At-risk drinking in an HMO primary care sample: prevalence and health policy implications
This study was designed to determine the prevalence of at-risk drinking using varying alcohol use criteria. A period prevalence survey was conducted in 22 primary care practices (n = 19372 adults). The frequency of at-risk alcohol use varied from 7.5% (World Health Organization criteria) to 19.7% (N...
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Veröffentlicht in: | American journal of public health (1971) 1998-01, Vol.88 (1), p.90-93 |
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creator | Fleming, M F Manwell, L B Barry, K L Johnson, K |
description | This study was designed to determine the prevalence of at-risk drinking using varying alcohol use criteria.
A period prevalence survey was conducted in 22 primary care practices (n = 19372 adults).
The frequency of at-risk alcohol use varied from 7.5% (World Health Organization criteria) to 19.7% (National Institute on Alcohol Abuse and Alcoholism criteria). A stepwise logistic model using National Institute on Alcohol Abuse and Alcoholism criteria found male gender, current tobacco use, never married status, retirement, and unemployment to be significant predictors of at-risk alcohol use.
Public health policy needs to move to a primary care paradigm focusing on identification and treatment of at-risk drinkers. |
doi_str_mv | 10.2105/AJPH.88.1.90 |
format | Article |
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A period prevalence survey was conducted in 22 primary care practices (n = 19372 adults).
The frequency of at-risk alcohol use varied from 7.5% (World Health Organization criteria) to 19.7% (National Institute on Alcohol Abuse and Alcoholism criteria). A stepwise logistic model using National Institute on Alcohol Abuse and Alcoholism criteria found male gender, current tobacco use, never married status, retirement, and unemployment to be significant predictors of at-risk alcohol use.
Public health policy needs to move to a primary care paradigm focusing on identification and treatment of at-risk drinkers.</description><identifier>ISSN: 0090-0036</identifier><identifier>EISSN: 1541-0048</identifier><identifier>DOI: 10.2105/AJPH.88.1.90</identifier><identifier>PMID: 9584040</identifier><identifier>CODEN: AJPEAG</identifier><language>eng</language><publisher>Washington, DC: Am Public Health Assoc</publisher><subject>Addictive behaviors ; Adult ; Adult and adolescent clinical studies ; Age ; Alcohol use ; Alcoholic Intoxication - epidemiology ; Alcoholism ; Alcoholism - epidemiology ; Biological and medical sciences ; Clinics ; Epidemiology ; Ethnicity ; Female ; Gender differences ; Health Maintenance Organizations ; Health risk assessment ; HMOs ; Humans ; Liver cirrhosis ; Logistic Models ; Madison ; Male ; Medical practices ; Medical sciences ; Medical screening ; Patients ; Prevalence ; Primary care ; Primary Health Care ; Problem drinking ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Public health ; Questionnaires ; Risk Factors ; Smoking ; Socioeconomic Factors ; USA ; Wisconsin ; Wisconsin - epidemiology ; Women</subject><ispartof>American journal of public health (1971), 1998-01, Vol.88 (1), p.90-93</ispartof><rights>1998 INIST-CNRS</rights><rights>Copyright American Public Health Association Jan 1998</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c527t-682483e7ad63a19a80a0150bd215d671a3645db3812a8486666cbb3fbc516d153</citedby><cites>FETCH-LOGICAL-c527t-682483e7ad63a19a80a0150bd215d671a3645db3812a8486666cbb3fbc516d153</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1508398/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1508398/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,4023,27865,27922,27923,27924,30999,53790,53792</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2223696$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9584040$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fleming, M F</creatorcontrib><creatorcontrib>Manwell, L B</creatorcontrib><creatorcontrib>Barry, K L</creatorcontrib><creatorcontrib>Johnson, K</creatorcontrib><title>At-risk drinking in an HMO primary care sample: prevalence and health policy implications</title><title>American journal of public health (1971)</title><addtitle>Am J Public Health</addtitle><description>This study was designed to determine the prevalence of at-risk drinking using varying alcohol use criteria.
A period prevalence survey was conducted in 22 primary care practices (n = 19372 adults).
The frequency of at-risk alcohol use varied from 7.5% (World Health Organization criteria) to 19.7% (National Institute on Alcohol Abuse and Alcoholism criteria). A stepwise logistic model using National Institute on Alcohol Abuse and Alcoholism criteria found male gender, current tobacco use, never married status, retirement, and unemployment to be significant predictors of at-risk alcohol use.
Public health policy needs to move to a primary care paradigm focusing on identification and treatment of at-risk drinkers.</description><subject>Addictive behaviors</subject><subject>Adult</subject><subject>Adult and adolescent clinical studies</subject><subject>Age</subject><subject>Alcohol use</subject><subject>Alcoholic Intoxication - epidemiology</subject><subject>Alcoholism</subject><subject>Alcoholism - epidemiology</subject><subject>Biological and medical sciences</subject><subject>Clinics</subject><subject>Epidemiology</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Gender differences</subject><subject>Health Maintenance Organizations</subject><subject>Health risk assessment</subject><subject>HMOs</subject><subject>Humans</subject><subject>Liver cirrhosis</subject><subject>Logistic Models</subject><subject>Madison</subject><subject>Male</subject><subject>Medical practices</subject><subject>Medical sciences</subject><subject>Medical screening</subject><subject>Patients</subject><subject>Prevalence</subject><subject>Primary care</subject><subject>Primary Health Care</subject><subject>Problem drinking</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Risk Factors</subject><subject>Smoking</subject><subject>Socioeconomic Factors</subject><subject>USA</subject><subject>Wisconsin</subject><subject>Wisconsin - epidemiology</subject><subject>Women</subject><issn>0090-0036</issn><issn>1541-0048</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkUGP0zAQhS0EWsrCjSuShYATKZ44ThwOSNUKKGjRcoADJ2viuI27jpO100X773HVUAEXfLE179ObeR5CngJb5sDEm9Xnr-ullEtY1uweWYAoIGOskPfJgrGapTcvH5JHMe4YA6gFnJGzWsiCFWxBfqymLNh4Tdtg_bX1W2o9RU_XX67oGGyP4Y5qDIZG7Edn3qaiuUVnvDYJa2ln0E0dHQdn9R21ibEaJzv4-Jg82KCL5sl8n5PvH95_u1hnl1cfP12sLjMt8mrKSpkXkpsK25Ij1CgZMhCsaXMQbVkB8rIQbcMl5CgLWaajm4ZvGi2gbEHwc_Lu6Dvum9602vgpoFPz8GpAq_5WvO3UdrhVqYvktUwGr2aDMNzsTZxUb6M2zqE3wz4qURVSQlX-FwQpK5CsSuDzf8DdsA8-_YJKqVhdiYon6PUR0mGIMZjNaWRg6rBYdVisklKBqlnCn_0Z8wTPm0z6i1nHqNFtAnpt4wnL85yX9SHDyyPW2W330wajYo_OJVNQuBu73-1-AQOqtzw</recordid><startdate>19980101</startdate><enddate>19980101</enddate><creator>Fleming, M F</creator><creator>Manwell, L B</creator><creator>Barry, K L</creator><creator>Johnson, K</creator><general>Am Public Health Assoc</general><general>American Public Health Association</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7RV</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88C</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>88J</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>KC-</scope><scope>L.-</scope><scope>L.0</scope><scope>LK8</scope><scope>M0C</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2L</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M2R</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>7TS</scope><scope>7QJ</scope><scope>5PM</scope></search><sort><creationdate>19980101</creationdate><title>At-risk drinking in an HMO primary care sample: prevalence and health policy implications</title><author>Fleming, M F ; Manwell, L B ; Barry, K L ; Johnson, K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c527t-682483e7ad63a19a80a0150bd215d671a3645db3812a8486666cbb3fbc516d153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Addictive behaviors</topic><topic>Adult</topic><topic>Adult and adolescent clinical studies</topic><topic>Age</topic><topic>Alcohol use</topic><topic>Alcoholic Intoxication - epidemiology</topic><topic>Alcoholism</topic><topic>Alcoholism - epidemiology</topic><topic>Biological and medical sciences</topic><topic>Clinics</topic><topic>Epidemiology</topic><topic>Ethnicity</topic><topic>Female</topic><topic>Gender differences</topic><topic>Health Maintenance Organizations</topic><topic>Health risk assessment</topic><topic>HMOs</topic><topic>Humans</topic><topic>Liver cirrhosis</topic><topic>Logistic Models</topic><topic>Madison</topic><topic>Male</topic><topic>Medical practices</topic><topic>Medical sciences</topic><topic>Medical screening</topic><topic>Patients</topic><topic>Prevalence</topic><topic>Primary care</topic><topic>Primary Health Care</topic><topic>Problem drinking</topic><topic>Psychology. 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of public health (1971)</jtitle><addtitle>Am J Public Health</addtitle><date>1998-01-01</date><risdate>1998</risdate><volume>88</volume><issue>1</issue><spage>90</spage><epage>93</epage><pages>90-93</pages><issn>0090-0036</issn><eissn>1541-0048</eissn><coden>AJPEAG</coden><abstract>This study was designed to determine the prevalence of at-risk drinking using varying alcohol use criteria.
A period prevalence survey was conducted in 22 primary care practices (n = 19372 adults).
The frequency of at-risk alcohol use varied from 7.5% (World Health Organization criteria) to 19.7% (National Institute on Alcohol Abuse and Alcoholism criteria). A stepwise logistic model using National Institute on Alcohol Abuse and Alcoholism criteria found male gender, current tobacco use, never married status, retirement, and unemployment to be significant predictors of at-risk alcohol use.
Public health policy needs to move to a primary care paradigm focusing on identification and treatment of at-risk drinkers.</abstract><cop>Washington, DC</cop><pub>Am Public Health Assoc</pub><pmid>9584040</pmid><doi>10.2105/AJPH.88.1.90</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; PAIS Index; Business Source Complete; Applied Social Sciences Index & Abstracts (ASSIA); EBSCOhost Education Source; PubMed Central; Alma/SFX Local Collection |
subjects | Addictive behaviors Adult Adult and adolescent clinical studies Age Alcohol use Alcoholic Intoxication - epidemiology Alcoholism Alcoholism - epidemiology Biological and medical sciences Clinics Epidemiology Ethnicity Female Gender differences Health Maintenance Organizations Health risk assessment HMOs Humans Liver cirrhosis Logistic Models Madison Male Medical practices Medical sciences Medical screening Patients Prevalence Primary care Primary Health Care Problem drinking Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Public health Questionnaires Risk Factors Smoking Socioeconomic Factors USA Wisconsin Wisconsin - epidemiology Women |
title | At-risk drinking in an HMO primary care sample: prevalence and health policy implications |
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