Displaying publications 1 - 20 of 104 in total

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  1. Smith J, Togawa K, Dresler C, Hawari F, Zain ZM, Stewart B, et al.
    Cancer Epidemiol, 2022 Aug;79:102210.
    PMID: 35785684 DOI: 10.1016/j.canep.2022.102210
    Matched MeSH terms: Smoking/adverse effects
  2. Chaubal T, Bapat R
    Am J Med, 2017 Nov;130(11):e493-e494.
    PMID: 28602875 DOI: 10.1016/j.amjmed.2017.05.020
    Matched MeSH terms: Smoking/adverse effects*
  3. Huan NC, Sidhu C, Thomas R
    Clin Chest Med, 2021 12;42(4):711-727.
    PMID: 34774177 DOI: 10.1016/j.ccm.2021.08.007
    Pneumothorax is a common problem worldwide. Pneumothorax develops secondary to diverse aetiologies; in many cases, there may be no recognizable lung abnormality. The pathogenetic mechanism(s) causing spontaneous pneumothorax may be related to an interplay between lung-related abnormalities and environmental factors such as smoking. Tobacco smoking is a major risk factor for primary spontaneous pneumothorax; chronic obstructive pulmonary disease is most frequently associated with secondary spontaneous pneumothorax. This review article provides an overview of the historical perspective, epidemiology, classification, and aetiology of pneumothorax. It also aims to highlight current knowledge and understanding of underlying risks and pathophysiological mechanisms in pneumothorax development.
    Matched MeSH terms: Smoking/adverse effects
  4. El Tantawi M, Sabbagh HJ, Alkhateeb NA, Quritum M, Abourdan J, Qureshi N, et al.
    PeerJ, 2022;10:e13555.
    PMID: 35860046 DOI: 10.7717/peerj.13555
    BACKGROUND: Oral manifestations and lesions could adversely impact the quality of people's lives. COVID-19 infection may interact with smoking and the impact on oral manifestations is yet to be discovered.

    OBJECTIVES: The aim of this study was to assess the self-reported presence of oral lesions by COVID-19-infected young adults and the differences in the association between oral lesions and COVID-19 infection in smokers and non-smokers.

    METHODS: This cross-sectional multi-country study recruited 18-to-23-year-old adults. A validated questionnaire was used to collect data on COVID-19-infection status, smoking and the presence of oral lesions (dry mouth, change in taste, and others) using an online platform. Multi-level logistic regression was used to assess the associations between the oral lesions and COVID-19 infection; the modifying effect of smoking on the associations.

    RESULTS: Data was available from 5,342 respondents from 43 countries. Of these, 8.1% reported COVID-19-infection, 42.7% had oral manifestations and 12.3% were smokers. A significantly greater percentage of participants with COVID-19-infection reported dry mouth and change in taste than non-infected participants. Dry mouth (AOR=, 9=xxx) and changed taste (AOR=, 9=xxx) were associated with COVID-19- infection. The association between COVID-19-infection and dry mouth was stronger among smokers than non-smokers (AOR = 1.26 and 1.03, p = 0.09) while the association with change in taste was stronger among non-smokers (AOR = 1.22 and 1.13, p = 0.86).

    CONCLUSION: Dry mouth and changed taste may be used as an indicator for COVID-19 infection in low COVID-19-testing environments. Smoking may modify the association between some oral lesions and COVID-19-infection.

    Matched MeSH terms: Smoking/adverse effects
  5. Aminuddin A, Cheong SS, Roos NAC, Ugusman A
    Int J Med Sci, 2023;20(4):482-492.
    PMID: 37057211 DOI: 10.7150/ijms.79889
    Smoking is a risk factor of acute coronary syndrome (ACS) that could increase matrix metalloproteinases (MMPs) levels, leading to unstable coronary artery plaque. The current review aimed to identify the relationship between smoking and MMPs in patients with ACS. Literature search was conducted from inception until March 2022 in three online databases. Risk of bias was assessed using the Newcastle-Ottawa Scale. A meta-analysis was performed, and the odds ratio (OR) together with its 95% confidence interval (CI) were determined. A total of 7,843 articles were identified, and only seven studies were included. Four studies investigated the MMP-3 and MMP-9 related genes and found that smokers with certain MMPs genotypes had high risk of ACS. Smoking also increased the MMPs level in patients with ACS compared with non-smokers. Additionally, a meta-analysis of two studies resulted in an increased odd of ACS in smokers with MMP-3 5A allele versus non-smokers with MMP-3 6A6A allele (OR: 15.94, 95% CI: 10.63-23.92; I2 =55%). In conclusion, the current review highlights the role of MMPs in relation to smoking and ACS. The determination of these roles may help in identifying new ACS markers among smokers and the development of drug-targeted treatment.
    Matched MeSH terms: Smoking/adverse effects
  6. Khajotia R, Somaweera N
    Aust Fam Physician, 2013 Aug;42(8):560-2.
    PMID: 23971064
    Matched MeSH terms: Smoking/adverse effects*
  7. Ngamwong Y, Tangamornsuksan W, Lohitnavy O, Chaiyakunapruk N, Scholfield CN, Reisfeld B, et al.
    PLoS One, 2015;10(8):e0135798.
    PMID: 26274395 DOI: 10.1371/journal.pone.0135798
    Smoking and asbestos exposure are important risks for lung cancer. Several epidemiological studies have linked asbestos exposure and smoking to lung cancer. To reconcile and unify these results, we conducted a systematic review and meta-analysis to provide a quantitative estimate of the increased risk of lung cancer associated with asbestos exposure and cigarette smoking and to classify their interaction. Five electronic databases were searched from inception to May, 2015 for observational studies on lung cancer. All case-control (N = 10) and cohort (N = 7) studies were included in the analysis. We calculated pooled odds ratios (ORs), relative risks (RRs) and 95% confidence intervals (CIs) using a random-effects model for the association of asbestos exposure and smoking with lung cancer. Lung cancer patients who were not exposed to asbestos and non-smoking (A-S-) were compared with; (i) asbestos-exposed and non-smoking (A+S-), (ii) non-exposure to asbestos and smoking (A-S+), and (iii) asbestos-exposed and smoking (A+S+). Our meta-analysis showed a significant difference in risk of developing lung cancer among asbestos exposed and/or smoking workers compared to controls (A-S-), odds ratios for the disease (95% CI) were (i) 1.70 (A+S-, 1.31-2.21), (ii) 5.65; (A-S+, 3.38-9.42), (iii) 8.70 (A+S+, 5.8-13.10). The additive interaction index of synergy was 1.44 (95% CI = 1.26-1.77) and the multiplicative index = 0.91 (95% CI = 0.63-1.30). Corresponding values for cohort studies were 1.11 (95% CI = 1.00-1.28) and 0.51 (95% CI = 0.31-0.85). Our results point to an additive synergism for lung cancer with co-exposure of asbestos and cigarette smoking. Assessments of industrial health risks should take smoking and other airborne health risks when setting occupational asbestos exposure limits.
    Matched MeSH terms: Smoking/adverse effects*
  8. Wong ML, Chen PC
    Med J Malaysia, 1989 Dec;44(4):317-23.
    PMID: 2520041
    On the basis of a questionnaire on smoking behaviour, knowledge and attitudes administered to medical students in the University of Malaya in July 1987, the prevalence of smoking was found to be low (10%) among medical students. Smokers and non-smokers were equally well informed about common smoking complications. Most students, irrespective of smoking status, felt that they would as future doctors, often advise sick smokers against smoking. In contrast, less than half would do so for healthy smokers who do not themselves raise the question of smoking. The students' personal smoking behaviour also influenced their view of their professional role. Appropriate values, attitudes and a preventive approach towards smoking need to be further developed in the medical students' thinking and behaviour.
    Matched MeSH terms: Smoking/adverse effects
  9. Salari N, Hasheminezhad R, Abdolmaleki A, Kiaei A, Shohaimi S, Akbari H, et al.
    Arch Womens Ment Health, 2022 Dec;25(6):1021-1027.
    PMID: 36445469 DOI: 10.1007/s00737-022-01281-1
    The increased number of female smokers is considered a global health challenge in recent years. One of the detrimental effects of smoking is sexual hormone fluctuation causing female sexual dysfunction (FSD). This systematic review and meta-analysis aimed to investigate the effects of smoking leading to FSD. Electronic databases (PubMed, Scopus, Web of Science, Embase, Science Direct, and Google Scholar) were hired for systematic searching. Until June 2022, whole qualified studies reporting the consequences of smoking on FSD were gathered for data analysis based on the random effects model (CMA software, v.2). Study heterogeneity and publication bias were also assessed using I2 index and Egger test, respectively. Ten eligible studies with a sample size of 15,334 female smokers (18-79 years) were selected. Following data analysis, the odds ratio representing the effects of smoking on FSD was found 1.48 (95%CI: 1.2-1.83), indicating that female smokers were 48% more susceptible to FSD than non-smokers. Also, the publication bias was reported as non-significant (p = 0.178). Since smoking is an increasingly common phenomenon in females and women smokers are 48% more susceptible to the FSD, preparation of necessary health measures by the health policymakers to reduce the number of female smokers and subsequent health services seems necessary.
    Matched MeSH terms: Smoking/adverse effects
  10. Ordóñez-Mena JM, Walter V, Schöttker B, Jenab M, O'Doherty MG, Kee F, et al.
    Ann Oncol, 2018 Feb 01;29(2):472-483.
    PMID: 29244072 DOI: 10.1093/annonc/mdx761
    BACKGROUND: Smoking has been associated with colorectal cancer (CRC) incidence and mortality in previous studies and might also be associated with prognosis after CRC diagnosis. However, current evidence on smoking in association with CRC prognosis is limited.

    PATIENTS AND METHODS: For this individual patient data meta-analysis, sociodemographic and smoking behavior information of 12 414 incident CRC patients (median age at diagnosis: 64.3 years), recruited within 14 prospective cohort studies among previously cancer-free adults, was collected at baseline and harmonized across studies. Vital status and causes of death were collected for a mean follow-up time of 5.1 years following cancer diagnosis. Associations of smoking behavior with overall and CRC-specific survival were evaluated using Cox regression and standard meta-analysis methodology.

    RESULTS: A total of 5229 participants died, 3194 from CRC. Cox regression revealed significant associations between former [hazard ratio (HR) = 1.12; 95 % confidence interval (CI) = 1.04-1.20] and current smoking (HR = 1.29; 95% CI = 1.04-1.60) and poorer overall survival compared with never smoking. Compared with current smoking, smoking cessation was associated with improved overall (HR<10 years = 0.78; 95% CI = 0.69-0.88; HR≥10 years = 0.78; 95% CI = 0.63-0.97) and CRC-specific survival (HR≥10 years = 0.76; 95% CI = 0.67-0.85).

    CONCLUSION: In this large meta-analysis including primary data of incident CRC patients from 14 prospective cohort studies on the association between smoking and CRC prognosis, former and current smoking were associated with poorer CRC prognosis compared with never smoking. Smoking cessation was associated with improved survival when compared with current smokers. Future studies should further quantify the benefits of nonsmoking, both for cancer prevention and for improving survival among CRC patients, in particular also in terms of treatment response.

    Matched MeSH terms: Smoking/adverse effects*
  11. Al-Bayaty FH, Baharuddin N, Abdulla MA, Ali HM, Arkilla MB, ALBayaty MF
    Biomed Res Int, 2013;2013:684154.
    PMID: 24286083 DOI: 10.1155/2013/684154
    The objectives of this study were to evaluate the influence of cigarette smoking on gingival bleeding and serum concentrations of cotinine, haptoglobin, and alpha 1-antitrypsin in Malaysian smokers. A total of 197 male smokers and nonsmokers were recruited for this study. Plaque index, bleeding on probing (BOP), and levels of serum cotinine, haptoglobin, and alpha 1-antitrypsin were evaluated. The data were analyzed using SPSS version 20.0, with the significance level set at α ≤ 0.05. Linear regression analyses were performed. The mean cigarette consumption per day was 13.39 ± 5.75 cigarettes; the mean duration was 16.03 ± 8.78 years. Relatively low BOP values (26.05 ± 1.48) and moderate plaque indexes (51.35 ± 11.27) were found. The levels of serum cotinine (106.9 ± 30.71 ng/dL), haptoglobin (76.04 ± 52.48 mg/dL), and alpha 1-antitrypsin (141.90 ± 18.40 mg/dL) were significantly higher in smokers compared to non-smokers. Multiple logistic regression models for all variables and smokers demonstrated observed differences between BOP, the number of cigarettes per day, and duration of smoking, while serum cotinine, haptoglobin and alpha-1 antitrypsin levels showed no significant differences. Duration of smoking (years) and the cotinine level in serum showed a significant correlation with plaque index. The present analysis demonstrated that the duration of smoking in years, but not the number of cigarettes smoked per day, was associated with reduced gingival bleeding in smokers.
    Matched MeSH terms: Smoking/adverse effects
  12. Yasin SM, Retneswari M, Moy FM, Taib KM, Isahak M, Koh D
    Asian Pac J Cancer Prev, 2013;14(4):2317-23.
    PMID: 23725134
    The role of The Transtheoretical Model (TTM) in predicting relapse is limited. We aimed to assess whether this model can be utilised to predict relapse during the action stage. The participants included 120 smokers who had abstained from smoking for at least 24 hours following two Malaysian universities' smoking cessation programme. The smokers who relapsed perceived significantly greater advantages related to smoking and increasing doubt in their ability to quit. In contrast, former smokers with greater self-liberation and determination to abstain were less likely to relapse. The findings suggest that TTM can be used to predict relapse among quitting smokers.
    Matched MeSH terms: Smoking/adverse effects*
  13. Nasir MH, Rampal KG
    Med J Malaysia, 2012 Feb;67(1):81-6.
    PMID: 22582554 MyJurnal
    Sensorineural hearing loss is a common and important source of disability among the workers and often caused by occupational noise exposure. Aims of the study were to determine the prevalence and contributing factors of hearing loss among airport workers. A cross-sectional study was carried out at an airport in Malaysia. This study used stratified sampling method that involved 358 workers who were working in 3 different units between November 2008 and March 2009. Data for this study were collected by using questionnaires eliciting sociodemographic, occupational exposure history (previous and present), life-style including smoking habits and health-related data. Otoscopic and pure-tone audiometric tests were conducted for hearing assessment. Noise exposure status was categorize by using a noise logging dosimeter to obtain 8-hour Time-Weighted Average (TWA). Data was analyzed by using SPSS version 12.0.1 and EpiInfo 6.04. The prevalence of hearing loss was 33.5%. Age >40 years old (aOR 4.3, 95%CI 2.2-8.3) is the main risk factors for hearing loss followed by duration of noise exposure >5 years (aOR 2.5, 95%CI 1.4-4.7), smoking (aOR 2.1, 95%CI 1.2-3.4), duration of service >5 years (aOR 2.1, 95%CI 1.1-3.9), exposure to explosion (aOR 6.1, 95%CI 1.3-29.8), exposure to vibration (aOR 2.2, 95%CI 1.1-4.3) and working in engineering unit (aOR 5.9, 95%CI 1.1-30.9). The prevalence rate ratio of hearing loss for nonsmokers aged 40 years old and younger, smokers aged 40 years old and younger, non-smokers older than 40 years old and smokers older than 40 years old was 1.0, 1.7, 2.8 and 4.6 respectively. This result contributes towards better understanding of risk factors for hearing loss, which is relatively common among Malaysian workers.
    Matched MeSH terms: Smoking/adverse effects
  14. Hammond D
    Tob Control, 2011 Sep;20(5):327-37.
    PMID: 21606180 DOI: 10.1136/tc.2010.037630
    OBJECTIVE: To review evidence on the impact of health warning messages on tobacco packages.
    DATA SOURCES: Articles were identified through electronic databases of published articles, as well as relevant 'grey' literature using the following keywords: health warning, health message, health communication, label and labelling in conjunction with at least one of the following terms: smoking, tobacco, cigarette, product, package and pack.
    STUDY SELECTION AND DATA EXTRACTION: Relevant articles available prior to January 2011 were screened for six methodological criteria. A total of 94 original original articles met inclusion criteria, including 72 quantitative studies, 16 qualitative studies, 5 studies with both qualitative and qualitative components, and 1 review paper: Canada (n=35), USA (n=29) Australia (n=16), UK (n=13), The Netherlands (n=3), France (n=3), New Zealand (n=3), Mexico (n=3), Brazil (n=2), Belgium (n=1), other European countries (n=10), Norway (n=1), Malaysia (n=1) and China (n=1).
    RESULTS: The evidence indicates that the impact of health warnings depends upon their size and
    DESIGN: whereas obscure text-only warnings appear to have little impact, prominent health warnings on the face of packages serve as a prominent source of health information for smokers and non-smokers, can increase health knowledge and perceptions of risk and can promote smoking cessation. The evidence also indicates that comprehensive warnings are effective among youth and may help to prevent smoking initiation. Pictorial health warnings that elicit strong emotional reactions are significantly more effective.
    CONCLUSIONS: Health warnings on packages are among the most direct and prominent means of communicating with smokers. Larger warnings with pictures are significantly more effective than smaller, text-only messages.
    Matched MeSH terms: Smoking/adverse effects*
  15. King B, Yong HH, Borland R, Omar M, Ahmad AA, Sirirassamee B, et al.
    Tob Control, 2010 Dec;19(6):444-50.
    PMID: 20852322 DOI: 10.1136/tc.2009.034256
    This study explored the extent to which Malaysian and Thai smokers believe "light" and menthol cigarettes are less harmful than "regular" cigarettes and the correlates of these beliefs.
    Matched MeSH terms: Smoking/adverse effects*
  16. Al-Sadat N, Misau AY, Zarihah Z, Maznah D, Tin Tin Su
    Asia Pac J Public Health, 2010 Jul;22(3 Suppl):175S-180S.
    PMID: 20566551 DOI: 10.1177/1010539510372835
    The use of tobacco by adolescents is a major public health concern worldwide. There are 1.2 billion smokers globally, of which more than 50% are young people. The Southeast Asian countries have about 600 million tobacco smokers within the global burden of tobacco users. Most smokers begin at early stage of life and persist through adulthood. Malaysia alone has about 5 million smokers, 20% of whom are younger than 18 years old. Many factors are implicated in the continuous rising trend of tobacco use among adolescents in Southeast Asia. A triad of family, environmental, and individual factors synergistically acts to motivate adolescents toward smoking. This article discusses the current trends of tobacco use and implications of increasing rise in adolescent smoking in the Southeast Asia region.
    Matched MeSH terms: Smoking/adverse effects
  17. Razali M, Palmer RM, Coward P, Wilson RF
    Br Dent J, 2005 Apr 23;198(8):495-8; discussion 485.
    PMID: 15849588
    Smoking has been associated with increased risk of periodontitis. The aim of the present study was to compare the periodontal disease severity of adult heavy smokers and never-smokers referred for assessment and treatment of chronic periodontitis.
    Matched MeSH terms: Smoking/adverse effects*
  18. Müezzinler A, Mons U, Gellert C, Schöttker B, Jansen E, Kee F, et al.
    Am J Prev Med, 2015 Nov;49(5):e53-e63.
    PMID: 26188685 DOI: 10.1016/j.amepre.2015.04.004
    INTRODUCTION: Smoking is known to be a major cause of death among middle-aged adults, but evidence on its impact and the benefits of smoking cessation among older adults has remained limited. Therefore, we aimed to estimate the influence of smoking and smoking cessation on all-cause mortality in people aged ≥60 years.

    METHODS: Relative mortality and mortality rate advancement periods (RAPs) were estimated by Cox proportional hazards models for the population-based prospective cohort studies from Europe and the U.S. (CHANCES [Consortium on Health and Ageing: Network of Cohorts in Europe and the U.S.]), and subsequently pooled by individual participant meta-analysis. Statistical analyses were performed from June 2013 to March 2014.

    RESULTS: A total of 489,056 participants aged ≥60 years at baseline from 22 population-based cohort studies were included. Overall, 99,298 deaths were recorded. Current smokers had 2-fold and former smokers had 1.3-fold increased mortality compared with never smokers. These increases in mortality translated to RAPs of 6.4 (95% CI=4.8, 7.9) and 2.4 (95% CI=1.5, 3.4) years, respectively. A clear positive dose-response relationship was observed between number of currently smoked cigarettes and mortality. For former smokers, excess mortality and RAPs decreased with time since cessation, with RAPs of 3.9 (95% CI=3.0, 4.7), 2.7 (95% CI=1.8, 3.6), and 0.7 (95% CI=0.2, 1.1) for those who had quit <10, 10 to 19, and ≥20 years ago, respectively.

    CONCLUSIONS: Smoking remains as a strong risk factor for premature mortality in older individuals and cessation remains beneficial even at advanced ages. Efforts to support smoking abstinence at all ages should be a public health priority.

    Matched MeSH terms: Smoking/adverse effects*
  19. Al-Adsani A, Dahniya MH, Al-Adsani N
    Postgrad Med J, 2001 Feb;77(904):127, 137-8.
    PMID: 11161092
    Matched MeSH terms: Smoking/adverse effects*
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