Linear regression models predicting baseline cognitive function score, HAALSI, Agincourt subdistrict, Mpumalanga, South Africa, 2014–19, N=3771
| Model | Adjustments | Change in baseline cognitive score per one-rung increase on the SSP ladder | |
| β | 95% CI | ||
| 1 | Age, age2, sex, country of birth | 0.300 | 0.244 to 0.356 |
| 2 | Model 1+ socioeconomic and social factors* | 0.210 | 0.156 to 0.264 |
| 3 | Model 2+ health-related factors† | 0.198 | 0.144 to 0.253 |
All models incorporate IPWs for mortality and attrition.
*Adjusted for model 1 covariates, plus socioeconomic and social factors (father’s main job during childhood, education, literacy, marital status, employment status, household asset quintile).
†Adjusted for model 1 and 2 covariates, plus health-related factors (self-rated health today compared with 1 year ago, alcohol intake frequency, number of depressive symptoms, diabetes, hypertension).
HAALSI, Health and Ageing in Africa: A Longitudinal Study of an INDEPTH Community in South Africa; IPW, inverse probability weights; SSP, subjective social position.