1
|
Tam CC, Kerr WC, Cook WK, Li L. At-Risk Drinking in US Adults with Health Conditions: Differences by Gender, Race, and Ethnicity in the National Survey of Drug Use and Health, 2015-2019. J Racial Ethn Health Disparities 2024; 11:1444-1453. [PMID: 37219733 PMCID: PMC10729902 DOI: 10.1007/s40615-023-01621-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/26/2023] [Accepted: 04/30/2023] [Indexed: 05/24/2023]
Abstract
Few studies in the US address alcohol consumption patterns in adults with chronic health conditions, and little is known about race and ethnicity differences. This study examined at-risk drinking prevalence rates among US adults with hypertension, diabetes, heart condition or cancer and assessed differences by gender and, among adults aged 50 and older, by race and ethnicity. We used data from the 2015-2019 National Survey on Drug Use and Health (N = 209,183) to estimate (1) prevalence rates and (2) multivariable logistic regression models predicting odds of at-risk drinking among adults with hypertension, diabetes, heart condition, or cancer, compared to adults with none of these conditions. To examine subgroup differences, analyses were stratified by gender (ages 18-49 and ages 50 +) and by gender and race and ethnicity for adults ages 50 + . Results showed that all adults with diabetes and women ages 50 + with heart conditions in the full sample had lower odds of at-risk drinking relative to their counterparts without any of the four conditions. Men ages 50 + with hypertension had greater odds. In race and ethnicity assessments among adults ages 50 + , only non-Hispanic White (NHW) men and women with diabetes and heart conditions had lower odds, and NHW men and women and Hispanic men with hypertension had greater odds of at-risk drinking. There were differential associations of at-risk drinking with demographic and lifestyle indicators across race and ethnicity groups. These findings underscore tailored efforts in community and clinical settings to reduce at-risk drinking in subgroups with health condition diagnoses.
Collapse
Affiliation(s)
- Christina C Tam
- Alcohol Research Group, Public Health Institute, 6001 Shellmound Street, Suite 450, Emeryville, CA, 94608-1010, USA.
| | - William C Kerr
- Alcohol Research Group, Public Health Institute, 6001 Shellmound Street, Suite 450, Emeryville, CA, 94608-1010, USA
| | - Won Kim Cook
- Alcohol Research Group, Public Health Institute, 6001 Shellmound Street, Suite 450, Emeryville, CA, 94608-1010, USA
| | - Libo Li
- Alcohol Research Group, Public Health Institute, 6001 Shellmound Street, Suite 450, Emeryville, CA, 94608-1010, USA
| |
Collapse
|
2
|
Ortolá R, García-Esquinas E, Buño-Soto A, Carballo-Casla A, Sotos-Prieto M, Banegas JR, Rodríguez-Artalejo F. Alcohol consumption patterns and growth differentiation factor 15 among life-time drinkers aged 65+ years in Spain: a cross-sectional study. Addiction 2022; 117:1647-1657. [PMID: 35072312 DOI: 10.1111/add.15809] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 01/10/2022] [Indexed: 12/18/2022]
Abstract
AIMS To examine the association of alcohol consumption patterns with growth differentiation factor 15 (GDF-15) in older drinkers, separately among individuals with cardiovascular disease (CVD)/diabetes and those without them, as GDF-15 is a strong biomarker of chronic disease burden. DESIGN Cross-sectional study. SETTING Population-based study in Madrid (Spain). PARTICIPANTS A total of 2051 life-time drinkers aged 65+ years included in the Seniors-ENRICA-2 study in 2015-17. Participants' mean age was 71.4 years and 55.4% were men. MEASUREMENTS According to their average life-time alcohol intake, participants were classified as occasional (≤ 1.43 g/day), low-risk (men: > 1.43-20 g/day; women: > 1.43-10 g/day), moderate-risk (men: > 20-40 g/day; women: > 10-20 g/day) and high-risk drinkers (men: > 40 g/day; women: > 20 g/day; or binge drinkers). We also ascertained wine preference (> 80% of alcohol derived from wine), drinking with meals and adherence to a Mediterranean drinking pattern (MDP) defined as low-risk drinking, wine preference and one of the following: drinking only with meals; higher adherence to the Mediterranean diet; or any of these. FINDINGS In participants without CVD/diabetes, GDF-15 increased by 0.27% [95% confidence interval (CI) = 0.06%, 0.48%] per 1 g/day increment in alcohol among high-risk drinkers, but there was no clear evidence of association in those with lower intakes or in the overall group, or across categories of alcohol consumption status. Conversely, among those with CVD/diabetes, GDF-15 rose by 0.19% (95% CI = 0.05%, 0.33%) per 1 g/day increment in the overall group and GDF-15 was 26.89% (95% CI = 12.93%, 42.58%) higher in high-risk versus low-risk drinkers. Drinking with meals did not appear to be related to GDF-15, but among those without CVD/diabetes, wine preference and adherence to the MDP were associated with lower GDF-15, especially when combined with high adherence to the Mediterranean diet. CONCLUSIONS Among older life-time drinkers in Madrid, Spain, high-risk drinking was positively associated with growth differentiation factor 15 (a biomarker of chronic disease burden). There was inconclusive evidence of a beneficial association for low-risk consumption.
Collapse
Affiliation(s)
- Rosario Ortolá
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Esther García-Esquinas
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Antonio Buño-Soto
- Department of Laboratory Medicine, La Paz University Hospital-IdiPaz, Madrid, Spain
| | - Adrián Carballo-Casla
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Department of Environmental Health and Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - José R Banegas
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.,IMDEA Food Institute. CEI UAM+CSIC, Madrid, Spain
| |
Collapse
|
3
|
Alcohol consumption patterns and unhealthy aging among older lifetime drinkers from Spain. Drug Alcohol Depend 2022; 235:109444. [PMID: 35421688 DOI: 10.1016/j.drugalcdep.2022.109444] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 04/01/2022] [Accepted: 04/02/2022] [Indexed: 12/18/2022]
Abstract
BACKGROUND The protective health effects of light alcohol consumption are debated due to potential selection biases, reverse causation and confounding. We examined cross-sectional and prospective associations of alcohol consumption patterns with unhealthy aging among older drinkers addressing these methodological issues. METHODS 2081 lifetime drinkers aged 65 + years from the Seniors-ENRICA-2 cohort followed-up for 2.4 years were classified as occasional (average lifetime alcohol intake [g/day] ≤1.43), low-risk (men: >1.43-20; women: >1.43-10), moderate-risk (men: >20-40; women: >10-20) and high-risk drinkers (men: >40; women: >20; or binge drinkers). A Mediterranean drinking pattern (MDP) was defined as occasional/low-risk drinking, wine preference and drinking only with meals. Unhealthy aging was measured with a 52-item health deficit accumulation index (DAI), with higher values indicating more health deficits. RESULTS A 10-g/day increment in lifetime average alcohol intake was cross-sectionally associated with a higher DAI among all drinkers (mean difference [95% confidence interval] = 0.35 [0.16, 0.53]) and moderate-/high-risk drinkers (0.41 [0.17, 0.65]), but not among occasional/low-risk drinkers. Also, the DAI was 1.35 (0.06, 2.65) points higher in high-risk versus low-risk drinkers and 2.07 (0.59, 3.60) points higher in non-adherers versus adherers to the MDP. Most associations strengthened when restricting analyses to individuals with lower disease burden and did not generally remain after 2.4 years. CONCLUSIONS We found no evidence of a beneficial association between low-risk alcohol consumption and unhealthy aging, but a detrimental one for high-risk drinking, which strengthened when accounting for reverse causation, although attenuated over the follow-up likely due to selective attrition of those less resilient to the harmful effects of alcohol.
Collapse
|
4
|
Tevik K, Bergh S, Selbæk G, Johannessen A, Helvik AS. A systematic review of self-report measures used in epidemiological studies to assess alcohol consumption among older adults. PLoS One 2021; 16:e0261292. [PMID: 34914759 PMCID: PMC8675766 DOI: 10.1371/journal.pone.0261292] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 11/29/2021] [Indexed: 12/11/2022] Open
Abstract
Background There is a lack of standardization regarding how to assess and categorize alcohol intake in older adults. The aim of this study was to systematically review methods used in epidemiological studies to define drinking patterns and measure alcohol consumption among older adults. Methods A systematic search was conducted in the MEDLINE, PubMed, PsycINFO, EMBASE, and CINAHL databases for studies published from January 2009 to April 2021. Studies were included if they were observational studies with a quantitative design; the mean age of the participants was ≥ 65 years; questionnaires, screening tools, or diagnostic tools were used to define alcohol consumption; and alcohol consumption was self-reported. Results Of 492 studies considered, 105 were included. Among the 105 studies, we detected 19 different drinking patterns, and each drinking pattern had a wide range of definitions. The drinking patterns abstaining from alcohol, current drinking, and risk drinking had seven, 12 and 21 diverse definitions, respectively. The most used questionnaire and screening tools were the quantity-frequency questionnaire, with a recall period of 12 months, and the full and short versions of the Alcohol Use Disorders Identification Test, respectively. Conclusion No consensus was found regarding methods used to assess, define, and measure alcohol consumption in older adults. Identical assessments and definitions must be developed to make valid comparisons of alcohol consumption in older adults. We recommend that alcohol surveys for older adults define the following drinking patterns: lifetime abstainers, former drinkers, current drinkers, risk drinking, and heavy episodic drinking. Standardized and valid definitions of risk drinking, and heavy episodic drinking should be developed. The expanded quantity-frequency questionnaire including three questions focused on drinking frequency, drinking volume, and heavy episodic drinking, with a recall period of 12 months, could be used.
Collapse
Affiliation(s)
- Kjerstin Tevik
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- * E-mail:
| | - Sverre Bergh
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Research Centre for Age-related Functional Decline and Disease, Innlandet Hospital Trust, Ottestad, Norway
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Aud Johannessen
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Health, Social and Welfare Studies, Faculty of Health and Social Sciences, University of South-Eastern Norway, Vestfold, Norway
| | - Anne-S. Helvik
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
| |
Collapse
|
5
|
Skrivankova VW, Richmond RC, Woolf BAR, Davies NM, Swanson SA, VanderWeele TJ, Timpson NJ, Higgins JPT, Dimou N, Langenberg C, Loder EW, Golub RM, Egger M, Davey Smith G, Richards JB. Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration. BMJ 2021; 375:n2233. [PMID: 34702754 PMCID: PMC8546498 DOI: 10.1136/bmj.n2233] [Citation(s) in RCA: 509] [Impact Index Per Article: 169.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/02/2021] [Indexed: 12/15/2022]
Affiliation(s)
| | - Rebecca C Richmond
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Benjamin A R Woolf
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Department of Psychological Science, University of Bristol, Bristol, UK
| | - Neil M Davies
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- K G Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sonja A Swanson
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
| | - Tyler J VanderWeele
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Nicholas J Timpson
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Julian P T Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Claudia Langenberg
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | | | - Robert M Golub
- JAMA, Chicago, IL, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Matthias Egger
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - J Brent Richards
- Departments of Medicine, Human Genetics, Epidemiology & Biostatistics, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada
- Department of Twin Research and Genetic Epidemiology, King's College London, University of London, London, UK
| |
Collapse
|
6
|
Dorrington N, Fallaize R, Hobbs DA, Weech M, Lovegrove JA. A Review of Nutritional Requirements of Adults Aged ≥65 Years in the UK. J Nutr 2020; 150:2245-2256. [PMID: 32510125 DOI: 10.1093/jn/nxaa153] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 02/24/2020] [Accepted: 05/05/2020] [Indexed: 01/16/2023] Open
Abstract
Appropriate dietary choices in later life may reduce the risk of chronic diseases and rate of functional decline, however, there is little well-evidenced age-specific nutritional guidance in the UK for older adults, making it challenging to provide nutritional advice. Therefore, the aim of this critical review was to propose evidence-based nutritional recommendations for older adults (aged ≥65 y). Nutrients with important physiological functions in older adults were selected for inclusion in the recommendations. For these nutrients: 1) recommendations from the UK Scientific Advisory Committee for Nutrition (SACN) reports were reviewed and guidance retained if recent and age-specific, and 2) a literature search conducted where SACN guidance was not sufficient to set or confirm recommendations for older adults, searching Web of Science up to March 2020. Data extracted from a total of 190 selected publications provided evidence to support age-specific UK recommendations for protein (1.2 g·kg-1·d-1), calcium (1000 mg·d-1), folate (400 μg·d-1), vitamin B-12 (2.4 μg·d-1), and fluid (1.6 L·d-1 women, 2.0 L·d-1 men) for those ≥65 y. UK recommendations for carbohydrates, free sugars, dietary fiber, dietary fat and fatty acids, sodium, and alcohol for the general population are likely appropriate for older adults. Insufficient evidence was identified to confirm or change recommendations for all other selected nutrients. In general, significant gaps in current nutritional research among older adults existed, which should be addressed to support delivery of tailored nutritional guidance to this age group to promote healthy aging.
Collapse
Affiliation(s)
- Nicole Dorrington
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Rosalind Fallaize
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom.,School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom
| | - Ditte A Hobbs
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Michelle Weech
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
| |
Collapse
|
7
|
Sarich P, Canfell K, Banks E, Paige E, Egger S, Joshy G, Korda R, Weber M. A Prospective Study of Health Conditions Related to Alcohol Consumption Cessation Among 97,852 Drinkers Aged 45 and Over in Australia. Alcohol Clin Exp Res 2019; 43:710-721. [PMID: 30758044 DOI: 10.1111/acer.13981] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 02/08/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND Evidence suggests that people who develop serious health conditions are likely to cease drinking alcohol (sometimes known as "sick-quitters"). We quantified the likelihood of quitting drinking in relation to the onset of a variety of health conditions. METHODS Odds ratios (ORs) and 95% confidence intervals (CIs) of ceasing alcohol consumption after diagnosis of 28 health conditions and 4 general indicators of health were derived from logistic regression among 97,852 drinkers aged ≥ 45 years between baseline (2006 to 2009) and median 5.3 years of follow-up in the New South Wales 45 and Up Study. Incident health conditions at follow-up were self-reported. RESULTS At follow-up, 9.6% (n = 9,438) of drinkers had ceased drinking. Drinking cessation was significantly associated with 24 of 32 health conditions examined: 15.4% of participants with newly diagnosed diabetes quit drinking (OR for quitting vs. continuing 1.77, 95% CI: 1.60 to 1.96), 16.4% with Parkinson's disease (1.71, 1.35 to 2.17), 17.8% with poor memory (1.68, 1.43 to 1.97), 19.2% with hip fracture (1.64, 1.30 to 2.06), 14.7% with stroke (1.45, 1.27 to 1.66), 12.5% with depression (1.40, 1.26 to 1.55), 15.0% with breast cancer (1.38, 1.18 to 1.61), 12.3% with heart disease (1.34, 1.25 to 1.44), and 13.3% with osteoarthritis (1.22, 1.12 to 1.33). Strong associations with quitting were observed in those with a decline in self-rated overall health (2.93, 2.53 to 3.40) and quality of life (2.68, 2.24 to 3.21). Some health conditions not significantly associated with quitting were prostate cancer, melanoma, nonmelanoma skin cancer, hay fever, and hearing loss. Findings were generally consistent for men and women, by age group and by smoking status. CONCLUSIONS Diagnosis with a variety of health conditions appears to prompt drinking cessation in older adults.
Collapse
Affiliation(s)
- Peter Sarich
- Cancer Research Division , Cancer Council New South Wales, Kings Cross, New South Wales, Australia.,Sydney School of Public Health , The University of Sydney, Sydney, New South Wales, Australia
| | - Karen Canfell
- Cancer Research Division , Cancer Council New South Wales, Kings Cross, New South Wales, Australia.,Sydney School of Public Health , The University of Sydney, Sydney, New South Wales, Australia.,Prince of Wales Clinical School , University of New South Wales, Sydney, New South Wales, Australia
| | - Emily Banks
- National Centre for Epidemiology and Population Health , Australian National University, Canberra, Australian Capital Territory, Australia.,Sax Institute , Haymarket, New South Wales, Australia
| | - Ellie Paige
- National Centre for Epidemiology and Population Health , Australian National University, Canberra, Australian Capital Territory, Australia
| | - Sam Egger
- Cancer Research Division , Cancer Council New South Wales, Kings Cross, New South Wales, Australia
| | - Grace Joshy
- National Centre for Epidemiology and Population Health , Australian National University, Canberra, Australian Capital Territory, Australia
| | - Rosemary Korda
- National Centre for Epidemiology and Population Health , Australian National University, Canberra, Australian Capital Territory, Australia
| | - Marianne Weber
- Cancer Research Division , Cancer Council New South Wales, Kings Cross, New South Wales, Australia.,Sydney School of Public Health , The University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|