A systematic review and network meta-analysis of population-level interventions to tackle smoking behaviour

Nat Hum Behav. 2024 Dec;8(12):2367-2391. doi: 10.1038/s41562-024-02002-7. Epub 2024 Oct 7.

Abstract

This preregistered systematic review and meta-analysis (PROSPERO: CRD 42022311392) aimed to synthesize the effectiveness of all available population-level tobacco policies on smoking behaviour. Our search across 5 databases and leading organizational websites resulted in 9,925 records, with 476 studies meeting our inclusion criteria. In our narrative summary and both pairwise and network meta-analyses, we identified anti-smoking campaigns, health warnings and tax increases as the most effective tobacco policies for promoting smoking cessation. Flavour bans and free/discounted nicotine replacement therapy also showed statistically significant positive effects on quit rates. The network meta-analysis results further indicated that smoking bans, anti-tobacco campaigns and tax increases effectively reduced smoking prevalence. In addition, flavour bans significantly reduced e-cigarette consumption. Both the narrative summary and the meta-analyses revealed that smoking bans, tax increases and anti-tobacco campaigns were associated with reductions in tobacco consumption and sales. On the basis of the available evidence, anti-tobacco campaigns, smoking bans, health warnings and tax increases are probably the most effective policies for curbing smoking behaviour.

Publication types

  • Systematic Review
  • Meta-Analysis

MeSH terms

  • Health Promotion / methods
  • Humans
  • Network Meta-Analysis
  • Smoking / economics
  • Smoking / epidemiology
  • Smoking Cessation* / methods
  • Smoking Prevention / economics
  • Smoking Prevention / methods
  • Taxes