Clustering of unhealthy lifestyle behaviors, self-rated health and disability

Abstract

The main objective was to identify sociodemographic characteristics of the population at risk for a greater clustering of unhealthy behaviors and to evaluate the association of such clustering with self-rated health status and disability. Data come from the 2017 Spanish National Health Survey with a sample of 21,947 participants of 15 years of age or older. Based on tobacco consumption, risk drinking, unbalanced diet, sedentarism, and body mass index <18.5/≥25 we created two indicators of risk factor clustering: 1) Number of unhealthy behaviors (0-5); and 2) Unhealthy lifestyle index (score: 0-15). Self-rated health was dichotomized into "optimal" and "suboptimal," and disability was classified as "no disability," "mild," and "severe" based on the Global Activity Limitation Index (GALI). We estimated prevalence ratios (PR) adjusted for covariates using generalized linear models using the clustering count variable, and dose-response curves using the unhealthy lifestyle index. Most participants (77.4%) reported 2 or more risk factors, with men, middle-age individuals, and those with low socioeconomic status being more likely to do so. Compared to those with 0-1 risk factors, the PR for suboptimal health was 1.26 (95% CI:1.18-1.34) for those reporting 2-3 factors, reaching 1.43 (95% CI:1.31-1.55) for 4-5 factors. The PR for severe activity limitation was 1.66 (95% CI:1.35-2.03) for those reporting 2-3 factors and 2.06 (95% CI:1.59-2.67) for 4-5 factors. The prevalence of both health indicators increased in a non-linear fashion as the unhealthy lifestyle index score increased, increasing rapidly up to 5 points, slowing down between 5 and 10 points, and plateauing afterwards.