Evidence map›Paper›PMID 41699586›Full record

ArticleBMC public health2026

The relationship between internet addiction and intuitive eating: a cross-sectional study among young adults.

Ozlem Persil-Ozkan, Dilek Ozcelik-Ersu, Cinar Erginbas, Yagmur Demirel-Ozbek

Abstract read
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Article in BMC public health, 2026. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ozlem Persil-OzkanDepartment of Nutrition and Dietetics, Bandirma Onyedi Eylul University, Faculty of Health Sciences, Bandirma, Balikesir, Türkiye.
Dilek Ozcelik-ErsuDepartment of Nutrition and Dietetics, Istanbul Arel University, Faculty of Health Sciences, Istanbul, Türkiye.
Cinar ErginbasDepartment of Nutrition and Dietetics, Istanbul Arel University, Faculty of Health Sciences, Istanbul, Türkiye.
Yagmur Demirel-OzbekDepartment of Nutrition and Dietetics, Recep Tayyip Erdogan University,Faculty of Health Sciences, Rize, 53000, Türkiye. yagmur.demirel@erdogan.edu.tr.

Funding

Recep Tayyip Erdoğan University Development Foundation 02025012026905
6 · The paper itself

Abstract

backgroundWith digitalisation rapidly transforming young people’s lifestyles, the effects of internet use on eating behaviour have become increasingly important from a public health perspective. The aim of this study is to examine the relationship between the level of internet addiction and intuitive eating behaviours among young adults aged 18–25 living in Türkiye. Additionally, the effects of individuals’ socio-demographic characteristics, physical activity levels, eating habits, and anthropometric measurements on internet addiction and intuitive eating were evaluated.

methodsThis descriptive and cross-sectional study was conducted between July and August 2025 via an online survey form on 892 young adults (aged 18–25). The data collection tools used were the Young Internet Addiction Test and the Intuitive Eating Scale (IES), The four subscales of the IES—Unconditional Permission to Eat (UPE), Reliance on Hunger and Satiety Cues (RHSC), Eating for Physical Rather Than Emotional Reasons (EPRER), and Body–Food Choice Congruence (BFCC)—were analysed separately. Correlation, Mann–Whitney U, Kruskal–Wallis, and post-hoc analyses were applied in the evaluation of the data.

resultsThe mean score on the Young Internet Addiction Test among young adults was 30.3 ± 9.6, while the total score for intuitive eating was determined to be 3.1 ± 0.5. An inverse relationship was observed between intuitive eating level and internet addiction; as internet addiction increased, the scores for UPE and EPRER decreased (p < 0.05). It was found that intuitive eating scores decreased as BMI increased; however, intuitive eating scores increased as education level increased (p < 0.05). It was determined that as internet addiction scores increased, physical activity levels decreased and sleep duration increased. Regarding meal consumption, it was determined that those who consumed two main meals had the highest intuitive eating scores; as snack consumption increased, intuitive eating scores decreased (p < 0.05).

conclusionsInternet addiction weakens intuitive eating in young individuals, while higher education and balanced meals strengthen it. As digital lifestyle significantly shapes eating behaviours, programmes promoting intuitive eating and healthy digital habits are recommended for young adults.

Indexed as

Behavior, AddictiveFeeding BehaviorInternet Addiction DisorderIntuitionAdolescentAdultCross-Sectional StudiesFemaleHumansInternetMaleSurveys and QuestionnairesYoung AdultDigital healthInternet addictionIntuitive eatingPublic healthYoung adults

Identifiers

PMID41699586
PMCPMC12994228

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LicenceCC BY-NC-ND
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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.