Study purposeThe aim of this study was to determine the fractional exhaled nitric oxide (FeNO) levels, exhaled breath carbon monoxide (eCO) levels, blood pressure, blood lipid levels between smokers and non-smokers and to determine the association of smoking intensity with the above parameters.MethodsThis descriptive study was conducted in selected periurban areas of the Colombo District, Sri Lanka. Adult male current tobacco smokers (n=360), aged between 21 and 60 years were studied and compared with anthropometrically matched male non-smokers (n=180). Data were collected by interviewer-administered questionnaire, clinical assessment and measurement of FeNO by FENO monitor and eCO bySmokerlyser.ResultsSmokers had significantly lower mean FeNO levels and higher mean eCO values compared with non-smokers. Presentation of palpitations was higher among the smokers and a significantly positive correlation was identified between palpitations and eCO levels. There was a significantly positive correlation between the systolic blood pressure of smokers with the duration of smoking (DS), Brinkman Index (BI), Body Mass Index (BMI) and there was a significantly negative correlation with FeNO levels. The mean arterial pressure was positively correlated with the DS, BI and BMI. There was a significantly negative correlation between FeNO and the number of cigarettes smoked per day, DS and BI of smokers. Significantly higher total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), very LDL-C, TC: HDL ratio and low high density lipoprotein cholesterol (HDL-C) level was observed among smokers compared with the non-smokers.ConclusionsTobacco smoking was found to impact blood pressure and serum lipid levels thus enhancing the cardiovascular risk among smokers. The levels of eCO and FeNO are useful biomarkers for determining the intensity of smoking. The results indicate the necessity for urgent measures to stop cigarette smoking in Sri Lanka.
Background
Tobacco smoking is considered as a major public health issue worldwide. Reduction of tobacco usage has been one of the main government policies in Sri Lanka and the price of cigarettes has been raised several times in the last few years. The purpose of this study was to evaluate the socioeconomic factors associated with tobacco smoking among adult males in Sri Lanka.
Methods
A study was conducted in Gampaha district in Sri Lanka recruiting 365 tobacco smoking people and their spouses. Data regarding tobacco smoking were obtained using an interviewer administrated questionnaire.
Results
Frequency of tobacco smoking was negatively associated with the improvement of educational levels. Employment, monthly income, influence of friends, smoking frequency before price increment, weekly expenditure for smoking, low educational level and the age of first smoking exposure was significantly associated with tobacco smoking among smokers. According to the spouses, smoking frequency before price increment, weekly expenditure of the husbands of smoking and influence of friends, number on smoking friends, spouse’s employment and husband’s monthly income were factors associated with tobacco smoking of their husbands. In addition, smoking at home, at work places and at friend’s houses was significant with the frequency of daily smoking.
Conclusions
Increasing the price of tobacco products has no significant impact on smoking behaviors in Sri Lanka. The need for essential strategies to educate and motivate the smokers to stop smoking is required. Primary care health workers might play a major role in motivating smokers to quit smoking.
Variables related to farmers' awareness and attitudes towards intercropping of immature rubber (Hevea brusiliensis) stands, extension contacts, education level, and experience with farming other crops are positively associated with the probability of adoption. Higher levels of off‐farm income are associated with reduced intercropping in immature rubber stands. Farmers who are sole owners of the land and engaged in full or part‐time rubber farming show lower adoption rates than other land ownership groups. Social participation, family size, experience with farming rubber, immature and mature rubber stands size, and the nature of the land (flat/sloped) do not significantly influence adoption. These conclusions were obtained from a logit model estimated by employing the results of a survey of 588 smallholder rubber farmers from five major rubber‐growing regions in Sri Lanka.
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