Television Viewing Time and Risk of Incident Obesity and Central Obesity: the English Longitudinal Study of Ageing

Overview

Journal BMC Obes

Publisher Biomed Central

Date 2015 Jul 29

PMID 26217527

Citations 9

Authors

Lee Smith

Abigail Fisher

Mark Hamer

Affiliations

Soon will be listed here.

Abstract

Background: Research suggests television viewing time may be associated with incident obesity and central obesity in young adults. No study has investigated these associations in older English adults. The aim of this study was to investigate longitudinal associations between television viewing time and incident obesity and central obesity in a sample of older English adults. Analyses of data from the English Longitudinal Study of Ageing. At baseline (2008), participants reported their television viewing time. Research nurses recorded obesity and central obesity by body mass index and waist circumference, respectively, at four year follow-up. Associations between television viewing time and incident obesity (BMI > 30 kg/m(2)) and central obesity (waist >102 cm men; > 88 cm women) at four year follow-up were examined using adjusted logistic regression. Participants gave full written informed consent to participate in the study and ethical approval was obtained from the London Multicentre Research Ethics Committee.

Results: A total of 3777 initially non-obese participants (aged 64.8 ± 8.6 yrs, 46.4% male) were included in the analyses using BMI as an outcome and 2947 for the analyses using waist circumference. No significant associations were found between television viewing time and incident obesity. A significant association was found between watching ≥6 hrs/d of television (compared to <2 hrs/d) and central obesity (Odds Ratio 1.48; 95% confidence interval 1.07 to 2.03) after adjustment for covariables including physical activity.

Conclusions: In this sample of older community dwelling English adults greater television viewing time was associated with incident central obesity, but not total obesity when measured by BMI. Interventions to reduce the incidence of central obesity in this age group that focus on reducing TV time, as well as targeting other health behaviours (eg, increasing physical activity levels, improving dietary intake) might prove useful.

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References

Kesaniemi Y, DANFORTH Jr E, Jensen M, Kopelman P, Lefebvre P, Reeder B . Dose-response issues concerning physical activity and health: an evidence-based symposium. Med Sci Sports Exerc. 2001; 33(6 Suppl):S351-8. DOI: 10.1097/00005768-200106001-00003. View

Summerbell C, Douthwaite W, Whittaker V, Ells L, Hillier F, Smith S . The association between diet and physical activity and subsequent excess weight gain and obesity assessed at 5 years of age or older: a systematic review of the epidemiological evidence. Int J Obes (Lond). 2009; 33 Suppl 3:S1-92. DOI: 10.1038/ijo.2009.80. View

Smith L, Thomas E, Bell J, Hamer M . The association between objectively measured sitting and standing with body composition: a pilot study using MRI. BMJ Open. 2014; 4(6):e005476. PMC: 4067859. DOI: 10.1136/bmjopen-2014-005476. View

Peeters A, Barendregt J, Willekens F, Mackenbach J, Al Mamun A, Bonneux L . Obesity in adulthood and its consequences for life expectancy: a life-table analysis. Ann Intern Med. 2003; 138(1):24-32. DOI: 10.7326/0003-4819-138-1-200301070-00008. View

Foster J, Gore S, West D . Altering TV viewing habits: an unexplored strategy for adult obesity intervention?. Am J Health Behav. 2006; 30(1):3-14. DOI: 10.5555/ajhb.2006.30.1.3. View

Parsons T, Manor O, Power C . Television viewing and obesity: a prospective study in the 1958 British birth cohort. Eur J Clin Nutr. 2007; 62(12):1355-63. DOI: 10.1038/sj.ejcn.1602884. View

Gardner B, Iliffe S, Fox K, Jefferis B, Hamer M . Sociodemographic, behavioural and health factors associated with changes in older adults' TV viewing over 2 years. Int J Behav Nutr Phys Act. 2015; 11:102. PMC: 4149242. DOI: 10.1186/s12966-014-0102-3. View

Fontaine K, Redden D, Wang C, Westfall A, Allison D . Years of life lost due to obesity. JAMA. 2003; 289(2):187-93. DOI: 10.1001/jama.289.2.187. View

Lank N, VICKERY C, Cotugna N, Shade D . Food commercials during television soap operas: what is the nutrition message?. J Community Health. 1992; 17(6):377-84. DOI: 10.1007/BF01323999. View

10.

Ekelund U, Besson H, Luan J, May A, Sharp S, Brage S . Physical activity and gain in abdominal adiposity and body weight: prospective cohort study in 288,498 men and women. Am J Clin Nutr. 2011; 93(4):826-35. DOI: 10.3945/ajcn.110.006593. View

11.

Wijndaele K, Healy G, Dunstan D, Barnett A, Salmon J, Shaw J . Increased cardiometabolic risk is associated with increased TV viewing time. Med Sci Sports Exerc. 2010; 42(8):1511-8. DOI: 10.1249/MSS.0b013e3181d322ac. View

12.

Cournot M, Ruidavets J, Marquie J, Esquirol Y, Baracat B, Ferrieres J . Environmental factors associated with body mass index in a population of Southern France. Eur J Cardiovasc Prev Rehabil. 2004; 11(4):291-7. DOI: 10.1097/01.hjr.0000129738.22970.62. View

13.

Seidell J, Visscher T . Body weight and weight change and their health implications for the elderly. Eur J Clin Nutr. 2000; 54 Suppl 3:S33-9. DOI: 10.1038/sj.ejcn.1601023. View

14.

Burkhauser R, Cawley J . Beyond BMI: the value of more accurate measures of fatness and obesity in social science research. J Health Econ. 2008; 27(2):519-29. DOI: 10.1016/j.jhealeco.2007.05.005. View

15.

Williams P, Pate R . Cross-sectional relationships of exercise and age to adiposity in 60,617 male runners. Med Sci Sports Exerc. 2005; 37(8):1329-37. DOI: 10.1249/01.mss.0000174894.05236.45. View

16.

Hamer M, Stamatakis E . Screen-based sedentary behavior, physical activity, and muscle strength in the English longitudinal study of ageing. PLoS One. 2013; 8(6):e66222. PMC: 3670922. DOI: 10.1371/journal.pone.0066222. View

17.

Hamer M, Lavoie K, Bacon S . Taking up physical activity in later life and healthy ageing: the English longitudinal study of ageing. Br J Sports Med. 2013; 48(3):239-43. PMC: 3913225. DOI: 10.1136/bjsports-2013-092993. View

18.

Crawford D, Jeffery R, French S . Television viewing, physical inactivity and obesity. Int J Obes Relat Metab Disord. 1999; 23(4):437-40. DOI: 10.1038/sj.ijo.0800845. View

19.

Steptoe A, Breeze E, Banks J, Nazroo J . Cohort profile: the English longitudinal study of ageing. Int J Epidemiol. 2012; 42(6):1640-8. PMC: 3900867. DOI: 10.1093/ije/dys168. View

20.

Katz S, Downs T, CASH H, Grotz R . Progress in development of the index of ADL. Gerontologist. 1970; 10(1):20-30. DOI: 10.1093/geront/10.1_part_1.20. View