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Sterling SA, Palzes VA, Lu Y, et al. Associations Between Medical Conditions and Alcohol Consumption Levels in an Adult Primary Care Population. JAMA Netw Open. 2020;3(5):e204687. doi:10.1001/jamanetworkopen.2020.4687
¿Cuáles son las asociaciones entre las condiciones médicas y los niveles de consumo de alcohol en los pacientes de atención primaria?
En este estudio transversal de más de 2.7 millones de pacientes adultos de atención primaria evaluados por consumo no saludable de alcohol, 269 379 pacientes (9.9 %) informaron hábitos de consumo no saludables, y los pacientes con afecciones médicas tenían menos probabilidades de beber en comparación con los que no tenían afecciones. Sin embargo, entre los que informaron sobre el consumo de alcohol, los pacientes con diabetes, hipertensión, enfermedad pulmonar obstructiva crónica, fibrilación auricular, cáncer, enfermedad hepática crónica o lesión o intoxicación tenían más probabilidades de informar que bebían por encima de las directrices recomendadas.
Los sistemas de salud y los médicos deben adoptar un enfoque más específico para ayudar a los pacientes con ciertas afecciones médicas a reducir el consumo no saludable de alcohol y los riesgos para la salud.
Excessive alcohol consumption is associated with increased incidence of several medical conditions, but few nonveteran, population-based studies have assessed levels of alcohol use across medical conditions.
To examine associations between medical conditions and alcohol consumption levels in a population-based sample of primary care patients using electronic health record data.
Design, Setting, and Participants
This cross-sectional study used separate multinomial logistic regression models to estimate adjusted associations between 26 medical conditions and alcohol consumption levels in a sample of 2 720 231 adult primary care patients screened for unhealthy drinking between January 1, 2014, and December 31, 2017, then only among those reporting alcohol use. The study was conducted at Kaiser Permanente Northern California, a large, integrated health care delivery system that incorporated alcohol screening into its adult primary care workflow. Data were analyzed from June 29, 2018, to February 7, 2020.
Main Outcomes and Measures
The main outcome was level of alcohol use, classified as no reported use, low-risk use, exceeding daily limits only, exceeding weekly limits only, or exceeding daily and weekly limits, per National Institute on Alcohol Abuse and Alcoholism guidelines. Other measures included sociodemographic, body mass index, smoking, inpatient and emergency department use, and a dichotomous indicator for the presence of 26 medical conditions in the year prior to the alcohol screening identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and ICD-10-CM diagnosis codes.
Among the 2 720 231 included patients, 1 439 361 (52.9%) were female, 1 308 659 (48.1%) were white, and 883 276 (32.5%) were aged 18 to 34 years. Patients with any of the conditions (except injury or poisoning) had lower odds of drinking at low-risk and unhealthy levels relative to no reported use compared with those without the condition. Among 861 427 patients reporting alcohol use, patients with diabetes (odds ratio [OR], 1.11; 95% CI, 1.08-1.15), hypertension (OR, 1.11; 95% CI, 1.09-1.13), chronic obstructive pulmonary disease (COPD; OR, 1.16; 95% CI, 1.10-1.22), or injury or poisoning (OR, 1.06; 95% CI, 1.04-1.07) had higher odds of exceeding daily limits only; those with atrial fibrillation (OR, 1.12; 95% CI, 1.06-1.18), cancer (OR, 1.06; 95% CI, 1.03-1.10), COPD (OR, 1.15; 95% CI, 1.09-1.20), or hypertension (OR, 1.37; 95% CI, 1.34-1.40) had higher odds of exceeding weekly limits only; and those with COPD (OR, 1.15; 95% CI, 1.07-1.23), chronic liver disease (OR, 1.42; 95% CI, 1.32-1.53), or hypertension (OR, 1.48; 95% CI, 1.44-1.52) had higher odds of exceeding both daily and weekly limits.
Conclusions and Relevance
Findings suggest that patients with certain medical conditions are more likely to have elevated levels of alcohol use. Health systems and clinicians may want to consider approaches to help targeted patient subgroups limit unhealthy alcohol use and reduce health risks.
Excessive alcohol use is a serious and growing public health problem.1 Annually, approximately 65 000 US deaths and approximately 4% of deaths and 5% of disease and injuries globally are attributable to alcohol use.2 The population of excessive drinkers includes those with severe problems3 and those who exceed drinking guidelines but do not reach the severity of a disorder. US guidelines specify no more than 4 drinks per day or 14 per week for men aged 18 to 64 years and no more than 3 per day or 7 per week for women and men older than 65 years. In the US, at least 25% of adults4 and between 7% and 20% of adult primary care patients5,6 exceed guidelines.
Excessive drinking is associated with increased incidence of numerous medical conditions, including certain cancers,7-12 cardiovascular disease,13-15 cirrhosis and pancreatitis,16-19 and gastrointestinal disorders.20 In older, predominantly male, white Veterans Health Administration samples, excessive drinking has been found to be associated with increased risk of gastrointestinal-related hospitalizations,20,21 postoperative complications,22 and poorer self-management of chronic diseases, such as diabetes23 and hypertension.24 A 2018 meta-analysis15 found that, even at moderate levels, alcohol use increases all-cause mortality and risk of death from several cardiovascular diseases and reduces life expectancy. Another study found that alcohol use uniformly increases blood pressure and stroke risk; even moderate drinking (2 drinks per day or less) increased the risk of stroke by about 15%.25 But research has rarely assessed levels of alcohol consumption across medical conditions among primary care patients.
Kaiser Permanente Northern California (KPNC), a large, integrated health care delivery system, incorporated alcohol screening into its adult primary care workflow. Since implementation, more than 12 million alcohol screenings have been conducted in more than 150 clinics, with an 87% average screening rate. Using electronic health record (EHR) data collected during clinical care, we build on the growing literature on the health effects of alcohol use and examine alcohol consumption levels in a population-based sample of primary care patients with common chronic medical conditions. The findings help us better identify the associations between medical conditions and levels of alcohol use and may aid primary care clinicians in specific disease management strategies targeted at particularly vulnerable patients.
Kaiser Permanente Northern California’s 4.3 million members constitute about one-third of northern California’s population. They are insured through employer-based plans, Medicare, Medicaid, and health insurance exchanges and are representative of the US population with insurance: 53% women and 20% Asian persons, 7.5% black persons, and 17% Hispanic persons. The KPNC Institutional Review Board reviewed the study and granted a waiver of informed consent to examine EHR data. This report follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for cross-sectional studies.
The KPNC alcohol screening, brief intervention, and referral to treatment (SBIRT) initiative was implemented in adult primary care in June 2013. Medical assistants screened all patients while collecting vital sign measurements using EHR-embedded screening questions from the National Institute on Alcohol Abuse and Alcoholism (NIAAA) guide for primary care clinicians.26 A modified single-item screening question, automatically tailored to patient age and sex, was used: “How many times in the past three months have you had 5 or more drinks in a day” for men aged 18 to 65 years or “4 or more drinks in a day” for women and men 66 years and older. This was followed by, “On average, how many days per week do you have an alcoholic drink?” and “On a typical drinking day, how many drinks do you have?”26 These were used to calculate average drinks per week.
The study sample included 3 013 643 adult KPNC members 18 years and older screened between January 1, 2014, and December 31, 2017. The final analytical sample included 2 720 231 patients with complete data.
Individual alcohol consumption was identified at the first screening of the study period. Per NIAAA daily and weekly drinking guidelines, individuals were classified as having no use (reporting no alcohol use in the prior 90 days), low-risk use (exceeding neither daily nor weekly limits) and unhealthy use (exceeding either daily or weekly drinking limits). We further classified the unhealthy use group into mutually exclusive groups: exceeding daily limits (exceeding only daily limits), exceeding weekly limits (exceeding only weekly limits), or exceeding both limits (exceeding both daily and weekly limits).
The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and ICD-10-CM diagnosis codes in the year prior to the patient’s alcohol screening were extracted from the EHR. We examined 20 common medical conditions,27 some of which are among the most costly to treat in the US,28,29 including asthma, atherosclerosis, atrial fibrillation, chronic kidney disease, chronic liver disease, chronic obstructive pulmonary disease (COPD), coronary disease, diabetes, dementia, epilepsy, gastroesophageal reflux, heart failure, hyperlipidemia, hypertension, migraine, osteoarthritis, osteoporosis/osteopenia, Parkinson disease/syndrome, peptic ulcer, and rheumatoid arthritis. We also examined conditions associated with alcohol problems, including arthritis, cerebrovascular disease, chronic pain, HIV, and injury or poisoning.6,30,31 The KPNC cancer registry was used to identify patients with cancer.
From the EHR, we extracted patients’ sex, age, race/ethnicity, smoking status at screening, and the most recent body mass index (BMI) in the year prior to screening.32 To estimate socioeconomic status, which is associated with health status,33 we used median household income by geocoding residential addresses to 2010 census blocks.34,35 We created a 3-group categorical variable for income based on tertiles of the overall distribution in the sample (low [$60 841 or less], middle [$60 842 to $87 461], and high [$87 462 or more]). To control for medical acuity, we counted inpatient and emergency department (ED) visits in the year prior to screening and created 3 categories (0, 1 to 2, or 3 or more visits). Patients with unknown household income (n = 7223), smoking status (n = 184 659), and BMI (n = 107 471) were excluded, providing a final analytical sample of 2 720 131 patients.
We examined differences in alcohol consumption levels by medical conditions with χ2 tests. We used multivariable multinomial logistic regression to estimate associations between conditions and levels of consumption, adjusting for sex, age, income, smoking status, BMI, and the number of inpatient and ED visits in the year prior. We fit separate multivariable models for each condition and conducted the analyses in 2 steps. First, we estimated the odds of reporting low-risk use and unhealthy use relative to no use for those with the condition compared with those without the condition among the full sample (n = 2 720 231). Second, among patients reporting alcohol use (n = 861 427), we estimated the odds of exceeding daily limits, weekly limits, and both limits relative to low-risk use for those with the condition compared with those without. In bivariate analyses, statistical significance was defined at a 2-tailed P value less than .05. In multivariable analyses, we used Bonferroni correction to lower the type I error rate for 2-tailed tests to a P value of .0004 or less (P ≤ [α/n], where α = .05 and n is number of comparisons [n = 130]).36 All analyses were performed using SAS version 9.4 (SAS Institute).
Among the 2 720 231 patients in the final analytical sample, 1 439 361 (52.9%) were female, 1 308 659 (48.1%) were white, and 883 276 (32.5%) were aged 18 to 34 years (Table 1). Among the full sample, 1 858 804 (68.3%) reported no alcohol use in the prior 90 days, 592 048 (21.8%) reported low-risk use, 165 581 (6.1%) reported use that exceeded daily limits, 62 349 (2.3%) reported use that exceeded weekly limits, and 41 449 (1.5%) reported use that exceeded both limits. A greater proportion of patients with 3 or more inpatient and ED visits and Asian, Native Hawaiian, or Pacific Islander patients reported no use relative to other consumption levels. Patients reporting use that exceeded daily limits were more likely to be male and younger (aged 18 to 34 years), while patients reporting use that exceeded weekly limits were more likely to be female and older (65 years and older). A greater proportion of patients who smoked reported exceeding both limits relative to other consumption levels.
The most prevalent conditions in the full sample of 2 720 231 patients were hypertension (626 153 patients [23.0%]), hyperlipidemia (601 782 patients [22.1%]), and injury or poisoning (427 398 patients [15.7%]) (Table 2). Patients with medical conditions were more likely to report no use, followed by low-risk use and unhealthy use. Among patients reporting unhealthy use, use exceeding daily limits was most prevalent among those with asthma, chronic liver disease, chronic pain, diabetes, epilepsy, gastroesophageal reflux, HIV, injury or poisoning, migraine, and peptic ulcer; use exceeding weekly limits was most prevalent among those with arthritis, atherosclerosis, atrial fibrillation, cancer, cerebrovascular disease, chronic kidney disease, COPD, coronary disease, dementia, heart failure, hypertension, osteoarthritis, osteoporosis/osteopenia, Parkinson disease/syndrome, and rheumatoid arthritis. Patients with hyperlipidemia had similar prevalence of exceeding daily and weekly limits, which were higher than exceeding both limits.
In the full sample of 2 720 231 patients, using multivariable multinomial logistic regression, we estimated the odds of reporting low-risk and unhealthy use relative to no use for patients with a medical condition compared with those without the condition. Among all conditions examined, except for hypertension and injuries or poisonings, patients with a medical condition had lower odds than those without the medical condition of low-risk and unhealthy use relative to no use (Table 3). For example, patients with Parkinson disease/syndrome were less likely compared with those without to report low-risk use (odds ratio [OR], 0.58; 95% CI, 0.53-0.63) and unhealthy use (OR, 0.38; 95% CI, 0.33-0.44) relative to no use. Compared with patients without, those with hypertension were less likely to report low-risk use (OR, 0.80; 95% CI, 0.79-0.80) but not unhealthy use (OR, 1.00; 95% CI, 0.99-1.02) relative to no use. In contrast, patients with an injury or poisoning were more likely than those without to report low-risk use (OR, 1.02; 95% CI, 1.01-1.03) and unhealthy use (OR, 1.06; 95% CI, 1.05-1.07) relative to no use.
Associations between medical conditions and unhealthy use relative to low-risk use were examined among 861 427 patients who reported drinking. Compared with patients without these conditions, those with chronic liver disease, COPD, hypertension, and injury or poisoning were more likely to report unhealthy relative to low-risk use (Table 4). Patients with hypertension and COPD were more likely than those without to report use exceeding daily limits (hypertension: OR, 1.11; 95% CI, 1.09-1.13; COPD: OR, 1.16; 95% CI, 1.10-1.22), weekly limits (hypertension: OR, 1.37; 95% CI, 1.34-1.40; COPD: OR, 1.15; 95% CI, 1.09-1.20), and both limits (hypertension: OR, 1.48; 95% CI, 1.44-1.52; COPD: OR, 1.15; 95% CI, 1.07-1.23) relative to low-risk use. Patients with an injury or poisoning were more likely than those without to report use exceeding daily limits relative to low-risk use (OR, 1.06; 95% CI, 1.04-1.07). Patients with chronic liver disease were more likely than those without to report use exceeding both limits, relative to low-risk use (OR, 1.42; 95% CI, 1.32-1.53).
In contrast, compared with those without the condition, patients with asthma, atherosclerosis, chronic kidney disease, chronic pain, coronary disease, dementia, HIV, migraine, osteoarthritis, osteoporosis/osteopenia, and Parkinson disease/syndrome were less likely to report unhealthy use relative to low-risk use. Patients with migraine and osteoporosis/osteopenia were less likely than patients without to report use exceeding daily limits (migraine: OR, 0.88; 95% CI, 0.85-0.91; osteoporosis/osteopenia: OR, 0.75; 95% CI, 0.70-0.79), weekly limits (migraine: OR, 0.72; 95% CI, 0.69-0.76; osteoporosis/osteopenia: OR, 0.64; 95% CI, 0.62-0.67), and both limits (migraine: OR, 0.63; 95% CI, 0.59-0.67; osteoporosis/osteopenia: OR, 0.50; 95% CI, 0.46-0.54) relative to low-risk use. Patients with coronary disease were less likely than those without to report use exceeding daily limits (OR, 0.86; 95% CI, 0.82-0.91) and both limits (OR, 0.85; 95% CI, 0.80-0.92) relative to low-risk use. Patients with the following conditions were less likely than those without to report use exceeding weekly limits and both limits relative to low-risk use: chronic kidney disease (weekly: OR, 0.87; 95% CI, 0.83-0.90; both: OR, 0.71; 95% CI, 0.66-0.76), chronic pain (weekly: OR, 0.90; 95% CI, 0.86-0.93; both: OR, 0.84; 95% CI, 0.80-0.88), and osteoarthritis (weekly: OR, 0.94; 95% CI, 0.92-0.97; both: OR, 0.88; 95% CI, 0.84-0.91). Patients with atherosclerosis (OR, 0.87; 95% CI, 0.84-0.91) and Parkinson disease/syndrome (OR, 0.44; 95% CI, 0.31-0.64) were less likely than those without to report use exceeding daily limits relative to low-risk use. Patients with asthma (OR, 0.93; 95% CI, 0.90-0.66) and dementia (OR, 0.67; 95% CI, 0.54-0.83) were less likely than those without to report use exceeding weekly limits relative to low-risk use. Patients with HIV were less likely than those without to report use exceeding both limits relative to low-risk use (OR, 0.45; 95% CI, 0.34-0.58).
Compared with patients without the condition, those with atrial fibrillation (OR, 0.80; 95% CI, 0.74-0.87) and cancer (OR, 0.91; 95% CI, 0.87-0.95) were less likely to report use exceeding daily limits but more likely to report use exceeding weekly limits relative to low-risk use (atrial fibrillation: OR, 1.12; 95% CI, 1.06-1.18; cancer: OR, 1.06; 95% CI, 1.03-1.10). In contrast, relative to low-risk use, patients with diabetes were more likely to report use exceeding daily limits (OR, 1.11; 95% CI, 1.08-1.15) but less likely to report use exceeding weekly limits (OR, 0.90; 95% CI, 0.86-0.93) compared with those without. There were no associations between cerebrovascular disease, epilepsy, gastroesophageal reflux, heart failure, hyperlipidemia, peptic ulcer, and rheumatoid arthritis and unhealthy alcohol use relative to low-risk use among patients reporting drinking.
Using data collected in a systematic alcohol screening program, we examined associations between a variety of medical conditions and alcohol consumption levels among 2 720 231 adult primary care patients. With the exception of those with injury or poisoning diagnoses, often associated with acute alcohol intoxication in the literature,37,38 people with medical conditions were more likely to report no use compared with people without. This is consistent with previous studies that found no alcohol use was associated with poorer health, perhaps because people in ill health choose to quit drinking owing to the effects on their condition’s symptoms or progression or medication contraindications—so-called sick quitters—or because they were formerly heavy drinkers whose drinking may have been related to their poor health.39-42
However, among those reporting drinking, we found more complex associations. People with migraine or osteoporosis/osteopenia, for example, were less likely than those without to report unhealthy drinking than they were to drink within guidelines. Alcohol may exacerbate symptoms or they may use medications contraindicated with alcohol use. People with atrial fibrillation and cancer were less likely to exceed daily limits but more likely to exceed weekly limits compared with people without these conditions. These patients may be less able to tolerate the intoxicating effects of drinking 4 or more drinks at one time.
A few conditions, including COPD, hypertension, and chronic liver disease, were associated with unhealthy as opposed to low-risk drinking; patients with COPD and hypertension were more likely to exceed daily, weekly, and both limits, and those with chronic liver disease were more likely to exceed both daily and weekly limits. Patients with diabetes were more likely to report exceeding only daily limits but less likely to report exceeding only weekly limits than they were to report low-risk use. Our findings echo other studies demonstrating an association between these conditions and heavy drinking. While some studies have found light to moderate drinking to be associated with lower risk of type II diabetes,43,44 a 2015 meta-analysis45 of data from almost 2 million individuals found this protective relationship only among women and only related to standard volume over time, not to a heavy episodic drinking pattern, such as the exceeding daily limits level we examined. There is also evidence on the association between excessive drinking and hypertension46-49 and on the benefits of reducing consumption. A 2017 meta-analysis50 of data from 36 randomized clinical trials found that among people drinking 2 or more drinks per day, a reduction in alcohol consumption resulted in significant reductions in blood pressure. While several studies found an association between drinking and COPD and many patients with COPD have been or are heavy drinkers, smoking was often a confounder, and research is rarer on the independent association between excessive alcohol use and COPD controlling for smoking. A 2019 study of 44 000 Swedish men51 found that while light drinking was protective, the incidence of COPD increased significantly beginning at 14 or more drinks per week. Studies also found an association between unhealthy drinking and liver disease52 and liver disease outcomes,53 especially for women.54
All 4 conditions associated with higher rates of unhealthy drinking relative to low-risk drinking—COPD, hypertension, chronic liver disease, and diabetes—are common, costly, and prevalent among primary care populations. In all cases, heavy drinking can exacerbate symptoms, complicate treatment, and increase the risk of adverse outcomes, and reducing consumption may have beneficial effects.55,56 These findings underscore the clinical importance of linking unhealthy alcohol use to specific medical conditions. The mounting evidence of alcohol’s adverse health effects have led to increased efforts to address harmful use in primary care settings.57 Studies have documented the efficacy of approaches such as systematic alcohol SBIRT in reducing use.58-63 While many studies have focused on alcohol use outcomes, emerging research is examining how these interventions may affect health outcomes, such as blood pressure. Chi et al64 found that a brief alcohol intervention delivered by a primary care physician was associated with reductions in blood pressure and improvements in blood pressure control among patients with hypertension. The physician SBIRT training in this system emphasized discussing alcohol consumption in the context of managing patients’ presenting health concerns. We need further research on ways to identify and reduce excessive alcohol use among these higher-risk patients.
Our study has several limitations. We cannot establish temporality of the associations observed between medical conditions and alcohol consumption levels, since patients were asked about consumption over the past 3 months at the screening, and the presence of medical conditions was determined for the year prior to (and including) the screening date. Future studies should aim to establish temporality to infer causality. We did not have lifetime drinking data for our sample and could not differentiate between lifetime and current abstainers or determine if use levels reported at screenings represented lifetime use; the no use group likely included individuals who drank previously but quit, possibly related to serious medical conditions or to recovery from an alcohol use disorder. We found a high rate of no reported use, much higher than those in national surveys.65 This primary care population may be older and sicker than those in community surveys or may be underreporting their drinking. We are also unable to determine clinically meaningful thresholds for the strength of associations we found. We used a conservative approach for adjusting for multiple comparisons, which could have dampened the significance of some associations we observed. Finally, while unadjusted ORs could potentially inform clinicians about drinking patterns among particularly vulnerable populations, we chose a more conservative approach, which adjusted for important sociodemographic, health, and utilization characteristics, to provide clinicians with information about medical conditions and drinking patterns independent of case-mix differences.
Patients with most medical conditions, compared with those without, were more likely to report no alcohol use than to drink at low-risk or high-risk levels. However, people with diabetes, hypertension, COPD, and chronic liver disease who reported drinking were more likely than those without to drink at unhealthy levels, potentially exacerbating their conditions and jeopardizing treatment regimens. Further research should identify how clinicians can tailor screening and interventions to help patients with certain chronic medical conditions to curtail excessive alcohol use and minimize health risks.
Accepted for Publication: March 8, 2020.
Published: May 13, 2020. doi:10.1001/jamanetworkopen.2020.4687
Open Access: This is an open access article distributed under the terms of the CC-BY-NC-ND License. © 2020 Sterling SA et al. JAMA Network Open.
Corresponding Author: Stacy A. Sterling, DrPH, MSW, Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (firstname.lastname@example.org).
Author Contributions: Dr Sterling and Ms Palzes had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Sterling, Palzes, Parthasarathy, Ross, Weisner, Chi.
Acquisition, analysis, or interpretation of data: Sterling, Palzes, Lu, Kline-Simon, Parthasarathy, Elson, Weisner, Maxim, Chi.
Drafting of the manuscript: Sterling, Palzes, Lu, Parthasarathy, Weisner, Chi.
Critical revision of the manuscript for important intellectual content: Sterling, Kline-Simon, Parthasarathy, Ross, Elson, Weisner, Maxim, Chi.
Statistical analysis: Palzes, Lu, Kline-Simon, Parthasarathy, Chi.
Obtained funding: Sterling, Weisner.
Administrative, technical, or material support: Sterling, Elson, Maxim.
Study supervision: Sterling.
Conflict of Interest Disclosures: Dr Sterling has received grants from the National Institute on Alcohol Abuse and Alcoholism during the conduct of the study. No other disclosures were reported.
Funding/Support: This study was supported by grant R01AA025902 from the National Institute on Alcohol Abuse and Alcoholism.
Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
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