探索深度:印度孟买海员抑郁的相关因素。

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Anusooya Krishnan, Kumar Sumit, Varalakshmi Chandra Sekaran
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引用次数: 0

摘要

背景:海员面临着与其职业相关的独特挑战,包括心理健康风险。本研究探讨了印度海员抑郁的相关因素。方法:遵循伦理许可,本横断面研究在印度孟买的一家国际航运公司进行。采用有时间限制的方便抽样方法,在口头同意后招募了105名多国籍海员。使用贝克抑郁量表和工作相关生活质量量表筛选研究结果。使用Jamovi 2.0进行数据分析。使用描述性统计和卡方检验来评估相关性,并使用逻辑回归来确定抑郁症的相关因素。结果:105名海员中,男性居多(98.1%),已婚居多(80%),年龄在18-35岁之间(56.2%)。约42.9%的人月收入在30万卢比(约合3604美元)以上。绝大多数人有轻微的情绪障碍,其中90.5%和8.6%的人报告患有抑郁症。从事定期体育活动和月收入较高的海员与工作相关的生活质量较高。研究发现,抑郁与孤独(p=0.031)以及与工作相关的生活质量(p=0.012)之间存在显著关联。在逻辑回归中,我们发现每天工作的小时数,经历孤立和与工作相关的生活质量,显著预测抑郁。结论:海员心理健康发病率的现有负担和治疗差距有待解决。为了解决海员心理健康状况的早期迹象,在船上实施心理健康检查和提供咨询服务可能是今后的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the depths: correlates of depression among seafarers in Mumbai, India.

Background: Seafarers experience unique challenges related to their profession, including risks for mental health. The present study explored the correlates of depression among seafarers in India.

Methods: Following ethics clearance, this cross-sectional study was conducted at an international shipping company in Mumbai, India. Using time-bound convenience sampling, 105 multi-state seafarers were recruited following verbal consent. The Beck Depression Inventory and Work-Related Quality of Life scale were used to screen for the study outcomes. Data analysis was performed using Jamovi 2.0. Descriptive statistics and Chi-square tests were used to assess associations, and logistic regression was performed to identify correlates of depression.

Results: Of 105 seafarers, the majority (98.1%) were male, most were married (80%), and were aged between 18-35 years (56.2%). About 42.9% had an income of INR 3 lakh (≈$3604) and above monthly. An overwhelming majority had mild mood disturbances, which was found among 90.5% and 8.6% reported depression. Seafarers who engaged in regular physical activity and had higher monthly incomes had higher Work-Related Quality of Life. A significant association was found between depression and isolation (p=0.031) as well as with Work-Related Quality of Life (p=0.012). On logistic regression, we found that the number of hours of work per day, experiencing isolation and Work-Related Quality of Life, significantly predicted depression.

Conclusions: The existing burden and treatment gap for mental health morbidity among seafarers needs to be addressed. To address early indications of mental health conditions among seafarers, implementing mental health screening and offering counseling services on board may be the way forward.

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Annali di igiene : medicina preventiva e di comunita
Annali di igiene : medicina preventiva e di comunita HEALTH CARE SCIENCES & SERVICES-
CiteScore
3.40
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