5 results on '"Jones, Candace K."'
Search Results
2. Gender differences in use of cigarette and non-cigarette tobacco products among adolescents aged 13–15 years in 20 African countries
- Author
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Agaku, Israel T., primary, Sulentic, Rose, additional, Dragicevic, Adriana, additional, Njie, Gibril, additional, Jones, Candace K., additional, Odani, Satomi, additional, Tsafa, Tina, additional, Gwar, Joy, additional, Vardavas, Constantine I., additional, and Ayo-Yusuf, Olalekan, additional
- Published
- 2024
- Full Text
- View/download PDF
3. Prevalence and associated factors of shisha smoking among students in Senegal: Global Youth Tobacco Survey 2020.
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Bai Cham, Weaver, Scott R., Jones, Candace K., Popova, Lucy, and Jacques, Nerline
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ADOLESCENT health ,RESEARCH funding ,SMOKING ,MULTIPLE regression analysis ,SEX distribution ,DESCRIPTIVE statistics ,DISEASE prevalence ,MULTIVARIATE analysis ,SURVEYS ,PUBLIC spaces ,ODDS ratio ,CONFIDENCE intervals ,SMOKELESS tobacco ,TOBACCO products ,PASSIVE smoking ,ADOLESCENCE - Abstract
INTRODUCTION Although shisha smoking is banned in Senegal, it has become increasingly popular, especially among youth. Despite the health risks associated with shisha smoking, there are few studies on shisha smoking in West Africa and none in Senegal. Our study assessed the prevalence and factors associated with shisha smoking among students aged 13-15 years in Senegal. METHODS We used the 2020 Global Youth Tobacco Survey (GYTS) Senegal data from 2524 students aged 13-15 years. We calculated the weighted prevalence of ever and current (past 30 days) shisha smoking. Multivariable logistic regression analyses identified factors associated with ever and current shisha smoking among students. RESULTS The prevalences of ever and current shisha smoking were 9.8% (95% CI: 7.7-12.3) and 2.2% (95% CI: 1.5-3.1), respectively. Ever shisha smoking was significantly associated with being male (AOR=1.97; 95% CI: 1.33-2.92), current cigarette smoking (AOR=7.54; 95% CI: 2.95-19.29), higher class grade (AOR=2.27; 95% CI:1.10-4.67), more weekly pocket money (AOR=3.29; 95% CI:1.36-7.95), current use of smokeless tobacco (AOR=11.53; 95% CI: 4.98-26.72), and exposure to secondhand cigarette smoke in public (AOR=1.55; 95% CI: 1.00-2.41). Current shisha smoking was significantly associated with current cigarette smoking (AOR=21.75; 95% CI: 6.08-77.78), more weekly pocket money (AOR=8.91; 95% CI: 1.75-45.40), current use of smokeless tobacco (AOR=8.26; 95% CI: 2.07-33.04), and fathers' smoking (AOR=3.34; 95% CI: 1.24-8.96). CONCLUSIONS One in 10 students aged 13-15 years have ever smoked shisha and 2.2% were currently smoking it, suggesting that shisha smoking is a public health concern in Senegal. Senegal might consider offering students more education on the harms of shisha, both in schools and through comprehensive media campaigns that address all tobacco products. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
4. Surveillance for Certain Health Behaviors Among States and Selected Local Areas — United States, 2010
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Xu, Fang, Town, Machell, Balluz, Lina S., Bartoli, William P., Murphy, Wilmon, Chowdhury, Pranesh P., Garvin, William S., Pierannunzi, Carol, Zhong, Yuna, Salandy, Simone W., Jones, Candace K., and Crawford, Carol A.
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- 2013
5. Surveillance for Certain Health Behaviors Among States and Selected Local Areas -- United States, 2010.
- Author
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Fang Xu, Town, Machell, Balluz, Lina S., Bartoli, William P., Murphy, Wilmon, Chowdhury, Pranesh P., Garvin, William S., Pierannunzi, Carol, Zhong, Yuna, Salandy, Simone W., Jones, Candace K., and Crawford, Carol A.
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HEALTH surveys ,HEALTH behavior ,MORTALITY ,PUBLIC health ,HEART disease related mortality ,CHRONIC diseases ,STATISTICS - Abstract
Problem: Chronic diseases (e.g., heart disease, stroke, cancer, and diabetes) are the leading causes of morbidity and mortality in the United States. Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs. Monitoring and evaluating health-risk behaviors and the use of health services is essential to developing intervention programs, promotion strategies, and health policies that address public health at multiple levels, including state, territory, metropolitan and micropolitan statistical area (MMSA), and county. Reporting Period: January-December 2010. Description of the System: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services and practices related to the leading causes of death and disabilities in the United States. This report presents results for 2010 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the U.S. Virgin Islands, 192 MMSAs, and 302 counties. Results: In 2010, the estimated prevalence of high-risk health behaviors, chronic diseases and conditions, a-ccess to health care, and use of preventive health services varied substantially by state and territory, MMSA, and county. In the following summary of results, each set of proportions refers to the range of estimated prevalence for the disease, condition, or behaviors, as reported by survey respondents. Adults reporting good or better health: 67.9%-89.3% for states and territories, 72.2%-92.1% for MMSAs, and 72.8%-95.8% for counties. Adults with health-care coverage: 69.4%-95.7% for states and territories, 45.7%-97.0% for MMSAs, and 45.7%-97.2% for counties. Adults who had a dental visit in the past year: 57.2%-81.7% for states and territories, 47.1%-83.5% for MMSAs, and 47.1%-88.2% for counties. Adults aged ≥65 years having had all their natural teeth extracted (edentulism): 7.4%-36.0% for states and territories, 4.8%-34.8% for MMSAs, and 2.4%-39.3% for counties. A routine physical checkup during the preceding 12 months: 53.8%-80.0% for states and territories, 49.5%-82.6% for MMSAs, and 49.5%-85.3% for counties. Influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.9%-73.4% for states and territories, 51.7%-77.1% for MMSAs, and 49.3%-87.8% for counties. Pneumococcal vaccination ever received among adults aged ≥65 years: 24.7%-74.0% for states and territories, 48.6%-79.9% for MMSAs, and 47.6%-83.1% for counties. Sigmoidoscopy or colonoscopy ever received among adults aged ≥50 years: 37.8%-75.7% for states and territories, 37.3%-79.9% for MMSAs, and 37.3%-82.5% for counties. Blood stool test received during the preceding 2 years among adults aged ≥50 years: 8.5%-27.0% for states and territories, 6.7%-51.3% for MMSAs, and 6.8%-57.2% for counties. Women who reported having had a Papanicolaou test during the preceding 3 years: 67.8%-88.9% for states and territories, 63.3%-91.2% for MMSAs, and 63.2%-95.7% for counties. Women aged ≥40 years who had a mammogram during the preceding 2 years: 63.8%-83.6% for states and territories, 60.3%-86.2% for MMSAs, and 59.3%-89.7% for counties. Current cigarette smokers: 5.8%-26.8% for states and territories, 5.8%-28.5% for MMSAs, and 5.9%-29.8% for counties. Binge drinking during the preceding month: 6.6%-21.6% for states and territories, 3.6%-23.0% for MMSAs, and 3.8%-24.0% for counties. Heavy drinking during the preceding month: 2.0%-7.2% for states and territories, 1.0%-10.0% for MMSAs, and 1.0%-14.2% for counties. Adults reporting no leisure-time physical activity: 17.5%-42.3% for states and territories, 13.1%-37.6% for MMSAs, and 8.5%-39.0% for counties. Adults who were overweight: 32.6%-40.7% for states and territories, 28.5%-42.5% for MMSAs, and 27.2%-46.4% for counties. Adults aged =20 years who were obese: 22.1%-35.0% for states and territories, 17.1%-42.1% for MMSAs, and 13.3%-42.1% for counties. Adults with current asthma: 5.2%-11.1% for states and territories, 3.4%-14.5% for MMSAs, and 3.3%-14.6% for counties. Adults with diagnosed diabetes: 5.3%-13.2% for states and territories, 4.6%-15.4% for MMSAs, and 2.6%-18.8% for counties. Adults with limited activities because of physical, mental or emotional problems: 10.8%-28.2% for states and territories, 13.5%-38.3% for MMSAs, and 11.7%-32.0% for counties. Adults using special equipment because of any health problem: 2.8%-10.6% for states and territories, 4.5%-15.5% for MMSAs, and 1.3%-15.5% for counties. Adults aged 5 years who have had coronary heart disease: 5.3%-16.7% for states and territories, 6.5%-19.6% for MMSAs, and 4.9%-19.6% for counties. Adults aged ≥45 years who have had a stroke: 2.4%-7.1% for states and territories, 2.3%-8.8% for MSMAs, and 1.7%-8.8% for counties. Interpretation: The findings in this report indicate substantial variations in the health-risk behaviors, chronic diseases and conditions, access to health-care services, and the use of the preventive health services among U.S. adults at the state and territory, MMSA, and county levels. Healthy People 2010 (HP 2010) objectives were established to monitor health behaviors, conditions, and the use of preventive health services for the first decade of the 2000s. The findings in this report indicate that many of the HP 2010 objectives were not achieved by 2010. The findings underscore the continued need for surveillance of health-risk behaviors, chronic diseases, and conditions and of the use of preventive health-care services. Public Health Action: Local and state health departments and federal agencies use BRFSS data to identify populations at high risk for certain health-risk behaviors, chronic diseases, and conditions and to evaluate the use of preventive health-care services. BRFSS data also are used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality from chronic conditions and corresponding health-risk behaviors. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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