Zoltan Kozinszky

Dr. Zoltan Kozinszky

orcid
medical doctor and researcher

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2015 in Journal of Affective Disorders
Verified
Journal Article
Closed access
ZKZoltan Kozinszky
Zoltan Kozinszky
RDRobert Dudas
Robert Dudas

22 October 2020 in International Journal of Methods in Psychiatric Research
Verified
Journal Article
Open access
PDF file
ALAnita Lyubenova
Anita Lyubenova
DNDipika Neupane
Dipika Neupane
BLBrooke Levis
Brooke Levis
YWYin Wu
Yin Wu
YSYing Sun
Ying Sun
BTBrett D. Thombs
Brett D. Thombs
Objectives: Estimates of depression prevalence in pregnancy and postpartum are based on the Edinburgh Postnatal Depression Scale (EPDS) more than on any other method. We aimed to determine if any EPDS cutoff can accurately and consistently estimate depression prevalence in individual studies.Methods: We analyzed datasets that compared EPDS scores to Structured Clinical Interview for DSM (SCID) major depression status. Random‐effects meta‐analysis was used to compare prevalence with EPDS cutoffs versus the SCID.Results: Seven thousand three hundred and fifteen participants (1017 SCID major depression) from 29 primary studies were included. For EPDS cutoffs used to estimate prevalence in recent studies (≥9 to ≥14), pooled prevalence estimates ranged from 27.8% (95% CI: 22.0%–34.5%) for EPDS ≥ 9 to 9.0% (95% CI: 6.8%–11.9%) for EPDS ≥ 14; pooled SCID major depression prevalence was 9.0% (95% CI: 6.5%–12.3%). EPDS ≥14 provided pooled prevalence closest to SCID‐based prevalence but differed from SCID prevalence in individual studies by a mean absolute difference of 5.1% (95% prediction interval: −13.7%, 12.3%).Conclusion: EPDS ≥14 approximated SCID‐based prevalence overall, but considerable heterogeneity in individual studies is a barrier to using it for prevalence estimation.

18 January 2012 in Psychotherapy and Psychosomatics
Verified
Journal Article
Closed access
ZKZoltan Kozinszky
Zoltan Kozinszky
RDRobert B. Dudas
Robert B. Dudas
IDIván Devosa
Iván Devosa
SCSarolta Csatordai
Sarolta Csatordai
ÉTÉva Tóth
Éva Tóth
APAttila Pál
Attila Pál
Background: Psychosocial and psychological interventions are generally effective in reducing depressive symptomatology in the postpartum period. Our aim was to evaluate the effectiveness of a brief preventive group intervention for postpartum depression (PPD) in a naturalistic setting, and study the effect of this on social and psychological risk factors. Methods: We conducted a randomized controlled trial (n = 1,719) in south-eastern Hungary in 62 antepartum centers. Pregnant women (n = 710) underwent a 4-session preventive group intervention whereas a control group (n = 1,009) attended 4 sessions providing the same information given in usual care. Results: Our intervention appeared to significantly reduce the risk of PPD, as defined by Leverton Questionnaire total scores (OR = 0.69). It resulted in an absolute risk reduction of about 18% in those with antepartum depression and 0.5% in those with no depression at recruitment. A multiple logistic regression analysis revealed a much reduced risk in those with a perceived lack of partner support (OR = 0.4) in the treatment group. Unplanned pregnancy, an irreversible risk factor affecting every fifth woman, also seemed to have a reduced effect on PPD after our group intervention (OR = 0.81). Conclusions: A brief preventive antepartum group intervention focusing on psychoeducation, stress management, improving coping mechanisms, and the development of social support can be effective in reducing postpartum depressive symptomatology.

30 September 2019 in International Journal of Methods in Psychiatric Research
Verified
Journal Article
Open access
PDF file
BLBrooke Levis
Brooke Levis
DMDean McMillan
Dean McMillan
YSYing Sun
Ying Sun
CHChen He
Chen He
DRDanielle B. Rice
Danielle B. Rice
BTBrett D. Thombs
Brett D. Thombs
Objectives: A previous individual participant data meta‐analysis (IPDMA) identified differences in major depression classification rates between different diagnostic interviews, controlling for depressive symptoms on the basis of the Patient Health Questionnaire‐9. We aimed to determine whether similar results would be seen in a different population, using studies that administered the Edinburgh Postnatal Depression Scale (EPDS) in pregnancy or postpartum.Methods: Data accrued for an EPDS diagnostic accuracy IPDMA were analysed. Binomial generalised linear mixed models were fit to compare depression classification odds for the Mini International Neuropsychiatric Interview (MINI), Composite International Diagnostic Interview (CIDI), and Structured Clinical Interview for DSM (SCID), controlling for EPDS scores and participant characteristics.Results: Among fully structured interviews, the MINI (15 studies, 2,532 participants, 342 major depression cases) classified depression more often than the CIDI (3 studies, 2,948 participants, 194 major depression cases; adjusted odds ratio [aOR] = 3.72, 95% confidence interval [CI] [1.21, 11.43]). Compared with the semistructured SCID (28 studies, 7,403 participants, 1,027 major depression cases), odds with the CIDI (interaction aOR = 0.88, 95% CI [0.85, 0.92]) and MINI (interaction aOR = 0.95, 95% CI [0.92, 0.99]) increased less as EPDS scores increased.Conclusion: Different interviews may not classify major depression equivalently.

1 November 2016 in Fertility and Sterility
Verified
Journal Article
Closed access
VMVirág Márton
Virág Márton
JZJános Zádori
János Zádori
ZKZoltan Kozinszky
Zoltan Kozinszky
AKAttila Keresztúri
Attila Keresztúri

1 April 2013 in Midwifery
Verified
Journal Article
Closed access
ATAnnamária Töreki
Annamária Töreki
BABálint Andó
Bálint Andó
AKAttila Keresztúri
Attila Keresztúri
JSJános Sikovanyecz
János Sikovanyecz
RDRobert B. Dudas
Robert B. Dudas
APAttila Pál
Attila Pál