Association of active and passive smoking with occupational injury in manual workers: a cross-sectional study of the 2011 Korean working conditions survey

This study was conducted to investigate the relationship of active and passive smoking with occupational injury among manual workers. Data from the 2011 Korean Working Conditions Survey were analyzed for 12,507 manual workers aged ≥15 yr. Overall, 60.4% of men and 5.8% of women were current smokers. The prevalence of injury was higher among never smokers who were exposed to secondhand smoke (SHS) (7.7% in men and 8.1% in women) than current smokers (4.2% in men and 4.1% in women). After controlling for potential confounders, in men, compared to those who never smoked and were not exposed to SHS, people who never smoked and were exposed to SHS (adjusted odds ratio (aOR)=3.7, 2.2–6.4) and current smokers (aOR=2.5, 1.6–3.8) were more likely to experience injury. Among women, the aORs of occupational injury were 8.4 (4.2–16.7) for never smoking women with occasional exposure to SHS and 3.5 (95% CI: 1.4–8.7) for current smokers, in comparison to never smoking women who were never exposed to SHS at work (reference group). The present study suggests that exposure to SHS is a possible risk factor of occupational injury for never smoking men and women.     

Active and passive smoking and risk of breast cancer by age 50 years among German women

Recent studies suggest that both active and passive smokers have an increased risk of breast cancer compared with women who have never been either actively or passively exposed. Data on lifetime active and passive smoking were collected in 1999-2000 from 468 predominantly premenopausal breast cancer patients diagnosed by age 50 years and 1,093 controls who had previously participated in a German case-control study conducted in 1992-1995. Compared with never active/passive smokers, former smokers and current smokers had odds ratios of 1.2 (95% confidence interval (CI): 0.8, 1.7) and 1.5 (95% CI: 1.0, 2.2), respectively, and ever active smokers had an odds ratio of 1.3 (95% CI: 0.9, 1.9). The risk increased with duration of smoking and decreased after cessation of smoking. Among never active smokers, ever passive smoking was associated with an odds ratio of 1.6 (95% CI: 1.1, 2.4). Exposure to environmental tobacco smoke during childhood or before the first pregnancy did not appear to increase breast cancer risk. At greatest risk were women who had a high level of exposure to both passive and active smoking (odds ratio = 1.8, 95% CI: 1.2, 2.7). This study strengthens the hypothesis of a causal relation between active and passive smoke exposures and breast cancer risk.     

Non-fatal occupational injury among active and passive smokers in small- and medium-scale manufacturing enterprises in Japan

Active smoking is a risk factor for occupational injury, whereas its association with passive smoking is unknown. To evaluate the contribution of active and passive smoking to non-fatal occupational injury in manufacturing sectors, 2302 randomly selected workers aged 16-83 years working in 244 small- and medium-scale enterprises in Yashio city, Japan, were surveyed by means of a self-administered questionnaire. Smoking history, exposure to passive smoking, and occupational injury were evaluated by self-report. Exposure levels to passive smoking were assessed separately at work and at home as never, occasional, or regular exposure. Overall, 61.4% of men and 22.3% of women were current smokers. Among never smokers, 62.2% of men and 68.6% of women reported exposure to passive smoking either at work or home. Prevalence of occupational injuries was 36.2% for never, 43.3% for former, and 41.2% for current smokers among men and 19.7% for never, 22.2% for former, and 25.2% for current smokers among women. Among never smoking men, odds ratios (ORs) of occupational injury were 2.11 when regularly exposed to passive smoking at work or at home (p=0.025), 2.27 at work (p=0.015), and 3.08 at home (p=0.106), in comparison to never smoking men who were never exposed to passive smoking either at work or at home (referent group). These associations were attenuated to be non-significant, after controlling for potential confounders. Never smoking men with occasional exposure to passive smoking were not significant ORs (1.11-1.19). In contrast, current and former smoking men had significant increases in adjusted ORs (1.57-2.00). In women exposed to smoking there was a non-significant increase in occupational injury. The present study indicates an expected increase in the risk of, occupational injury for current and former smoking men and suggests that exposure to passive smoking is a possible risk factor for never smoking men.     

Active and passive smoking in breast cancer: prospective results from the Nurses' Health Study

BACKGROUND: The role of active and passive smoking in breast cancer remains controversial. METHODS: Using data collected in the prospective Nurses' Health Study, we examined the influence of active and passive smoking on the incidence of invasive breast cancer. The analysis was based on women responding to the 1982 questionnaire, which included questions on passive smoking exposure. Information on active smoking was collected in biennial questionnaires. A total of 78,206 women were followed prospectively from 1982 until June 1996. RESULTS: Of these women, 3,140 reported a diagnosis of invasive breast cancer during follow-up. Compared with never active smoking, relative risks (RR) of breast cancer were 1.04 (95% CI = 0.94-1.15) for current active smoking and 1.09 (95% CI = 1.00-1.18) for past active smoking. The RR for regular passive exposure at work and at home was 0.90 (95% CI = 0.67-1.22). For active smoking, a modest increase in risk was confined to women who began smoking before the age of 17 (RR = 1.19; 95% CI = 1.03-1.37). CONCLUSION: Results suggest that passive smoking is unrelated to breast cancer. However, results for active smoking are compatible with a small increase in risk when smoking is initiated at young ages.     

Risk factors for exposure to environmental tobacco smoke among ethnically diverse women in the United States

The likelihood of exposure to environmental tobacco smoke (ETS) has been shown to vary across sociodemographic characteristics, health behaviors, and the type of smoking restrictions at work. Women may be particularly at risk. The purpose of our study was to assess differences in the likelihood of exposure to ETS at home and at work among an ethnically diverse sample of women age 40 and older in the United States. We used data from the U.S. Women's Determinants Study and restricted the sample to include only nonsmoking women (n = 2326). Unadjusted and adjusted odds ratios (aOR) for exposure to ETS by sociodemographic characteristics, health risk behaviors, and the type of workplace smoking policy were calculated using logistic regression. Exposure to ETS at home was associated with being American Indian/Alaska Native (aOR 1.5, 95% CI 1.0, 2.6), age 40-44 (aOR 1.6, 95% CI 1.0, 2.6) and 45-54 (aOR 1.8, 95% CI 1.2, 2.6), having eighth grade (aOR 2.1, 95% CI 1.3, 3.6) or high school education (aOR 2.2, 95% CI 1.4, 3.3), inadequate fruit and vegetable consumption (aOR 1.5, 95% CI 1.0, 2.1), and not getting screened for breast cancer (aOR 1.5, 95% CI 1.1, 2.0). Women who did not have regular breast (aOR 1.3, 95% CI 1.9, 1.9) and cervical (aOR 2.0, 95% CI 1.5, 5.3) cancer screening were more likely to be exposed to ETS at work. Exposure to ETS at work was higher among women with some high school education (aOR 2.8, 95% CI 1.5, 5.3) and high school graduates (aOR 3.1, 95% CI 1.9, 5.1) and substantially higher for women who worked where smoking was allowed in some (aOR 15.1, 95% CI 10.2, 22.4) or all (aOR 44.8, 95% CI 19.6, 102.4) work areas. Larger effect sizes were observed for the relationship between selected risk factors and ETS exposure at work than for ETS exposure at home. Among individual risk factors, lower education level was most strongly related to ETS exposure at work. The likelihood of being exposed to ETS at work was highest for women whose workplace smoking policies allowed smoking in some or all work areas.     

Active and passive cigarette smoke and breast cancer survival

PURPOSE: The association between active and passive cigarette smoking before breast cancer diagnosis and survival was investigated among a cohort of invasive breast cancer cases (n = 1273) participating in a population-based case-control study. METHODS: Participants diagnosed with a first primary breast cancer between August 1, 1996, and July 31, 1997, were followed-up until December 31, 2002, for all-cause mortality (n = 188 deaths), including breast cancer-specific mortality (n = 111), as reported to the National Death Index. RESULTS: In Cox models, the adjusted hazards ratios (HRs) for all-cause mortality were slightly higher among current and former active smokers, compared with never smokers (HR, 1.23; 95% confidence interval [95% CI], 0.83-1.84) and 1.19 (95% CI, 0.85-1.66), respectively). No association was found between active or passive smoking and breast cancer-specific mortality. All-cause and breast cancer-specific mortality was higher among active smokers who were postmenopausal (HR, 1.64; 95% CI, 1.03-2.60 and HR, 1.45; 95% CI, 0.78-2.70, respectively) or obese at diagnosis (HR, 2.10; 95% CI, 1.03-4.27 and HR, 1.97; 95% CI, 0.89-4.36, respectively). Associations between smoking and all-cause and breast cancer-specific mortality did not differ by cancer treatment. CONCLUSIONS: These data do not provide strong evidence for an association between smoking and all-cause or breast cancer-specific mortality, although smokers who are postmenopausal or obese at diagnosis may be at higher risk.     

Depressive symptoms and cigarette smoking among Latinos in San Francisco.

We administered the Center for Epidemiological Studies Depression (CES-D) Scale to 547 San Francisco Latinos as part of a random digit dialing telephone survey to evaluate smoking behavior. Both men and women current smokers had the highest mean CES-D levels (9.7 and 14.3, respectively). Logistic regression analysis adjusting for gender, acculturation, education, age, and employment showed that current smokers had an odds ratio of 1.7 (95% CI = 1.3, 2.2) for significant depressive symptoms compared to former smokers (OR = 1.1;95% CI = .8, 1.6) and never smokers (OR = 1).     

Relationships between self-reported smoking, household environmental tobacco smoke exposure and depressive symptoms in a pregnant minority population

This study sought to examine relationships between depressive symptoms and prenatal smoking and/or household environmental tobacco smoke exposure (HH-ETSE) among urban minority women. We analyzed private, audio computer-assisted self interview data from a clinic-based sample of 929 minority pregnant women in Washington, DC. Depressive symptoms were assessed via the Beck Depression Inventory Fast Screen. HH-ETSE, current smoking, and former smoking were assessed via self-report. Depression levels and demographic characteristics were compared: (1) among nonsmokers, for those reporting HH-ETSE versus no HH-ETSE; and (2) among smokers, for those reporting current smoking (in last 7 days) versus former smokers. Measures associated with HH-ETSE/current smoking in bivariate analysis at P < 0.20 were included in adjusted logistic regression models. HH-ETSE, as a possible indicator of a social smoking network, was assessed as a mediator for the relationship between depression and current smoking. Results: Non-smokers reporting moderate-to-severe depressive symptoms showed significantly higher adjusted odds of prenatal HH-ETSE (AOR 2.5, 95% CI [1.2, 5.2]). Smokers reporting moderate-to-severe or mild depressive symptoms showed significantly higher adjusted odds of current smoking (AOR 1.9, 95% CI [1.1, 3.5] and AOR 1.8, 95% CI [1.1, 3.1], respectively). Among smokers, HH-ETSE was a significant mediator for the association between moderate-to-severe symptoms and current smoking. In conclusion, health care providers should be aware that depressed urban minority women are at risk of continued smoking/HH-ETSE during pregnancy. Interventions designed to encourage behavior change should include screening for depression, and build skills so that women are better able to address the social environment.     

Active Smoking,Passive Smoking,and Risk of Nonalcoholic Fatty Liver Disease (NAFLD): A Population-Based Study in China

Background

The effect of active smoking on development of nonalcoholic fatty liver disease (NAFLD) is controversial, and there are limited clinical data on the relationship between passive smoking and NAFLD. We investigated whether active and passive smoking are associated with NAFLD.

Methods

A total of 8580 subjects (2691 men) aged 40 years or older participated in a community-based survey in Shanghai, China. Information on active and passive smoking was collected using a validated questionnaire. NAFLD was diagnosed by abdominal B-mode ultrasound testing and serum liver enzymes.

Results

NAFLD prevalence was 29.4% in never smokers, 34.2% in former smokers, 27.8% in light smokers (<20 cigarettes/day), 30.8% in moderate smokers (20–39 cigarettes/day), and 43.5% in heavy smokers (≥40 cigarettes/day). Fully adjusted logistic regression analyses revealed that, as compared with never smoking, former and heavy smoking were associated with increased risk of prevalent NAFLD, with odds ratios of 1.45 (95% CI 1.05–2.00) and 2.29 (95% CI 1.30–4.03), respectively. Active smoking and body mass index (BMI) had a synergistic effect on the risk of prevalent NAFLD; the combination of these risk factors was associated with the highest observed odds ratio for NAFLD: 8.58. In never-smoking women, passive smoking during both childhood and adulthood was associated with a 25% increase in the risk of prevalent NAFLD (OR = 1.25, 95% CI 1.05–1.50) as compared with no passive smoking.

Conclusions

Passive smoking and heavy active smoking are associated with prevalent NAFLD in middle-aged and elderly Chinese. Active smoking and BMI have a synergistic effect on prevalent NAFLD.Key words: active tobacco smoking, passive tobacco smoking, fatty liver     

Association of passive and active smoking with incident type 2 diabetes mellitus in the elderly population: the KORA S4/F4 cohort study

Active smoking is a risk factor for type 2 diabetes (T2DM), but it is unclear whether exposure to environmental tobacco smoke (ETS) is also associated with T2DM. The effect of passive and active smoking on the 7-year T2DM incidence was investigated in a population-based cohort in Southern Germany (KORA S4/F4; 1,223 subjects aged 55–74 years at baseline in 1999–2001, 887 subjects at follow-up). Incident diabetes was identified by oral glucose tolerance tests or by validated physician diagnoses. Among never smokers, subjects exposed to ETS had an increased diabetes risk in the total sample (odds ratio (OR) = 2.5; 95% confidence interval (CI): 1.1, 5.6) and in a subgroup of subjects having prediabetes at baseline (OR = 4.4; 95% CI: 1.5, 13.4) after adjusting for age, sex, parental diabetes, socioeconomic status, and lifestyle factors. Active smoking also had a statistically significant effect on diabetes incidence in the total sample (OR = 2.8; 95% CI: 1.3, 6.1) and in prediabetic subjects (OR = 7.8; 95% CI: 2.4, 25.7). Additional adjustment for components of the metabolic syndrome including waist circumference did not attenuate any of these associations. This study provides evidence that both passive and active smoking is associated with T2DM.     

Breast cancer and active and passive smoking: the role of the N-acetyltransferase 2 genotype

The association of breast cancer with passive and active smoking was investigated in slow and fast acetylators of aromatic amines in a Geneva, Switzerland, study in 1996-1997. A slow acetylator was homozygous for one, or heterozygous for two, of three N-acetyltransferase 2 (NAT2) polymorphisms determined on buccal cell DNA from 177 breast cancer cases and 170 age-matched, population controls. The reference group consisted of women never regularly exposed to active or passive smoke. Among premenopausal women, the odds ratios were homogeneous in slow and fast acetylators: 3.2 (95% confidence interval (CI): 1.2, 8.7) for passive smoking and 2.9 (95% CI: 1.1, 7.5) for active smoking. Among postmenopausal women, the odds ratios for fast acetylators were 11.6 (95% CI: 2.2, 62.2) for passive and 8.2 (95% CI: 1.4, 46.0) for active smoking; the corresponding effects were also apparent but less strong in slow acetylators. After the nonexposed and the passive smokers were grouped in a single reference category, active smoking was associated with postmenopausal breast cancer in slow acetylators (odds ratio (OR) = 2.5, 95% CI: 1.0, 6.2) but not in fast acetylators (OR = 1.3, 95% CI: 0.5, 3.3). Thus, the associations of both passive and active smoking with breast cancer appear stronger in fast than in slow NAT2 genotypes. Separating passive smokers from the nonexposed impacts on the inference about a possible NAT2-smoking interaction.     

Misclassification rates for current smokers misclassified as nonsmokers.

OBJECTIVES: This paper provides misclassification rates for current cigarette smokers who report themselves as nonsmokers. Such rates are important in determining smoker misclassification bias in the estimation of relative risks in passive smoking studies. METHODS: True smoking status, either occasional or regular, was determined for individual current smokers in 3 existing studies of nonsmokers by inspecting the cotinine levels of body fluids. The new data, combined with an approximately equal amount in the 1992 Environmental Protection Agency (EPA) report on passive smoking and lung cancer, yielded misclassification rates that not only had lower standard errors but also were stratified by sex and US minority majority status. RESULTS: The misclassification rates for the important category of female smokers misclassified as never smokers were, respectively, 0.8%, 6.0%, 2.8%, and 15.3% for majority regular, majority occasional, US minority regular, and US minority occasional smokers. Misclassification rates for males were mostly somewhat higher. CONCLUSIONS: The new information supports EPA''s conclusion that smoker misclassification bias is small. Also, investigators are advised to pay attention to minority/majority status of cohorts when correcting for smoker misclassification bias.     

A prospective cohort study of bladder cancer risk in relation to active cigarette smoking and household exposure to secondhand cigarette smoke

Active cigarette smoking is a major risk factor for bladder cancer. Secondhand exposure to cigarette smoke may also contribute to bladder carcinogenesis. The authors conducted a prospective cohort study to examine the influence of both active smoking and household exposure to secondhand smoke (SHS) on subsequent bladder cancer risk. The study population included persons from two cohorts established from private censuses conducted in Washington County, Maryland, in 1963 (n = 45,749; 93 cases) and 1975 (n = 48,172; 172 cases). Poisson regression models were fitted to estimate the relative risk of bladder cancer associated with active and passive smoke exposure in the two cohorts (referent category: never smokers who did not live with any smokers). Current smokers had an elevated risk of bladder cancer in both the 1963 cohort (relative risk (RR) = 2.7, 95% confidence limits (CL): 1.6, 4.7) and the 1975 cohort (RR = 2.6, 95% CL: 1.7, 3.9) after adjustment for age, education, and marital status. Among nonsmoking women, current household SHS exposure was associated with bladder cancer risk in the 1963 cohort (RR = 2.3, 95% CL: 1.0, 5.4) but not in the 1975 cohort (RR = 0.9, 95% CL: 0.4, 2.3). This study further solidifies the evidence that active smoking is causally associated with bladder cancer. Additional studies are needed to determine whether passive smoking is a risk factor for bladder cancer.     

基于倾向性评分法的藏族非吸烟人群被动吸烟暴露与失眠的关联研究

  目的  描述中国藏族非吸烟人群被动吸烟暴露与失眠症状的分布特征,探究被动吸烟暴露与失眠症状的关联程度。  方法  基于“西南区域自然人群队列”项目2018年5月―2019年8月在拉萨市调查的7 737名藏族居民数据,采用倾向性评分逆概率加权法和边际结构模型分析被动吸烟暴露与失眠症状的关联,并比较该关联在不同年龄、性别、BMI、负性生活事件、社会支持组别之间的差异。  结果  调查人群中被动吸烟暴露率为22.50%,失眠检出率为33.67%。利用倾向性评分均衡潜在混杂因素后,被动吸烟暴露组发生失眠症状的风险为非被动吸烟暴露组的1.24倍(OR=1.24, 95% CI: 1.14~1.34);年龄≥50岁(OR=1.25, 95% CI: 1.01~1.54)、男性(OR=1.60, 95% CI: 1.17~2.18)、超重(OR=1.24, 95% CI: 1.05~1.47)、有过1次负性生活事件(OR=1.46, 95% CI: 1.01~2.10)和中等社会支持(OR=1.46, 95% CI: 1.12~1.92)人群被动吸烟暴露与失眠有显著关联。  结论  在藏族非吸烟人群中被动吸烟暴露是失眠的危险因素,应该采取相关降低被动吸烟暴露的干预措施去促进人群睡眠健康。     

Relationships Between Self-Reported Smoking,Household Environmental Tobacco Smoke Exposure and Depressive Symptoms in a Pregnant Minority Population

This study sought to examine relationships between depressive symptoms and prenatal smoking and/or household environmental tobacco smoke exposure (HH-ETSE) among urban minority women. We analyzed private, audio computer-assisted self interview data from a clinic-based sample of 929 minority pregnant women in Washington, DC. Depressive symptoms were assessed via the Beck Depression Inventory Fast Screen. HH-ETSE, current smoking, and former smoking were assessed via self-report. Depression levels and demographic characteristics were compared: (1) among nonsmokers, for those reporting HH-ETSE versus no HH-ETSE; and (2) among smokers, for those reporting current smoking (in last 7 days) versus former smokers. Measures associated with HH-ETSE/current smoking in bivariate analysis at P < 0.20 were included in adjusted logistic regression models. HH-ETSE, as a possible indicator of a social smoking network, was assessed as a mediator for the relationship between depression and current smoking. Results: Non-smokers reporting moderate-to-severe depressive symptoms showed significantly higher adjusted odds of prenatal HH-ETSE (AOR 2.5, 95% CI [1.2, 5.2]). Smokers reporting moderate-to-severe or mild depressive symptoms showed significantly higher adjusted odds of current smoking (AOR 1.9, 95% CI [1.1, 3.5] and AOR 1.8, 95% CI [1.1, 3.1], respectively). Among smokers, HH-ETSE was a significant mediator for the association between moderate-to-severe symptoms and current smoking. In conclusion, health care providers should be aware that depressed urban minority women are at risk of continued smoking/HH-ETSE during pregnancy. Interventions designed to encourage behavior change should include screening for depression, and build skills so that women are better able to address the social environment.     

Association Between Smoking and SARS-CoV-2 Infection: Cross-sectional Study of the EPICOVID19 Internet-Based Survey

BackgroundSeveral studies have reported a low prevalence of current smoking among hospitalized COVID-19 cases; however, no definitive conclusions can be drawn.ObjectiveWe investigated the association of tobacco smoke exposure with nasopharyngeal swab (NPS) test results for SARS-CoV-2 infection and disease severity accounting for possible confounders.MethodsThe nationwide, self-administered, cross-sectional web-based Italian National Epidemiological Survey on COVID-19 (EPICOVID19) was administered to an Italian population of 198,822 adult volunteers who filled in an online questionnaire between April 13 and June 2, 2020. For this study, we analyzed 6857 individuals with known NPS test results. The associations of smoking status and the dose-response relationship with a positive NPS test result and infection severity were calculated as odds ratios (ORs) with 95% CIs by means of logistic and multinomial regression models adjusting for sociodemographic, clinical, and behavioral characteristics.ResultsOut of the 6857 individuals (mean age 47.9 years, SD 14.1; 4516/6857, 65.9% female), 63.2% (4334/6857) had never smoked, 21.3% (1463/6857) were former smokers, and 15.5% (1060/6857) were current smokers. Compared to nonsmokers, current smokers were younger, were more educated, were less affected by chronic diseases, reported COVID-19–like symptoms less frequently, were less frequently hospitalized, and less frequently tested positive for COVID-19. In multivariate analysis, current smokers had almost half the odds of a positive NPS test result (OR 0.54, 95% CI 0.45-0.65) compared to nonsmokers. We also found a dose-dependent relationship with tobacco smoke: mild smokers (adjusted OR [aOR] 0.76, 95% CI 0.55-1.05), moderate smokers (aOR 0.56, 95% CI 0.42-0.73), and heavy smokers (aOR 0.38, 95% CI 0.27-0.53). This inverse association also persisted when considering the severity of the infection. Current smokers had a statistically significantly lower probability of having asymptomatic (aOR 0.50, 95% CI 0.27-0.92), mild (aOR 0.65, 95% CI 0.53-0.81), and severe infections (aOR 0.27, 95% CI 0.17-0.42) compared to those who never smoked.ConclusionsCurrent smoking was negatively associated with SARS-CoV-2 infection with a dose-dependent relationship. Ad hoc experimental studies are needed to elucidate the mechanisms underlying this association.Trial RegistrationClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT04471701","term_id":"NCT04471701"}}NCT04471701; https://clinicaltrials.gov/ct2/show/{"type":"clinical-trial","attrs":{"text":"NCT04471701","term_id":"NCT04471701"}}NCT04471701     

Association between smoking and erectile dysfunction: a population-based study

The association between smoking and erectile dysfunction was evaluated in a cohort of 2,115 Caucasian men, aged 40-79 years, randomly selected from Olmsted County, Minnesota. Smoking status was assessed by questionnaire; during the fourth biennial examination, erectile dysfunction was assessed with the Brief Male Sexual Function Inventory. Of the 1,329 men with a regular sexual partner, 173 were current smokers, 836 had previously smoked, and 203 reported erectile dysfunction. Compared with former and never smokers, current smokers in their forties had the greatest relative odds of erectile dysfunction, 2.74 (95% confidence interval (CI): 0.44, 16.89), compared with 1.38 (95% CI: 0.51, 3.74), 1.70 (95% CI: 0.82, 3.51), and 0.77 (95% CI: 0.27, 2.21) for men in their fifties, sixties, and seventies, respectively. Compared with men who never smoked, men who smoked at some time had a greater likelihood of erectile dysfunction (age-adjusted odds ratio = 1.42, 95% CI: 1.00, 2.02), and there was a dose response. Although the causal pathway underlying this association is not clear, this study contributes to the growing literature describing an association between smoking and erectile dysfunction.     

Depressive symptoms and condom use with clients among female sex workers in China

This study examines the association between depressive symptoms and condom use with clients among 278 female sex workers (FSW) in Guangxi, China. About 62% of these FSW had a high level of depressive symptoms (CES-D total score >or=16). Multiple logistic regression analyses indicated that FSW with high level of depressive symptoms were less likely to use condoms consistently (aOR = 0.50, 95% CI: 0.28-0.89) or use condoms properly (aOR = 0.44, 95% CI: 0.20-0.99). The findings suggested that HIV prevention programs targeted at FSW should take into consideration the level of depression they experience.     

Smoking and musculoskeletal disorders in the metal industry: a prospective study

OBJECTIVES: To obtain longitudinal information of the relation between smoking and musculoskeletal disorders in an industrial setting. METHODS: The associations of lifetime tobacco exposure (pack-years), current smoking status, and stopping smoking with back and limb disorders were studied in a cohort of white collar and blue collar employees in a metal industry. Measurements were made three times at 5 year intervals. Two thirds of an initial sample of 902 took part in both re-examinations. Musculoskeletal morbidity was measured as the abundance of symptoms during the past year and as clinical findings assessed by a physiotherapist (upper decile score/score difference = index category). Logistic regression and a generalised estimating equation were used, allowing for sociodemographic variables, physical workload, body mass index, exercise activity, and mental distress. RESULTS: By comparison with never smokers, exposure of 10-< 20 pack- years, the odds ratio (OR) (95% confidence interval (95% CI) of the 10 year change in neck-shoulder symptoms was 3.1 (1.4 to 6.8), in low back symptoms 2.4 (1.1 to 5.1), in upper limb symptoms 1.9 (NS), and in lower limb symptoms 3.4 (1.5 to 7.8). The highest exposure category of > or = 20 pack-years was associated with the change in upper limb findings 2.9 (1.4 to 6.2) and lower limb findings 2.9 (1.2 to 7.2). Those who continued to smoke through the follow up period had a higher increase in clinical findings 2.5 (1.1 to 5.9) than never smokers. There was a dose-response in the association of smoking intensity with future musculoskeletal symptoms. Also, those who stopped smoking during the follow up had a higher increase in symptoms 4.4 (2.0 to 9.9) and findings 3.5 (1.4 to 8.8) than never smokers. CONCLUSION: Smoking seems to predict the development in the occurrence of musculoskeletal symptoms and signs. Stopping smoking is associated with high morbidity.

 

     

Smoking habits, exposure to environmental tobacco smoke, and respiratory symptoms in schoolchildren aged 14-15 years in Terrassa (Barcelona)

OBJECTIVES: Assessment of the prevalence of smoking habits, environmental tobacco exposure, and asthma-related symptoms in a cross-sectional study in schoolchildren aged 14-15 years in Terrassa (Barcelona). METHODS: A sample of 793 students from 21 schools answered a self-administered questionnaire including information on smoking habits, environmental tobacco exposure and asthma-related symptoms. RESULTS: The prevalence of smoking daily was 16.3% (CI 13. 7-18.9); no difference between sexes were observed, while the proportion of occasional smokers was higher among girls. Age, maternal habit, friend's smoking habit and having older siblings were independently associated to the schoolchildren's smoking habits. Overall, 13% reported a positive history of wheezing and 20.3% of nocturnal cough during the previous year. Smoking daily and passive smoking were positively associated with the prevalence of asthma-related symptoms, but not with previous diagnosis of asthma. CONCLUSIONS: The prevalence of smoking among adolescents seems to have levelled off. There is some trend toward a higher prevalence among girls than among boys. The presence of smoking in the social environment is a strong predictor of the smoking habits among schoolchildren. Both active smoking and environmental exposure to tobacco smoke are associated to increased asthma-related symptoms.