Mario Siervo1, Concetta Montagnese2, John C Mathers1, Katrina R Soroka1, Blossom C M Stephan3, Jonathan C K Wells2. 1. 1 Human Nutrition Research Centre, Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle on Tyne, NE4 5PL, UK. 2. 2 Childhood Nutrition Research Centre, UCL Institute of Child Health, London, UK. 3. 3 Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK.
Abstract
OBJECTIVE: The nutrition transition model provides an integrated approach to analyse global changes in food consumption and lifestyle patterns. Whether variability in food availability for consumption, lifestyle and sociodemographic factors is associated with the worldwide prevalence distribution of overweight, obesity and hypertension is unclear. DESIGN: Ecological analysis. SETTING: Country-specific prevalence estimates of overweight, obesity and hypertension were obtained. Prevalence estimates were then matched to year- and country-specific food and energy availability for consumption of cereals, sugar, sweeteners and honey, vegetable oils, fruits, starchy roots, pulses, total vegetables, alcoholic beverages, total meat, animal fat, eggs, milk, and fish and seafood. The per capita Gross Domestic Product (GDP), urbanization rates and prevalence of physical inactivity for each country were also obtained. SUBJECTS: The overweight, obesity and hypertension databases included information from 128, 123 and seventy-nine countries, respectively. RESULTS: Consumption of sugar and animal products were directly associated with GDP and urbanization rates. In a multivariate regression model, physical inactivity (B = 0·01, se = 0·005, P = 0·003), cereal consumption (B = -0·02, se = 0·006, P < 0·001) and sugar consumption (B = 0·03, se = 0·01, P = 0·03) were significant predictors of obesity prevalence. Midpoint age (B = 0·21, se = 0·10, P = 0·02), prevalence of overweight (B = 0·18, se = 0·08, P = 0·02) and consumption of cereals (B = -0·22, se = 0·10, P = 0·02) were significant predictors of hypertension. Women appeared to have a significant obesity excess compared with men. CONCLUSIONS: High sugar consumption and sedentary lifestyle are associated with increased obesity prevalence. The non-linear association of sugar consumption with prevalence of obesity suggests that effective strategies to reduce its consumption may have differential effects in countries at different stages of the nutrition transition.
OBJECTIVE: The nutrition transition model provides an integrated approach to analyse global changes in food consumption and lifestyle patterns. Whether variability in food availability for consumption, lifestyle and sociodemographic factors is associated with the worldwide prevalence distribution of overweight, obesity and hypertension is unclear. DESIGN: Ecological analysis. SETTING: Country-specific prevalence estimates of overweight, obesity and hypertension were obtained. Prevalence estimates were then matched to year- and country-specific food and energy availability for consumption of cereals, sugar, sweeteners and honey, vegetable oils, fruits, starchy roots, pulses, total vegetables, alcoholic beverages, total meat, animal fat, eggs, milk, and fish and seafood. The per capita Gross Domestic Product (GDP), urbanization rates and prevalence of physical inactivity for each country were also obtained. SUBJECTS: The overweight, obesity and hypertension databases included information from 128, 123 and seventy-nine countries, respectively. RESULTS: Consumption of sugar and animal products were directly associated with GDP and urbanization rates. In a multivariate regression model, physical inactivity (B = 0·01, se = 0·005, P = 0·003), cereal consumption (B = -0·02, se = 0·006, P < 0·001) and sugar consumption (B = 0·03, se = 0·01, P = 0·03) were significant predictors of obesity prevalence. Midpoint age (B = 0·21, se = 0·10, P = 0·02), prevalence of overweight (B = 0·18, se = 0·08, P = 0·02) and consumption of cereals (B = -0·22, se = 0·10, P = 0·02) were significant predictors of hypertension. Women appeared to have a significant obesity excess compared with men. CONCLUSIONS: High sugar consumption and sedentary lifestyle are associated with increased obesity prevalence. The non-linear association of sugar consumption with prevalence of obesity suggests that effective strategies to reduce its consumption may have differential effects in countries at different stages of the nutrition transition.
Authors: Meghan B Azad; Ahmed M Abou-Setta; Bhupendrasinh F Chauhan; Rasheda Rabbani; Justin Lys; Leslie Copstein; Amrinder Mann; Maya M Jeyaraman; Ashleigh E Reid; Michelle Fiander; Dylan S MacKay; Jon McGavock; Brandy Wicklow; Ryan Zarychanski Journal: CMAJ Date: 2017-07-17 Impact factor: 8.262
Authors: Jordi Merino; Hassan S Dashti; Daniel I Chasman; Audrey Y Chu; Toshiko Tanaka; Sherly X Li; Chloé Sarnowski; Anne E Justice; Misa Graff; Constantina Papoutsakis; Caren E Smith; George V Dedoussis; Rozenn N Lemaitre; Mary K Wojczynski; Satu Männistö; Julius S Ngwa; Minjung Kho; Tarunveer S Ahluwalia; Natalia Pervjakova; Denise K Houston; Claude Bouchard; Tao Huang; Marju Orho-Melander; Alexis C Frazier-Wood; Dennis O Mook-Kanamori; Louis Pérusse; Craig E Pennell; Paul S de Vries; Trudy Voortman; Olivia Li; Stavroula Kanoni; Lynda M Rose; Terho Lehtimäki; Jing Hua Zhao; Mary F Feitosa; Jian'an Luan; Nicola M McKeown; Jennifer A Smith; Torben Hansen; Niina Eklund; Mike A Nalls; Tuomo Rankinen; Jinyan Huang; Dena G Hernandez; Christina-Alexandra Schulz; Ani Manichaikul; Ruifang Li-Gao; Marie-Claude Vohl; Carol A Wang; Frank J A van Rooij; Jean Shin; Ioanna P Kalafati; Felix Day; Paul M Ridker; Mika Kähönen; David S Siscovick; Claudia Langenberg; Wei Zhao; Arne Astrup; Paul Knekt; Melissa Garcia; D C Rao; Qibin Qi; Luigi Ferrucci; Ulrika Ericson; John Blangero; Albert Hofman; Zdenka Pausova; Vera Mikkilä; Nick J Wareham; Sharon L R Kardia; Oluf Pedersen; Antti Jula; Joanne E Curran; M Carola Zillikens; Jorma S Viikari; Nita G Forouhi; José M Ordovás; John C Lieske; Harri Rissanen; André G Uitterlinden; Olli T Raitakari; Jessica C Kiefte-de Jong; Josée Dupuis; Jerome I Rotter; Kari E North; Robert A Scott; Michael A Province; Markus Perola; L Adrienne Cupples; Stephen T Turner; Thorkild I A Sørensen; Veikko Salomaa; Yongmei Liu; Yun J Sung; Lu Qi; Stefania Bandinelli; Stephen S Rich; Renée de Mutsert; Angelo Tremblay; Wendy H Oddy; Oscar H Franco; Tomas Paus; Jose C Florez; Panos Deloukas; Leo-Pekka Lyytikäinen Journal: Mol Psychiatry Date: 2018-07-09 Impact factor: 15.992
Authors: J J Anderson; C A Celis-Morales; D F Mackay; S Iliodromiti; D M Lyall; N Sattar; Jmr Gill; J P Pell Journal: Int J Epidemiol Date: 2017-04-01 Impact factor: 7.196
Authors: Kai Ling Kong; Brenda Burgess; Katherine S Morris; Tyler Re; Holly R Hull; Debra K Sullivan; Rocco A Paluch Journal: J Nutr Date: 2021-06-01 Impact factor: 4.687
Authors: Mohammed Al Thani; Al Anoud Al Thani; Walaa Al-Chetachi; Badria Al Malki; Shamseldin A H Khalifa; Ahmad Haj Bakri; Nahla Hwalla; Lara Nasreddine; Farah Naja Journal: Nutrients Date: 2015-09-09 Impact factor: 5.717