| Source and Link |
Level of Data |
Description of Data/ Information |
| Black, Pamela and Lauren J Joseph: “Still Dazed and Confused: midlife marijuana use by the baby boom generation” |
National |
Statistics on marijuana use in older adults
- 80% of marijuana users 50+ perceived no or only slight risk in smoking marijuana
|
| CDC’s Behavioral Risk Factor Surveillance System (BRFSS) |
State |
Health-related telephone surveys that collect data on risk behaviors, chronic health conditions, and use of preventative services.
- Number of mentally unhealthy days
|
| Cheeta S, Halil A, Kenny M, Sheehan E, Zamyadi R, Williams AL, Webb L: “Does perception of drug-related harm change with age? A cross-sectional online survey of young and older people.” |
National |
Perception of harm with alcohol stratified by age group.
- 45+ age group did not perceive alcohol as any more harmful than the younger group
- Perceptions of drug-related harms were inconsistent with current knowledge from research on drugs
- This survey demonstrates that the greatest misperception was in relation to alcohol-related harms which did not change with age
|
| County Business Patterns |
County |
Sectors of work broken down by county |
| DataUSA |
County, State, National |
Compares different counties’ demographic data
- Poverty rate
- Median household income
- Employed population
- Citizenship rates and foreign-born populations
|
| Dinitto DM, Choi NG: “Marijuana use among older adults in the USA: user characteristics, patterns of use, and implications for intervention” |
National |
Rates of marijuana use among older adults, as well as associated risk factors for older adults who reported use.
- 2.8% of surveyed adults were past-year marijuana users. Of them, 23% had used marijuana on at least half the days of the year.
- Past-year marijuana users were more likely to be younger, black, and not married, and reported higher psychological distress.
|
| Healthy Living: A Look at How African American Older Adults Are Managing Their Emotional And Mental Well-Being |
National |
Mental and emotional health impacts on African American Older Adults due to COVID-19 |
| Indiana Department of Health (IDOH) Drug Overdose Dashboard |
County and State |
County response systems (OFR, Syringe Exchange, etc.) and opioid prescription rates
- Opioid prescription rates
- Hospital discharges
- Overdose deaths
|
| Indiana INdicators |
County and State |
Health dashboard that allows you to see county-level snapshot of important health trends and 4-year change in trends for any given indicator
- Access to care
- Cancer rates
- Disease prevention
- Adults reporting fair health
- Mental health
|
| IPRC Regional Data (Epidemiological Data) |
County |
Population counts, economic indicators
- Substance Use treatment episodes
- Non-fatal emergency department visits involving opioids
- School suspensions or expulsions related to alcohol, tobacco, and/or drug use
|
| Kathleen Cameron, National Center On Aging, “Navigating Social Isolation and Loneliness as an Older Adult” |
National |
- Social isolation and loneliness, despite being different, are connected and can deeply impact the quality of life for older adults
- The physical, emotional, and mental health of older adults is directly impacted by social connection.
- There are proactive steps older adults can take to reduce harmful effects related to isolation and loneliness
|
| Kuberis A, Sacco P, Blazer DG, Moore AA: “Substance Abuse Among Older Adults” |
National |
How self-efficacy and motivation to change affect substance use and mental health in older adults.
- Older adults were found to be less strongly motivated to change their drinking than their younger counterparts, as they did not perceive their alcohol use as being particularly severe.
- Low self-efficacy is related to fewer health-promotion behaviors among older adults because they perceive their physical limitations as an unavoidable component of aging.
|
| Minkler M, Fuller-Thompson E: “The Health of Grandparents Raising Grandchildren: Results of a National Study” |
National |
- Custodial grandparents were significantly more likely to have limitations in 4 of the 5 activities of daily living (ADLs) examined, with more than half reporting some limitation in 1 of the 5 ADLs. Caregiving grandparents had 50% higher odds of having an ADL limitation.
- Caregivers were significantly more likely to report lower satisfaction with health, and a statistical trend indicated that the caregivers had lower self-rated health.
|
| National Alliance on Mental Illness (NAMI) |
State and National |
Shares national and state statistics on mental illness and its far-reaching impacts.
- Rate of adults who experience mental illness each year
- Impact of COVID-19 on mental health
- Barriers to seeking mental health care
|
| National Center for Drug Abuse Statistics (NCDAS) Drug Overdose Death Rates |
State and National |
- Drug overdose deaths per year
- What proportion of all deaths were drug overdoses
- OD death rate change year to year
- Comparing national average of OD death rate to Indiana
- What percentage of OD deaths nation-wide occurred in Indiana
- Drug-specific statistics for abuse
|
| National Survey on Drug Use and Health (NSDUH) |
National |
Data on various drug-related and risk factor behaviors.
- Initiation of substance use
- Perceived risk of substance use
- Major depressive episodes in the past year
- Any mental illness among adults in the past year
- Serious mental illness among adults in the past year
- Suicidal thoughts and behaviors among adults
- Perceived recovery
- Substance use, mental health issues, and the COVID-19 pandemic.
|
| NCDAS Drug Overdose Death Rates |
State and National |
- Drug overdose death rates per year
- What proportion of all deaths were drug overdoses
- OD death rate change year to year
- Comparing national average of OD death rate to Indiana
- What percentages of OD deaths nation-wide occurred in Indiana
- Drug-specific statistics for abuse
|
| Next Level Recovery Data Dashboard |
County and State |
Hospital discharges, deaths from drug overdose, naloxone administration rate |
| SAMHSA and NSDUH’s Behavioral Health Barometer: State Barometers |
State |
Provides an annual update on a series of topics that focus on substance use and mental health (collectively referred to as behavioral health)
- Young adult mental health
|
| State Epidemiological Outcomes Workgroup (SEOW) Dashboard |
County, State, National |
Dashboard put together by SEOW based on years’ worth of reports on the epidemiological data regarding substance use and abuse in Indiana that can then be compared with data from the United States
|
| State Epidemiological Outcomes Workgroup (SEOW) Reports |
County, State, National |
Yearly State Epidemiological Profile and research briefs on substance misuse as well as related factors such as mental health |
| The State of Mental Health and Aging in America |
National |
Reviews existing data and lays the foundation for understanding key issues related to mental health in adults over 50. Also has some key statistics that point out the different experiences of 50-64 year-olds compared to 65+ year-olds.
- Adults aged 50-64 more likely than adults aged 65 or older to report that they were dissatisfied or very dissatisfied with their lives (5.8% vs 3.5%)
|
| The White House: Reducing the Economic Burden of Unmet Mental Health Needs |
National |
The current state of mental health in the US and explanation of why care is not accessed (cost of mental health care is burdensome) |
| United Health Foundation American’s Health Rankings |
State and National |
Allows you to compare Indiana to the rest of the United States on a variety of health measures listed below.
- For each specific health measure, gives you a breakdown of the subpopulations within that measure (i.e. the percentage of older adults who use e-cigarettes)
- There are other measures besides health that can be viewed which include social/economic factors, physical environment, and demographics.
|
| US Census Bureau |
County, State, National |
Percentage of the population in certain age brackets, Population growth numbers, life expectancy, median household income |
