Migration trajectories and their relationship to mental health among internal migrants in urban China: A sequence alignment approach

Yang, Min; Dijst, Martin; Helbich, Marco

doi:10.1002/psp.2304

Cited by 10 publications

(14 citation statements)

References 59 publications

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“…This often increased the complexity and duration of their migration process and, therefore, the probability of stressor-exposure. To give an example, Vietnamese migrants with several stops in different countries might be more often and for a longer time confronted with an uncertain residence status and the resulting fear of rejection than those who came to Germany directly ( 37 ). Therefore, our results suggest that multiple migration experiences may enlarge the stressor load and, thereby, as previous studies with Vietnamese in Germany ( 19 ) and Sweden ( 38 ) have shown, the risk for adjustment problems and mental distress such as depression.…”

Section: Discussionmentioning

confidence: 99%

Mental Health Determinants Among a Psychiatric Outpatient Sample of Vietnamese Migrants in Germany

et al. 2020

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Background: Mental health risk-factors for Asian migrants have been studied almost exclusively in the US, Canada, and Australia but not in European countries. Therefore, we aimed to identify sociodemographic, clinical, and migration-surrounding factors associated with experienced mental distress among Vietnamese migrants in Germany.Method: 305 Vietnamese migrants utilizing Germany's first Vietnamese psychiatric outpatient clinic filled out at admission the Brief-Symptom-Inventory 18 (BSI-18) as well as a questionnaire on 22 potential mental health determinants. Using a multiple linear regression model, we identified those sociodemographic, clinical, and migration-surrounding factors that were significantly related to the Global Severity Index (GSI) of the BSI-18.Results: The factors unemployment (B = −6.32, p = 0.014), financial problems (B = −10.71, p < 0.001), no or only little religious involvement (B = −3.23, p = 0.002), no psychiatric precontact (B = −7.35, p = 0.004), previous migration experiences (B = 8.76, p = 0.002), and perceived discrimination (B = 6.58, p = 0.011) were found to significantly increase the level of mental distress according to the BSI-GSI.Conclusion: Based on these results, we were able to construct a mental health risk-profile for Vietnamese migrants in Germany, which aims to detect candidates for psychiatric problems earlier and supply them with customized prevention and therapy options.

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Section: Discussionmentioning

confidence: 99%

Mental Health Determinants Among a Psychiatric Outpatient Sample of Vietnamese Migrants in Germany

et al. 2020

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“…However, the use of sequence analysis on migration studies has begun to take off only recently. Our study joins the small but growing number of studies that use sequence analysis to examine migration patterns across substantial age ranges (di Belgiojoso & Terzera, 2018;Impicciatore & Panichella, 2019;Liao & Gan, 2020;Stovel & Bolan, 2004;Vidal & Lutz, 2018;M. Yang et al, 2020;Zufferey et al, 2021).…”

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confidence: 71%

“…For example, Impicciatore and Panichella (2019) show that different migration trajectories are associated with social mobility outcomes. M. Yang et al (2020) study internal migration trajectories in China and find that these trajectories are associated with mental health. Liao and Gan (2020) explore international migration trajectories for Filipino and Indonesian female domestic workers in Hong Kong and find that more complex migration trajectories are associated with higher job satisfaction.…”

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confidence: 99%

Determinants and consequences of rural‐to‐urban migration patterns in China: Evidence from sequence analysis

Chen

Treiman

2021

Population Space and Place

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This paper adopts a life course perspective that captures the migration trajectory for rural-to-urban migrants in China during the observation window. By taking this trajectory approach, we aim to advance the understanding of divergent ruralto-urban migration patterns in China and their determinants and consequences. We use data from the Survey of Internal Migration and Health in China (IMHC) and focus on individuals' migration experience between age 14 and 40. First, we apply sequence analysis to characterise the main rural-to-urban migration patterns by different timing, duration, frequency, and direction and identify seven common patterns. We next examine the determinants of these patterns. The results suggest that demographic characteristics, socio-economic background, and hometown characteristics shape migration trajectories in complex ways, highlighting that social origin can substantially determine migration patterns of rural Chinese. Furthermore, we examine via a counterfactual framework how the seven migration patterns shape migrants' occupational attainment while taking account of self-selection into different migration trajectories. The findings show that (i) there is self-selection into migration trajectories that has implications for occupational status and (ii) nontransient adult urban migration is associated with higher occupational attainment whereas other types of migration are not.

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“…Integrated data collection that records migration decisions following a population over long periods of time is rare. Similarly to the analysis of international migrants' trajectories (Schapendonk, van Liempt, Schwarz, & Steel, 2018), there is a budding literature on internal migration trajectories and their importance (Impicciatore & Panichella, 2019; Yang, Dijst, & Helbich, 2019), but these are limited to individual subnational case studies.…”

Section: Introductionmentioning

confidence: 99%

Multiple moves and return migration within developing countries: A comparative analysis

Cattaneo

Robinson

2020

Population Space and Place

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This paper sheds new light on internal migration processes by estimating stylized migration histories for populations in 31 countries. The focus is on repeat migration and on return migration back to rural areas from urban areas. Migration histories are portrayed by introducing migration pathway matrices, representing the shares of the population (by gender) that have moved or stayed in rural and urban areas over three periods (childhood and two forward periods). Using data from Demographic and Health Surveys (DHS), the estimation of national migration pathway matrices was done with an information-theoretic procedure using maximum-entropy econometrics to estimate migration frequencies by population groups. Moving multiple times is found to be a consolidated practice in all countries analysed. Sizeable urban-to-rural migration flows are found, with rural returnees often contributing substantially to these flows. This phenomenon is more pronounced in countries in relatively early phases of economic development and among male migrants. For the sample of countries in sub-Saharan Africa, on average, 51% of men and 32% of women migrating from urban to rural areas are return migrants who lived in rural areas as children. Results indicate many migrants move multiple times: In the overall sample of countries, at least 43% of men and 36% of women who move once will move a second time (or more), accounting for nearly 120 million individuals. We find large differences in migration histories across genders, with these differences tending to be smaller for countries that are further along their economic development path and more urbanised.

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Migration trajectories and their relationship to mental health among internal migrants in urban China: A sequence alignment approach

Cited by 10 publications

References 59 publications

Mental Health Determinants Among a Psychiatric Outpatient Sample of Vietnamese Migrants in Germany

Mental Health Determinants Among a Psychiatric Outpatient Sample of Vietnamese Migrants in Germany

Determinants and consequences of rural‐to‐urban migration patterns in China: Evidence from sequence analysis

Multiple moves and return migration within developing countries: A comparative analysis

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