Factors associated with self-rated health among migrant workers: results from a population-based cross-sectional study in Almaty, Kazakhstan View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-06

AUTHORS

Pam Kumparatana, Francine Cournos, Assel Terlikbayeva, Yelena Rozental, Louisa Gilbert

ABSTRACT

OBJECTIVES: To determine factors associated with SRH among migrant workers in Almaty, Kazakhstan. METHODS: In 2007, 805 vendors were screened. Approximately half were eligible (n =450), defined as at least 18 years old, a worker/owner in a randomly selected stall, having traveled 2 + hours outside of Almaty within the past year, and being an internal/external migrant. 28 non-migrants were excluded, leaving 422 participants. Logistic regression was used to examine the relationship between SRH, mental health, and psychosocial problems. RESULTS: Approximately 46% reported having poor or fair SRH. Clinical depression (OR 0.859, 95% CI 0.342-2.154), alcohol problems (OR 1.169, 95% CI 0.527-2.593), and legal status (OR 0.995, 95% CI 0.806-1.229) were not significantly associated with SRH, nor was exposure to interpersonal violence among women (OR 1.554, 95% CI 0.703-3.435). After adjusting for key variables, only ethnicity and social support were found to be significantly protective against poor or fair SRH. CONCLUSIONS: SRH was not a comprehensive health measure for these Central Asian migrant workers. More specific questions are needed to identify mental illness and interpersonal violence. More... »

PAGES

541-550

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00038-017-0944-y

DOI

http://dx.doi.org/10.1007/s00038-017-0944-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083862412

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28233019


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00038-017-0944-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00038-017-0944-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00038-017-0944-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00038-017-0944-y'


 

This table displays all metadata directly associated to this object as RDF triples.

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