an easier, lubricated birth , but avoid certain foods that cause illness, indigestion, fits, delirium, or large babies (and therefore difficult labour)  and eat less because of a belief that a full stomach would harm the baby (Morrison J, Dulal S, Harris-Fry H, Basnet M, Sharma N, Shrestha B, Manandhar DS, Costello A, Osrin D, Saville N: Formative qualitative research to develop community-based interventions addressing low birth weight in the plains of Nepal. Working draft, in preparation). Another phase condition is puberty; according to the ‘pubertal hypothesis’ households might change intra-household food allocation in favour of adolescents going through pubertal growth spurts, however this was not supported empirically .
The categorisation of foods as heating, neutral or cooling was also linked to differential food allocation . Examples of ‘heating’ foods included wheat, fish, millet, and milk, and ‘cooling’ foods included yogurt, fruits, green beans, gourds, and rice . Again, these categories were related to the condition of the individual; for instance, lactating women avoided cooling foods . Some authors noted that these restrictions caused an overall reduction in women’s dietary intake  perhaps due to insufficient household budget for nutritious alternatives . The overlap of women being in the ‘phase condition’ of being pregnant, having low social status, and extreme poverty, was hypothesised as a cause of inequitable allocation of food towards pregnant women , whereas another study found that food insecure households did not adhere to food proscriptions due to a lack of food .
Cultural beliefs about the status or value of foods were also linked to food allocation . Some people were allocated or ‘channelled’ specific foods, and these foods were often high status and expensive. For example, ghee (a high status food) was often only given to men  (perhaps with the exception of pregnant women, as documented earlier). Food ‘channelling’ was associated with significantly higher food quantities, so those who were given special foods were also given more food in total .
Religious beliefs may affect the distribution of food. For example, beliefs about the meaning of food, such as the act of eating being considered a form of worship in Islam, was suggested as a determinant of food allocation, although the direction of effects was not specified . Fasting caused women to be allocated comparatively less food, because women fasted more frequently and strictly than men [27, 33].
Eating order was another key factor in food eating and allocation behaviours. Daughters-in-law, often young, newly married women, tended to serve themselves last (to show deference and ensure the wellbeing of male members ) and this was associated with eating less [9, 33, 40] and also lower quality diets than others [34, 45]. Gittelsohn  found that late serving order at meal times, being the food server, and not having a second helping were all significantly negatively associated with the quantity of food consumed. Two authors suggested that the negative effects of serving order were caused by limited food availability, because women tended to ensure everyone else had enough before serving themselves the remainder [9, 44].
Relative social status within the household, according to cultural norms
High social status and perceived deservedness of household members was reported by 14 studies as a determinant of intra-household food allocation, although no studies quantified the effect empirically. Some mentioned status in general terms, without ascribing high or low status to particular household members but suggesting that people with lower status would receive less food and less preferred foods [12, 14, 28, 29, 46], whereas others reported that men had higher status and therefore were allocated more food [9, 41, 47]. Pelto  noted that modernisation and increasing urbanisation was reducing the effect of status on food allocation.
Women’s identity as being lower status, frugal, modest, and subservient was described as a determinant of food allocation that favoured men but was often internalised by women [33, 48]. This identity was also interlinked with perceptions of body image, that also led women to eat comparatively less .
In addition to differences between genders, food allocation was also determined by differences in social rankings among women within households , hierarchy within the patriline , and variations within individuals over time. Women received more food as their status increased with age , by having children , and, particularly, by having sons . In contrast, Rizvi  anecdotally suggested that increases in female status over time did not affect food allocation.
Belief that everyone should be given their ‘fair share’
Overlapping these beliefs about food properties and status were locally-held beliefs about fairness, and different definitions of what ‘fair’ means . An Indian study concluded that beliefs about fairness affected food allocation because the respondents were reluctant to discuss disparities in food allocation . Abdullah  also indicated this, by reporting a respondent’s description of a mother-in-law as a “bad woman” (p112) if she did not give her daughter-in-law special foods that others received, and Madjdian and Bras reported that Buddhist households allocated food according to appetite . Pitt et al. reported that the tendency for households to equalise food allocation, rather than allocate food in an income-maximising way, was a reflection of households’ aversions to inequity . Pinstrup-Andersen also hypothesised that perceived nutritional need determined food allocation (arguably a definition of fairness) . Conversely, three others reported an ideological belief that men deserved to be given more than women [33, 43, 52].
Decision-making, social mobility, and control over resources
The ten studies on decision-making, control over resources, social mobility, or identity of the cook were all anecdotal or theoretical. Few specified who the decision-maker was or who would benefit from the decisions [15, 26, 53]. Haddad et al. noted that female decision-makers may be more likely than male decision-makers to allocate food in a way that maximised the household’s nutritional outcomes , and other work suggested that women’s control over income [25, 54, 55] (or production or purchasing ) would affect food allocation in favour of women. However, decision-making in nuclear households was also a risk factor for inequitable allocation towards women, as female decision-makers were responsible for ensuring that everyone else was sufficiently fed .
Related to this was different household members’ social mobility, and freedom to go food shopping or access food outside of the home [29, 53]. Women were described as having less social mobility and this was linked to lower food allocations . However, it was also suggested that there may be less inequity against women than expected because food allocation occurs within the household, which, compared with the public sphere, is a domain in which women traditionally have more control .
Related to this, many studies suggested that ‘bargaining power’ was an important determinant of food allocation. Some described a general linkage , while others described various microeconomic theories whereby individuals rationally aim to maximise their utility by bargaining over household resources such as food [12, 24, 56]. The strength of a person’s bargaining power is determined by their ‘fallback position’ (the utility that the individual would achieve if cooperation with other household members fails). Bargaining power may be predicted by the size of dowry for women , social norms that determine how goods such as food can be exchanged or used, and /or perceived requirements . Naved also indicated that bargaining power might affect food allocation, with specific reference to micronutrients . Appadurai described the process of bargaining with food, particularly in reference to daughters-in-law feeling resentment about their subservient role . Daughters-in-law were reported to communicate resentment by being reluctant to cook, destroying food, or making small signs of discontent when serving food .
Food as a means to establish and reinforce interpersonal relationships
A study on the psychology of feeding found that food serving may be determined by the emotional state of the server and recipient, and that feeding was done to build relationships . Serving and eating food was reported as a key determinant of intra-household food allocation  and a means to indicate rank , show disrespect or displeasure ( and Morrison J, Dulal S, Harris-Fry H, Basnet M, Sharma N, Shrestha B, Manandhar DS, Costello A, Osrin D, Saville N: Formative qualitative research to develop community-based interventions addressing low birth weight in the plains of Nepal. Working draft, in preparation), punish or reward people , or express love and strengthen relationships . Two studies suggested that a strong bond between husband and wife might reduce the inequity against the wife that would otherwise be imposed by the mother-in-law ( and Morrison J, Dulal S, Harris-Fry H, Basnet M, Sharma N, Shrestha B, Manandhar DS, Costello A, Osrin D, Saville N: Formative qualitative research to develop community-based interventions addressing low birth weight in the plains of Nepal. Working draft, in preparation).
Individual tastes and preferences
One study  reported a general hypothesis that food preferences determine allocations. One study found that women were allocated the less-preferred foods , and another found that women prioritised their own food preferences the least . A new vegetable production program, which had increased the availability of less popular vegetables, had caused an increase in women’s consumption of those vegetables .
Food insecurity and scarcity
Most studies suggested that women were more sensitive to changes in food availability, and acted as a buffer for the household in food insecure conditions [40, 52, 55], particularly the youngest daughter-in-law . Household calorie adequacy was a better predictor of calorie adequacy for women than for men , years of higher rice yields were linked to higher equity in calorie allocation , and women were more sensitive to food price changes (had higher food price elasticity) than men . Although one study found no overall effect of food insecurity, there were differential effects between villages, and in food-scarce months landowning households favoured men at the expense of women while labourer households favoured adults at the expense of children . Another study found some ethnic variability in these effects, with Indo-Nepalese household using discrimination against women as a coping mechanism during food shortages and Tibeto-Burmese households not changing their food distribution patterns in this way .
In contrast, some studies found opposing or no effects. Naved found that increased food availability did not affect food allocation patterns, but food scarcity led to men being less likely to have sufficient food than women . Abdullah also found women’s proportion of men’s intakes increased from 81 to 90% between food secure and food short seasons, in poor households . A later analysis by the same authors found no significant effect after adjusting for differential requirements , and another also found no effect of scarcity on calorie allocation .
Household wealth and income
Evidence was mixed on the effect of household wealth and income. Three quantitative studies reported no effect [31, 38, 67], while Pinstrup-Andersen’s  theoretical study hypothesised that there was an effect without specifying the direction. Two qualitative studies reported higher inequity in poorer households [33, 68], but a qualitative study reported that the source of food, whether bought or grown, had little effect on food decisions (Morrison J, Dulal S, Harris-Fry H, Basnet M, Sharma N, Shrestha B, Manandhar DS, Costello A, Osrin D, Saville N: Formative qualitative research to develop community-based interventions addressing low birth weight in the plains of Nepal. Working draft, in preparation).
Although studies linked food beliefs and food allocation, no studies measured the association between dietary knowledge and food allocation. Das Gupta suggested that lack of knowledge did not explain the comparatively inadequate intakes of pregnant and breastfeeding women in India , whereas others suggested the opposite [14, 38].
One study found that the greatest gender inequity occurred in agricultural labourer households, compared with market-based, subsistence farmers or non-agricultural households . Another found that farm work and household chores were associated with consuming fewer snacks, and that all three (farm work, household chores, and snacks in a combined score) were significantly higher for women than men . In contrast, two studies found no effect of being an agricultural labourer household  or household occupation  on food allocation. However, if the household head was a farmer, then milk was allocated more equitably and meat less so .
Only Bouis and Novenario-Reese mentioned the effect of land ownership, finding that landowning households were less equitable with their allocation of eggs but more equitable with fish .
Household size and structure
The effect of household size was also mixed. Van Esterik suggested that the number of senior women in a household would affect food allocation patterns , while Rizvi suggested that household size affected intakes of individuals, but not allocation patterns . Rathnayake and Weerahewa reported a significant positive effect of household size on mothers’ relative calorie allocations in Sri Lanka , and a study from Pakistan also found higher intakes for the household head, pregnant women, and children under five years, relative to average household intakes, in larger households . Conversely, another study showed that large household size (more than eight children) was associated with significantly higher male than female calorie adequacy .
(Morrison J, Dulal S, Harris-Fry H, Basnet M, Sharma N, Shrestha B, Manandhar DS, Costello A, Osrin D, Saville N: Formative qualitative research to develop community-based interventions addressing low birth weight in the plains of Nepal. Working draft, in preparation) reported a trend for food-related rules to be relaxed when women returned to their parental homes, where they had fewer food restrictions. This was supported by Abdullah , who found that women were given less or fewer special foods in the marital home, and so women (or adolescent, unmarried girls) received special treatment when at their parental homes. Comparing joint and nuclear households, Ramachandran reported that women were allocated comparatively less in nuclear households, where the women had the responsibility of feeding everyone; whereas, in joint households women were given more because their mother-in-law adopted the role of food planning and distribution .
Religion, ethnicity and caste
Evidence on the effects of religion, ethnicity and caste was limited and mixed. Van Esterik  hypothesised that religion was a determinant of food allocation, particularly through religious influence on food classifications systems. There were no differences between Buddhists and Christians in food allocation , but Buddhist families were more equitable than Hindu households . Rathnayake and Weerahewa found no effect of ethnicity on relative calorie allocations , whereas Panter-Brick and Eggerman found that food shortages caused discrimination against women during food shortages among Indo-Nepalese households but not among Tibeto-Burmese households . No studies explicitly described the effect of caste, but two studies implied that inequity would be greater in high caste groups [63, 71].
Two quantitative studies relating to seasonality found contradictory, non-significant and unexplained effects on intra-household food allocation. In Bangladesh, Tetens et al. found more equity in food allocation during peak agricultural production seasons , whereas in India Chakrabarty found less equity in cereal consumption in the peak season . A qualitative study from India found that women ate the least during planting and harvest seasons when they were working the hardest (and working harder than men) due to a lack of appetite from the exhaustion , and a seasonal calendar from Bangladesh showed that women were allocated fewer eggs and fish than men, particularly during food insecure months . An anecdotal study suggested that predictable seasonal variation was unlikely to affect food allocation patterns because households would have coping strategies for predictable variations in food availability . However, if this shortage overlapped with periods of more pregnancies or more female agricultural labour inputs, then women would have less adequate diets than other household members .
Village and region
Regional differences in intra-household food allocation were varied. Basu et al. found no differences between urban and rural areas among the Lechpas ethnic group in India , whereas a study from Pakistan found small but significant regional variation in micronutrient allocation , with higher dietary adequacy for men in certain regions and lower adequacy for pregnant or lactating women in others. The authors suggested that this may have been a result of regional differences in cultural attitudes and beliefs regarding pregnancy, but did not describe these attitudes in detail. Harriss-White also found differences in inequity between four different villages in India, which she hypothesised may have been due to differences in land ownership and methods of agricultural production .
Although we searched for literature across South Asia, studies were mostly from Bangladesh, India, and Nepal, with few from Islamic Republic of Iran, Pakistan, and Sri Lanka, and none from Afghanistan, Maldives or Bhutan. We identified eighteen determinants of intra-household food allocation, many of which were specific to the South Asian context and centred on interlinked aspects of poverty, cultural beliefs, and power. The review suggests that the most equitable households are low caste households  in which women earn an income  and there is low educational status of the household head  (indicative of lower socioeconomic status) but that equitable households will also be food secure  (indicative of higher socioeconomic status).
We hypothesise that these seemingly conflicting effects could be reconciled in a non-linear relationship between socioeconomic status and inequity. During acute or unexpected food shortages, households selectively invest limited calories in men because they have more labour opportunities [62, 63]. For example, recent unexpected shocks may include the 2015 Nepalese earthquakes . As food security increases and food shortages become more predictable, households become more equitable [65, 72, 73]. Low caste households are often described as more egalitarian , partly because low caste men do not inherit land,  but also because women have comparatively higher economic contributions . The positive effect of individuals’ relative economic contributions on their shares of household food is also supported by evidence from the Philippines  and China . At higher levels of socioeconomic status, inequity may increase again . This is supported by the finding that women from landowning Indian households are thinner than in landless households . Inequity amongst higher socioeconomic groups may be characterised by preferential “channelling” of high status, often micronutrient-rich luxury foods such as meat or dairy , rather than by unequal allocation of staples that may occur in the poorest groups . If true, this channelling could result in social rather than nutritional inequity, or perhaps inequity of micronutrients rather than calorie allocation. This may explain the surprising negative gradient in the prevalence of anaemia in women with increasing wealth in Nepal (anaemia: 32% in the lowest wealth quintile, and 49% in the middle quintile) , despite the relatively high cost of micronutrients required to reduce anaemia. This inequity may decline in households where women are highly educated and ‘modern’, as they may have the most knowledge of dietary requirements (to counteract discriminatory cultural food practices) and these households may be less socially conservative and restrictive towards women. Although no studies have provided evidence to support this directly, the prevalence of anaemia in Nepal does fall to 36% in the highest wealth quintile .
Any socioeconomic level, dynamic intra-household factors (such as bargaining, preferences and interpersonal relationships) will introduce variance within these trends, while cultural norms and food practices (that have wide local variation but are slow to change ) may introduce variance and also determine the strength of association between socioeconomic status on food allocation.
Limitations of the study, and future work
This study benefitted from a systematic literature search but the results and conclusions are limited by the lack of recent evidence. Given the rapid changes in labour migration, engagement in non-farm work, and mechanisation of farm work , the full framework should be tested with recent data. Another limitation is that most studies came from Bangladesh, India and Nepal, so the results may be less or not valid for other South Asian countries that did not have any or many studies (particularly Afghanistan, Bhutan, Maldives, Iran, and Pakistan). Even within the results from India, Bangladesh and Nepal, there is wide heterogeneity in culture, beliefs, and institutions, making generalisations difficult. Many results arose from snowballing, indicating poor indexing of multi-disciplinary evidence, so the included studies may be subject to citation bias.
Most papers considered only a few determinants in their analyses and did not control for possible confounders, so the pathways in the framework cannot be disentangled. For example, we cannot tell whether papers that tested the effects of seasonality or wealth on food allocation would have found the same results after controlling for household food security. Similarly, the overlap of cultural norms, social status, income earning, bargaining power, and participation in decision-making, means that the effects of these intra-household determinants cannot be distinguished. We expect that these intra-household determinants co-exist, sometimes reinforcing and other times opposing each other.
To truly understand these intra-household processes, longitudinal mixed methods are required to examine each possible determinant at different stages in the household life cycle (adolescents, newlyweds, senior members, elderly), with different phase conditions (during puberty, illness, menstruation, pregnancy, post-partum, and breastfeeding), at different points in the food acquisition–preparation–distribution pathway, in different socioeconomic groups, in different regions and in different seasons. Given the breadth of this evidence gap, research to inform nutrition program design could particularly focus on the determinants of food allocation that may be amenable to change, such as food security, women’s employment, or nutrition knowledge. Most studies focused on energy or food quantity, so more research is needed on the allocation of micronutrient-rich foods . Other next steps could link the evidence on factors affecting the determinants in this framework, such as predictors of food choice, bargaining power, and food security.
Implications of the findings: what does this mean for nutrition interventions?
The findings indicate that women are disadvantaged in the allocation of food, and that women’s nutrition outcomes could be improved through changes in intra-household food allocation patterns. In particular, pregnant women tend to receive lower relative allocations, and this has important nutritional implications because nutrition during pregnancy is associated with maternal health outcomes, intra-uterine growth retardation, child health outcomes, and is a key point in the intergenerational cycle of undernutrition . As such, interventions may need to particularly prioritise pregnant women.
By predicting the distribution of transfers at all levels of socioeconomic status, social transfer programs could be designed to ensure that the intended recipients receive the transfers. For example, programs delivering transfers in emergency contexts may need to ensure that transfers are large enough , so that transfers will reach less economically productive household members. Poorer households might require additional resources such as food or cash transfers to improve the nutritional status of women. Low caste households may be more likely to share these transfers equitably, and so additional intervention components (such as behaviour change communication) to ensure the transfers reach target recipients may only be required if the programmer intends to disproportionately target women (or pregnant women).
In contrast, transfers to high caste or better-off groups may need to include a behaviour change component to ensure that transfers reach women. Alternatively, programs delivering transfers to high caste groups could provide lower status, less desirable goods, such as flour rather than rice , to ensure that transfers will be preferentially distributed to lower status household members. This leads to a wider discussion on programmatic objectives, and whether programs intend to challenge patriarchal norms to empower women and improve nutrition, or to work within patriarchy to achieve optimal nutritional outcomes. Furthermore, high caste better-off households that can already afford more micronutrient-rich foods may not need more resources to improve maternal nutrition – behaviour change interventions may be sufficient.
Alternative, or complementary, approaches to improve intra-household equity in food allocation may include: interventions that provide income-generating activities for women, women’s groups to increase social mobility and bargaining power or otherwise empower women, or agricultural programs to improve food security.
There are many possible household-level and intra-household determinants of intra-household food allocation, but evidence is out-dated and not comprehensive. Local context and variation in social hierarchies makes generalised conclusions difficult. Programs delivering social transfers may find differential intra-household distribution of transfers in different socioeconomic groups. Programs affecting determinants that are amenable to change, such as household food security, bargaining power, and gender-specific labour opportunities, may cause changes in intra-household food allocation patterns.
This research was funded by Child Health Research Appeal Trust (CHRAT) and UKaid from Department for International Development South Asia Research Hub (PO 5675). The donors had no role in the design, analysis, interpretation, or preparation of the manuscript.
Availability of data and materials
HHF designed the study protocol, with inputs from NMS and AC. HHF and NS conducted the literature search, and NMS resolved any conflicts in study selection. HHF drafted the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
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- FAO/ IFAD/ WFP. The State of Food Insecurity in the World 2015. Meeting the 2015 international hunger targets: taking stock of uneven progress. Rome: FAO; 2015.Google Scholar
- Black RE, Allen LH, Bhutta ZA, Caulfield LE, De Onis M, Ezzati M, Mathers C, Rivera J. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. 2008;371:243–60.View ArticlePubMedGoogle Scholar
- Sen AK. Family and food: sex bias in poverty. In: Bardhan P, Srinivasan T, editors. Rural poverty in South Asia. New York: Columbia University Press; 1988. p. 453–72.Google Scholar
- Chen LC, Huq E, d’Souza S. Sex bias in the family allocation of food and health care in rural Bangladesh. Popul Dev Rev. 1981;7:55–70.View ArticleGoogle Scholar
- Cameron MM. On the edge of the auspicious: Gender and caste in Nepal. Urbana and Chicago: University of Illinois Press; 1998.Google Scholar
- Kondos V. On the Ethos of Hindu Women: Issues, Taboos, and Forms of Expression. Kathmandu: Mandala Publications; 2004.Google Scholar
- Sen A, Sengupta S. Malnutrition of rural children and the sex bias. Econ Polit Wkly. 1983;18:855–64.Google Scholar
- Appadurai A. Gastropolitics in Hindu South Asia. Am Ethnol. 1981;8:494–511.View ArticleGoogle Scholar
- Gittelsohn J. Opening the box: intrahousehold food allocation in rural Nepal. Soc Sci Med. 1991;33:1141–54.View ArticlePubMedGoogle Scholar
- Berti PR. Intrahousehold distribution of food: a review of the literature and discussion of the implications for food fortification programs. Food Nutri Bull. 2012;33:S163–70.View ArticleGoogle Scholar
- Haddad L, Peña C, Nishida C, Quisumbing A, Slack A. Food security and nutrition implications of intrahousehold bias: A review of literature. In: FCND Discussion Paper No 19. Washington, D.C.: International Food Policy Research Institute (IFPRI); 1996.Google Scholar
- Wheeler EF. Intra-household food and nutrient allocation. Nutr Res Rev. 1991;4:69–81.View ArticlePubMedGoogle Scholar
- Sudo N, Sekiyama M, Maharjan M, Ohtsuka R. Gender differences in dietary intake among adults of Hindu communities in lowland Nepal: assessment of portion sizes and food consumption frequencies. Eur J Clin Nutr. 2006;60:469–77.View ArticlePubMedGoogle Scholar
- DeRose LF, Das M, Millman SR. Does female disadvantage mean lower access to food? Popul Dev Rev. 2000;26:517–47.View ArticleGoogle Scholar
- Pinstrup-Andersen P. Estimating the nutritional impact of food policies: a note on the analytical approach. Food Nutr Bull. 1983;5:16–21.Google Scholar
- Behrman JR. Chapter 3. Peeking into the Black Box of Economic Models of the Household. In: Rogers BL, Schlossman NP, editors. Intra-Household Resource Allocation: Issues and Methods for Development Policy and Planning. Tokyo: United Nations University Press; 1990. p. 44–50.Google Scholar
- Reeves BC, Deeks JJ, Higgins JP. Chapter 13. Including non-randomized studies. In: Higgins JP, Green S, editors. Cochrane handbook for systematic reviews of interventions, vol. 1. Chichester: Wiley; 2008. p. 389–432.View ArticleGoogle Scholar
- Petticrew M, Roberts H. Systematic reviews in the social sciences: A practical guide. Cornwall: Blackwell Publishing; 2008.Google Scholar
- Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151:264–9.View ArticlePubMedGoogle Scholar
- Sen A. Well-being, agency and freedom: the Dewey lectures 1984. J Philos. 1985;82:169–221.Google Scholar
- Sen A. Development as freedom. Oxford, New York: Oxford University Press; 1999.Google Scholar
- Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. 1998;52:377–84.View ArticlePubMedPubMed CentralGoogle Scholar
- CASP Qualitative Checklist: CASP Checklists (URL: http://docs.wixstatic.com/ugd/dded87_25658615020e427da194a325e7773d42.pdf; Accessed 01 Dec 2015). In Critical Appraisal Skills Programme (CASP). Oxford: CASP; 2014.
- Doss CR. Testing among models of intrahousehold resource allocation. World Dev. 1996;24:1597–609.View ArticleGoogle Scholar
- Haddad L, Kanbur R. How serious is the neglect of intra-household inequality? Econ J. 1990;100:866–81.View ArticleGoogle Scholar
- Kumar S. A framework for tracing policy effects on intra-household food distribution. Food Nutr Bull. 1983;5:13–6.Google Scholar
- Harriss-White B. Chaper 10. The Intrafamily Distribution of Hunger in South Asia. In: Dreze J, Sen A, editors. The Political Economy of Hunger: Volume 1: Entitlement and Well-being. Oxford: Clarendon; 1991.Google Scholar
- Hartog AP. Unequal distribution of food within the household (a somewhat neglected aspect of food behavior). Nutrition Newsletter. 1972;10:8–17.Google Scholar
- Van Esterik P. Intra-family food distribution: its relevance for maternal and child nutrition. In: Latham M, editor. Determinants of young child feeding and their implications for nutritional surveillance; Cornell International Nutrition Monograph Series No 14). New York: Cornell University; 1985. p. 73–149.Google Scholar
- Rathnayake I, Weerahewa J. An assessment of intra-household allocation of food: a case study of the urban poor in Kandy. Sri Lankan J Agric Econ. 2002;4:95–105.Google Scholar
- Cantor SM, Associates: Tamil Nadu Nutrition Study, 8 volumes. Haverford, Pennsylvania, USA.; 1973.Google Scholar
- Pitt MM, Rosenzweig MR, Hassan MNH. Productivity, Health and Inequality in the Intrahousehold Distribution of Food in Low-Income Countries. Am Econ Rev. 1990;80:1139–56.Google Scholar
- Khan M, Anker R, Ghosh Dastidar S, Bairathi S: Inequalities between men and women in nutrition and family welfare services: an in-depth enquiry in an Indian village. Population and Labour Policies Programme, Working Paper No 158, World Employment Programme Research, UNFPA Project No INT/83/P34, Geneva 1987.Google Scholar
- Palriwala R. Economics and Partiliny: Consumption and Authority within the Household. Soc Sci. 1993;21:47–73.Google Scholar
- Naved RT. Intrahousehold impact of the transfer of modern agricultural technology: A gender perspective. Washington, D.C: International Food Policy Research Institute (IFPRI); 2000.Google Scholar
- Abdullah M. Dimensions of intra-household food and nutrient allocation: a study of a Bangladeshi village. PhD Thesis. London School of Hygiene and Tropical Medicine (University of London), 1983.Google Scholar
- Aurino E. Do boys eat better than girls in India? Longitudinal evidence on dietary diversity and food consumption disparities among children and adolescents. Econ Human Biol 2016; 25:99-111.Google Scholar
- Government of Pakistan: Micro-nutrient survey of Pakistan (1976-1977). vol. Volume II. Islamabad, Pakistan: Planning and Development Division; 1979.Google Scholar
- Katona-Apte J. The socio-cultural aspects of food avoidance in a low-income population in Tamilnad, South India. J Trop Pediatr. 1977;23:83–90.Google Scholar
- Madjdian DS, Bras HAJ. Family, Gender, and Women’s Nutritional Status: A Comparison Between Two Himalayan Communities in Nepal. Econ History Developing Regions. 2016;31:198–223.View ArticleGoogle Scholar
- Gittelsohn J, Thapa M, Landman LT. Cultural factors, caloric intake and micronutrient sufficiency in rural Nepali households. Soc Sci Med. 1997;44:1739–49.View ArticlePubMedGoogle Scholar
- Gittelsohn J, Mookherji S, Pelto G. Operationalizing household food security in rural Nepal. Food Nutr Bull. 1998;19:210–22.View ArticleGoogle Scholar
- Den Hartog: Food habits and consumption in developing countries. Manual for field studies.. Wageningen Academic, Wageningen; 2006.Google Scholar
- Kabeer N. Subordination and struggle: Women in Bangladesh. New Left Rev. 1988;168:95–121.Google Scholar
- Barker M, Chorghade G, Crozier S, Leary S, Fall C. Gender differences in body mass index in rural India are determined by socio-economic factors and lifestyle. J Nutr. 2006;136:3062–8.PubMedPubMed CentralGoogle Scholar
- Pelto G: Intrahousehold Food Distribution Patterns. In Malnutrition, Determinants and Consequences: Proceedings of the Western Hemisphere Nutrition Congress VII held in Miami Beach, Florida, August 7-11, 1983 (White P ed. pp. 285 - 293. New York: Liss, A. R. Inc.; 1984:285 - 293.Google Scholar
- Coffey D, Khera R, Spears D. Intergenerational effects of women’s status: Evidence from joint Indian families. 2015.Google Scholar
- Messer E. Intra-household allocation of food and health care: Current findings and understandings—introduction. Soc Sci Med. 1997;44:1675–84.View ArticlePubMedGoogle Scholar
- Das Gupta M. Life course perspectives on women's autonomy and health outcomes. Health Transition Review 1996;6:213-231.Google Scholar
- Rizvi N. Life cycle, food behaviour and nutrition of women in Bangladesh. In: Huq J, editor. Women in Bangladesh: Some socioeconomic issues. Dhaka: Women for Women conference; 1981. p. 70–9.Google Scholar
- Caldwell JC, Reddy P, Caldwell P. The social component of mortality decline: an investigation in South India employing alternative methodologies. Popul Stud. 1983;37:185–205.View ArticleGoogle Scholar
- De Schutter O. Gender equality and food security: Women’s empowerment as a tool against hunger. 2013.Google Scholar
- Carloni A. Sex disparities in the distribution of food within rural households. Food Nutrition. 1981;7:3–13.PubMedGoogle Scholar
- Haddad L. Women’s Status: Levels, Determinants, Consequences for Malnutrition, Interventions, and Policy. Asian Development Review. 1999;17:96–131.Google Scholar
- Ramachandran N: Chapter 9. Women and Food Security in South Asia: Current Issues and Emerging Concerns. In; 2007: 219-240Google Scholar
- Agarwal B. ”Bargaining” and Gender Relations: Within and Beyond the Household. Fem Econ. 1997;3:1–51.View ArticleGoogle Scholar
- Hamburg ME, Finkenauer C, Schuengel C. Food for love: the role of food offering in empathic emotion regulation. Front Psychol. 2014;5:1–9.View ArticleGoogle Scholar
- Miller BD. The endangered sex: neglect of female children in rural North India. Ithaca, New York: Cornell University Press; 1981.Google Scholar
- Daivadanam M, Wahlström R, Ravindran T, Thankappan K, Ramanathan M. Conceptual model for dietary behaviour change at household level: a ‘best-fit’ qualitative study using primary dat. BMC Public Health. 2014;14:574.View ArticlePubMedPubMed CentralGoogle Scholar
- Gunewardena: Chapter 28. Gender Dimensions of Food and Nutrition Security: Women’s Roles in Ensuring the Success of Food-based Approaches,. Improving Diets and Nutrition: Food-based approaches, Thompson, B and Amoroso, L (eds), Food and Agriculture Organisation 2014:328 - 334.Google Scholar
- Kumar S, Bhattarai S: Effects of infrastructure development on intrahousehold caloric adequacy in Bangladesh. In Understanding how resources are allocated within households. pp. 21-22. IFPRI-World Bank, IFPRI Policy Briefs 8.; 1993:21-22.Google Scholar
- Babu SC, Thirumaran S, Mohanam T. Agricultural productivity, seasonality and gender bias in rural nutrition: Empirical evidence from South India. Soc Sci Med. 1993;37:1313–9.View ArticlePubMedGoogle Scholar
- Behrman JR, Deolalikar AB. The intrahousehold demand for nutrients in rural south India: Individual estimates, fixed effects, and permanent income. J Hum Resour 1990;25:665-96.Google Scholar
- Panter-Brick C, Eggerman M. Household responses to food shortages in western Nepal. Hum Organ. 1997;56:190–8.View ArticleGoogle Scholar
- Abdullah M, Wheeler EF. Seasonal variations, and the intra-household distribution of food in a Bangladeshi village. Am J Clin Nutr. 1985;41:1305–13.PubMedGoogle Scholar
- Brahmam G, Sastry JG, Rao NP. Intra family distribution of dietary energy‐an Indian experience. Ecol Food Nutr. 1988;22:125–30.View ArticleGoogle Scholar
- Basu A, Roy SK, Mukhopadhyay B, Bharati P, Gupta R, Majumder PP: Sex bias in intrahousehold food distribution: roles of ethnicity and socioeconomic characteristics. Current Anthropol. 1986;27:536-39.Google Scholar
- Rizvi N. Effects of policy on intra-household food distribution in Bangladesh. Food Nutr Bull. 1983;5:30–4.Google Scholar
- Bouis HE, Novenario-Reese MJG. The determinants of demand for micronutrients, FCND Discussion Paper No. 32. In: FCND Discussion Papers. Washington, DC: International Food Policy Research Institute (IFPRI); 1997.Google Scholar
- Chaudry R. Determinants of intra-familial distribution of food and nutrient intake in rural Bangladesh. Dhaka, Bangladesh: Draft Bangladesh Institute of Development Economics; 1983.Google Scholar
- Rohner R, Chaki-Sircar M. Mothers and children in a Bengali village. Hanover, USA: University Press of New England; 1988.Google Scholar
- Tetens I, Hels O, Khan NI, Thilsted SH, Hassan N. Rice-based diets in rural Bangladesh: how do different age and sex groups adapt to seasonal changes in energy intake? Am J Clin Nutr. 2003;78:406–13.PubMedGoogle Scholar
- Chakrabarty M. Gender difference in cereal intake: possible impacts of social group affiliation and season. Anthropol Anz. 1996;54:355–60.PubMedGoogle Scholar
- Nichols CE. Time Ni Hota Hai: time poverty and food security in the Kumaon hills, India. Gender Place Culture. 2016;23:1404–19.View ArticleGoogle Scholar
- Mukherjee N: Participatory learning and action: With 100 field methods. Concept Publishing Company, New Delhi; 2002.Google Scholar
- Webb P, West Jr KP, O’Hara C. Stunting in earthquake-affected districts in Nepal. Lancet. 2015;386:430–1.View ArticlePubMedGoogle Scholar
- Senauer B, Garcia M, Jacinto E. Determinants of the intrahousehold allocation of food in the rural Philippines. Am J Agric Econ. 1988;70:170–80.View ArticleGoogle Scholar
- Luo W, Zhai F, Jin S, Ge K. Intrahousehold food distribution: a case study of eight provinces in China. Asia Pac J Clin Nutr. 2001;10:S19–28.View ArticlePubMedGoogle Scholar
- DHS: Nepal Demographic and Health Survey Key Indicators Report. (Ministry of Health KNE, Kathmandu; The DHS Program, ICF, Maryland. ed. Ministry of Health, Nepal; 2017.Google Scholar
- Rigg J. Land, farming, livelihoods, and poverty: rethinking the links in the rural South. World Dev. 2006;34:180–202.View ArticleGoogle Scholar
- Bhutta ZA, Das JK, Rizvi A, Gaffey MF, Walker N, Horton S, Webb P, Lartey A, Black RE, Group TLNIR. Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost? Lancet. 2013;382:452–77.View ArticlePubMedGoogle Scholar
- Gentilini U. Cash and food transfers: A primer. Occasional Papers No. 18. World Food Programme: Rome; 2007.Google Scholar
- Ahmed AU, Quisumbing AR, Hoddinott JF, Nasreen M, Bryan E. Relative efficacy of food and cash transfers in improving food security and livelihoods of the ultra-poor in Bangladesh. Washington, D.C: International Food Policy Research Institute (IFPRI); 2007.Google Scholar