Evidence map›Paper›PMID 39898150›Full record

ArticleCureus2024

A Cross-Sectional Study on the Prevalence of Skipping Breakfast Among College-Going Students in a Private University.

Lakshmi Nagalingam, J Princy Felicia, Aishwarya P M, Nithya V

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Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Lakshmi NagalingamCommunity Medicine, Sree Balaji Medical College and Hospital, Chennai, IND.
J Princy FeliciaCommunity Medicine, Madras Medical College, Chennai, IND.
Aishwarya P MCommunity Medicine, Sree Balaji Medical College and Hospital, Chennai, IND.
Nithya VCommunity Medicine, Sree Balaji Medical College and Hospital, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Breakfast is considered one of the important meals of the day as it repletes glucose supply to the brain and improves learning. Skipping breakfast has become more common among college students. It is prompting them to adopt unhealthy lifestyles which might affect their health in the long term. The present study aimed to assess the health effects of skipping breakfast among college students. The main objective of this study is to estimate the prevalence of breakfast-skipping patterns and the factors associated with skipping breakfast among college students. Methods This descriptive cross-sectional study involved 540 college students from four institutions (Karpaga Vinayaga Institute of Medical Sciences and Research Centre, Chengalpattu, Karpaga Vinayaga Institute of Dental Sciences, Chengalpattu, Karpaga Vinayaga Institute of Dental Sciences, Chengalpattu, and Karpaga Vinayaga College of Nursing, Chengalpattu) in Tamil Nadu. A Simple Random Sampling method was used to select the sample. Data were gathered using a pre-tested, semi-structured questionnaire, and ethical clearance was obtained from the institution. The data were analyzed with IBM SPSS Statistics for Windows, Version 21 (Released 2012; IBM Corp., Armonk, New York, United States), employing both descriptive and inferential statistics. Results The prevalence of breakfast skipping among college-going students was 368 (68.2%). The timing of breakfast was a strong predictor; those eating after 10 AM had an adjusted odds ratio of 3.98 (95% CI: 1.65 - 9.61). The use of snacks as meal replacements also showed a significant association, with an odds ratio of 2.90 (95% CI: 1.95 - 4.32). Spending pocket money on breakfast was linked to an increased likelihood of skipping, with an adjusted odds ratio of 1.251 (95% CI: 0.82 - 1.90). Conclusion This study shows that a higher proportion of college students skip their breakfast at least once a week. This study also showed that male gender, lower socioeconomic status, mealtime after 11 a.m., and snacking as a meal substitute more than four times a week are important risk factors for college students who were skipping breakfast. The results indicate that specific programs that encourage eating breakfast earlier and adopting healthy eating behavior may enhance student's general dietary habits.

Indexed as

bmibreakfast skippingeating habitslifestylenutrition

Identifiers

PMID39898150
PMCPMC11782905

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.