Literature DB >> 31379275

Gender differences in post-stroke depression: A longitudinal analysis of prevalence, persistence and predictive value of known risk factors.

Matthias Volz1, Simon Ladwig2,3, Katja Werheid2,3.   

Abstract

Post-stroke depression (PSD) is the most frequent psychiatric condition after stroke with a prevalence of approximately 33%. In the general population, depression is consistently reported to be more frequent in women than in men. Evidence about gender differences in PSD remains inconclusive and it is unknown if established risk factors exert gender-specific influence. The authors examined gender differences in PSD prevalence, persistence and influence of established risk factors using χ 2- and Welch's t-tests and continuous-time structural equation modelling (CT-SEM). Patients (N = 301) from the longitudinal Berlin-PSD-study were assessed six weeks (baseline), and up to four times during the first 2.5 years post-stroke using DSM-5 depression criteria and the Geriatric Depression Scale (GDS). Established risk factors were assessed at baseline. Women showed higher PSD prevalence and severity at baseline (p < .01) but not thereafter (p ≥ .43). CT-SEM analysis revealed that known risk factors predicted depression, yet predictive value and persistence did not differ between genders. Our results showed that established PSD risk factors influence both genders to a similar extent and that in contrast to depression in the general population, gender differences in PSD prevalence and severity disappeared within six months post-stroke. Thus, for reasons yet to be deciphered, gender differences in PSD appear to be time-dependent after stroke.

Entities:  

Keywords:  Depression (DSM-5); Gender; Longitudinal analysis; Risk factors; Stroke

Year:  2019        PMID: 31379275     DOI: 10.1080/09602011.2019.1648301

Source DB:  PubMed          Journal:  Neuropsychol Rehabil        ISSN: 0960-2011            Impact factor:   2.868


  6 in total

Review 1.  Importance of sex and gender in ischaemic stroke and carotid atherosclerotic disease.

Authors:  Karina Gasbarrino; Diana Di Iorio; Stella S Daskalopoulou
Journal:  Eur Heart J       Date:  2022-02-10       Impact factor: 29.983

2.  PREDICTORS OF EARLY-ONSET DEPRESSION AFTER FIRST-EVER STROKE.

Authors:  Tamara Rabi-Žikić; Željko Živanović; Vlado Đajić; Svetlana Simić; Svetlana Ružička-Kaloci; Sonja Slankamenac; Milorad Žikić
Journal:  Acta Clin Croat       Date:  2020-03       Impact factor: 0.780

3.  Prevalence and Associated Factors of Poststroke Depression among Outpatient Stroke Patients Who Have a Follow-Up at the Outpatient Neurology Clinic of Zewditu Memorial Hospital in Addis Ababa, Ethiopia.

Authors:  Tsion Yehualashet Wubshet; Sisay Gizaw Geberemichael; Takle Menna Adilo; Temesgen Tantu Arusi; Muluken Gunta Gutulo; Dereje Zewdu Assefa; Mekete Wondesen Asfaw
Journal:  Depress Res Treat       Date:  2022-03-22

4.  Predictors of Post-Stroke Depression: A Retrospective Cohort Study.

Authors:  Durgesh Chaudhary; Isabel Friedenberg; Vishakha Sharma; Pragyan Sharma; Vida Abedi; Ramin Zand; Jiang Li
Journal:  Brain Sci       Date:  2022-07-27

Review 5.  Microglia Involves in the Immune Inflammatory Response of Poststroke Depression: A Review of Evidence.

Authors:  Weili Xia; Yong Xu; Yuandong Gong; Xiaojing Cheng; Tiangui Yu; Gongchang Yu
Journal:  Oxid Med Cell Longev       Date:  2022-08-02       Impact factor: 7.310

6.  Long-term perceived disabilities up to 10 years after transient ischaemic attack.

Authors:  Jenni Andersson; Britt-Marie Stålnacke; Ann Sörlin; Gustaf Magaard; Xiaolei Hu
Journal:  J Rehabil Med       Date:  2021-03-22       Impact factor: 2.912

  6 in total

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