Health risk behaviors in the state of Michigan: 2001 Behavioral Risk Factor Surveillance System

2003 ◽  
2005 ◽  
Vol 120 (2) ◽  
pp. 117-123 ◽  
Author(s):  
Lina S. Balluz ◽  
Catherine A. Okoro ◽  
Barbara A. Bowman ◽  
Mary K. Serdula ◽  
Ali H. Mokdad

Objective. The authors examined vitamin/supplement (V/S) use and its relationship to sociodemographics, health behaviors, and health conditions among adults in 13 states. Methods. This investigation used 2001 data from a cross-sectional study of non-institutionalized adults aged ⩾18 years, the Behavioral Risk Factor Surveillance System. Results. Of 45,415 respondents with complete data (18,723 males and 26,692 females), 56.5% ( n=5,652) reported current V/S use. After adjusting for age, sex, race/ethnicity, and education, the authors found a statistically significant association between V/S use and positive health risk behavior (adjusted odds ratio [OR] = 1.46; p<0.001). Also, V/S use was found to increase with age ( p<0.001). No association was found between V/S use and the absence of specific chronic disease conditions (adjusted OR=0.93; p=0.052). Conclusions. People who used V/S in the states surveyed were more likely to demonstrate positive health risk behaviors than those who did not report V/S use. Thus it appears that individuals who are most likely to use V/S are least likely to need V/S. It is crucial that individuals report quantity and frequency of V/S use when providing medical or diet histories to health care providers.


2020 ◽  
Vol 13 ◽  
pp. 318-321
Author(s):  
Mahmoud Al Rifai ◽  
Mohammadhassan Mirbolouk ◽  
Xiaoming Jia ◽  
Khurram Nasir ◽  
June Pickett ◽  
...  

Introduction: We studied prevalence of e-cigarette use among lesbian, gay, bisexual, and transgender (LGBT) individuals and its association with risk behaviors. Methods: Using data from the Behavioral Risk Factor Surveillance System (BRFSS) survey, we assessed self-reported sexual orientation, e-cigarette use, cigarettes, marijuana, smokeless tobacco, and high-risk behavior (using non-prescribed drugs, treatment for sexually transmitted disease, or receiving monetary or drug compensation in exchange for sex in the previous year). We used multivariable-adjusted logistic regression models to study the association between LGBT and risk behaviors. Results: Prevalence of e-cigarette use among LGBT adults was 13%, nearly twice that of heterosexual adults. LGBT were more likely [Odds Ratio (95% Confidence Interval)] to report current use of e-cigarettes 1.84 (1.64,2.06), cigarettes 1.61 (1.49,1.73), marijuana 2.37 (1.99,2.82), and high-risk behavior 3.69 (3.40,4.01) compared to heterosexual adults. Results for smokeless tobacco were not significant. Conclusion: There are disparities in e-cigarette and other risk behaviors among LGBT adults, which may increase risk of adverse health effects in this vulnerable population.


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