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  • Albin, B, et al. (author)
  • Mortality among 723 948 foreign- and native-born Swedes 1970-1999
  • 2005
  • In: European Journal of Public Health. - Oxford, UK : Oxford University Press (OUP). - 1101-1262 .- 1464-360X. ; 15:5, s. 511-517
  • Journal article (peer-reviewed)abstract
    • Background: Mortality in a population is regarded as an accurate and valid measure of the population's health. There are a few international studies, predominantly cross- sectional, of mortality among all foreign- born compared with an indigenous population, and the results have varied. No Swedish longitudinal study describing and analysing mortality data was found in a literature review. Methods: This study describes and analyses the differences in mortality between foreign- born persons and native Swedes during the period 1970 - 1999, based on data from Statistics Sweden and the National Board of Health and Welfare. The database consisted of 723 948 persons, 361 974 foreign- born living in Sweden in 1970, aged >= 16 years, and 361 974 Swedish controls matched for age, sex, occupation and type of employment, living in the same county in 1970. Results: The results showed increased mortality for foreign- born persons compared with the Swedish controls [ odds ratio ( OR) 1.08; 95% confidence interval ( CI) 1.07 - 1.08]. Persons who had migrated ` late' ( 1941 - 1970) to Sweden were 2.5 years younger at time of death than controls. In relation to country of birth, the highest risk odds were for men born in Finland ( OR 1.21), Denmark ( OR 1.11) and Norway/ Iceland ( OR 1.074). Age cohorts of foreign- born persons born between 1901 and 1920 had higher mortality at age 55 - 69 years than cohorts born between 1921 and 1944. Conclusions: Migrants had higher mortality than the native population, and migration may be a risk factor for health; therefore, this seems to be an important factor to consider when studying mortality and health.
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  • Ali, Sadiq Mohammad, et al. (author)
  • Socioeconomic, psychosocial, behavioural, and psychological determinants of BMI among young women: differing patterns for underweight and overweight/obesity.
  • 2006
  • In: European Journal of Public Health. - : Oxford University Press (OUP). - 1101-1262 .- 1464-360X. ; 16:3, s. 324-330
  • Journal article (peer-reviewed)abstract
    • Objectives: Underweight, overweight, and obese women aged 18–34 years were compared with normal weight women of the corresponding age according to socioeconomic, psychosocial, health behaviour, self reported global and psychological health, and locus of control characteristics. Methods: The 2000 public health survey in Scania is a cross-sectional study. A total 13 715 persons aged 18–80 years, of which 1967 were females of 18–34 years of age, were included in this study. They answered a postal questionnaire, which represents 59% of the random sample. A logistic regression model adjusted for age was used to investigate the association between socioeconomic, psychosocial, health behaviour, self reported global and psychological health, locus of control, and the BMI categories. Results: A 17.5% proportion of the women, aged 18–34 years, were underweight (BMI < 20.0), 18.4% were overweight, and 7.0% obese. The prevalence of underweight according to the BMI < 18.5 definition was 5.8% among women aged 18–34 years. Women who were underweight had significantly higher odds ratios for overtime work, being students, low emotional support, and poor self reported global as well as poor psychological health than normal weight women. Women who were overweight/obese were unemployed, had low education, low social participation, low emotional and instrumental support, were daily smokers, had a sedentary lifestyle, had poor self reported global health, and had lack of internal locus of control compared with normal weight women. Conclusions: Underweight women are more likely to have poorer psychological health than normal weight women. In contrast, overweight and obese women are more likely to have poor health related behaviours and lack of internal locus of control compared with normal weight women. These differing patterns suggest both different etiology and different preventive strategies to deal with the health risks of people who are underweight as opposed to those who are overweight/obese.
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