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1.
BMC Public Health ; 24(1): 1256, 2024 May 07.
Article in English | MEDLINE | ID: mdl-38714969

ABSTRACT

OBJECTIVES: Exposure to cigarette smoke introduces a large amount of nicotine into the bloodstream through the lungs. So, smoking can be a risk factor for many diseases. The present study was conducted to investigate the effect of active and passive cigarette smoke on the blood lipid profile and dyslipidemia. METHODS: This cross-sectional study was performed on 5052 individuals who participated in the recruitment phase of the Shahedieh cohort study. A logistic regression model was used to investigate the relationship between smoking exposure status and lipid profiles. RESULTS: The prevalence of abnormal low-density lipoprotein-cholesterol (LDL-C), abnormal HDL-C, abnormal total cholesterol (TC), abnormal triglyceride (TG), and dyslipidemia were 254 (5.00%), 562 (11.10%), 470 (9.30%), 1008 (20.00%), and 1527 (30.20%), respectively. Adjusting for confounders, it was observed that current smokers had higher odds of having abnormal HDL-C [OR (95% CI), 2.90 (2.28-3.69)], abnormal TG [OR (95% CI), 1.71 (1.38-2.13)] and dyslipidemia [OR (95% CI), 1.86 (1.53-2.25)]. Ex-smokers also had greater odds of abnormal HDL-C [OR (95% CI), 1.51 (1.06-2.16)] compared to non-smokers who were not exposed to cigarette smoke. CONCLUSIONS: The findings indicated that current smokers had higher TG and lower HDL. So, necessary measures should be taken to reduce smoking. The findings also showed that the prevalence of abnormal TG and HDL in ex-smokers was lower than in current smokers. Therefore, the existence of incentive policies to quit smoking seems necessary.


Subject(s)
Dyslipidemias , Lipids , Tobacco Smoke Pollution , Humans , Male , Female , Cross-Sectional Studies , Adult , Middle Aged , Tobacco Smoke Pollution/adverse effects , Tobacco Smoke Pollution/statistics & numerical data , Tobacco Smoke Pollution/analysis , Dyslipidemias/epidemiology , Lipids/blood , Iran/epidemiology , Cohort Studies , Risk Factors , Cigarette Smoking/epidemiology , Smoking/epidemiology , Triglycerides/blood , Cholesterol, HDL/blood , Prevalence
2.
Front Public Health ; 12: 1354980, 2024.
Article in English | MEDLINE | ID: mdl-38694973

ABSTRACT

Introduction: Non-compliance with smoke-free law is one of the determinants of untimely mortality and morbidity globally. Various studies have been conducted on non-compliance with smoke-free law in public places in different parts of the world; however, the findings are inconclusive and significantly dispersed. Moreover, there is a lack of internationally representative data, which hinders the evaluation of ongoing international activities towards smoke-free law. Therefore, this meta-analysis aimed to assess the pooled prevalence of non-compliance with smoke-free law in public places. Methods: International electronic databases, such as PubMed/MEDLINE, Science Direct, Cochrane Library, CINAHL, African Journals Online, HINARI, Semantic Scholar, google and Google Scholar were used to retrieve the relevant articles. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA) guidelines. The Higgs I2 statistics were used to determine the heterogeneity of the reviewed articles. The random-effects model with a 95% confidence interval was carried out to estimate the pooled prevalence of non-compliance. Results: A total of 23 articles with 25,573,329 study participants were included in this meta-analysis. The overall pooled prevalence of non-compliance with smoke-free law was 48.02% (95% CI: 33.87-62.17). Extreme heterogeneity was observed among the included studies (I2 = 100%; p < 0.000). The highest non-compliance with smoke-free law was noted in hotels (59.4%; 95% CI: 10.5-108.3) followed by homes (56.8%; 95% CI: 33.2-80.4), with statistically significant heterogeneity. Conclusion: As the prevalence of non-compliance with smoke-free law is high in public places, it calls for urgent intervention. High non-compliance was found in food and drinking establishments and healthcare facilities. In light of these findings, follow-up of tobacco-free legislation and creating awareness that focused on active smokers particularly in food and drinking establishments is recommended.


Subject(s)
Smoke-Free Policy , Humans , Smoke-Free Policy/legislation & jurisprudence , Global Health/legislation & jurisprudence , Tobacco Smoke Pollution/legislation & jurisprudence , Tobacco Smoke Pollution/prevention & control , Public Facilities/legislation & jurisprudence , Public Facilities/statistics & numerical data , Prevalence
3.
BMJ Open ; 14(5): e075105, 2024 May 08.
Article in English | MEDLINE | ID: mdl-38719299

ABSTRACT

OBJECTIVES: Incomplete combustion of solid fuel and exposure to secondhand smoke (SHS) are the primary causes of indoor air pollution (IAP), potentially leading to detrimental effects on individual mental health. However, current evidence regarding the association between IAP and depression remains inconclusive. This study aims to systematically investigate the evidence regarding the association between IAP and the risk of depression. DESIGN: Systematic review and meta-analysis of cohort studies. DATA SOURCES: Two independent reviewers searched PubMed, the Cochrane Library, Web of Science and EMBASE for available studies published up to 13 January 2024. ELIGIBILITY CRITERIA: We included all cohort studies published in English that aimed to explore the relationship between IAP from solid fuel use and SHS exposure and the risk of depression. DATA EXTRACTION AND SYNTHESIS: Two independent reviewers extracted data and assessed the risk of bias. The association between IAP and depression was calculated using pooled relative risk (RR) with 95% CIs. Heterogeneity was assessed using the I2 value, and the effect estimates were pooled using fixed-effects or random-effects models depending on the results of homogeneity analysis. RESULTS: We included 12 articles with data from 61 217 participants. The overall findings demonstrated a significant association between IAP exposure and depression (RR=1.22, 95% CI: 1.13 to 1.31), although with substantial heterogeneity (I2=75%). Subgroup analyses based on pollutant type revealed that IAP from solid fuel use was associated with a higher risk of depression (RR=1.20, 95% CI: 1.13 to 1.26; I2=62%; 5 studies, 36 768 participants) than that from SHS exposure (RR=1.11, 95% CI: 0.87 to 1.41; I2=80%; 7 studies, 24 449 participants). In terms of fuel use, the use of solid fuel for cooking (RR: 1.23, 95% CI: 1.16 to 1.31; I2=58%; 4 studies, 34 044 participants) and heating (RR 1.15, 95% CI: 1.04 to 1.27; I2=65%; 3 studies, 24 874 participants) was associated with increased depression risk. CONCLUSIONS: The findings from this systematic review and meta-analysis of cohort studies indicated an association between exposure to IAP and depression. PROSPERO REGISTRATION NUMBER: CRD42022383285.


Subject(s)
Air Pollution, Indoor , Depression , Humans , Air Pollution, Indoor/adverse effects , Depression/epidemiology , Tobacco Smoke Pollution/adverse effects , Cohort Studies , Environmental Exposure/adverse effects
4.
Int J Mol Sci ; 25(9)2024 Apr 30.
Article in English | MEDLINE | ID: mdl-38732159

ABSTRACT

The receptor for advanced glycation end-products (RAGE) has a central function in orchestrating inflammatory responses in multiple disease states including chronic obstructive pulmonary disease (COPD). RAGE is a transmembrane pattern recognition receptor with particular interest in lung disease due to its naturally abundant pulmonary expression. Our previous research demonstrated an inflammatory role for RAGE following acute exposure to secondhand smoke (SHS). However, chronic inflammatory mechanisms associated with RAGE remain ambiguous. In this study, we assessed transcriptional outcomes in mice exposed to chronic SHS in the context of RAGE expression. RAGE knockout (RKO) and wild-type (WT) mice were delivered nose-only SHS via an exposure system for six months and compared to control mice exposed to room air (RA). We specifically compared WT + RA, WT + SHS, RKO + RA, and RKO + SHS. Analysis of gene expression data from WT + RA vs. WT + SHS showed FEZ1, Slpi, and Msln as significant at the three-month time point; while RKO + SHS vs. WT + SHS identified cytochrome p450 1a1 and Slc26a4 as significant at multiple time points; and the RKO + SHS vs. WT + RA revealed Tmem151A as significant at the three-month time point as well as Gprc5a and Dynlt1b as significant at the three- and six-month time points. Notable gene clusters were functionally analyzed and discovered to be specific to cytoskeletal elements, inflammatory signaling, lipogenesis, and ciliogenesis. We found gene ontologies (GO) demonstrated significant biological pathways differentially impacted by the presence of RAGE. We also observed evidence that the PI3K-Akt and NF-κB signaling pathways were significantly enriched in DEGs across multiple comparisons. These data collectively identify several opportunities to further dissect RAGE signaling in the context of SHS exposure and foreshadow possible therapeutic modalities.


Subject(s)
Lung , Mice, Knockout , Receptor for Advanced Glycation End Products , Tobacco Smoke Pollution , Transcriptome , Animals , Receptor for Advanced Glycation End Products/metabolism , Receptor for Advanced Glycation End Products/genetics , Mice , Lung/metabolism , Lung/pathology , Lung/drug effects , Tobacco Smoke Pollution/adverse effects , Mice, Inbred C57BL , Signal Transduction/drug effects , Gene Expression Regulation/drug effects , Male , Gene Expression Profiling
5.
Environ Health Perspect ; 132(5): 57007, 2024 May.
Article in English | MEDLINE | ID: mdl-38771935

ABSTRACT

BACKGROUND: Estimates for the effects of environmental exposures on health outcomes, including secondhand smoke (SHS) exposure, often present considerable variability across studies. Knowledge of the reasons behind these differences can aid our understanding of effects in specific populations as well as inform practices of combining data from multiple studies. OBJECTIVES: This study aimed to assess the presence of effect modification by measured sociodemographic characteristics on the effect of SHS exposure during pregnancy on birth weights that may drive differences observed across cohorts. We also aimed to quantify the extent to which differences in the cohort mean effects observed across cohorts in the Environmental influences on Child Health Outcomes (ECHO) consortium are due to differing distributions of these characteristics. METHODS: We assessed the presence of effect modification and transportability of effect estimates across five ECHO cohorts in a total of 6,771 mother-offspring dyads. We assessed the presence of effect modification via gradient boosting of regression trees based on the H-statistic. We estimated individual cohort effects using linear models and targeted maximum likelihood estimation (TMLE). We then estimated transported effects from one cohort to each of the remaining cohorts using a robust nonparametric estimation approach relying on TMLE estimators and compared them to the original effect estimates for these cohorts. RESULTS: Observed effect estimates varied across the five cohorts, ranging from significantly lower birth weight associated with exposure [-167.3g; 95% confidence interval (CI): -270.4, -64.1] to higher birth weight with wide CIs, including the null (42.4g; 95% CI: -15.0, 99.8). Transported effect estimates only minimally explained differences in the point estimates for two out of the four cohort pairs. DISCUSSION: Our findings of weak to moderate evidence of effect modification and transportability indicate that unmeasured individual-level and contextual factors and sources of bias may be responsible for differences in the effect estimates observed across ECHO cohorts. https://doi.org/10.1289/EHP13961.


Subject(s)
Birth Weight , Tobacco Smoke Pollution , Humans , Pregnancy , Tobacco Smoke Pollution/statistics & numerical data , Female , Cohort Studies , Maternal Exposure/statistics & numerical data , Adult , Infant, Newborn , Prenatal Exposure Delayed Effects/epidemiology , Environmental Exposure/statistics & numerical data , Male
6.
Sci Rep ; 14(1): 11061, 2024 05 14.
Article in English | MEDLINE | ID: mdl-38745032

ABSTRACT

While smoking is widely acknowledged as a risk factor for rheumatoid arthritis (RA), the connection between secondhand smoke (SHS) exposure and RA in never-smoking adults remains limited and inconsistent. This study aims to explore and quantify this association using serum cotinine levels. We conducted a cross-sectional study with 14,940 adults who self-report as never smokers, using National Health and Nutrition Examination Survey data from 1999 to 2018. Based on previous literature, SHS exposure was categorized into four groups according to serum cotinine levels. Compared to individuals in the unexposed group (serum cotinine < 0.05 ng/mL), the adjusted odds ratio (OR) for RA was 1.37 (95% CI 1.14-1.64, p = 0.001) in the low exposure group (serum cotinine at 0.05 to 0.99 ng/mL) after adjusting for covariates. However, no significant association was found in the moderate exposure group (serum cotinine at 1 to 10 ng/mL) or the heavy exposure group (serum cotinine ≥ 10 ng/mL). Furthermore, we detected a non-linear, positively saturated correlation between the cotinine levels after log2 transformation and RA, with a turning point at approximately - 2.756 ng/mL (OR = 1.163, 95% CI 1.073-1.261, p = 0.0002). The stability of the results was confirmed by subgroup analysis.


Subject(s)
Arthritis, Rheumatoid , Cotinine , Nutrition Surveys , Tobacco Smoke Pollution , Humans , Tobacco Smoke Pollution/adverse effects , Arthritis, Rheumatoid/blood , Male , Female , Cross-Sectional Studies , Cotinine/blood , Middle Aged , Adult , United States/epidemiology , Risk Factors , Aged
7.
BMJ Open ; 14(5): e083874, 2024 May 15.
Article in English | MEDLINE | ID: mdl-38749682

ABSTRACT

INTRODUCTION: Prenatal and postnatal exposure to environmental tobacco smoke (ETS) has been linked with early childhood caries (ECC), but the specific molecular mechanisms and pathways remain largely unknown. The Caries Risk from exposure to Environmental tobacco Smoke (CARES) within the Household Air Pollution Intervention Network (HAPIN) study aims to establish the association between ETS and ECC by employing epidemiological and novel biomarker-based approaches. Here, we outline the overall design and rationale of the project. METHODS AND ANALYSIS: We will leverage the infrastructure and data from the HAPIN trial (India) to mount the CARES study. In this ambidirectional cohort study, children (n=735, aged: 3-5 years) will undergo ECC examination by a trained dentist using standard criteria and calibrated methods. Structured questionnaires will be used to gather information on sociodemographic variables, dietary habits, oral hygiene, oral health-related quality of life and current exposure to ETS. We will collect non-invasive or minimally invasive biospecimens (i.e., saliva, buccal cells, dried blood spots and urine) from a subset of HAPIN children (n=120) to assess a battery of biomarkers indicative of exposure to ETS, early biological effect and epigenetic modifications. Both self-reported and objective measures of ETS exposure collected longitudinally during in utero and early postnatal periods will be accessed from the HAPIN database. We will apply current science data techniques to assess the association and interrelationships between ETS, ECC, and multiple biomarkers. ETHICS AND DISSEMINATION: Information gathered in this research will be published in peer-reviewed journals and summaries will be shared with the key stakeholders as well as patients and their parents/guardians involved in this study. Sri Ramachandra Institute of Higher Education and Research Ethics Board has approved the study protocol (IEC-NI22/JUL/83/82). TRIAL REGISTRATION NUMBER: NCT02944682.


Subject(s)
Dental Caries , Tobacco Smoke Pollution , Humans , Tobacco Smoke Pollution/adverse effects , Dental Caries/etiology , Dental Caries/epidemiology , Dental Caries/prevention & control , Child, Preschool , Female , India/epidemiology , Male , Cohort Studies , Biomarkers/blood , Research Design , Pregnancy , Prenatal Exposure Delayed Effects , Environmental Exposure/adverse effects , Risk Factors
8.
BMJ Open ; 14(5): e073527, 2024 May 15.
Article in English | MEDLINE | ID: mdl-38749695

ABSTRACT

OBJECTIVE: To estimate the association between secondhand smoke (SHS) exposure and serum sex hormone concentrations in female adults (never smokers and former smokers). DESIGN: Cross-sectional analysis. SETTING: US National Health and Nutrition Examination Survey, 2013-2016. OUTCOME MEASURES: Serum sex hormone measures included total testosterone (TT) and oestradiol (E2), sex hormone-binding globulin (SHBG), the ratio of TT and E2 and free androgen index (FAI). Isotope dilution-liquid chromatography tandem mass spectrometry was used to measure serum TT and E2. SHBG was measured using immunoassay. The ratio of TT and E2 and FAI were calculated. SHS exposure was defined as serum cotinine concentration of 0.05-10 ng/mL. PARTICIPANTS: A total of 622 female participants aged ≥20 years were included in the analysis. RESULTS: For never smokers, a doubling of serum cotinine concentration was associated with a 2.85% (95% CI 0.29% to 5.47%) increase in TT concentration and a 6.29% (95% CI 0.68% to 12.23%) increase in E2 in fully adjusted models. The never smokers in the highest quartile (Q4) of serum cotinine level exhibited a 10.30% (95% CI 0.78% to 20.72%) increase in TT concentration and a 27.75% (95% CI 5.17% to 55.17%) increase in E2 compared with those in the lowest quartile (Q1). For former smokers, SHBG was reduced by 4.36% (95% CI -8.47% to -0.07%, p for trend=0.049) when the serum cotinine level was doubled, and the SHBG of those in Q4 was reduced by 17.58% (95% CI -31.33% to -1.07%, p for trend=0.018) compared with those in Q1. CONCLUSION: SHS was associated with serum sex hormone concentrations among female adults. In never smokers, SHS was associated with increased levels of TT and E2. In former smokers, SHS was associated with decreased SHBG levels.


Subject(s)
Cotinine , Estradiol , Nutrition Surveys , Sex Hormone-Binding Globulin , Tobacco Smoke Pollution , Humans , Female , Tobacco Smoke Pollution/adverse effects , Tobacco Smoke Pollution/statistics & numerical data , Cross-Sectional Studies , Adult , Cotinine/blood , United States/epidemiology , Middle Aged , Sex Hormone-Binding Globulin/analysis , Sex Hormone-Binding Globulin/metabolism , Estradiol/blood , Testosterone/blood , Young Adult , Gonadal Steroid Hormones/blood , Tandem Mass Spectrometry
9.
BMC Public Health ; 24(1): 1339, 2024 May 17.
Article in English | MEDLINE | ID: mdl-38760724

ABSTRACT

INTRODUCTION: Stroke is a life-threatening condition that causes a major medical burden globally. The currently used methods for the prevention or prediction of stroke have certain limitations. Exposure to tobacco in early life, including smoking during adolescence and maternal smoking during pregnancy, can affect adolescent development and lead to several negative outcomes. However, the association between early-life tobacco exposure and stroke is not known. METHODS: In this prospective cohort study, for the analyses involving exposure to maternal smoking during pregnancy and age of smoking initiation, we included 304,984 and 342,893 participants, respectively., respectively from the UK Biobank. Cox proportional hazard regression model and subgroup analyses were performed to investigate the association between early-life tobacco exposure and stroke. Mediation analyses were performed to identify the mediating role of biological aging in the association between early tobacco exposure and stroke. RESULTS: Compared with participants whose mothers did not smoke during pregnancy, participants whose mothers smoked during pregnancy showed an 11% increased risk of stroke (HR: 1.11, 95% CI: 1.05-1.18, P < 0.001). Compared with participants who never smoked, participants who smoked during adulthood, adolescence and childhood showed a 22%, 24%, and 38% increased risk of stroke during their adulthood, respectively. Mediation analysis indicated that early-life tobacco exposure can cause stroke by increasing biological aging. CONCLUSION: This study reveals that exposure to tobacco during early life is associated with an increased risk of experiencing a stroke, and increased biological aging can be the underlying mechanism.


Subject(s)
Biological Specimen Banks , Stroke , Tobacco Smoke Pollution , Humans , Female , Prospective Studies , United Kingdom/epidemiology , Male , Stroke/epidemiology , Stroke/etiology , Tobacco Smoke Pollution/adverse effects , Tobacco Smoke Pollution/statistics & numerical data , Pregnancy , Adult , Middle Aged , Prenatal Exposure Delayed Effects/epidemiology , Risk Factors , Proportional Hazards Models , Adolescent , Aged , UK Biobank
10.
NPJ Prim Care Respir Med ; 34(1): 11, 2024 May 16.
Article in English | MEDLINE | ID: mdl-38755181

ABSTRACT

Tobacco control policies can protect child health. We hypothesised that the parallel introduction in 2008 of smoke-free restaurants and bars in the Netherlands, a tobacco tax increase and mass media campaign, would be associated with decreases in childhood wheezing/asthma, respiratory tract infections (RTIs), and otitis media with effusion (OME) presenting in primary care. We conducted an interrupted time series study using electronic medical records from the Dutch Integrated Primary Care Information database (2000-2016). We estimated step and slope changes in the incidence of each outcome with negative binomial regression analyses, adjusting for underlying time-trends, seasonality, age, sex, electronic medical record system, urbanisation, and social deprivation. Analysing 1,295,124 person-years among children aged 0-12 years, we found positive step changes immediately after the policies (incidence rate ratio (IRR): 1.07, 95% CI: 1.01-1.14 for wheezing/asthma; IRR: 1.16, 95% CI: 1.13-1.19 for RTIs; and IRR: 1.24, 95% CI: 1.14-1.36 for OME). These were followed by slope decreases for wheezing/asthma (IRR: 0.95/year, 95% CI: 0.93-0.97) and RTIs (IRR: 0.97/year, 95% CI: 0.96-0.98), but a slope increase in OME (IRR: 1.05/year, 95% CI: 1.01-1.09). We found no clear evidence of benefit of changes in tobacco control policies in the Netherlands for the outcomes of interest. Our findings need to be interpreted with caution due to substantial uncertainty in the pre-legislation outcome trends.


Subject(s)
Asthma , Primary Health Care , Respiratory Sounds , Respiratory Tract Infections , Humans , Child, Preschool , Infant , Primary Health Care/statistics & numerical data , Female , Male , Netherlands/epidemiology , Child , Respiratory Tract Infections/epidemiology , Respiratory Tract Infections/prevention & control , Asthma/epidemiology , Smoke-Free Policy/legislation & jurisprudence , Infant, Newborn , Interrupted Time Series Analysis , Tobacco Smoke Pollution/prevention & control , Otitis Media/epidemiology , Incidence , Tobacco Control
11.
Front Public Health ; 12: 1320863, 2024.
Article in English | MEDLINE | ID: mdl-38818444

ABSTRACT

Background: The rise in e-cigarette use among youth is a significant global public health issue. It is important to identify those at increased risk and implement effective strategies to reduce e-cigarette popularity among the youth. Objective: This study aims to identify predictors of e-cigarette uptake in youths with no prior tobacco use, considering individual, familial and the broader societal environmental factors. Methods: For this investigation, a group of 2,487 tobacco-free youths was selected from 15 high schools in Shenzhen, China. Susceptibility to e-cigarettes was determined by assessing the possibility of future use and the openness to trying e-cigarettes if presented by friends. Both chi-square tests and logistic regression were applied to identify factors linked to susceptibility to e-cigarette use. Results: Among the respondents, 5.5% (n = 136) were found to be susceptible to e-cigarette use. The analysis revealed factors tied to this risk: perceptions of e-cigarettes, the impact of vaping peers, paternal parenting styles, the extent of social support, exposure to messages both for and against e-cigarettes use, and secondhand smoke (SHS) exposure. Youths who downplayed the addictive nature of e-cigarettes (aOR = 2.01; 95% CI: 1.14-3.55; p = 0.016), those with friends who engaged in vaping (aOR = 3.43-7.64; 95%CI: 2.36-20.42; p < 0.001), those experiencing over-protective or rejective maternal parenting (aOR = 1.68-3.01; 95%CI: 1.11-5.77; p = 0.001-0.014) or rejective paternal parenting (aOR = 3.63; 95%CI: 1.99-6.59; p < 0.001), those aware of e-cigarette advertisements (aOR = 1.82; 95%CI: 1.28-2.60; p = 0.001), and those exposed to SHS at home (aOR = 1.68; 95%CI: 1.17-2.41; p = 0.005) or at public places (aOR = 1.72-1.79; 95%CI: 1.21-2.57; p = 0.002-0.003) were more prone to e-cigarettes. In contrast, youths who believed using e-cigarettes reduces one's attractiveness (aOR = 0.34; 95%CI: 0.16-0.72; p = 0.005) or perceived that vaping made social interactions less enjoyable (aOR = 0.26; 95%CI: 0.12-0.58; p = 0.001), those who benefited from high social support (aOR = 0.30-0.60; 95%CI: 0.17-0.97; p < 0.001), and those who noticed message about e-cigarettes' adverse consequence (aOR = 0.54; 95%CI: 0.38-0.77; p = 0.001) were less likely to be inclined toward e-cigarette use. Conclusion: The propensity of the youth to e-cigarette usage is shaped by a multiple element. An all-encompassing strategy that addresses the individual, familial, and the broader societal aspects is imperative for the effective prevention of e-cigarette initiation among youth.


Subject(s)
Electronic Nicotine Delivery Systems , Vaping , Humans , China/epidemiology , Male , Adolescent , Female , Cross-Sectional Studies , Vaping/epidemiology , Electronic Nicotine Delivery Systems/statistics & numerical data , Surveys and Questionnaires , Peer Group , Tobacco Smoke Pollution/statistics & numerical data
12.
Public Health Res Pract ; 34(1)2024 Apr 04.
Article in English | MEDLINE | ID: mdl-38569574

ABSTRACT

OBJECTIVES: People living in subsidised low-income housing are more likely to smoke and experience secondhand smoke exposure compared to the general population. While tobacco control interventions have yielded substantial population health benefits, people living in subsidised housing experience a greater burden of tobacco-related harms. We synthesised existing peer-reviewed and grey literature to determine tobacco control interventions that have been implemented in subsidised housing globally, and to understand their impact on smoking and secondhand smoke exposure. METHODS: We searched five databases for peer-reviewed research, and Google Advanced for grey literature. We adhered to the JBI Scoping Review Methodology and Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. RESULTS: Fifty-seven sources met the eligibility criteria. The most common type of intervention was mandatory smoking bans covering all indoor spaces (n = 32), followed by cessation-focused interventions (n = 19). Interventions that indirectly addressed smoking were the least common (n = 6). Our findings suggest smoking bans can increase smoking cessation and reduce secondhand smoke exposure, especially if implemented alongside cessation support strategies. CONCLUSION: Tobacco control interventions targeting subsidised housing demonstrate positive effects on tobacco-related outcomes for residents and provide an important opportunity to address health disparities. Future research should examine the long-term impacts of the interventions, including potential unintended consequences, in varied subsidised housing contexts.


Subject(s)
Smoke-Free Policy , Smoking Cessation , Tobacco Smoke Pollution , Humans , Housing , Tobacco Smoke Pollution/prevention & control , Poverty
13.
Int J Epidemiol ; 53(3)2024 Apr 11.
Article in English | MEDLINE | ID: mdl-38604675

ABSTRACT

BACKGROUND: Epidemiological studies have shown inconsistent results regarding the link between smoking and breast cancer risk, despite the biological plausibility of a positive association. METHODS: Participants were 166 611 women from nine prospective cohort studies in Japan which launched in 1984-1994 and followed for 8-22 years. Information on smoking and secondhand smoke was obtained through self-administered baseline questionnaires. Breast cancer was defined as code C50 according to the International Classification of Diseases for Oncology, 3rd Edition or the International Classification of Diseases, 10th Revision. After adjusting for several potential confounders, relative risks for breast cancer were calculated in the individual studies according to the current or previous status of active and passive smoking using Cox regression, followed by a summary estimate of hazard ratios using random-effects meta-analyses. RESULTS: Of the 60 441 participants who reported being premenopausal and 106 170 who reported being postmenopausal at baseline, 897 and 1168 developed breast cancer during follow-up, respectively. Compared with never smokers, current smokers had a higher risk of developing breast cancer before the age of 50 years. In addition, ever smokers who started smoking at 30 years of age or younger, or who started smoking before first childbirth, had a higher risk of developing breast cancer before the age of 50 years. No association between adulthood or childhood exposure to secondhand smoke and breast cancer was observed. CONCLUSION: Smoking may increase the risk of premenopausal breast cancer, and smoking earlier in life might be especially harmful. The impact of secondhand smoke needs further investigation.


Subject(s)
Breast Neoplasms , Tobacco Smoke Pollution , Humans , Female , Adult , Child , Middle Aged , Breast Neoplasms/epidemiology , Breast Neoplasms/etiology , Tobacco Smoke Pollution/adverse effects , Risk Factors , Prospective Studies , Japan/epidemiology
14.
Environ Health ; 23(1): 37, 2024 Apr 13.
Article in English | MEDLINE | ID: mdl-38609912

ABSTRACT

BACKGROUND: Prenatal or early childhood secondhand tobacco smoke (SHS) exposure increases obesity risk. However, the potential mechanisms underlying this association are unclear, but obesogenic eating behaviors are one pathway that components of SHS could perturb. Our aim was to assess associations of prenatal and early childhood SHS exposure with adolescent eating behaviors. METHODS: Data came from a prospective pregnancy and birth cohort (N = 207, Cincinnati, OH). With multiple informant models, we estimated associations of prenatal (mean of 16 and 26 weeks of gestation maternal serum cotinine concentrations) and early childhood cotinine (average concentration across ages 12, 24, 36, and 48 months) with eating behaviors at age 12 years (Child Eating Behaviors Questionnaire). We tested whether associations differed by exposure periods and adolescent's sex. Models adjusted for maternal and child covariates. RESULTS: We found no statistically significant associations between cotinine measures and adolescent's eating behaviors. Yet, in females, prenatal cotinine was associated with greater food responsiveness (ß: 0.23; 95% CI: 0.08, 0.38) and lower satiety responsiveness (ß: -0.14; 95% CI: -0.26, -0.02); in males, prenatal and postnatal cotinine was related to lower food responsiveness (prenatal: ß: -0.25; 95% CI: -0.04, -0.06; postnatal: ß: -0.36; 95% CI: -0.06, -0.11). No significant effect modification by sex or exposure window was found for other eating behaviors. CONCLUSION: Prenatal and early childhood SHS exposures were not related to adolescent's eating behavior in this cohort; however, biological sex may modify these associations.


Subject(s)
Cotinine , Tobacco Smoke Pollution , Adolescent , Child , Female , Male , Pregnancy , Humans , Child, Preschool , Prospective Studies , Tobacco Smoke Pollution/adverse effects , Birth Cohort , Feeding Behavior
15.
J Epidemiol Popul Health ; 72(2): 202520, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38579395

ABSTRACT

OBJECTIVE: This article looks at the evaluation of smoke-free (SF) and tobacco-free (TF) university campus policies that ban smoking (and often vaping) both indoors and outdoors. To assess the effectiveness of these policies, we performed a systematic literature review to answer the following questions: what is the effect of SF/TF policies on campus users' behaviors/norms/perceptions around smoking? Are the SF/TF policies an effective measure for reducing smoking among young adults? What methods and indicators can we use to assess the impact of SF/TF campus policies? What is the theoretical model underpinning the influence of SF/TF policies on the behavior of campus users? METHODS: Three databases (PubMed, Scopus, and Web of Science) were searched over the period from January 2005 to December 2022. The article selection process included 54 articles published in scientific journals that analyzed the post-implementation impact of SF/TF campus policies. The quality of these articles was analyzed using six ad hoc indicators based on the Critical Appraisal Skills Program checklist and Joanna Briggs Institute scoping tools. RESULTS: Most of the research on SF/TF campus policies has been conducted in the United States using quantitative methodologies. Most of these studies show that SF/TF policies reduce positive beliefs about smoking and its acceptability, influence smoking behavior (reducing smoking initiation and increasing the number of quits and quit attempts), and reduce exposure to passive smoking and pollution from cigarette butts. User acceptability of SF/TF policies is generally high. Limitations of SF/TF campus policies include difficulty for smokers to comply with them, persistence of passive smoking around campuses, and limited uptake of on-campus cessation support services provided to smokers. DISCUSSION: The various mediating and moderating variables identified in the literature have made it possible to propose a model of the potential influence of SF/TF policy on campus users, based on the theory of planned behavior. Based on this review, we provide health professionals and higher education institutions wishing to implement a SF/TF campus policy with a set of indicators that can serve to assess the impact of a SF/TF campus policy (attitudes, acceptability, beliefs, norms, exposure to passive smoking and pollution, changes in smoking behavior). CONCLUSION: Based on scientific evidence, the implementation of SF/TF campus policies in France is an important measure to help combat smoking in young adults.


Subject(s)
Smoke-Free Policy , Tobacco Products , Tobacco Smoke Pollution , Young Adult , Humans , United States , Universities , Attitude
16.
BMC Public Health ; 24(1): 1127, 2024 Apr 23.
Article in English | MEDLINE | ID: mdl-38654247

ABSTRACT

BACKGROUND: Tobacco use causes over eight million global deaths annually, with seven million directly attributed to tobacco use and 1.2 million to second hand smoke (SHS). Smoke-free environments are crucial to counter SHS. Although India banned smoking in public places in 2008, SHS exposure remains high. Studies have noted that limiting smoking in workplaces, restaurants, etc., helps to reduce overall smoking and reduce SHS exposure. Under this background, the study explores the linkages between smoke-free workplaces and living in smoke-free homes in India. METHODS: The two rounds of the GATS India (2009-10 and 2016-17) have been used for the study. The study focuses on male tobacco smokers working indoors or outdoors or both indoors and outdoors. The sample for the study was 2,969 for GATS 1 and 2,801 for GATS 2. Dependent variables include living in a smoke-free home, while the independent variables were adherence to a smoke-free office policy and socio-demographic variables. The two rounds of the GATS data were pooled for analysis. Statistical analysis involves bivariate and multivariate analysis. RESULTS: Findings reveal that 41% of respondents worked in smoke-free workplaces in GATS 2. Nationally, smoke-free homes increased from 35% in 2009-2010 to 44% in 2016-17. Individuals with smoke-free workplaces were more likely to have smoke-free homes. The Southern region consistently exhibited the highest proportion of smoke-free homes. Urban areas and higher education correlated with increased smoke-free homes. Logistic regression analysis confirmed that workplace smoke-free status is a significant predictor of smoke-free homes. In GATS 2, respondents aged 30 years and above were less likely to have smoke-free homes, while education and Southern region residence positively influenced smoke-free homes. CONCLUSIONS: The correlation between smoke-free workplaces and smoke-free homes is linked to stringent workplace no-smoking policies, potentially deterring individuals from smoking at home. Opportunities exist for the expansion and stringent implementation of the smoke-free policies among Indian working adults, leveraging the workplace as a key setting for evidence-based tobacco control. The study highlights positive trends in India's smoke-free homes, crediting workplace policies. Effective policies, education, and regional strategies can advance smoke-free homes, stressing the pivotal role of workplace policies and advocating broader implementation.


Subject(s)
Smoke-Free Policy , Tobacco Smoke Pollution , Workplace , Humans , Male , India/epidemiology , Adult , Tobacco Smoke Pollution/prevention & control , Middle Aged , Home Environment , Young Adult , Adolescent
17.
BMJ Open ; 14(4): e082734, 2024 Apr 15.
Article in English | MEDLINE | ID: mdl-38626965

ABSTRACT

OBJECTIVE: Buddhist novices reside in Buddhist temples, which are legally designated as smoke-free areas. Nevertheless, similar to other men in their age group, they are susceptible to various risk factors that lead to smoking. This digital survey aimed to examine tobacco smoking and its associated factors among Buddhist novices in Thailand. DESIGN: A cross-sectional digital survey. SETTING: 88 temple-based schools in Thailand. PARTICIPANTS: A stratified two-stage cluster sampling method was employed to select 5371 novices. Data were collected between June and August 2022 using self-administered electronic questionnaires. MEASURE: Descriptive statistics and multivariable logistic regression analysis were used to identify the associated factors. RESULTS: Overall, 32.8% of the respondents reported they had tried smoking, and the average age of initiation was 12.4 years. In the past 30 days, 25.7% had smoked any tobacco product. Multiple factors following the ecological model of health behaviour were found to be statistically associated with smoking by 37.3%. Among these were intrapersonal-level factors, such as age, living in the southern region and attempted smoking. Two were interpersonal-level factors: the smoking behaviour of close relatives, specifically parents, and their respected monks. Two were institutional-level factors: perceiving that temple-based schools are smoke-free areas and exposure to secondhand smoke. Three factors at the community and policy levels were noticed tobacco advertising at the point of sale, social media and tobacco promotion. CONCLUSION: The findings of this study support the development of comprehensive intervention programmes that address the multiple factors to prevent Buddhist novices from smoking.


Subject(s)
Smoking , Tobacco Smoke Pollution , Male , Humans , Child , Cross-Sectional Studies , Thailand , Surveys and Questionnaires , Smoking/epidemiology , Health Behavior , Nicotiana
18.
BMJ Open ; 14(4): e074928, 2024 Apr 19.
Article in English | MEDLINE | ID: mdl-38642999

ABSTRACT

OBJECTIVES: This study aimed to assess the desire for smoke-free housing, determine the choice of smoke-free policies for multiunit housing (MUH), and identify the factors associated with policy choice among MUH residents in Bangladesh. DESIGN: We conducted a cross-sectional study from April to November 2019 using a semi-structured survey questionnaire. SETTING: This study was conducted in seven divisional cities of Bangladesh: Dhaka, Chattogram, Rajshahi, Khulna, Sylhet, Barishal, and Rangpur. PARTICIPANTS: A total of 616 adult individuals living in MUH for at least 2 years participated in the study. PRIMARY OUTCOME MEASURE: Multinomial logistic regression was used to identify the determinants of the choice of smoke-free policies for MUH. RESULTS: Overall, 94.8% of the respondents wanted smoke-free housing. Among those who wanted smoke-free housing, 44.9% preferred a smoke-free building policy, 28.3% preferred a smoke-free common area policy, 20.2% favoured a smoke-free unit policy, and 6.7% did not know what policy they should choose. Three factors were found to be significantly associated with the choice of a smoke-free building policy: staying at home for more than 12 hours (adjusted OR (aOR): 2.6; 95% CI 1.035 to 6.493), being a non-smoker (aOR: 3.2; 95% CI 1.317 to 7.582), and having at least one family member who smoked (aOR: 3.0; 95% CI 1.058 to 8.422). Results also showed that residents having at least one child under 15 in the family (aOR: 0.3; 95% CI 0.152 to 0.778) were less likely to choose a smoke-free common area policy and that women (aOR: 3.7; 95% CI 1.024 to 13.188) were more likely to choose a smoke-free unit policy. CONCLUSIONS: MUH residents in urban Bangladesh highly demanded smoke-free housing. Most residents favoured a smoke-free building policy for MUH. Those who stayed at home for a longer time, were non-smokers, and had smoking family members were more likely to choose this policy.


Subject(s)
Smoke-Free Policy , Tobacco Smoke Pollution , Adult , Child , Humans , Female , Housing , Cross-Sectional Studies , Bangladesh , Tobacco Smoke Pollution/prevention & control
20.
Article in English | MEDLINE | ID: mdl-38673401

ABSTRACT

BACKGROUND: Pregnant women exposed to second-hand smoke (SHS) are at increased risk of poor birth outcomes. We piloted multicomponent behavioural intervention and trial methods in Bangalore, India, and Comilla, Bangladesh. METHODS: A pilot individual randomised controlled trial with economic and process evaluation components was conducted. Non-tobacco-using pregnant women exposed to SHS were recruited from clinics and randomly allocated to intervention or control (educational leaflet) arms. The process evaluation captured feedback on the trial methods and intervention components. The economic component piloted a service use questionnaire. The primary outcome was saliva cotinine 3 months post-intervention. RESULTS: Most pregnant women and many husbands engaged with the intervention and rated the components highly, although the cotinine report elicited some anxiety. Forty-eight (Comilla) and fifty-four (Bangalore) women were recruited. The retention at 3 months was 100% (Comilla) and 78% (Bangalore). Primary outcome data were available for 98% (Comilla) and 77% (Bangalore). CONCLUSIONS: The multicomponent behavioural intervention was feasible to deliver and was acceptable to the interventionists, pregnant women, and husbands. With the intervention, it was possible to recruit, randomise, and retain pregnant women in Bangladesh and India. The cotinine data will inform sample size calculations for a future definitive trial.


Subject(s)
Tobacco Smoke Pollution , Humans , Female , Pregnancy , Bangladesh , India , Tobacco Smoke Pollution/prevention & control , Pilot Projects , Adult , Cotinine/analysis , Young Adult , Saliva/chemistry , Male , Behavior Therapy/methods
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