| Literature DB >> 32478163 |
Ignacio de Loyola González-Salgado1, Jesús Rivera-Navarro1, Xisca Sureda2,3,4,5, Manuel Franco2,3,6.
Abstract
Smoke-free legislations aim to protect non-smokers from second-hand smoke (SHS) exposure and improve population health outcomes. The aim of this study was to explore residents' perceptions to understand how people living in distinctive SES neighborhoods are differently affected by comprehensive smoke-free laws in a large city like Madrid, Spain. We conducted a qualitative project with 37 semi-structured interviews and 29 focus group discussions in three different SES neighborhoods within the city of Madrid. Constructivist grounded theory was used to analyze the transcripts. One core category arose in our analyses: Neighborhood inequalities in second-hand smoke (SHS) exposure in outdoor places. The enactment of the comprehensive smoke-free law resulted in unintended consequences that affected neighborhoods differently: relocation of smokers to outdoor setting, SHS exposure, noise disturbance and cigarette butt littering. Changes in the urban environment in the three neighborhoods resulted in the denormalization of smoking in outdoor public places, which was more clearly perceived in the high SES neighborhood. Changes in the built environment in outdoor areas of hospitality venues were reported to actually facilitate smoking. Comprehensive smoke-free laws resulted in denormalization of smoking, which might be effective in reducing SHS exposure. Extending smoking bans to outdoor areas like bus stops and hospitality venues is warranted and should include a public health inequalities perspective.Entities:
Keywords: Health inequality; Neighborhood socioeconomic status; Qualitative research; Second-hand smoke; Smoke-free legislation
Year: 2020 PMID: 32478163 PMCID: PMC7251368 DOI: 10.1016/j.ssmph.2020.100597
Source DB: PubMed Journal: SSM Popul Health ISSN: 2352-8273
Number of participants, socio-demographic characteristics and smoking status per neighborhood.
| High SES neighborhood | Medium SES neighborhood | Low SES neighborhood | |
|---|---|---|---|
| 38 | 75 | 100 | |
| 40–49 | 15.7% | 28.0% | 27.0% |
| 50–59 | 36.8% | 34.7% | 36.0% |
| 60–69 | 21.1% | 21.3% | 26.0% |
| 70–79 | 23.7% | 16.0% | 9.0% |
| 80+ | 2.6% | 0% | 2.0% |
| Male | 44.7% | 33.3% | 43.0% |
| Female | 55.3% | 66.7% | 57.0% |
| Without studies | 0% | 0% | 4.0% |
| Primary school | 5.3% | 12.0% | 25.0% |
| Secondary school | 10.5% | 44.0% | 34.0% |
| College or further education | 10.5% | 22.7% | 20.0% |
| University education | 73.7% | 21.3% | 17.0% |
| Employed | 65.8% | 58.7% | 63.0% |
| Housewife | 5.3% | 2.7% | 4.0% |
| Unemployed | 0% | 9.3% | 10.0% |
| Retired | 28.9% | 29.3% | 23.0% |
| Non-smoker | 47.4% | 54.7% | 46.0% |
| Smoker | 18.4% | 25.3% | 33.0% |
| Former smoker | 23.7% | 17.3% | 19.0% |
| Former smoker who has participated in tobacco cessation programs | 10.5% | 2.7% | 2.0% |
Distribution of SSIs and FGDs in each studied neighborhood.
| Low SES neighborhood (San Diego) | Medium SES neighborhood (El Pilar) | High SES neighborhood (Nueva España) | |
|---|---|---|---|
| SSIs | 12 | 12 | 13 |
| FGDs | 14 | 11 | 4 |
Including two key informants per neighborhood.