Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
29355726
TITLE
Pathways to depression by age 16 years: Examining trajectories for self-reported psychological and somatic phenotypes across adolescence.
ABSTRACT
BACKGROUND
Sex differences in rates of depression emerge during adolescence. However, it is unclear whether symptom patterns and trajectories differ significantly according to gender in youth. Barriers to research include the fact that most self-report tools are weighted towards psychological rather than somatic symptoms.
METHODS
Sex differences in rates of depression emerge during adolescence. However, it is unclear whether symptom patterns and trajectories differ significantly according to gender in youth. Barriers to research include the fact that most self-report tools are weighted towards psychological rather than somatic symptoms. Data were collected on symptoms of depression in about 1800 individuals at ages 12, 14 and 16 years. Odds ratios and 95% confidence intervals were used to examine the trajectory of psychological and somatic phenotypes and self-reported depression caseness over time.
RESULTS
Sex differences in rates of depression emerge during adolescence. However, it is unclear whether symptom patterns and trajectories differ significantly according to gender in youth. Barriers to research include the fact that most self-report tools are weighted towards psychological rather than somatic symptoms. Data were collected on symptoms of depression in about 1800 individuals at ages 12, 14 and 16 years. Odds ratios and 95% confidence intervals were used to examine the trajectory of psychological and somatic phenotypes and self-reported depression caseness over time. At age 12, 24% of participants met criteria for self-reported depression caseness. Although there was only a small incremental increase in the prevalence over time (about 5%), 57% of participants met criteria for self-reported depression caseness at least once. Generic symptoms at age 12 were associated with depression longitudinally, although early transition to caseness was reported in females only. Categorization as a psychological phenotype at age 12 predicted depression at age 14 and/or 16 years, especially in females. The somatic phenotype was more common in males, but showed a weaker association with self-reported depression caseness over time.
LIMITATIONS
Sex differences in rates of depression emerge during adolescence. However, it is unclear whether symptom patterns and trajectories differ significantly according to gender in youth. Barriers to research include the fact that most self-report tools are weighted towards psychological rather than somatic symptoms. Data were collected on symptoms of depression in about 1800 individuals at ages 12, 14 and 16 years. Odds ratios and 95% confidence intervals were used to examine the trajectory of psychological and somatic phenotypes and self-reported depression caseness over time. At age 12, 24% of participants met criteria for self-reported depression caseness. Although there was only a small incremental increase in the prevalence over time (about 5%), 57% of participants met criteria for self-reported depression caseness at least once. Generic symptoms at age 12 were associated with depression longitudinally, although early transition to caseness was reported in females only. Categorization as a psychological phenotype at age 12 predicted depression at age 14 and/or 16 years, especially in females. The somatic phenotype was more common in males, but showed a weaker association with self-reported depression caseness over time. Depression was assessed by self-report; only 30% of participants had ratings for age 12, 14 and 16.
CONCLUSIONS
Sex differences in rates of depression emerge during adolescence. However, it is unclear whether symptom patterns and trajectories differ significantly according to gender in youth. Barriers to research include the fact that most self-report tools are weighted towards psychological rather than somatic symptoms. Data were collected on symptoms of depression in about 1800 individuals at ages 12, 14 and 16 years. Odds ratios and 95% confidence intervals were used to examine the trajectory of psychological and somatic phenotypes and self-reported depression caseness over time. At age 12, 24% of participants met criteria for self-reported depression caseness. Although there was only a small incremental increase in the prevalence over time (about 5%), 57% of participants met criteria for self-reported depression caseness at least once. Generic symptoms at age 12 were associated with depression longitudinally, although early transition to caseness was reported in females only. Categorization as a psychological phenotype at age 12 predicted depression at age 14 and/or 16 years, especially in females. The somatic phenotype was more common in males, but showed a weaker association with self-reported depression caseness over time. Depression was assessed by self-report; only 30% of participants had ratings for age 12, 14 and 16. Although sub-threshold psychological and somatic syndromes often co-occur in cases of self-reported depression in adolescence, longitudinally they may represent independent symptom trajectories. However, it is important to remember that self-reported depression is indicative of, but not confirmation of a depressive episode that meets diagnostic criteria.
Copyright © 2017. Published by Elsevier B.V.
DATE PUBLISHED
2018 04 01
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2017/07/26
revised 2017/10/16
accepted 2017/12/03
pubmed 2018/01/23 06:00
medline 2018/09/05 06:00
entrez 2018/01/23 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Scott J Scott Jan J Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK; Brain & Mind Centre, University of Sydney, Sydney, Australia. Electronic address: jan.scott@newcastle.c.uk.
Davenport TA Davenport Tracey A TA Brain & Mind Centre, University of Sydney, Sydney, Australia.
Parker R Parker Richard R QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Hermens DF Hermens Daniel F DF Brain & Mind Centre, University of Sydney, Sydney, Australia.
Lind PA Lind Penelope A PA Queensland Brain Institute, the University of Queensland, Brisbane, Australia.
Medland SE Medland Sarah E SE Centre for Advanced Imaging, the University of Queensland, Brisbane, Australia.
Wright MJ Wright Margaret J MJ Queensland Brain Institute, the University of Queensland, Brisbane, Australia; Centre for Advanced Imaging, the University of Queensland, Brisbane, Australia.
Martin NG Martin Nicholas G NG Queensland Brain Institute, the University of Queensland, Brisbane, Australia.
Gillespie NA Gillespie Nathan A NA Centre for Advanced Imaging, the University of Queensland, Brisbane, Australia; Virginia Institute for Psychiatric and Behavioral Genetics, VCU, Richmond, VA, USA.
Hickie IB Hickie Ian B IB Brain & Mind Centre, University of Sydney, Sydney, Australia.
INVESTIGATORS
JOURNAL
VOLUME: 230
ISSUE:
TITLE: Journal of affective disorders
ISOABBREVIATION: J Affect Disord
YEAR: 2018
MONTH: 04
DAY: 01
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1573-2517
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: J Affect Disord
COUNTRY: Netherlands
ISSNLINKING: 0165-0327
NLMUNIQUEID: 7906073
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, Non-U.S. Gov't
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
KEYWORD
Depression
Gender
Longitudinal
Phenotypes
Psychological
Self-report
Somatic
Sub-threshold
Trajectories
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Adolescent
Age Factors
Child
Confidence Intervals
Depression psychology
Diagnostic Self Evaluation psychology
Female psychology
Humans psychology
Male psychology
Odds Ratio psychology
Phenotype psychology
Prevalence psychology
Self Report psychology
Sex Factors psychology
Time Factors psychology
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's