STUDY OBJECTIVE: Environmental-factor changes may largely be accountable for the dramatic increase of obesity prevalence in industrialized countries. This study investigated the relationships between body mass index (BMI) and various socio-economic, clinical, behavioural and reproductive factors in a population from Southern France. METHODS: Using a cross-sectional study, a sample of 3127 current and former salaried workers (1658 men and 1469 women) completed a questionnaire on personal and medical histories, and had a clinical examination including height and weight measurements. Age-adjusted and multiple linear regression analyses were performed. RESULTS: The overall prevalence of obesity (BMI> or =30 kg/m) was 9.8% and was higher in men than in women (11.1 versus 8.3%). Multivariate analyses showed that in both sexes, low educational level, television watching, low physical activity and ex-smoking habits, were independently associated with a higher BMI. Furthermore, in women, we found independent and positive associations between BMI and the number of naps per week, short sleep duration, daily alcohol consumption, the number of pregnancies, early age at menarche or the non-use of oral contraceptives. CONCLUSIONS: Our results reveal the complexity that exists between BMI and environmental factors and stress the need to analyse and to handle these factors simultaneously.
STUDY OBJECTIVE: Environmental-factor changes may largely be accountable for the dramatic increase of obesity prevalence in industrialized countries. This study investigated the relationships between body mass index (BMI) and various socio-economic, clinical, behavioural and reproductive factors in a population from Southern France. METHODS: Using a cross-sectional study, a sample of 3127 current and former salaried workers (1658 men and 1469 women) completed a questionnaire on personal and medical histories, and had a clinical examination including height and weight measurements. Age-adjusted and multiple linear regression analyses were performed. RESULTS: The overall prevalence of obesity (BMI> or =30 kg/m) was 9.8% and was higher in men than in women (11.1 versus 8.3%). Multivariate analyses showed that in both sexes, low educational level, television watching, low physical activity and ex-smoking habits, were independently associated with a higher BMI. Furthermore, in women, we found independent and positive associations between BMI and the number of naps per week, short sleep duration, daily alcohol consumption, the number of pregnancies, early age at menarche or the non-use of oral contraceptives. CONCLUSIONS: Our results reveal the complexity that exists between BMI and environmental factors and stress the need to analyse and to handle these factors simultaneously.
Authors: Nathaniel F Watson; M Safwan Badr; Gregory Belenky; Donald L Bliwise; Orfeu M Buxton; Daniel Buysse; David F Dinges; James Gangwisch; Michael A Grandner; Clete Kushida; Raman K Malhotra; Jennifer L Martin; Sanjay R Patel; Stuart F Quan; Esra Tasali Journal: J Clin Sleep Med Date: 2015-08-15 Impact factor: 4.062
Authors: Saverio Stranges; Francesco P Cappuccio; Ngianga-Bakwin Kandala; Michelle A Miller; Frances M Taggart; Meena Kumari; Jane E Ferrie; Martin J Shipley; Eric J Brunner; Michael G Marmot Journal: Am J Epidemiol Date: 2007-11-15 Impact factor: 4.897
Authors: Monica M Vasquez; James L Goodwin; Amy A Drescher; Terry W Smith; Stuart F Quan Journal: J Clin Sleep Med Date: 2008-10-15 Impact factor: 4.062
Authors: Emily J McAllister; Nikhil V Dhurandhar; Scott W Keith; Louis J Aronne; Jamie Barger; Monica Baskin; Ruth M Benca; Joseph Biggio; Mary M Boggiano; Joe C Eisenmann; Mai Elobeid; Kevin R Fontaine; Peter Gluckman; Erin C Hanlon; Peter Katzmarzyk; Angelo Pietrobelli; David T Redden; Douglas M Ruden; Chenxi Wang; Robert A Waterland; Suzanne M Wright; David B Allison Journal: Crit Rev Food Sci Nutr Date: 2009-11 Impact factor: 11.176