Table 2.
Multiple logistic regression results showing significant association between bad PCS and the exposure variables for each oldest-old population.
| Bad PCS | ||
|---|---|---|
| SABE-PB (Brejo dos Santos) | ||
| Variables | PR | 95% CI |
| Gender | ||
| Female | 1.68 | 1.02-2.78 |
| Male | 1 | — |
| Age group | ||
| 80–89 years | 1 | — |
| 90 years and over | 1.79 | 1.20-2.67 |
| Sleep self-assessment | ||
| Good | 1 | — |
| Average | 1.91 | 1.34-2.71 |
| Bad | 1.43 | 0.85-2.39 |
| Fall occurrence in the last 12 months | ||
| Yes | 1.59 | 1.07-2.37 |
| No | 1 | — |
| SABE-SP (São Paulo) | ||
| Variables | PR | 95% CI |
| Cognitive state | ||
| Adequate | 1 | — |
| Suggestive of cognitive impairment | 1.76 | 1.24-2.48 |
| Auto evaluation of vision | ||
| Good | 1 | — |
| Average | 1.25 | 0.86-1.83 |
| Bad | 1.55 | 1.06-2.26 |
Note. Data was collected in Brejo dos Santos, in the state of Paraíba, Brazil (SABE-PB) and in São Paulo, capital (SABE-SP) in 2017 and 2016, respectively. PCS = Physical Component Summary; SABE (Saúde, Bem-Estar e Envelhecimento) - Health, Well-being, and Aging project; 95% CI = 95% confidence interval; PR = Prevalence rate.