Abstract:Background: Immigrants are considered globally to be a vulnerable subpopulation. Vulnerable population groups have a higher prevalence of obesity than the general population. Despite increased immigration of people from Somalia to Sweden in recent years, little research has been undertaken about obesity and obesity-related health risks among Somali immigrants. The present study aimed to investigate the prevalence of overweight and obesity, as well as possible relationships between weight status and socio-demographic characteristics, dietary habits and physical activity (PA) among Somali immigrants in Sweden. Methods: This quantitative cross-sectional study included 114 respondents. Data were collected by means of a questionnaire covering socio-demographic factors, PA and dietary habits. Weight and height were also measured. Results: Of the 114 respondents, 50.9% had a body mass index (BMI) of 25 or above. In bivariate analysis, there were no statistically significant differences between those with a BMI below 25 and those with a BMI of 25 or more regarding PA or dietary habits. Multiple logistic regression analysis showed that female gender and being married were associated with having a BMI of 25 or above. Conclusion: Socio-demographic factors may be more strongly associated with high BMI than PA or dietary habits among the targeted group and should be taken into account as an issue affecting Somali immigrants in Sweden that warrants further research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.