A Pilot Follow-Up Study of Older Alcohol-Dependent COGA Adults.
paper
Primary
Public
- Authors
- Chan, Grace; Kramer, John R; Schuckit, Marc A; Hesselbrock, Victor; Bucholz, Kathleen K; Edenberg, Howard J; Acion, Laura; Langbehn, Douglas; McCutcheon, Vivia; Nurnberger, John I; Hesselbrock, Michie; Porjesz, Bernice; Bierut, Laura; Marenna, Bethany C; Cookman, Angella; Kuperman, Samuel
- Year
- 2019
- Journal
- Alcoholism, clinical and experimental research
- PMID
- 31141183
- DOI
- 10.1111/acer.14116
- PMCID
- PMC6685546
BACKGROUND: Alcohol consumption and problems are increasing among older adults, who are at elevated risk for alcohol-related accidents and medical problems. This paper describes a pilot follow-up of older adults with a history of alcohol dependence that was designed to determine the feasibility of conducting a more extensive investigation. METHODS: The sample consisted of previously assessed subjects in the Collaborative Studies on the Genetics of Alcoholism who: (i) were age 50+; (ii) had lifetime DSM-IV AD; and (iii) had DNA available. Individuals were located through family contacts, Internet searches, and death registries. A brief telephone interview assessed demographics, health, and alcohol involvement. RESULTS: Of the total sample (N = 2,174), 36% were contacted, 24% were deceased, and 40% were not yet located. Most (89%) contacted subjects were interviewed, and 99% of them agreed to future evaluation. Thirty percent of interviewed subjects reported abstinence for 10+ years, 56% reported drinking within the past year, and 14% last drank between >1 and 10 years ago. There were no age-related past-year differences in weekly consumption (overall sample mean: 16 drinks), number of drinking weeks (30.8), maximum number of drinks in 24 hours (8.1), or prevalence of weekly risky drinking (19%). Among those who drank within the past 5 years, the 3 most common alcohol-related problems were spending excessive time drinking or recovering (49%), drinking more/longer than intended (35%), and driving while intoxicated (35%); and about a third (32%) received some form of treatment. CONCLUSIONS: Over a 1-year period, we located 60% of individuals last seen an average of 23 years ago. The majority of contacted individuals were interviewed and willing to be evaluated again. Although the proportion of individuals currently drinking diminished with age, subjects exhibited troublesome levels of alcohol consumption and problems. Our findings suggest the importance and feasibility of a more comprehensive follow-up.
Schematic Overview of the COGA Follow-Up Telephone Interview: Branching Logic Based on Date of Last Drink
LLM interpretation
This figure is a schematic flowchart illustrating the branching logic of the COGA follow-up telephone interview. The process begins with current demographics and health issues, followed by a decision point based on the "date of last drink." Depending on whether the last drink was $\le$1 year, $>1–\le5$ years, $>5–\le10$ years, or $>10$ years ago, participants are asked different sets of questions regarding alcohol consumption, related problems, and treatment before reaching the final "re-contact" stage.
Flow Chart of the COGA Older Alcohol Dependent Pilot Study* 2174 COGA participants were assessed and met criteria for lifetime DSM-IV alcohol dependence in 1991 – 2004, were born before 1967, and had contributed DNA
LLM interpretation
This is a flow chart illustrating the participant selection process for the COGA Older Alcohol Dependent Pilot Study. Starting from an initial pool of 2,174 participants, the cohort is divided into those alive and contacted (789), deceased (524), and those to be located (861). Of the 789 contacted participants, 706 were interviewed and 83 were not interviewed.
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| Name | Type |
|---|---|
| 50-54 year old subjects local | cohort |
| 55-59 year old subjects local | cohort |
| 60-64 year old subjects local | cohort |
| 65+ year old subjects local | cohort |
| abstinence | phenotype |
| Additional follow-up evaluation local | cohort |
| adolescents | cohort |
| Adults aged 60-64 local | cohort |
| Adults aged 65+ local | cohort |
| Affected sample local | cohort |
| age | phenotype |
| Age 50-54 local | cohort |
| Age 55-59 local | cohort |
| Age 60-64 local | cohort |
| age 65+ | cohort |
| age group | cohort |
| Age group 18-29 years | cohort |
| Age group 50-54 local | cohort |
| Age group 55-59 local | cohort |
| Age group 60-64 | cohort |
| Age group 65+ local | cohort |
| age of onset of DSM IV alcohol dependence local | phenotype |
| agoraphobia | phenotype |
| alcohol | phenotype |
| alcohol abuse | phenotype |
| Alcohol-consuming interviewees local | cohort |
| alcohol dependence | phenotype |
| Alcohol dependence (DSM‑IV) local | phenotype |
| Alcohol Dependence Symptoms | phenotype |
| Alcohol Problems | phenotype |
| Alcohol-related medical condition local | phenotype |
| alcohol-related symptoms local | phenotype |
| Alcohol Use | phenotype |
| Alcohol Use Disorder | phenotype |
| Alcohol withdrawal symptom local | phenotype |
| Alive local | phenotype |
| antisocial personality disorder | phenotype |
| ASPD | phenotype |
| AUD | phenotype |
| binge drinking | phenotype |
| Bingeing local | phenotype |
| Blackout local | phenotype |
| blood pressure | phenotype |
| Breslow et al. 2017 local | cohort |
| British civil servants local | cohort |
| cancer | phenotype |
| cardiovascular disease | phenotype |
| CBHSC local | cohort |
| civil servants local | cohort |
| clinic outpatients local | cohort |
| cocaine | phenotype |
| COGA older participants local | cohort |
| COGA sample | cohort |
| cognitive frailty local | phenotype |
| Collaborative Study on the Genetics of Alcoholism (COGA) | cohort |
| Community comparison families | cohort |
| community residents | cohort |
| consumption trajectories local | phenotype |
| Contacted local | cohort |
| current drinkers | phenotype |
| death | phenotype |
| Deceased local | cohort |
| Deceased local | phenotype |
| Deceased subjects | cohort |
| dementia | phenotype |
| dependence | phenotype |
| depression | phenotype |
| drinkers | phenotype |
| drinking | phenotype |
| drinking level | phenotype |
| DSM-IV alcohol dependence | phenotype |
| education | phenotype |
| EEG | phenotype |
| EEG/ERP local | drug |
| Emergency room local | phenotype |
| employment | phenotype |
| ERP | phenotype |
| European ancestry | cohort |
| executive functioning | phenotype |
| findgraves.com local | cohort |
| Follow-up study local | cohort |
| former students local | cohort |
| genetic data | drug |
| Grant et al. 2017 local | cohort |
| Harvard undergraduates local | cohort |
| heavy drinking | phenotype |
| high-risk consumption local | phenotype |
| high-risk families | cohort |
| Historically unaffected subjects local | cohort |
| human alcoholics | phenotype |
| impaired cognitive functioning local | phenotype |
| Impaired cognitive functioning local | phenotype |
| Indiana University School of Medicine | cohort |
| Inpatient local | phenotype |
| Interviewed local | cohort |
| interviewed subjects local | cohort |
| Interviewees local | cohort |
| Interviewees (drank within past 5 years) local | cohort |
| Knott et al. 2018 local | cohort |
| later life drinking local | phenotype |
| legacy.com local | cohort |
| Likely alive local | phenotype |
| living arrangements | phenotype |
| living subjects | cohort |
| Located local | cohort |
| Located living subjects local | cohort |
| major depressive disorder | phenotype |
| marijuana | phenotype |
| marijuana dependence | phenotype |
| marital status | phenotype |
| maxdrinks | phenotype |
| Maximum Habitual Alcohol Intake | phenotype |
| medical disorders | phenotype |
| medical problems | phenotype |
| medication | drug |
| memory | phenotype |
| Men aged 60+ | cohort |
| Mid 20s local | cohort |
| Mild cognitive impairment | phenotype |
| Mild or moderate impairment local | phenotype |
| Moderate cognitive impairment local | phenotype |
| mood disorders | phenotype |
| mortality | phenotype |
| National Death Index | cohort |
| National Epidemiologic Survey on Alcohol and Related Conditions | cohort |
| National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) local | cohort |
| National Health Interview Surveys local | cohort |
| National Health Interview Surveys (1997-2014) local | cohort |
| NESARC | cohort |
| NESARC-III | cohort |
| neuropsychological test performance | phenotype |
| no drinking within the past 10 years local | phenotype |
| no drinking within the past 5 years local | phenotype |
| no drinking within the past year local | phenotype |
| non-alcohol substance dependence disorders local | phenotype |
| non-interviewed subjects local | cohort |
| Not-Interviewed local | cohort |
| novelty seeking | phenotype |
| number of alcohol problems | phenotype |
| obituaries.com local | cohort |
| obsessive-compulsive disorder | phenotype |
| older adults | cohort |
| older age alcohol involvement local | phenotype |
| Older Alcohol Dependent Subjects local | cohort |
| older COGA participants local | cohort |
| Older COGA subjects local | cohort |
| older subjects local | cohort |
| opioid | drug |
| Other substance dependence local | drug |
| Outpatient local | phenotype |
| overall physical health local | phenotype |
| panic disorder | phenotype |
| participants | cohort |
| physical abuse | phenotype |
| Physical complications local | phenotype |
| physical frailty local | phenotype |
| physical health | phenotype |
| Positive Mental Health local | phenotype |
| Post-Traumatic Stress Disorder | phenotype |
| problematic alcohol involvement local | phenotype |
| problematic alcohol use | phenotype |
| problems | phenotype |
| psychiatric disorders | phenotype |
| registry-based population samples local | cohort |
| relative local | cohort |
| relative of prospective participant local | phenotype |
| reward sensitivity | phenotype |
| Self-help local | phenotype |
| Self-rated general health local | phenotype |
| Self-rated Physical Health local | phenotype |
| sex | phenotype |
| socially disadvantaged adolescents local | cohort |
| social phobia | phenotype |
| Social Security Death Index local | cohort |
| socioeconomic status | phenotype |
| specific medical conditions local | phenotype |
| subject located local | phenotype |
| subjects | cohort |
| substance use | phenotype |
| Successful quitting | phenotype |
| SUNY Brooklyn local | cohort |
| To Be Located local | cohort |
| Total sample (N=2,174) local | cohort |
| traumatic experiences | phenotype |
| treatment | phenotype |
| treatment for alcohol problems local | phenotype |
| Treatment for alcohol problems local | phenotype |
| University of California, San Diego local | cohort |
| University of Connecticut Health Center | cohort |
| University of Iowa | cohort |
| Valiant 2003 local | cohort |
| Vestal et al. 1977 local | cohort |
| Washington University in St. Louis local | cohort |
| weekly risky drinking local | phenotype |
| Weekly risky drinking local | phenotype |
| Willingness to participate again local | phenotype |
| willingness to take part in follow-up study local | phenotype |
| Women aged 60+ | cohort |
| Younger adults | cohort |
| younger subjects local | cohort |
| Younger women local | cohort |
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In this knowledge base
| Title | Year | PMID |
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| Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. | 2023 | 37232664 |
External
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|---|---|---|---|---|
| Associations of Psychological Distress and Alcohol Use Patterns Among Older Adults of Sexual Minority Status and Heterosexual Peers. | Tran CK et al. | — | 2023 | → |
| Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. | Kamarajan C et al. | — | 2023 | → |