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Dataset Information

Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status.


ABSTRACT:

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

SUBMITTER: Chen MS 

PROVIDER: S-EPMC8671945 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature