본문 바로가기
KERD
논문KCI 등재

Social Network Characteristics and Body Mass Index in an Elderly Korean Population

1

조회

0

다운로드

5

인용

0

참고문헌

키워드

초록

Objectives: Research has shown that obesity appears to spread through social ties. However, the association between other characteristics of social networks and obesity is unclear. This study aimed to identify the association between social network characteristics and body mass index (BMI, kg/m2) in an elderly Korean population. Methods: This cross-sectional study analyzed data from 657 Koreans (273 men, 384 women) aged 60 years or older who participated in the Korean Social Life, Health, and Aging Project. Network size is a count of the number of friends. Density of communication network is the number of connections in the social network reported as a fraction of the total links possible in the personal (ego-centric) network. Average frequency of communication (or meeting) measures how often network members communicate (or meet) each other. The association of each social network measure with BMI was investigated by multiple linear regression analysis. Results: After adjusting for potential confounders, the men with lower density (<0.71) and higher network size (4-6) had the higher BMI (β=1.089, p=0.037) compared to the men with higher density (>0.83) and lower size (1-2), but not in the women (p=0.393). The lowest tertile of communication frequency was associated with higher BMI in the women (β=0.885, p=0.049), but not in the men (p=0.140). Conclusions: Our study suggests that social network structure (network size and density) and activation (communication frequency and meeting frequency) are associated with obesity among the elderly. There may also be gender differences in this association.

Abstract

Objectives: Research has shown that obesity appears to spread through social ties. However, the association between other characteristics of social networks and obesity is unclear. This study aimed to identify the association between social network characteristics and body mass index (BMI, kg/m2) in an elderly Korean population. Methods: This cross-sectional study analyzed data from 657 Koreans (273 men, 384 women) aged 60 years or older who participated in the Korean Social Life, Health, and Aging Project. Network size is a count of the number of friends. Density of communication network is the number of connections in the social network reported as a fraction of the total links possible in the personal (ego-centric) network. Average frequency of communication (or meeting) measures how often network members communicate (or meet) each other. The association of each social network measure with BMI was investigated by multiple linear regression analysis. Results: After adjusting for potential confounders, the men with lower density (<0.71) and higher network size (4-6) had the higher BMI (β=1.089, p=0.037) compared to the men with higher density (>0.83) and lower size (1-2), but not in the women (p=0.393). The lowest tertile of communication frequency was associated with higher BMI in the women (β=0.885, p=0.049), but not in the men (p=0.140). Conclusions: Our study suggests that social network structure (network size and density) and activation (communication frequency and meeting frequency) are associated with obesity among the elderly. There may also be gender differences in this association.

참고문헌 (40)

  1. Cassel J., "The contribution of the social environment to host resistance: the Fourth Wade Hampton Frost Lecture", Am J Epidemiol, 104(2), pp.107~123 (1976)
  2. Cobb S., "Presidential Address-1976. Social support as a moderator of life stress", Psychosom Med, 38(5), pp.300~314 (1976)
  3. Berkman LF, "Social networks, host resistance, and mortality: a nine-year follow-up study of Alameda County residents", Am J Epidemiol, 109(2), pp.186~204 (1979)
  4. Blazer DG, "Social support and mortality in an elderly community population", Am J Epidemiol, 115(5), pp.684~694 (1982)
  5. House JS, "The association of social relationships and activities with mortality: prospective evidence from the Tecumseh Community Health Study", Am J Epidemiol, 116(1), pp.123~140 (1982)
  6. Haslam DW, "Obesity", Lancet, 366(9492), pp.1197~1209 (2005)
  7. Helleringer S, "Sexual network structure and the spread of HIV in Africa: evidence from Likoma Island, Malawi", AIDS, 21(17), pp.2323~2332 (2007)
  8. Laumann EO, "Racial", ethnic group differences in the prevalence of sexually transmitted diseases in the United States: a network explanation, 1999, pp.26(5), 250~261
  9. Liljeros F, "The web of human sexual contact", Nature, 411(6840), pp.907~908 (2001)
  10. Klovdahl AS, "Networks and tuberculosis: an undetected community outbreak involving public places", Soc Sci Med, 52(5), pp.681~694 (2001)
  11. Mettikolla P, "Cross-bridge kinetics in myofibrils containing familial hypertrophic cardiomyopathy R58Q mutation in the regulatory light chain of myosin", J Theor Biol, 284(1), pp.71~81 (2011)
  12. Ancel Meyers L, "Applying network theory to epidemics: control measures for Mycoplasma pneumoniae outbreaks", Emerg Infect Dis, 9, pp.204~210 (2003)
  13. Rosenquist JN, "Social network determinants of depression", Mol Psychiatry, 16(3), pp.273~281 (2011)
  14. Bearman PS, "Suicide and friendships among American adolescents", Am J Public Health, 94(1), pp.89~95 (2004)
  15. Fowler JH, "Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study", BMJ, 337, pp.2338~ (2008)
  16. Berkman LF, "Social epidemiology", pp.145~149 (2000), Oxford University Press
  17. Van Gaal LF, "Mechanisms linking obesity with cardiovascular disease", Nature, 444(7121), pp.875~880 (2006)
  18. Christakis NA, "The spread of obesity in a large social network over 32 years", N Engl J Med, 357(4), pp.370~379 (2007)
  19. Fowler JH, "Estimating peer effects on health in social networks: a response to Cohen-Cole and Fletcher; and Trogdon, Nonnemaker, and Pais", J Health Econ, 27(5), pp.1400~1405 (2008)
  20. Halliday TJ, "Weight gain in adolescents and their peers", Econ Hum Biol, 7(2), pp.181~190 (2009)
  21. Renna F, "The effect of friends on adolescent body weight", Econ Hum Biol, 6(3), pp.377~387 (2008)
  22. Trogdon JG, "Peer effects in adolescent overweight", J Health Econ, 27(5), pp.1388~1399 (2008)
  23. Valente TW, "Adolescent affiliations and adiposity: a social network analysis of friendships and obesity", J Adolesc Health, 45(2), pp.202~204 (2009)
  24. Cornwell B, "Social Networks in the NSHAP Study: rationale, measurement, and preliminary findings", J Gerontol B Psychol Sci Soc Sci, 64(1), pp.47~i55 (2009)
  25. Valente TW, "Social networks and health: models, methods, and applications", pp.44~45 (2010), Oxford University Press
  26. Uchino BN, "Social support and health: a review of physiological processes potentially underlying links to disease outcomes", J Behav Med, 29(4), pp.377~387 (2006)
  27. Bahr DB, "Exploiting social networks to mitigate the obesity epidemic", Obesity (Silver Spring), 17(4), pp.723~728 (2009)
  28. Schlundt DG, "Obesity: a biogenetic or biobehavioral problem", J Obes, 14(9), pp.815~828 (1990)
  29. Kohl HW 3rd, "Development of physical activity behaviors among children and adolescents", Pediatrics, 101(3-2), pp.549~554 (1998)
  30. Haines J, "Prevention of obesity and eating disorders: a consideration of shared risk factors", Health Educ Res, 21(6), pp.770~782 (2006)
  31. Cullen KW, "Measurement characteristics of diet-related psychosocial questionnaires among African-American parents and their 8- to 10-year-old daughters: results from the Girls’ health Enrichment Multi-site Studies", Prev Med, 38, pp.34~S42 (2004)
  32. Eisenberg ME, "The role of social norms and friends’ influences on unhealthy weight-control behaviors among adolescent girls", Soc Sci Med, 60(6), pp.1165~1173 (2005)
  33. Kadushin C, "Understanding social networks: theories, concepts, and findings", pp.29~30 (2012), Oxford University Press
  34. Ross CE, "The links between education and health", Am Sociol Rev, 60(5), pp.719~745 (1995)
  35. Oliveira AJ, "The influence of social relationships on obesity: sex differences in a longitudinal study", Obesity (Silver Spring), 21(8), pp.1540~1547 (2013)
  36. Szklo M, "Epidemiology: beyond the basics", pp.211~212 (2007), Jones and Bartlett
  37. Zheng W, "Association between body-mass index and risk of death in more than 1 million Asians", N Engl J Med, 364(8), pp.719~729 (2011)
  38. Jee SH, "Body-mass index and mortality in Korean men and women", N Engl J Med, 355(8), pp.779~787 (2006)
  39. Manson JE, "Estimating the number of deaths due to obesity: can the divergent findings be reconciled?", J Womens Health (Larchmt), 16(2), pp.168~176 (2007)
  40. Lopez-Jimenez F, "Speakable and unspeakable facts about BMI and mortality", Lancet, 373(9669), pp.1055~1056 (2009)

관련 논문AI추천

이 간행물의 다른 논문 (7건)