Literature DB >> 26610078

Dynamic impact of social stratification and social influence on smoking prevalence by gender: An agent-based model.

Dingding Chao1, Hideki Hashimoto2, Naoki Kondo2.   

Abstract

Smoking behavior is tightly related to socioeconomic status and gender, though the dynamic and non-linear association of smoking prevalence across socioeconomic status and gender groups has not been fully examined. With a special focus on gender-bound differences in the susceptibility to social influence of surrounding others' behaviors, we developed an agent-based model to explore how socioeconomic disparity between and within gender groups affects changes in smoking prevalence. Our developed base model reasonably reproduced the actual trend changes by gender groups over the past 5 years in Japan. Counterfactual experiments with the developed model revealed that closing within- and between-gender disparities in socioeconomic status had a limited impact on reducing smoking prevalence. To the contrary, greater socioeconomic disparity facilitated the reduction in prevalence among males, but it impeded that reduction in females. The counterfactual scenario with equalizing gender-bound susceptibility to social influence among women to men's level showed a dramatic reduction in female prevalence without changing the reduction in male prevalence. Simulation results may provide alternative explanation of the growing disparity in smoking prevalence despite improved welfare equality observed in many developed countries, and suggest that redistribution policies may have side effects of widening health gap. Instead, social policy to reduce social pressures to smoking and support interventions to enhance resilience to the pressure targeting the vulnerable population (in this study, women) would be a more effective strategy in combating the tobacco epidemic and closing the health gap.
Copyright © 2015. Published by Elsevier Ltd.

Entities:  

Keywords:  Agent-based model; Gender difference; Smoking; Social influence; Social stratification

Mesh:

Year:  2015        PMID: 26610078     DOI: 10.1016/j.socscimed.2015.08.041

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  7 in total

1.  Modeling the Effects of E-cigarettes on Smoking Behavior: Implications for Future Adult Smoking Prevalence.

Authors:  Sarah T Cherng; Jamie Tam; Paul J Christine; Rafael Meza
Journal:  Epidemiology       Date:  2016-11       Impact factor: 4.822

2.  Agent-based Modeling in Tobacco Regulatory Science: Exploring 'What if' in Waterpipe Smoking.

Authors:  Yong Yang; Kenneth D Ward; Ramzi G Salloum; Eric N Lindblom
Journal:  Tob Regul Sci       Date:  2020-05

3.  Distinct association between educational attainment and overweight/obesity in unmarried and married women: evidence from a population-based study in Japan.

Authors:  Keiko Murakami; Takayoshi Ohkubo; Hideki Hashimoto
Journal:  BMC Public Health       Date:  2017-11-25       Impact factor: 3.295

Review 4.  Agent-Based Modeling in Public Health: Current Applications and Future Directions.

Authors:  Melissa Tracy; Magdalena Cerdá; Katherine M Keyes
Journal:  Annu Rev Public Health       Date:  2018-01-12       Impact factor: 21.981

5.  Socioeconomic Inequalities in Oral Health Among Unmarried and Married Women: Evidence From a Population-Based Study in Japan.

Authors:  Keiko Murakami; Takayoshi Ohkubo; Hideki Hashimoto
Journal:  J Epidemiol       Date:  2018-03-24       Impact factor: 3.211

6.  Social influence of e-cigarette smoking prevalence on smoking behaviours among high-school teenagers: Microsimulation experiments.

Authors:  Dingding Chao; Hideki Hashimoto; Naoki Kondo
Journal:  PLoS One       Date:  2019-08-29       Impact factor: 3.240

7.  Agent-Based Modeling for Implementation Research: An Application to Tobacco Smoking Cessation for Persons with Serious Mental Illness.

Authors:  Wanyu Huang; Chia-Hsiu Chang; Elizabeth A Stuart; Gail L Daumit; Nae-Yuh Wang; Emma E McGinty; Faith B Dickerson; Takeru Igusa
Journal:  Implement Res Pract       Date:  2021-04-29
  7 in total

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