BMI and Smoking: Interrelated Factors among Cessation Website Users

Schindler‐Ruwisch, Jennifer; Augustson, Erik; Lynch, Krystal; Patrick, Heather

doi:10.5993/ajhb.39.3.5

Cited by 5 publications

(6 citation statements)

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“…However, there is no significant difference observed between smokers and nonsmokers in terms of age and BMI in this study. The result is consistent with Schindler-Ruwisch et al [25] that reported smokers have BMIs similar to the general population, for instance nonsmoker population. One possible reason could be the difference between the averages age of the nonsmoker group and smoker group.…”

Section: Resultssupporting

confidence: 92%

Assessment of Smoking Behavior Among Malay Male Smokers in Kelantan, Malaysia

Bakar

2017

Asian J Pharm Clin Res

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Objective: The aim of this study was to assess smoking behavior among Malay male smokers in Kelantan, Malaysia.Methods: Volunteers (n=496) were recruited in the study by randomly selected manner. The participants were categorized as smokers (n=248) and non-smoking controls (n=248). All participants were given data collection sheets to record their information. The participants who were selected in smokers group (n=248) were given a form containing questionnaires regarding their smoking behavior. The participants were asked about their smoking history such as smoking initiation age, factors that influence smoking behavior, number of cigarettes daily, number of quitting attempts, and methods of quitting attempts. The validated Malay version of Fagerstrom test for nicotine dependence (FTND-M) was used to measure physical dependence on nicotine among smokers. Results:The study revealed that smokers in this study group were mainly light smokers. More than half of the participants, i.e., 51.6% (n=128), in this study had an FTND-M score lower than 2 (very low nicotine dependence). The minimum smoking initiation age of the participants in this study was 10 years whereas the maximum age was 40 years. Most of the participants start smoking at the age of <20 years with the higher frequency being 18 years. More than half of the participants (58.5%) claimed that peer influence is the main factor initiating their smoking behavior. From the study, about 50.4% (n=125) of participants used <10 sticks of cigarettes per day, 39.1% (n=97) used 11-20 sticks, 9.39% (n=23) used 21-30 sticks, while 1.2% of the participants used more than 31 sticks of cigarettes per day. Our data indicate that only 10.9% (n=27) of participants had tried more than 5 times to quit smoking. Even though new effective treatments are now available, almost half of the participants, i.e., 51.6% (n=128), had tried to quit smoking without any intervention. Conclusion:Data obtained from this study later may help the public health policy makers and practitioners, especially in Kelantan, Malaysia, to make smoking prevention strategies more effective.

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Section: Resultssupporting

confidence: 92%

Assessment of Smoking Behavior Among Malay Male Smokers in Kelantan, Malaysia

Bakar

2017

Asian J Pharm Clin Res

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“…Similar studies have found the same results. Schindler-Ruwisch et al (2015), for instance, reported that the Mean BMI for never, intermittent, and daily cigarette smokers were 26.3, 27.4 and 28.1, respectively, reflecting that cigarette smokers had BMIs similar to the general population (Schindler-Ruwisch et al, 2015). Li et al's study (2010) on Mongolian population in China also did not provide any evidence to support an association between cigarette smoking and obesity.…”

Section: Discussionmentioning

confidence: 95%

“…The cigarette smoking is therefore presumed to correlate with lower BMI. Although, there is some evidence to support the negative association between smoking and weight-related outcomes (Schindler-Ruwisch et al, 2015), some health researchers have not confirmed any associations between obesity and smoking (Li et al, 2010). Often, the associations between cigarette smoking and obesity relies on data obtained from Body Mass Index (BMI) calculations; however, the likely trends of obesity have not yet been well-quantified using measured BMI.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Cigarette Smoking and Associated Factors among Male Citizens in Tehran, Iran

Kassani

Baghbanian²,

Menati³

et al. 2016

Asian Pacific Journal of Cancer Prevention

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Background: Cigarette smoking is as the leading cause of cancer mortality and other chronic diseases in males worldwide. The prevalence of cigarette smoking is different across and within countries by age, education level, occupation, and so on. This study aimed to determine the prevalence of cigarette smoking and its relationship with individuals' demographic factors and BMI in adolescent men living in Tehran, Iran. Materials and Methods: This study involved secondary analysis of the 'Urban Health Equity Assessment and Response Tool-2' survey conducted in Tehran, Iran, among men aged 20+, 2011-2012. Using a multistage sampling method, 45,990 men were included in the study. The cigarette smoking status, BMI and demographic factors measured through a self-administered questionnaire. Chi-square, t-test, and logistic regression model were used to examine the relationships between the independents variables and cigarette smoking behavior, using SPSS software version 21. Results: In the total of 45,990 men, the overall prevalence of cigarette smoking was 14.6% (CI 95%: 14.29-14.94). Age (OR=0.96; CI 95%:0.94-0.98), house ownership (OR=0.68; CI 95%: 0.64-0.72), job status (OR=0.60; CI 95%: 0.46-0.86), marital status (OR=0.42; CI 95%: 0.39-0.47) and educational levels (OR=0.50; CI95%: 0.45-0.54) were associated with the prevalence of cigarette smoking. However, associations with BMI, family size, residency years, and district were not statistically significant. Conclusions: Given the relatively high prevalence of cigarette smoking in the study population, policy interventions are required to address this major public health issue, with a focus on the population demographic influences.

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“…In advanced cases, on the other hand, malnourishment and low BMI pose a serious threat to overall health and can have negative effects on tumor therapy (39,40). Tobacco smoking can be associated with low socioeconomic status and higher BMI but also coincided with lower BMI in other studies (41)(42)(43). A poor diet, low in fruit and vegetables, has been correlated with oral cancer, and it has been shown that a Mediterranean diet favorably affects the risk of upper aerodigestive tract cancer (44,45).…”

Section: Discussionmentioning

confidence: 98%

Rediscussing the Role of Traditional Risk Factors in Young Adults With Oral Squamous Cell Carcinoma

et al. 2020

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Background/Aim: The current literature conjectures that oral squamous cell carcinoma (OSCC) in younger patients is an entirely separate entity with a different risk profile. We aimed to uncover the potential risk factors of OSCC and evaluated the long-term outcome in such patients. Patients and Methods: This hospital-based case-control study included 40 patients with OSCC and 40 controls under the age of 46 years. Survival was analyzed via Kaplan-Meier estimates, including a follow-up of up to 24.3 years. Results: The patients with OSCC were prone to smoking and drinking heavily and even suffered secondary organ damage to the lungs and the liver at this young age. Early diagnosed as well as surgically treated patients had superior 5-year recurrence-free and overall survival. Conclusion: Young patients with OSCC were found to have a traditional risk profile. Secondary organ damage to the liver and the lungs might be considered as a risk indicator. The meticulous screening of every age group with this risk profile is key to early diagnosis and acceptable treatment results.

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BMI and Smoking: Interrelated Factors among Cessation Website Users

Abstract: Smokers may currently have BMIs similar to the general population. BMI and CPD were positively correlated.

Cited by 5 publications

References 0 publications

Assessment of Smoking Behavior Among Malay Male Smokers in Kelantan, Malaysia

Assessment of Smoking Behavior Among Malay Male Smokers in Kelantan, Malaysia

Prevalence of Cigarette Smoking and Associated Factors among Male Citizens in Tehran, Iran

Rediscussing the Role of Traditional Risk Factors in Young Adults With Oral Squamous Cell Carcinoma

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