title: [Health risks in different living circumstances of mothers. Analyses based on a population study].
abstract: The objective of this study was to determine the living circumstances ('Lebenslagen') in mothers which are associated with elevated health risks. Data were derived from a cross-sectional population based sample of German women (n = 3129) with underage children. By means of a two-step cluster analysis ten different maternal living circumstances were assessed which proved to be distinct with respect to indicators of socioeconomic position, employment status and family-related factors. Out of the ten living circumstances, one could be attributed to higher socioeconomic status (SES), while five were assigned to a middle SES and four to a lower SES. In line with previous findings, mothers with a high SES predominantly showed the best health while mothers with a low SES tended to be at higher health risk with respect to subjective health, mental health (anxiety and depression), obesity and smoking. However, there were important health differences between the different living circumstances within the middle and lower SES. In addition, varying health risks were found among different living circumstances of single mothers, pointing to the significance of family and job-related living conditions in establishing health risks. With this exploratory analysis strategy small-scale living conditions could be detected which were associated with specific health risks. This approach seemed particularly suitable to provide a more precise definition of target groups for health promotion. The findings encourage a more exrensive application of the concept of living conditions in medical sociology research as well as health monitoring.
authors.affiliation: Medizinische Soziologie, OE 5420, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland, sperlich.stefanie@mh-hannover.de.
authors.forename: Stefanie
authors.initials: S
authors.lastname: Sperlich
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D015897:Comorbidity; D004651:Employment / Q000706:statistics & numerical data; D005260:Female; D005858:Germany / Q000453:epidemiology; D006304:Health Status; D006801:Humans; D008019:Life Style; D008297:Male; D001523:Mental Disorders / Q000453:epidemiology* / Q000523:psychology; D008875:Middle Aged; D009035:Mothers / Q000523:psychology / Q000706:statistics & numerical data*; D009765:Obesity / Q000453:epidemiology* / Q000523:psychology; D015995:Prevalence; D018570:Risk Assessment / Q000379:methods*; D012907:Smoking / Q000453:epidemiology*; D012959:Socioeconomic Factors; D055815:Young Adult