The association of depression, anxiety and stress with body composition among adults in Klang Valley / Suhada Al-Ilmi Aliyaa Abd Jalil

Depression, anxiety and stress were three different symptoms that may gave a problem to the individuals. The objective of this study is to determine the association of depression, anxiety and stress with body composition among adults in Klang Valley. The method of this study was cross-sectional stud...

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Bibliographic Details
Main Author: Abd Jalil, Suhada Al-Ilmi Aliyaa
Format: Thesis
Language:English
Published: 2016
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Online Access:https://ir.uitm.edu.my/id/eprint/69497/1/69497.pdf
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Summary:Depression, anxiety and stress were three different symptoms that may gave a problem to the individuals. The objective of this study is to determine the association of depression, anxiety and stress with body composition among adults in Klang Valley. The method of this study was cross-sectional study with 115 number of adults participate in this study. Self-directed questionnaire was gives such as demographic questionnaire, depression, anxiety, stress scale (DASS) 21 questionnaire, international physical activity questionnaire (IPAQ) short version to the subject. Assessment of anthropometric data which is body composition such as height, weight, BMI, body fat percentage, triceps skinfold thickness, waist circumference, hip circumference and waist hip ratio was measured on the subject and cut of points proposed by World Health Organisation (1998) was used to classify each subject. The association between this variables was completed by using Pearson Chi-Square correlation analysis. The level of people with mild, moderate, severe and extremely severe for depression were 21.7%, anxiety were 40.9% and stress 20.0%. In the Pearson Chi-Square no correlation was found between depression and anxiety with BMI. Besides that, only stress (p = 0.035, r =-0.197) has correlation with body fat percentage. In summarized, it seem that only stress was strongly associated with body composition which is body fat percentage. Thus, health practitioner should aware about stress effect to the patient.