Body Mass Index and the Literacy on Obesity in Relation to Media Following
Background: The aim of this study was to investigate the effects of TV, magazines, radio, and internet following on body mass index (BMI) and obesity-related literacy among adults
Methods: In this cross-sectional study, the subjects were recruited from an outpatient center in the city of Sombor, Serbia during Mar-Apr 2013. We collected data by a questionnaire from 657 (397 women; 59%) subjects, aged from 18 to 87 yr (Mean = 45; SD =14). The questionnaire consisted of personal data, body height and weight, frequency of television, radio, magazines and internet following and personal opinion on the impact of smoking, alcohol consumption, stress and physical inactivity on obesity.
Results: Spearman’s rank correlation analysis showed that BMI increased with longer TV viewing with a very weak strength of the correlation (r=0.104; P=0.009) and decreased with more internet following with a weak strength of the correlation (r=-0.200: P<0.001). Multiple linear regression analysis revealed that only internet use had a significant independent effect on BMI. The frequency rise of internet following from "rare" to "often" and "every day" decreased BMI by 0.5 per each grade. Internet followers showed a significantly better knowledge of the importance of smoking (P = 0.003), alcohol consumption (P<0.001) and physical inactivity (P=0.004) for obesity in comparison to non-followers.
Conclusion: Internet is the only media that independently and positively influence weight control and the literacy on obesity among adults.
Tsitsika AK, Andrie EK, Psaltopoulou T et al (2016). Association between problem-atic internet use, socio-demographic vari-ables, and obesity among European ado-lescents. Eur J Public Health, 26(4):617-22.
Zhang G, Wu L, Zhou L et al (2016). Tele-vision watching and risk of childhood obesity: a meta-analysis. Eur J Public Health, 26 (1):13-8.
Thorp AA, Owen N, Neuhaus M, Dunstan DW (2011). Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996-2011. Am J Prev Med, 41(2):207-15.
Grontved A, Hu FB (2011). Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. JAMA, 305 (23) :2448-55.
Sampasa-Kanyinga H, Chaput JP, Hamilton HA (2015). Associations between the use of social networking sites and unhealthy eating behaviours and excess body weight in adolescents. Br J Nutr, 114 (11):1941-7.
Basch CH, Hammond R, Ethan D, Samuel L (2014). Food advertisements in two popular U.S. parenting magazines: results of a five-year analysis. Glob J Health Sci, 6 (2):175-82.
Freeman B, Kelly B, Vandevijvere S, Baur L (2016) Young adults: beloved by food and drink marketers and forgotten by public health? Health Promot Int, 31(4):954-961.
Veerman JL, Van Beeck EF, Barendregt JJ, Mackenbach JP (2009). By how much would limiting TV food advertising re-duce childhood obesity? Eur J Public Health, 19(4):365-9.
Saperstein SL, Atkinson NL, Gold RS (2007). The impact of Internet use for weight loss. Obes Rev, 8(5):459-65.
The Patient Protection and Affordable Care Act. US. Department of Health and Hu-man Services. http://www.hhs.gov/sites/default/files/patient-protection.pdf
Jacobs RJ, Lou JQ, Ownby RL, Caballero J (2016). A systematic review of eHealth in-terventions to improve health literacy. Health Informatics J, 22(2):81-98.
Detmer DE (2003). Building the national health information infrastructure for personal health, health care services, public health, and research. BMC Med In-form Decis Mak, 3:1.
A Digital Agenda for Europe. Action 75: Give Europeans secure online access to their medical health data and achive widespread telemedicine deployment.
WHO (2007). Everybody’s Business. Strenghtening Health Systems to Improve Health Outcomes. WHO’s Frame for Action. WHO. Geneva, Switzerland. http://www.who.int/healthsystems/strategy/everybodys_business.pdf
Hung M, Conrad J, Hon SD et al (2013). Uncovering patterns of technology use in consumer health informatics. WIREs Comput Stat, 5(6):432-447.
James DC, Harville C, Efunbumi O, Martin MY (2015). Health literacy issues sur-rounding weight management among Af-rican American women: a mixed meth-ods study. J Hum Nutr Diet, 28 Suppl 2:41-9.
Protheroe J, Whittle R, Bartlam B et al (2017). Health literacy, associated lifestyle and demographic factors in adult popula-tion of an English city: a cross-sectional survey. Health Expect, 20(1):112-119.
Krul AJ, Daanen HA, Choi H (2011). Self-reported and measured weight, height and body mass index (BMI) in Italy, the Netherlands and North America. Eur J Public Health, 21(4):414-9.
|Issue||Vol 47 No 8 (2018)|
|Body mass index Obesity Literacy Internet|
|Rights and permissions|
|This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.|