Geographic Altitude of Residence and Alcohol Dependence in a Peruvian Population
The aim of this study was to determine the association between alcohol dependence and altitude of residence in 11 villages in two high altitude areas of Peru. An analytical cross-sectional study was performed using a survey conducted by physicians in primary health care in 11 villages until 2013, th...
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Veröffentlicht in: | Revista colombiana de psiquiatría 2016-07, Vol.45 (3), p.178-185 |
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description | The aim of this study was to determine the association between alcohol dependence and altitude of residence in 11 villages in two high altitude areas of Peru. An analytical cross-sectional study was performed using a survey conducted by physicians in primary health care in 11 villages until 2013, that were divided into low altitude (≤2500m asl (above sea level)), and high altitude (>2500m asl) areas. The CAGE test for alcoholism (cut point, ≥2) was applied to those who responded positively when asked if they consumed alcohol. Statistical associations were obtained with generalised linear models Of the 737 participants, 51% were women and the median age was 36 years [interquartile range, 25-50], 334 (45%) lived at low altitude, and 113 (15%) had alcohol dependence. The highest frequency of alcoholism was positively associated with being a village considered extremely poor (Likelihood Ratio (LP)=2.42; 95%CI, 1.40-4.19), while being female (LP=0.44; 95%CI, 0.23-0.89) and residing at high altitude (LP=0.15; 95%CI, 0.07-0.31) were negatively associated. These were adjusted for nine socio-occupational and pathological variables. According to these data, there is a higher frequency of alcohol dependence in being, male, extremely poor, and residing at low altitude. These results should be taken into account by professionals who work in primary care and those involved in mental health care, because of their implications in society. |
doi_str_mv | 10.1016/j.rcp.2015.11.002 |
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An analytical cross-sectional study was performed using a survey conducted by physicians in primary health care in 11 villages until 2013, that were divided into low altitude (≤2500m asl (above sea level)), and high altitude (>2500m asl) areas. The CAGE test for alcoholism (cut point, ≥2) was applied to those who responded positively when asked if they consumed alcohol. Statistical associations were obtained with generalised linear models Of the 737 participants, 51% were women and the median age was 36 years [interquartile range, 25-50], 334 (45%) lived at low altitude, and 113 (15%) had alcohol dependence. The highest frequency of alcoholism was positively associated with being a village considered extremely poor (Likelihood Ratio (LP)=2.42; 95%CI, 1.40-4.19), while being female (LP=0.44; 95%CI, 0.23-0.89) and residing at high altitude (LP=0.15; 95%CI, 0.07-0.31) were negatively associated. These were adjusted for nine socio-occupational and pathological variables. According to these data, there is a higher frequency of alcohol dependence in being, male, extremely poor, and residing at low altitude. These results should be taken into account by professionals who work in primary care and those involved in mental health care, because of their implications in society.</description><identifier>ISSN: 0034-7450</identifier><identifier>DOI: 10.1016/j.rcp.2015.11.002</identifier><identifier>PMID: 27569012</identifier><language>spa</language><publisher>Colombia</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Alcoholism - epidemiology ; Alcoholism - etiology ; Altitude ; Cross-Sectional Studies ; Female ; Humans ; Linear Models ; Male ; Middle Aged ; Peru - epidemiology ; Residence Characteristics ; Risk Factors</subject><ispartof>Revista colombiana de psiquiatría, 2016-07, Vol.45 (3), p.178-185</ispartof><rights>Copyright © 2015 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. 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An analytical cross-sectional study was performed using a survey conducted by physicians in primary health care in 11 villages until 2013, that were divided into low altitude (≤2500m asl (above sea level)), and high altitude (>2500m asl) areas. The CAGE test for alcoholism (cut point, ≥2) was applied to those who responded positively when asked if they consumed alcohol. Statistical associations were obtained with generalised linear models Of the 737 participants, 51% were women and the median age was 36 years [interquartile range, 25-50], 334 (45%) lived at low altitude, and 113 (15%) had alcohol dependence. The highest frequency of alcoholism was positively associated with being a village considered extremely poor (Likelihood Ratio (LP)=2.42; 95%CI, 1.40-4.19), while being female (LP=0.44; 95%CI, 0.23-0.89) and residing at high altitude (LP=0.15; 95%CI, 0.07-0.31) were negatively associated. These were adjusted for nine socio-occupational and pathological variables. According to these data, there is a higher frequency of alcohol dependence in being, male, extremely poor, and residing at low altitude. These results should be taken into account by professionals who work in primary care and those involved in mental health care, because of their implications in society.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alcoholism - epidemiology</subject><subject>Alcoholism - etiology</subject><subject>Altitude</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Peru - epidemiology</subject><subject>Residence Characteristics</subject><subject>Risk Factors</subject><issn>0034-7450</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1kE1LAzEYhHNQbK3-AC-So5dd3ySbjz2WqlUoWKT3JR9vbcp2s-6H4L9vofU0MPMwDEPIA4OcAVPP-7zzbc6ByZyxHIBfkSmAKDJdSJiQ277fA0htRHFDJlxLVQLjU7JeYvrubLuLns7rIQ5jQJq29Av7GLDxSG0TTolPu1TTF2yxOduxoZausRt_o23oOrVjbYeYmjtyvbV1j_cXnZHN2-tm8Z6tPpcfi_kqa6Xi2bYMBkrDdaHACWcCFsYpbYVQRjgWEE8LnefgAhRKSQdaeaW9DtIqwaWYkadzbdulnxH7oTrE3mNd2wbT2FfMMCmUKjk7oY8XdHQHDFXbxYPt_qr_E8QRYAFcJg</recordid><startdate>201607</startdate><enddate>201607</enddate><creator>Quiñones-Laveriano, Dante Manuel</creator><creator>Espinoza-Chiong, César</creator><creator>Scarsi-Mejia, Ottavia</creator><creator>Rojas-Camayo, José</creator><creator>Mejia, Christian Richard</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>201607</creationdate><title>Geographic Altitude of Residence and Alcohol Dependence in a Peruvian Population</title><author>Quiñones-Laveriano, Dante Manuel ; Espinoza-Chiong, César ; Scarsi-Mejia, Ottavia ; Rojas-Camayo, José ; Mejia, Christian Richard</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p562-f9d809827460b3b8de48b67a33683b1dee756bc20bd04665b076c67c7d5a63253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>spa</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alcoholism - epidemiology</topic><topic>Alcoholism - etiology</topic><topic>Altitude</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Peru - epidemiology</topic><topic>Residence Characteristics</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Quiñones-Laveriano, Dante Manuel</creatorcontrib><creatorcontrib>Espinoza-Chiong, César</creatorcontrib><creatorcontrib>Scarsi-Mejia, Ottavia</creatorcontrib><creatorcontrib>Rojas-Camayo, José</creatorcontrib><creatorcontrib>Mejia, Christian Richard</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Revista colombiana de psiquiatría</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Quiñones-Laveriano, Dante Manuel</au><au>Espinoza-Chiong, César</au><au>Scarsi-Mejia, Ottavia</au><au>Rojas-Camayo, José</au><au>Mejia, Christian Richard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geographic Altitude of Residence and Alcohol Dependence in a Peruvian Population</atitle><jtitle>Revista colombiana de psiquiatría</jtitle><addtitle>Rev Colomb Psiquiatr</addtitle><date>2016-07</date><risdate>2016</risdate><volume>45</volume><issue>3</issue><spage>178</spage><epage>185</epage><pages>178-185</pages><issn>0034-7450</issn><abstract>The aim of this study was to determine the association between alcohol dependence and altitude of residence in 11 villages in two high altitude areas of Peru. An analytical cross-sectional study was performed using a survey conducted by physicians in primary health care in 11 villages until 2013, that were divided into low altitude (≤2500m asl (above sea level)), and high altitude (>2500m asl) areas. The CAGE test for alcoholism (cut point, ≥2) was applied to those who responded positively when asked if they consumed alcohol. Statistical associations were obtained with generalised linear models Of the 737 participants, 51% were women and the median age was 36 years [interquartile range, 25-50], 334 (45%) lived at low altitude, and 113 (15%) had alcohol dependence. The highest frequency of alcoholism was positively associated with being a village considered extremely poor (Likelihood Ratio (LP)=2.42; 95%CI, 1.40-4.19), while being female (LP=0.44; 95%CI, 0.23-0.89) and residing at high altitude (LP=0.15; 95%CI, 0.07-0.31) were negatively associated. These were adjusted for nine socio-occupational and pathological variables. According to these data, there is a higher frequency of alcohol dependence in being, male, extremely poor, and residing at low altitude. These results should be taken into account by professionals who work in primary care and those involved in mental health care, because of their implications in society.</abstract><cop>Colombia</cop><pmid>27569012</pmid><doi>10.1016/j.rcp.2015.11.002</doi><tpages>8</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Alcoholism - epidemiology Alcoholism - etiology Altitude Cross-Sectional Studies Female Humans Linear Models Male Middle Aged Peru - epidemiology Residence Characteristics Risk Factors |
title | Geographic Altitude of Residence and Alcohol Dependence in a Peruvian Population |
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