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Socioeconomic, lifestyle, and occupational factors associated with poor self-rated health in workers of small and medium-scale manufacturing businesses.

Nakata A; Takahashi M; Ikeda T; Hojou M
Social Sciences in Health Care and Medicine. Garner JB, Christiansen TC, eds., Hauppauge, NY: Nova Science Publishers, Inc., 2008 May; :139-165
Self-rated health (SRH) has become an increasingly common measure used in population surveys because it has been proven to be a robust predictor of functional disability, mortality, morbidity, and health care use. The present study investigated the correlation of poor SRH in 2,205 randomly selected workers aged 16-83 years among 244 small- and medium-scale manufacturing enterprises (SMMEs) by means of a self-administered questionnaire. SRH was assessed with a question: How would you describe your health during the past 1-year period? Response options were 'very good', 'good', 'poor', and 'very poor.' Poor SRH was defined by rating the above question as 'poor· or 'very poor' (while good SRH was defined by 'good' or 'very good '). Overall. 33.4% of men and 32.1 % of women rated their health as poor. Multivariable logistic regression analysis was carried out to estimate the risk of having poor (against good) SRH. The analysis revealed that female gender, poor household financial situation. higher educational attainment, current smoking, insomnia symptoms, depressive symptoms. poor health condition, and long work hours are associated with poor SRH. Several industry sectors such as papermaking, printing and chemical had a higher prevalence of poor SRH as compared to the textile industry. Gender-specific analysis did not show much difference in associated factors between men and women in this sample, but men in the highest group of BMI and women working under a shift/night schedule were gender-unique factors related to poor SRH. Although the results should be interpreted cautiously because of self-reporting and cross-sectional study design, we conclude that poor SRH is prevalent among workers in SMMEs, and is associated with a number of modifiable factors at individual and organizational level.
Worker-health; Small-businesses; Industrial-environment; Behavior; Occupations; Work-organization; Epidemiology; Occupational-health; Sociological-factors; Smoking; Work-intervals; Sleep-disorders; Shift-work; Health-surveys; Questionnaires; Mathematical-models; Statistical-analysis; Risk-analysis; Men; Women; Education; Mental-stress; Author Keywords: self-rated health; working population; socioeconomic status; lifestyle; occupational factors; smoking; work hour; work schedule; work organization; financial situation; insomnia; depressive symptoms; small- and medium-scale enterprise; social epidemiology; occupational health
Publication Date
Document Type
Book or book chapter
Garner JB; Christiansen TC
Fiscal Year
NIOSH Division
Source Name
Social Sciences in Health Care and Medicine
Page last reviewed: April 1, 2022
Content source: National Institute for Occupational Safety and Health Education and Information Division