{"title":"The Morbidity Patterns among Industrial Workers in Sulaymaniyah Governorate, Iraqi Kurdistan-Region: A Cross-sectional Study","authors":"B. Ameen, Sanaa Hassan Abdulsahibb","doi":"10.3889/oamjms.2023.11460","DOIUrl":null,"url":null,"abstract":"BACKGROUND: The industry is one of the Kurdistan region’s largest and most influential sectors. The number of workers in industrial factories increased by an average of 61.4% in 2019 compared to 2018. However, industrial workers are exposed to numerous risks in the workplace, which may have adverse effects on their health and increase the incidence of diseases among workers.\nAIM: The aim of this study is to identify patterns of morbidity among industrial workers in Sulaymaniyah industries, as well as to find the relationship between disease patterns and some of the sociodemographic data of the study sample.\nMETHODS: A worker-based and cross-sectional study was conducted among ten large-scale industries. The ten participating factories have over 900-line workers. Three hundred were selected using Epi Info™ software. The correct number of employees per factory was determined using a proportionate method, and then the employees were chosen on purpose. The workers were interviewed using a developed questionnaire. The data were analyzed using descriptive and inferential statistics methods (Chi-square test).\nRESULTS: Morbidity was noticed among 55.3% of participating workers. About 32.3% of the workers were found to be overweight, making it the most common health condition. Obesity came in second at 8%, then musculoskeletal problems at 3.7%. About 2.7% had vision problems. Younger age groups, who had worked in the industry for fewer years, showed lower percentages of morbidity patterns among them.\nCONCLUSION: Industry workers must be aware of occupational health and safety measures to protect themselves from workplace hazards and reduce disease incidence.","PeriodicalId":19562,"journal":{"name":"Open Access Macedonian Journal of Medical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Access Macedonian Journal of Medical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3889/oamjms.2023.11460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
BACKGROUND: The industry is one of the Kurdistan region’s largest and most influential sectors. The number of workers in industrial factories increased by an average of 61.4% in 2019 compared to 2018. However, industrial workers are exposed to numerous risks in the workplace, which may have adverse effects on their health and increase the incidence of diseases among workers.
AIM: The aim of this study is to identify patterns of morbidity among industrial workers in Sulaymaniyah industries, as well as to find the relationship between disease patterns and some of the sociodemographic data of the study sample.
METHODS: A worker-based and cross-sectional study was conducted among ten large-scale industries. The ten participating factories have over 900-line workers. Three hundred were selected using Epi Info™ software. The correct number of employees per factory was determined using a proportionate method, and then the employees were chosen on purpose. The workers were interviewed using a developed questionnaire. The data were analyzed using descriptive and inferential statistics methods (Chi-square test).
RESULTS: Morbidity was noticed among 55.3% of participating workers. About 32.3% of the workers were found to be overweight, making it the most common health condition. Obesity came in second at 8%, then musculoskeletal problems at 3.7%. About 2.7% had vision problems. Younger age groups, who had worked in the industry for fewer years, showed lower percentages of morbidity patterns among them.
CONCLUSION: Industry workers must be aware of occupational health and safety measures to protect themselves from workplace hazards and reduce disease incidence.
期刊介绍:
Open Access Macedonian Journal of Medical Sciences (OAMJMS) [formerly known as Macedonian Journal of Medical Sciences] is a top-tier open access medical science journal published by the ID Design 2012/DOOEL Skopje, Rajko Zhinzifov No 48, 1000 Skopje, Republic of Macedonia. OAMJMS is an international, modern, general medical journal covering all areas in the medical sciences, from basic studies to large clinical trials and cost-effectiveness analyses. We publish mostly human studies that substantially enhance our understanding of disease epidemiology, etiology, and physiology; the development of prognostic and diagnostic technologies; trials that test the efficacy of specific interventions and those that compare different treatments; and systematic reviews. We aim to promote translation of basic research into clinical investigation, and of clinical evidence into practice. We publish occasional studies in animal models when they report outstanding research findings that are highly clinically relevant. Our audience is the international medical community as well as educators, policy makers, patient advocacy groups, and interested members of the public around the world. OAMJMS is published quarterly online version. The Open Access Macedonian Journal of Medical Sciences (OAMJMS) publishes Medical Informatics, Basic Science, Clinical Science, Case Report, Brief Communication, Public Health, Public Policy, and Review Article from all fields of medicine and related fields. This journal also publishes, continuously or occasionally, the bibliographies of the members of the Society, medical history, medical publications, thesis abstracts, book reviews, reports on meetings, information on future meetings, important events and dates, and various headings which contribute to the development of the corresponding scientific field.