Literature DB >> 25733473

Greater healthful food variety as measured by the US Healthy Food Diversity index is associated with lower odds of metabolic syndrome and its components in US adults.

Maya Vadiveloo1, Niyati Parekh, Niyati Parkeh2, Josiemer Mattei3.   

Abstract

BACKGROUND: Consuming a wider variety of nutrient-dense foods may promote adherence to healthful dietary patterns, leading to improved dietary quality and enhanced metabolic health.
OBJECTIVE: We used the US Healthy Food Diversity (HFD) index to simultaneously measure dietary variety, quality, and proportionality, hypothesizing a priori that race/ethnicity may moderate associations between diet and health.
METHODS: A representative sample of adults (n = 7470) aged 20+ y with two 24-h recalls and complete outcome data from the cross-sectional NHANES 2003-2006 were selected. US HFD values were generated using a previously validated equation with a theoretical range from 0 to nearly 1, with higher scores indicative of more varied diets with a higher proportion of healthful food groups. Metabolic syndrome (MetS) was defined using the most recent harmonized definition. Survey-weighted multivariable linear and logistic regression, adjusted for demographic factors, smoking, energy, screen time, and leisure activity, were used to compute means and ORs (95% CIs).
RESULTS: Adults in the third vs. first US HFD tertile had 21% lower odds of MetS [OR (95% CI): 0.79 (0.64, 0.98)] as well as lower odds of hypertension [0.83 (0.70, 0.995] and elevated waist circumference [0.75 (0.66, 0.86] after multivariable adjustment (P-trend < 0.05). The age- and sex-adjusted odds of low serum HDL cholesterol and impaired fasting plasma glucose (P-trend < 0.05) were lower in the highest vs. lowest US HFD tertile but attenuated with multivariable adjustment (P = 0.06 and 0.22, respectively). Notably, the US HFD index was only protective against adiposity among non-Hispanic white (NHW) and non-Hispanic black (NHB) adults, and MetS associations were driven by NHW adults. No associations were observed among Hispanic adults for any MetS components.
CONCLUSIONS: Greater healthful food variety was associated with lower odds of MetS and some MetS components in the total population, NHW adults, and NHB adults. This study provides preliminary evidence that healthful food diversity may protect against MetS and highlights the need for longitudinal and experimental research.
© 2015 American Society for Nutrition.

Entities:  

Keywords:  dietary diversity; dietary variety; health and racial disparities; healthy food diversity; healthy variety; metabolic syndrome; metabolic syndrome components

Mesh:

Substances:

Year:  2014        PMID: 25733473      PMCID: PMC4336534          DOI: 10.3945/jn.114.199125

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  41 in total

1.  Low-glycemic index diets in the management of diabetes: a meta-analysis of randomized controlled trials.

Authors:  Jennie Brand-Miller; Susan Hayne; Peter Petocz; Stephen Colagiuri
Journal:  Diabetes Care       Date:  2003-08       Impact factor: 19.112

2.  Race and diet in the overweight: association with cardiovascular risk in a nationally representative sample.

Authors:  Vanessa A Diaz; Arch G Mainous; Richelle J Koopman; Peter J Carek; Mark E Geesey
Journal:  Nutrition       Date:  2005-06       Impact factor: 4.008

3.  Beneficial effects of a Dietary Approaches to Stop Hypertension eating plan on features of the metabolic syndrome.

Authors:  Leila Azadbakht; Parvin Mirmiran; Ahmad Esmaillzadeh; Tohid Azizi; Fereidoun Azizi
Journal:  Diabetes Care       Date:  2005-12       Impact factor: 19.112

Review 4.  Concept, measurement and use of acculturation in health and disease risk studies.

Authors:  Bandana M Chakraborty; Ranajit Chakraborty
Journal:  Coll Antropol       Date:  2010-12

5.  Variety in fruit and vegetable consumption and 10-year incidence of CHD and stroke.

Authors:  Linda M Oude Griep; W M Monique Verschuren; Daan Kromhout; Marga C Ocké; Johanna M Geleijnse
Journal:  Public Health Nutr       Date:  2012-03-23       Impact factor: 4.022

Review 6.  The metabolic syndrome.

Authors:  Robert H Eckel; Scott M Grundy; Paul Z Zimmet
Journal:  Lancet       Date:  2005 Apr 16-22       Impact factor: 79.321

Review 7.  Dietary variety, energy regulation, and obesity.

Authors:  H A Raynor; L H Epstein
Journal:  Psychol Bull       Date:  2001-05       Impact factor: 17.737

8.  Collection of food and dietary supplement intake data: What We Eat in America-NHANES.

Authors:  Johanna Dwyer; Mary Frances Picciano; Daniel J Raiten
Journal:  J Nutr       Date:  2003-02       Impact factor: 4.798

9.  A prospective study of the association between quantity and variety of fruit and vegetable intake and incident type 2 diabetes.

Authors:  Andrew J Cooper; Stephen J Sharp; Marleen A H Lentjes; Robert N Luben; Kay-Tee Khaw; Nicholas J Wareham; Nita G Forouhi
Journal:  Diabetes Care       Date:  2012-04-03       Impact factor: 19.112

10.  Weight-loss interventions for Hispanic populations: the role of culture.

Authors:  Nangel M Lindberg; Victor J Stevens; Ruben O Halperin
Journal:  J Obes       Date:  2013-02-26
View more
  9 in total

1.  Greater Healthful Dietary Variety Is Associated with Greater 2-Year Changes in Weight and Adiposity in the Preventing Overweight Using Novel Dietary Strategies (POUNDS Lost) Trial.

Authors:  Maya Vadiveloo; Frank M Sacks; Catherine M Champagne; George A Bray; Josiemer Mattei
Journal:  J Nutr       Date:  2016-06-29       Impact factor: 4.798

Review 2.  Understanding the Relationship Between Food Variety, Food Intake, and Energy Balance.

Authors:  Hollie A Raynor; Maya Vadiveloo
Journal:  Curr Obes Rep       Date:  2018-03

3.  Explaining Racial/Ethnic Dietary Patterns in Relation to Type 2 Diabetes: An Analysis of NHANES 2007-2012.

Authors:  Sarah Y Nowlin; Charles M Cleland; Maya Vadiveloo; Gail D'Eramo Melkus; Niyati Parekh; Holly Hagan
Journal:  Ethn Dis       Date:  2016-10-20       Impact factor: 1.847

4.  Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals.

Authors:  Francesco Asnicar; Sarah E Berry; Ana M Valdes; Long H Nguyen; Gianmarco Piccinno; David A Drew; Emily Leeming; Rachel Gibson; Caroline Le Roy; Haya Al Khatib; Lucy Francis; Mohsen Mazidi; Olatz Mompeo; Mireia Valles-Colomer; Adrian Tett; Francesco Beghini; Léonard Dubois; Davide Bazzani; Andrew Maltez Thomas; Chloe Mirzayi; Asya Khleborodova; Sehyun Oh; Rachel Hine; Christopher Bonnett; Joan Capdevila; Serge Danzanvilliers; Francesca Giordano; Ludwig Geistlinger; Levi Waldron; Richard Davies; George Hadjigeorgiou; Jonathan Wolf; José M Ordovás; Christopher Gardner; Paul W Franks; Andrew T Chan; Curtis Huttenhower; Tim D Spector; Nicola Segata
Journal:  Nat Med       Date:  2021-01-11       Impact factor: 87.241

5.  Impact on dietary intake of a self-directed, gender-tailored diabetes prevention program in men.

Authors:  Megan E Rollo; Elroy J Aguiar; Kirrilly M Pursey; Philip J Morgan; Ronald C Plotnikoff; Myles D Young; Clare E Collins; Robin Callister
Journal:  World J Diabetes       Date:  2017-08-15

6.  Gender difference of metabolic syndrome and its association with dietary diversity at different ages.

Authors:  Xu Tian; Xiaohui Xu; Kai Zhang; Hui Wang
Journal:  Oncotarget       Date:  2017-09-02

7.  Analyzing the Drivers of Household Dietary Diversity: Evidence from Burkina Faso.

Authors:  Arkadeep Bandyopadhyay; Beliyou Haile; Carlo Azzarri; Jérôme Somé
Journal:  Food Nutr Bull       Date:  2021-09-01       Impact factor: 2.069

8.  Association between neighborhood food environment and dietary diversity score among older people in Beijing, China: A cross-sectional study.

Authors:  Man Zhang; Na Zhang; Mingzhu Zhou; Guansheng Ma
Journal:  Front Nutr       Date:  2022-09-20

9.  Using an introduced index to assess the association between food diversity and metabolic syndrome and its components in Chinese adults.

Authors:  Wenzhi Zhao; Jian Zhang; Ai Zhao; Meichen Wang; Wei Wu; Shengjie Tan; Mofan Guo; Yumei Zhang
Journal:  BMC Cardiovasc Disord       Date:  2018-10-03       Impact factor: 2.298

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.