scholarly journals Prescription Pain Reliever Use and Misuse Among Marijuana Users Age 50+ Years

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 54-55
Author(s):  
Namkee Choi ◽  
Diana DiNitto
Keyword(s):  
Older Adults ◽  
Drug Use ◽  
Mental Health Problems ◽  
Age Groups ◽  
Medical Marijuana ◽  
Marijuana Use ◽  
Physical And Mental Health ◽  
Pain Reliever ◽  
The Past ◽  
Drug Use Disorders

Abstract Marijuana use among individuals aged 50+ has steadily increased over the past decade, with 8% reporting past-year use in 2018. National epidemiologic data also showed a 36% rate of past-year prescription pain reliever (PPNR) use in the 50+ age group in 2018, a decrease from 40% in 2015, but still significantly higher than for younger age groups. Little research has, however, focused on older adults’ dual recreational and/or medical marijuana and PPNR use. This study, based on the 2015-2018 National Survey of Drug Use and Health, examined rates and correlates of dual marijuana and PPNR use and misuse among those aged 50+ who reported past-year marijuana use (N=2,632). Our findings showed that 43.6% of past-year marijuana users did not use any PPNR, 47.1% used PPNR but did not misuse, and 9.4% misused PPNR in the past year, showing that one in six dual marijuana and PPNR users reported misusing PPNR. The risks of PPNR use/no misuse and PPNR misuse were higher among those who had more chronic medical conditions and major depressive episode. Additionally, the risk of PPNR use/no misuse was associated with high frequency and medical marijuana use; and the risk of PPNR misuse was associated with younger marijuana initiation age and marijuana and other illicit drug use disorders. Thus, correlates of dual marijuana and PPNR use/misuse among older adults are poor physical and mental health problems and problematic marijuana use. Older adults with marijuana and PPNR misuse need access to evidence-based treatments for pain management and substance misuse.

Obesity Physical and Mental Health Consequences in Ageing

2018 ◽  
pp. 288-302
Author(s):  
Gagan Chooramani ◽  
Barre Vijaya Prasad ◽  
Shamsi Akbar
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Mental Health Problems ◽  
Age Groups ◽  
World Health ◽  
Health Consequences ◽  
Physical And Mental Health ◽  
Global Epidemic ◽  
The World ◽  
Health Organization

This chapter describes the prevalence of obesity which is rising in all age groups. The World Health Organization declared obesity as a Global epidemic. There has been the abundance of research in all over the world that provides evidence for physical and mental health consequences of obesity. Obesity is considered as one of the leading cause of various non-communicable diseases. Higher body mass index and abdominal obesity are considered to be an independent risk factor that significantly contribute to the increased prevalence of Type 2 diabetes, cardiovascular diseases and hypertension, metabolic disorders along with various mental health problems among elderly. Geriatric obesity further affects the treatment process, outcome, quality and quantity of life older adults. It also increases the risk of disability among older adults.

Abstract 228: National Prevalence of Substance Use Disorders Among Hospitalized Heart Failure Patients

2018 ◽  
Vol 11 (suppl_1) ◽  
Author(s):  
Sarah C Snow ◽  
Gregg C Fonarow ◽  
Joseph A Ladapo ◽  
Donna L Washington ◽  
Katherine Hoggatt ◽  
...  
Keyword(s):  
Heart Failure ◽  
Substance Use ◽  
Native American ◽  
Drug Use ◽  
Substance Use Disorders ◽  
Age Groups ◽  
Opioid Use ◽  
Drug Use Disorders ◽  
Increased Risk ◽  
Drug Use Disorder

Background: Several cardiotoxic substances contribute to the development of heart failure (HF). The burden of comorbid substance use disorders (SUD) among patients with HF is under-characterized. Objectives: To describe the national burden of comorbid SUD (tobacco, alcohol, or drug use disorders) among hospitalized HF patients in the U.S. Methods: We used data from the 2014 National Inpatient Sample to calculate the proportion of hospitalizations for a primary HF admission with tobacco, alcohol, or drug use disorder diagnoses, accounting for demographic factors. Drug use disorder analysis was further sub-divided into specific illicit substance categories. Results: There were a total of 989,080 HF hospitalizations of which 35.3% (n=348,995) had a documented SUD. Tobacco use disorder (TUD) was most common (n= 327,220, 33.1%) followed by drug use disorder (DUD) (n=34,600, 3.5%) and alcohol use disorder (AUD) (n=34,285, 3.5%). Female sex was associated with less TUD (OR 0.59; 95% CI, 0.58-0.60), AUD (OR 0.23; 95% CI, 0.22-0.25) or DUD (OR 0.58; 95% CI 0.55-0.62). Tobacco, alcohol, cocaine, and opioid use disorders were highest among HF patients age 45 to 55, while cannabis and amphetamine use was highest in those <45 years. Native American race (versus White) was associated with increased risk of AUD (OR 1.67; 95% CI 1.27-2.20). Black race was associated with increased risk of AUD (OR 1.09; 95% CI 1.02-1.16) or DUD (OR 1.63; 95% CI 1.53-1.74). Medicaid insurance (versus Medicare) was associated with greater TUD (OR 1.27; 95% CI 1.23-1.32), AUD (OR 1.74; 95% CI 1.62-1.87), and DUD (OR 2.15; 95% CI 2.01-2.30). Decreasing quartiles of median household income were associated with increasing SUD. Conclusions: Comorbid SUD disproportionately affects certain HF populations, including men, younger age groups, lower SES patients, and race/ethnic minorities. Further research on interventions to improve prevention and treatment of SUD among hospitalized HF patients are needed given the high rates of SUD in this population. Systematically screening hospitalized HF patients for SUD may reveal opportunities for treatment and secondary prevention.

scholarly journals Residential Mobility, Transience, Depression, and Marijuana Use Initiation Among Adolescents and Young Adults

2017 ◽  
Vol 11 ◽  
pp. 117822181771141 ◽  
Author(s):  
Cristie Glasheen ◽  
Valerie L Forman-Hoffman ◽  
Jason Williams
Keyword(s):  
Young Adults ◽  
Mental Health Professionals ◽  
Residential Mobility ◽  
High Mobility ◽  
School Personnel ◽  
Marijuana Use ◽  
Young Adolescents ◽  
Physical And Mental Health ◽  
Logistic Regression Models ◽  
The Past

Marijuana use initiation is associated with numerous health and behavioral consequences, particularly among young adolescents. Finding easily identifiable risk markers for marijuana initiation is an important step for targeting primary and secondary prevention efforts. This study used data from the 2010-2014 National Survey on Drug Use and Health to evaluate the association between residential mobility (no mobility, low mobility, high mobility [ie, transience]), and major depressive episode(s) (MDE) on marijuana initiation among adolescents (12-17) and young adults (18-20). Age-stratified logistic regression models indicated that among 12- to 13-year-old adolescents, mobility in the past 5 years and past year MDE have a multiplicative effect on the odds of past year marijuana initiation. Among adolescents aged 14 to 15 years, both mobility and MDE were independently associated with marijuana initiation, but there was no interaction. Among older adolescents (aged 16-17 years), only transience (⩾3 moves in the past 5 years) was associated with marijuana use initiation, and although MDE was significantly associated with marijuana initiation, there was no interaction with mobility. Among young adults, mobility was not associated with marijuana initiation. Residential mobility among young adolescents is an easily identifiable risk marker that may serve as an indicator for physical and mental health professionals, school personnel, and parents to use in targeting both depression and marijuana prevention efforts.

Oncologists' perspectives on medical marijuana use by older adults

2020 ◽  
Vol 11 (6) ◽  
pp. 1034-1037
Author(s):  
Desiree R. Azizoddin ◽  
Andrea C. Enzinger ◽  
Alexi A. Wright ◽  
Miryam Yusufov ◽  
James A. Tulsky ◽  
...  
Keyword(s):  
Older Adults ◽  
Medical Marijuana ◽  
Marijuana Use ◽  
Medical Marijuana Use

scholarly journals USING COMMUNITY-BASED MODELS TO PROVIDE INTEGRATED CARE FOR RURAL OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S553-S553
Author(s):  
Martha R Crowther ◽  
Cassandra D Ford
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Rural Communities ◽  
Mental Health Problems ◽  
Health Care Systems ◽  
Physical And Mental Health ◽  
Community Based ◽  
Psychosocial Services ◽  
Care Systems ◽  
Rural Older Adults

Abstract Rural elders are one of the most at-risk populations for experiencing physical and mental health problems. In many rural communities, there are no psychosocial services available to meet the needs of the rural elderly. To provide rural older adults with integrated healthcare, we build upon our existing community-based infrastructure that has fostered community capacity for active engagement in clinical activities and has served as a catalyst to increase participation of rural older adults in clinical services. Our rural community model draws upon the role of culture in promoting health among rural older adults to provide rural service delivery. This model is built upon our network of partnerships with surrounding communities, including potential research participants, community-based organizations, community leaders, and community health-care systems and providers. By engaging the community we can create a sustainable system that will encourage rural older adults to utilize the health care system at a higher rate.

Older Adults Driving Under the Influence: Associations With Marijuana Use, Marijuana Use Disorder, and Risk Perceptions

2017 ◽  
Vol 38 (12) ◽  
pp. 1687-1707 ◽  
Author(s):  
Namkee G. Choi ◽  
Diana M. DiNitto ◽  
C. Nathan Marti
Keyword(s):  
Older Adults ◽  
Drug Use ◽  
Risk Perceptions ◽  
Marijuana Use ◽  
Driving Under The Influence ◽  
Safe Driving ◽  
Marijuana Abuse ◽  
Appropriate Treatment ◽  
Other Substances ◽  
Age Appropriate

Despite increasing marijuana use among the 50+ age group, little research has been done on marijuana’s impact on older adults’ driving under the influence (DUI). Using the 2013 to 2014 National Survey on Drug Use and Health data, this study examined the association of older adults’ self-reported DUI with marijuana use, marijuana abuse/dependence, and marijuana risk perception. The findings show that one third of past-year marijuana users aged 50+ reported past-year DUI, two thirds of which involved drugs. Those with marijuana abuse/dependence were 2.6 times more likely than those without the disorder to report DUI, controlling for alcohol abuse/dependence, other illicit drug use, and sociodemographic and health/mental health statuses. As safe driving is key to prolonging independence in late life, clinicians need to educate older adults about the risk of marijuana use, alone and with other substances, on their driving capacity and provide age-appropriate treatment for marijuana use disorder.

Medical Marijuana Use in Older Adults

2018 ◽  
Vol 66 (5) ◽  
pp. 859-863 ◽  
Author(s):  
Joshua Briscoe ◽  
David Casarett
Keyword(s):  
Older Adults ◽  
Medical Marijuana ◽  
Marijuana Use ◽  
Medical Marijuana Use

scholarly journals Physical and Mental Health Differences Reported by Three Age Groups of Older Adults With Diabetes

2022 ◽  
Vol 8 ◽  
pp. 233372142110558
Author(s):  
Jungjoo Lee ◽  
Junhyung Kim ◽  
Richard Holden
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Social Life ◽  
Oldest Old ◽  
Age Groups ◽  
Analysis Of Covariance ◽  
Physical And Mental Health ◽  
Health Differences ◽  
Using Data ◽  
Univariate Analyses

Most studies have classified older adults with diabetes into one group despite substantial variation in health status across different stages of late adulthood. In this study, we examined difference in self-reported physical and mental health among three age groups of older adults with diabetes. Using data from the 2016 National Social Life, Health and Aging Project, Wave 3, we classified 424 individuals diagnosed with diabetes into three age groups, young-old (YO): 50–64 years; middle-old (MO): 65–74; and oldest old (OO): 75+ years. A one-way multivariate analysis of covariance was used to assess group differences, followed by univariate analyses. The results indicate that the YO group reported significantly lower physical health and higher depression than the MO group and higher levels of loneliness than the MO and OO groups. These findings indicate that physical and mental health may differ among different age groups of older adults with diabetes and suggest that the YO might be more vulnerable to diminished physical and mental health than the other age groups.

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