Ahamad Vasim, Akhtar Shamrin, Pal Sanjay Kumar, Bhagat Ram B
Department of Migration and Urban Studies, International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai, 400088, India.
Department of Population and Development Studies, International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai, 400088, India.
BMC Psychiatry. 2025 May 1;25(1):446. doi: 10.1186/s12888-025-06891-4.
Migration has extensive consequences on socioeconomic and health status among older adults at the place of destination; various factors in the migration process affect mental health, a prominent social determinant of health. However, no evidence exists of migration and health outcomes among India's older adults. Thus, the current study investigates the association of individual migration history with depressive symptoms among older Indian adults.
This study used information on 64,340 older adults aged 45 and above from the Longitudinal Ageing Study in India (LASI) wave-1, 2017-18. Migration history was calculated, and categories were based on boundary, duration, stream, and age at migration in this study. The depressive symptoms were calculated using both the CES-D and CIDI-SF scores. Using logistic regression models, the association of selected covariates and domains of migration on depressive symptoms was estimated to assess the links between migration and depressive symptoms.
More than half of the older adults (56.3%) had migrant status in India. The prevalence of depressive symptoms was significantly higher among migrants compared to non-migrants, as measured by both CES-D (30.6% vs. 25.2%) and CIDI-SF (9.3% vs. 6.5%). Multivariate logistic regression revealed that intra-state migrants had significantly higher odds of depression (AOR: 1.08 for CES-D; 1.40 for CIDI-SF) compared to non-migrants. Inter-state migrants also had elevated odds, particularly for CIDI-SF based depression (AOR: 1.38). Among migration streams, rural-to-rural migrants showed the highest odds of depression (AOR: 1.12 for CES-D; 1.39 for CIDI-SF). Duration of migration also influenced mental health: migrants with 25 + years of stay had significantly higher odds (AOR: 1.10 for CES-D; 1.36 for CIDI-SF). Regarding age at migration, individuals who migrated at age 60 or older had the highest odds of depression (AOR: 1.22 for CES-D; 1.42 for CIDI-SF), followed by those who migrated in early life (0-14 years). These findings underscore a strong association between migration history and late-life depression.
This study's findings shed light on migration and its association with depression symptoms among older Indians. Older healthcare services should be expanded in breadth while also addressing migration, resulting in considerable improvements in older individuals' mental health.
移民对目的地的老年人的社会经济和健康状况有着广泛影响;移民过程中的各种因素会影响心理健康,而心理健康是一个突出的健康社会决定因素。然而,目前尚无关于印度老年人移民与健康结果之间关系的证据。因此,本研究调查了印度老年人群体的个人移民史与抑郁症状之间的关联。
本研究使用了来自2017 - 2018年印度纵向老龄化研究(LASI)第一轮中64340名45岁及以上老年人的信息。本研究计算了移民史,并根据边界、持续时间、流向和移民时的年龄进行分类。使用CES - D和CIDI - SF分数来计算抑郁症状。通过逻辑回归模型,估计所选协变量和移民领域与抑郁症状之间的关联,以评估移民与抑郁症状之间的联系。
超过一半的印度老年人(56.3%)具有移民身份。用CES - D(30.6%对25.2%)和CIDI - SF(9.3%对6.5%)衡量,移民中抑郁症状的患病率显著高于非移民。多变量逻辑回归显示,与非移民相比,邦内移民患抑郁症的几率显著更高(CES - D的比值比为1.08;CIDI - SF的比值比为1.40)。邦际移民患抑郁症的几率也有所升高,特别是基于CIDI - SF的抑郁症(比值比为1.38)。在移民流中,农村到农村的移民患抑郁症的几率最高(CES - D的比值比为1.12;CIDI - SF的比值比为1.39)。移民持续时间也会影响心理健康:停留25年及以上的移民患抑郁症的几率显著更高(CES - D的比值比为1.10;CIDI - SF的比值比为1.36)。关于移民时的年龄,60岁及以上移民患抑郁症的几率最高(CES - D的比值比为1.22;CIDI - SF的比值比为1.42),其次是早年(0 - 14岁)移民的人群。这些发现强调了移民史与晚年抑郁症之间的紧密关联。
本研究结果揭示了印度老年人的移民情况及其与抑郁症状的关联。应在扩大老年医疗服务广度的同时关注移民问题,从而大幅改善老年人的心理健康状况。