Public interest in weight loss and diet-related topics in Europe: an infodemiology study of Google trends data from 2004–2022

References

• Beck F, Richard JB, Nguyen-Thanh V, Montagni I, Parizot I, Renahy E. 2014. Use of the internet as a health information resource among French young adults: results from a nationally representative survey. J Med Internet Res. 16(5):e2934. doi:10.2196/jmir.2934.
   Web of Science ®Google Scholar
• Bianchi T. 2023. Worldwide desktop market share of leading search engines from January 2015 to January 2023. https://www.statista.com/statistics/216573/worldwide-market-share-of-search-engines/
   Google Scholar
• Carr LJ, Dunsiger SI. 2012. Search query data to monitor interest in behavior change: application for public health. PLoS One. 7(10):e0048158. doi:10.1371/journal.pone.0048158.
   PubMed Web of Science ®Google Scholar
• Corder K, Winpenny EM, Foubister C, Guagliano JM, Hartwig XM, Love R, Astbury CC, Van Sluijs EM. 2020. Becoming a parent: a systematic review and meta‐analysis of changes in BMI, diet, and physical activity. Obes Rev. 21(4):e12959.
   PubMed Web of Science ®Google Scholar
• Díaz-Zavala RG, Castro-Cantú MF, Valencia ME, Álvarez-Hernández G, Haby MM, Esparza-Romero J. 2017. Effect of the holiday season on weight gain: a narrative review. J Obes. 2017:2085136. doi:10.1155/2017/2085136.
   PubMed Web of Science ®Google Scholar
• Estacio EV, Whittle R, Protheroe J. 2019. The digital divide: examining socio-demographic factors associated with health literacy, access and use of internet to seek health information. J Health Psychol. 24(12):1668–1675. doi:10.1177/1359105317695429.
   PubMed Web of Science ®Google Scholar
• Fassier P, Chhim AS, Andreeva VA, Hercberg S, Latino-Martel P, Pouchieu C, Touvier M. 2016. Seeking health-and nutrition-related information on the Internet in a large population of French adults: results of the NutriNet-Santé study. Br J Nutr. 115(11):2039–2046. doi:10.1017/S0007114516001355.
   PubMed Web of Science ®Google Scholar
• Freire R. 2020. Scientific evidence of diets for weight loss: different macronutrient composition, intermittent fasting, and popular diets. Nutrition. 69:110549. doi:10.1016/j.nut.2019.07.001.
   PubMed Web of Science ®Google Scholar
• Greger M. 2020. A whole food plant-based diet is effective for weight loss: the evidence. Am J Lifestyle Med. 14(5):500–510. doi:10.1177/1559827620912400.
   PubMed Web of Science ®Google Scholar
• Jun SP, Yoo HS, Choi S. 2018. Ten years of research change using Google Trends: from the perspective of big data utilizations and applications. Technol Forecast Soc Change. 130:69–87. doi:10.1016/j.techfore.2017.11.009.
   Web of Science ®Google Scholar
• Kamiński M, Kręgielska-Narożna M, Bogdański P. 2021. Seasonal variation in lifestyle behavior in Poland: google searches and market sales analysis. BMC Public Health. 21(1):1–9. doi:10.1186/s12889–021–11543–9.
   PubMed Web of Science ®Google Scholar
• Kamiński M, Skonieczna-Żydecka K, Nowak JK, Stachowska E. 2020. Global and local diet popularity rankings, their secular trends, and seasonal variation in Google Trends data. Nutrition. 79–80:110759. doi:10.1016/j.nut.2020.110759.
   PubMed Web of Science ®Google Scholar
• Kakoschke N, Zajac IT, Tay J, Luscombe-Marsh ND, Thompson CH, Noakes M, Buckley JD, Wittert G, Brinkworth GD. 2021. Effects of very low-carbohydrate vs. high-carbohydrate weight loss diets on psychological health in adults with obesity and type 2 diabetes: a 2-year randomized controlled trial. Eur J Nutr. 60(8):4251–4262. doi:10.1007/s00394–021–02587-z.
   PubMed Web of Science ®Google Scholar
• Kontos E, Blake KD, Chou WYS, Prestin A. 2014. Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012. J Med Internet Res. 16(7):e172. doi:10.2196/jmir.3117.
   PubMedGoogle Scholar
• Lyn R, Heath E, Dubhashi J. 2019. Global implementation of obesity prevention policies: a review of progress, politics, and the path forward. Curr Obes Rep. 8(4):504–516. doi:10.1007/s13679–019–00358-w.
   PubMed Web of Science ®Google Scholar
• Ma Y, Olendzki BC, Li W, Hafner AR, Chiriboga D, Hebert JR, Campbell M, Sarnie M, Ockene IS. 2006. Seasonal variation in food intake, physical activity, and body weight in a predominantly overweight population. Eur J Clin Nutr. 60(4):519–528. doi:10.1038/sj.ejcn.1602346.
   PubMed Web of Science ®Google Scholar
• Mason F, Farley A, Pallan M, Sitch A, Easter C, Daley AJ. 2018. Effectiveness of a brief behavioural intervention to prevent weight gain over the Christmas holiday period: randomised controlled trial. BMJ. 363:k4867. doi:10.1136/bmj.k4867.
   PubMedGoogle Scholar
• Mavragani A, Ochoa G, Tsagarakis KP. 2018. Assessing the methods, tools, and statistical approaches in Google Trends research: systematic review. J Med Internet Res. 20(11):e270. doi:10.2196/jmir.9366.
   PubMed Web of Science ®Google Scholar
• Meredith GW, Yeong R, Kerrie H, Elizabeth HBS, Terbizan D. 2016. Nutrition education effective in increasing fruit and vegetable consumption among overweight and obese adults. Appetite. 100:94–101. doi:10.1016/j.appet.2016.02.002.
   PubMed Web of Science ®Google Scholar
• Nucci D, Santangelo OE, Nardi M, Provenzano S, Gianfredi V. 2021. Wikipedia, Google Trends and Diet: assessment of Temporal Trends in the Internet Users’ Searches in Italy before and during COVID-19 Pandemic. Nutrients. 13(11):3683. doi:10.3390/nu13113683.
   PubMed Web of Science ®Google Scholar
• Nuti SV, Wayda B, Ranasinghe I, Wang S, Dreyer RP, Chen SI, Murugiah K. 2014. The use of google trends in health care research: a systematic review. PLoS One. 9(10):e109583. doi:10.1371/journal.pone.0109583.
   PubMed Web of Science ®Google Scholar
• Obert J, Pearlman M, Obert L, Chapin S. 2017. Popular weight loss strategies: a review of four weight loss techniques. Curr Gastroenterol Rep. 19(12):1–4. doi:10.1007/s11894–017–0603–8.
   PubMedGoogle Scholar
• Palomo-Llinares R, Sánchez-Tormo J, Wanden-Berghe C, Sanz-Valero J. 2021. Trends and seasonality of information searches carried out through google on nutrition and healthy diet in relation to occupational health: infodemiological study. Nutrients. 13(12):4300. doi:10.3390/nu13124300.
   PubMed Web of Science ®Google Scholar
• Pollard CM, Pulker CE, Meng X, Kerr DA, Scott JA. 2015. Who uses the internet as a source of nutrition and dietary information? An australian population perspective. J Med Internet Res. 17(8):e209. doi:10.2196/jmir.4548.
   PubMed Web of Science ®Google Scholar
• Portugal-Nunes C, Nunes FM, Saraiva C, Gonçalves C. 2023. Public interest in food sustainability: an infodemiology study of Google trends data in Europe from 2010–2021. Int J Food Sci Nutr. 74(1):95–106. doi:10.1080/09637486.2022.2151988.
   PubMed Web of Science ®Google Scholar
• Ramadhani ID, Latifah L, Prasetyo A, Khairunnisa M, Wardhani YF, Yunitawati D, Fahlevi M. 2022. Infodemiology on diet and weight loss behavior before and during COVID-19 pandemic in Indonesia: implication for public health promotion. Front Nutr. 9:981204. doi:10.3389/fnut.2022.981204.
   PubMed Web of Science ®Google Scholar
• Razak AA, Mansor NA, Razak RA, Nawi NMM, Yusoff AM, Din N. 2020. Changing awareness about health behavior: a study among young instagram users. TJBS. 15(1):19–22.
   Google Scholar
• Stewart C. 2022. Obesity in Europe - statistics & facts. https://www.statista.com/topics/9419/obesity-in-europe/#topicOverview
   Google Scholar
• Wadden TA, Tronieri JS, Butryn ML. 2020. Lifestyle modification approaches for the treatment of obesity in adults. Am Psychol. 75(2):235–251. doi:10.1037/amp0000517.
   PubMed Web of Science ®Google Scholar
• Wang HW, Chen DR. 2018. Economic recession and obesity-related internet search behavior in taiwan: analysis of google trends data. JMIR Public Health Surveill. 4(2):e37. doi:10.2196/publichealth.7314.
   PubMedGoogle Scholar
• World Health Organization. 2021. Obesity and overweight. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
   Google Scholar
• World Health Organization. 2022. WHO european regional obesity report 2022. https://apps.who.int/iris/bitstream/handle/10665/353747/9789289057738-eng.pdf
   Google Scholar
• World Obesity. 2022. World obesity atlas. https://www.worldobesity.org/resources/resource-library/world-obesity-atlas-2022
   Google Scholar
• Zabia AHM, Chua SK. 2020. Knowledge, health-related behaviour, and attitudes towards obesity among adult with obese and non-obese. Healthscope: the Official Research Book of Faculty of Health Sciences. UİTM. 3(1):12–16.
   Google Scholar
• Zhu J, Wang X, Qin J, Wu L. 2012. Assessing public opinion trends based on user search queries: validity, reliability, and practicality. In: 65th Annual Conference of the World Association for Public Opinion Research; China.
   Google Scholar