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Domain-specific physical activity among professionals with different occupational activity patterns / 中华健康管理学杂志
Chinese Journal of Health Management ; (6): 143-147, 2016.
Article in Chinese | WPRIM | ID: wpr-493052
ABSTRACT
Objective To explore the profiles of physical activity domains among professionals with different occupational activity patterns.Methods A cluster random sampling method was used to recruit employed adults aged 30-60 years in Beijing as well as Zhejiang province.The information on the physical activity domains was collected with a revised Global Physical Activity Questionnaire (GPAQ).Results Of 3 326 professionals,about 30.79%,50.75% and 18.46% adults had Class Ⅰ (mostly sedentary reading or writing during work time) ,Class Ⅱ (mostly working with arms or legs with little effort) ,and Class Ⅲ (working with effort)occupational activity patterns,respectively.The median volume of leisure time activity and bicycling were all 0 Met-min/week,and no significant difference of domestic activity volume was detected among all the three classes of professionals.Of all the non-occupational activity volume among three classes of adults,domestic activity accounted for the most proportion (58.87%) performed by adults of Class Ⅱ,traffic activity accounted for the most proportion (34.2%) by those of Class Ⅲ,and leisure time activity accounted for the most proportion (12.7%) by those of Class Ⅰ.Most time was spent in sedentary behaviors by those of Class Ⅰ after hours.Conclusions Besides the generally low level of moderate activity,the diversity of the domains of physical activity among this population was evident.It is necessary to develop appropriate technology to improve physical activity for professionals with different occupational activity patterns.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Health Management Year: 2016 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Health Management Year: 2016 Type: Article