A Review of Food-Related Social Media and Its Relationship to Body Image and Disordered Eating
Abstract
:1. Introduction
2. Methods
3. Results
3.1. Qualitative Studies
3.2. Correlational Studies
3.3. Quasi-Experimental Studies
Author, Year (Country) | Study Design | Participant Characteristics | Media Type | Outcome(s) | Overall Results |
---|---|---|---|---|---|
Bissonnette-Maheux et al., 2015 [26] (Canada) | Qualitative | n= 33; mean age = 44; 100% female; 100% white; 30% family income between $20,000–$49,999 | Healthy eating blogs, written by registered dietician | NA | Two of six groups discussed guilt about eating habits after having read the blogs. |
Strand and Gustafsson, 2020 [20] (Sweden) | Qualitative | n = 1316 social media comments | Mukbang videos | NA | A total of 150 out of 1316 (11.4%) comments discussed increased dietary restriction; 75/1316 (5.7%) discussed overeating. |
von Ash et al., 2023 [27] (USA) | Correlational | n = 264; mean age = 33.7; 49% female; 40% white | Mukbang videos (viewing frequency, time spent viewing, mukbang addiction) | Body dissatisfaction; shape/weight overevaluation; dietary restraint | Viewing frequency (β = 0.11, f2 = 0.02), time spent viewing (β = −2.05, f2 = 0.02) and addiction (β = −1.28, f2 = 0.08) related to body dissatisfaction. Viewing frequency (β = −0.33) and addiction (βs ≥ 0.28, 0.03 ≤ f2 ≥ 0.13) related to various binging and/or purging symptoms; time spent viewing related to overevaluation of shape and weight (β = 2.77, f2 = 0.06). Correlations between other variables not significant. |
Kircaburun et al., 2021 [28] (Turkey) | Correlational | n = 140; mean age = 21.7; 66% female | Mukbang videos | Disordered eating symptomology | Mukbang addiction related to more symptoms of disordered eating (β = 0.43, r = 0.24, p < 0.01). |
Jeong et al., 2024 [30] (South Korea) | Quasi-experimental | n = 50,455; 100% adolescents; 49% female; generally middle class | Mukbang and cookbang videos | Eating behaviors; body shape perception; body image distortion | Boys viewing mukbangs each day tended to believe their bodies were smaller, while girls tended to believe bodies were larger. More boys found to have body image distortion at higher mukbang viewing frequencies. |
Wu et al., 2022 [29] (Australia) | Correlational | n = 269; mean age = 20.7; 100% women; 84.8% white | Clean eating content on Instagram | Compulsive exercise; athletic-ideal internalization; thin-ideal internalization; drive for thinness; disordered eating symptomology; body dissatisfaction | Posting related to compulsive exercise (rs ≥ 0.24) and athletic ideal internalization (rs ≥ 0.24), but not thin-ideal internalization, body dissatisfaction, drive for thinness, or bulimia nervosa symptoms (rs ≤ 0.10). Viewing related to all outcomes (rs ≥ 0.13). |
Allen et al., 2018 [33] (Australia) | Quasi-experimental | n = 762; median age = 27; 100% female; 87% white | Clean eating blogs | Dietary restraint | Individuals following guidance of blogs reported higher dietary restraint than individuals who did not (F(2729) = 26.93; p ≤ 0.01). |
Al-Bisher and Al-Otaibi, 2022 [34] (Saudi Arabia) | Quasi-Experimental | n = 1092; mean age = 23; 100% female | Nutrition information on various social media sites | Eating concerns | Those who: spent 30–60 min searching for nutrition content on social media (OR = 1.09; p = ≤ 0.05) preferred to learn about nutrition through dieticians on social media (OR = 1.17; p ≤ 0.001) or were more interested in social media related to dieting/dietary supplements (OR = 0.87; p < 0.001) and had a higher likelihood of eating concerns. |
Abu Alwafa and Badrasawi, 2023 [35] (Palestine) | Quasi-Experimental | n = 905; mean age = 20; 100% female | Nutrition advice from model and celebrity social media accounts | Body appreciation | Body appreciation negatively related to taking the food-related guidance on celebrity social media channels (ES = 0.23, p = 0.01). |
Caner et al., 2022 [32] (Turkey) | Quasi-Experimental | n = 1363; mean age = 15.9; 63.8% girls; 63.4% perceived “normal” family income | Nutrition/diet content on influencer accounts | Emotional eating | Following these influencers was related to more emotional eating and social appearance anxiety than following other types of influencers (Kruskal–Wallis H Test value ≤ 10.66, ps ≤ 0.03). |
Tazeoglu and Kuyulu Bozdogan, 2022 [31] (Turkey) | Quasi-Experimental | n = 1160; mean age = 21.8; 52.2% female | Food videos | Eating-related guilt | More women (72.8%) than men (38.9%) said that they feel guilty about eating something directly following watching a video (p = 0.01). |
Kinkel-Ram et al., 2022 [36] (USA) | Experimental | Sample 1: n = 222; mean age = 18.9; 100% women; 85.9% white. Sample 2: n = 214; mean age = 19.3; 100% female; 71.1% white | Photos of low-calorie food | Body image; intent for disordered eating | Viewing low-calorie food photos promoted more intention for disordered eating than viewing travel photos amongst women in midwestern US sample: F(1217) = 323.37, p < 0.001, partial η2 = 0.03). Neither sample demonstrated differences in body image across the two conditions (ps > 0.15). |
Zeeni et al., 2024 [37] (Lebanon) | Experimental | n = 63; mean age = 22; 68.3% female | “Junk” food Instagram photos | Food craving | Browsing photos on Instagram resulted in greater food craving for salty, savoury, and fatty foods (ts ≥ 2.93, ps ≤ 0.005, 0.47 ≥ ds ≤ 0.70) than browsing control accounts. No differences in body image (t = 1.38, p = 0.17, d = 0.18) or cravings for sweet foods (t =2.0, p = 0.052, d = 0.29). |
Fiuza and Rodgers, 2023 [38] (USA) | Experimental | n = 421; mean age = 19.5; 100% women | Diet culture-related TikTok videos (for or against diet culture) | Weight/shape satisfaction; intuitive eating; body appreciation; restriction; exercise urges | Diet video condition promoted lower weight and shape satisfaction compared to condition against diet culture (F(2, 392) = 5.05, p = 0.01, partial η2 = 0.03). Condition against diet culture promoted more body appreciation compared to neutral video condition (F(2, 393) = 3.09, p = 0.05, partial η2 = 0.02). Video against diet culture promoted more intuitive eating compared to the neutral video condition (F(2, 392) = 4.29, p = 0.01, partial η2 = 0.02). No significant differences amongst conditions for restriction or exercise urge scores. |
Drivas et al., 2024 [39] (USA) | Experimental | n = 316; mean age = 19.8; 62.7% women; 75.6% white | “What I Eat in a Day” videos | Body appreciation; body satisfaction; diet intentions | Video type (i.e., viewing higher calorie days) indirectly and positively impacted body appreciation and diet intentions, indirectly negatively impacted body dissatisfaction. |
Neter et al., 2018 [40] (Israel) | Experimental | n = 165; mean age = 25.7; 84.8% female | Food porn featured in a travel vlog | Food cravings | Those who viewed vlogs with food porn did not report different levels of craving than those who watched travel vlogs without food porn (F(1162) = 0.77; p = 0.38). |
3.4. Experimental Studies
4. Discussion
Author Contributions
Funding
Conflicts of Interest
References
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Roorda, B.A.; Cassin, S.E. A Review of Food-Related Social Media and Its Relationship to Body Image and Disordered Eating. Nutrients 2025, 17, 342. https://doi.org/10.3390/nu17020342
Roorda BA, Cassin SE. A Review of Food-Related Social Media and Its Relationship to Body Image and Disordered Eating. Nutrients. 2025; 17(2):342. https://doi.org/10.3390/nu17020342
Chicago/Turabian StyleRoorda, Bethany A., and Stephanie E. Cassin. 2025. "A Review of Food-Related Social Media and Its Relationship to Body Image and Disordered Eating" Nutrients 17, no. 2: 342. https://doi.org/10.3390/nu17020342
APA StyleRoorda, B. A., & Cassin, S. E. (2025). A Review of Food-Related Social Media and Its Relationship to Body Image and Disordered Eating. Nutrients, 17(2), 342. https://doi.org/10.3390/nu17020342