Literature DB >> 18499567

The collective dynamics of smoking in a large social network.

Nicholas A Christakis1, James H Fowler.   

Abstract

BACKGROUND: The prevalence of smoking has decreased substantially in the United States over the past 30 years. We examined the extent of the person-to-person spread of smoking behavior and the extent to which groups of widely connected people quit together.
METHODS: We studied a densely interconnected social network of 12,067 people assessed repeatedly from 1971 to 2003 as part of the Framingham Heart Study. We used network analytic methods and longitudinal statistical models.
RESULTS: Discernible clusters of smokers and nonsmokers were present in the network, and the clusters extended to three degrees of separation. Despite the decrease in smoking in the overall population, the size of the clusters of smokers remained the same across time, suggesting that whole groups of people were quitting in concert. Smokers were also progressively found in the periphery of the social network. Smoking cessation by a spouse decreased a person's chances of smoking by 67% (95% confidence interval [CI], 59 to 73). Smoking cessation by a sibling decreased the chances by 25% (95% CI, 14 to 35). Smoking cessation by a friend decreased the chances by 36% (95% CI, 12 to 55 ). Among persons working in small firms, smoking cessation by a coworker decreased the chances by 34% (95% CI, 5 to 56). Friends with more education influenced one another more than those with less education. These effects were not seen among neighbors in the immediate geographic area.
CONCLUSIONS: Network phenomena appear to be relevant to smoking cessation. Smoking behavior spreads through close and distant social ties, groups of interconnected people stop smoking in concert, and smokers are increasingly marginalized socially. These findings have implications for clinical and public health interventions to reduce and prevent smoking. Copyright 2008 Massachusetts Medical Society.

Entities:  

Mesh:

Year:  2008        PMID: 18499567      PMCID: PMC2822344          DOI: 10.1056/NEJMsa0706154

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  17 in total

1.  Predictors of smoking cessation from adolescence into young adulthood.

Authors:  P H Chen; H R White; R J Pandina
Journal:  Addict Behav       Date:  2001 Jul-Aug       Impact factor: 3.913

2.  Social networks and collateral health effects.

Authors:  Nicholas A Christakis
Journal:  BMJ       Date:  2004-07-24

3.  Diffusion, cohort change, and social patterns of smoking().

Authors:  Fred C Pampel
Journal:  Soc Sci Res       Date:  2005-03

4.  On randomized controlled trials and lifestyle interventions.

Authors:  M Rosén
Journal:  Int J Epidemiol       Date:  1989-12       Impact factor: 7.196

5.  Regression analysis of longitudinal binary data with time-dependent environmental covariates: bias and efficiency.

Authors:  Jonathan S Schildcrout; Patrick J Heagerty
Journal:  Biostatistics       Date:  2005-05-25       Impact factor: 5.899

6.  The importance of peer effects, cigarette prices and tobacco control policies for youth smoking behavior.

Authors:  Lisa M Powell; John A Tauras; Hana Ross
Journal:  J Health Econ       Date:  2005-09       Impact factor: 3.883

7.  Evaluation of peer intervention training for high school alcohol safety education.

Authors:  A J McKnight; K McPherson
Journal:  Accid Anal Prev       Date:  1986-08

8.  The validity of self-reported smoking: a review and meta-analysis.

Authors:  D L Patrick; A Cheadle; D C Thompson; P Diehr; T Koepsell; S Kinne
Journal:  Am J Public Health       Date:  1994-07       Impact factor: 9.308

9.  Mortality after the hospitalization of a spouse.

Authors:  Nicholas A Christakis; Paul D Allison
Journal:  N Engl J Med       Date:  2006-02-16       Impact factor: 91.245

10.  The effects of peer counseling on smoking cessation and reduction.

Authors:  Carolyn S Malchodi; Cheryl Oncken; Ellen A Dornelas; Laura Caramanica; Elizabeth Gregonis; Stephen L Curry
Journal:  Obstet Gynecol       Date:  2003-03       Impact factor: 7.661

View more
  683 in total

1.  Exploring How Social Media Exposure and Interactions Are Associated With ENDS and Tobacco Use in Adolescents From the PATH Study.

Authors:  Patricia Cavazos-Rehg; Xiao Li; Erin Kasson; Nina Kaiser; Jacob T Borodovsky; Richard Grucza; Li-Shiun Chen; Laura J Bierut
Journal:  Nicotine Tob Res       Date:  2021-02-16       Impact factor: 4.244

2.  Affiliation Goals and Health Behaviors.

Authors:  Jerry Cullum; Megan O'Grady; Howard Tennen
Journal:  Soc Personal Psychol Compass       Date:  2011-10

3.  The AVPR1A gene and substance use disorders: association, replication, and functional evidence.

Authors:  Brion S Maher; Vladimir I Vladimirov; Shawn J Latendresse; Dawn L Thiselton; Rebecca McNamee; Moonsu Kang; Tim B Bigdeli; Xiangning Chen; Brien P Riley; John M Hettema; Howard Chilcoat; Christian Heidbreder; Pierandrea Muglia; E Lenn Murrelle; Danielle M Dick; Fazil Aliev; Arpana Agrawal; Howard J Edenberg; John Kramer; John Nurnberger; Jay A Tischfield; Bernie Devlin; Robert E Ferrell; Galina P Kirillova; Ralph E Tarter; Kenneth S Kendler; Michael M Vanyukov
Journal:  Biol Psychiatry       Date:  2011-04-22       Impact factor: 13.382

4.  Using Digital Crumbs from an Electronic Health Record to identify, study and improve health care teams.

Authors:  James E Gray; Henry Feldman; Shane Reti; Larry Markson; Xiaoning Lu; Roger B Davis; Charles A Safran
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 5.  Beyond fast food and slow motion: weighty contributors to the obesity epidemic.

Authors:  G Cizza; K I Rother
Journal:  J Endocrinol Invest       Date:  2011-12-15       Impact factor: 4.256

6.  Barriers to Quitting Smoking Among Young Adults: The Role of Socioeconomic Status.

Authors:  Samantha Carlson; Rachel Widome; Lindsey Fabian; Xianghua Luo; Jean Forster
Journal:  Am J Health Promot       Date:  2017-03-07

7.  Social support and amphetamine-type stimulant use among female sex workers in China.

Authors:  Qun Zhao; Yuchen Mao; Xiaoming Li; Yuejiao Zhou; Zhiyong Shen
Journal:  AIDS Care       Date:  2017-05-17

8.  Model of genetic variation in human social networks.

Authors:  James H Fowler; Christopher T Dawes; Nicholas A Christakis
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-26       Impact factor: 11.205

9.  I heard about it from a friend: assessing interest in buprenorphine treatment.

Authors:  Aaron D Fox; Pooja A Shah; Nancy L Sohler; Carolina M Lopez; Joanna L Starrels; Chinazo O Cunningham
Journal:  Subst Abus       Date:  2014       Impact factor: 3.716

10.  Current cigarette smoking among HIV-positive current and former drug users: associations with individual and social characteristics.

Authors:  Lauren R Pacek; Carl Latkin; Rosa M Crum; Elizabeth A Stuart; Amy R Knowlton
Journal:  AIDS Behav       Date:  2014-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.