Original reportsThe Differential Effect of Education and Occupation on Body Mass and Overweight in a Sample of Working People of the General Population
Introduction
Obesity and overweight are more common in lower social classes of affluent societies and in upper social classes of poorer societies (1) independently of the indicator used to measure the social class. Most studies use either education or occupation (2). However, these two indices are moderately correlated 3, 4 and may not be equivalent 3, 5, 6. The fact that the magnitude of the association between social class and obesity varies across societies and with the indicator used raises interesting questions with respect to the causal pathways leading to health inequalities.
Education and occupation characterize different aspects of social class. Higher education provides specific knowledge about health but also skills and a larger cultural background that might facilitate interpreting health information. Occupation generates groups and networks which can have an influence on health habits (7). It also determines income and, therefore, the ability to pursue disease preventive behaviors (8). Moreover, these two indicators reflect someone's social status at different times in life. The highest education is usually achieved at young adulthood and in most cases remains unchanged. In contrast, the occupational level usually starts at the end of the educational process and may vary until retirement.
We perform this study to simultaneously assess the role of education and occupation to body mass and overweight in the general population of Geneva (Switzerland). Our objective is to provide further understanding on the pathways through which social class determines health.
Section snippets
Methods
The Bus Santé 2000 is an ongoing community-based survey of cardiovascular risk factors conducted every year since 1993 (9). Geneva (city and surroundings) has a population of 395,609 distributed over 242 km2 of land, from whom 89,000 men and 98,000 women are non-institutionalized residents aged 35 to 74 years and thus eligible for the survey. The data reported here comprise subjects randomly selected every year, from 1993 to 1997.
Subjects were identified from the residents' register published
Results
Table 1 presents the distribution of men and women by level of education and occupation. Most subjects had medium (about 50%) or high level (about 40%) of education. Half of the men had high occupational level while half of the women had medium occupational level.
Table 2 shows the age-adjusted prevalence of overweight in men and women by education and occupation. Prevalence of overweight was higher in men (52.1%) than in women (28.7%). Significant inverse trends were found with both indicators
Discussion
In our study, men with lower education or lower occupation had higher absolute BMI. A higher prevalence of overweight was associated with lower education but not lower occupation. In women, lower levels of both, education and occupation, were associated with higher BMI and overweight. Moreover, there was an additive interaction between both indicators in determining the average BMI.
Previous studies have reported an association between social class and overweight or obesity. The direction and
Acknowledgements
This study was funded by the Swiss National Fund for Scientific Research (Grants No 32.31.326.91, 32–37986.93 and 32–49847.96).
References (32)
- et al.
Indicators of social class. A comparative appraisal of measures for use in epidemiological studies
Soc Sci Med.
(1982) - et al.
Social class disparities in risk factors for diseaseEight-year prevalence patterns by level of education
Prev Med.
(1990) Socioeconomic status, ethnicity and obesity in women
Ann Epidemiol.
(1996)- et al.
Community-based surveillance of cardiovascular risk factors in GenevaMethods, resulting distributions, and comparisons with other populations
Prev Med.
(1997) - et al.
Obesity and overweight in young adultsThe CARDIA study
Prev Med.
(1990) - et al.
Race, socioeconomic status, and obesity in 9- to 10-year-old girlsThe NHLBI Growth and Health Study
Ann Epidemiol.
(1996) - et al.
Trends in obesity differences by educational level in Spain
J Clin Epidemiol.
(1996) - et al.
Are geographic regions with high income inequality associated with risk of abdominal weight gain?
Soc Sci Med.
(1998) - et al.
Determinants of obesity in relation to socioeconomic status among middle-aged Swedish women
Prev Med.
(1997) - et al.
Educational attainment and nutrient consumption patternsThe Minnesota Heart Survey
J Am Diet Assoc.
(1988)
Nutritional concerns during adolescence
Ped Clin North Am.
Association between socioeconomic status and obesity in 59,566 women
Prev Med.
Socioeconomic status and obesitya review of the literature
Psychol Bull.
The measurement of social class in epidemiology
Epidemiol Rev.
General explanations for social inequalities in health
IARC Sci Publ.
Education and occupational social classWhich is the more important indicator of mortality risk?
J Epidemiol Commun Health.
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