Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status
Objectives To determine whether occupation type, distinguished by socioeconomic status (SES) and sedentary status, is associated with metabolic syndrome (MetS) risk.Methods We analysed two data sets covering 73 506 individuals. MetS was identified according to the criteria of the modified Adult Trea...
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BMJ Publishing Group
2021-12-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/11/12/e042802.full |
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| author | Ming-Shu Chen Chi-Hao Chiu Shih-Hsin Chen |
| author_facet | Ming-Shu Chen Chi-Hao Chiu Shih-Hsin Chen |
| author_sort | Ming-Shu Chen |
| collection | DOAJ |
| description | Objectives To determine whether occupation type, distinguished by socioeconomic status (SES) and sedentary status, is associated with metabolic syndrome (MetS) risk.Methods We analysed two data sets covering 73 506 individuals. MetS was identified according to the criteria of the modified Adult Treatment Panel III. Eight occupational categories were considered: professionals, technical workers, managers, salespeople, service staff, administrative staff, manual labourers and taxi drivers; occupations were grouped into non-sedentary; sedentary, high-SES; and sedentary, non-high-SES occupations. A multiple logistic regression was used to determine significant risk factors for MetS in three age-stratified subgroups. R software for Windows (V.3.5.1) was used for all statistical analyses.Results MetS prevalence increased with age. Among participants aged ≤40 years, where MetS prevalence was low at 6.23%, having a non-sedentary occupation reduced MetS risk (OR=0.88, p<0.0295). Among participants aged >60 years, having a sedentary, high-SES occupation significantly increased (OR=1.39, p<0.0247) MetS risk.Conclusions The influence of occupation type on MetS risk differs among age groups. Non-sedentary occupations and sedentary, high-SES occupations decrease and increase MetS risk, respectively, among younger and older adults, respectively. Authorities should focus on individuals in sedentary, high-SES occupations. |
| format | Article |
| id | doaj-art-e56246baf61f44df993ab97c04c08a63 |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2021-12-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-e56246baf61f44df993ab97c04c08a632024-12-08T09:05:08ZengBMJ Publishing GroupBMJ Open2044-60552021-12-01111210.1136/bmjopen-2020-042802Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic statusMing-Shu Chen0Chi-Hao Chiu1Shih-Hsin Chen2Department of Healthcare Administration, Asia Eastern University of Science and Technology, New Taipei City, TaiwanMedical Affair, Far Eastern Memorial Hospital, New Taipei City, TaiwanDepartment of Computer Science and Information, Tamkang University, New Taipei City, TaiwanObjectives To determine whether occupation type, distinguished by socioeconomic status (SES) and sedentary status, is associated with metabolic syndrome (MetS) risk.Methods We analysed two data sets covering 73 506 individuals. MetS was identified according to the criteria of the modified Adult Treatment Panel III. Eight occupational categories were considered: professionals, technical workers, managers, salespeople, service staff, administrative staff, manual labourers and taxi drivers; occupations were grouped into non-sedentary; sedentary, high-SES; and sedentary, non-high-SES occupations. A multiple logistic regression was used to determine significant risk factors for MetS in three age-stratified subgroups. R software for Windows (V.3.5.1) was used for all statistical analyses.Results MetS prevalence increased with age. Among participants aged ≤40 years, where MetS prevalence was low at 6.23%, having a non-sedentary occupation reduced MetS risk (OR=0.88, p<0.0295). Among participants aged >60 years, having a sedentary, high-SES occupation significantly increased (OR=1.39, p<0.0247) MetS risk.Conclusions The influence of occupation type on MetS risk differs among age groups. Non-sedentary occupations and sedentary, high-SES occupations decrease and increase MetS risk, respectively, among younger and older adults, respectively. Authorities should focus on individuals in sedentary, high-SES occupations.https://bmjopen.bmj.com/content/11/12/e042802.full |
| spellingShingle | Ming-Shu Chen Chi-Hao Chiu Shih-Hsin Chen Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status BMJ Open |
| title | Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status |
| title_full | Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status |
| title_fullStr | Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status |
| title_full_unstemmed | Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status |
| title_short | Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status |
| title_sort | risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status |
| url | https://bmjopen.bmj.com/content/11/12/e042802.full |
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