Abstract
Self-rated health (SRH) is an essential global measure of general health and quality of life, and a predictor of the mortality and morbidity of populations. We assessed the SRH and identified associated factors among women in Riyadh, the capital of Saudi Arabia, using a cross-sectional survey conducted on a sample of women aged 18 years and older. Univariate and multivariate logistic regression analyses were conducted to identify factors that are significantly associated with SRH. Overall, 36.6% (n = 329) of participating women reported poor SRH. Higher body mass index (BMI), physical inactivity, greater number of morbidities, and reporting ill-being/likely depression were significantly associated with poor SRH. The findings from this study suggest that health status, lifestyle factors, and psychosocial conditions are associated with SRH in this population. Focusing on these factors suggests a turning point for public health policies and interventions to improve the health and quality of life of this group of women.
Highlights
According to the World Health Organization (WHO), health is more than the absence of disease or infirmity; it is “a complete state of physical, mental, and social well-being” [1]
An association was found between Self-rated health (SRH) and body mass index (BMI), physical activity, number of morbidities, and general psychosocial health adjusting for all other factors
Unadjusted binary logistic regression analysis reflected the influence of the physical environment on SRH as an additional significant factor among this group of women
Summary
According to the World Health Organization (WHO), health is more than the absence of disease or infirmity; it is “a complete state of physical, mental, and social well-being” [1]. Self-rated health (SRH) is a means by which measurements of health are achieved. SRH has been used in clinical studies as a screening tool for general health assessment and as a predictor of morbidity, mortality, and quality of life [1,3,4,5]. SRH has been used in population-based studies due to its ability to predict future health and healthcare services utilization [6,7,8]. Socioeconomic, morbidity- related, lifestyle and psychosocial factors constitute the determinants of SRH in different populations [9,10,11]. Identifying SRH determinants in diverse populations (different countries, regions, genders, ethnic groups, or age groups) has many public health advantages. Disentangling SRH into its major components enables the public health practitioner to
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