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Population attributable fraction of indicators for musculoskeletal diseases: a cross-sectional study of fishers in Korea
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Jaehoo Lee, Bohyun Sim, Bonggyun Ju, Chul Gab Lee, Ki-Soo Park, Mi-Ji Kim, Jeong Ho Kim, Kunhyung Kim, Hansoo Song
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Ann Occup Environ Med 2022;34:e23. Published online September 7, 2022
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DOI: https://doi.org/10.35371/aoem.2022.34.e23
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 Abstract
Abstract in Korean
 PDF Supplementary Material PubReader ePub
- Background
The musculoskeletal disease (MSD) burden is an important health problem among Korean fishers. We aimed to investigate the indicators of the prevalence of MSD and contributions of significant indicators to MSD in Korean fishers. MethodsThis cross-section study included 927 fishers (male, 371; female, 556) aged 40 to 79 years who were enrolled from 3 fishery safety and health centers. The outcome variable was one-year prevalence of MSD in 5 body parts (the neck, shoulder, hand, back, and knee). Independent variables were sex, age, educational attainment, household income, job classification, employment xlink:type, hazardous working environment (cold, heat, and noise), ergonomic risk by the 5 body parts, anxiety disorder, depression, hypertension, diabetes, and hyperlipidemia. The adjusted odds ratio of MSDs by the 5 body parts were calculated using multiple logistic regression analysis. We computed the population attributable fraction (PAF) for each indicators of MSDs using binary regression models. ResultsThe one-year prevalence of MSD in the neck, shoulder, hand, back, and knee was 7.8%, 17.8%, 7.8%, 27.2%, and 16.2% in males vs. 16.4%, 28.1%, 23.0%, 38.7%, and 30.0% in females, respectively. The ergonomic risk PAF according to the body parts ranged from 22.8%–59.6% in males and 22.8%–50.3% in female. Mental diseases showed a significant PAF for all body parts only among female (PAF 9.1%–21.4%). Cold exposure showed a significant PAF for the neck, shoulder, and hand MSD only among female (25.6%–26.8%). Age was not a significant indicator except for the knee MSD among female. ConclusionsErgonomic risk contributed majorly as indicators of MSDs in both sexes of fishers. Mental disease and cold exposure were indicators of MSDs only among female fishers. This information may be important for determining priority risk groups for the prevention of work-related MSD among Korean fishers.
- 어업인의 근골격계질환 관련인자의 인구집단 기여위험분율에 관한 단면연구
목적
한국 어업인들의 근골격계질환 유병률에 대한 관련인자의 인구집단 기여위험도를 조사하는 것이다.
방법
본 연구의 대상은 3개 어업안전보건센터에 소속된 40-79세 어업인 927명(남성 371명, 여성 556명)이다. 결과 변수는 구조화된 설문지에 따른 5개 신체 부위(목, 어깨, 손, 허리, 무릎)의 근골격계질환 1년 유병률이다. 독립변수는 성별, 연령, 최종학력, 가구소득, 고용형태, 세부업종, 유해 작업환경(추위, 더위, 소음), 신체부담작업수준, 불안장애, 우울증, 고혈압, 당뇨, 고지혈증이다. 다중 로지스틱 회귀분석을 사용하여5개 신체부위별 근골격계질환의 오즈비를 산출하였다. 이를 이용하여 근골격계질환에 대한 각 변수별로 인구집단 기여위험분율(PAF)를 계산하였다.
결과
남성에서 근골격계질환 1년 유병률은 목7.8%, 어깨17.8%, 손7.8%, 허리27.2%, 무릎16.2% 이다. 여성의 1년 근골격계질환 1년유병률은 목 16.4%, 어깨 28.1%, 손 23.0%, 등 38.7%, 무릎 30.0% 이다. 신체 부위에 따른 신체부담작업의 기여위험분율은 남성 22.8-59.6%, 여성 22.8-50.3%이다. 정신질환은 여성에서만 모든 신체부위에서 유의한 기여위험분율을 보였다(9.1%-21.4%). 추위 노출은 여성에서만 목, 어깨, 손 근골격계질환에 대해 유의미한 기여위험분율을 보였다(25.6%-26.8%). 나이는 여성에서 무릎을 제외하고는 유의한 인자가 아니다.
결론
신체부담작업은 남성, 여성 모두에서 근골격계질환에 대한 주요 기여 변수이다. 정신 질환과 추위 노출은 여성 어업인에서만 근골격계질환에 기여를 한다. 본 연구는 어업인들의 업무관련성 근골격계질환 예방을 위한 우선순위 판단에 정보를 제공할 것이다.
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The relationship between depressive symptoms among female workers and job stress and sleep quality
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Ho-Sung Cho, Young-Wook Kim, Hyoung-Wook Park, Kang-Ho Lee, Baek-Geun Jeong, Yune-Sik Kang, Ki-Soo Park
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Ann Occup Environ Med 2013;25:12-12. Published online July 22, 2013
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DOI: https://doi.org/10.1186/2052-4374-25-12
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Abstract
PDFPubReaderePub
- Objective
Recently, workers' mental health has become important focus in the field of occupational health management. Depression is a psychiatric illness with a high prevalence. The association between job stress and depressive symptoms has been demonstrated in many studies. Recently, studies about the association between sleep quality and depressive symptoms have been reported, but there has been no large-scaled study in Korean female workers. Therefore, this study was designed to investigate the relationship between job stress and sleep quality, and depressive symptoms in female workers. MethodsFrom Mar 2011 to Aug 2011, 4,833 female workers in the manufacturing, finance, and service fields at 16 workplaces in Yeungnam province participated in this study, conducted in combination with a worksite-based health checkup initiated by the National Health Insurance Service (NHIS). In this study, a questionnaire survey was carried out using the Korean Occupational Stress Scale-Short Form(KOSS-SF), Pittsburgh Sleep Quality Index(PSQI) and Center for Epidemiological Studies-Depression Scale(CES-D). The collected data was entered in the system and analyzed using the PASW (version 18.0) program. A correlation analysis, cross analysis, multivariate logistic regression analysis, and hierarchical multiple regression analysis were conducted. ResultsAmong the 4,883 subjects, 978 subjects (20.0%) were in the depression group. Job stress(OR=3.58, 95% CI=3.06-4.21) and sleep quality(OR=3.81, 95% CI=3.18-4.56) were strongly associated with depressive symptoms. Hierarchical multiple regression analysis revealed that job stress displayed explanatory powers of 15.6% on depression while sleep quality displayed explanatory powers of 16.2%, showing that job stress and sleep quality had a closer relationship with depressive symptoms, compared to the other factors. The multivariate logistic regression analysis yielded odds ratios between the 7 subscales of job stress and depressive symptoms in the range of 1.30-2.72 and the odds ratio for the lack of reward was the highest(OR=2.72, 95% CI=2.32-3.19). In the partial correlation analysis between each of the 7 subscales of sleep quality (PSQI) and depressive symptoms, the correlation coefficient of subjective sleep quality and daytime dysfunction were 0.352 and 0.362, respectively. ConclusionThis study showed that the depressive symptoms of female workers are closely related to their job stress and sleep quality. In particular, the lack of reward and subjective sleep factors are the greatest contributors to depression. In the future, a large-scale study should be performed to augment the current study and to reflect all age groups in a balanced manner. The findings on job stress, sleep, and depression can be utilized as source data to establish standards for mental health management of the ever increasing numbers of female members of the workplace.
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