Literature DB >> 25113318

Time trends of antidepressant drug prescriptions in men versus women in a geographically defined US population.

Wenjun Zhong1, Hilal Maradit Kremers, Barbara P Yawn, William V Bobo, Jennifer L St Sauver, Jon O Ebbert, Lila J Finney Rutten, Debra J Jacobson, Scott M Brue, Walter A Rocca.   

Abstract

The aim of this work was to study time trends of antidepressant drug (AD) prescriptions in a geographically defined US population between 2005 and 2011 for men and women separately. Using the Rochester Epidemiology Project medical records-linkage system, we identified all Olmsted County, MN residents who received AD outpatient prescriptions between 2005 and 2011 (7 years). We calculated the annual age- and sex-specific prevalence over 7 years and used generalized estimating equation models to test for time trends. The prevalence of subjects receiving at least one AD prescription was approximately two times higher in women than in men consistently across the 7 years of the study. The standardized annual prevalence increased from 10.8 % in 2005 to 14.4 % in 2011 overall, from 7.0 % in 2005 to 9.9 % in 2011 for men, and from 14.4 % in 2005 to 18.6 % in 2011 for women. The absolute percent increase was greater in women (4.2 vs. 2.9 %; standardized); however, the relative percent increase was greater in men (41.4 vs. 29.2 %; standardized). The relative percent increase was greater in the age group 65+ years for both men and women. AD prescriptions are increasing over time, especially in the elderly. Women receive more AD prescriptions than men. However, the relative increase in AD prescriptions over time is greater in men than women.

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Year:  2014        PMID: 25113318      PMCID: PMC4239307          DOI: 10.1007/s00737-014-0450-7

Source DB:  PubMed          Journal:  Arch Womens Ment Health        ISSN: 1434-1816            Impact factor:   3.633


  28 in total

1.  Using RxNorm and NDF-RT to classify medication data extracted from electronic health records: experiences from the Rochester Epidemiology Project.

Authors:  Jyotishman Pathak; Sean P Murphy; Brian N Willaert; Hilal M Kremers; Barbara P Yawn; Walter A Rocca; Christopher G Chute
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Generalizability of epidemiological findings and public health decisions: an illustration from the Rochester Epidemiology Project.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Cynthia L Leibson; Barbara P Yawn; L Joseph Melton; Walter A Rocca
Journal:  Mayo Clin Proc       Date:  2012-02       Impact factor: 7.616

3.  Changes in the prevalence of psychological distress and use of antidepressants or anti-anxiety medications associated with comorbid chronic diseases in the adult Australian population, 2001-2008.

Authors:  Evan Atlantis; Thomas Sullivan; Norman Sartorius; Osvaldo P Almeida
Journal:  Aust N Z J Psychiatry       Date:  2012-01-05       Impact factor: 5.744

4.  Data resource profile: the Rochester Epidemiology Project (REP) medical records-linkage system.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Joshua J Pankratz; Scott M Brue; Walter A Rocca
Journal:  Int J Epidemiol       Date:  2012-11-18       Impact factor: 7.196

5.  Prevalence, correlates, and disease patterns of antidepressant use in Taiwan.

Authors:  Chien-Cheng Kuo; I-Chia Chien; Ching-Heng Lin; Wen-Guang Lee; Yiing-Jenq Chou; Cheng-Hua Lee; Pesus Chou
Journal:  Compr Psychiatry       Date:  2011-02-24       Impact factor: 3.735

6.  Age and sex patterns of drug prescribing in a defined American population.

Authors:  Wenjun Zhong; Hilal Maradit-Kremers; Jennifer L St Sauver; Barbara P Yawn; Jon O Ebbert; Véronique L Roger; Debra J Jacobson; Michaela E McGree; Scott M Brue; Walter A Rocca
Journal:  Mayo Clin Proc       Date:  2013-06-19       Impact factor: 7.616

7.  Antidepressants utilization among elderly in Lombardy from 2000 to 2007: dispensing trends and appropriateness.

Authors:  Alberto Parabiaghi; Carlotta Franchi; Mauro Tettamanti; Angelo Barbato; Barbara D'Avanzo; Ida Fortino; Angela Bortolotti; Luca Merlino; Alessandro Nobili
Journal:  Eur J Clin Pharmacol       Date:  2011-05-07       Impact factor: 2.953

8.  Utilization of antidepressants in Taiwan: a nationwide population-based survey from 2000 to 2009.

Authors:  Chi-Shin Wu; Wen-Yi Shau; Hung-Yu Chan; Yen-Chieh Lee; Yun-Ju Lai; Mei-Shu Lai
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-04-17       Impact factor: 2.890

9.  Is drug utilization in Greece sex dependent? A population-based study.

Authors:  Charalampos Athanasopoulos; Pothitos M Pitychoutis; Ioanna Messari; Christos Lionis; Zeta Papadopoulou-Daifoti
Journal:  Basic Clin Pharmacol Toxicol       Date:  2012-08-22       Impact factor: 4.080

Review 10.  History of the Rochester Epidemiology Project: half a century of medical records linkage in a US population.

Authors:  Walter A Rocca; Barbara P Yawn; Jennifer L St Sauver; Brandon R Grossardt; L Joseph Melton
Journal:  Mayo Clin Proc       Date:  2012-11-28       Impact factor: 7.616

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  7 in total

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Authors:  Anthony F Jorm; Scott B Patten; Traolach S Brugha; Ramin Mojtabai
Journal:  World Psychiatry       Date:  2017-02       Impact factor: 49.548

2.  Replication and reproducibility issues in the relationship between C-reactive protein and depression: A systematic review and focused meta-analysis.

Authors:  Sarah R Horn; Madison M Long; Benjamin W Nelson; Nicholas B Allen; Philip A Fisher; Michelle L Byrne
Journal:  Brain Behav Immun       Date:  2018-06-19       Impact factor: 7.217

3.  Conflict in Men's Experiences With Antidepressants.

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Journal:  Am J Mens Health       Date:  2016-03-18

4.  Sex differences in pharmacological treatment of major depressive disorder: results from the AMSP pharmacovigilance program from 2001 to 2017.

Authors:  Johanna Seifert; Fabienne Führmann; Marcel Sieberer; Waldemar Greil; Matthias A Reinhard; Rolf R Engel; Xueqiong Bernegger; Stefan Bleich; Susanne Stübner; Eckart Rüther; Sermin Toto; Renate Grohmann
Journal:  J Neural Transm (Vienna)       Date:  2021-05-11       Impact factor: 3.575

5.  Influences on antidepressant prescribing trends in the UK: 1995-2011.

Authors:  Becky Mars; Jon Heron; David Kessler; Neil M Davies; Richard M Martin; Kyla H Thomas; David Gunnell
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2016-11-24       Impact factor: 4.328

6.  Multinational comparison of new antidepressant use in older adults: a cohort study.

Authors:  Robyn Tamblyn; David Westfall Bates; David L Buckeridge; Will Dixon; Alan J Forster; Nadyne Girard; Jennifer Haas; Bettina Habib; Siyana Kurteva; Jack Li; Therese Sheppard
Journal:  BMJ Open       Date:  2019-05-14       Impact factor: 2.692

7.  Polypharmacy occurrence and the related risk of premature death among older adults in Denmark: A nationwide register-based cohort study.

Authors:  Anna Vera Jørring Pallesen; Maria Kristiansen; Rudi G J Westendorp; Laust Hvas Mortensen
Journal:  PLoS One       Date:  2022-02-23       Impact factor: 3.240

  7 in total

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