Linear regression models predicting follow-up cognitive function score, HAALSI, Agincourt subdistrict, Mpumalanga, South Africa, 2014–2019, N=3771
| Model | Adjustments | Change in follow-up cognitive score per one-rung increase on the SSP ladder | |
| β | 95% CI | ||
| 1 | Age, age2, sex, country of birth | 0.168 | 0.110 to 0.226 |
| 2 | Model 1+ socioeconomic and social factors* | 0.081 | 0.024 to 0.138 |
| 3 | Model 2+ health-related factors† | 0.078 | 0.021 to 0.136 |
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.