ArticleBMC nutrition2025
Food away from home and the risk of non-communicable diseases among young working adults in Pune, India: a smartphone-based dietary assessment.
Article in BMC nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Fast Food, Health Impacts, and Policy Responses in China and India.Annals of global health · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundThe shift towards increased consumption of food away from home (FAFH) has been recognized as a significant contributor to the global rise in non-communicable diseases (NCDs). Despite this, dietary assessment in such contexts often relies on traditional methods prone to recall bias. This study, therefore, employed a novel smartphone-based dietary tracking application called "FoodLog" to investigate the factors associated with FAFH consumption and its relationship with NCD risk among young working adults in Pune, India.
methodsA case-control study was conducted with 1,000 participants (330 cases, 670 controls), aged 25-45 years. Dietary intake was recorded over five consecutive days using the 'FoodLog' app, designed to minimize recall bias. Sociodemographic data were collected via a semi-structured Google Forms questionnaire. Unadjusted and adjusted odds ratios were calculated to assess associations between FAFH consumption, participant characteristics, and NCD risk.
resultsApproximately 35% of participants reported consuming FAFH during the previous week. FAFH consumption was significantly associated with male gender, being married, employment as a consultant, and living alone. Correlations were also found between self-reported chronic conditions and variables such as age (36-45 years), certain professions, marital status, physical inactivity, alcohol consumption, smoking, non-vegetarian diets, and FAFH consumption. FAFH consumers had a 1.48 times higher likelihood of having chronic conditions (AOR = 1.48, CI: 1.25-1.87).
conclusionsThe use of a mobile dietary app offers promising avenues for scalable nutrition monitoring. Findings support targeted public health interventions tailored to urban subgroups and encourage multidisciplinary research to address contextual dietary determinants.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.