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Table 1 Quantitative studies: Geographical and methodological characteristics of selected articles (n=16)

From: Determinants of intra-household food allocation between adults in South Asia – a systematic review

Author

Year

Study method

Sample size

Sample characteristics

Analysis method

Determinant

IHFA outcome

Bangladesh (n = 5)

 Abdullah and Wheeler [65]

1985

Longitudinal 4x 3 day WFR

53 HH

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 [69]

1997

Longitudinal 2x 1 day WFR

590 HH

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 [61]

1993

Longitudinal 3x 1 day WFR

300 HH

Households from 8 villages in 4 districts.

Men and women aged >18 years

Multivariate analysis

(more detail not given; results described but effect size not reported)

Household caloric adequacy

Calorie ‘adequacy’ (Intakes / Requirements)

 Pitt, Rosenzweig and Hassan [32]

1990

Longitudinal

1x 1 day WFR in 335 HH; 4x 1 day WFR in 50 HH

385 HH

Bengali households from 15 villages (excludes hill tribes).

Men and women aged ≥12 years.

Linear regression coefficient

Health endowments

Calorie intake

 Tetens et al. [72]

2003

Longitudinal 2x 1 day WFR

304 HH

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)

• Village

• Socio-economic status

Calorie intake

India (n = 8)

 Aurino [37]

2016

Longitudinal

2x 1 day survey (older cohort only)

976 HH

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 [62]

1993

Longitudinal 6x 3 day WFR

120 HH

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)

Descriptive comparisons

• Season

• 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. [45]

2006

Cross-sectional 1x 1 day survey

101 HH

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. [67]

1986

Cross-sectional 1x 1 day 24h

219 HH

Households from West Bengal, with men and women aged > 18 years.

Analysis of variance

• Rural vs urban

• Occupation (agriculturalist vs plantation worker)

• Religion

• Ethnicity

• Microeconomic subgroups

EI-ER (Energy intake - Energy requirements), and age-sex groups ranked in order of EI-ER

 Behrman and Deolalikar [63]

1990

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 [66]

1988

Cross-sectional

1x 1 day 24h

1878 HH

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)

 Chakrabarty [73]

1996

Longitudinal 2x 2 day 24h

221 HH

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).

t-test

Availability of food (lean vs peak season)

Cereal intake – Recommended cereal intakes for a balanced diet

 Harriss-White [27]

1991

Longitudinal 4x 1 day 24h

176 HH

Six villages in central and southern India.

Men and women (age not specified)

t-test

• Season

• Region

• Land holding vs landless

RI = Relative calorie intakes (Individual intakes / Adult male intakes)

Nepal (n = 1)

 Gittelsohn [9]

1991

Cross-sectional 1x 1 day 24h & observation

115 HH

Six villages in Western hills. Men and women aged 18-24, 25-49, and ≥50

Correlation

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 [38]

1979

Cross-sectional

1x 24h

975 HH

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)

• Education

• Region

• Household size

• Income

Individual intake / Household intake (calories, protein, iron and vitamin A)

Sri Lanka (n = 1)

 Rathnayake and Weerahewa [30]

2002

Cross-sectional

1x 24h

60 HH

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

• Ethnicity

• Family size

RCA = Relative calorie allocation (calorie intake as a proportion of recommended allowance / Household intake as a proportion of household allowance)

  1. WFR Weighed food records, 24h 24-hour dietary recall, HH Households