scholarly journals Caregivers' Cannabis Use: Does Burden Lead to Blunts?

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 511-511
Author(s):  
Kanika Arora
Keyword(s):  
Health Behaviors ◽  
Marijuana Use ◽  
Informal Caregiving ◽  
Care Recipient ◽  
Behavioral Risk ◽  
Older Individuals ◽  
Multivariable Logistic Regression Model ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
Using Data

Abstract Research on risky health behaviors among caregivers is limited. In this paper, we examine the association between informal caregiving and marijuana use and whether this association varies by age. Using data from Behavioral Risk Factor Surveillance System (2016-2019), a multivariable logistic regression model compared marijuana use in “caregivers” and “expectant caregivers.” We stratified the analyses by age and also assessed the association between caregiving intensity and marijuana use. Among younger individuals (18-49 years), informal caregiving was associated with higher odds of marijuana use. In this group, higher prevalence of marijuana use was positively associated with care intensity. There was no detectable association between caregiving and marijuana use among older individuals (50 years or older). Health behaviors among caregivers differ by age. Combined exposure to informal caregiving and marijuana in young adulthood may lead to adverse long-term health consequences. Immediate effects of marijuana use may negatively influence care recipient outcomes.

Marijuana use among US adults with cancer: Findings from the 2018-2019 Behavioral Risk Factor Surveillance System.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 12088-12088
Author(s):  
Min Jee Lee ◽  
Ramzi Salloum ◽  
Arun Sharma
Keyword(s):  
South Carolina ◽  
Cancer Survivors ◽  
New Hampshire ◽  
Marijuana Use ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Factors Associated ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
Adult Cancer Survivors

12088 Background: Cancer survivors experiencing adverse effects from their cancer and treatment report decreased symptom burden with marijuana use. An increasing number of U.S. states have legalized marijuana use for both medical and recreational purposes. This study aimed to assess the prevalence of current marijuana use and to identify the factors associated with its use among US adults with cancer living in 17 U.S. states and territories. Methods: Data from the 2018-2019 Behavioral Risk Factor Surveillance System Marijuana Use module were analyzed. In 2018, 13 states (California, Florida, Idaho, Maryland, Minnesota, Montana, New Hampshire, North Dakota, Ohio, South Carolina, Tennessee, West Virginia, and Wyoming) and 2 territories (Guam and Puerto Rico) participated in the optional marijuana use module. In 2019, 12 states (California, Idaho, Illinois, Maryland, Minnesota, New Hampshire, North Dakota, South Carolina, Tennessee, Utah, West Virginia, and Wyoming) and 1 territory (Guam) participated in the optional marijuana use module. The analytic sample included 13,174 adults with cancer. The analysis was weighted to account for BRFSS’s complex survey design. The primary outcome was current marijuana use (in the past 30-days). Multivariable logistic regression was used to identify demographic, socioeconomic, clinical, and behavioral factors associated with marijuana use among US adults with cancer. Results: Overall, 9.2% of adult cancer survivors (n = 13,174; weighted 5.7 million; 37.9% men) reported marijuana recently current use, 51.3% of whom used it for medical reasons only, with 65.2% reporting smoking as the main method of administration. Adult cancer survivors were significantly more like to use marijuana if they were younger (odds ratio [OR] for 55-64 versus 18-44 years old: 0.60; 95% CI: 0.38-0.93; P < 0.01); male (OR for female versus male: 0.65; 95% CI: 0.48-0.87; P < 0.01); non-Hispanic Black race/ethnicity (OR: 2.00; 95% CI: 1.21-3.33; P < 0.01); having depression (OR: 1.58; 95% CI: 1.17-2.14; P < 0.01) and current (OR: 3.23; 95% CI: 2.20-4.74; P < 0.01) or former tobacco smoker (OR: 2.40; 95% CI: 1.70-3.38; P < 0.01) and binge drinker (OR: 2.25; 95% CI: 1.53-3.29; P < 0.01). Conclusions: Among a large cohort of US adults with cancer, marijuana use was commonly reported and certain subgroups were at higher risk for marijuana use. Health professionals should identify the risk factors for elevated marijuana use, especially as more states legalize medical and recreational marijuana use despite uncertain health risks.

scholarly journals ED Visits Related to Marijuana Exposures in the Denver Metropolitan Area of Colorado

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Yushiuan Chen ◽  
Michele Askenazi ◽  
Kathryn H. DeYoung ◽  
Bernadette Albanese ◽  
Lourdes W. Yun ◽  
...  
Keyword(s):  
Surveillance System ◽  
Geographic Location ◽  
Marijuana Use ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Geographic Disparities ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
Usage Patterns ◽  
Ed Visits

To explore whether disparities exist among persons seeking emergency department (ED) care related to marijuana use, we developed marijuana case (MJCs) definitions, provided an overview of the prevalence of ED visits related to marijuana use, and identified differences in MJCs by age, gender, and geographic location. Males and persons aged 18-44 years constituted a higher proportion of MJCs, which may be related to differences in usage patterns as identified by the BehaviOral Risk Factor Surveillance System. Denver and Arapahoe Counties had a higher percentage of pediatric MJCs. More advanced spatial analysis will describe details of geographic disparities in the research.

When American Adults Do Move, How Do They Do So? Trends in Physical Activity Intensity, Type, and Modality: 1988–2017

2021 ◽  
pp. 1-18
Author(s):  
Matthew A. Ladwig ◽  
Christopher N. Sciamanna ◽  
Brandon J. Auer ◽  
Tamara K. Oser ◽  
Jonathan G. Stine ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activities ◽  
Behavioral Risk ◽  
Physical Activity Intensity ◽  
Activity Intensity ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
Using Data ◽  
Sport And Exercise ◽  
Over Time

Background: Few Americans accumulate enough physical activity (PA) to realize its benefits. Understanding how and why individuals use their discretionary time for different forms of PA could help identify and rectify issues that drive individuals away from certain physical activities, and leverage successful strategies to increase participation in others. Methods: The authors analyzed approximately 30 years of changes in PA behavior by intensity, type, and mode, using data from the Behavioral Risk Factor Surveillance System. Results: Since 1988, the proportions of adults most frequently engaging in exercise, sport, or lifestyle physical activity have changed noticeably. The most apparent changes from 1988 to 2017 were the proportions most frequently engaging in Exercise and Sport. In addition, the proportion of time reportedly spent in vigorous-intensity PA decreased over time, particularly among male respondents. Moreover, the proportion of Americans reporting an “Other” PA mode increased substantially, suggesting a growing need for a greater variety of easily accessible options for adult PA. Conclusions: Over time, a smaller proportion of American adults reported participating in sport and exercise modalities and reported engaging more frequently in low-intensity physical activities.

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