Evidence map›Paper›PMID 30041490›Full record

ArticleNutrients2018

Eating Out-of-Home in Adult Residents in Shanghai and the Nutritional Differences among Dining Places.

Jiajie Zang, Baozhang Luo, Yaping Wang, Zhenni Zhu, Zhengyuan Wang, Xin He, Wenjing Wang, Yan Guo, Xiao Chen, Chunfang Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
10.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Persisting predominant clinical CC87Emerging microbes & infections · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Ecological momentary assessment of meal context and food types contributing to salt intake at meals.The international journal of behavioral nutrition and physical activity · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Jiajie ZangDepartment of Nutrition Hygiene, Division of Health Risk Factor Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. zangjiajie@scdc.sh.cn.
Baozhang LuoDepartment of Food Hygiene, Division of Health Risk Factor Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. luobaozhang@scdc.sh.cn.
Yaping WangDepartment of Nutrition Hygiene, Division of Health Risk Factor Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. wyp20170902@126.com.
Zhenni ZhuDepartment of Nutrition Hygiene, Division of Health Risk Factor Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. zhuzhenni@scdc.sh.cn.
Zhengyuan WangDepartment of Nutrition Hygiene, Division of Health Risk Factor Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. wangzhengyuan@scdc.sh.cn.
Xin HeDepartment of Molecular Biology for Public Health, Division of Non-communicable Diseases, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. hexin@scdc.sh.cn.
Wenjing WangDepartment of Molecular Biology for Public Health, Division of Non-communicable Diseases, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. wangwenjing@scdc.sh.cn.
Yan GuoPutuo Center for Disease Control and Prevention, Shanghai 200333, China. gqsh813@163.com.
Xiao ChenPutuo Center for Disease Control and Prevention, Shanghai 200333, China. putuocx@126.com.
Chunfang WangDepartment of Vital Statistics, Division of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. wangchunfang@scdc.sh.cn.
Changyi GuoDepartment of Nutrition Hygiene, Division of Health Risk Factor Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. guochangyi@scdc.sh.cn.
Shurong ZouDepartment of Nutrition Hygiene, Division of Health Risk Factor Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. zoushurong@scdc.sh.cn.
Xiaodong JiaDepartment of Nutrition Hygiene, Division of Health Risk Factor Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. jiaxiaodong@scdc.sh.cn.
Fan WuDepartment of Nutrition Hygiene, Division of Health Risk Factor Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. wufan@smhb.gov.cn.ORCID 0000-0003-2476-2176
Shanghai Municipal Center For Disease Control Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rapid development of Shanghai's economy, diet habits have undergone great changes. The study aimed to examine the situation of out-of-home (OH) eating in Shanghai adults and the nutrition characteristics of eating in different dining places, and to assess the social demographic determinants of eating OH.

methodData was sourced from the Shanghai Diet and Health Survey (SDHS) involving people aged 18 years or older in 2012⁻2013. The food frequency questionnaire (FFQ) and three-day 24-h dietary recall (24-HDR) were used to collect dietary intake data on how people eat out in a cross-sectional study of 1689 adults. OH food refers to the food prepared or consumed away from home. We define that people who eat at least one meal prepared away from home in each survey have a habit of eating outside. The multiple linear and logistic regression methods were used for statistical analysis.

resultsThe prevalence of eating OH and at restaurants was only 55.1% and 31.8%, respectively. There was an increase in energy, protein, carbohydrate, fat, and iron intake while eating OH. Restaurant and company/school canteen consumption were both associated with an increase in daily total energy intake of 140 kcal and 91 kcal, and fat intake of 6.0 g and 4.3 g, respectively. However, eating at restaurants was associated with higher intake of 548 mg of sodium. However, no significant association was observed between eating at canteens and higher sodium intake.

conclusionsEating OH related to a poor diet quality, and the diet quality was different restaurant and canteen food. There may be a need for interventions to target residents' overall dining-out behavior, particularly focusing on the consumption of restaurant food.

Indexed as

Food AnalysisNutritive ValueRestaurantsAdolescentAdultChinaDiet SurveysEatingEnergy IntakeFamily CharacteristicsFeeding BehaviorFemaleHumansLife StyleMaleMiddle Agedcanteensdietary intakeout-of-home eatingrestaurantsShanghai China

Identifiers

PMID30041490
PMCPMC6073505
OpenAlexW2883586546

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.