{"id":{"repo_id":"venda","oai_identifier":"oai:univendspace.univen.ac.za:11602/1131"},"canonical_url":"https://search.dev.ndltd.org/etd/venda/oai:univendspace.univen.ac.za:11602/1131","repository":{"repo_id":"venda","name":"University of Venda","base_url":"https://univendspace.univen.ac.za/server/oai/request"},"display":{"title":"Relationship between sedentary lifestyle patterns and obesity among adults in Ha-Tshikundamalema Area of Limpopo Province, South Africa","abstract":"Sedentary lifestyle may contribute to obesity and non-communicable diseases, which are the major public health problem in South Africa. This study investigated the relationship between sedentary lifestyle and obesity among adults in Ha-Tshikundamalema area. A quantitative descriptive cross-sectional study among 298 participants (116 males and 182 females) aged 20-60 years, sampled systematically was conducted. Socio-demographic and, sedentary lifestyle and physical activity information was collected using a questionnaire, while anthropometric indices were measured according to ISAK protocol. Data were analysed using SPSS, version 24.0; where Pearson correlation and linear regression analyses to determine significant predictors of obesity were performed. The prevalence of TV viewing and low participation in moderate-vigorous activity were 75.8%, 69.1% and 82.6%, respectively. Twenty-nine point nine percent and 27.2% were overweight and obese, while 26.8% had very high WC (central obesity). According to Pearson correlation, TV viewing time, food, household activity, walking days and time, vigorous activity work vigorous activity, female gender, age (30-39), being married, unemployment, smoking and alcohol consumption were significantly related to BMI and WC. No significant association was found between most of the sedentary behaviours, level of education and socio-economic status. However, obesity was more prevalent among those with less education and low socio-economic status. In regression analyses, only TV viewing time, work vigorous activity, gender, being married and smoking were the independent and significant predictors of high BMI and WC (obesity) (P< 0.05). There was an association of sedentary lifestyle and socio-demographic characteristics, and obesity. Intervention to prevent sedentary lifestyle and obesity should target females, particularly married, unemployed and those with less level of education.","abstract_html":"Sedentary lifestyle may contribute to obesity and non-communicable diseases, which are the major public health problem in South Africa. This study investigated the relationship between sedentary lifestyle and obesity among adults in Ha-Tshikundamalema area. A quantitative descriptive cross-sectional study among 298 participants (116 males and 182 females) aged 20-60 years, sampled systematically was conducted. Socio-demographic and, sedentary lifestyle and physical activity information was collected using a questionnaire, while anthropometric indices were measured according to ISAK protocol. Data were analysed using SPSS, version 24.0; where Pearson correlation and linear regression analyses to determine significant predictors of obesity were performed. The prevalence of TV viewing and low participation in moderate-vigorous activity were 75.8%, 69.1% and 82.6%, respectively. Twenty-nine point nine percent and 27.2% were overweight and obese, while 26.8% had very high WC (central obesity). According to Pearson correlation, TV viewing time, food, household activity, walking days and time, vigorous activity work vigorous activity, female gender, age (30-39), being married, unemployment, smoking and alcohol consumption were significantly related to BMI and WC. No significant association was found between most of the sedentary behaviours, level of education and socio-economic status. However, obesity was more prevalent among those with less education and low socio-economic status. In regression analyses, only TV viewing time, work vigorous activity, gender, being married and smoking were the independent and significant predictors of high BMI and WC (obesity) (P&lt; 0.05). There was an association of sedentary lifestyle and socio-demographic characteristics, and obesity. Intervention to prevent sedentary lifestyle and obesity should target females, particularly married, unemployed and those with less level of education.","abstract_has_math":false,"creators":["Ntsieni, Vhonani Margareth"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Tshitangano, T. G.","Mohlala, M."],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-05-18","date_published":"2018-05-18","updated_at":"2026-07-27T21:57:48Z","subjects":["Adult","Obesity","Sedentary","Lifestyle"],"languages":["en"],"rights":["University of Venda"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11602/1131","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Tshitangano, T. 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This study investigated the relationship between sedentary lifestyle and obesity among adults in Ha-Tshikundamalema area. A quantitative descriptive cross-sectional study among 298 participants (116 males and 182 females) aged 20-60 years, sampled systematically was conducted. Socio-demographic and, sedentary lifestyle and physical activity information was collected using a questionnaire, while anthropometric indices were measured according to ISAK protocol. Data were analysed using SPSS, version 24.0; where Pearson correlation and linear regression analyses to determine significant predictors of obesity were performed. The prevalence of TV viewing and low participation in moderate-vigorous activity were 75.8%, 69.1% and 82.6%, respectively. Twenty-nine point nine percent and 27.2% were overweight and obese, while 26.8% had very high WC (central obesity). According to Pearson correlation, TV viewing time, food, household activity, walking days and time, vigorous activity work vigorous activity, female gender, age (30-39), being married, unemployment, smoking and alcohol consumption were significantly related to BMI and WC. No significant association was found between most of the sedentary behaviours, level of education and socio-economic status. However, obesity was more prevalent among those with less education and low socio-economic status. In regression analyses, only TV viewing time, work vigorous activity, gender, being married and smoking were the independent and significant predictors of high BMI and WC (obesity) (P< 0.05). There was an association of sedentary lifestyle and socio-demographic characteristics, and obesity. Intervention to prevent sedentary lifestyle and obesity should target females, particularly married, unemployed and those with less level of education."]},{"key":"dc:title","label":"Title","values":["Relationship between sedentary lifestyle patterns and obesity among adults in Ha-Tshikundamalema Area of Limpopo Province, South Africa"]}]}],"canonical_facts":{"dc:contributor.advisor":["Tshitangano, T. G.","Mohlala, M."],"dc:creator":["Ntsieni, Vhonani Margareth"],"dc:date":["2018"],"dc:date.accessioned":["2018-06-05T18:51:37Z"],"dc:date.available":["2018-06-05T18:51:37Z"],"dc:date.issued":["2018-05-18"],"dc:description":["MPH","Department of Public Health"],"dc:description.abstract":["Sedentary lifestyle may contribute to obesity and non-communicable diseases, which are the major public health problem in South Africa. This study investigated the relationship between sedentary lifestyle and obesity among adults in Ha-Tshikundamalema area. A quantitative descriptive cross-sectional study among 298 participants (116 males and 182 females) aged 20-60 years, sampled systematically was conducted. Socio-demographic and, sedentary lifestyle and physical activity information was collected using a questionnaire, while anthropometric indices were measured according to ISAK protocol. Data were analysed using SPSS, version 24.0; where Pearson correlation and linear regression analyses to determine significant predictors of obesity were performed. The prevalence of TV viewing and low participation in moderate-vigorous activity were 75.8%, 69.1% and 82.6%, respectively. Twenty-nine point nine percent and 27.2% were overweight and obese, while 26.8% had very high WC (central obesity). According to Pearson correlation, TV viewing time, food, household activity, walking days and time, vigorous activity work vigorous activity, female gender, age (30-39), being married, unemployment, smoking and alcohol consumption were significantly related to BMI and WC. No significant association was found between most of the sedentary behaviours, level of education and socio-economic status. However, obesity was more prevalent among those with less education and low socio-economic status. In regression analyses, only TV viewing time, work vigorous activity, gender, being married and smoking were the independent and significant predictors of high BMI and WC (obesity) (P< 0.05). There was an association of sedentary lifestyle and socio-demographic characteristics, and obesity. Intervention to prevent sedentary lifestyle and obesity should target females, particularly married, unemployed and those with less level of education."],"dc:identifier.uri":["http://hdl.handle.net/11602/1131"],"dc:language.iso":["en"],"dc:rights":["University of Venda"],"dc:subject":["Adult","Obesity","Sedentary","Lifestyle"],"dc:title":["Relationship between sedentary lifestyle patterns and obesity among adults in Ha-Tshikundamalema Area of Limpopo Province, South Africa"],"dc:type":["Dissertation"]},"updated_at":"2026-07-27T21:57:48Z"}