Displaying publications 1 - 20 of 104 in total

Abstract:
Sort:
  1. Jochems SHJ, Reulen RC, van Osch FHM, Witlox WJA, Goossens ME, Brinkman M, et al.
    Int J Cancer, 2020 Oct 15;147(8):2091-2100.
    PMID: 32285440 DOI: 10.1002/ijc.33008
    While the association between fruit consumption and bladder cancer risk has been extensively reported, studies have had inadequate statistical power to investigate associations between types of fruit and bladder cancer risk satisfactorily. Fruit consumption in relation to bladder cancer risk was investigated by pooling individual data from 13 cohort studies. Cox regression models with attained age as time scale were used to estimate hazard ratios (HRs) for intakes of total fruit and citrus fruits, soft fruits, stone fruits, tropical fruits, pome fruits and fruit products. Analyses were stratified by sex, smoking status and bladder cancer subtype. During on average 11.2 years of follow-up, 2836 individuals developed incident bladder cancer. Increasing fruit consumption (by 100 g/day) was inversely associated with the risk of bladder cancer in women (HR = 0.92; 95% CI 0.85-0.99). Although in women the association with fruit consumption was most evident for higher-risk nonmuscle invasive bladder cancer (NMIBC; HR = 0.72; 95% CI 0.56-0.92), the test for heterogeneity by bladder cancer subtype was nonsignificant (P-heterogeneity = .14). Increasing fruit consumption (by 100 g/day) was not associated with bladder cancer risk in men (HR = 0.99; 95% CI 0.94-1.03), never smokers (HR = 0.96; 95% CI 0.88-1.05), former smokers (HR = 0.98; 95% CI 0.92-1.05) or current smokers (HR = 0.95; 95% CI 0.89-1.01). The consumption of any type of fruit was not found to be associated with bladder cancer risk (P values > .05). Our study supports no evidence that the consumption of specific types of fruit reduces the risk of bladder cancer. However, increasing total fruit consumption may reduce bladder cancer risk in women.
    Matched MeSH terms: Smoking/adverse effects
  2. Fathelrahman AI, Omar M, Awang R, Borland R, Fong GT, Hammond D, et al.
    Nicotine Tob Res, 2009 Mar;11(3):248-53.
    PMID: 19246625 DOI: 10.1093/ntr/ntn029
    This paper is concerned with the effects of cigarette pack warning labels on quitting intentions. We examined whether different responses among smokers toward cigarette pack warning labels could predict quit intentions and self-efficacy in quitting. Variables studied were "noticing warning labels during last month," "reading or looking closely at warning labels," "avoiding looking at labels during last month," "thinking about health risks of smoking because of the warning labels, "more likely to quit because of the warning labels," and "stopping from having a cigarette when about to smoke one because of the labels."
    Matched MeSH terms: Smoking/adverse effects*
  3. Amtha R, Razak IA, Basuki B, Roeslan BO, Gautama W, Puwanto DJ, et al.
    Asian Pac J Cancer Prev, 2014;15(20):8673-8.
    PMID: 25374188
    PURPOSE: This study aimed to determine the association between tobacco consumption (kretek) and betel quid chewing with oral cancer risk.

    MATERIALS AND METHODS: A total of 81 cases of oral cancers were matched with 162 controls in this hospital-based study. Information on sociodemographic characteristics and details of risk habits (duration, frequency and type of tobacco consumption and betel quid chewing) were collected. Association between smoking and betel quid chewing with oral cancer were analysed using conditional logistic regression.

    RESULTS: Slightly more than half of the cases (55.6%) were smokers where 88.9% of them smoked kretek. After adjusting for confounders, smokers have two fold increased risk, while the risk for kretek consumers and those smoking for more than 10 years was increased to almost three-fold. Prevalence of betel quid chewing among cases and controls was low (7.4% and 1.9% respectively). Chewing of at least one quid per day, and quid combination of betel leaf, areca nut, lime and tobacco conferred a 5-6 fold increased risk.

    CONCLUSIONS: Smoking is positively associated with oral cancer risk. A similar direct association was also seen among betel quid chewers.

    Matched MeSH terms: Smoking/adverse effects*
  4. Helen-Ng LC, Razak IA, Ghani WM, Marhazlinda J, Norain AT, Raja Jallaludin RL, et al.
    Community Dent Oral Epidemiol, 2012 Dec;40(6):560-6.
    PMID: 22679921 DOI: 10.1111/j.1600-0528.2012.00704.x
    The role of diet in cancer risk has mainly been investigated based on intake of individual food items. However, food consumption is made up of a combination of various food items. This study aims to determine the association of dietary patterns with oral cancer risk.
    Matched MeSH terms: Smoking/adverse effects
  5. Karen-Ng LP, Marhazlinda J, Rahman ZA, Yang YH, Jalil N, Cheong SC, et al.
    Asian Pac J Cancer Prev, 2011;12(5):1161-6.
    PMID: 21875259
    Dietary isothiocyanates (ITCs) found in cruciferous vegetables (Brassica spp.) has been reported to reduce cancer risk by inducing phase II conjugating enzymes, in particular glutathione S-transferases (GSTs). This case-control study was aimed at determining associations between dietary ITCs, GSTs polymorphisms and risk habits (cigarette smoking, alcohol drinking and betel-quid chewing) with oral cancer in 115 cases and 116 controls. Information on dietary ITC intake from cruciferous vegetables was collected via a semi-quantitative food frequency questionnaire (FFQ). Peripheral blood lymphocytes were obtained for genotyping of GSTM1, GSTT1 and GSTP1 using PCR multiplex and PCR-RFLP. Chi-square and logistic regression were performed to determine the association of ITC and GSTs polymorphism and risk of oral cancer. When dietary ITC was categorized into high (greater than/equal to median) and low (less than median) intake, there was no significant difference between cases and control group. Logistic regression yielding odd ratios resulted in no significant association between dietary ITC intake, GSTM1, GSTT1 or GSTP1 genotypes with oral cancer risk overall. However, GSTP1 wild-type genotype was associated with later disease onset in women above 55 years of age (p= 0.017). Among the men above 45 years of age, there was clinical significant difference of 17 years in the age of onset of oral cancer between GSTP1 wild-type + low ITC intake and GSTP1 polymorphism + high ITC intake (p= 0.001). Similar conditions were also seen among men above 45 years of age with risk habits like drinking and chewing as the earlier disease onset associated with GSTP1 polymorphism and high ITC intake (p< 0.001). This study suggests that combination effects between dietary ITCs, GSTP1 polymorphism and risk habits may be associated with the risk of oral cancer and modulate the age of disease onset.
    Matched MeSH terms: Smoking/adverse effects
  6. Zain RB
    Oral Oncol, 2001 Apr;37(3):205-10.
    PMID: 11287272
    This is an update on cultural and dietary risk factors for oral precancer and cancer. It is an overview on ethnic differences (where possible) and socio-cultural risk factors (tobacco/areca nut/betel quid, alcohol use and dietary factors) in relation to oral precancer and cancer. While studies were from Western countries, India and China, this update also attempts to include and highlight some studies conducted in the Asia-Pacific region.
    Matched MeSH terms: Smoking/adverse effects
  7. Chow CK, Corsi DJ, Gilmore AB, Kruger A, Igumbor E, Chifamba J, et al.
    BMJ Open, 2017 03 31;7(3):e013817.
    PMID: 28363924 DOI: 10.1136/bmjopen-2016-013817
    OBJECTIVES: This study examines in a cross-sectional study 'the tobacco control environment' including tobacco policy implementation and its association with quit ratio.

    SETTING: 545 communities from 17 high-income, upper-middle, low-middle and low-income countries (HIC, UMIC, LMIC, LIC) involved in the Environmental Profile of a Community's Health (EPOCH) study from 2009 to 2014.

    PARTICIPANTS: Community audits and surveys of adults (35-70 years, n=12 953).

    PRIMARY AND SECONDARY OUTCOME MEASURES: Summary scores of tobacco policy implementation (cost and availability of cigarettes, tobacco advertising, antismoking signage), social unacceptability and knowledge were associated with quit ratios (former vs ever smokers) using multilevel logistic regression models.

    RESULTS: Average tobacco control policy score was greater in communities from HIC. Overall 56.1% (306/545) of communities had >2 outlets selling cigarettes and in 28.6% (154/539) there was access to cheap cigarettes (<5cents/cigarette) (3.2% (3/93) in HIC, 0% UMIC, 52.6% (90/171) LMIC and 40.4% (61/151) in LIC). Effective bans (no tobacco advertisements) were in 63.0% (341/541) of communities (81.7% HIC, 52.8% UMIC, 65.1% LMIC and 57.6% LIC). In 70.4% (379/538) of communities, >80% of participants disapproved youth smoking (95.7% HIC, 57.6% UMIC, 76.3% LMIC and 58.9% LIC). The average knowledge score was >80% in 48.4% of communities (94.6% HIC, 53.6% UMIC, 31.8% LMIC and 35.1% LIC). Summary scores of policy implementation, social unacceptability and knowledge were positively and significantly associated with quit ratio and the associations varied by gender, for example, communities in the highest quintile of the combined scores had 5.0 times the quit ratio in men (Odds ratio (OR) 5·0, 95% CI 3.4 to 7.4) and 4.1 times the quit ratio in women (OR 4.1, 95% CI 2.4 to 7.1).

    CONCLUSIONS: This study suggests that more focus is needed on ensuring the tobacco control policy is actually implemented, particularly in LMICs. The gender-related differences in associations of policy, social unacceptability and knowledge suggest that different strategies to promoting quitting may need to be implemented in men compared to women.

    Matched MeSH terms: Smoking/adverse effects
  8. Tavintharan S, Ning Cheung, Su Chi Lim, Tay W, Shankar A, Shyong Tai E, et al.
    Diab Vasc Dis Res, 2009 Apr;6(2):80-6.
    PMID: 20368197 DOI: 10.1177/1479164109336043
    We describe the prevalence and risk factors for PAD in Asian Malays with diabetes. A population-based study of 3,280 (78.7% response) Malay persons aged 40-80 years in Singapore was conducted. ABI was measured in all participants with a history of diabetes (N=634). PAD was defined to be present if ABI
    Matched MeSH terms: Smoking/adverse effects
  9. Liam CK, Lim KH, Wong CM
    Respirology, 2000 Dec;5(4):355-61.
    PMID: 11192546
    This study aimed to determine whether the clinicopathological features of lung cancer in patients younger than 40 years differ from that of older patients in an Asian country.
    Matched MeSH terms: Smoking/adverse effects
  10. Liam CK, Lim KH, Wong CM
    Chest, 2002 Jan;121(1):309-10.
    PMID: 11796481
    Matched MeSH terms: Smoking/adverse effects
  11. 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*
  12. Khor GL, Hsu-Hage BH, Sundram K, Wahlqvist ML
    Med J Malaysia, 1997 Dec;52(4):367-76.
    PMID: 10968113
    Several risk factors for cardiovascular disease amongst a sample of urban Chinese women were investigated. These factors included body mass index (BMI), waist hip ratio, total blood cholesterol (TC), HDL-cholesterol and Lp(a) levels, blood pressure, cigarette smoking, family history of chronic disease, dietary habits and frequency of selected food intake. The subjects were found to have coronary risks with respect to BMI and TC level, both of which increased with age of the women. Hypertension, HDL-cholesterol and Lp(a) levels appeared not to pose as risk factors amongst these subjects. Dietary habits and intake showed significant correlations with subjects' BMI status. Health promotion is called for towards reducing the modifiable coronary risk factors.
    Matched MeSH terms: Smoking/adverse effects
  13. Khan AH, Sulaiman SAS, Hassali MA, Khan KU, Ming LC, Mateen O, et al.
    BMC Public Health, 2020 Jun 04;20(1):854.
    PMID: 32498682 DOI: 10.1186/s12889-020-08856-6
    BACKGROUND: Smoking plays a key role in the development of tuberculosis (TB) infection and is also a predictor of poor TB treatment prognosis and outcomes. The current study was conducted to determine the prevalence of smoking and to assess the effects of smoking on treatment outcomes among TB patients.

    METHODS: A multi-center retrospective study design was used to collect data from TB patients in four different states of Malaysia, namely Penang, Sabah, Sarawak, and Selangor. The study included medical records of TB patients admitted to the selected hospitals in the period from January 2006 to March 2009. Medical records with incomplete data were not included. Patient demographics and clinical data were collected using a validated data collection form.

    RESULTS: Of all patients with TB (9337), the prevalence of smokers was 4313 (46.2%). Among smokers, 3584 (83.1%) were associated with pulmonary TB, while 729 (16.9%) were associated with extrapulmonary TB. Male gender (OR = 1.43, 95% CI 1.30-1.58), Chinese ethnicity (OR = 1.23, 95% CI 1.02-1.49), Sarawak indigenous ethnicity (OR = 0.74, 95% CI 0.58-0.95), urban residents (OR = 1.46, 95% CI 1.33-1.61), employed individuals (OR = 1.21, 95% CI 1.09-1.34), alcoholics (OR = 4.91, 95% CI 4.04-5.96), drug abusers (OR = 7.43, 95% CI 5.70-9.60) and presence of co-morbid condition (OR = 1.27, 95% CI 1.16-1.40) all showed significant association with smoking habits. This study found that 3236 (75.0%) patients were successfully treated in the smokers' group, while 4004 (79.7%) patients were non-smokers. The proportion of deaths (6.6%, n = 283), defaulters (6.6%, n = 284) and treatment interruptions (4.7%, n = 204) was higher in the smokers' group.

    CONCLUSIONS: Smoking has a strong influence on TB and is a major barrier towards treatment success (OR = 0.76, 95% CI 0.69-0.84, p 

    Matched MeSH terms: Smoking/adverse effects*
  14. 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
  15. Mehrtash H, Duncan K, Parascandola M, David A, Gritz ER, Gupta PC, et al.
    Lancet Oncol, 2017 12;18(12):e767-e775.
    PMID: 29208442 DOI: 10.1016/S1470-2045(17)30460-6
    Betel quid and areca nut are known risk factors for many oral and oesophageal cancers, and their use is highly prevalent in the Asia-Pacific region. Additionally, betel quid and areca nut are associated with health effects on the cardiovascular, nervous, gastrointestinal, metabolic, respiratory, and reproductive systems. Unlike tobacco, for which the WHO Framework Convention on Tobacco Control provides evidence-based policies for reducing tobacco use, no global policy exists for the control of betel quid and areca nut use. Multidisciplinary research is needed to address this neglected global public health emergency and to mobilise efforts to control betel quid and areca nut use. In addition, future research is needed to advance our understanding of the basic biology, mechanisms, and epidemiology of betel quid and areca nut use, to advance possible prevention and cessation programmes for betel quid and areca nut users, and to design evidence-based screening and early diagnosis programmes to address the growing burden of cancers that are associated with use.
    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. 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*
  18. Liau CS, Mogan P, Thomas W
    J Steroid Biochem Mol Biol, 2021 04;208:105786.
    PMID: 33189851 DOI: 10.1016/j.jsbmb.2020.105786
    Lung cancer is increasing in incidence particularly among women, associated with a global change in smoking habits. Steroid hormones, particularly oestrogen exert an influence on tumour progression in tissues where their target receptor is expressed. Oestrogen receptor, particularly ERβ is highly expressed in the lung and becomes more highly expressed in lung carcinogenesis. Genes involved in the process of lung carcinoma progression and signalling cascades linked to invasion and angiogenesis are modulated by oestrogen receptors. This review intends to collate recently published evidence identifying a role for oestrogen in the initiation and progression of lung carcinoma and how these two processes are differentially affected by circulating oestrogens both in women and in men. Circulating oestrogens may be a significant risk factor in women's susceptibility to lung carcinoma and also provide an additional approach for more targeted therapy.
    Matched MeSH terms: Smoking/adverse effects
  19. 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
  20. Chean KY, Abdulrahman S, Chan MW, Tan KC
    Int J Occup Environ Med, 2019 10;10(4):203-215.
    PMID: 31586385 DOI: 10.15171/ijoem.2019.1657
    BACKGROUND: Despite its excellent psychometric properties, St George's Respiratory Questionnaire (SGRQ) has not been previously used in measuring respiratory quality of life (RQoL) among traffic police and firefighters who are at risk of poor respiratory health by virtue of their occupations.

    OBJECTIVE: To assess and compare the RQoL of the occupationally exposed (firefighters and traffic police) and the occupationally unexposed populations in Penang, Malaysia.

    METHODS: We recruited male traffic police and firefighters from 5 districts of Penang by convenient sampling during June to September 2018. Participants completed the SGRQ. Scores (symptoms, activity, impacts, total) were derived using a scoring calculator. Higher scores indicate poorer RQoL. Univariate and multivariate linear regression models were fitted to explore the relationship of the independent predictive factors with participants' RQoL.

    RESULTS: We recruited 706 participants---211 firefighters, 198 traffic police, and 297 from general population. Smokers had significantly higher scores than non-smokers in all SGRQ domains. Regardless of smoking status, the "occupationally exposed group" had higher symptoms score than the "occupationally unexposed group," who had higher activity and impact scores. Smoking status, comorbidity status and monthly income were significant independent predictors of SGRQ total score.

    CONCLUSION: In comparison with the general population, firefighters and traffic police reported poorer RQoL; smoking further deteriorated their respiratory health. There is a need to strengthen preventive health measures against occupational disease and smoking cessation among firefighters and traffic police.

    Matched MeSH terms: Smoking/adverse effects
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links