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印度奥里萨邦矿工中多病共存的患病率及模式:一项横断面研究

Prevalence and patterns of multimorbidity among mining workers of Odisha, India: a cross-sectional study.

作者信息

Sinha Abhinav, Ali Md Shaney, Funnell Mark P, Chauhan Arohi, Highton Patrick J, Kanungo Srikanta, Pati Sanghamitra

机构信息

ICMR-Regional Medical Research Centre, Bhubaneswar, India.

Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.

出版信息

Front Public Health. 2025 Aug 19;13:1613856. doi: 10.3389/fpubh.2025.1613856. eCollection 2025.

Abstract

INTRODUCTION

Multimorbidity is an emerging public health challenge in India due to rapid industrialization, urbanization and an aging population. Multimorbidity often impacts occupational outcomes, including work-related stress, job loss, absenteeism, and reduced years of service. Odisha, an eastern state of India, is a major mining state with a large workforce exposed to occupational physical and mental stress, and toxic waste. We determined prevalence of multimorbidity and assessed its correlates among mining workers in the Odisha, India. Additionally, we assessed the most common patterns of chronic conditions in this group.

METHODS

A cross-sectional study was conducted among 425 mining workers aged ≥18 years in Sukinda, Odisha, from January to July 2022. Participants were recruited using systematic random sampling. A pre-validated multimorbidity Assessment Questionnaire for Primary Care was used for face to face interviews following standardized protocols. Multivariable logistic regression models assessed associations between multimorbidity and socio-demographic characteristics. A matrix analysis identified common dyads and triads of chronic conditions.

RESULTS

The overall prevalence of multimorbidity was 37.41%. The most common dyad was acid peptic disease + chronic backache (10.06%), while the most frequent triad was acid peptic disease + chronic backache + chronic chest pain (1.89%). Irregular exercise [AOR: 4.66 (95% CI: 1.74-12.49)], and longer service in the mining industry (31-40 years) [AOR: 8.05 (95% CI: 1.91-33.86)] were significantly associated with multimorbidity.

CONCLUSION

The high prevalence of multimorbidity among mining workers highlights the urgent need for workplace health policies and/or interventions prioritizing ergonomic improvements, chronic disease management, and routine health screenings.

摘要

引言

由于快速工业化、城市化和人口老龄化,多重疾病在印度正成为一个新出现的公共卫生挑战。多重疾病常常影响职业结果,包括工作相关压力、失业、旷工和服务年限减少。印度东部的奥里萨邦是一个主要的矿业邦,有大量劳动力暴露于职业身心压力和有毒废物中。我们确定了印度奥里萨邦矿业工人多重疾病的患病率,并评估了其相关因素。此外,我们评估了该群体中慢性病的最常见模式。

方法

2022年1月至7月,在奥里萨邦苏金达对425名年龄≥18岁的矿业工人进行了一项横断面研究。采用系统随机抽样招募参与者。一份经过预验证的初级保健多重疾病评估问卷按照标准化方案用于面对面访谈。多变量逻辑回归模型评估多重疾病与社会人口学特征之间的关联。矩阵分析确定了慢性病的常见二元组和三元组。

结果

多重疾病的总体患病率为37.41%。最常见的二元组是消化性溃疡+慢性背痛(10.06%),而最常见的三元组是消化性溃疡+慢性背痛+慢性胸痛(1.89%)。不定期锻炼[AOR:4.66(95%CI:1.74 - 12.49)]以及在采矿业工作较长时间(31 - 40年)[AOR:8.05(95%CI:1.91 - 33.86)]与多重疾病显著相关。

结论

矿业工人中多重疾病的高患病率凸显了迫切需要制定以改善人体工程学、慢性病管理和常规健康筛查为重点的工作场所健康政策和/或干预措施。

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本文引用的文献

1
Multimorbidity among the Indigenous population: A systematic review and meta-analysis.
Ann Epidemiol. 2024 Oct;98:8-17. doi: 10.1016/j.annepidem.2024.07.047. Epub 2024 Jul 26.
2
Epidemiology and impact of chronic disease multimorbidity in India: a systematic review and meta-analysis.
J Multimorb Comorb. 2024 Jun 5;14:26335565241258851. doi: 10.1177/26335565241258851. eCollection 2024 Jan-Dec.
3
Landscaping tuberculosis multimorbidity: findings from a cross-sectional study in India.
BMC Public Health. 2024 Feb 13;24(1):453. doi: 10.1186/s12889-024-17828-z.
4
Non-communicable disease multimorbidity among tribal older adults in India: evidence from Study on Global AGEing and adult health, 2015.
Front Public Health. 2023 Aug 24;11:1217753. doi: 10.3389/fpubh.2023.1217753. eCollection 2023.
5
Global and regional prevalence of multimorbidity in the adult population in community settings: a systematic review and meta-analysis.
EClinicalMedicine. 2023 Feb 16;57:101860. doi: 10.1016/j.eclinm.2023.101860. eCollection 2023 Mar.
6
Morbidity patterns among current and ex-mine workers in Karauli district of Rajasthan, India.
J Family Med Prim Care. 2022 Jul;11(7):3673-3680. doi: 10.4103/jfmpc.jfmpc_2240_21. Epub 2022 Jul 22.
7
Multimorbidity.
Nat Rev Dis Primers. 2022 Jul 14;8(1):48. doi: 10.1038/s41572-022-00376-4.
8
Multimorbidity Among Urban Poor in India: Findings From LASI, Wave-1.
Front Public Health. 2022 Jun 2;10:881967. doi: 10.3389/fpubh.2022.881967. eCollection 2022.
9
Emerging multimorbidity patterns and their links with selected health outcomes in a working-age population group.
J Prev Med Hyg. 2022 Apr 26;63(1):E152-E160. doi: 10.15167/2421-4248/jpmh2022.63.1.2303. eCollection 2022 Mar.
10
Physical Activity and Multimorbidity Among Community-Dwelling Older Adults: A Systematic Review With Meta-Analysis.
Am J Health Promot. 2022 Nov;36(8):1371-1385. doi: 10.1177/08901171221104458. Epub 2022 May 27.

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