Evidence map›Paper›PMID 39680543›Full record

ArticlePloS one2024

From clicks to calories: Online-to-offline food consumption and overweight and obesity.

Yuanyi Zou, Lin Lin

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Yuanyi ZouDepartment of Urban Planning and Design, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, PRC China.
Lin LinDepartment of Urban Planning and Design, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, PRC China.ORCID 0000-0003-3505-0465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise in online-to-offline (O2O) take-out food consumption has become a global urban phenomenon. While links between general fast-food consumption and increased risks of overweight and obesity are well-documented, the specific relationship with O2O take-out food has not been thoroughly examined. This study aims to fill this research gap by investigating the impacts of take-out food consumption on the risks of being overweight and obese among urban residents. A cross-sectional online survey was conducted between April and July 2022. 716 adult respondents from the metropolitan areas of Shanghai and Suzhou were recruited. Being overweight and obese were measured using self-reported weight and height. Frequencies and preferences of O2O take-out food consumption behaviors were measured using the validated questions designed based on Food Frequency Questionnaires and Dietary Screeners, respectively. The International Physical Activity Questionnaire's short form measured the physical activity level. Cronbach's alpha and Expletory Factor Analysis were used to assess the reliability and validity of the O2O take-out food-related dietary questions. Binary logistic regression models are developed to examine associations between O2O take-out food consumption behaviors and being overweight or obese, adjusting for individual factors, physical activity level, and non-O2O take-out food consumption. The results indicated a direct correlation between frequent O2O take-out consumption and higher risks of overweight and obesity (odds ratio 1.087, 95%CI 1.068~1.106). The preference for ordering Western-style fast-food positively contributed to being overweight and obese (odds ratio 1.071, 95%CI 1.046~1.095). Conversely, a preference for Chinese-style fast food initially appeared to reduce these risks, although the association diminished when accounting for fruit and vegetable consumption. This study represents a pioneering exploration into the effects of O2O take-out food on overweight and obesity. The study results identified an association between the habitual use of O2O take-outs and an increased propensity for being overweight and obese.

Indexed as

Feeding BehaviorObesityOverweightAdultChinaCross-Sectional StudiesEnergy IntakeExerciseFast FoodsFemaleHumansInternetMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID39680543
PMCPMC11649100

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.