| Abstrakt: |
Background: The twelve potentially modifiable risk factors(RF) for dementia are estimated to account for 40% of dementia cases worldwide based on data from high‐income countries. However, population attributable fraction (PAF) distribution and impact may be affected by the socioeconomic context. We aimed: a) to calculate PAFsin Argentina (a low‐income country) using census data, b) to compare differences between sex and socioeconomic strata, and c) their evolution across a ten‐year period. Method: We collected cross‐sectional data from three Argentinian census between 2009 and 2018 to estimate risk factor prevalences. We calculated PAFs for each risk factor using relative risk estimates from previous meta‐analyses. Next, we adjusted PAF for communality between risk factors, and used these values to calculate overall weighted PAFs. Finally, we analyzed the differences in PAFs for sex and socioeconomic strata defined as income quintiles and compared the overall PAFs between years. Result: We could identify 8 of the 12 RF in census data; the rest were estimated using other sources. We estimated an overall weighted PAF of 39.9% 95%CI [38.29%‐39.89%] (Table 1). We found no significant differences between the overall PAF of women and men (p = 0.12) (Figure 2). However, women presented more social isolation (4.9% CI95%[4.2%,5.7%]) than men (2.2% CI95%[2.1%,4.1%]), and greater smoking PAF (p =.027). Significant differences were found in the overall PAF of the two lower economic strata (Q1 37.4% CI95% [35.3%,39.5%]; Q2 40.3% CI95% [38.6%,42.1%]) compared with the upper stratum (Q5 29.8% CI95% [28.2%,31.5%]) (Figure 3). There were no significant changes in weight PAF over the course of 10 years. However, while some factors, such as education, improved, alcohol use and social isolation worsened. Conclusion: We found a higher prevalence of risk factors, even though not all of them could be assessed. Also, the distribution of risk factors varied according to sex and socioeconomic level, suggesting that public policies should consider working on the most important RF. [ABSTRACT FROM AUTHOR] |
