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Occupational Health and Industrial Hygiene

Old Dominion University

Health

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Predictors Of Occupational Distress Of Catholic Priests On The Eastern Seaboard Of The United States, Michael D. Kostick, Xihe Zhu, Justin A. Haegele, Pete Baker Jan 2024

Predictors Of Occupational Distress Of Catholic Priests On The Eastern Seaboard Of The United States, Michael D. Kostick, Xihe Zhu, Justin A. Haegele, Pete Baker

Human Movement Studies & Special Education Faculty Publications

With ever-increasing demands placed upon active priests in the United States, insight into protecting their mental health may help strengthen vocational resilience for individual priests. The purpose of this study was to examine the association of individual variables, workplace characteristics, and physical activity participation with occupational distress levels among Catholic priests. A 22-question survey consisting of a demographic questionnaire, the Clergy Occupational Distress Index, and the International Physical Activity Questionnaire was employed to collect individual variables, workplace characteristics, physical activity participation, and occupational distress levels of Catholic priests from the Eastern seaboard of the United States. Regression analyses showed that …


The Social Income Inequality, Social Integration And Health Status Of Internal Migrants In China, Yanwei Lin, Qi Zhang, Wen Chen, Li Ling Jan 2017

The Social Income Inequality, Social Integration And Health Status Of Internal Migrants In China, Yanwei Lin, Qi Zhang, Wen Chen, Li Ling

Community & Environmental Health Faculty Publications

Background: To examine the interaction between social income inequality, social integration, and health status among internal migrants (IMs) who migrate between regions in China.

Methods: We used the data from the 2014 Internal Migrant Dynamic Monitoring Survey in China, which sampled 15,999 IMs in eight cities in China. The Gini coefficient at the city level was calculated to measure social income inequality and was categorized into low (0.2 < Gini <= 0.3), medium (0.3 < Gini <= 0.4), high (0.4 < x < = 0.5), and very high (Gini > 0.5). Health status was measured based upon self-reported health, subjective well-being, and perceptions of stress and mental health. Social integration was measured from four perspectives (acculturation and integration willingness, social insurance, economy, …