Association between body mass index and self-rated health: A Swedish population-based longitudinal study.

Autor: Hellgren, Margareta I., Kitsche, Emelie, Groot-Zevert, Marieke, Lindblad, Ulf, Daka, Bledar
Předmět:
Zdroj: Scandinavian Journal of Public Health; Jun2021, Vol. 49 Issue 4, p369-376, 8p
Abstrakt: Aims: We aimed to investigate (a) the association between body mass index (BMI) and self-rated health (SRH) and (b) BMI's predicted value for SRH within a representative population in the Skaraborg Project. Methods: This was a longitudinal observational study. A random population of 2816 individuals were included in the study between 2002 and 2005, and a representative sample of these individuals were invited consecutively for a follow-up visit between 2012 and 2014. At follow-up, data from 1327 participants were collected concerning anthropometric variables, blood samples and validated questionnaires regarding lifestyle factors. Results: A significant inverse association was observed between BMI and SRH both at baseline and at follow-up, with all p -values for trend being ⩽0.001 in both men and women. This association was observed even after adjusting for confounders such as co-morbidity, age, sex, education, marital status and lifestyle factors. In addition, the longitudinal analyses showed that BMI at baseline was inversely associated with SRH at follow-up in both sexes (odds ratio (OR)=1.1, confidence interval (CI) 1.02–1.16, p =0.017 in men; and OR=1.1, CI 1.04–1.14, p =0.001 in women). These findings remained in participants whose weight increased (p =0.022) or was stable (p =0.004), while it was not seen in individuals who lost weight over the years (p =0.340). Conclusions: SRH is inversely associated with BMI in Swedish men and women. High BMI predicted low SRH from a longitudinal perspective, independent of co-morbidities, except for individuals who lost weight over the years. This knowledge emphasises the importance of an understanding and empathetic attitude towards these individuals. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index