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Morawej Z, Misra S, Ametaj AA, Stevenson A, Kyebuzibwa J, Gelaye B, Akena D. Experiences of trauma and psychometric properties of the Life Events Checklist among adults in Uganda. PLoS One 2024; 19:e0298385. [PMID: 38687810 PMCID: PMC11060541 DOI: 10.1371/journal.pone.0298385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 01/23/2024] [Indexed: 05/02/2024] Open
Abstract
Exposure to potentially traumatic events (PTE) is common and increases an individual's risk of developing post-traumatic stress disorder (PTSD) and other psychiatric disorders. PTEs can be screened with the Life Events Checklist for DSM 5 (LEC-5). However, the psychometric properties of the LEC-5 have never been assessed in Uganda. We aimed to estimate the prevalence of PTEs and evaluate the factor structure of the LEC-5 in a sample of N = 4,479 Ugandan adults between February 2018 -March 2020. We used the phenotyping data from a case-control study (NeuroGAP-Psychosis) in Uganda investigating the genetic and environmental risk factors for psychosis spectrum disorders with 4,479 participants (2,375 cases and 2,104 controls). Prevalence for PTEs was determined for all participants and by case-control status. The factor structure of the LEC-5 was assessed using an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA). The overall prevalence of exposure to one or more types of PTEs was 60.5%. Cases reported more frequency of exposure to PTEs than controls (64.2% vs 55.4%; p<0.001). The most frequently endorsed traumatic event was physical assault (22.8%), while exposure to toxic substances was the least endorsed (1.7%). There were several differences among the types of events experienced between cases and controls, including cases reporting more experiences of physical (28.6% vs. 16.2%, p<0.001) and sexual assault (11.5% vs. 5.0%, p<0.001) than controls. The EFA yielded a six-factor model that explained 49.8% of the total variance. The CFA showed that a theoretical seven-factor model based on the South African Stress and Health survey was a better fitting model (CFI = 0.935; TLI = 0.908; RMSEA = 0.026) than the EFA. This study revealed a high prevalence of PTEs among cases and controls, and the LEC-5 was found to have good psychometric properties among Ugandan adults.
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Affiliation(s)
- Zahra Morawej
- Department of Psychiatry, Faculty of Medicine, Hubert Kairuki Memorial University, Dar es Salaam, Tanzania
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Supriya Misra
- Department of Public Health, San Francisco State University, San Francisco, CA, United States of America
| | - Amantia A. Ametaj
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America
| | - Anne Stevenson
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America
- Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Joseph Kyebuzibwa
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America
- Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States of America
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
| | - Dickens Akena
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
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Nievergelt CM, Maihofer AX, Atkinson EG, Chen CY, Choi KW, Coleman JRI, Daskalakis NP, Duncan LE, Polimanti R, Aaronson C, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegoviç E, Babić D, Bacanu SA, Baker DG, Batzler A, Beckham JC, Belangero S, Benjet C, Bergner C, Bierer LM, Biernacka JM, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Brandolino A, Breen G, Bressan RA, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Bækvad-Hansen M, Børglum AD, Børte S, Cahn L, Calabrese JR, Caldas-de-Almeida JM, Chatzinakos C, Cheema S, Clouston SAP, Colodro-Conde L, Coombes BJ, Cruz-Fuentes CS, Dale AM, Dalvie S, Davis LK, Deckert J, Delahanty DL, Dennis MF, Desarnaud F, DiPietro CP, Disner SG, Docherty AR, Domschke K, Dyb G, Kulenović AD, Edenberg HJ, Evans A, Fabbri C, Fani N, Farrer LA, Feder A, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gelaye B, Gelernter J, Geuze E, Gillespie CF, Goleva SB, Gordon SD, Goçi A, Grasser LR, Guindalini C, Haas M, Hagenaars S, Hauser MA, Heath AC, Hemmings SMJ, Hesselbrock V, Hickie IB, Hogan K, Hougaard DM, Huang H, Huckins LM, Hveem K, Jakovljević M, Javanbakht A, Jenkins GD, Johnson J, Jones I, Jovanovic T, Karstoft KI, Kaufman ML, Kennedy JL, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kotov R, Kranzler HR, Krebs K, Kremen WS, Kuan PF, Lawford BR, Lebois LAM, Lehto K, Levey DF, Lewis C, Liberzon I, Linnstaedt SD, Logue MW, Lori A, Lu Y, Luft BJ, Lupton MK, Luykx JJ, Makotkine I, Maples-Keller JL, Marchese S, Marmar C, Martin NG, Martínez-Levy GA, McAloney K, McFarlane A, McLaughlin KA, McLean SA, Medland SE, Mehta D, Meyers J, Michopoulos V, Mikita EA, Milani L, Milberg W, Miller MW, Morey RA, Morris CP, Mors O, Mortensen PB, Mufford MS, Nelson EC, Nordentoft M, Norman SB, Nugent NR, O'Donnell M, Orcutt HK, Pan PM, Panizzon MS, Pathak GA, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Porjesz B, Powers A, Qin XJ, Ratanatharathorn A, Risbrough VB, Roberts AL, Rothbaum AO, Rothbaum BO, Roy-Byrne P, Ruggiero KJ, Rung A, Runz H, Rutten BPF, de Viteri SS, Salum GA, Sampson L, Sanchez SE, Santoro M, Seah C, Seedat S, Seng JS, Shabalin A, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stensland S, Stevens JS, Sumner JA, Teicher MH, Thompson WK, Tiwari AK, Trapido E, Uddin M, Ursano RJ, Valdimarsdóttir U, Van Hooff M, Vermetten E, Vinkers CH, Voisey J, Wang Y, Wang Z, Waszczuk M, Weber H, Wendt FR, Werge T, Williams MA, Williamson DE, Winsvold BS, Winternitz S, Wolf C, Wolf EJ, Xia Y, Xiong Y, Yehuda R, Young KA, Young RM, Zai CC, Zai GC, Zervas M, Zhao H, Zoellner LA, Zwart JA, deRoon-Cassini T, van Rooij SJH, van den Heuvel LL, Stein MB, Ressler KJ, Koenen KC. Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder. Nat Genet 2024:10.1038/s41588-024-01707-9. [PMID: 38637617 DOI: 10.1038/s41588-024-01707-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 03/05/2024] [Indexed: 04/20/2024]
Abstract
Post-traumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 new). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (for example, GRIA1, GRM8 and CACNA1E), developmental, axon guidance and transcription factors (for example, FOXP2, EFNA5 and DCC), synaptic structure and function genes (for example, PCLO, NCAM1 and PDE4B) and endocrine or immune regulators (for example, ESR1, TRAF3 and TANK). Additional top genes influence stress, immune, fear and threat-related processes, previously hypothesized to underlie PTSD neurobiology. These findings strengthen our understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation.
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Affiliation(s)
- Caroline M Nievergelt
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA.
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA.
| | - Adam X Maihofer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA
| | - Elizabeth G Atkinson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Chia-Yen Chen
- Biogen Inc.,Translational Sciences, Cambridge, MA, USA
| | - Karmel W Choi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Jonathan R I Coleman
- King's College London, National Institute for Health and Care Research Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Nikolaos P Daskalakis
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Center of Excellence in Depression and Anxiety Disorders, Belmont, MA, USA
| | - Laramie E Duncan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Renato Polimanti
- VA Connecticut Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Cindy Aaronson
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Ananda B Amstadter
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - Soren B Andersen
- The Danish Veteran Centre, Research and Knowledge Centre, Ringsted, Denmark
| | - Ole A Andreassen
- Oslo University Hospital, Division of Mental Health and Addiction, Oslo, Norway
- University of Oslo, Institute of Clinical Medicine, Oslo, Norway
| | - Paul A Arbisi
- Minneapolis VA Health Care System, Mental Health Service Line, Minneapolis, MN, USA
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | | | - S Bryn Austin
- Boston Children's Hospital, Division of Adolescent and Young Adult Medicine, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Esmina Avdibegoviç
- Department of Psychiatry, University Clinical Center of Tuzla, Tuzla, Bosnia and Herzegovina
| | - Dragan Babić
- Department of Psychiatry, University Clinical Center of Mostar, Mostar, Bosnia and Herzegovina
| | - Silviu-Alin Bacanu
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Dewleen G Baker
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Psychiatry Service, San Diego, CA, USA
| | - Anthony Batzler
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Jean C Beckham
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Research, Durham VA Health Care System, Durham, NC, USA
- VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center (MIRECC), Genetics Research Laboratory, Durham, NC, USA
| | - Sintia Belangero
- Department of Morphology and Genetics, Universidade Federal de São Paulo, São Paulo, Brazil
- Department of Psychiatry, Universidade Federal de São Paulo, Laboratory of Integrative Neuroscience, São Paulo, Brazil
| | - Corina Benjet
- Instituto Nacional de Psiquiatraía Ramón de la Fuente Muñiz, Center for Global Mental Health, Mexico City, Mexico
| | - Carisa Bergner
- Medical College of Wisconsin, Comprehensive Injury Center, Milwaukee, WI, USA
| | - Linda M Bierer
- Department of Psychiatry, James J. Peters VA Medical Center, Bronx, NY, USA
| | - Joanna M Biernacka
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Jonathan I Bisson
- Cardiff University, National Centre for Mental Health, MRC Centre for Psychiatric Genetics and Genomics, Cardiff, UK
| | - Marco P Boks
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht, The Netherlands
| | - Elizabeth A Bolger
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Amber Brandolino
- Department of Surgery, Division of Trauma & Acute Care Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Gerome Breen
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- King's College London, NIHR Maudsley BRC, London, UK
| | - Rodrigo Affonseca Bressan
- Department of Psychiatry, Universidade Federal de São Paulo, Laboratory of Integrative Neuroscience, São Paulo, Brazil
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Richard A Bryant
- University of New South Wales, School of Psychology, Sydney, New South Wales, Australia
| | - Angela C Bustamante
- Department of Internal Medicine, University of Michigan Medical School, Division of Pulmonary and Critical Care Medicine, Ann Arbor, MI, USA
| | - Jonas Bybjerg-Grauholm
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Marie Bækvad-Hansen
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Aarhus University, Centre for Integrative Sequencing, iSEQ, Aarhus, Denmark
- Department of Biomedicine-Human Genetics, Aarhus University, Aarhus, Denmark
| | - Sigrid Børte
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, K. G. Jebsen Center for Genetic Epidemiology, Trondheim, Norway
- Oslo University Hospital, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo, Norway
| | - Leah Cahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Joseph R Calabrese
- Case Western Reserve University, School of Medicine, Cleveland, OH, USA
- Department of Psychiatry, University Hospitals, Cleveland, OH, USA
| | | | - Chris Chatzinakos
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Division of Depression and Anxiety Disorders, Belmont, MA, USA
| | - Sheraz Cheema
- University of Toronto, CanPath National Coordinating Center, Toronto, Ontario, Canada
| | - Sean A P Clouston
- Stony Brook University, Family, Population, and Preventive Medicine, Stony Brook, NY, USA
- Stony Brook University, Public Health, Stony Brook, NY, USA
| | - Lucía Colodro-Conde
- QIMR Berghofer Medical Research Institute, Mental Health & Neuroscience Program, Brisbane, Queensland, Australia
| | - Brandon J Coombes
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Carlos S Cruz-Fuentes
- Department of Genetics, Instituto Nacional de Psiquiatraía Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Anders M Dale
- Department of Radiology, Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Shareefa Dalvie
- Department of Pathology, University of Cape Town, Division of Human Genetics, Cape Town, South Africa
| | - Lea K Davis
- Vanderbilt University Medical Center, Vanderbilt Genetics Institute, Nashville, TN, USA
| | - Jürgen Deckert
- University Hospital of Würzburg, Center of Mental Health, Psychiatry, Psychosomatics and Psychotherapy, Würzburg, Denmark
| | | | - Michelle F Dennis
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Research, Durham VA Health Care System, Durham, NC, USA
- VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center (MIRECC), Genetics Research Laboratory, Durham, NC, USA
| | - Frank Desarnaud
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Christopher P DiPietro
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- McLean Hospital, Division of Depression and Anxiety Disorders, Belmont, MA, USA
| | - Seth G Disner
- Minneapolis VA Health Care System, Research Service Line, Minneapolis, MN, USA
- Department of Psychiatry & Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Anna R Docherty
- Huntsman Mental Health Institute, Salt Lake City, UT, USA
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Katharina Domschke
- University of Freiburg, Faculty of Medicine, Centre for Basics in Neuromodulation, Freiburg, Denmark
- Department of Psychiatry and Psychotherapy, University of Freiburg, Faculty of Medicine, Freiburg, Denmark
| | - Grete Dyb
- University of Oslo, Institute of Clinical Medicine, Oslo, Norway
- Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway
| | - Alma Džubur Kulenović
- Department of Psychiatry, University Clinical Center of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Howard J Edenberg
- Indiana University School of Medicine, Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Medical and Molecular Genetics, Indianapolis, IN, USA
| | - Alexandra Evans
- Cardiff University, National Centre for Mental Health, MRC Centre for Psychiatric Genetics and Genomics, Cardiff, UK
| | - Chiara Fabbri
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Adriana Feder
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Norah C Feeny
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Janine D Flory
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - David Forbes
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Sandro Galea
- Boston University School of Public Health, Boston, MA, USA
| | - Melanie E Garrett
- Duke University, Duke Molecular Physiology Institute, Durham, NC, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Gelernter
- VA Connecticut Healthcare Center, Psychiatry Service, West Haven, CT, USA
- Department of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Elbert Geuze
- Netherlands Ministry of Defence, Brain Research and Innovation Centre, Utrecht, The Netherlands
- Department of Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Charles F Gillespie
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Slavina B Goleva
- Vanderbilt University Medical Center, Vanderbilt Genetics Institute, Nashville, TN, USA
- National Institutes of Health, National Human Genome Research Institute, Bethesda, MD, USA
| | - Scott D Gordon
- QIMR Berghofer Medical Research Institute, Mental Health & Neuroscience Program, Brisbane, Queensland, Australia
| | - Aferdita Goçi
- Department of Psychiatry, University Clinical Centre of Kosovo, Prishtina, Kosovo
| | - Lana Ruvolo Grasser
- Wayne State University School of Medicine, Psychiatry and Behavioral Neurosciencess, Detroit, MI, USA
| | - Camila Guindalini
- Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, Queensland, Australia
| | - Magali Haas
- Cohen Veterans Bioscience, New York City, NY, USA
| | - Saskia Hagenaars
- King's College London, National Institute for Health and Care Research Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Michael A Hauser
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Andrew C Heath
- Department of Genetics, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Sian M J Hemmings
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- SAMRC Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
| | - Victor Hesselbrock
- University of Connecticut School of Medicine, Psychiatry, Farmington, CT, USA
| | - Ian B Hickie
- University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia
| | - Kelleigh Hogan
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA
| | - David Michael Hougaard
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Hailiang Huang
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital, Analytic and Translational Genetics Unit, Boston, MA, USA
| | - Laura M Huckins
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Kristian Hveem
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, K. G. Jebsen Center for Genetic Epidemiology, Trondheim, Norway
| | - Miro Jakovljević
- Department of Psychiatry, University Hospital Center of Zagreb, Zagreb, Croatia
| | - Arash Javanbakht
- Wayne State University School of Medicine, Psychiatry and Behavioral Neurosciencess, Detroit, MI, USA
| | - Gregory D Jenkins
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Jessica Johnson
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Ian Jones
- Cardiff University, National Centre for Mental Health, Cardiff University Centre for Psychiatric Genetics and Genomics, Cardiff, UK
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Karen-Inge Karstoft
- The Danish Veteran Centre, Research and Knowledge Centre, Ringsted, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Milissa L Kaufman
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - James L Kennedy
- Centre for Addiction and Mental Health, Neurogenetics Section, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Tanenbaum Centre for Pharmacogenetics, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Alaptagin Khan
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Nathan A Kimbrel
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center (MIRECC), Genetics Research Laboratory, Durham, NC, USA
- Durham VA Health Care System, Mental Health Service Line, Durham, NC, USA
| | - Anthony P King
- The Ohio State University, College of Medicine, Institute for Behavioral Medicine Research, Columbus, OH, USA
| | - Nastassja Koen
- University of Cape Town, Department of Psychiatry & Neuroscience Institute, SA MRC Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Henry R Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kristi Krebs
- University of Tartu, Institute of Genomics, Estonian Genome Center, Tartu, Estonia
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Pei-Fen Kuan
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
| | - Bruce R Lawford
- Queensland University of Technology, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
| | - Lauren A M Lebois
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Center of Excellence in Depression and Anxiety Disorders, Belmont, MA, USA
| | - Kelli Lehto
- University of Tartu, Institute of Genomics, Estonian Genome Center, Tartu, Estonia
| | - Daniel F Levey
- VA Connecticut Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Catrin Lewis
- Cardiff University, National Centre for Mental Health, MRC Centre for Psychiatric Genetics and Genomics, Cardiff, UK
| | - Israel Liberzon
- Department of Psychiatry and Behavioral Sciences, Texas A&M University College of Medicine, Bryan, TX, USA
| | - Sarah D Linnstaedt
- Department of Anesthesiology, UNC Institute for Trauma Recovery, Chapel Hill, NC, USA
| | - Mark W Logue
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University School of Medicine, Psychiatry, Biomedical Genetics, Boston, MA, USA
- VA Boston Healthcare System, National Center for PTSD, Boston, MA, USA
| | - Adriana Lori
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Yi Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Benjamin J Luft
- Department of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Michelle K Lupton
- QIMR Berghofer Medical Research Institute, Mental Health & Neuroscience Program, Brisbane, Queensland, Australia
| | - Jurjen J Luykx
- Department of Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Iouri Makotkine
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | | | - Shelby Marchese
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles Marmar
- New York University, Grossman School of Medicine, New York City, NY, USA
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Genetics, Brisbane, Queensland, Australia
| | - Gabriela A Martínez-Levy
- Department of Genetics, Instituto Nacional de Psiquiatraía Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Kerrie McAloney
- QIMR Berghofer Medical Research Institute, Mental Health & Neuroscience Program, Brisbane, Queensland, Australia
| | - Alexander McFarlane
- University of Adelaide, Discipline of Psychiatry, Adelaide, South Australia, Australia
| | | | - Samuel A McLean
- Department of Anesthesiology, UNC Institute for Trauma Recovery, Chapel Hill, NC, USA
- Department of Emergency Medicine, UNC Institute for Trauma Recovery, Chapel Hill, NC, USA
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Mental Health & Neuroscience Program, Brisbane, Queensland, Australia
| | - Divya Mehta
- Queensland University of Technology, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
- Queensland University of Technology, Centre for Genomics and Personalised Health, Kelvin Grove, Queensland, Australia
| | - Jacquelyn Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Vasiliki Michopoulos
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Elizabeth A Mikita
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA
| | - Lili Milani
- University of Tartu, Institute of Genomics, Estonian Genome Center, Tartu, Estonia
| | | | - Mark W Miller
- Boston University School of Medicine, Psychiatry, Biomedical Genetics, Boston, MA, USA
- VA Boston Healthcare System, National Center for PTSD, Boston, MA, USA
| | - Rajendra A Morey
- Duke University School of Medicine, Duke Brain Imaging and Analysis Center, Durham, NC, USA
| | - Charles Phillip Morris
- Queensland University of Technology, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Aarhus University Hospital-Psychiatry, Psychosis Research Unit, Aarhus, Denmark
| | - Preben Bo Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Aarhus University, Centre for Integrative Sequencing, iSEQ, Aarhus, Denmark
- Aarhus University, Centre for Integrated Register-Based Research, Aarhus, Denmark
- Aarhus University, National Centre for Register-Based Research, Aarhus, Denmark
| | - Mary S Mufford
- Department of Pathology, University of Cape Town, Division of Human Genetics, Cape Town, South Africa
| | - Elliot C Nelson
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- University of Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Sonya B Norman
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- National Center for Post Traumatic Stress Disorder, Executive Division, White River Junction, VT, USA
| | - Nicole R Nugent
- Department of Emergency Medicine, Alpert Brown Medical School, Providence, RI, USA
- Department of Pediatrics, Alpert Brown Medical School, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Brown Medical School, Providence, RI, USA
| | - Meaghan O'Donnell
- Department of Psychiatry, University of Melbourne, Phoenix Australia, Melbourne, Victoria, Australia
| | - Holly K Orcutt
- Department of Psychology, Northern Illinois University, DeKalb, IL, USA
| | - Pedro M Pan
- Universidade Federal de São Paulo, Psychiatry, São Paulo, Brazil
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Gita A Pathak
- VA Connecticut Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Edward S Peters
- University of Nebraska Medical Center, College of Public Health, Omaha, NE, USA
| | - Alan L Peterson
- South Texas Veterans Health Care System, Research and Development Service, San Antonio, TX, USA
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Matthew Peverill
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, West Haven, CT, USA
| | - Melissa A Polusny
- Minneapolis VA Health Care System, Mental Health Service Line, Minneapolis, MN, USA
- Department of Psychiatry & Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
- Center for Care Delivery and Outcomes Research (CCDOR), Minneapolis, MN, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Abigail Powers
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Xue-Jun Qin
- Duke University, Duke Molecular Physiology Institute, Durham, NC, USA
| | - Andrew Ratanatharathorn
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Columbia University Mailmain School of Public Health, New York City, NY, USA
| | - Victoria B Risbrough
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA
| | - Andrea L Roberts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alex O Rothbaum
- Department of Psychological Sciences, Emory University, Atlanta, GA, USA
- Department of Research and Outcomes, Skyland Trail, Atlanta, GA, USA
| | - Barbara O Rothbaum
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Peter Roy-Byrne
- Department of Psychiatry, University of Washington, Seattle, WA, USA
| | - Kenneth J Ruggiero
- Department of Nursing, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
| | - Ariane Rung
- Department of Epidemiology, Louisiana State University Health Sciences Center, School of Public Health, New Orleans, LA, USA
| | - Heiko Runz
- Biogen Inc., Research & Development, Cambridge, MA, USA
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, Maastricht Universitair Medisch Centrum, School for Mental Health and Neuroscience, Maastricht, The Netherlands
| | | | - Giovanni Abrahão Salum
- Child Mind Institute, New York City, NY, USA
- Instituto Nacional de Psiquiatria de Desenvolvimento, São Paulo, Brazil
| | - Laura Sampson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Sixto E Sanchez
- Department of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
| | - Marcos Santoro
- Universidade Federal de São Paulo, Departamento de Bioquímica-Disciplina de Biologia Molecular, São Paulo, Brazil
| | - Carina Seah
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Soraya Seedat
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Stellenbosch University, SAMRC Extramural Genomics of Brain Disorders Research Unit, Cape Town, South Africa
| | - Julia S Seng
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA
- Department of Women's and Gender Studies, University of Michigan, Ann Arbor, MI, USA
- University of Michigan, Institute for Research on Women and Gender, Ann Arbor, MI, USA
- University of Michigan, School of Nursing, Ann Arbor, MI, USA
| | - Andrey Shabalin
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Christina M Sheerin
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - Derrick Silove
- Department of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Alicia K Smith
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
- Department of Gynecology and Obstetrics, Department of Psychiatry and Behavioral Sciences, Department of Human Genetics, Emory University, Atlanta, GA, USA
| | - Jordan W Smoller
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Massachusetts General Hospital, Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Boston, MA, USA
| | - Scott R Sponheim
- Minneapolis VA Health Care System, Mental Health Service Line, Minneapolis, MN, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Dan J Stein
- University of Cape Town, Department of Psychiatry & Neuroscience Institute, SA MRC Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa
| | - Synne Stensland
- Oslo University Hospital, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo, Norway
- Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Jennifer A Sumner
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Martin H Teicher
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Developmental Biopsychiatry Research Program, Belmont, MA, USA
| | - Wesley K Thompson
- Mental Health Centre Sct. Hans, Institute of Biological Psychiatry, Roskilde, Denmark
- University of California San Diego, Herbert Wertheim School of Public Health and Human Longevity Science, La Jolla, CA, USA
| | - Arun K Tiwari
- Centre for Addiction and Mental Health, Neurogenetics Section, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Tanenbaum Centre for Pharmacogenetics, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Edward Trapido
- Department of Epidemiology, Louisiana State University Health Sciences Center, School of Public Health, New Orleans, LA, USA
| | - Monica Uddin
- University of South Florida College of Public Health, Genomics Program, Tampa, FL, USA
| | - Robert J Ursano
- Department of Psychiatry, Uniformed Services University, Bethesda, MD, USA
| | - Unnur Valdimarsdóttir
- Karolinska Institutet, Unit of Integrative Epidemiology, Institute of Environmental Medicine, Stockholm, Sweden
- University of Iceland, Faculty of Medicine, Center of Public Health Sciences, School of Health Sciences, Reykjavik, Iceland
| | - Miranda Van Hooff
- University of Adelaide, Adelaide Medical School, Adelaide, South Australia, Australia
| | - Eric Vermetten
- ARQ Nationaal Psychotrauma Centrum, Psychotrauma Research Expert Group, Diemen, The Netherlands
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Department of Psychiatry, New York University School of Medicine, New York City, NY, USA
| | - Christiaan H Vinkers
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Joanne Voisey
- Queensland University of Technology, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
- Queensland University of Technology, Centre for Genomics and Personalised Health, Kelvin Grove, Queensland, Australia
| | - Yunpeng Wang
- Department of Psychology, University of Oslo, Lifespan Changes in Brain and Cognition (LCBC), Oslo, Norway
| | - Zhewu Wang
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
- Department of Mental Health, Ralph H Johnson VA Medical Center, Charleston, SC, USA
| | - Monika Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA
| | - Heike Weber
- University Hospital of Würzburg, Center of Mental Health, Psychiatry, Psychosomatics and Psychotherapy, Würzburg, Denmark
| | - Frank R Wendt
- Department of Anthropology, University of Toronto, Dalla Lana School of Public Health, Toronto, Ontario, Canada
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Copenhagen University Hospital, Institute of Biological Psychiatry, Mental Health Services, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- University of Copenhagen, The Globe Institute, Lundbeck Foundation Center for Geogenetics, Copenhagen, Denmark
| | - Michelle A Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Douglas E Williamson
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Research, Durham VA Health Care System, Durham, NC, USA
| | - Bendik S Winsvold
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, K. G. Jebsen Center for Genetic Epidemiology, Trondheim, Norway
- Oslo University Hospital, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Sherry Winternitz
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Christiane Wolf
- University Hospital of Würzburg, Center of Mental Health, Psychiatry, Psychosomatics and Psychotherapy, Würzburg, Denmark
| | - Erika J Wolf
- VA Boston Healthcare System, National Center for PTSD, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Yan Xia
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital, Analytic and Translational Genetics Unit, Boston, MA, USA
| | - Ying Xiong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Rachel Yehuda
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
- Department of Mental Health, James J. Peters VA Medical Center, Bronx, NY, USA
| | - Keith A Young
- Central Texas Veterans Health Care System, Research Service, Temple, TX, USA
- Department of Psychiatry and Behavioral Sciences, Texas A&M University School of Medicine, Bryan, TX, USA
| | - Ross McD Young
- Queensland University of Technology, School of Clinical Sciences, Kelvin Grove, Queensland, Australia
- University of the Sunshine Coast, The Chancellory, Sippy Downs, Queensland, Australia
| | - Clement C Zai
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Centre for Addiction and Mental Health, Neurogenetics Section, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Tanenbaum Centre for Pharmacogenetics, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathology, University of Toronto, Toronto, Ontario, Canada
| | - Gwyneth C Zai
- Centre for Addiction and Mental Health, Neurogenetics Section, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Tanenbaum Centre for Pharmacogenetics, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, General Adult Psychiatry and Health Systems Division, Toronto, Ontario, Canada
| | - Mark Zervas
- Cohen Veterans Bioscience, New York City, NY, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale University, New Haven, CT, USA
| | - Lori A Zoellner
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - John-Anker Zwart
- University of Oslo, Institute of Clinical Medicine, Oslo, Norway
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, K. G. Jebsen Center for Genetic Epidemiology, Trondheim, Norway
- Oslo University Hospital, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo, Norway
| | - Terri deRoon-Cassini
- Department of Surgery, Division of Trauma & Acute Care Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Leigh L van den Heuvel
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- SAMRC Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Psychiatry Service, San Diego, CA, USA
- University of California San Diego, School of Public Health, La Jolla, CA, USA
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Massachusetts General Hospital, Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Boston, MA, USA
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3
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Künzel RG, Elgazzar M, Bain PA, Kirschbaum C, Papatheodorou S, Gelaye B. The association between maternal prenatal hair cortisol concentration and preterm birth: A systematic review and meta-analysis. Psychoneuroendocrinology 2024; 165:107041. [PMID: 38581747 DOI: 10.1016/j.psyneuen.2024.107041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 03/30/2024] [Accepted: 03/31/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND The risk of preterm birth (PTB) increases when experiencing stress during pregnancy. Chronic stress has been associated with a dysregulation of the hypothalamic-pituitary-adrenal axis, for which hair cortisol concentration (HCC) is a promising biomarker. However, previous studies on the association between HCC and PTB yielded inconsistent results. This systematic review and meta-analysis synthesized previous studies on the association between maternal HCC before and during pregnancy and spontaneous PTB. METHODS Data was extracted from N = 11 studies with k = 19 effect sizes retrieved from PubMed, Embase, Web of Science, CINAHL and citation searching by hand in June 2023 and updated in October 2023. Standardized mean differences were calculated, and a random-effects three-level meta-analysis was conducted. Effect heterogeneity was assessed using Q and I2. RESULTS HCC during pregnancy was higher among PTB than term groups, but effects were not statistically significant (z = 0.11, 95% CI: - 0.28, 0.51, p = .54) and total heterogeneity was high (Q16 = 60.01, p < .001, I2Total = 92.30%). After leaving out two possible outlier studies in sensitivity analyses, HCC was lower among preterm compared to term delivering groups, although not statistically significant (z = - 0.06, 95% CI: - 0.20, 0.08, p = .39) but with a substantially reduced total heterogeneity (Q12 = 16.45, p = .17, I2Total = 42.15%). No moderators affected the estimates significantly, but an effect of trimester and gestational age at delivery is likely. CONCLUSION There is currently no evidence of prenatal HCC differences between PTB and term groups as effects were small, imprecise, and not significant. Low statistical power and methodological weaknesses of the small-scale studies challenge possible biological inferences from the small effects, but further research on HCC during pregnancy is highly encouraged.
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Affiliation(s)
- Richard G Künzel
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA; Katholische Universität Eichstätt-Ingolstadt, Ostenstr. 28a, Eichstätt 85072, Germany.
| | | | - Paul A Bain
- Countway Library, Harvard Medical School, 10 Shattuck St, Boston, MA 02115, USA
| | - Clemens Kirschbaum
- Technische Universität Dresden, Zellescher Weg 19, Dresden 01062, Germany
| | - Stefania Papatheodorou
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA; The Chester M. Pierce M.D. Division of Global Psychiatry, Department of Psychiatry, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114, USA
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4
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Levey EJ, Rodriguez AEM, Chang AR, Rondon MB, Sanchez MLJ, Harrison AM, Gelaye B, Becker AE. A qualitative analysis of adolescent motherhood within the broader family context in Peru. Fam Relat 2024; 73:1046-1066. [PMID: 38523658 PMCID: PMC10957107 DOI: 10.1111/fare.12904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 04/24/2023] [Indexed: 03/26/2024]
Abstract
Objective The purpose of this study was to characterize the impact of adolescent pregnancy on families and describe the needs of adolescent mothers and their infants in order to assess the need for intervention and identify potential intervention targets. Background Adolescent mothers and their offspring face an increased risk of mental health problems. Adolescent mothers and their families also face significant resource constraints; 95% live in low- and middle-income countries (LMICs). Cost-effective interventions are needed to improve outcomes for this vulnerable group. Method This qualitative study conducted in Lima, Peru, consisted of four clinician focus groups and 18 in-depth interviews with adolescent mothers and their family members. Data were coded thematically, and direct content analysis was employed. Results The study identified the following issues facing adolescent parents: the transition to parenthood, the need for family support, difficulty accessing support, the difficulty for family members of providing support, and ideas about responsibility and adolescent autonomy. Conclusion Overall, these findings demonstrate the need for interventions that engage families and address barriers to accessing support, including relationship conflict and differing beliefs about responsibility and autonomy. Implications Interventions are needed for adolescent mothers in LMICs that mobilize family support. Clinicians who care for these patients need to be aware of the family context and the resources available where they practice.
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Affiliation(s)
- Elizabeth J. Levey
- The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | | | - Andrew R. Chang
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | | | | | - Alexandra M. Harrison
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Department of Psychiatry, Cambridge Health Alliance, Cambridge, MA
| | - Bizu Gelaye
- The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Anne E. Becker
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA
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5
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Smith ML, Gelaye B, Tsai AC, Gradus JL. Mediation of the association between depression and coronary heart disease by metabolic syndrome components. Ann Epidemiol 2024; 92:1-7. [PMID: 38341050 DOI: 10.1016/j.annepidem.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/30/2024] [Accepted: 02/06/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Depression is associated with incident coronary heart disease (CHD) via a pathway that may be causal, but the mechanisms underlying this association are unclear. We assessed the extent to which metabolic syndrome (MetS) and its components (i.e., elevated waist circumference, low high-density lipoprotein [HDL] cholesterol, elevated triglycerides, elevated blood pressure, and elevated fasting plasma glucose) may mediate this association. METHODS Data were Framingham Heart Study Research Materials obtained from the National Heart, Lung, and Blood Institute (NHLBI) Biologic Specimen and Data Repository Information Coordinating Center. We used Cox proportional hazards regression to estimate adjusted hazard ratios (aHR) representing the total effect (aHRTE) of probable depression, measured via the Centers for Epidemiological Studies - Depression scale, on incident CHD over approximately 18 years. Using inverse odds ratio weighting, we decomposed this estimate into natural direct effects (aHRNDE) and natural indirect effects (aHRNIE) through potential mediators (measured approximately three years after depression). RESULTS Probable depression was associated with incident CHD (aHRTE=1.45, 95% confidence interval [CI]: 0.93, 2.25), and elevated waist circumference partially mediated this association (aHRNDE=1.34, 95% CI: 0.76-2.32; aHRNIE=1.08, 95% CI: 0.63-1.91). We did not find evidence of additional mediation by additional MetS components. CONCLUSIONS Elevated waist circumference appears to play a role in the association between depression and CHD.
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Affiliation(s)
- Meghan L Smith
- Boston University School of Public Health, Department of Epidemiology, United States.
| | - Bizu Gelaye
- Harvard TH Chan School of Public Health, Department of Epidemiology, United States; Harvard Medical School, United States
| | - Alexander C Tsai
- Harvard Medical School, United States; Massachusetts General Hospital, Center for Global Health and Mongan Institute, United States
| | - Jaimie L Gradus
- Boston University School of Public Health, Department of Epidemiology, United States; Boston University School of Medicine, Department of Psychiatry, United States
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6
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Abo-Rass F, Nakash O, Gelaye B, Khatib A, AboJabel H. Determinants of intentions to seek formal mental health help among Palestinian adolescents in Israel. Int J Soc Psychiatry 2024:207640231224658. [PMID: 38312061 DOI: 10.1177/00207640231224658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
BACKGROUND Mental health challenges are widespread among adolescents undergoing significant physical, emotional, social, and academic changes. However, rates of formal help-seeking remain low, particularly among those from ethnic minorities. AIMS This study investigated the determinants of intentions to seek formal mental health help among Palestinian adolescents in Israel, focusing on mental health literacy (MHL) and trust in formal sources of information. METHODS A total of 178 adolescents (Mage = 16.24 ± 1.24 years, 61.8% female) completed measures assessing intention for formal help-seeking, psychological distress, MHL, trust in formal sources of information, sociodemographic, and clinical characteristics. RESULTS Findings revealed low levels of intention to seek formal help and psychological distress, alongside average or above-average levels on all MHL dimensions and trust in formal sources for information. Our analysis identified socioeconomic status (β = .17, p < .05), psychological distress (β = .18, p < .05), trust in formal sources of information (β = .28, p < .001), and two MHL dimensions: knowledge of where to seek information (β = .25, p < .01) and attitudes that promote recognition or appropriate help-seeking behavior (β = .16, p < .05) - as the main determinants of intention for formal help-seeking. CONCLUSIONS This study underscores the critical role of trust in formal sources of information and MHL in seeking formal help among adolescents from ethnic minorities. Interventions aiming to improve access to mental health-related information, address and enhance attitudes, and foster trust in formal professionals and institutions may contribute to an increased tendency for formal mental health help-seeking among this population and others.
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Affiliation(s)
- Fareeda Abo-Rass
- Takemi Program in International Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ora Nakash
- School for Social Work, Smith College, Northampton, MA, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Anwar Khatib
- Department of Social Work, Zefat Academic College, Israel
- Department of Community Mental Health, University of Haifa, Israel
| | - Hanan AboJabel
- The Paul Baerwald School of Social Work and Social Welfare, The Hebrew University of Jerusalem, Israel
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Kwagala C, Ametaj A, Kim HH, Kyebuzibwa J, Okura R, Stevenson A, Gelaye B, Akena D. Factor structure of psychosis screening questionnaire in Ugandan adults. BMC Psychiatry 2024; 24:36. [PMID: 38195440 PMCID: PMC10775426 DOI: 10.1186/s12888-023-05485-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 12/28/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Psychotic disorders are common and contribute significantly to morbidity and mortality of people with psychiatric diseases. Therefore, early screening and detection may facilitate early intervention and reduce adverse outcomes. Screening tools that lay persons can administer are particularly beneficial in low resource settings. However, there is limited research evaluating the validity of psychosis screening instruments in Uganda. We aimed to assess the construct validity and psychometric properties of the Psychosis Screening Questionnaire (PSQ) in Uganda in a population with no history of a psychotic disorder. METHODS The sample consisted of 2101 Ugandan adults participating as controls in a larger multi-country case-control study on psychiatric genetics who were recruited between February 2018 and March 2020. Participants were individuals seeking outpatient general medical care, caretakers of individuals seeking care, and staff or students recruited from five medical facilities that were age 18 years or older and able to provide consent. Individuals were excluded who had acute levels of alcohol or substance use, including being under inpatient hospitalization or acute medical care for one of these conditions. We used confirmatory factor analysis (CFA) and item response theory (IRT) to evaluate the factor structure and item properties of the PSQ. RESULTS The overall prevalence screening positive for psychotic symptoms was 13.9% 95% CI (12.4,15.4). "Strange experiences" were the most endorsed symptoms 6.6% 95% CI (5.6,7.8). A unidimensional model seemed to be a good model or well-fitting based on fit indices including the root mean square error of approximation (RMSEA of 0.00), comparative fit index (CFI of 1.000), and Tucker-Lewis Index (TLI of 1.000). The most discriminating items along the latent construct of psychosis were items assessing thought disturbance followed by items assessing paranoia, with a parameter (discrimination) value of 2.53 and 2.40, respectively. CONCLUSION The PSQ works well in Uganda as an initial screening tool for moderate to high-level of psychotic symptoms.
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Affiliation(s)
- Claire Kwagala
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
| | - Amantia Ametaj
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Hannah H Kim
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Joseph Kyebuzibwa
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Rogers Okura
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Anne Stevenson
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Dickens Akena
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
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Korte KJ, Jaguga F, Kim HH, Stroud RE, Stevenson A, Akena D, Atwoli L, Gichuru S, James R, Kwobah E, Kariuki SM, Kyebuzibwa J, Mwema RM, Newton CRJC, Zingela Z, Stein DJ, Alemayehu M, Teferra S, Koenen KC, Gelaye B. Psychometric Properties of the Mini International Neuropsychiatric Interview (MINI) Psychosis Module: A Sub-Saharan Africa Cross Country Comparison - CORRIGENDUM. Psychol Med 2024; 54:436. [PMID: 38197159 DOI: 10.1017/s0033291723003835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Affiliation(s)
- Kristina J Korte
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Florence Jaguga
- Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya
| | - Hannah H Kim
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Rocky E Stroud
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Anne Stevenson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Dickens Akena
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Lukoye Atwoli
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Stella Gichuru
- Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya
| | - Roxanne James
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Edith Kwobah
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Symon M Kariuki
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Joseph Kyebuzibwa
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Rehema M Mwema
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Charles R J C Newton
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Zukiswa Zingela
- Psychiatry and Behavioural Sciences, Walter Sisulu University and Nelson Mandela Academic Hospital, Port Elizabeth, South Africa
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Melkam Alemayehu
- Department of Psychiatry, Addis Ababa University, Addis Ababa, Ethiopia
| | - Solomon Teferra
- Department of Psychiatry, Addis Ababa University, Addis Ababa, Ethiopia
| | - Karestan C Koenen
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Bizu Gelaye
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
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9
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Pintro K, Sanchez SE, Rondon MB, Gelaye B. Fourteen-item perceived stress scale assessment using item response theory among pregnant women. Scand J Psychol 2023. [PMID: 38123342 DOI: 10.1111/sjop.12993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 11/19/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023]
Abstract
The current study aimed to assess the psychometric properties of the Spanish language version of the 14-item Perceived Stress Scale (PSS-S) in a population of pregnant women who speak Spanish in Peru using item response theory (IRT). Our study consisted of 5,435 pregnant women who participated in the Pregnancy Outcomes Maternal and Infant Study (PrOMIS) cohort in Peru. Exploratory and confirmatory factor analyses were conducted to determine dimensionality of the scale in this population, and item response theory was conducted to determine the applicability of the PSS. The PSS consisted of a 2-factor questionnaire measuring perceived stress and coping capacity accounting for 77% of variability. The IRT analysis showed differences in item difficulty and discrimination. Item difficulty represents the level of the latent construct where 50% of respondents endorse a particular response, and item discrimination determines the rate of change of the probability of endorsing an item for differing ability levels. For the first factor, perceived stress, item 12 was the least difficult and item 2 was the most difficult. For the second factor, coping capacity, item 9 was the least difficult and item 6 was the most difficult. The Spanish version of the 14-item PSS can be a useful assessment tool for perceived stress, but more IRT should be done to delve further into the psychometric properties of the questionnaire to inform clinicians and policy makers more appropriately.
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Affiliation(s)
- Kedie Pintro
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Sixto E Sanchez
- Universidad de San Martin de Porres, Facultad de Medicina Humana, Instituto de Investigacion, Lima, Peru
| | | | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- The Chester M. Pierce, M.D. Division of Global Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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Juvinao-Quintero DL, Sanchez SE, Workalemahu T, Pinto N, Liang L, Williams MA, Gelaye B. Genetic association study of Preterm birth and Gestational age in a population-based case-control study in Peru. medRxiv 2023:2023.11.22.23298891. [PMID: 38045296 PMCID: PMC10690348 DOI: 10.1101/2023.11.22.23298891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Preterm birth (PTB) is an adverse pregnancy outcome affecting ∼15 million pregnancies worldwide. Genetic studies have identified several candidate loci for PTB, but results remain inconclusive and limited to European populations. Thus, we conducted a genome-wide association study (GWAS) of PTB and gestational age at delivery (GA) among 2,212 Peruvian women. PTB cases delivered ≥ 20 weeks' but < 37 weeks' gestation, while controls delivered at term (≥ 37 weeks but < 42 weeks). After imputation (TOPMED) and quality control, we assessed the association of ∼6 million SNPs with PTB and GA using multivariable regression models adjusted for maternal age and the first two genetic principal components. In silico functional analysis (FUMA-GWAS) was conducted among top signals detected with an arbitrary P < 1.0×10 -5 in each GWAS. We sought to replicate genetic associations with PTB and GA identified in Europeans, and we developed a genetic risk score for GA based on European markers. Mean GA was 30 ± 4 weeks in PTB cases (N=933) and 39 ± 1 in the controls (N=1,279). PTB cases were slightly older and had higher C-sections and vaginal bleeding than controls. No association was identified at genome-wide level. Top suggestive ( P < 1.0×10 -5 ) signals were seen at rs13151645 ( LINC01182 ) for PTB, and at rs72824565 ( CTNNA2 ) for GA. Top PTB variants were enriched for biological pathways associated with polyketide, progesterone, steroid hormones, and glycosyl metabolism. Top GA variants were enriched in intronic regions and cancer pathways, and these genes were upregulated in the brain and subcutaneous adipose tissue. In combination with non-genetic risk factors, top SNPs explained 14% and 15% of the phenotypic variance of PTB and GA in our sample, but these results need to be interpreted with caution. Variants in WNT4 associated with GA in Europeans were replicated in our study. The genetic risk score based in European markers, was associated with a 2-day longer GA (R 2 =0.003, P =0.002) per standard deviation increase in the score in our sample. This genetic association study identified various signals suggestively associated with PTB and GA in a non- European population; they were linked to relevant biological pathways related to the metabolism of progesterone, prostanoid, and steroid hormones, and genes associated with GA were significantly upregulated in relevant tissues for the pathophysiology of PTB based on the in- silico functional analysis. None of these top variants overlapped with signals previously identified for PTB or GA in Europeans.
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11
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Tareke M, Asrat Yirdaw B, Gebeyehu A, Gelaye B, Azale T. Effectiveness of school-based psychological interventions for the treatment of depression, anxiety and post-traumatic stress disorder among adolescents in sub-Saharan Africa: A systematic review of randomized controlled trials. PLoS One 2023; 18:e0293988. [PMID: 37983255 PMCID: PMC10659195 DOI: 10.1371/journal.pone.0293988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 10/24/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND Mental disorders among adolescents represent a high burden and early onset. They compromise their physical health, survival, and future potential. On the other hand, young people have inadequate access to essential health services in sub-Saharan Africa. We aimed to review school-based psychological interventions, contents, delivery, and evidence of effectiveness designed to treat depression, anxiety, or posttraumatic stress symptoms among adolescents and young adults aged 10-24. METHOD We searched articles on the following databases: PubMed, Scopus, Embase, and Science Direct from 17/10/2022 to 30/12/2022. Furthermore, relevant studies were searched from advanced google scholar, google and identified reference lists. We used MeSH browser for key words: psychological interventions, depression, anxiety, posttraumatic stress disorder and lists of Sub-Saharan Africa countries. We combined words using standard Boolean operators (OR, AND). The quality of studies was evaluated using the Cochrane Collaboration's risk of bias tool and the results were presented as a narrative synthesis since the interventions were very heterogenous. RESULTS Fourteen randomized controlled trials were included for systematic review and more than half (57.14%) were from Kenya and Nigeria. Common school-based psychological interventions were cognitive behavioral therapy and Shamiri interventions (an intervention that focuses on youths to cultivate a growth mindset, practice gratitude and take the value). More than half (57.14%) of the interventions were delivered by non-specialists like teachers, lay providers and community health workers. Nearly one-fifth of the interventions were used individual modality. School-based psychological interventions provided by non-specialists also produced a greater reduction in adolescents' depressive, anxiety, and post-traumatic stress symptoms compared to the control groups. CONCLUSION Cognitive behavioral therapy and Shamiri interventions were the common treatment delivered in school settings. The range of interventions could be effectively delivered by non- professionals that promote task-shifting of psychological interventions from very scarce mental health specialists in these countries. TRIAL REGISTRATION Trial Registration: Prospero CRD42022378372. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022378372.
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Affiliation(s)
- Minale Tareke
- Psychiatry Department, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia
- Department of Psychiatry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Biksegn Asrat Yirdaw
- Department of Psychiatry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- UK Public Health Rapid Support Team, UK Health Security Agency/London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for Global Mental Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Abebaw Gebeyehu
- JSI-Data Use Partnership, Ministry of Health, Addis Ababa, Ethiopia
| | - Bizu Gelaye
- Department of Psychiatry, MD Division of Global Psychiatry, Harvard T. H. Chan School of Public Health, Harvard Medical School and The Chester M. Pierce, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Telake Azale
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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12
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Thungana Y, Zingela Z, van Wyk S, Kim HH, Ametaj A, Stevenson A, Stroud RE, Stein DJ, Gelaye B. Psychosis screening questionnaire: Exploring its factor structure among South African adults. S Afr J Psychiatr 2023; 29:2051. [PMID: 38059200 PMCID: PMC10696556 DOI: 10.4102/sajpsychiatry.v29i0.2051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 10/05/2023] [Indexed: 12/08/2023] Open
Abstract
Background Early detection of psychosis improves treatment outcomes, but there is limited research evaluating the validity of psychosis screening instruments, particularly in low-resourced countries. Aim This study aims to assess the construct validity and psychometric properties of the psychosis screening questionnaire (PSQ) in South Africa. Setting This study was conducted at several health centres in the Western and Eastern Cape provinces in South Africa. Methods The sample consisted of 2591 South African adults participating as controls in a multi-country case-control study of psychiatric genetics. Using confirmatory factor analysis and item response theory, we evaluated the psychometric properties of the PSQ. Results Approximately 11% of the participants endorsed at least one psychotic experience on the PSQ, and almost half of them (49%) occurred within the last 12 months. A unidimensional model demonstrated good fit (root mean square error of approximation [RMSEA] = 0.023, comparative fit index [CFI] = 0.977 and Tucker-Lewis Index [TLI] = 0.954). The mania item had the weakest association with a single latent factor (standardised factor loading = 0.14). Model fit improved after removing the mania item (RMSEA = 0.025, CFI = 0.991 and TLI = 0.972). With item response theory analysis, the PSQ provided more information at higher latent trait levels. Conclusion Consistent with prior literature, the PSQ demonstrated a unidimensional factor structure among South Africans. In our study, the PSQ in screening for psychosis performed better without the mania item, but future criterion validity studies are warranted. Contribution This study highlights that PSQ can be used to screen for early psychosis.
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Affiliation(s)
- Yanga Thungana
- Department of Psychiatry, Faculty of Health, Walter Sisulu University, Mthatha, South Africa
| | - Zukiswa Zingela
- Faculty of Health, Nelson Mandela University, Port Elizabeth, South Africa
| | - Stefan van Wyk
- Department of Psychiatry, Faculty of Health, Walter Sisulu University, Mthatha, South Africa
| | - Hannah H. Kim
- Department of Social and Behavioral Sciences, Faculty of Public Health, Harvard T.H. Chan School of Public Health, Boston, United States of America
| | - Amantia Ametaj
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, United States of America
| | - Anne Stevenson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, United States of America
- Department of Psychiatry, Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States of America
- Department of Psychiatry, Faculty of Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Rocky E. Stroud
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, United States of America
- Department of Psychiatry, Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States of America
| | - Dan J. Stein
- Department of Psychiatry and Mental Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, United States of America
- Department of Psychiatry, Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States of America
- Division of Global Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, United States of America
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13
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Korte KJ, Jaguga F, Kim HH, Stroud RE, Stevenson A, Akena D, Atwoli L, Gichuru S, James R, Kwobah E, Kariuki SM, Kyebuzibwa J, Mwema RM, Newton CRJC, Zingela Z, Stein DJ, Alemayehu M, Teferra S, Koenen KC, Gelaye B. Psychometric properties of the mini international neuropsychiatric interview (MINI) psychosis module: a Sub-Saharan Africa cross country comparison. Psychol Med 2023; 53:7042-7052. [PMID: 36896802 PMCID: PMC10492890 DOI: 10.1017/s0033291723000296] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
BACKGROUND The Mini International Neuropsychiatric Inventory 7.0.2 (MINI-7) is a widely used tool and known to have sound psychometric properties; but very little is known about its use in low and middle-income countries (LMICs). This study aimed to examine the psychometric properties of the MINI-7 psychosis items in a sample of 8609 participants across four countries in Sub-Saharan Africa. METHODS We examined the latent factor structure and the item difficulty of the MINI-7 psychosis items in the full sample and across four countries. RESULTS Multiple group confirmatory factor analyses (CFAs) revealed an adequate fitting unidimensional model for the full sample; however, single group CFAs at the country level revealed that the underlying latent structure of psychosis was not invariant. Specifically, although the unidimensional structure was an adequate model fit for Ethiopia, Kenya, and South Africa, it was a poor fit for Uganda. Instead, a 2-factor latent structure of the MINI-7 psychosis items provided the optimal fit for Uganda. Examination of item difficulties revealed that MINI-7 item K7, measuring visual hallucinations, had the lowest difficulty across the four countries. In contrast, the items with the highest difficulty were different across the four countries, suggesting that MINI-7 items that are the most predictive of being high on the latent factor of psychosis are different for each country. CONCLUSIONS The present study is the first to provide evidence that the factor structure and item functioning of the MINI-7 psychosis vary across different settings and populations in Africa.
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Affiliation(s)
- Kristina J Korte
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Florence Jaguga
- Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya
| | - Hannah H Kim
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Rocky E Stroud
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Anne Stevenson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Dickens Akena
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Lukoye Atwoli
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Stella Gichuru
- Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya
| | - Roxanne James
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Edith Kwobah
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Symon M Kariuki
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Joseph Kyebuzibwa
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Rehema M Mwema
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Charles R J C Newton
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Zukiswa Zingela
- Psychiatry and Behavioural Sciences, Walter Sisulu University and Nelson Mandela Academic Hospital, Port Elizabeth, South Africa
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Melkam Alemayehu
- Department of Psychiatry, Addis Ababa University, Addis Ababa, Ethiopia
| | - Solomon Teferra
- Department of Psychiatry, Addis Ababa University, Addis Ababa, Ethiopia
| | - Karestan C Koenen
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Bizu Gelaye
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
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Huang C, Gin C, Fettweis J, Foxman B, Gelaye B, MacIntyre DA, Subramaniam A, Fraser W, Tabatabaei N, Callahan B. Meta-analysis reveals the vaginal microbiome is a better predictor of earlier than later preterm birth. BMC Biol 2023; 21:199. [PMID: 37743497 PMCID: PMC10518966 DOI: 10.1186/s12915-023-01702-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 09/12/2023] [Indexed: 09/26/2023] Open
Abstract
BACKGROUND High-throughput sequencing measurements of the vaginal microbiome have yielded intriguing potential relationships between the vaginal microbiome and preterm birth (PTB; live birth prior to 37 weeks of gestation). However, results across studies have been inconsistent. RESULTS Here, we perform an integrated analysis of previously published datasets from 12 cohorts of pregnant women whose vaginal microbiomes were measured by 16S rRNA gene sequencing. Of 2039 women included in our analysis, 586 went on to deliver prematurely. Substantial variation between these datasets existed in their definition of preterm birth, characteristics of the study populations, and sequencing methodology. Nevertheless, a small group of taxa comprised a vast majority of the measured microbiome in all cohorts. We trained machine learning (ML) models to predict PTB from the composition of the vaginal microbiome, finding low to modest predictive accuracy (0.28-0.79). Predictive accuracy was typically lower when ML models trained in one dataset predicted PTB in another dataset. Earlier preterm birth (< 32 weeks, < 34 weeks) was more predictable from the vaginal microbiome than late preterm birth (34-37 weeks), both within and across datasets. Integrated differential abundance analysis revealed a highly significant negative association between L. crispatus and PTB that was consistent across almost all studies. The presence of the majority (18 out of 25) of genera was associated with a higher risk of PTB, with L. iners, Prevotella, and Gardnerella showing particularly consistent and significant associations. Some example discrepancies between studies could be attributed to specific methodological differences but not most study-to-study variations in the relationship between the vaginal microbiome and preterm birth. CONCLUSIONS We believe future studies of the vaginal microbiome and PTB will benefit from a focus on earlier preterm births and improved reporting of specific patient metadata shown to influence the vaginal microbiome and/or birth outcomes.
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Affiliation(s)
- Caizhi Huang
- Bioinformatics Research Center, North Carolina State University, Raleigh, 27606, USA
| | - Craig Gin
- Department of Population Health and Pathobiology, North Carolina State University, Raleigh, 27607, USA
| | - Jennifer Fettweis
- Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, 23284, USA
| | - Betsy Foxman
- Thomas Francis School of Public Health, University of Michigan, Raleigh, 27606, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, 02115, USA
| | - David A MacIntyre
- March of Dimes Prematurity Research Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, SW7 2AZ, USA
| | - Akila Subramaniam
- Obstetrics & Gynecology and Maternal-Fetal Medicine, University of Alabama at Birmingham, Birmingham, 35294, USA
| | - William Fraser
- Departments of Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke, J1K 2R1, USA
| | - Negar Tabatabaei
- Departments of Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke, J1K 2R1, USA
- Department of Pharmacology and Regenerative Medicine, University of Illinois College of Medicine, Chicago, 60612, USA
| | - Benjamin Callahan
- Bioinformatics Research Center, North Carolina State University, Raleigh, 27606, USA.
- Department of Population Health and Pathobiology, North Carolina State University, Raleigh, 27607, USA.
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Juvinao-Quintero DL, Künzel RG, Larabure-Torrealva G, Duncan L, Kirschbaum C, Sanchez SE, Gelaye B. Correlates of preconception and pregnancy hair cortisol concentrations. Res Sq 2023:rs.3.rs-3349003. [PMID: 37790441 PMCID: PMC10543434 DOI: 10.21203/rs.3.rs-3349003/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Assessing factors that influence chronic stress biomarkers like hair cortisol concentrations (HCCs) in pregnancy is critical to prevent adverse pregnancy outcomes. Thus, we aimed to identify correlates of HCC preconception and during pregnancy. 2,581 pregnant women participated in the study. HCC was available at four time periods: pre-pregnancy (0-3 months preconception, n = 1,023), and in the first (1-12 weeks, n = 1,734), second (13-24 weeks, n = 1,534), and third (25-36 weeks, n = 835) trimesters. HCC was assessed using liquid chromatography tandem mass spectrometry (LC-MS/MS). Sociodemographic, pregnancy- and hair-related characteristics, and measures of psychosocial stress, were interrogated as potential correlates of HCC. Spearman correlations, paired t-tests, and ANOVA were used to assess differences in log-transformed values of HCC (logHCC) across maternal characteristics. Multivariable linear regressions were used to identify the correlates of HCCs after adjusting for confounders. Mean logHCC values increased across the four prenatal periods (P < 0.001). In multivariable analyses, pre-pregnancy BMI was consistently associated with all HCCs, while gestational age, economic hardship, hair dyeing, and depression, showed time-specific associations with HCC. In conclusion, this study showed evidence of factors influencing HCC levels before and during pregnancy. The most consistent association was seen with pre-pregnancy BMI. Depression was also associated with HCC concentrations.
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Affiliation(s)
| | - Richard G Künzel
- Department of Epidemiology, Harvard T.H. Chan School of Public Health
| | | | - Laramie Duncan
- Department of Psychiatry and Behavioral Sciences, Stanford University
| | | | - Sixto E Sanchez
- Universidad de San Martin de Porres, Facultad de Medicina Humana, Instituto de Investigacion
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health
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Nievergelt CM, Maihofer AX, Atkinson EG, Chen CY, Choi KW, Coleman JR, Daskalakis NP, Duncan LE, Polimanti R, Aaronson C, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegoviç E, Babic D, Bacanu SA, Baker DG, Batzler A, Beckham JC, Belangero S, Benjet C, Bergner C, Bierer LM, Biernacka JM, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Brandolino A, Breen G, Bressan RA, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Bækvad-Hansen M, Børglum AD, Børte S, Cahn L, Calabrese JR, Caldas-de-Almeida JM, Chatzinakos C, Cheema S, Clouston SAP, Colodro-Conde L, Coombes BJ, Cruz-Fuentes CS, Dale AM, Dalvie S, Davis LK, Deckert J, Delahanty DL, Dennis MF, deRoon-Cassini T, Desarnaud F, DiPietro CP, Disner SG, Docherty AR, Domschke K, Dyb G, Kulenovic AD, Edenberg HJ, Evans A, Fabbri C, Fani N, Farrer LA, Feder A, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gelaye B, Gelernter J, Geuze E, Gillespie CF, Goci A, Goleva SB, Gordon SD, Grasser LR, Guindalini C, Haas M, Hagenaars S, Hauser MA, Heath AC, Hemmings SM, Hesselbrock V, Hickie IB, Hogan K, Hougaard DM, Huang H, Huckins LM, Hveem K, Jakovljevic M, Javanbakht A, Jenkins GD, Johnson J, Jones I, Jovanovic T, Karstoft KI, Kaufman ML, Kennedy JL, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kotov R, Kranzler HR, Krebs K, Kremen WS, Kuan PF, Lawford BR, Lebois LAM, Lehto K, Levey DF, Lewis C, Liberzon I, Linnstaedt SD, Logue MW, Lori A, Lu Y, Luft BJ, Lupton MK, Luykx JJ, Makotkine I, Maples-Keller JL, Marchese S, Marmar C, Martin NG, MartÍnez-Levy GA, McAloney K, McFarlane A, McLaughlin KA, McLean SA, Medland SE, Mehta D, Meyers J, Michopoulos V, Mikita EA, Milani L, Milberg W, Miller MW, Morey RA, Morris CP, Mors O, Mortensen PB, Mufford MS, Nelson EC, Nordentoft M, Norman SB, Nugent NR, O'Donnell M, Orcutt HK, Pan PM, Panizzon MS, Pathak GA, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Porjesz B, Powers A, Qin XJ, Ratanatharathorn A, Risbrough VB, Roberts AL, Rothbaum BO, Rothbaum AO, Roy-Byrne P, Ruggiero KJ, Rung A, Runz H, Rutten BPF, de Viteri SS, Salum GA, Sampson L, Sanchez SE, Santoro M, Seah C, Seedat S, Seng JS, Shabalin A, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stensland S, Stevens JS, Sumner JA, Teicher MH, Thompson WK, Tiwari AK, Trapido E, Uddin M, Ursano RJ, Valdimarsdóttir U, van den Heuvel LL, Van Hooff M, van Rooij SJ, Vermetten E, Vinkers CH, Voisey J, Wang Z, Wang Y, Waszczuk M, Weber H, Wendt FR, Werge T, Williams MA, Williamson DE, Winsvold BS, Winternitz S, Wolf EJ, Wolf C, Xia Y, Xiong Y, Yehuda R, Young RM, Young KA, Zai CC, Zai GC, Zervas M, Zhao H, Zoellner LA, Zwart JA, Stein MB, Ressler KJ, Koenen KC. Discovery of 95 PTSD loci provides insight into genetic architecture and neurobiology of trauma and stress-related disorders. medRxiv 2023:2023.08.31.23294915. [PMID: 37693460 PMCID: PMC10491375 DOI: 10.1101/2023.08.31.23294915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Posttraumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 novel). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (e.g., GRIA1, GRM8, CACNA1E ), developmental, axon guidance, and transcription factors (e.g., FOXP2, EFNA5, DCC ), synaptic structure and function genes (e.g., PCLO, NCAM1, PDE4B ), and endocrine or immune regulators (e.g., ESR1, TRAF3, TANK ). Additional top genes influence stress, immune, fear, and threat-related processes, previously hypothesized to underlie PTSD neurobiology. These findings strengthen our understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation.
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Nguyen KTNH, Stuart JJ, Shah AH, Becene IA, West MG, Berrill J, Gelaye B, Borba CPC, Rich-Edwards JW. Novel Methods for Leveraging Large Cohort Studies for Qualitative and Mixed-Methods Research. Am J Epidemiol 2023; 192:821-829. [PMID: 36790786 PMCID: PMC10160766 DOI: 10.1093/aje/kwad030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 10/25/2022] [Accepted: 02/01/2023] [Indexed: 02/16/2023] Open
Abstract
Qualitative research methods, while rising in popularity, are still a relatively underutilized tool in public health research. Usually reserved for small samples, qualitative research techniques have the potential to enhance insights gained from large questionnaires and cohort studies, both deepening the interpretation of quantitative data and generating novel hypotheses that might otherwise be missed by standard approaches; this is especially true where exposures and outcomes are new, understudied, or rapidly changing, as in a pandemic. However, methods for the conduct of qualitative research within large samples are underdeveloped. Here, we describe a novel method of applying qualitative research methods to free-text comments collected in a large epidemiologic questionnaire. Specifically, this method includes: 1) a hierarchical system of coding through content analysis; 2) a qualitative data management application; and 3) an adaptation of Cohen's κ and percent agreement statistics for use by a team of coders, applying multiple codes per record from a large codebook. The methods outlined in this paper may help direct future applications of qualitative and mixed methods within large cohort studies.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Janet W Rich-Edwards
- Correspondence to Dr. Janet W. Rich-Edwards, Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1 Brigham Circle, Boston, MA 02115 (e-mail: )
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Juvinao-Quintero DL, Larrabure-Torrealva GT, Sanchez SE, Kirschbaum C, Williams MA, Gelaye B. Maternal hair cortisol concentrations and its association with increased insulin resistance in midpregnancy. Ann Epidemiol 2023; 81:14-23.e8. [PMID: 36841381 PMCID: PMC10204096 DOI: 10.1016/j.annepidem.2023.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 02/01/2023] [Accepted: 02/21/2023] [Indexed: 02/27/2023]
Abstract
PURPOSE Stress and elevated maternal glycemia have negative effects on pregnancy. We evaluated the association of hair cortisol concentrations (HCC), a marker of chronic stress, with insulin resistance and gestational diabetes (GDM). METHODS In total, 527 women from Lima, Peru, provided a hair sample in the second trimester of their pregnancy to measure HCC using liquid chromatography-tandem mass spectrometry. Each 6 cm of hair captured HCC in early (T1=1-12 weeks) and midpregnancy (T2 = 13-24 weeks). GDM diagnosis was conducted in midpregnancy. Multivariable regression models adjusted for putative risk factorsincluding maternal sociodemographic factors, diabetes history, and hair characteristics, were used to estimate the association of HCC with GDM and various glycemic traits. RESULTS GDM was diagnosed in 122 (23%) women. Mean HCC across pregnancy was T1 = 3.7 (±3.4) pg/mg and T2 = 4.8 (±3.4) pg/mg. HCC was associated with increased log-transformed units of fasting insulin (T1 = 0.15 [0.03, 0.27], T2 = 0.17 [0.04, 0.30]), homeostasis model assessment for insulin resistance (T1 = 0.14 [0.01, 0.26], T2 = 0.17 [0.03, 0.30]), and homeostasis model assessment for β-cell function (T1 = 0.20 [0.05, 0.34], T2 = 0.20 [0.04, 0.36]), but not with GDM (T1 = 0.95 [0.63, 1.40], T2 = 1.11 [0.74, 1.67]). CONCLUSIONS Elevated maternal HCC was associated with abnormal insulin homeostasis in pregnancy. Dysregulation of the hypothalamic-pituitary-adrenal axis, as reflected by high HCC, may also contribute to insulin resistance syndrome in pregnancy.
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Affiliation(s)
| | - Gloria T Larrabure-Torrealva
- Departamento Académico de Medicina Humana, Universidad Nacional Mayor de San Marcos, Lima, Perú; Instituto Nacional Materno Perinatal, Lima, Perú
| | - Sixto E Sanchez
- Universidad de San Martin de Porres, Facultad de Medicina Humana, Instituto de Investigación, Lima, Perú; Asociación Civil PROESA, Lima, Perú
| | - Clemens Kirschbaum
- Department of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Michelle A Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; The Chester M. Pierce, M.D. Division of Global Psychiatry, Massachusetts General Hospital, Boston; Center for Bioethics, Harvard Medical School, Boston, MA
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Kelsall NC, Sanchez SE, Rondon MB, Valeri L, Juvinao-Quintero D, Kirschbaum C, Koenen KC, Gelaye B. Association between trauma exposure and glucocorticosteroid concentration in hair during pregnancy. Psychoneuroendocrinology 2023; 151:106072. [PMID: 36893558 PMCID: PMC10095305 DOI: 10.1016/j.psyneuen.2023.106072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 02/20/2023] [Accepted: 02/21/2023] [Indexed: 03/11/2023]
Abstract
BACKGROUND Traumatic events, including child abuse and intimate partner violence, are highly prevalent among women of child-bearing age. These traumatic experiences may impact maternal and offspring physical and mental health. A proposed mechanism for these effects is maternal hypothalamic-pituitary-adrenal (HPA) axis dysregulation which can be measured using hair corticosteroid levels. AIMS This study aims to examine the association of child abuse and intimate partner violence exposure with HPA axis functioning, as measured by hair corticosteroid levels in a cohort of pregnant women. METHODS We included data from 1822 pregnant women (mean gestational age 17 weeks) attending a prenatal clinic in Lima, Peru. We extracted cortisol and cortisone concentrations from hair samples using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Each participant provided 6-cm hair samples: 3 cm hair segment closest to the scalp reflecting HCC in early pregnancy (first three months), and 3-6 cm from the scalp reflecting HCC in pre-pregnancy (three months prior to conception). Multivariable linear regression procedures were used to assess the association between maternal trauma exposure and hair corticosteroid levels. RESULTS Overall, women who experienced child abuse on average had higher levels of cortisol (p < 0.01) and cortisone (p < 0.0001) after adjustment for age, race, adult access to basic foods and hair treatments. For the hair segment reflecting early pregnancy, presence of child abuse was associated with a 0.120 log unit increase in cortisol and a 0.260 log unit increase in cortisone (p < 0.001). For the hair segment reflecting pre-pregnancy, a history of child abuse was associated with a 0.100 log unit increase in cortisol and a 0.180 log unit increase in cortisone (p < 0.01). Results also suggested an impact of intimate partner violence on HPA regulation; however, associations were not statistically significant after controlling for child abuse. CONCLUSIONS These results underscore the long-lasting impacts of exposure to adversity and trauma during early life. Our study findings will have implications for research investigating HPA axis function and long-term effects of violence on corticosteroid regulation.
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Affiliation(s)
- Nora Clancy Kelsall
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Sixto E Sanchez
- Universidad de San Martin de Porres, Facultad de Medicina Humana, Instituto de Investigación, Lima, Peru; Asociaciòn Civil Proyectos en Salud, Lima, Peru
| | | | - Linda Valeri
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA
| | | | | | - Karestan C Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; The Chester M. Pierce, M.D. Division of Global Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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20
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Chen Y, Shan Y, Lin K, Wei Y, Kim H, Koenen K, Gelaye B, Papatheodorou S. Association between Child Abuse and Risk of Adult Coronary Heart Disease A Systematic Review and Meta-analysis. Am J Prev Med 2023:S0749-3797(23)00118-6. [PMID: 36878413 DOI: 10.1016/j.amepre.2023.02.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 02/17/2023] [Accepted: 02/20/2023] [Indexed: 03/07/2023]
Abstract
INTRODUCTION This meta-analysis aimed to examine the association of child abuse with adult coronary heart disease (CHD) risk and separately by abuse subtypes, including emotional abuse, sexual abuse, and physical abuse. METHODS Data were extracted from studies published up through December 2021 and based on research from PubMed, Embase, CINAHL, and PsycINFO. Studies were selected if they included adults with or without any type of child abuse and measured the risk of any type of CHD. Statistical analyses were conducted in 2022. The random effects model was used to pool the effect estimates presented by RRs with 95% CIs. Heterogeneity was assessed using Q and I2 statistics. RESULTS The pooled estimates were synthesized using 24 effect sizes from 10 studies with a sample size of 343,371 adults. Adults with child abuse were associated with higher risk of CHD compared with those without (RR=1.52, 95% CI=1.29, 1.79), and the association was similar for myocardial infarction (RR=1.50, 95 % CI=1.08, 2.10) and unspecified CHD (RR=1.58, 95% CI=1.23, 2.02). Moreover, emotional (RR=1.48, 95% CI=1.29, 1.71), sexual (RR=1.47, 95% CI=1.15, 1.88), and physical abuse (RR=1.48, 95% CI=1.22, 1.79) were associated with increased risk of CHD. DISCUSSION Child abuse was associated with an increased risk of adult CHD. Results were generally consistent across abuse subtypes and sex. The present study advocates further research on biological mechanisms linking child abuse to CHD, as well as improvement in CHD risk prediction and targeted prevention approaches.
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Affiliation(s)
- Yinxian Chen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yifei Shan
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kehuan Lin
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Clinical Epidemiology Program, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Boston, MA, USA; The Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Ying Wei
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hyelee Kim
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Karestan Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA
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21
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Biadgilign S, Mgutshini T, Deribew A, Gelaye B, Memiah P. Association of maternal psychological distress with children with overweight/obesity in Ethiopia. Child Care Health Dev 2023; 49:392-399. [PMID: 36073145 PMCID: PMC10087200 DOI: 10.1111/cch.13057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 08/15/2022] [Accepted: 09/02/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Poor maternal mental health is a major risk factor for adverse offspring health outcomes, including overweight/obesity status. Maternal mental distress is highly prevalent and associated with parenting practices influencing child weight. To date, there is little information documented in Ethiopia on maternal mental distress and children with overweight/obesity status. This study examined the association between maternal mental distress and children with overweight/obesity among mother-child dyads in Addis Ababa, Ethiopia. METHODS An observational population-based cross-sectional study was conducted among mother-child dyads in representative samples in Addis Ababa, Ethiopia. Maternal mental distress was measured using the Self-Reporting Questionnaire (SRQ)-20. Child/adolescent overweight/obesity was defined as more than 1 SD above the median World Health Organization (WHO) growth reference. Multivariate logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS The prevalence of maternal mental distress and children with overweight/obesity was estimated to be 10.1% and 28.8%, respectively. After adjusting for confounders, including maternal education, maternal occupation, average monthly household income, maternal body mass index (BMI) and the number of household members/family size, maternal psychological distress was not associated with offspring overweight/obesity status (adjusted OR [aOR] = 0.54; 95% CI: 0.25, 1.14). CONCLUSIONS There is no evidence of an association between maternal psychological distress and children with overweight/obesity. This lack of association might be attributable to our cross-sectional study design. Future epidemiologic studies, particularly those using prospectively collected data, are warranted to examine better the effects of maternal psychological distress on offspring body weight.
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Affiliation(s)
- Sibhatu Biadgilign
- Department of Health Studies, College of Human Science, University of South Africa, Pretoria, South Africa
| | - Tennyson Mgutshini
- Department of Health Studies, College of Human Science, University of South Africa, Pretoria, South Africa
| | - Amare Deribew
- School of Public Health, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.,Nutrition International, Addis Ababa, Ethiopia
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Peter Memiah
- Division of Epidemiology and Prevention: Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
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Levey EJ, Chang AR, Sanchez MLJ, Harrison AM, Rodriguez AEM, Gelaye B, Rondon MB. Manifestations of Intergenerational Trauma During the Perinatal Period Among Adolescent Mothers in Lima, Peru: A Qualitative Analysis. J Child Adolesc Trauma 2023; 16:21-30. [PMID: 36776635 PMCID: PMC9908777 DOI: 10.1007/s40653-022-00477-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/04/2022] [Indexed: 06/18/2023]
Abstract
Adverse childhood experiences have a lasting impact on health across the life course. The perinatal period offers a unique opportunity to rework problematic dynamics in families experiencing intergenerational trauma. This study explores the family dynamics that are activated during the perinatal period and considers the potential for intervention with adolescent parents and their families in Lima, Peru. This narrative analysis was part of a broader study that included focus groups and in-depth interviews. Of the ten adolescent mothers interviewed, four narratives were selected for presentation in this manuscript. These particular narratives were selected to illustrate the diversity of the experiences among this group and for the exceptional level of detail provided about their life experiences and family relationships. Narrative excerpts were analyzed in the context of the entire interview and the aggregate content of other interviews in order to explore both explicit and implicit meanings. This study identified critical relational shifts among adolescent parents and their families during the perinatal period. In one instance, adolescent parenthood created an opportunity for the family to come together. In the other cases, conflict escalated, relations grew distant, or both. These narrative data demonstrate that intergenerational trauma can interfere with family relationships in the context of adolescent pregnancy and prevent adolescent parents from accessing needed support from their families. Intervention with families could address the impact of trauma and improve communication and collaboration.
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Affiliation(s)
- Elizabeth J. Levey
- The Chester M. Pierce, Division of Global Psychiatry, Massachusetts General Hospital, Boston, 02114 USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115 USA
| | - Andrew R. Chang
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115 USA
| | | | - Alexandra M. Harrison
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115 USA
- Department of Psychiatry, Cambridge Health Alliance, Cambridge, MA 02139 USA
| | | | - Bizu Gelaye
- The Chester M. Pierce, Division of Global Psychiatry, Massachusetts General Hospital, Boston, 02114 USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115 USA
- Department of Epidemiology, Harvard University T. H. Chan School of Public Health, Boston, MA 02115 USA
| | - Marta B. Rondon
- Asociación Civil Proyectos en Salud, Lima, Peru
- Instituto Nacional Materno Perinatal, Lima, Peru
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Gelaye B, López Jaramillo CA. The epidemiology of mental illness in low- and middle-income countries: Cross-cultural measurement, risk factors, and outcomes. J Affect Disord 2023; 323:30-32. [PMID: 36370914 DOI: 10.1016/j.jad.2022.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 11/06/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA; The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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Kwagala C, Ametaj A, Kim HH, Kyebuzibwa J, Rogers O, Stevenson A, Gelaye B, Akena D. Construct Validity of the Psychosis Screening Questionnaire in Ugandan Adults. Res Sq 2023:rs.3.rs-2482429. [PMID: 36778438 PMCID: PMC9915780 DOI: 10.21203/rs.3.rs-2482429/v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Background Psychotic disorders are common and contribute significantly to morbidity and mortality of people with psychiatric diseases. Therefore, early screening and detection may facilitate early intervention and reduce adverse outcomes. Screening tools that lay persons can administer are particularly beneficial in low resource settings. However, there is limited research evaluating the validity of psychosis screening instruments in Uganda. We aimed to assess the construct validity and psychometric properties of the Psychosis Screening Questionnaire (PSQ) in Uganda in a population with no history of a psychotic disorder. Methods The sample consisted of 2101 Ugandan adults participating as controls in a larger multi-country case-control study on psychiatric genetics. We used confirmatory factor analysis (CFA) and item response theory (IRT) to evaluate the factor structure and item properties of the PSQ. Results The overall prevalence screening positive for psychotic symptoms was 13.9%. "Strange experiences" were the most endorsed symptoms (6.6%). A unidimensional factor was the best fitting model based on the fit indices including the root mean square error of approximation (RMSEA of 0.00), comparative fit index (CFI of 1.000), and Tucker-Lewis Index (TLI of 1.000). The most discriminating items along the latent construct of psychosis were items assessing thought disturbance followed by items assessing paranoia, with a parameter (discrimination) value of 2.53 and 2.40, respectively. Conclusion The PSQ works well in Uganda as an initial screening tool for moderate to high-level of psychotic symptoms.
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Chen Y, Juvinao-Quintero D, Velez JC, Muñoz S, Castillo J, Gelaye B. Personal and Work-Related Burnout Is Associated with Elevated Diastolic Blood Pressure and Diastolic Hypertension among Working Adults in Chile. Int J Environ Res Public Health 2023; 20:1899. [PMID: 36767266 PMCID: PMC9915288 DOI: 10.3390/ijerph20031899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/15/2023] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
We aimed at investigating the association of personal and work-related burnout with blood pressure and hypertension among working adults in Chile. We conducted a cross-sectional study among 1872 working adults attending the Hospital del Trabajador in Santiago, Chile, between September 2015 and February 2018. The Copenhagen Burnout Inventory was used to assess personal and work-related burnout. Blood pressure was measured by medical practitioners. Multivariable linear and logistic regressions were used to estimate the association of burnout status with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension. After adjusting for confounders, participants with both types of burnout had a 1.66 (95% confidence interval [CI]: 0.02-3.30) mmHg higher mean DBP than those without burnout. The odds of isolated diastolic hypertension among the participants with only personal burnout and both types of burnout were 2.00-fold (odds ratio [OR] = 2.00; 95% CI: 1.21-3.31) and 2.08-fold (OR = 2.08; 95% CI: 1.15-3.78) higher than those without burnout. The odds of combined systolic/diastolic hypertension among the participants with only work-related burnout increased by 59% (OR = 1.59; 95% CI: 1.01-2.50) compared with those without burnout. Both work-related and personal burnouts were associated with increased DBP and odds of diastolic hypertension among working adults in Chile.
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Affiliation(s)
- Yinxian Chen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Diana Juvinao-Quintero
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Juan Carlos Velez
- Departamento de Rehabilitación, Hospital del Trabajador, Asociación Chilena de Seguridad, Santiago 8320000, Chile
| | - Sebastian Muñoz
- Departamento de Rehabilitación, Hospital del Trabajador, Asociación Chilena de Seguridad, Santiago 8320000, Chile
| | - Jessica Castillo
- Departamento de Rehabilitación, Hospital del Trabajador, Asociación Chilena de Seguridad, Santiago 8320000, Chile
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
- The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
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Abdulrahman H, Bousleiman S, Mumin M, Caqli I, Hijaz BA, Gelaye B, Fricchione G, Chemali Z. A retrospective data analysis of psychiatric cases in Hargeisa, Somaliland between 2019 and 2020. S Afr J Psychiatr 2023; 29:1946. [PMID: 36876033 PMCID: PMC9982481 DOI: 10.4102/sajpsychiatry.v29i0.1946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/28/2022] [Indexed: 03/06/2023] Open
Abstract
Background In Somaliland, an estimated one person in every two households suffers from psychiatric disorders. Despite this, access to mental health care is limited because of shortages in facilities, human resources, funding and stigma. Aim To present the proportion of psychiatric disorders encountered in outpatient psychiatry clinics. Setting The University if Hargeisa (UoH), Hargesisa, Somaliland. Methods De-identified data on patients accessing psychiatric care from doctor trainees in the dual psychiatry-neurology residency program at UoH from January 2019 to June 2020 were included in the analysis. The Institutional Review Board from UoH approved data collection and analysis. The most common psychiatric diagnoses were summarised overall and by sex and age. Results A total of 752 patients were included in the analysis. Most were male (54.7%), with an average age of 34.9 years. The most common psychiatric diagnoses were schizophrenia (28.0%), major depressive disorder (MDD) (14.3%) and bipolar disorder type 1 (BD1) (10.5%). When stratified by sex, patients with schizophrenia and BD1 were more likely to be male (73.5% and 53.3%, respectively), and those with MDD were more likely to be female (58.8%). Trauma- and stressor-related disorders accounted for 0.4% of cases, while 0.8% of patients presented with substance use disorders (alcohol and khat), which is an underestimate of the widespread use in Somaliland. Conclusion Additional research using structured clinical interviews is needed to determine the epidemiology of psychiatric disorders and promote policies aiming to decrease neuropsychiatric mortality and morbidity. Contribution This work presents the first data collection related to neuropsychiatric disorders in Somaliland.
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Affiliation(s)
- Hassan Abdulrahman
- College of Medicine and Health Science, University of Hargeisa, Hargeisa, Somaliland
| | - Stephanie Bousleiman
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Mustafe Mumin
- College of Medicine and Health Science, University of Hargeisa, Hargeisa, Somaliland
| | - Ibrahim Caqli
- College of Medicine and Health Science, University of Hargeisa, Hargeisa, Somaliland
| | - Baraa A Hijaz
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States.,The Chester M. Pierce, MD Division of Global Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Gregory Fricchione
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.,The Chester M. Pierce, MD Division of Global Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Zeina Chemali
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.,The Chester M. Pierce, MD Division of Global Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.,Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
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Vélez JC, Kovasala M, Collado MD, Friedman LE, Juvinao-Quintero DL, Araya L, Castillo J, Williams MA, Gelaye B. Pain, mood, and suicidal behavior among injured working adults in Chile. BMC Psychiatry 2022; 22:766. [PMID: 36471330 PMCID: PMC9724445 DOI: 10.1186/s12888-022-04391-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Chronic pain is comorbid with psychiatric disorders, but information on the association of chronic pain with depressive symptoms, generalized anxiety, and suicidal behavior among occupational cohorts is inadequate. We investigated these associations among employed Chilean adults. METHODS A total of 1946 working adults were interviewed during their outpatient visit. Pain was assessed using the Short Form McGill Pain questionnaire (SF-MPG) while depression and generalized anxiety were examined using the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), respectively. The Columbia-Suicide Severity Rating Scale was used to assess suicidal behavior and suicidal ideation. Multivariable logistic regression models were used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (95%CI) for the association of chronic pain with mood disorders, as well as suicidal behavior. RESULTS High chronic pain (SF-MPG > 11) was reported by 46% of participants. Approximately two-fifths of the study participants (38.2%) had depression, 23.8% generalized anxiety, 13.4% suicidal ideation, and 2.4% suicidal behavior. Compared to those with low pain (SF-MPG ≤11), participants with high chronic pain (SF-MPG > 11) had increased odds of experiencing depression only (aOR = 2.87; 95% CI: 2.21-3.73), generalized anxiety only (aOR = 2.38; 95% CI: 1.42-3.99), and comorbid depression and generalized anxiety (aOR = 6.91; 95% CI: 5.20-9.19). The corresponding aOR (95%CI) for suicidal ideation and suicidal behavior were (aOR = 2.20; 95% CI: 1.58-3.07) and (aOR = 2.18 = 95% CI: 0.99-4.79), respectively. CONCLUSIONS Chronic pain is associated with increased odds of depression, generalized anxiety, and suicidal behavior. Mental health support and appropriate management of patients experiencing chronic pain are critical.
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Affiliation(s)
- Juan Carlos Vélez
- grid.414619.f0000 0004 0628 8121Departamento de Rehabilitación, Hospital del Trabajador, Santiago, Chile
| | - Michael Kovasala
- grid.38142.3c000000041936754XMultidisciplinary International Research Training (MIRT) Program, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Michele Demi Collado
- grid.38142.3c000000041936754XMultidisciplinary International Research Training (MIRT) Program, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Lauren E. Friedman
- grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave Room 505F, Boston, MA 02115 USA
| | - Diana L. Juvinao-Quintero
- grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave Room 505F, Boston, MA 02115 USA
| | - Lisette Araya
- grid.414619.f0000 0004 0628 8121Servicio de Psiquiatría y Psicología, Hospital del Trabajador, Santiago, Chile
| | - Jessica Castillo
- grid.414619.f0000 0004 0628 8121Servicio de Psiquiatría y Psicología, Hospital del Trabajador, Santiago, Chile
| | - Michelle A. Williams
- grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave Room 505F, Boston, MA 02115 USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave Room 505F, Boston, MA, 02115, USA. .,The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA. .,Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
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Rojas Perez OF, Sanchez SE, Cruz V, Sánchez E, Levey E, Gelaye B. Comparative Performance of the Resilience Inventory (IRES) and Resilience Scale-14 (RS-14) Spanish Versions Among Postpartum Adolescent Mothers. J Child Adolesc Trauma 2022; 15:1069-1080. [PMID: 36439676 PMCID: PMC9684388 DOI: 10.1007/s40653-022-00458-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/25/2022] [Indexed: 06/16/2023]
Abstract
We sought to evaluate the psychometric properties of two resilience scales; the Resilience Inventory (IRES) and the 14-item Resilience Scale (RS-14) among Peruvian postpartum adolescent mothers. This cross-sectional study included 785 adolescent mothers who delivered at a maternity hospital in Lima, Peru. The Spanish versions of IRES and RS-14 were used to evaluate the properties of the measures. We examined reliability using Cronbach's alpha. We used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to assess the construct validity and factor structures of the two scales. Both scales had good internal consistency (Cronbach's alpha > 0.7). Correlation between IRES and RS-14 scores was fair (r = 0.53). The EFA results of both scales yielded a three-factor structure. EFA including all items from IRES and RS-14 yielded a six-factor structure. CFA results corroborated the original seven-factor structure for IRES and yielded measures indicating a good level of goodness of fit (comparative fit index of 0.93) and accuracy (root mean square error of approximation of 0.07). Overall, Spanish language versions of both the IRES and the RS-14 are reliable and valid scales for assessing resilience among Peruvian postpartum adolescent mothers. Additional research is needed to integrate culturally-specific traits into resilience measures.
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Affiliation(s)
| | - Sixto E. Sanchez
- Universidad Peruana de Ciencias Aplicadas, Lima, Peru
- Asociación Civil PROESA, Lima, Peru
| | - Victor Cruz
- Peruvian National Institute of Mental Health, Honorio Delgado – Hideyo Noguchi, Lima, Peru
| | | | - Elizabeth Levey
- The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA USA
- Department of Psychiatry, Harvard Medical School, Boston, MA USA
| | - Bizu Gelaye
- The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA USA
- Department of Psychiatry, Harvard Medical School, Boston, MA USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA USA
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29
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Jaguga F, Ametaj A, Kim HH, Stroud RE, Newton CR, Kariuki SM, Kwobah EK, Atwoli L, Gelaye B, Korte KJ. Factor structure and item response of psychosis symptoms among Kenyan adults. J Affect Disord 2022; 317:136-141. [PMID: 36028013 PMCID: PMC10131230 DOI: 10.1016/j.jad.2022.08.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/10/2022] [Accepted: 08/18/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND The aim of this study was to evaluate the construct validity of the psychosis module of the Mini International Neuropsychiatric Interview version 7.0.2 (MINI-7). METHOD We utilized data collected from 2738 participants with a primary psychotic or bipolar disorder. Participants were drawn from two Kenyan sites of a large multi-center neuropsychiatric genetic study. The factor structure of the MINI-7 psychosis items were explored using confirmatory factor analyses (CFA) and Item Response Theory approach, for the full sample and by gender. RESULTS The CFA revealed that a 1-factor model provided adequate fit for the MINI-7 psychosis items for the full sample (x2 = 397.92, df = 35, p < .0001; RMSEA = 0.06; CFI = 0.92; TLI = 0.90) as well as for the female (x2 = 185.16.92, df = 35, p < .0001; RMSEA = 0.06; CFI = 0.93; TLI = 0.91) and male groups (x2 = 242.09, df = 35, p < .0001; RMSEA = 0.06; CFI = 0.92; TLI = 0.89). Item thresholds for the full sample, and female and male groups were highest for 'odd beliefs' (-1.42, -1.33, and -1.51 respectively) and lowest for 'visual hallucinations' (-0.03, -0.04, and -0.01 respectively). LIMITATIONS Our study used a hospital-based population, which may have excluded patients with milder psychotic symptoms. Findings may therefore not be generalizable to the community setting. CONCLUSIONS Our findings indicate good construct validity of the MINI-7 psychosis module, and provides support for use of the tool in diagnosing psychotic disorders in clinical settings in Kenya.
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Affiliation(s)
- Florence Jaguga
- Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya.
| | - Amantia Ametaj
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hannah H Kim
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Rocky E Stroud
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Charles R Newton
- Neuroscience Department, Kenya Medical Research Institute - Wellcome Trust Research Program, Kilifi, Kenya; Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Symon M Kariuki
- Neuroscience Department, Kenya Medical Research Institute - Wellcome Trust Research Program, Kilifi, Kenya; Department of Psychiatry, University of Oxford, Oxford, United Kingdom; Department of Public Health, Pwani University, Kilifi, Kenya
| | - Edith Kamaru Kwobah
- Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya
| | - Lukoye Atwoli
- Department of Internal Medicine, Medical College East Africa, Aga Khan University, Nairobi, Kenya
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Kristina J Korte
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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30
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Girma E, Ametaj A, Alemayehu M, Milkias B, Yared M, Misra S, Stevenson A, Koenen KC, Gelaye B, Teferra S. Measuring traumatic experiences in a sample of Ethiopian adults: Psychometric properties of the life events checklist-5. European Journal of Trauma & Dissociation 2022; 6. [DOI: 10.1016/j.ejtd.2022.100298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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31
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Gifford A, Biffi A, Gelaye B, Chemali Z. Shedding Light on the Causes and Characteristics of Stroke in Lebanon: A Systematic Review of Literature. J Geriatr Psychiatry Neurol 2022; 35:655-662. [PMID: 34555937 DOI: 10.1177/08919887211044753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The prevalence and severity of stroke in Lebanon has increased over the past decade and stroke is currently the second leading cause of death in the country. METHODS We systematically reviewed existing research on stroke prevalence, risk factors, mortality and morbidity of stroke, stroke treatment, and stroke education to assess the epidemiology of stroke in Lebanon. A literature search was conducted on the PubMed database for articles presenting data in any of these 5 categories in Lebanon, as well as articles discussing the Middle East and North Africa region generally. RESULTS A high prevalence of modifiable risk factors (cigarette and waterpipe smoking) and risk factors that could be mitigated by lifestyle changes (obesity and hypertension) were found in Lebanon. Stroke mortality rates and risk factors of mortality were consistent with global trends, though the cost of treatment in Lebanon was significantly higher than in other developing nations. CONCLUSION Urgent public health initiatives are needed to educate the public about the dangers of modifiable stroke risk factors and to reduce the burden of stroke in Lebanon.
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Affiliation(s)
- Abbott Gifford
- Department of Psychology, Colorado College, Colorado Springs, CO, USA.,Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Alessandro Biffi
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Departments of Neurology, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Bizu Gelaye
- Harvard T. H. Chan School of Public Health, MA, USA.,The Chester M. Pierce, M.D. Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Zeina Chemali
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Departments of Neurology, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,The Chester M. Pierce, M.D. Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA
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32
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Abdulrahman H, Hijaz BA, Mumin M, Caqli I, Osman J, Gelaye B, Bousleiman S, Fricchione GL, Chemali Z. Reporting on neurological burden in Hargeisa, Somaliland between 2019 and 2020: A cross-sectional study. J Neurol Sci 2022; 440:120322. [DOI: 10.1016/j.jns.2022.120322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 06/06/2022] [Accepted: 06/12/2022] [Indexed: 11/26/2022]
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33
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Atkinson EG, Dalvie S, Pichkar Y, Kalungi A, Majara L, Stevenson A, Abebe T, Akena D, Alemayehu M, Ashaba FK, Atwoli L, Baker M, Chibnik LB, Creanza N, Daly MJ, Fekadu A, Gelaye B, Gichuru S, Injera WE, James R, Kariuki SM, Kigen G, Koen N, Koenen KC, Koenig Z, Kwobah E, Kyebuzibwa J, Musinguzi H, Mwema RM, Neale BM, Newman CP, Newton CRJC, Ongeri L, Ramachandran S, Ramesar R, Shiferaw W, Stein DJ, Stroud RE, Teferra S, Yohannes MT, Zingela Z, Martin AR. Genetic structure correlates with ethnolinguistic diversity in eastern and southern Africa. Am J Hum Genet 2022; 109:1667-1679. [PMID: 36055213 PMCID: PMC9502052 DOI: 10.1016/j.ajhg.2022.07.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 07/28/2022] [Indexed: 12/22/2022] Open
Abstract
African populations are the most diverse in the world yet are sorely underrepresented in medical genetics research. Here, we examine the structure of African populations using genetic and comprehensive multi-generational ethnolinguistic data from the Neuropsychiatric Genetics of African Populations-Psychosis study (NeuroGAP-Psychosis) consisting of 900 individuals from Ethiopia, Kenya, South Africa, and Uganda. We find that self-reported language classifications meaningfully tag underlying genetic variation that would be missed with consideration of geography alone, highlighting the importance of culture in shaping genetic diversity. Leveraging our uniquely rich multi-generational ethnolinguistic metadata, we track language transmission through the pedigree, observing the disappearance of several languages in our cohort as well as notable shifts in frequency over three generations. We find suggestive evidence for the rate of language transmission in matrilineal groups having been higher than that for patrilineal ones. We highlight both the diversity of variation within Africa as well as how within-Africa variation can be informative for broader variant interpretation; many variants that are rare elsewhere are common in parts of Africa. The work presented here improves the understanding of the spectrum of genetic variation in African populations and highlights the enormous and complex genetic and ethnolinguistic diversity across Africa.
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Affiliation(s)
- Elizabeth G Atkinson
- Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Shareefa Dalvie
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Yakov Pichkar
- Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN, USA
| | - Allan Kalungi
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda; Mental Health Section of MRC/UVRI & LSHTM Uganda Research Unit, Entebbe, Uganda
| | - Lerato Majara
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; South African Medical Research Council (SAMRC) Human Genetics Research Unit, Division of Human Genetics, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Anne Stevenson
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Tamrat Abebe
- Department of Microbiology, Immunology, and Parasitology, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Dickens Akena
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Melkam Alemayehu
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Fred K Ashaba
- Department of Immunology & Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Lukoye Atwoli
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya; Brain and Mind Institute and Department of Internal Medicine, Medical College East Africa, the Aga Khan University, Nairobi, Kenya
| | - Mark Baker
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lori B Chibnik
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Nicole Creanza
- Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN, USA
| | - Mark J Daly
- Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Abebaw Fekadu
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia; Centre for Innovative Drug Development & Therapeutic Trials for Africa, Addis Ababa University, Addis Ababa, Ethiopia
| | - Bizu Gelaye
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Stella Gichuru
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Wilfred E Injera
- Department of Immunology, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Roxanne James
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Symon M Kariuki
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Gabriel Kigen
- Department of Pharmacology and Toxicology, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Nastassja Koen
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Karestan C Koenen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Zan Koenig
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Edith Kwobah
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Joseph Kyebuzibwa
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Henry Musinguzi
- Department of Immunology & Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Rehema M Mwema
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Carter P Newman
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Charles R J C Newton
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Linnet Ongeri
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya
| | - Sohini Ramachandran
- Department of Ecology and Evolutionary Biology and Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - Raj Ramesar
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Welelta Shiferaw
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Rocky E Stroud
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Solomon Teferra
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Mary T Yohannes
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zukiswa Zingela
- Executive Dean's Office, Faculty of Health Sciences, Nelson Mandela University, Port Elizabeth, South Africa
| | - Alicia R Martin
- Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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Naisanga M, Ametaj A, Kim HH, Newman C, Stroud R, Gelaye B, Akena D. Construct validity and factor structure of the K-10 among Ugandan adults. J Affect Disord 2022; 311:143-147. [PMID: 35561886 PMCID: PMC10131229 DOI: 10.1016/j.jad.2022.05.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 02/24/2022] [Accepted: 05/05/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Psychological distress is often used as a proxy measure for the mental health of a population. The Kessler Psychological Distress Scale (K-10) is a widely used brief screening tool for psychological distress, yet few studies have evaluated its utility in sub-Saharan Africa. We evaluated its construct validity and factor structure in Uganda. METHODS We used data from an ongoing case-control study. Participants in the present study were patients seeking general medical outpatient services and caretakers of mentally ill persons. Demographic data were collected using a structured questionnaire, and psychological distress was assessed using the K-10. K-10 construct validity and factorial structure were assessed through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). RESULTS A total of 2104 participants were included in this analysis, these were controls from a general medical setting. The mean K-10 score was 2.34 with an internal consistency of 0.86. EFA resulted in a two-factor solution that accounted for 78.37% of the variance. CFA revealed that a unidimensional model of psychological distress with correlated errors between some of K-10 items was superior, with a comparative fit index of 0.95, Tucker-Lewis index of 0.93, and a root mean square error of approximation of 0.08. LIMITATIONS The study was limited to evaluating internal consistency and construct validity. Future studies are warranted to examine criterion validity and establish cut-offs for psychological distress. CONCLUSIONS The K-10 had good psychometric properties in this population and may be useful for measuring broad psychological distress in general medical settings.
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Affiliation(s)
- Molly Naisanga
- Department of Psychiatry, Makerere University, Kampala, Uganda.
| | - Amantia Ametaj
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Hannah H Kim
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Carter Newman
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rocky Stroud
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA; The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Dickens Akena
- Department of Psychiatry, Makerere University, Kampala, Uganda
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Zavala VA, Casavilca-Zambrano S, Navarro-Vásquez J, Castañeda CA, Valencia G, Morante Z, Calderón M, Abugattas JE, Gómez H, Fuentes HA, Liendo-Picoaga R, Cotrina JM, Monge C, Neciosup SP, Huntsman S, Hu D, Sánchez SE, Williams MA, Núñez-Marrero A, Godoy L, Hechmer A, Olshen AB, Dutil J, Ziv E, Zabaleta J, Gelaye B, Vásquez J, Gálvez-Nino M, Enriquez-Vera D, Vidaurre T, Fejerman L. Association between Ancestry-Specific 6q25 Variants and Breast Cancer Subtypes in Peruvian Women. Cancer Epidemiol Biomarkers Prev 2022; 31:1602-1609. [PMID: 35654312 PMCID: PMC9662925 DOI: 10.1158/1055-9965.epi-22-0069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 03/07/2022] [Accepted: 05/23/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Breast cancer incidence in the United States is lower in Hispanic/Latina (H/L) compared with African American/Black or Non-Hispanic White women. An Indigenous American breast cancer-protective germline variant (rs140068132) has been reported near the estrogen receptor 1 gene. This study tests the association of rs140068132 and other polymorphisms in the 6q25 region with subtype-specific breast cancer risk in H/Ls of high Indigenous American ancestry. METHODS Genotypes were obtained for 5,094 Peruvian women with (1,755) and without (3,337) breast cancer. Associations between genotype and overall and subtype-specific risk for the protective variant were tested using logistic regression models and conditional analyses, including other risk-associated polymorphisms in the region. RESULTS We replicated the reported association between rs140068132 and breast cancer risk overall [odds ratio (OR), 0.53; 95% confidence interval (CI), 0.47-0.59], as well as the lower odds of developing hormone receptor negative (HR-) versus HR+ disease (OR, 0.77; 95% CI, 0.61-0.97). Models, including HER2, showed further heterogeneity with reduced odds for HR+HER2+ (OR, 0.68; 95% CI, 0.51-0.92), HR-HER2+ (OR, 0.63; 95% CI, 0.44-0.90) and HR-HER2- (OR, 0.77; 95% CI, 0.56-1.05) compared with HR+HER2-. Inclusion of other risk-associated variants did not change these observations. CONCLUSIONS The rs140068132 polymorphism is associated with decreased risk of breast cancer in Peruvians and is more protective against HR- and HER2+ diseases independently of other breast cancer-associated variants in the 6q25 region. IMPACT These results could inform functional analyses to understand the mechanism by which rs140068132-G reduces risk of breast cancer development in a subtype-specific manner. They also illustrate the importance of including diverse individuals in genetic studies.
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Affiliation(s)
- Valentina A. Zavala
- Department of Public Health Sciences, University of California Davis, Davis, California
| | | | | | | | | | - Zaida Morante
- Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | | | | | - Henry Gómez
- Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | | | | | | | - Claudia Monge
- Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | | | - Scott Huntsman
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Donglei Hu
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Sixto E. Sánchez
- Universidad Peruana de Ciencias Aplicadas, Lima, Peru and Asociación Civil Proyectos en Salud (PROESA), Lima, Peru
| | - Michelle A. Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Angel Núñez-Marrero
- Department of Biochemistry, Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Lenin Godoy
- Department of Biochemistry, Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Aaron Hechmer
- Helen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Adam B. Olshen
- Helen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Julie Dutil
- Department of Biochemistry, Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Jovanny Zabaleta
- Department of Pediatrics and Stanley S. Scott Cancer Center LSUHSC, New Orleans, Louisiana
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jule Vásquez
- Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | | | | | | | - Laura Fejerman
- Department of Public Health Sciences, University of California Davis, Davis, California
- UC Davis Comprehensive Cancer Center, University of California Davis, Davis, California
- Corresponding Author: Laura Fejerman, UC Davis Comprehensive Cancer Center, 451 Health Sciences Drive, Davis, CA 95616. Phone: 530-754-1690; E-mail:
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Hoffman J, Cossie Q, Ametaj AA, Kim HH, James R, Stroud RE, Stevenson A, Zingela Z, Stein DJ, Gelaye B. Construct validity and factor structure of the Kessler-10 in South Africa. BMC Psychol 2022; 10:177. [PMID: 35851071 PMCID: PMC9290237 DOI: 10.1186/s40359-022-00883-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 06/29/2022] [Indexed: 11/21/2022] Open
Abstract
Background The Kessler Psychological Distress Scale (K-10) is a short screening tool developed to identify, with good sensitivity, non-specific psychological distress in the general population. Sensitivity and specificity of the K-10 have been examined in various clinical populations in South Africa; however, other psychometric properties, such as construct validity and factor structure, have not been evaluated. We present evidence of the prevalence and severity of psychological distress in an outpatient setting in South Africa and evaluate the internal reliability, construct validity, and factor structure of the K-10 in this population. Methods We explored prevalence estimates of psychological distress using previously established cutoffs and assessed the reliability (consistency) of the K-10 by calculating Cronbach’s alpha, item-total correlations and omega total and hierarchical coefficients. Construct validity and factor structure of the K-10 were examined through split-sample exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA), comparing several theoretical models and the EFA. Results Overall, there was low prevalence of psychological distress in our sample of 2591 adults, the majority of whom were between the ages of 18–44 (77.7%). The K-10 showed good construct validity and reliability, with a Cronbach’s alpha of 0.84 and omega total of 0.88. EFA yielded a four-factor solution with likely measurement artifacts. CFA showed that the four-factor model from EFA displayed the best comparative fit indices, but was likely overfitted. The unidimensional model with correlated errors was deemed the best fitting model based on fit indices, prior theory, and previous studies. Conclusion The K-10 displays adequate psychometric properties, good internal reliability, and good fit with a unidimensional-factor structure with correlated errors. Further work is required to determine appropriate cutoff values in different populations and clinical subgroups within South Africa to aid in determining the K-10’s clinical utility.
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Affiliation(s)
- Jacob Hoffman
- Unit on Risk and Resilience in Mental Disorders, South African Medical Research Council (SAMRC), Cape Town, South Africa. .,Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa. .,Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
| | - Qhama Cossie
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.,Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Amantia A Ametaj
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hannah H Kim
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Roxanne James
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.,Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Rocky E Stroud
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anne Stevenson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zukiswa Zingela
- Psychology Department, Faculty of Health Sciences, Nelson Mandela University, Gqeberha, South Africa
| | - Dan J Stein
- Unit on Risk and Resilience in Mental Disorders, South African Medical Research Council (SAMRC), Cape Town, South Africa.,Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.,Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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37
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Zavala VA, Vidaurre T, Huang X, Casavilca S, Navarro J, Williams MA, Sanchez S, Ziv E, Carvajal-Carmona L, Neuhausen7 SL, Gelaye B, Fejerman L. Abstract 3683: Identification of optimal set of genetic variants from a previously reported polygenic risk score for breast cancer risk prediction in Latin American women. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Around 10% of genetic predisposition for breast cancer is explained by mutations in high/moderate penetrance genes. The remaining proportion is explained by multiple common variants of relatively small effect. A subset of these variants has been identified mostly in Europeans and Asians; and combined into polygenic risk scores (PRS) to predict breast cancer risk. Our aim is to identify a subset of variants to improve breast cancer risk prediction in Hispanics/Latinas (H/Ls).Breast cancer patients were recruited at the Instituto Nacional de Enfermedades Neoplásicas in Peru, to be part of The Peruvian Genetics and Genomics of Breast Cancer Study (PEGEN). Women without a diagnosis of breast cancer from a pregnancy outcomes study conducted in Peru were included as controls. After quality control filters, genome-wide genotypes were available for 1,809 cases and 3,334 controls. Missing genotypes were imputed using the Michigan Imputation Server using individuals from 1000 Genomes Project as reference. Genotypes for 313 previously reported breast cancer associated variants and 2 Latin American specific single nucleotide polymorphisms (SNPs) were extracted from the data, using an imputation r2 filter of 30%. Feature selection techniques were used to identify the best subset of SNPs for breast cancer prediction in Peruvian women. We randomly split the PEGEN data by 4:1 ratio for training/validation and testing. Training/validation data were resampled and split in 3:1 ratio into training and validation sets. SNP ranking and selection were done by bootstrapping results from 100 resampled training and validation sets. PRS were built by adding counts of risk alleles weighted by previously reported beta coefficients. The Area Under the Curve (AUC) was used to estimate the prediction accuracy of subsets of SNPs selected with different techniques. Logistic regression was used to test the association between standardized PRS residuals (after adjustment for genetic ancestry) and breast cancer risk. Of the 315 reported variants, 274 were available from the imputed dataset. The full 274-SNP PRS was associated with an AUC of 0.63 (95%CI=0.59-0.66) in the PEGEN study. Using different feature selection methods, we found subsets of SNPs that were associated with AUC values between 0.65-0.69. The best method (AUC=0.69, 95%CI=0.66-0.72) included a subset of 98 SNPs. Sixty-eight SNPs were selected by all methods, including the protective SNP rs140068132 in the 6q25 region, which is associated with Indigenous American ancestry and the largest contribution to the AUC.We identified a subset of 98 SNPs from a previously identified breast cancer PRS that improves breast cancer risk prediction compared to the full set, in women of high Indigenous American ancestry from Peru. Replication in women from Mexico and Colombia, and H/Ls from the U.S will allow us to confirm these results.
Citation Format: Valentina A. Zavala, Tatiana Vidaurre, Xiaosong Huang, Sandro Casavilca, Jeannie Navarro, Michelle A. Williams, Sixto Sanchez, Elad Ziv, Luis Carvajal-Carmona, Susan L. Neuhausen7, Bizu Gelaye, Laura Fejerman. Identification of optimal set of genetic variants from a previously reported polygenic risk score for breast cancer risk prediction in Latin American women [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3683.
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Affiliation(s)
| | | | | | | | | | | | - Sixto Sanchez
- 4Universidad Peruana de Ciencias Aplicadas, Lima, Peru
| | - Elad Ziv
- 5University of California, San Francisco, San Francisco, CA
| | | | | | - Bizu Gelaye
- 3Harvard T.H. Chan School of Public Health, Boston, MA
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Martin AR, Stroud RE, Abebe T, Akena D, Alemayehu M, Atwoli L, Chapman SB, Flowers K, Gelaye B, Gichuru S, Kariuki SM, Kinyanjui S, Korte KJ, Koen N, Koenen KC, Newton CRJC, Olivares AM, Pollock S, Post K, Singh I, Stein DJ, Teferra S, Zingela Z, Chibnik LB. Increasing diversity in genomics requires investment in equitable partnerships and capacity building. Nat Genet 2022; 54:740-745. [PMID: 35668301 PMCID: PMC7613571 DOI: 10.1038/s41588-022-01095-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Calls for diversity in genomics have motivated new global research collaborations across institutions with highly imbalanced resources. We describe practical lessons we have learned so far from designing multidisciplinary international research and capacity-building programs that prioritize equity in two intertwined programs — the NeuroGAP-Psychosis research study and GINGER training program — spanning institutions in Ethiopia, Kenya, South Africa, Uganda and the united States.
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Affiliation(s)
- Alicia R Martin
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
| | - Rocky E Stroud
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Tamrat Abebe
- Department of Microbiology, Immunology, and Parasitology, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Dickens Akena
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Melkam Alemayehu
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Lukoye Atwoli
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
- Brain and Mind Institute, Medical College East Africa, The Aga Khan University, Nairobi, Kenya
- Department of Internal Medicine, Medical College East Africa, The Aga Khan University, Nairobi, Kenya
| | - Sinéad B Chapman
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Katelyn Flowers
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Bizu Gelaye
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Stella Gichuru
- Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya
| | - Symon M Kariuki
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Sam Kinyanjui
- Centre for Geographic Medicine Research Coast, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya
- Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | - Kristina J Korte
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nastassja Koen
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- SA MRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town and Neuroscience Institute, Cape Town, South Africa
| | - Karestan C Koenen
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Charles R J C Newton
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Ana Maria Olivares
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Sam Pollock
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kristianna Post
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Ilina Singh
- Department of Psychiatry and Wellcome Centre for Ethics and Humanities, University of Oxford, Oxford, UK
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- SA MRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town and Neuroscience Institute, Cape Town, South Africa
| | - Solomon Teferra
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Zukiswa Zingela
- Executive Dean's Office, Faculty of Health Sciences, Nelson Mandela University, Gqebera, South Africa
| | - Lori B Chibnik
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Rubio E, Levey EJ, Rondon MB, Friedman L, Sanchez SE, Williams MA, Gelaye B. Poor sleep Quality and Obstructive Sleep Apnea are Associated with Maternal Mood, and Anxiety Disorders in Pregnancy. Matern Child Health J 2022; 26:1540-1548. [PMID: 35596848 DOI: 10.1007/s10995-022-03449-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 04/28/2022] [Accepted: 05/01/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Previous studies suggest sleep quality and obstructive sleep apnea (OSA) may be associated with psychiatric symptoms, including depression, anxiety, and posttraumatic stress disorder (PTSD). However, few studies have examined the relationship between sleep quality and OSA with maternal psychiatric symptoms during pregnancy, a state of vulnerability to these disorders. OBJECTIVE The objective of our study is to examine the association between poor sleep quality and sleep apnea with antepartum depression, anxiety, and PTSD among pregnant women. METHODS A cross-sectional study was conducted among women seeking prenatal care in Lima, Peru. Sleep quality was measured using the Pittsburgh Sleep Quality Index, and the Berlin questionnaire was used to identify women at high risk for OSA. Depression, generalized anxiety, and PTSD symptoms were measured using the Patient Health Questionnaire-9, Generalized Anxiety Disorder Assessment, and PTSD Checklist - Civilian Version. Multivariate logistic regression procedures were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (95% CI). RESULTS Approximately 29.0X% of women had poor sleep quality, and 6.2% were at high risk for OSA. The prevalence of psychiatric symptoms was high in this cohort with 25.1%, 32.5%, and 30.9% of women reporting symptoms of antepartum depression, antepartum anxiety, and PTSD, respectively. Women with poor sleep quality had higher odds of antepartum depression (aOR = 3.28; 95%CI: 2.64-4.07), generalized anxiety (aOR = 1.94; 95%CI: 1.58-2.38), and PTSD symptoms (aOR = 2.81; 95% CI: 2.28-3.46) as compared with women who reported good sleep quality. Women with a high risk of OSA had higher odds of antepartum depression (aOR = 2.36; 95% CI: 1.57-3.56), generalized anxiety (aOR = 2.02, 95% CI: 1.36-3.00), and PTSD symptoms (aOR = 2.14; 95%CI: 1.43-3.21) as compared with those with a low risk of sleep apnea. CONCLUSIONS Poor sleep quality and high risk of OSA are associated with antepartum depression, generalized anxiety, and PTSD symptoms among pregnant women. Further characterizations of the associations of these prevalent sleep, mood, and anxiety conditions among pregnant women could aid in evaluating and delivering optimal perinatal care to women with these comorbidities.
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Affiliation(s)
- Elia Rubio
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Elizabeth J Levey
- The Chester M. Pierce, M.D. Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Marta B Rondon
- Department of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Lauren Friedman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sixto E Sanchez
- Asociación Civil Proyectos en Salud (PROESA), Lima, Peru.,Universidad Peruana de Ciencias Aplicadas, Lima, Perú
| | - Michelle A Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. .,The Chester M. Pierce, M.D. Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA. .,Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
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40
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Velez JC, Friedman LE, Barbosa C, Castillo J, Juvinao-Quintero DL, Williams MA, Gelaye B. Evaluating the performance of the Pain Interference Index and the Short Form McGill Pain Questionnaire among Chilean injured working adults. PLoS One 2022; 17:e0268672. [PMID: 35588123 PMCID: PMC9119477 DOI: 10.1371/journal.pone.0268672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 05/05/2022] [Indexed: 11/30/2022] Open
Abstract
Background Chronic pain can lead to economic instability, decreased job productivity, and poor mental health. Therefore, reliable identification and quantification of chronic pain is important for clinical diagnosis and treatment. Objective To determine the psychometric properties of the Spanish language versions of the Pain Interference Index (PII) and the Short Form McGill Pain Questionnaire (SF-MPG) among a population of working adults who experienced injury in Santiago, Chile. Methods A total of 1,975 participants with work-related injuries were interviewed to collect sociodemographic, occupational, and chronic pain characteristics. Construct validity and factorial structure of the PII and SF-MPG were assessed through exploratory factor analyses (EFA). Cronbach’s alpha was used to evaluate internal consistency. Results The PII mean score was 3.84 ± 1.43 among all participants. The SF-MPG median score was 11 [IQR: 6–16] in this study population. Cronbach’s alpha for the PII was 0.90 and 0.87 for the SF-MP. EFA resulted in a one factor solution for the PII. A two-factor solution was found for the SF-MPG. The two-factors for SF-MPG were sensory and affective subscales with Cronbach’s alpha of 0.82 and 0.714, respectively. When the two scales were combined, an EFA analysis confirmed the PII and SF-MPG measure different aspects of chronic pain. Conclusions The PII and SF-MPG had good construct validity and reliability for assessing different aspects of chronic pain among working Chilean adults.
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Affiliation(s)
- Juan Carlos Velez
- Departamento de Rehabilitación, Hospital del Trabajador, Santiago, Chile
| | - Lauren E. Friedman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Clarita Barbosa
- Multidisciplinary International Research Training (MIRT) Program, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Jessica Castillo
- Departamento de Rehabilitación, Hospital del Trabajador, Santiago, Chile
| | - Diana L. Juvinao-Quintero
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Michelle A. Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Multidisciplinary International Research Training (MIRT) Program, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital; Boston, MA, United States of America
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
- * E-mail:
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Bitta M, Thungana Y, Kim HH, Denckla CA, Ametaj A, Yared M, Kwagala C, Ongeri L, Stroud RE, Kwobah E, Koenen KC, Kariuki S, Zingela Z, Akena D, Newton C, Atwoli L, Teferra S, Stein DJ, Gelaye B. Cross-country variations in the reporting of psychotic symptoms among sub-Saharan African adults: A psychometric evaluation of the Psychosis Screening Questionnaire. J Affect Disord 2022; 304:85-92. [PMID: 35183621 PMCID: PMC9036658 DOI: 10.1016/j.jad.2022.02.048] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND Self-reporting of psychotic symptoms varies significantly between cultures and ethnic groups. Yet, limited validated screening instruments are available to capture such differences in the African continent. METHODOLOGY Among 9,059 individuals participating as controls in a multi-country case-control study of the genetic causes of psychosis, we evaluated the psychometric properties of the Psychosis Screening Questionnaire (PSQ). We applied multi-group confirmatory factor analysis and item response theory to assess item parameters. RESULTS The overall positive endorsement of at least one item assessing psychotic symptoms on the PSQ was 9.7%, with variability among countries (Uganda 13.7%, South Africa 11%, Kenya 10.2%, and Ethiopia 2.8%). A unidimensional model demonstrated good fit for the PSQ (root mean square error of approximation = 0.009; comparative fit index = 0.997; and Tucker-Lewis Index = 0.995). Hypomania had the weakest association with single latent factor (standardized factor loading 0.62). Sequential multi-group confirmatory factor analysis demonstrated that PSQ items were measured in equivalent ways across the four countries. PSQ items gave more information at higher levels of psychosis, with hypomania giving the least discriminating information. LIMITATIONS Participants were recruited from general medical facilities, so findings may not be generalizable to the general population. CONCLUSION The PSQ demonstrated a unidimensional factor structure in these samples. Items were measured equivalently across all study settings, suggesting that differences in prevalence of psychotic symptoms between countries were less likely to represent measurement artifact. The PSQ is more reliable in screening for psychosis in individuals with higher degrees of psychotic experiences-hypomania excluded-and might decrease the false-positive rate from mild nonspecific psychotic experiences.
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Affiliation(s)
- Mary Bitta
- Clinical Research-Neurosciences, KEMRI/Wellcome Trust Research Programme, Centre for Geographic Medicine Research (Coast), Kilifi, Kenya; Department of Psychiatry, University of Oxford, Oxford, UK.
| | - Yanga Thungana
- Department of Psychiatry, Walter Sisulu University, Mthatha, South Africa
| | - Hannah H Kim
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Christy A Denckla
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Amantia Ametaj
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Mahlet Yared
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Claire Kwagala
- Department of Psychiatry, Makerere University, Kampala, Uganda
| | - Linnet Ongeri
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rocky E Stroud
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Edith Kwobah
- Department of Mental Health, Moi teaching and Referral Hospital, Eldoret, Kenya
| | - Karestan C Koenen
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Symon Kariuki
- Clinical Research-Neurosciences, KEMRI/Wellcome Trust Research Programme, Centre for Geographic Medicine Research (Coast), Kilifi, Kenya
| | - Zukiswa Zingela
- Department of Psychiatry, Walter Sisulu University, Mthatha, South Africa
| | - Dickens Akena
- Department of Psychiatry, Makerere University, Kampala, Uganda
| | - Charles Newton
- Clinical Research-Neurosciences, KEMRI/Wellcome Trust Research Programme, Centre for Geographic Medicine Research (Coast), Kilifi, Kenya; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Lukoye Atwoli
- Department of Mental Health, Moi teaching and Referral Hospital, Eldoret, Kenya; Medical College East Africa, The Aga Khan University, Nairobi, Kenya
| | - Solomon Teferra
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Dan J Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Bizu Gelaye
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA; The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA
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Prom M, Denduluri A, Byatt N, Rondon M, Borba C, Gelaye B. WEBB FELLOW: A Systematic Review of Perinatal Mental Health Care Interventions in Low- and Middle-Income Countries. J Acad Consult Liaison Psychiatry 2022. [DOI: 10.1016/j.jaclp.2022.03.204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Kwobah EK, Misra S, Ametaj AA, Stevenson A, Stroud RE, Koenen KC, Gelaye B, Kariuki SM, Newton CR, Atwoli L. Traumatic experiences assessed with the life events checklist for Kenyan adults. J Affect Disord 2022; 303:161-167. [PMID: 35167925 PMCID: PMC7612412 DOI: 10.1016/j.jad.2022.02.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 12/23/2021] [Accepted: 02/09/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Life Events Checklist (LEC-5) has been widely used to assess for exposure to potentially traumatic life events (PTEs), but its psychometric properties have not been evaluated in Kenya. The objectives of this study were to determine the frequency and types of PTEs within this setting and to examine the construct validity of LEC-5 in Kenya. METHODS The LEC-5 was administered to 5316 participants in the ongoing multisite case-control study of Neuropsychiatric Genetics of African Populations-Psychosis. We used exploratory factor analysis to assess LEC-5 structure, and conducted confirmatory factor analyses to compare these results with two other models: a six-factor model based on the only prior EFA of the LEC and a theoretical seven-factor model. RESULTS The majority (63.4% overall and 64.4% of cases and 62.4% of controls) of participants had experienced at least one PTE in their lifetime. Results of the exploratory factor analyses for LEC-5 yielded a seven-factor solution with eigenvalues greater than one, accounting for 55.3% of the common variance. Based on confirmatory factor analyses, all three models had good fit for our sample, but the theoretical seven-factor model had the best fit. LIMITATIONS The study did not assess if the participants perceived experiences as traumatic, we did not carry out test retest reliability or and we did not consider cultural variations in perception of trauma. CONCLUSION This study provides evidence of a high prevalence of traumatic life events and for the construct validity of LEC-5 in assessing PTE exposures in a Kenyan setting.
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Affiliation(s)
- Edith Kamaru Kwobah
- Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya.
| | - Supriya Misra
- Department of Public Health, San Francisco State University, San Francisco, CA, USA
| | - Amantia A Ametaj
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Anne Stevenson
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rocky E Stroud
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Symon M Kariuki
- Neuroscience Unit, Kenya Medical Research Institute - Wellcome Trust Research Program, Kilifi, Kenya; Department of Public Health, Pwani University, Kilifi, Kenya; Department of Psychiatry, University of Oxford, United Kingdom
| | - Charles R Newton
- Neuroscience Unit, Kenya Medical Research Institute - Wellcome Trust Research Program, Kilifi, Kenya; Department of Public Health, Pwani University, Kilifi, Kenya; Department of Psychiatry, University of Oxford, United Kingdom
| | - Lukoye Atwoli
- Department of Mental Health, Moi University School of Medicine, Eldoret, Kenya; Brain and Mind Institute and Medical College East Africa, Aga Khan University Nairobi, Kenya
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Masebo TM, Fikadu BK, Mehari E, Gelaye B, Habte A, Mersha TB, Begna K. The need for rigour and balance in reporting the health impacts of conflict in Tigray, Ethiopia. BMJ Glob Health 2022; 7:bmjgh-2021-008263. [PMID: 35361659 PMCID: PMC8971762 DOI: 10.1136/bmjgh-2021-008263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 02/06/2022] [Indexed: 11/28/2022] Open
Affiliation(s)
| | | | | | - Bizu Gelaye
- Harvard Medical School and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | | | - Tesfaye B Mersha
- Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, USA
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Maihofer AX, Choi KW, Coleman JR, Daskalakis NP, Denckla CA, Ketema E, Morey RA, Polimanti R, Ratanatharathorn A, Torres K, Wingo AP, Zai CC, Aiello AE, Almli LM, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegović E, Borglum AD, Babić D, Bækvad-Hansen M, Baker DG, Beckham JC, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Bradley B, Brashear M, Breen G, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Calabrese JR, Caldas-de-Almeida JM, Chen CY, Dale AM, Dalvie S, Deckert J, Delahanty DL, Dennis MF, Disner SG, Domschke K, Duncan LE, Kulenović AD, Erbes CR, Evans A, Farrer LA, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gautam A, Gelaye B, Gelernter J, Geuze E, Gillespie CF, Goçi A, Gordon SD, Guffanti G, Hammamieh R, Hauser MA, Heath AC, Hemmings SM, Hougaard DM, Jakovljević M, Jett M, Johnson EO, Jones I, Jovanovic T, Qin XJ, Karstoft KI, Kaufman ML, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kranzler HR, Kremen WS, Lawford BR, Lebois LA, Lewis C, Liberzon I, Linnstaedt SD, Logue MW, Lori A, Lugonja B, Luykx JJ, Lyons MJ, Maples-Keller JL, Marmar C, Martin NG, Maurer D, Mavissakalian MR, McFarlane A, McGlinchey RE, McLaughlin KA, McLean SA, Mehta D, Mellor R, Michopoulos V, Milberg W, Miller MW, Morris CP, Mors O, Mortensen PB, Nelson EC, Nordentoft M, Norman SB, O’Donnell M, Orcutt HK, Panizzon MS, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Rice JP, Risbrough VB, Roberts AL, Rothbaum AO, Rothbaum BO, Roy-Byrne P, Ruggiero KJ, Rung A, Rutten BP, Saccone NL, Sanchez SE, Schijven D, Seedat S, Seligowski AV, Seng JS, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stevens JS, Teicher MH, Thompson WK, Trapido E, Uddin M, Ursano RJ, van den Heuvel LL, Van Hooff M, Vermetten E, Vinkers C, Voisey J, Wang Y, Wang Z, Werge T, Williams MA, Williamson DE, Winternitz S, Wolf C, Wolf EJ, Yehuda R, Young KA, Young RM, Zhao H, Zoellner LA, Haas M, Lasseter H, Provost AC, Salem RM, Sebat J, Shaffer RA, Wu T, Ripke S, Daly MJ, Ressler KJ, Koenen KC, Stein MB, Nievergelt CM. Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information. Biol Psychiatry 2022; 91:626-636. [PMID: 34865855 PMCID: PMC8917986 DOI: 10.1016/j.biopsych.2021.09.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 08/25/2021] [Accepted: 09/21/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND Posttraumatic stress disorder (PTSD) is heritable and a potential consequence of exposure to traumatic stress. Evidence suggests that a quantitative approach to PTSD phenotype measurement and incorporation of lifetime trauma exposure (LTE) information could enhance the discovery power of PTSD genome-wide association studies (GWASs). METHODS A GWAS on PTSD symptoms was performed in 51 cohorts followed by a fixed-effects meta-analysis (N = 182,199 European ancestry participants). A GWAS of LTE burden was performed in the UK Biobank cohort (N = 132,988). Genetic correlations were evaluated with linkage disequilibrium score regression. Multivariate analysis was performed using Multi-Trait Analysis of GWAS. Functional mapping and annotation of leading loci was performed with FUMA. Replication was evaluated using the Million Veteran Program GWAS of PTSD total symptoms. RESULTS GWASs of PTSD symptoms and LTE burden identified 5 and 6 independent genome-wide significant loci, respectively. There was a 72% genetic correlation between PTSD and LTE. PTSD and LTE showed largely similar patterns of genetic correlation with other traits, albeit with some distinctions. Adjusting PTSD for LTE reduced PTSD heritability by 31%. Multivariate analysis of PTSD and LTE increased the effective sample size of the PTSD GWAS by 20% and identified 4 additional loci. Four of these 9 PTSD loci were independently replicated in the Million Veteran Program. CONCLUSIONS Through using a quantitative trait measure of PTSD, we identified novel risk loci not previously identified using prior case-control analyses. PTSD and LTE have a high genetic overlap that can be leveraged to increase discovery power through multivariate methods.
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Ashi K, Levey E, Friedman LE, Sanchez SE, Williams MA, Gelaye B. Association of morningness-eveningness with psychiatric symptoms among pregnant women. Chronobiol Int 2022; 39:984-990. [PMID: 35296206 DOI: 10.1080/07420528.2022.2053703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
In the present study, we examined associations between circadian preference and psychiatric symptoms among 1,796 pregnant women from Lima, Peru. One quarter were classified as evening types. Compared to morning types, evening type pregnant women had increased odds of generalized anxiety (OR = 1.44; 95%CI: 1.12-1.86) and posttraumatic stress disorder (OR = 1.38; 95%CI: 1.07-1.78). Although there was a positive trend, evening chronotype was not significantly associated with elevated odds of depression (OR = 1.23; 95%CI: 0.94-1.61). Future studies are warranted to help understand the underlying behavioral, biological, and genetic pathways of these associations. Assessing circadian preference may help clinicians identify pregnant women at risk for psychiatric symptoms.
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Affiliation(s)
- Kevin Ashi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Elizabeth Levey
- The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Lauren E Friedman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Sixto E Sanchez
- Asociación Civil Proyectos en Salud (PROESA), Lima, Peru.,Facultad de Medicina, Universidad de San Martin de Porres, Lima, Peru
| | - Michelle A Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
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Abebe LG, Wondimagegnehu A, Woldemariam AA, Gelaye B, Kantelhardt EJ, Addissie A. Validity and Reliability of the Amharic Version of EORTC-QLQ-CR29 Among Colorectal Cancer Patients in Ethiopia. Cancer Manag Res 2022; 13:9287-9295. [PMID: 34992454 PMCID: PMC8710071 DOI: 10.2147/cmar.s343127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 12/01/2021] [Indexed: 12/24/2022] Open
Abstract
Background The European Organization for Research and Treatment of Cancer - Quality of Life Questionnaire (EORTC-QLQ) developed to assess quality of life among colorectal cancer patients has not been translated into a local language or validated in the Ethiopian context. Therefore, this study aimed to examine the psychometric properties of the EORTC-QLQ-CR29 tool in Ethiopia among colorectal cancer patients. Methods A cross-sectional study was conducted in a major referral hospital in Addis Ababa, Ethiopia, from March to May, 2020. A total of 158 colorectal cancer patients were included. The validity of the tool was assessed using Multitrait Scale Analysis, Mann-Whitney test and Pearson correlation coefficient. The internal consistency was examined using Cronbach's alpha. Results Among the participants, 52.2% were men, with a median age of 46 years (IQR = 17.7 years). The item-total correlation alpha values ranged from 0.47 to 0.91. Multitrait Scale Analysis demonstrated convergent and divergent validity of the tool, except for the Blood and Mucus in Stool scale. All item correlations within their scales were greater than 0.4, except for the Blood and Mucus in Stool scale. The values of correlation coefficients between all items and their own domain were higher than other domains, except for the Blood and Mucus in Stool scale. The correlation between the core questionnaire and the colorectal tool ranged from -0.45 to 0.58. The tool showed a significant difference between stoma and non-stoma patients and between patients who had good physical function and those who did not. Conclusion The Amharic version of the EORTC-QLQ-CR29 tool can be used to assess the health-related quality of life in Ethiopian colorectal cancer patients.
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Affiliation(s)
- Lidya Genene Abebe
- Department of Preventive Medicine, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Abigiya Wondimagegnehu
- Department of Preventive Medicine, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.,Institute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University, Halle-Wittenberg, Halle, Germany
| | - Aynalem Abraha Woldemariam
- Department of Oncology and Radiotherapy, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Bizu Gelaye
- Department of Epidemiology, Harvard. T. H. Chan School of Public Health, Boston, MA, USA.,The Chester M. Pierce, M.D. Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Eva Johanna Kantelhardt
- Institute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University, Halle-Wittenberg, Halle, Germany.,Department of Gynaecology, Martin-Luther-University, Halle-Wittenberg, Halle, Germany
| | - Adamu Addissie
- Department of Preventive Medicine, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.,Institute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University, Halle-Wittenberg, Halle, Germany
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Prom MC, Denduluri A, Philpotts LL, Rondon MB, Borba CPC, Gelaye B, Byatt N. A Systematic Review of Interventions That Integrate Perinatal Mental Health Care Into Routine Maternal Care in Low- and Middle-Income Countries. Front Psychiatry 2022; 13:859341. [PMID: 35360136 PMCID: PMC8964099 DOI: 10.3389/fpsyt.2022.859341] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 02/17/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Women in low- and middle-income countries (LMICs) are disproportionally affected by perinatal depression and anxiety and lack access to mental health care. Integrating perinatal mental health care into routine maternal care is recommended to address gaps in access to mental health care in such under-resourced settings. Understanding the effectiveness of interventions that integrate perinatal mental health care into routine maternal care in LMICs is critical to inform ongoing intervention development, implementation, and scale-up. This systematic review aims to assess the effectiveness of interventions that integrate perinatal mental health care into routine maternal care to improve maternal mental health and infant health outcomes in LMICs. METHOD In accordance with the PRISMA guidelines, an electronic database search was conducted seeking publications of controlled trials examining interventions that aimed to integrate perinatal mental health care into routine maternal care in LMICs. Abstracts and full text articles were independently reviewed by two authors for inclusion utilizing Covidence Review Software. Data was extracted and narrative synthesis was conducted. FINDINGS Twenty studies met eligibility criteria from the initial search results of 2,382 unique citations. There was substantial heterogeneity between the study samples, intervention designs, and outcome assessments. Less than half of the studies focused on women with active depression or anxiety. Most studies (85%) implemented single intervention designs involving psychological, psychosocial, psychoeducational, or adjuvant emotion/stress management. There were few interventions utilizing multicomponent approaches, pharmacotherapy, or referral to mental health specialists. Outcome measures and assessment timing were highly variable. Eighteen studies demonstrated significantly greater improvement on depression and/or anxiety measures in the intervention group(s) as compared to control. CONCLUSION Integrated interventions can be effective in LMICs. The findings provide a critical understanding of current interventions design gaps. This includes the lack of comprehensive intervention designs that incorporate increasing intensity of treatment for more severe illness, pharmacotherapy, mental health specialist referrals, and non-mental health professional training and supervision. The findings also provide strategies to overcome design and implementation barriers in LMICs. Study findings provide a foundation for future evidence-based adaptation, implementation, and scale-up of interventions that integrate perinatal mental health care into routine maternal care in LMICs. SYSTEMATIC REVIEW REGISTRATION [https://www.crd.york.ac.uk/prospero/display_ record.php?ID=CRD42021259092], identifier [CRD42021259092].
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Affiliation(s)
- Maria C Prom
- Chester M. Pierce Division of Global Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Amrutha Denduluri
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Lisa L Philpotts
- Treadwell Library, Massachusetts General Hospital, Boston, MA, United States
| | - Marta B Rondon
- Department of Psychiatry, Instituto Nacional Materno Perinatal, Lima, Peru
| | - Christina P C Borba
- Department of Psychiatry, Global and Local Center for Mental Health Disparities, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
| | - Bizu Gelaye
- Chester M. Pierce Division of Global Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Nancy Byatt
- Department of Psychiatry, University of Massachusetts Chan Medical School, UMass Memorial Health Care, Worcester, MA, United States
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Zavala VA, Vidaurre T, Huang X, Casavilca S, Navarro J, Williams MA, Sanchez SE, Gelaye B, Fejerman L. Abstract PO-203: Assessment of previously reported polygenic risk score for breast cancer in Peruvian women. Cancer Epidemiol Biomarkers Prev 2022. [DOI: 10.1158/1538-7755.disp21-po-203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Background: Breast cancer is the most common cancer among women worldwide. Mutations in high and moderate penetrance genes account for ~10% of breast cancer cases. The remaining genetic predisposition is explained by multiple common genetic variants of relatively small effect. Genome-wide association studies in individuals of mostly European and Asian genetic ancestry have identified multiple risk-associated loci which can be combined into a polygenic risk score (PRS) to predict breast cancer. Our aim was to assess the association of a 313 polymorphism-PRS score (313-PRS) previously published and breast cancer risk in women of a relatively high proportion of Indigenous American ancestry from Peru. Methods: Breast cancer patients were recruited at the Instituto Nacional de Enfermedades Neoplásicas in Lima, Peru, to be part of The Peruvian Genetics and Genomics of Breast Cancer Study (PEGEN-BC, N=1,755). Women without a diagnosis of breast cancer from a pregnancy outcomes study conducted in Lima, Peru, were included as ‘convenience' controls (N=3,342). Genome-wide genotype data were available for all women and missing genotypes were imputed using the Michigan Imputation Server including individuals from 1000 Genomes Project phase III as the reference panel. The 313 polymorphisms were extracted from the imputed data set for further analysis without imputation-r2 filter. Logistic regression was used to test the association between standardized PRS residuals (after adjustment for genetic ancestry) and breast cancer risk. Results: The 313-PRS was positively associated with breast cancer risk in women from Lima, Peru. (OR lowest decile vs. intermediate deciles=0.56, 95%CI= 0.44-0.71, p= 0.00001; OR highest decile vs. intermediate deciles=1.58, 95%CI=1.27-1.95, p= 0.000035). Analysis stratified by quartiles of Indigenous American ancestry did not show heterogeneity. AUROC curve analysis showed similar estimates for all quartiles of Indigenous American ancestry ranging from 0.59 (Q1-lowest ancestry) to 0.61 (Q4-highest ancestry). Conclusion: We confirmed the association between the previously published 313-PRS and breast cancer risk in highly Indigenous American women from Peru. The magnitude of the association and AUROC curve were not statistically significantly different by quartiles of Indigenous American ancestry. The similarity in the AUROC curve estimates by ancestry in a study where the highest ancestry quartile (Q4) includes women with more than 91% Indigenous American ancestry suggests that PRS developed in mostly European women could be used in Latin American populations of high Indigenous American ancestry.
Citation Format: Valentina A. Zavala, Tatiana Vidaurre, Xiaosong Huang, Sandro Casavilca, Jeannie Navarro, Michelle A. Williams, Sixto E. Sanchez, Bizu Gelaye, Laura Fejerman. Assessment of previously reported polygenic risk score for breast cancer in Peruvian women [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-203.
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Affiliation(s)
| | | | | | | | - Jeannie Navarro
- 2Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru,
| | | | | | - Bizu Gelaye
- 3Harvard T.H. Chan School of Public Health, Boston, MA,
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Lee SF, Redondo Sánchez D, Sánchez MJ, Gelaye B, Chiang CL, Wong IOL, Cheung DST, Luque Fernandez MA. Trends in gender of authors of original research in oncology among major medical journals: a retrospective bibliometric study. BMJ Open 2021; 11:e046618. [PMID: 34663651 PMCID: PMC8524267 DOI: 10.1136/bmjopen-2020-046618] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE We evaluated the temporal trend in gender ratios of first and last authors in the field of oncological research published in major general medical and oncology journals and examined the gender pattern in coauthorship. DESIGN We conducted a retrospective study in PubMed using the R package RISmed. We retrieved original research articles published in four general medical journals and six oncology specialty journals. These journals were selected based on their impact factors and popularity among oncologists. We identified the names of first and last authors from 1 January 2002 to 31 December 2019. The gender of the authors was identified and validated using the Gender API database (https://gender-api.com/). PRIMARY AND SECONDARY OUTCOME MEASURES The percentages of first and last authors by gender and the gender ratios (male to female) and temporal trends in gender ratios of first and last authors were determined. RESULTS We identified 34 624 research articles, in which 32 452 had the gender of both first and last authors identified. Among these 11 650 (33.6%) had women as the first author and 7908 (22.8%) as the last author, respectively. The proportion of female first and last authors increased from 26.6% and 16.2% in 2002, to 32.9% and 27.5% in 2019, respectively. However, the gender ratio (male to female) of first and last authors decreased by 1.5% and 2.6% per year, respectively, which were statistically significant (first author: incidence rate ratio (IRR) 0.98, 95% CI 0.97 to 1.00; last author: IRR 0.97, 95% CI 0.96 to 0.99). Male first and last authorship was the most common combination. Male-female and female-female pairs increased by 2.0% and 5.0%, respectively (IRR 1.02, 95% CI 1.01 to 1.03 and IRR 1.05, 95% CI 1.04 to 1.06, respectively). CONCLUSIONS The continued under-representation of women means that more efforts to address parity for advancement of women in academic oncology are needed.
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Affiliation(s)
- Shing Fung Lee
- Department of Clinical Oncology, University of Hong Kong, Hong Kong
- Department of Clinical Oncology, Tuen Mun Hospital, Hong Kong
| | - Daniel Redondo Sánchez
- Department of Non-Communicable Disease and Cancer Epidemiology, Instituto de Investigacion Biosanitaria de Granada (ibs.GRANADA), University of Granada, Granada, Spain
- Andalusian School of Public Health, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - María-José Sánchez
- Department of Non-Communicable Disease and Cancer Epidemiology, Instituto de Investigacion Biosanitaria de Granada (ibs.GRANADA), University of Granada, Granada, Spain
- Andalusian School of Public Health, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Bizu Gelaye
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Chi Leung Chiang
- Department of Clinical Oncology, University of Hong Kong, Hong Kong
- Department of Clinical Oncology, Tuen Mun Hospital, Hong Kong
| | | | | | - Miguel Angel Luque Fernandez
- Department of Non-Communicable Disease and Cancer Epidemiology, Instituto de Investigacion Biosanitaria de Granada (ibs.GRANADA), University of Granada, Granada, Spain
- Andalusian School of Public Health, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
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