Assessment of Suboptimal Health Status among Young Adults and Its Association with Their Demographic Factors

Abstract

Objective: To assess the suboptimal health status among young adults and its association with their demographic factors visiting institute of dentistry CMH, Lahore Design of the Study: It was a cross-sectional study. Study Settings: This study was carried out at Outpatient Department of Dentistry Combined Military Hospital, Lahore from August 2020 to January 2021. Material and Methods: A cross-sectional study was carried out with sample of 384 young adults visiting institute of dentistry CMH, Lahore. Suboptimal health status was using the “Suboptimal Health Mesurement Scale” ver-1.0. Information of demographics and information related to affecting to lifestyle behaviors were evaluated with a questionnaire. The associations between demographic information, lifestyle behaviors were checked by applying a Pearson coefficient Chi-square test. Results of the Study: A total of 384 participants were included in this study. The mean age of the participants was a 27.79±5.23 year with 53.2 % being women. Age group 19-28 years had high sub-optimal health 51.7% (199), while participants falling in age category 29-39 years had low sub-optimal health 48.3% (186). There was a strong association between the two independent variables. Pearson chi square (1) = 4.152, p value 0.0. Conclusion: It was found that suboptimal health status was significantly associated with demographics of young adults, environmental factors and life style behaviors in both males and females. Keywords: Suboptimal health status, demographic factors, demographic factors scale, young adults

A Study on Influencing Factors of Physicians’ Suboptimal Health Status in Primary Healthcare Institutions

“…[5][6][7][8][9] Internationally, studies have been conducted on the SHS of pregnant women, young people and university students. [10][11][12] In all the mentioned studies, the SHMSV1.0 scale is the most commonly used instrument to measure SHS and the influencing factors are various for the different characteristics of different occupations, however, variables like exercising frequency, diet condition and eating condition are frequently mentioned in studies. Besides, studies have also shown that subhealth is significantly associated with the shortening of chromosomal telomeres, which can be used as a predictor of physiological aging.…”