The Relation of Weight to Women’s Health: A Matched Sample Study from Austria
| Autor: | Éva Rásky, Johanna Muckenhuber, Wolfgang Freidl, Nathalie Burkert, Franziska Großschädl |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
Gerontology State of health Health Status Health Behavior Overweight Body Mass Index Risk groups Thinness Quality of life medicine Humans Obesity Socioeconomic status business.industry Body Weight General Medicine Middle Aged medicine.disease Cross-Sectional Studies Logistic Models Socioeconomic Factors Austria Quality of Life Women's Health Female Self Report medicine.symptom Underweight Risk assessment business Demography |
| Zdroj: | Women & Health. 55:134-151 |
| ISSN: | 1541-0331 0363-0242 |
| Popis: | While being underweight, overweight, or obese has been associated with higher rates of morbidity and mortality, such relations have not been studied in Austrian women. Therefore, the aim of this study was to analyze differences in health, health behaviors, and quality of life among women of various weight status categories, using data from the Austrian Health Interview (AT-HIS) 2006/07. First, women between 20 and 60 years of age, from four different weight status groups (underweight, normal weight, overweight, and obese) were matched case to case on age and socioeconomic status. After matching, the total number of women included in the analyses was 516 (N = 129 per). Differences in health status among women in different weight status categories were calculated using multiple conditional logistic regression analyses. Compared to females in the other three groups, women with normal weight had the best state of health: they had better self-reported health, suffered from fewer chronic conditions (e.g., sacrospinal complaints or migraines), and needed medical treatment less often. Moreover, they had better self-reported quality of life. In contrast, women who were underweight or obese showed worse health than women of normal weight. Appropriate health programs for weight risk groups are needed. |
| Databáze: | OpenAIRE |
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