Table 3.
Multiple linear regression analyses to examine predictors of dementia incidence.
| Variable | All ages | 15–49 years old | |||
|---|---|---|---|---|---|
| Beta | Sig | Beta | Sig | ||
| Enter | |||||
| Is | -0.620 | < 0.001 | -0.610 | < 0.001 | |
| Ageing | 0.257 | < 0.001 | 0.101 | 0.150 | |
| GDP | -0.010 | 0.921 | 0.213 | < 0.05 | |
| Urbanization | 0.008 | 0.891 | -0.037 | 0.504 | |
| Stepwise rank | All ages | Rank | 15–49 years old | ||
|---|---|---|---|---|---|
| Variable | Adjusted R2 | Variable | Adjusted R2 | ||
| 1 | Is | 0.685 | 1 | Is | 0.730 |
| 2 | Ageing | 0.704 | 2 | GDP PPP | 0.738 |
Significance level: p < 0.05, p < 0.01, p < 0.001.
Data sources: Dementia Incidence expressed as the number of new onsets of Alzheimer's disease and other dementias published by the Institute for Health Metrics and Evaluation (IHME) in 2020; Is measuring the magnitude of the opportunity for natural selection, extracted from the previous publication by You et al. https://doi.org/10.1111/eva.12523; Ageing expressed with life expectancy at 65 years old (2010–2015) published by the United Nations; GDP PPP expressed in purchasing power parity in 2015 US dollars published by the World Bank; Urbanization expressed in percent of population living in urban areas in 2015 published by the World Bank.