Literature DB >> 29306339

Differences in nutrient and energy contents of commonly consumed dishes prepared in restaurants v. at home in Hunan Province, China.

Xiaofang Jia1, Jiawu Liu2, Bo Chen3, Donghui Jin2, Zhongxi Fu2, Huilin Liu2, Shufa Du4, Barry M Popkin4, Michelle A Mendez4.   

Abstract

OBJECTIVE: Eating away from home is associated with poor diet quality, in part due to less healthy food choices and larger portions. However, few studies account for the potential additional contribution of differences in food composition between restaurant- and home-prepared dishes. The present study aimed to investigate differences in nutrients of dishes prepared in restaurants v. at home.
DESIGN: Eight commonly consumed dishes were collected in twenty of each of the following types of locations: small and large restaurants, and urban and rural households. In addition, two fast-food items were collected from ten KFC, McDonald's and food stalls. Five samples per dish were randomly pooled from every location. Nutrients were analysed and energy was calculated in composite samples. Differences in nutrients of dishes by preparation location were determined.
SETTING: Hunan Province, China.
SUBJECTS: Na, K, protein, total fat, fatty acids, carbohydrate and energy in dishes.
RESULTS: On average, both the absolute and relative fat contents, SFA and Na:K ratio were higher in dishes prepared in restaurants than households (P < 0·05). Protein was 15 % higher in animal food-based dishes prepared in households than restaurants (P<0·05). Quantile regression models found that, at the 90th quantile, restaurant preparation was consistently negatively associated with protein and positively associated with the percentage of energy from fat in all dishes. Moreover, restaurant preparation also positively influenced the SFA content in dishes, except at the highest quantiles.
CONCLUSIONS: These findings suggest that compared with home preparation, dishes prepared in restaurants in China may differ in concentrations of total fat, SFA, protein and Na:K ratio, which may further contribute, beyond food choices, to less healthy nutrient intakes linked to eating away from home.

Entities:  

Keywords:  China; Fat; Food composition; Potassium; Protein; Restaurants; SFA; Sodium

Mesh:

Substances:

Year:  2018        PMID: 29306339      PMCID: PMC5897176          DOI: 10.1017/S1368980017003779

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  39 in total

1.  Trends in food locations and sources among adolescents and young adults.

Authors:  Samara Joy Nielsen; Anna Maria Siega-Riz; Barry M Popkin
Journal:  Prev Med       Date:  2002-08       Impact factor: 4.018

2.  Changes in the energy and sodium content of main entrées in US chain restaurants from 2010 to 2011.

Authors:  Helen W Wu; Roland Sturm
Journal:  J Acad Nutr Diet       Date:  2013-10-01       Impact factor: 4.910

3.  Cohort Profile: The China Health and Nutrition Survey--monitoring and understanding socio-economic and health change in China, 1989-2011.

Authors:  Barry M Popkin; Shufa Du; Fengying Zhai; Bing Zhang
Journal:  Int J Epidemiol       Date:  2009-11-03       Impact factor: 7.196

4.  Fast-food and full-service restaurant consumption and daily energy and nutrient intakes in US adults.

Authors:  R An
Journal:  Eur J Clin Nutr       Date:  2015-07-01       Impact factor: 4.016

5.  An examination of the influence of eating location on the diets of Irish children.

Authors:  S J Burke; S N McCarthy; J L O'Neill; E M Hannon; M Kiely; A Flynn; M J Gibney
Journal:  Public Health Nutr       Date:  2007-03-05       Impact factor: 4.022

6.  Energy content of U.S. fast-food restaurant offerings: 14-year trends.

Authors:  Katherine W Bauer; Mary O Hearst; Alicia A Earnest; Simone A French; J Michael Oakes; Lisa J Harnack
Journal:  Am J Prev Med       Date:  2012-11       Impact factor: 5.043

Review 7.  Dynamics of the Chinese diet and the role of urbanicity, 1991-2011.

Authors:  F Y Zhai; S F Du; Z H Wang; J G Zhang; W W Du; B M Popkin
Journal:  Obes Rev       Date:  2014-01       Impact factor: 9.213

8.  Variability in the reported energy, total fat and saturated fat contents in fast-food products across ten countries.

Authors:  Nida Ziauddeen; Emily Fitt; Louise Edney; Elizabeth Dunford; Bruce Neal; Susan A Jebb
Journal:  Public Health Nutr       Date:  2015-02-23       Impact factor: 4.022

9.  A pilot study to validate a standardized one-week salt estimation method evaluating salt intake and its sources for family members in China.

Authors:  Lu Zhang; Fang Zhao; Puhong Zhang; Jianmei Gao; Caixia Liu; Feng J He; Ching-Ping Lin
Journal:  Nutrients       Date:  2015-01-22       Impact factor: 5.717

Review 10.  A Review of the Growth of the Fast Food Industry in China and Its Potential Impact on Obesity.

Authors:  Youfa Wang; Liang Wang; Hong Xue; Weidong Qu
Journal:  Int J Environ Res Public Health       Date:  2016-11-09       Impact factor: 3.390

View more
  9 in total

1.  Stressed females, rather than males, tend to eat away from home.

Authors:  Feifei Huang; Huijun Wang; Zhihong Wang; Wenwen Du; Yifei Ouyang; Bing Zhang
Journal:  Eur J Clin Nutr       Date:  2022-01-14       Impact factor: 4.884

2.  Eating-out behaviors, associated factors and associations with obesity in Chinese school children: findings from the childhood obesity study in China mega-cities.

Authors:  Jinge Zheng; Liwang Gao; Hong Xue; Bo Xue; Li Zhao; Yun Wang; Junxiang Wei; Youfa Wang
Journal:  Eur J Nutr       Date:  2021-01-13       Impact factor: 5.614

3.  Does Eating-Away-from-Home Increase the Risk of a Metabolic Syndrome Diagnosis?

Authors:  Hui Wang; Yingjie Yu; Xu Tian
Journal:  Int J Environ Res Public Health       Date:  2019-02-16       Impact factor: 3.390

Review 4.  Interventions to Promote Healthy Meals in Full-Service Restaurants and Canteens: A Systematic Review and Meta-Analysis.

Authors:  Floriana Mandracchia; Lucia Tarro; Elisabet Llauradó; Rosa Maria Valls; Rosa Solà
Journal:  Nutrients       Date:  2021-04-18       Impact factor: 5.717

5.  Restaurant interventions for salt reduction in China: protocol for a randomised controlled trial.

Authors:  Wenwen Du; Jiguo Zhang; Yuan Li; Feng J He; Xue Zhou; Zhihua Xu; Yifu Gao; Lei Yin; Xiaoyu Chang; Wei Yan; Monique Tan; Graham A MacGregor; Rong Luo; Puhong Zhang; Huijun Wang
Journal:  BMJ Open       Date:  2020-12-02       Impact factor: 2.692

6.  Sodium content of restaurant dishes in China: a cross-sectional survey.

Authors:  Wenwen Du; Huijun Wang; Jiguo Zhang; Xiaofan Zhang; Nan Wei; Yuan Li; Monique Tan; Puhong Zhang; Feng J He
Journal:  Nutr J       Date:  2022-02-17       Impact factor: 3.271

7.  Validation of the Arabic version of the modified Yale Food Addiction Scale in the general population in Lebanon.

Authors:  Souheil Hallit; Anna Brytek-Matera; Diana Malaeb; Sahar Obeid
Journal:  J Eat Disord       Date:  2022-08-04

8.  Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study.

Authors:  Michelle Lozada-Urbano; Franklin Huamán; Yanira Xirinachs; Oriana Rivera-Lozada; Aldo Alvarez-Risco; Jaime A Yáñez
Journal:  Foods       Date:  2022-08-23

9.  Dietary Potassium Intake Remains Low and Sodium Intake Remains High, and Most Sodium is Derived from Home Food Preparation for Chinese Adults, 1991-2015 Trends.

Authors:  Shufa Du; Huijun Wang; Bing Zhang; Barry M Popkin
Journal:  J Nutr       Date:  2020-05-01       Impact factor: 4.798

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.