Table 4 Results of ordinary least squares, spatial lag, and spatial error regression models showing factors associated with anaemia among rural men, India, NFHS-5, 2019-21
From: A district-level geospatial analysis of anaemia prevalence among rural men in India, 2019-21
OLS Model | SLM | SEM | |
|---|---|---|---|
Independent variables | Coefficient (p-value) | Coefficient (p-value) | Coefficient (p-value) |
Older men (%) | 0.204 (0.064) | 0.256 (0.008) | 0.250 (0.017) |
No education (%) | 0.235 (0.000) | 0.192 (0.000) | 0.254 (0.000) |
ST men (%) | 0.024 (0.147) | 0.016 (0.286) | 0.010 (0.631) |
Muslim men (%) | 0.151 (0.000) | 0.096 (0.000) | 0.075 (0.014) |
Poorest households (%) | 0.150 (0.000) | 0.072 (0.008) | 0.109 (0.002) |
Underweight (%) | 0.042 (0.519) | 0.001 (0.988) | 0.003 (0.959) |
Alcohol (%) | 0.081 (0.000) | 0.069 (0.001) | 0.100 (0.000) |
Smoking (%) | 0.063 (0.038) | 0.046 (0.089) | 0.083 (0.011) |
N | 708 | 708 | 708 |
Lag coefficient (Ρ) | 0.488 (0.000) | ||
Lag coefficient (λ) | 0.530 (0.000) | ||
AIC | 5387.57 | 5258.39 | 5263.81 |
R- squared | 0.293 | 0.442 | 0.442 |