Understanding the causal factors of obesity using the International Classification of Functioning, Disability and Health

Purpose. Behavioural, personal, psychological, sociodemographic, environmental, biological and childbearing factors have been associated with obesity among women. This study quantitatively explored the effects of these factors on predicting body mass index (BMI) in U.S. women using the International...

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Bibliographic Details
Published in:Disability and rehabilitation 2011-01, Vol.33 (8), p.643-651
Main Authors: Robinson, Keisha Tyler, Butler, James
Format: Article
Language:English
Subjects:
Activities of Daily Living
Adult
Age Distribution
Aged
Body Mass Index
Classification
Diabetes
Disability Evaluation
Disabled Persons
Female
Health
Health Status
Humans
ICF
International Classification of Diseases
Linear Models
Middle Aged
NHANES
Obese women
obesity
Obesity - epidemiology
Obesity - etiology
Obesity - psychology
Population Surveillance
Prevalence
Quality of Life
Social Environment
Socioeconomic Factors
Surveys and Questionnaires
United States - epidemiology
Women
World Health Organization
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Summary:Purpose. Behavioural, personal, psychological, sociodemographic, environmental, biological and childbearing factors have been associated with obesity among women. This study quantitatively explored the effects of these factors on predicting body mass index (BMI) in U.S. women using the International Classification of Functioning, Disability and Health (ICF) and determined the effectiveness of using the ICF with population-level data. Methods. We used the ICF Core Sets for Obesity, and data from the 1999-2006 National Health and Nutrition Examination Survey (NHANES) in a sample of 8766 U.S. women to quantify the impact of all associated causal factors. Linear regression was used in the analyses. Results. Body image perceptions (42%) was the most significant contributor, followed by hypertension (12%), general health condition (11%), diabetes/borderline diabetes (10%), arthritis (9%) and performing vigorous activity (9%). Conclusions. To decrease obesity prevalence rates in U.S. women, obesity prevention and treatment programmes should parallel the contributory effects of its most significant causal factors of psychological, biological and behavioural. In addition, more research and data are needed to explore the relationship between BMI in women and the multiple influencing factors by going beyond the more frequently available information of age, gender, race, education, income and parity.
ISSN:0963-8288
1464-5165
DOI:10.3109/09638288.2010.505994