Predictors of prescribed medication use for depression, anxiety, stress, and sleep problems in mid-aged Australian women
Objective The study examined prevalence of self-reported use of medication recommended or prescribed by a doctor for depression, anxiety, stress, and sleep problems; and modelled baseline factors that predicted use over 3 years for each condition. Methods Analyses were undertaken on the 2001 and 200...
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description | Objective
The study examined prevalence of self-reported use of medication recommended or prescribed by a doctor for depression, anxiety, stress, and sleep problems; and modelled baseline factors that predicted use over 3 years for each condition.
Methods
Analyses were undertaken on the 2001 and 2004 surveys of mid-aged women in the Australian Longitudinal Study on Women’s Health. Dependent variables were self-reported use in past 4 weeks of medications recommended or prescribed by a doctor for depression, anxiety, stress, or sleep problems in 2001 and 2004. Generalized Estimating Equations (GEE) were used to predict medication use for each condition over 3 years.
Results
Prevalence of prescribed medication use (2001, 2004) for each condition was depression (7.2, 8.9 %), anxiety (7.4, 9.0 %), stress (4.8, 5.7 %), and sleep problems (8.7, 9.5 %). Multivariable analyses revealed that odds of medication use across 3 years in all four conditions were higher for women with poorer mental and physical health, using hormone replacement therapy (HRT), or having seen a counsellor; and increased over time for depression, anxiety, and stress models. Medication use for depression was also higher for overweight/obese women, ex-smokers, and unmarried. Medication use for anxiety was higher for unmarried and non-working/low occupational women. Medication use for stress was higher for non-working women. Additional predictors of medication for sleep were surgical menopause, and area of residence.
Conclusions
Self-reported use of prescribed medication for four mental health conditions is increased over time after controlling for mental and physical health and other variables. Research needs to explore decision-making processes influencing differential rates of psychoactive medication use and their relationship with health outcomes. |
doi_str_mv | 10.1007/s00127-014-0896-y |
format | Article |
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The study examined prevalence of self-reported use of medication recommended or prescribed by a doctor for depression, anxiety, stress, and sleep problems; and modelled baseline factors that predicted use over 3 years for each condition.
Methods
Analyses were undertaken on the 2001 and 2004 surveys of mid-aged women in the Australian Longitudinal Study on Women’s Health. Dependent variables were self-reported use in past 4 weeks of medications recommended or prescribed by a doctor for depression, anxiety, stress, or sleep problems in 2001 and 2004. Generalized Estimating Equations (GEE) were used to predict medication use for each condition over 3 years.
Results
Prevalence of prescribed medication use (2001, 2004) for each condition was depression (7.2, 8.9 %), anxiety (7.4, 9.0 %), stress (4.8, 5.7 %), and sleep problems (8.7, 9.5 %). Multivariable analyses revealed that odds of medication use across 3 years in all four conditions were higher for women with poorer mental and physical health, using hormone replacement therapy (HRT), or having seen a counsellor; and increased over time for depression, anxiety, and stress models. Medication use for depression was also higher for overweight/obese women, ex-smokers, and unmarried. Medication use for anxiety was higher for unmarried and non-working/low occupational women. Medication use for stress was higher for non-working women. Additional predictors of medication for sleep were surgical menopause, and area of residence.
Conclusions
Self-reported use of prescribed medication for four mental health conditions is increased over time after controlling for mental and physical health and other variables. Research needs to explore decision-making processes influencing differential rates of psychoactive medication use and their relationship with health outcomes.</description><identifier>ISSN: 0933-7954</identifier><identifier>EISSN: 1433-9285</identifier><identifier>DOI: 10.1007/s00127-014-0896-y</identifier><identifier>PMID: 24907046</identifier><identifier>CODEN: SPPEEM</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult and adolescent clinical studies ; Analysis ; Anti-Anxiety Agents - therapeutic use ; Antidepressive Agents - therapeutic use ; Anxiety ; Anxiety Disorders - drug therapy ; Australia ; Australians ; Biological and medical sciences ; Depression ; Depressive Disorder - drug therapy ; Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes ; Drug Prescriptions - statistics & numerical data ; Drug therapy ; Drugs ; Epidemiology ; Female ; Health aspects ; Hormone therapy ; Humans ; Medical sciences ; Medicine ; Medicine & Public Health ; Menopause ; Middle Aged ; Miscellaneous ; Mood disorders ; Nervous system (semeiology, syndromes) ; Neurology ; Original Paper ; Physicians ; Practice Patterns, Physicians' - statistics & numerical data ; Prevalence ; Psychiatry ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Psychotropic drugs ; Self Report ; Sleep ; Sleep disorders ; Sleep Wake Disorders - drug therapy ; Stress (Psychology) ; Stress, Psychological - drug therapy ; Surveys ; Women ; Women's Health ; Working women</subject><ispartof>Social Psychiatry and Psychiatric Epidemiology, 2014-11, Vol.49 (11), p.1835-1847</ispartof><rights>Springer-Verlag Berlin Heidelberg 2014</rights><rights>2015 INIST-CNRS</rights><rights>COPYRIGHT 2014 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c502t-3dd38b3751f100cc38d2205e6e883677945be4b7c8af161dd4ec6846af8106b13</citedby><cites>FETCH-LOGICAL-c502t-3dd38b3751f100cc38d2205e6e883677945be4b7c8af161dd4ec6846af8106b13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00127-014-0896-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00127-014-0896-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27913,27914,41477,42546,51308</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28890497$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24907046$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schofield, Margot J.</creatorcontrib><creatorcontrib>Khan, Asaduzzaman</creatorcontrib><title>Predictors of prescribed medication use for depression, anxiety, stress, and sleep problems in mid-aged Australian women</title><title>Social Psychiatry and Psychiatric Epidemiology</title><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><description>Objective
The study examined prevalence of self-reported use of medication recommended or prescribed by a doctor for depression, anxiety, stress, and sleep problems; and modelled baseline factors that predicted use over 3 years for each condition.
Methods
Analyses were undertaken on the 2001 and 2004 surveys of mid-aged women in the Australian Longitudinal Study on Women’s Health. Dependent variables were self-reported use in past 4 weeks of medications recommended or prescribed by a doctor for depression, anxiety, stress, or sleep problems in 2001 and 2004. Generalized Estimating Equations (GEE) were used to predict medication use for each condition over 3 years.
Results
Prevalence of prescribed medication use (2001, 2004) for each condition was depression (7.2, 8.9 %), anxiety (7.4, 9.0 %), stress (4.8, 5.7 %), and sleep problems (8.7, 9.5 %). Multivariable analyses revealed that odds of medication use across 3 years in all four conditions were higher for women with poorer mental and physical health, using hormone replacement therapy (HRT), or having seen a counsellor; and increased over time for depression, anxiety, and stress models. Medication use for depression was also higher for overweight/obese women, ex-smokers, and unmarried. Medication use for anxiety was higher for unmarried and non-working/low occupational women. Medication use for stress was higher for non-working women. Additional predictors of medication for sleep were surgical menopause, and area of residence.
Conclusions
Self-reported use of prescribed medication for four mental health conditions is increased over time after controlling for mental and physical health and other variables. Research needs to explore decision-making processes influencing differential rates of psychoactive medication use and their relationship with health outcomes.</description><subject>Adult and adolescent clinical studies</subject><subject>Analysis</subject><subject>Anti-Anxiety Agents - therapeutic use</subject><subject>Antidepressive Agents - therapeutic use</subject><subject>Anxiety</subject><subject>Anxiety Disorders - drug therapy</subject><subject>Australia</subject><subject>Australians</subject><subject>Biological and medical sciences</subject><subject>Depression</subject><subject>Depressive Disorder - drug therapy</subject><subject>Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes</subject><subject>Drug Prescriptions - statistics & numerical data</subject><subject>Drug therapy</subject><subject>Drugs</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Health aspects</subject><subject>Hormone therapy</subject><subject>Humans</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Menopause</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Mood disorders</subject><subject>Nervous system (semeiology, syndromes)</subject><subject>Neurology</subject><subject>Original Paper</subject><subject>Physicians</subject><subject>Practice Patterns, Physicians' - statistics & numerical data</subject><subject>Prevalence</subject><subject>Psychiatry</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Psychotropic drugs</subject><subject>Self Report</subject><subject>Sleep</subject><subject>Sleep disorders</subject><subject>Sleep Wake Disorders - drug therapy</subject><subject>Stress (Psychology)</subject><subject>Stress, Psychological - drug therapy</subject><subject>Surveys</subject><subject>Women</subject><subject>Women's Health</subject><subject>Working women</subject><issn>0933-7954</issn><issn>1433-9285</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kl-L1DAUxYMo7jr6AXyRgAg-bNekSdv0cVj8Bwv6oM8hTW6GLG0yJi278-29dUZXRelDysnvntybE0Kec3bJGeveFMZ43VWMy4qpvq0OD8g5l0JUfa2ah-Sc9fjf9Y08I09KuWGMib4Tj8lZLXvWMdmek7vPGVywc8qFJk_3GYrNYQBHp1U3c0iRLgWoT5k6WPcLShfUxLsA8-GClnnVVsHRMgLs0SQNI0yFhkin4CqzQ7vtgqAZg4n0Nk0Qn5JH3owFnp3WDfn67u2Xqw_V9af3H6-215VtWD1XwjmhBtE13OPI1grl6po10IJSou26XjYDyKGzynjecuck2FbJ1njFWTtwsSGvj77Y1bcFyqynUCyMo4mQlqKxSKBJjfe2IS__Qm_SkiN294MSeJGivqd2ZgQdok84l11N9bbjrWy45Ct1-Q8KPwdTsCmCD6j_UcCPBTanUjJ4vc9hMvmgOdNr2vqYtsa09Zq2PmDNi1PDy4Bx_ar4GS8Cr06AKdaMPptoQ7nnlOqZxCexIfWRK7gVd5B_m_y_p38HXffA3w</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Schofield, Margot J.</creator><creator>Khan, Asaduzzaman</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20141101</creationdate><title>Predictors of prescribed medication use for depression, anxiety, stress, and sleep problems in mid-aged Australian women</title><author>Schofield, Margot J. ; Khan, Asaduzzaman</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c502t-3dd38b3751f100cc38d2205e6e883677945be4b7c8af161dd4ec6846af8106b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult and adolescent clinical studies</topic><topic>Analysis</topic><topic>Anti-Anxiety Agents - therapeutic use</topic><topic>Antidepressive Agents - therapeutic use</topic><topic>Anxiety</topic><topic>Anxiety Disorders - drug therapy</topic><topic>Australia</topic><topic>Australians</topic><topic>Biological and medical sciences</topic><topic>Depression</topic><topic>Depressive Disorder - drug therapy</topic><topic>Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes</topic><topic>Drug Prescriptions - statistics & numerical data</topic><topic>Drug therapy</topic><topic>Drugs</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Health aspects</topic><topic>Hormone therapy</topic><topic>Humans</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Menopause</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Mood disorders</topic><topic>Nervous system (semeiology, syndromes)</topic><topic>Neurology</topic><topic>Original Paper</topic><topic>Physicians</topic><topic>Practice Patterns, Physicians' - statistics & numerical data</topic><topic>Prevalence</topic><topic>Psychiatry</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Psychotropic drugs</topic><topic>Self Report</topic><topic>Sleep</topic><topic>Sleep disorders</topic><topic>Sleep Wake Disorders - drug therapy</topic><topic>Stress (Psychology)</topic><topic>Stress, Psychological - drug therapy</topic><topic>Surveys</topic><topic>Women</topic><topic>Women's Health</topic><topic>Working women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schofield, Margot J.</creatorcontrib><creatorcontrib>Khan, Asaduzzaman</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Social Psychiatry and Psychiatric Epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schofield, Margot J.</au><au>Khan, Asaduzzaman</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of prescribed medication use for depression, anxiety, stress, and sleep problems in mid-aged Australian women</atitle><jtitle>Social Psychiatry and Psychiatric Epidemiology</jtitle><stitle>Soc Psychiatry Psychiatr Epidemiol</stitle><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><date>2014-11-01</date><risdate>2014</risdate><volume>49</volume><issue>11</issue><spage>1835</spage><epage>1847</epage><pages>1835-1847</pages><issn>0933-7954</issn><eissn>1433-9285</eissn><coden>SPPEEM</coden><abstract>Objective
The study examined prevalence of self-reported use of medication recommended or prescribed by a doctor for depression, anxiety, stress, and sleep problems; and modelled baseline factors that predicted use over 3 years for each condition.
Methods
Analyses were undertaken on the 2001 and 2004 surveys of mid-aged women in the Australian Longitudinal Study on Women’s Health. Dependent variables were self-reported use in past 4 weeks of medications recommended or prescribed by a doctor for depression, anxiety, stress, or sleep problems in 2001 and 2004. Generalized Estimating Equations (GEE) were used to predict medication use for each condition over 3 years.
Results
Prevalence of prescribed medication use (2001, 2004) for each condition was depression (7.2, 8.9 %), anxiety (7.4, 9.0 %), stress (4.8, 5.7 %), and sleep problems (8.7, 9.5 %). Multivariable analyses revealed that odds of medication use across 3 years in all four conditions were higher for women with poorer mental and physical health, using hormone replacement therapy (HRT), or having seen a counsellor; and increased over time for depression, anxiety, and stress models. Medication use for depression was also higher for overweight/obese women, ex-smokers, and unmarried. Medication use for anxiety was higher for unmarried and non-working/low occupational women. Medication use for stress was higher for non-working women. Additional predictors of medication for sleep were surgical menopause, and area of residence.
Conclusions
Self-reported use of prescribed medication for four mental health conditions is increased over time after controlling for mental and physical health and other variables. Research needs to explore decision-making processes influencing differential rates of psychoactive medication use and their relationship with health outcomes.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>24907046</pmid><doi>10.1007/s00127-014-0896-y</doi><tpages>13</tpages></addata></record> |
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subjects | Adult and adolescent clinical studies Analysis Anti-Anxiety Agents - therapeutic use Antidepressive Agents - therapeutic use Anxiety Anxiety Disorders - drug therapy Australia Australians Biological and medical sciences Depression Depressive Disorder - drug therapy Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes Drug Prescriptions - statistics & numerical data Drug therapy Drugs Epidemiology Female Health aspects Hormone therapy Humans Medical sciences Medicine Medicine & Public Health Menopause Middle Aged Miscellaneous Mood disorders Nervous system (semeiology, syndromes) Neurology Original Paper Physicians Practice Patterns, Physicians' - statistics & numerical data Prevalence Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Psychotropic drugs Self Report Sleep Sleep disorders Sleep Wake Disorders - drug therapy Stress (Psychology) Stress, Psychological - drug therapy Surveys Women Women's Health Working women |
title | Predictors of prescribed medication use for depression, anxiety, stress, and sleep problems in mid-aged Australian women |
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