Table 2

Linear regression models predicting baseline cognitive function score, HAALSI, Agincourt subdistrict, Mpumalanga, South Africa, 2014–19, N=3771

ModelAdjustmentsChange in baseline cognitive score per one-rung increase on the SSP ladder
β95% CI
1Age, age2, sex, country of birth0.3000.244 to 0.356
2Model 1+ socioeconomic and social factors*0.2100.156 to 0.264
3Model 2+ health-related factors†0.1980.144 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.