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Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data

Amy L Hall, Göran Kecklund, Constanze Leineweber, Philip Tucker Orcid Logo

BMJ Open, Volume: 9, Issue: 1, Start page: bmjopen-2018-023247

Swansea University Author: Philip Tucker Orcid Logo

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DOI (Published version): 10.1136/bmjopen-2018-023247

Abstract

INTRODUCTIONDepression-related mood disorders affect millions of people worldwide and contribute to substantial morbidity and disability, yet little is known about the effects of work scheduling on depression. This study used a large Swedish survey to prospectively examine the effects of work schedu...

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Published in: BMJ Open
ISSN: 2044-6055 2044-6055
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa46248
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-09-08T09:40:09.7084440</datestamp><bib-version>v2</bib-version><id>46248</id><entry>2018-12-06</entry><title>Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data</title><swanseaauthors><author><sid>7d07250cf5f1cbaf8788af9f48cf000a</sid><ORCID>0000-0002-8105-0901</ORCID><firstname>Philip</firstname><surname>Tucker</surname><name>Philip Tucker</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-12-06</date><deptcode>HPS</deptcode><abstract>INTRODUCTIONDepression-related mood disorders affect millions of people worldwide and contribute to substantial morbidity and disability, yet little is known about the effects of work scheduling on depression. This study used a large Swedish survey to prospectively examine the effects of work schedule on registry-based antidepressant prescriptions in females and males over a two-year period. METHODSThe study was based on an approximately representative sample (n=3980 males, 4663 females) of gainfully employed participants in the Swedish Longitudinal Occupational Survey of Health. Sex-stratified and unstratified analyses were conducted using logistic regression. For exposure, 8 categories described work schedule in 2008: &#x201C;regular days&#x201D; (3 categories of night work history: none, &#x2264; 3 years, 4+ years), &#x201C;night shift work&#x201D;, &#x201C;regular shift work (no nights)&#x201D;, &#x201C;rostered work (no nights)&#x201D;, &#x201C;flexible/non-regulated hours&#x201D;, and &#x201C;other&#x201D;. For the primary outcome measure, all prescriptions coded N06A according to the Anatomical Therapeutic Chemical System were obtained from the Swedish National Prescribed Drug Register and dichotomized into &#x201C;any&#x201D; or &#x201C;no&#x201D; prescriptions between 2008 and 2010. Estimates were adjusted for potential sociodemographic, health, and work confounders, and for prior depressive symptoms.RESULTSIn 2008, 22% of females versus 19% of males worked outside of regular daytime schedule. Registered antidepressant prescription rates in the post-survey period were 11.4% for females versus 5.8% for males. In fully adjusted models, females in &#x201C;flexible/non-regulated&#x201D; schedules showed an increased odds ratio for prospective antidepressant prescriptions (OR=2.01, 95% CI=1.08-3.76). In males, odds ratios were most increased in those working &#x201C;other&#x201D; schedules (OR=1.54, 95% CI=0.93-2.56) and &#x201C;Regular days with 4 or more years&#x2019; history of night work&#x201D; (OR=1.72, 95% CI=0.75-3.94).CONCLUSIONSThis study&#x2019;s findings support a relationship between work schedule and prospective antidepressant prescriptions in the Swedish workforce. Future research should continue to assess sex-stratified relationships, using detailed shift work exposure categories and objective registry data where possible.</abstract><type>Journal Article</type><journal>BMJ Open</journal><volume>9</volume><journalNumber>1</journalNumber><paginationStart>bmjopen-2018-023247</paginationStart><publisher/><issnPrint>2044-6055</issnPrint><issnElectronic>2044-6055</issnElectronic><keywords>Shift work, working time, mental health, antidepressants, epidemiology</keywords><publishedDay>17</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-01-17</publishedDate><doi>10.1136/bmjopen-2018-023247</doi><url/><notes/><college>COLLEGE NANME</college><department>Psychology</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HPS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-09-08T09:40:09.7084440</lastEdited><Created>2018-12-06T13:09:37.6359900</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">School of Psychology</level></path><authors><author><firstname>Amy L</firstname><surname>Hall</surname><order>1</order></author><author><firstname>G&#xF6;ran</firstname><surname>Kecklund</surname><order>2</order></author><author><firstname>Constanze</firstname><surname>Leineweber</surname><order>3</order></author><author><firstname>Philip</firstname><surname>Tucker</surname><orcid>0000-0002-8105-0901</orcid><order>4</order></author></authors><documents><document><filename>0046248-18012019074942.pdf</filename><originalFilename>Halletal2019.pdf</originalFilename><uploaded>2019-01-18T07:49:42.7270000</uploaded><type>Output</type><contentLength>299901</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-01-17T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution Non Commercial License (CC-BY-NC).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2020-09-08T09:40:09.7084440 v2 46248 2018-12-06 Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data 7d07250cf5f1cbaf8788af9f48cf000a 0000-0002-8105-0901 Philip Tucker Philip Tucker true false 2018-12-06 HPS INTRODUCTIONDepression-related mood disorders affect millions of people worldwide and contribute to substantial morbidity and disability, yet little is known about the effects of work scheduling on depression. This study used a large Swedish survey to prospectively examine the effects of work schedule on registry-based antidepressant prescriptions in females and males over a two-year period. METHODSThe study was based on an approximately representative sample (n=3980 males, 4663 females) of gainfully employed participants in the Swedish Longitudinal Occupational Survey of Health. Sex-stratified and unstratified analyses were conducted using logistic regression. For exposure, 8 categories described work schedule in 2008: “regular days” (3 categories of night work history: none, ≤ 3 years, 4+ years), “night shift work”, “regular shift work (no nights)”, “rostered work (no nights)”, “flexible/non-regulated hours”, and “other”. For the primary outcome measure, all prescriptions coded N06A according to the Anatomical Therapeutic Chemical System were obtained from the Swedish National Prescribed Drug Register and dichotomized into “any” or “no” prescriptions between 2008 and 2010. Estimates were adjusted for potential sociodemographic, health, and work confounders, and for prior depressive symptoms.RESULTSIn 2008, 22% of females versus 19% of males worked outside of regular daytime schedule. Registered antidepressant prescription rates in the post-survey period were 11.4% for females versus 5.8% for males. In fully adjusted models, females in “flexible/non-regulated” schedules showed an increased odds ratio for prospective antidepressant prescriptions (OR=2.01, 95% CI=1.08-3.76). In males, odds ratios were most increased in those working “other” schedules (OR=1.54, 95% CI=0.93-2.56) and “Regular days with 4 or more years’ history of night work” (OR=1.72, 95% CI=0.75-3.94).CONCLUSIONSThis study’s findings support a relationship between work schedule and prospective antidepressant prescriptions in the Swedish workforce. Future research should continue to assess sex-stratified relationships, using detailed shift work exposure categories and objective registry data where possible. Journal Article BMJ Open 9 1 bmjopen-2018-023247 2044-6055 2044-6055 Shift work, working time, mental health, antidepressants, epidemiology 17 1 2019 2019-01-17 10.1136/bmjopen-2018-023247 COLLEGE NANME Psychology COLLEGE CODE HPS Swansea University 2020-09-08T09:40:09.7084440 2018-12-06T13:09:37.6359900 Faculty of Medicine, Health and Life Sciences School of Psychology Amy L Hall 1 Göran Kecklund 2 Constanze Leineweber 3 Philip Tucker 0000-0002-8105-0901 4 0046248-18012019074942.pdf Halletal2019.pdf 2019-01-18T07:49:42.7270000 Output 299901 application/pdf Version of Record true 2019-01-17T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non Commercial License (CC-BY-NC). true eng
title Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data
spellingShingle Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data
Philip Tucker
title_short Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data
title_full Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data
title_fullStr Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data
title_full_unstemmed Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data
title_sort Effect of work schedule on prospective antidepressant prescriptions in Sweden: a 2-year sex-stratified analysis using national drug registry data
author_id_str_mv 7d07250cf5f1cbaf8788af9f48cf000a
author_id_fullname_str_mv 7d07250cf5f1cbaf8788af9f48cf000a_***_Philip Tucker
author Philip Tucker
author2 Amy L Hall
Göran Kecklund
Constanze Leineweber
Philip Tucker
format Journal article
container_title BMJ Open
container_volume 9
container_issue 1
container_start_page bmjopen-2018-023247
publishDate 2019
institution Swansea University
issn 2044-6055
2044-6055
doi_str_mv 10.1136/bmjopen-2018-023247
college_str Faculty of Medicine, Health and Life Sciences
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hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology
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description INTRODUCTIONDepression-related mood disorders affect millions of people worldwide and contribute to substantial morbidity and disability, yet little is known about the effects of work scheduling on depression. This study used a large Swedish survey to prospectively examine the effects of work schedule on registry-based antidepressant prescriptions in females and males over a two-year period. METHODSThe study was based on an approximately representative sample (n=3980 males, 4663 females) of gainfully employed participants in the Swedish Longitudinal Occupational Survey of Health. Sex-stratified and unstratified analyses were conducted using logistic regression. For exposure, 8 categories described work schedule in 2008: “regular days” (3 categories of night work history: none, ≤ 3 years, 4+ years), “night shift work”, “regular shift work (no nights)”, “rostered work (no nights)”, “flexible/non-regulated hours”, and “other”. For the primary outcome measure, all prescriptions coded N06A according to the Anatomical Therapeutic Chemical System were obtained from the Swedish National Prescribed Drug Register and dichotomized into “any” or “no” prescriptions between 2008 and 2010. Estimates were adjusted for potential sociodemographic, health, and work confounders, and for prior depressive symptoms.RESULTSIn 2008, 22% of females versus 19% of males worked outside of regular daytime schedule. Registered antidepressant prescription rates in the post-survey period were 11.4% for females versus 5.8% for males. In fully adjusted models, females in “flexible/non-regulated” schedules showed an increased odds ratio for prospective antidepressant prescriptions (OR=2.01, 95% CI=1.08-3.76). In males, odds ratios were most increased in those working “other” schedules (OR=1.54, 95% CI=0.93-2.56) and “Regular days with 4 or more years’ history of night work” (OR=1.72, 95% CI=0.75-3.94).CONCLUSIONSThis study’s findings support a relationship between work schedule and prospective antidepressant prescriptions in the Swedish workforce. Future research should continue to assess sex-stratified relationships, using detailed shift work exposure categories and objective registry data where possible.
published_date 2019-01-17T03:58:00Z
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