Urban and rural disparity in tobacco use and knowledge about oral cancer among adolescents: An epidemiological survey on 12 and 15-year school going students

Shrivastava, Rajesh; Sahu, Kamtaram; Thakur, Deepak; Surana, Sanidhya; Mazhar, Heena; Pandey, Soumy

doi:10.4103/2231-0762.197200

Cited by 12 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies reported significant urban-rural difference for tobacco consumption and the rate was higher among rural compared with urban children, similar to our study. 30 The BMI of school children is significantly differed between urban and rural area was also justified by an Indian study of Punjab. 31 Again, two other studies reported same difference in dietary pattern among urban and rural children.…”

Section: Discussionmentioning

confidence: 97%

Cardiovascular disease risk factors among school children of Bangladesh: a cross-sectional study

et al. 2020

View full text Add to dashboard Cite

ObjectivePrimarily, we assessed the distribution of cardiovascular disease (CVD) risk factors among school children living in urban and rural areas of Bangladesh. In addition to this, we sought the association between place of residence and modifiable CVD risk factors among them.Design, setting and participantsThis cross-sectional study was conducted among 854 school children (aged 12–18 years) of Bangladesh. Ten public high schools (five from Dhaka and five from Sirajgonj district) were selected randomly and subjects from those were recruited conveniently. To link the family milieu of CVD risk factors, a parent of each children was also interviewed.Primary and secondary outcome measuresDistribution of CVD risk factors was measured using descriptive statistics as appropriate. Again, a saturated model of binary logistic regression was used to seek the association between place of residence and modifiable CVD risk factors.ResultsMean age of the school children was 14.6±1.1 years and more than half (57.6%) were boys. Overall, 4.4% were currently smoker (urban—3.5%, rural—5.2%) with a strong family history of smoking (42.2%). Similar proportion of school children were identified as overweight (total 9.8%, urban 14.7%, rural 5%) and obese (total 9.8%, urban 16.8%, rural 2.8%) with notable urban-rural difference. More than three-fourth (80%) of them were physically inactive with no urban-rural variation. Only 2.4% consumed recommended fruits and/ or vegetables (urban—3.1%, rural—1.7%). In the adjusted model, place of residence had higher odds for having several modifiable CVD risk factors: current smoking (OR: 1.807, CI 0.872 to 3.744), inadequate fruits and vegetables intake (OR: 1.094, CI 0.631 to 1.895), physical inactivity (OR: 1.082, CI 0.751 to 1.558), overweight (OR: 3.812, CI 2.245 to 6.470) and obesity (OR: 7.449, CI 3.947 to 14.057).ConclusionsBoth urban and rural school children of Bangladesh had poor CVD risk factors profile that demands further nation-wide large scale study to clarify the current findings more precisely.

show abstract

Section: Discussionmentioning

confidence: 97%

Cardiovascular disease risk factors among school children of Bangladesh: a cross-sectional study

et al. 2020

View full text Add to dashboard Cite

show abstract

“…These findings may be partly attributed to the smoking norms in China, in which smoking is overwhelmingly a male phenomenon 19 . Higher exposure in suburb school students may be attributed to differences in tobacco prevalence 21 and environment due to weak implementation of smokefree policies in suburb areas 22 . Our finding targeting vocational school students could be explained by their special learning and living environment; they directly enter into the workforce after graduation and are more likely to encounter social smokers 23 .…”

Section: Discussionmentioning

confidence: 99%

The influence and interaction of exposure to pro-smoking and anti-smoking messaging on youth smoking behaviour and susceptibility

Zhu¹,

Li²,

He³

et al. 2019

Tob. Induc. Dis.

View full text Add to dashboard Cite

INTRODUCTIONExposure to tobacco-related information is an important factor in youth smoking initiation. This study aims to explore the relationship between exposure to pro-smoking and anti-smoking media and adolescents’ current smoking status and susceptibility to smoking, as well as the interaction between exposure to pro-smoking and anti-smoking media information.METHODSThis cross-sectional study was conducted in 2017. We recruited 12278 students from junior, senior and vocational high schools located in Shanghai, China. The exposure of participants to tobacco promotional and control messages over the past 30 days was examined, as well as current smoking and susceptibility to never smokers’ initiation. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using complex samples procedure logistic regression, adjusting for related covariables.RESULTSThere were 89.3% and 91.5% of adolescents exposed to tobacco pro-smoking and anti-smoking messages. Exposure was more prevalent among males, suburb school and vocational school students. Exposure to pro-tobacco and antitobacco messages, separately, increased and decreased the risk of current smoking and susceptibility to never-smokers’ smoking, respectively, especially among males and junior high school students. Risk was associated with the exposure level (p-trend<0.001). Tobacco control messaging was found to mitigate the influences of tobacco promotion on the risk of both current smoking (AOR=0.64; 95% CI: 0.41–0.99) and susceptibility to smoking (AOR=0.65; 95% CI: 0.46–0.93).CONCLUSIONSExposure to tobacco-related messages was highly prevalent and associated with youth smoking and susceptibility to smoking. It is therefore important to enhance the comprehensiveness and enforcement of promotion bans. Given that tobacco control information can counter the impact of tobacco promotion information on smoking risk, the publicity and dissemination of tobacco control information should be consistently strengthened.

show abstract

“…Lifestyle, socioeconomic differences such as education and income, low access to preventive health care services such as cholesterol screening, cardiac rehabilitation and a routine physical checkup [ 2 , 35 ].The distribution of common MI risk factors (obesity, smoking) and mortality rate were considerably high at rural areas compared to urban areas in USA. The smoking and obesity rates in US rural are 29.6 and 39.6% compared to 24.2 and 33.4% in the urban USA population respectively [ 36 , 37 ]. A higher AAIRMI in rural areas may be attributed to the difference in quality of life and lifestyle factors between rural and urban communities or it may arise from systematic differences between rural and urban cultures [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

Spatial and temporal analysis of myocardial infarction incidence in Zanjan province, Iran

Soleimani

Bagheri

2021

BMC Public Health

View full text Add to dashboard Cite

Background Myocardial Infarction (MI) is a major important public health concern and has huge burden on health system across the world. This study aimed to explore the spatial and temporal analysis of the incidence of MI to identify potential clusters of the incidence of MI patterns across rural areas in Zanjan province, Iran. Materials & methods This was a retrospective and geospatial analysis study of the incidence of MI data from nine hospitals during 2014–2018. Three different spatial analysis methods (Spatial autocorrelation, hot spot analysis and cluster and outlier analysis) were used to identify potential clusters and high-risk areas of the incidence of MI at the study area. Results Three thousand eight hundred twenty patients were registered at Zanjan hospitals due to MI during 2014–2018. The overall age-adjusted incidence rate of MI was 343 cases per 100,000 person which was raised from 88 cases in 2014 to 114 cases in 2018 per 100,000 person-year (a 30% increase, P < 0.001). Golabar region had the highest age-adjusted incidence rate of MI (515 cases per 100,000 person). Five hot spots and one high-high cluster were detected using spatial analysis methods. Conclusion This study showed that there is a great deal of spatial variations in the pattern of the incidence of MI in Zanjan province. The high incidence rate of MI in the study area compared to the national average, is a warning to local health authorities to determine the possible causes of disease incidence and potential drivers of high-risk areas. The spatial cluster analysis provides new evidence for policy-makers to design tailored interventions to reduce the incidence of MI and allocate health resource to unmet need areas.

show abstract

Urban and rural disparity in tobacco use and knowledge about oral cancer among adolescents: An epidemiological survey on 12 and 15-year school going students

Cited by 12 publications

References 19 publications

Cardiovascular disease risk factors among school children of Bangladesh: a cross-sectional study

Cardiovascular disease risk factors among school children of Bangladesh: a cross-sectional study

The influence and interaction of exposure to pro-smoking and anti-smoking messaging on youth smoking behaviour and susceptibility

Spatial and temporal analysis of myocardial infarction incidence in Zanjan province, Iran

Contact Info

Product

Resources

About