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Advances from Large Cohort Studies on Risk Pattern in Populations Groups and Migrants

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Global Health".

Deadline for manuscript submissions: closed (22 September 2020) | Viewed by 2766

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Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
Interests: social epidemiology; migrant research; stroke; cancer; statistical methods in epidemiology
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Special Issue Information

Deadline for manuscript submissions: closed (22 September 2020).  Please consider the special issue "Migration and Global Health" instead (https://www.mdpi.com/journal/ijerph/special_issues/migration_global_health)

 

Dear Colleagues,

In the past decade, numerous large cohort studies have been implemented, and many of these are currently in their recruitment phase. Most of these cohorts are population-based and contain a fraction of individuals with a migration background. Research on migrants has contributed to advances in the etiology of cancer and other diseases in the past. Some of the population-based cohorts are specifically planned at locations with a high proportion of migrants, while others are large enough to allow subgroup analyses on selected migrant groups and allow a comparison with the autochthonous population with respect to chronic disease risk, genetic predispositions, epigenetic aspects, preventive aspects including health literacy, healthcare research, and others.

This Special Issue of IJERPH focuses on research and experiences related to epidemiology and health care research with special emphasis on migrants. This may include a description of new challenges, approaches or instruments to assess health issues in migrant groups, pertinent results of cohort analyses, as well as evidence syntheses. Papers on participatory epidemiology in this field are also welcome.

In this Special Issue, we invite researchers in social epidemiology, genetic epidemiology, public health, health care research, management, quality assurance, epidemiology, health economics, and other social sciences to submit high quality empirical papers or systematic reviews related to the issues in this research area.

Prof. Dr. Heiko Becher
Prof. Dr. Hajo Zeeb
Guest Editors

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Keywords

  • Cohort studies
  • Migrants
  • Social epidemiology
  • Health care research
  • Chronic diseases

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Published Papers (1 paper)

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Research

13 pages, 986 KiB  
Article
Physical Activity Trajectories among Persons of Turkish Descent Living in Germany—A Cohort Study
by Lilian Krist, Christina Dornquast, Thomas Reinhold, Heiko Becher, Katja Icke, Ina Danquah, Stefan N. Willich and Thomas Keil
Int. J. Environ. Res. Public Health 2020, 17(17), 6349; https://doi.org/10.3390/ijerph17176349 - 31 Aug 2020
Cited by 3 | Viewed by 2382
Abstract
Physical activity (PA) behavior is increasingly described as trajectories taking changes over a longer period into account. Little is known, however, about predictors of those trajectories among migrant populations. Therefore, the aim of the present cohort study was to describe changes of PA [...] Read more.
Physical activity (PA) behavior is increasingly described as trajectories taking changes over a longer period into account. Little is known, however, about predictors of those trajectories among migrant populations. Therefore, the aim of the present cohort study was to describe changes of PA over six years and to explore migration-related and other predictors for different PA trajectories in adults of Turkish descent living in Berlin. At baseline (2011/2012) and after six years, sociodemographics, health behavior, and medical information were assessed. Four PA trajectories were defined using data of weekly PA from baseline and follow-up: “inactive”, “decreasing”, “increasing”, and “stable active”. Multivariable regression analyses were performed in order to determine predictors for the “stable active” trajectory, and results were presented as adjusted odds ratios (aOR) with 95% confidence intervals (95%CI). In this analysis, 197 people (60.9% women, mean age ± standard deviation 49.9 ± 12.8 years) were included. A total of 77.7% were first-generation migrants, and 50.5% had Turkish citizenship. The four PA trajectories differed regarding citizenship, preferred questionnaire language, and marital status. “Stable active” trajectory membership was predicted by educational level (high vs. low: aOR 4.20, 95%CI [1.10; 16.00]), citizenship (German or dual vs. Turkish only: 3.60 [1.20; 10.86]), preferred questionnaire language (German vs. Turkish: 3.35 [1.05; 10.66]), and BMI (overweight vs. normal weight: 0.28 [0.08; 0.99]). In our study, migration-related factors only partially predicted trajectory membership, however, persons with citizenship of their country of origin and/or with poor language skills should be particularly considered when planning PA prevention programs. Full article
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