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孟加拉国垃圾收集者面临的健康挑战:运用多层次模型探索风险因素

Health Challenges Among Waste Collectors in Bangladesh: Exploring Risk Factors Using Multi-level Modeling.

作者信息

Hossain Safayet, Hossain Md Farhad, Liu Bowen, Ara Anjuman, Alsaoud Haneen, Patwary Md Abdul Majed

机构信息

Department of Statistics, Comilla University, Cumilla 3506, Bangladesh.

Department of Mathematics and Statistics, Division of Computing, Analytics and Mathematics, Science and Engineering, University of Missouri, Kansas-City, 64110, USA.

出版信息

Saf Health Work. 2025 Mar;16(1):13-20. doi: 10.1016/j.shaw.2024.10.007. Epub 2024 Nov 14.

Abstract

BACKGROUND

Waste collectors face multi-faceted health risks including exposure to musculoskeletal disorders, respiratory diseases, and workplace injuries because of their hazardous work environment. The purpose of this study was to determine the risk factors that affect health of the waste collectors across Bangladesh.

METHODS

Data on a cross-sectional survey obtained information from 481 waste collectors about their demographics, housing conditions, hygiene practices, security measures, and disease prevalence. Descriptive analyses and multi-level models are used.

RESULTS

As per univariate analysis, 81.3% did not have access to clean water, 58.4% did not have access to sanitation, and 65.9% of people lived in unhealthy housing. According to bivariate analysis, there is an association between unhealthy working conditions i.e., respiratory illnesses (19.1% asthma, 29.7% cough), gastrointestinal issues (59.3% discomfort, 24.1% diarrhea), musculoskeletal disorders, and dermatological diseases, and unsafe working conditions (i.e., 60% no masks, 71% no gloves, and 75% no boots). Considering geographic clustering, multi-level modeling examined how different factors affected particular illnesses. The following were significant protective factors: better housing (80% lower odds of acute irritation), security measures (50% lower odds of gastrointestinal diseases), good hygiene (62% lower odds of dermatological diseases), and younger age (2% higher odds of respiratory diseases per year).

CONCLUSION

In summary, unsafe living and working conditions greatly push the risks of illness for waste collectors. These risks to occupational health can be reduced with targeted interventions that enhance housing, hygiene, security protocols, and working conditions.

摘要

背景

由于工作环境危险,垃圾收集者面临多方面的健康风险,包括肌肉骨骼疾病、呼吸系统疾病和工作场所受伤。本研究的目的是确定影响孟加拉国各地垃圾收集者健康的风险因素。

方法

横断面调查数据收集了481名垃圾收集者的人口统计学、住房条件、卫生习惯、安全措施和疾病患病率等信息。采用描述性分析和多层次模型。

结果

单因素分析显示,81.3%的人无法获得清洁水,58.4%的人无法使用卫生设施,65.9%的人居住在不健康的住房中。双因素分析表明,不健康的工作条件(即呼吸系统疾病,如19.1%的哮喘、29.7%的咳嗽;胃肠道问题,如59.3%的不适、24.1%的腹泻;肌肉骨骼疾病和皮肤病)与不安全的工作条件(即60%的人不戴口罩、71%的人不戴手套、75%的人不穿靴子)之间存在关联。考虑到地理聚类,多层次模型研究了不同因素如何影响特定疾病。以下是显著的保护因素:更好的住房(急性刺激的几率降低80%)、安全措施(胃肠道疾病的几率降低50%)、良好的卫生习惯(皮肤病的几率降低62%)和较年轻的年龄(每年呼吸系统疾病的几率增加2%)。

结论

总之,不安全的生活和工作条件极大地增加了垃圾收集者患病的风险。通过有针对性的干预措施,改善住房、卫生、安全规程和工作条件,可以降低这些职业健康风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd8b/11959559/9678814c2fc4/gr1.jpg

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