Dataset Information

Study of cardiovascular disease biomarkers among tobacco consumers, part 1: biomarkers of exposure.

ABSTRACT: A study was conducted to evaluate biomarkers of biological effect and physiological assessments related to cardiovascular disease (CVD) among adult male cigarette smokers (SMK), moist snuff consumers (MSC) and non-consumers of tobacco (NTC). Additionally, biomarkers of tobacco and tobacco smoke exposure (BoE) were measured in spot urines and are reported here. Except for the BoE to nicotine and NNK, BoE were generally greater in SMK compared with MSC, and BoE were generally not different in comparisons of MSC and NTC. Results demonstrated that MSC had lower systemic exposures to many harmful and potentially harmful constituents than SMK, which is consistent with epidemiological data that indicate a differential in CVD risk between these groups.

SUBMITTER: Campbell LR

PROVIDER: S-EPMC4496812 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Study of cardiovascular disease biomarkers among tobacco consumers, part 1: biomarkers of exposure.

Campbell Leanne R LR Brown Buddy G BG Jones Bobbette A BA Marano Kristin M KM Borgerding Michael F MF

Inhalation toxicology 20150201 3

A study was conducted to evaluate biomarkers of biological effect and physiological assessments related to cardiovascular disease (CVD) among adult male cigarette smokers (SMK), moist snuff consumers (MSC) and non-consumers of tobacco (NTC). Additionally, biomarkers of tobacco and tobacco smoke exposure (BoE) were measured in spot urines and are reported here. Except for the BoE to nicotine and NNK, BoE were generally greater in SMK compared with MSC, and BoE were generally not different in comp ...[more]

PMID: 25787703

Similar Datasets

Project description:IntroductionTobacco use is recognized as one of the most important causes of preventable death due to non-communicable diseases and disability worldwide. The present study was conducted with the aim of comparing social support and self-control between tobacco consumers and non-consumers in Hormozgan Province.MethodsThe present cross-sectional study was conducted on the adult population above the age of 15 years living in Hormozgan province. A total number of 1,631 subjects were selected using a convenient sampling method. An online questionnaire was used to collect the data, which consisted of three sections: demographic information, Zimet's perceived social support and Tangney's self-control questionnaires. In the present study, Cronbach's alpha coefficients of social support and self-control questionnaires were 0.886 and 0.721, respectively. Data were analyzed using chi-squared test, Mann-Whitney U-test, and logistic regression analysis with SPSS software (v. 25).ResultsAmong the participants, 842 (51.6%) reported to be tobacco non-consumers, and 789 (48.4%) reported to be consumers. The mean scores of perceived social support among the consumers and non-consumers were 4.6 ± 1.012 and 4.93 ± 0.518, respectively. The mean scores of self-control among the consumers and non-consumers were 2.74 ± 0.356 and 2.75 ± 0.354, respectively. There was a significant difference among tobacco consumers and non-consumers in gender, age, education level and job status (p < 0.001). The results showed that the mean scores of social support, support received from family and others were significantly higher in non-consumers than in consumers (p < 0.001). There was no statistically significant difference between the mean scores of self-control, self-discipline, and impulse control in consumers and non-consumers (p > 0.05).ConclusionAccording to our findings, tobacco consumers received more social support from family and others compared to non-consumers. Considering the important role of perceived support in tobacco consumption, this variable should receive copious attention in developing interventions and trainings, especially family education workshops.

Dataset Information

Study of cardiovascular disease biomarkers among tobacco consumers, part 1: biomarkers of exposure.

Publications

Study of cardiovascular disease biomarkers among tobacco consumers, part 1: biomarkers of exposure.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets