Patrick Mullie1, P Clarys2. 1. Faculty of Physical Education and Physiotherapy, Department of Human Biometrics and Biomechanics, Vrije Universiteit Brussel, Brussels, Belgium Unit of Epidemiology and Biostatistics, Queen Astrid Military Hospital, Brussels, Belgium Erasmus University College, Brussels, Belgium. 2. Faculty of Physical Education and Physiotherapy, Department of Human Biometrics and Biomechanics, Vrije Universiteit Brussel, Brussels, Belgium Erasmus University College, Brussels, Belgium.
Abstract
INTRODUCTION: Increasing body mass index (BMI) has been related to many chronic diseases. Knowledge of nutritional determinants of BMI increase may be important to detect persons at risk. METHODS: A longitudinal prospective study design was used in 805 Belgian soldiers. Daily nutrition was recorded with a validated food-frequency questionnaire. Weight and height were recorded from medical military data and principal component analysis was used to detect dietary patterns. RESULTS: During the 5 years follow-up, mean BMI increased from 25.8 (±3.3) kg/m(2) to 27.1 (±3.6) kg/m(2) (p<0.05). Consequently, the prevalence of being overweight and obesity increased from 46.2% and 9.6% to 51.6% and 19.9% (p<0.05), respectively. Mean (SD) weight gain differed between the BMI categories at baseline with a respective weight gain of 3.8 (±3.1) kg for normal weight at baseline, 4.2 (±3.2) kg for overweight and 5.1 (±3.4) kg for obesity (p for trend <0.05). Three dietary patterns were detected by principal component analysis: Meat, Sweet and Healthy dietary pattern. In energy-unadjusted and adjusted linear regressions, no dietary pattern was associated with BMI increase. CONCLUSIONS: No specific dietary pattern was related to BMI increase. Prevention of obesity should focus on total energy intake at all BMI categories. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
INTRODUCTION: Increasing body mass index (BMI) has been related to many chronic diseases. Knowledge of nutritional determinants of BMI increase may be important to detect persons at risk. METHODS: A longitudinal prospective study design was used in 805 Belgian soldiers. Daily nutrition was recorded with a validated food-frequency questionnaire. Weight and height were recorded from medical military data and principal component analysis was used to detect dietary patterns. RESULTS: During the 5 years follow-up, mean BMI increased from 25.8 (±3.3) kg/m(2) to 27.1 (±3.6) kg/m(2) (p<0.05). Consequently, the prevalence of being overweight and obesity increased from 46.2% and 9.6% to 51.6% and 19.9% (p<0.05), respectively. Mean (SD) weight gain differed between the BMI categories at baseline with a respective weight gain of 3.8 (±3.1) kg for normal weight at baseline, 4.2 (±3.2) kg for overweight and 5.1 (±3.4) kg for obesity (p for trend <0.05). Three dietary patterns were detected by principal component analysis: Meat, Sweet and Healthy dietary pattern. In energy-unadjusted and adjusted linear regressions, no dietary pattern was associated with BMI increase. CONCLUSIONS: No specific dietary pattern was related to BMI increase. Prevention of obesity should focus on total energy intake at all BMI categories. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Entities:
Keywords:
dietary pattern analysis; obesity; weight gain
Authors: Lu Jia; Haiwen Lu; Jing Wu; Xuemei Wang; Wenrui Wang; Maolin Du; Peiyu Wang; Sha Du; Yuenan Su; Nan Zhang Journal: BMC Public Health Date: 2020-07-25 Impact factor: 3.295
Authors: Nathan M Solbak; Ala Al Rajabi; Alianu K Akawung; Geraldine Lo Siou; Sharon I Kirkpatrick; Paula J Robson Journal: Nutrients Date: 2019-11-01 Impact factor: 5.717