| Keyword search (4,163 papers available) | ![]() |
"major depression" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Hypothalamic-pituitary-adrenal axis functioning in offspring of parents with a major affective disorder: a meta-analytic review | Serravalle L; Trespalacios F; Ellenbogen MA; | 39207496 CRDH |
| 2 | Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta-analysis | Lyubenova A; Neupane D; Levis B; Wu Y; Sun Y; He C; Krishnan A; Bhandari PM; Negeri Z; Imran M; Rice DB; Azar M; Chiovitti MJ; Saadat N; Riehm KE; Boruff JT; Ioannidis JPA; Cuijpers P; Gilbody S; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Comeau L; Mitchell ND; Tonelli M; Vigod SN; Aceti F; Barnes J; Bavle AD; Beck CT; Bindt C; Boyce PM; Bunevicius A; Chaudron LH; Favez N; Figueiredo B; Garcia-Esteve L; Giardinelli L; Helle N; Howard LM; Kohlhoff J; Kusminskas L; Kozinszky Z; Lelli L; Leonardou AA; Meuti V; Radoš SN; García PN; Pawlby SJ; Quispel C; Robertson-Blackmore E; Rochat TJ; Sharp DJ; Siu BWM; Stein A; Stewart RC; Tadinac M; Tandon SD; Tendais I; Töreki A; Torres-Giménez A; Tran TD; Trevillion K; Turner K; Vega-Dienstmaier JM; Benedetti A; Thombs BD; | 33089942 CONCORDIA |
| 3 | Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses | Wu Y; Levis B; Ioannidis JPA; Benedetti A; Thombs BD; | 32814337 LIBRARY |
| 4 | Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies | Wu Y; Levis B; Sun Y; Krishnan A; He C; Riehm KE; Rice DB; Azar M; Yan XW; Neupane D; Bhandari PM; Imran M; Chiovitti MJ; Saadat N; Boruff JT; Cuijpers P; Gilbody S; McMillan D; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Henry M; Ismail Z; Loiselle CG; Mitchell ND; Tonelli M; Al-Adawi S; Beraldi A; Braeken APBM; Büel-Drabe N; Bunevicius A; Carter G; Chen CK; Cheung G; Clover K; Conroy RM; Cukor D; da Rocha E Silva CE; Dabscheck E; Daray FM; Douven E; Downing MG; Feinstein A; Ferentinos PP; Fischer FH; Flint AJ; Fujimori M; Gallagher P; Gandy M; Goebel S; Grassi L; Härter M; Jenewein J; Jetté N; Julião M; Kim JM; Kim SW; Kjærgaard M; Köhler S; Loosman WL; Löwe B; Martin-Santos R; Massardo L; Matsuoka Y; Mehnert A; Michopoulos I; Misery L; Navines R; O' Donnell ML; Öztürk A; Peceliuniene J; Pintor L; Ponsford JL; Quinn TJ; Reme SE; Reuter K; Rooney AG; Sánchez-González R; Schwarzbold ML; Senturk Cankorur V; Shaaban J; Sharpe L; Sharpe M; Simard S; Singer S; Stafford L; Stone J; Sultan S; Teixeira AL; Tiringer I; Turner A; Walker J; Walterfang M; Wang LJ; White J; Wong DK; Benedetti A; Thombs BD; | 31911325 LIBRARY |
| 5 | Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta-analysis | Levis B; McMillan D; Sun Y; He C; Rice DB; Krishnan A; Wu Y; Azar M; Sanchez TA; Chiovitti MJ; Bhandari PM; Neupane D; Saadat N; Riehm KE; Imran M; Boruff JT; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Comeau L; Mitchell ND; Tonelli M; Vigod SN; Aceti F; Alvarado R; Alvarado-Esquivel C; Bakare MO; Barnes J; Beck CT; Bindt C; Boyce PM; Bunevicius A; Couto TCE; Chaudron LH; Correa H; de Figueiredo FP; Eapen V; Fernandes M; Figueiredo B; Fisher JRW; Garcia-Esteve L; Giardinelli L; Helle N; Howard LM; Khalifa DS; Kohlhoff J; Kusminskas L; Kozinszky Z; Lelli L; Leonardou AA; Lewis BA; Maes M; Meuti V; Nakic Radoš S; Navarro García P; Nishi D; Okitundu Luwa E-Andjafono D; Robertson-Blackmore E; Rochat TJ; Rowe HJ; Siu BWM; Skalkidou A; Stein A; Stewart RC; Su KP; Sundström-Poromaa I; Tadinac M; Tandon SD; Tendais I; Thiagayson P; Töreki A; Torres-Giménez A; Tran TD; Trevillion K; Turner K; Vega-Dienstmaier JM; Wynter K; Yonkers KA; Benedetti A; Thombs BD; | 31568624 LIBRARY |
| 6 | Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses. | Thombs BD, Benedetti A, Kloda LA, Levis B, Azar M, Riehm KE, Saadat N, Cuijpers P, Gilbody S, Ioannidis JP, McMillan D, Patten SB, Shrier I, Steele RJ, Ziegelstein RC, Loiselle CG, Henry M, Ismail Z, Mitchell N, Tonelli M | 27075844 LIBRARY |
| Title: | Hypothalamic-pituitary-adrenal axis functioning in offspring of parents with a major affective disorder: a meta-analytic review | ||||
| Authors: | Serravalle L, Trespalacios F, Ellenbogen MA | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/39207496/ | ||||
| DOI: | 10.1007/s00787-024-02553-0 | ||||
| Publication: | European child & adolescent psychiatry | ||||
| Keywords: | Affective disorders; Bipolar disorder; Cortisol; HPA axis; High-risk offspring; Major depression; | ||||
| PMID: | 39207496 | Category: | Date Added: | 2024-08-31 | |
| Dept Affiliation: |
CRDH
1 Department of Psychology, Centre for Research in Human Development, Concordia University, 7141 Sherbrooke W., Montréal, QC, H4B 1R6, Canada. 2 Department of Psychology, Centre for Research in Human Development, Concordia University, 7141 Sherbrooke W., Montréal, QC, H4B 1R6, Canada. mark.ellenbogen@concordia.ca. |
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Description: |
Because the offspring of parents with an affective disorder (OAD) are at high risk for developing mental disorders, and persons with an affective disorder (AD) show dysfunctional hypothalamic-pituitary-adrenal (HPA) axis activity, changes in HPA functioning in OAD might be an etiological risk factor that precedes the development of ADs. The primary aim of the meta-analysis was to quantitatively summarize the existing data on different indices of diurnal cortisol in the OAD. The secondary aim was to explore potential moderators of this relation. Following PRISMA guidelines, we included 26 studies (3052 offspring) on diurnal cortisol in our meta-analysis after an initial screening of 3408 articles. Intercept-only and meta-regression models were computed using the robust variance estimation method. Analyses examining mean cortisol levels at discrete timepoints, total cortisol output, and the cortisol rise in response to awakening (CAR) were conducted separately. The results demonstrated that the OAD had higher mean levels of cortisol at different timepoints throughout the day compared to controls (Hedge's g = 0.21). There was evidence of publication bias in studies examining CAR, such that effect sizes were positively biased. The present findings are consistent with a meta-analysis showing elevated cortisol in youth having an AD. Notable limitations across studies include the method of cortisol measurement and assessment of ADs. Altogether, these results highlight the fact that increased cortisol levels may act as a potential neuroendocrine antecedent and/or risk factor for the development of ADs among high risk youth. |



