Trajectories in depressive symptoms and midlife brain health
Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in mi...
Uloženo v:
| Vydáno v: | Translational psychiatry Ročník 14; číslo 1; s. 169 - 7 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London
Nature Publishing Group UK
29.03.2024
Nature Publishing Group |
| Témata: | |
| ISSN: | 2158-3188, 2158-3188 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in midlife. This study includes 3944 Black and White participants (ages 26−45 years at baseline) from the Coronary Artery Risk Development in Young Adults (CARDIA) study with 20 years of follow-up. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale at five time points over 20 years. Growth mixture modeling (GMM) was used to identify depressive symptom trajectories. Participants completed a neuropsychological battery 20 years after baseline, including the Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop Test, Montreal Cognitive Assessment (MoCA), and category and letter fluency tests. A sub-sample of participants (
n
= 662) underwent brain magnetic resonance imaging (MRI) to characterize gray matter volumes and white matter hyperintensities (WMHs). We identified four classes of depressive symptom trajectories: a “declining” class (
n
= 286, 7.3%) with initially high symptoms and subsequent decline, a class with consistently high symptoms (“steady high”;
n
= 264, 6.7%), a class with late increases in symptoms (“increasing”;
n
= 277, 7%), and a class with consistently low symptoms (“steady low”;
n
= 3117, 79.0%). The steady high and the increasing classes had poorer performance on all cognitive tests, while the declining class had poorer performance on the DSST, verbal fluency, and MoCA. Compared to the steady low symptom class, the steady high class had lower volumes in the entorhinal cortex (β: −180.80, 95% CI: −336.69 to −24.91) and the amygdala (β: −40.97, 95% CI: −74.09 to −7.85), the increasing class had more WMHs (β: 0.55, 95% CI: 0.22 to 0.89), and the declining class was not significantly different in any brain measures. Trajectories in depressive symptoms in young to mid-adulthood show distinct cognitive and brain phenotypes in midlife. Steady high depressive symptoms may represent a group that is at risk for dementia, whereas increasing symptoms in midlife may be associated with white matter damage. |
|---|---|
| AbstractList | Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in midlife. This study includes 3944 Black and White participants (ages 26-45 years at baseline) from the Coronary Artery Risk Development in Young Adults (CARDIA) study with 20 years of follow-up. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale at five time points over 20 years. Growth mixture modeling (GMM) was used to identify depressive symptom trajectories. Participants completed a neuropsychological battery 20 years after baseline, including the Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop Test, Montreal Cognitive Assessment (MoCA), and category and letter fluency tests. A sub-sample of participants (n = 662) underwent brain magnetic resonance imaging (MRI) to characterize gray matter volumes and white matter hyperintensities (WMHs). We identified four classes of depressive symptom trajectories: a "declining" class (n = 286, 7.3%) with initially high symptoms and subsequent decline, a class with consistently high symptoms ("steady high"; n = 264, 6.7%), a class with late increases in symptoms ("increasing"; n = 277, 7%), and a class with consistently low symptoms ("steady low"; n = 3117, 79.0%). The steady high and the increasing classes had poorer performance on all cognitive tests, while the declining class had poorer performance on the DSST, verbal fluency, and MoCA. Compared to the steady low symptom class, the steady high class had lower volumes in the entorhinal cortex (β: -180.80, 95% CI: -336.69 to -24.91) and the amygdala (β: -40.97, 95% CI: -74.09 to -7.85), the increasing class had more WMHs (β: 0.55, 95% CI: 0.22 to 0.89), and the declining class was not significantly different in any brain measures. Trajectories in depressive symptoms in young to mid-adulthood show distinct cognitive and brain phenotypes in midlife. Steady high depressive symptoms may represent a group that is at risk for dementia, whereas increasing symptoms in midlife may be associated with white matter damage. Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in midlife. This study includes 3944 Black and White participants (ages 26−45 years at baseline) from the Coronary Artery Risk Development in Young Adults (CARDIA) study with 20 years of follow-up. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale at five time points over 20 years. Growth mixture modeling (GMM) was used to identify depressive symptom trajectories. Participants completed a neuropsychological battery 20 years after baseline, including the Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop Test, Montreal Cognitive Assessment (MoCA), and category and letter fluency tests. A sub-sample of participants (n = 662) underwent brain magnetic resonance imaging (MRI) to characterize gray matter volumes and white matter hyperintensities (WMHs). We identified four classes of depressive symptom trajectories: a “declining” class (n = 286, 7.3%) with initially high symptoms and subsequent decline, a class with consistently high symptoms (“steady high”; n = 264, 6.7%), a class with late increases in symptoms (“increasing”; n = 277, 7%), and a class with consistently low symptoms (“steady low”; n = 3117, 79.0%). The steady high and the increasing classes had poorer performance on all cognitive tests, while the declining class had poorer performance on the DSST, verbal fluency, and MoCA. Compared to the steady low symptom class, the steady high class had lower volumes in the entorhinal cortex (β: −180.80, 95% CI: −336.69 to −24.91) and the amygdala (β: −40.97, 95% CI: −74.09 to −7.85), the increasing class had more WMHs (β: 0.55, 95% CI: 0.22 to 0.89), and the declining class was not significantly different in any brain measures. Trajectories in depressive symptoms in young to mid-adulthood show distinct cognitive and brain phenotypes in midlife. Steady high depressive symptoms may represent a group that is at risk for dementia, whereas increasing symptoms in midlife may be associated with white matter damage. Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in midlife. This study includes 3944 Black and White participants (ages 26−45 years at baseline) from the Coronary Artery Risk Development in Young Adults (CARDIA) study with 20 years of follow-up. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale at five time points over 20 years. Growth mixture modeling (GMM) was used to identify depressive symptom trajectories. Participants completed a neuropsychological battery 20 years after baseline, including the Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop Test, Montreal Cognitive Assessment (MoCA), and category and letter fluency tests. A sub-sample of participants ( n = 662) underwent brain magnetic resonance imaging (MRI) to characterize gray matter volumes and white matter hyperintensities (WMHs). We identified four classes of depressive symptom trajectories: a “declining” class ( n = 286, 7.3%) with initially high symptoms and subsequent decline, a class with consistently high symptoms (“steady high”; n = 264, 6.7%), a class with late increases in symptoms (“increasing”; n = 277, 7%), and a class with consistently low symptoms (“steady low”; n = 3117, 79.0%). The steady high and the increasing classes had poorer performance on all cognitive tests, while the declining class had poorer performance on the DSST, verbal fluency, and MoCA. Compared to the steady low symptom class, the steady high class had lower volumes in the entorhinal cortex (β: −180.80, 95% CI: −336.69 to −24.91) and the amygdala (β: −40.97, 95% CI: −74.09 to −7.85), the increasing class had more WMHs (β: 0.55, 95% CI: 0.22 to 0.89), and the declining class was not significantly different in any brain measures. Trajectories in depressive symptoms in young to mid-adulthood show distinct cognitive and brain phenotypes in midlife. Steady high depressive symptoms may represent a group that is at risk for dementia, whereas increasing symptoms in midlife may be associated with white matter damage. Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in midlife. This study includes 3944 Black and White participants (ages 26-45 years at baseline) from the Coronary Artery Risk Development in Young Adults (CARDIA) study with 20 years of follow-up. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale at five time points over 20 years. Growth mixture modeling (GMM) was used to identify depressive symptom trajectories. Participants completed a neuropsychological battery 20 years after baseline, including the Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop Test, Montreal Cognitive Assessment (MoCA), and category and letter fluency tests. A sub-sample of participants (n = 662) underwent brain magnetic resonance imaging (MRI) to characterize gray matter volumes and white matter hyperintensities (WMHs). We identified four classes of depressive symptom trajectories: a "declining" class (n = 286, 7.3%) with initially high symptoms and subsequent decline, a class with consistently high symptoms ("steady high"; n = 264, 6.7%), a class with late increases in symptoms ("increasing"; n = 277, 7%), and a class with consistently low symptoms ("steady low"; n = 3117, 79.0%). The steady high and the increasing classes had poorer performance on all cognitive tests, while the declining class had poorer performance on the DSST, verbal fluency, and MoCA. Compared to the steady low symptom class, the steady high class had lower volumes in the entorhinal cortex (β: -180.80, 95% CI: -336.69 to -24.91) and the amygdala (β: -40.97, 95% CI: -74.09 to -7.85), the increasing class had more WMHs (β: 0.55, 95% CI: 0.22 to 0.89), and the declining class was not significantly different in any brain measures. Trajectories in depressive symptoms in young to mid-adulthood show distinct cognitive and brain phenotypes in midlife. Steady high depressive symptoms may represent a group that is at risk for dementia, whereas increasing symptoms in midlife may be associated with white matter damage.Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in midlife. This study includes 3944 Black and White participants (ages 26-45 years at baseline) from the Coronary Artery Risk Development in Young Adults (CARDIA) study with 20 years of follow-up. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale at five time points over 20 years. Growth mixture modeling (GMM) was used to identify depressive symptom trajectories. Participants completed a neuropsychological battery 20 years after baseline, including the Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop Test, Montreal Cognitive Assessment (MoCA), and category and letter fluency tests. A sub-sample of participants (n = 662) underwent brain magnetic resonance imaging (MRI) to characterize gray matter volumes and white matter hyperintensities (WMHs). We identified four classes of depressive symptom trajectories: a "declining" class (n = 286, 7.3%) with initially high symptoms and subsequent decline, a class with consistently high symptoms ("steady high"; n = 264, 6.7%), a class with late increases in symptoms ("increasing"; n = 277, 7%), and a class with consistently low symptoms ("steady low"; n = 3117, 79.0%). The steady high and the increasing classes had poorer performance on all cognitive tests, while the declining class had poorer performance on the DSST, verbal fluency, and MoCA. Compared to the steady low symptom class, the steady high class had lower volumes in the entorhinal cortex (β: -180.80, 95% CI: -336.69 to -24.91) and the amygdala (β: -40.97, 95% CI: -74.09 to -7.85), the increasing class had more WMHs (β: 0.55, 95% CI: 0.22 to 0.89), and the declining class was not significantly different in any brain measures. Trajectories in depressive symptoms in young to mid-adulthood show distinct cognitive and brain phenotypes in midlife. Steady high depressive symptoms may represent a group that is at risk for dementia, whereas increasing symptoms in midlife may be associated with white matter damage. Abstract Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in midlife. This study includes 3944 Black and White participants (ages 26−45 years at baseline) from the Coronary Artery Risk Development in Young Adults (CARDIA) study with 20 years of follow-up. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale at five time points over 20 years. Growth mixture modeling (GMM) was used to identify depressive symptom trajectories. Participants completed a neuropsychological battery 20 years after baseline, including the Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop Test, Montreal Cognitive Assessment (MoCA), and category and letter fluency tests. A sub-sample of participants (n = 662) underwent brain magnetic resonance imaging (MRI) to characterize gray matter volumes and white matter hyperintensities (WMHs). We identified four classes of depressive symptom trajectories: a “declining” class (n = 286, 7.3%) with initially high symptoms and subsequent decline, a class with consistently high symptoms (“steady high”; n = 264, 6.7%), a class with late increases in symptoms (“increasing”; n = 277, 7%), and a class with consistently low symptoms (“steady low”; n = 3117, 79.0%). The steady high and the increasing classes had poorer performance on all cognitive tests, while the declining class had poorer performance on the DSST, verbal fluency, and MoCA. Compared to the steady low symptom class, the steady high class had lower volumes in the entorhinal cortex (β: −180.80, 95% CI: −336.69 to −24.91) and the amygdala (β: −40.97, 95% CI: −74.09 to −7.85), the increasing class had more WMHs (β: 0.55, 95% CI: 0.22 to 0.89), and the declining class was not significantly different in any brain measures. Trajectories in depressive symptoms in young to mid-adulthood show distinct cognitive and brain phenotypes in midlife. Steady high depressive symptoms may represent a group that is at risk for dementia, whereas increasing symptoms in midlife may be associated with white matter damage. |
| ArticleNumber | 169 |
| Author | Habes, Mohamad Dintica, Christina S. Yaffe, Kristine Launer, Lenore J. Schreiner, Pamela J. |
| Author_xml | – sequence: 1 givenname: Christina S. surname: Dintica fullname: Dintica, Christina S. email: christina.dintica@ucsf.edu organization: Department of Psychiatry and Behavioral Sciences, University of California, San Francisco – sequence: 2 givenname: Mohamad orcidid: 0000-0001-9447-5805 surname: Habes fullname: Habes, Mohamad organization: Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA) – sequence: 3 givenname: Pamela J. surname: Schreiner fullname: Schreiner, Pamela J. organization: Division of Epidemiology & Community Health, University of Minnesota – sequence: 4 givenname: Lenore J. orcidid: 0000-0002-3238-7612 surname: Launer fullname: Launer, Lenore J. organization: National Institute on Aging – sequence: 5 givenname: Kristine surname: Yaffe fullname: Yaffe, Kristine organization: Department of Psychiatry and Behavioral Sciences, University of California, San Francisco |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38553474$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kU9rFTEUxYNUbH32C7iQATduRvN3kgE3UtQWCm7qOtxJbto8ZibPZJ7Qb9-8Tq2liwYuCeF3zr3JeUuO5jQjIe8Z_cyoMF-KZKI3LeWyljGi5a_ICWfKtIIZc_TkfExOS9nSupQ0TLM35FgYpYTU8oR8vcqwRbekHLE0cW487jKWEv9iU26n3ZKm0sDsmyn6MQZshgyVukEYl5t35HWAseDpw74hv398vzo7by9__bw4-3bZOmnU0jodGPUYtAfRDwZUB1xr5ZXBXgfKg-aMdb5nYeBiGBynNATlPBg3BIpUbMjF6usTbO0uxwnyrU0Q7f1FytcW8hLdiFZr2vEOGHIjJdW057xD4wGNkhyYrF6fVq9dTn_2WBY7xeJwHGHGtC9WUM6VllLxin58hm7TPs_1pZViijJxqA358EDthwn943j__rgCfAVcTqVkDI8Io_aQpV2ztDVLe5-lPfQ2z0QuLrDENC81gPFlqVilpfaZrzH_H_sF1R2da7A9 |
| CitedBy_id | crossref_primary_10_1177_13872877251343319 |
| Cites_doi | 10.1109/TMI.2002.803111 10.1016/j.jad.2015.12.030 10.1016/0895-4356(88)90080-7 10.1111/j.1467-6494.2004.00300.x 10.1016/j.jpsychires.2022.12.018 10.1037/0096-3445.121.1.12 10.1016/j.biopsych.2021.11.025 10.1001/jamapsychiatry.2017.0660 10.3389/fnagi.2018.00040 10.1212/WNL.0000000000007243 10.1109/TMI.2010.2046908 10.1002/alz.12303 10.1016/j.jpsychires.2020.09.005 10.1097/00004728-199809000-00030 10.1016/j.acra.2013.09.010 10.1093/ageing/afab191 10.1016/j.neuroimage.2015.11.073 10.1523/JNEUROSCI.05-05-01222.1985 10.1002/ana.23836 10.1136/jnnp.2007.124651 10.1001/jamapsychiatry.2016.0004 10.1016/j.ejphar.2009.08.046 10.3233/JAD-210588 10.1038/nrneurol.2011.60 10.1177/014662167700100306 10.1001/jamapsychiatry.2016.3162 10.1038/s41398-019-0514-6 10.1111/ggi.12901 10.1038/tp.2017.90 10.1038/s41598-019-44158-7 10.1001/jamapsychiatry.2015.2468 10.1016/S2215-0366(16)00097-3 10.1016/j.jad.2022.09.164 10.1016/S0749-3797(98)00017-8 10.1038/mp.2013.20 10.1371/journal.pone.0122138 10.1017/S003329172200112X |
| ContentType | Journal Article |
| Copyright | The Author(s) 2024 2024. The Author(s). The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2024 – notice: 2024. The Author(s). – notice: The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 DOA |
| DOI | 10.1038/s41398-024-02883-2 |
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Health & Medical Collection (ProQuest) ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central ProQuest Central Essentials - QC ProQuest Central ProQuest One Community College ProQuest Central ProQuest Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) Health & Medical Collection (Alumni) Medical Database ProQuest Central Premium ProQuest One Academic ProQuest Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE Publicly Available Content Database CrossRef MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 2158-3188 |
| EndPage | 7 |
| ExternalDocumentID | oai_doaj_org_article_770626a1e28440709226e8dae8542a14 38553474 10_1038_s41398_024_02883_2 |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) grantid: R35AG071916 funderid: https://doi.org/10.13039/100000049 – fundername: Alzheimer’s Association grantid: AARF-21-851960 funderid: https://doi.org/10.13039/100000957 – fundername: NIA NIH HHS grantid: R01 AG085571 – fundername: NIA NIH HHS grantid: R35 AG071916 – fundername: NIA NIH HHS grantid: R01 AG083865 – fundername: NIA NIH HHS grantid: R01 AG063887 – fundername: NIA NIH HHS grantid: R01 AG080821 – fundername: Alzheimer's Association grantid: AARF-21-851960 |
| GroupedDBID | --- 0R~ 3V. 53G 5VS 7X7 88E 8FI 8FJ AAJSJ AAKDD ABUWG ACGFO ACGFS ACMJI ACSMW ADBBV ADFRT AENEX AFKRA AHMBA AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS AMTXH AOIJS BAWUL BCNDV BENPR BPHCQ BVXVI C6C CCPQU DIK EBLON EBS EMOBN FYUFA GROUPED_DOAJ GX1 HMCUK HYE KQ8 LGEZI LOTEE M1P M~E NADUK NAO NXXTH OK1 PIMPY PQQKQ PROAC PSQYO RNS RNT RNTTT RPM SNYQT UKHRP AASML AAYXX AFFHD CITATION PHGZM PHGZT PJZUB PPXIY AARCD CGR CUY CVF ECM EIF NPM 7XB 8FK AZQEC DWQXO K9. PKEHL PQEST PQUKI PRINS 7X8 PUEGO |
| ID | FETCH-LOGICAL-c485t-c7f10def7da39b8a56a2775d58e97f02f72116d91fb23bbc200ff5cda8cbf0e03 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 3 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001195169800002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2158-3188 |
| IngestDate | Fri Oct 03 12:51:28 EDT 2025 Fri Sep 05 10:10:59 EDT 2025 Tue Oct 07 07:13:59 EDT 2025 Sun Aug 03 01:52:37 EDT 2025 Sat Nov 29 02:05:54 EST 2025 Tue Nov 18 21:36:30 EST 2025 Fri Feb 21 02:38:57 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | 2024. The Author(s). |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c485t-c7f10def7da39b8a56a2775d58e97f02f72116d91fb23bbc200ff5cda8cbf0e03 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0002-3238-7612 0000-0001-9447-5805 |
| OpenAccessLink | https://doaj.org/article/770626a1e28440709226e8dae8542a14 |
| PMID | 38553474 |
| PQID | 3015013501 |
| PQPubID | 2041978 |
| PageCount | 7 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_770626a1e28440709226e8dae8542a14 proquest_miscellaneous_3022574452 proquest_journals_3015013501 pubmed_primary_38553474 crossref_primary_10_1038_s41398_024_02883_2 crossref_citationtrail_10_1038_s41398_024_02883_2 springer_journals_10_1038_s41398_024_02883_2 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-03-29 |
| PublicationDateYYYYMMDD | 2024-03-29 |
| PublicationDate_xml | – month: 03 year: 2024 text: 2024-03-29 day: 29 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: United States |
| PublicationTitle | Translational psychiatry |
| PublicationTitleAbbrev | Transl Psychiatry |
| PublicationTitleAlternate | Transl Psychiatry |
| PublicationYear | 2024 |
| Publisher | Nature Publishing Group UK Nature Publishing Group |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group |
| References | Livingston, Sommerlad, Orgeta, Huntley, Ames, Ballard (CR2) 2017; 6736 Doshi, Erus, Ou, Gaonkar, Davatzikos (CR16) 2013; 20 Zacharaki, Kanterakis, Bryan, Davatzikos (CR14) 2008; 11 Singh-Manoux, Dugravot, Fournier, Abell, Ebmeier, Kivimäki (CR5) 2017; 74 Kaup, Byers, Falvey, Zhong, Wu, Blumenthal (CR28) 2016; 73 CR36 Taylor, Lerner, Sage, Lehman, Seeman (CR23) 2004; 72 CR11 Harerimana, Liu, Gerasimov, Duong, Beach, Reiman (CR37) 2022; 92 Zhu, Li, Xie, Zhong, Wu, Blumenthal (CR27) 2022; 51 Demnitz, Anatürk, Allan, Filippini, Griffanti, Mackay (CR31) 2020; 131 Brenowitz, Zeki Al Hazzouri, Vittinghoff, Golden, Fitzpatrick AL, Yaffe (CR39) 2021; 83 Alexopoulos (CR1) 2019; 9 Tustison, Avants, Cook, Zheng, Egan, Yushkevich (CR15) 2010; 29 Goldszal, Davatzikos, Pham, Yan, Bryan, Resnick (CR12) 1998; 22 Hoang, Reis, Zhu, Jacobs, Launer, Whitmer (CR19) 2016; 73 Marazziti, Consoli, Picchetti, Carlini, Faravelli (CR24) 2010; 626 Ismail, Elbayoumi, Fischer, Hogan, Millikin, Schweizer (CR32) 2017; 74 Byers, Yaffe (CR29) 2011; 7 Doshi, Erus, Ou, Resnick, Gur, Guret (CR17) 2016; 127 O’Shea, Dotson, Woods, Porges, Williamson, O’Shea (CR35) 2018; 10 Sapolsky, Krey, McEwen (CR25) 1985; 5 Taylor, Aizenstein, Alexopoulos (CR30) 2013; 18 Yang, Li, Pan, Yang, Song, Qi (CR38) 2021; 17 Felitti, Anda, Nordenberg, Williamson, Spitz, Edwards (CR22) 1998; 14 Almeida, Hankey, Yeap, Golledge, Flicker (CR6) 2017; 7 Radloff (CR10) 1977; 1 Choi, Han, Jeon, Jang, Kim, Park (CR26) 2019; 9 Reis, Loria, Launer, Sidney, Liu, Jacobs (CR21) 2013; 73 Dintica, Habes, Erus, Simone, Schreiner, Yaffe (CR8) 2023; 320 MacLeod (CR18) 1992; 121 Mirza, Wolters, Swanson, Koudstaal, Hofman, Tiemeier (CR4) 2016; 3 Schuurmans, Lamballais, Zou, Muetzel, Hillegers, Cecil (CR33) 2023; 158 McEvoy, Hoang, Sidney, Steffen, Jacobs, Shikany (CR20) 2019; 92 Musliner, Munk-Olsen, Eaton, Zandi (CR3) 2016; 192 Herrmann, Le Masurier, Ebmeier (CR7) 2007; 79 Dinggang Shen, Davatzikos (CR13) 2002; 21 Friedman, Cutter, Donahue, Hughes, Hulley, Jacobs (CR9) 1988; 41 Szymkowicz, McLaren, O’Shea, Woods, Anton, Dotson (CR34) 2017; 17 SS Mirza (2883_CR4) 2016; 3 W Yang (2883_CR38) 2021; 17 DM O’Shea (2883_CR35) 2018; 10 D Marazziti (2883_CR24) 2010; 626 WD Brenowitz (2883_CR39) 2021; 83 G Livingston (2883_CR2) 2017; 6736 KL Musliner (2883_CR3) 2016; 192 2883_CR36 AF Goldszal (2883_CR12) 1998; 22 EI Zacharaki (2883_CR14) 2008; 11 OP Almeida (2883_CR6) 2017; 7 R Sapolsky (2883_CR25) 1985; 5 Dinggang Shen (2883_CR13) 2002; 21 SE Taylor (2883_CR23) 2004; 72 2883_CR11 J Doshi (2883_CR17) 2016; 127 LL Herrmann (2883_CR7) 2007; 79 AL Byers (2883_CR29) 2011; 7 A Singh-Manoux (2883_CR5) 2017; 74 Z Ismail (2883_CR32) 2017; 74 TD Hoang (2883_CR19) 2016; 73 JP Reis (2883_CR21) 2013; 73 GD Friedman (2883_CR9) 1988; 41 Y Zhu (2883_CR27) 2022; 51 NJ Tustison (2883_CR15) 2010; 29 WD Taylor (2883_CR30) 2013; 18 AR Kaup (2883_CR28) 2016; 73 N Demnitz (2883_CR31) 2020; 131 CM MacLeod (2883_CR18) 1992; 121 VJ Felitti (2883_CR22) 1998; 14 CS Dintica (2883_CR8) 2023; 320 CT McEvoy (2883_CR20) 2019; 92 LS Radloff (2883_CR10) 1977; 1 SM Szymkowicz (2883_CR34) 2017; 17 NV Harerimana (2883_CR37) 2022; 92 GS Alexopoulos (2883_CR1) 2019; 9 J Doshi (2883_CR16) 2013; 20 IK Schuurmans (2883_CR33) 2023; 158 DW Choi (2883_CR26) 2019; 9 |
| References_xml | – volume: 21 start-page: 1421 year: 2002 end-page: 39 ident: CR13 article-title: HAMMER: hierarchical attribute matching mechanism for elastic registration publication-title: IEEE Trans Med Imaging. doi: 10.1109/TMI.2002.803111 – volume: 192 start-page: 199 year: 2016 end-page: 211 ident: CR3 article-title: Heterogeneity in long-term trajectories of depressive symptoms: Patterns, predictors and outcomes publication-title: J Affect Disord. doi: 10.1016/j.jad.2015.12.030 – volume: 41 start-page: 1105 year: 1988 end-page: 16 ident: CR9 article-title: Cardia: study design, recruitment, and some characteristics of the examined subjects publication-title: J Clin Epidemiol. doi: 10.1016/0895-4356(88)90080-7 – volume: 72 start-page: 1365 year: 2004 end-page: 94 ident: CR23 article-title: Early environment, emotions, responses to stress, and health publication-title: J Person. doi: 10.1111/j.1467-6494.2004.00300.x – volume: 158 start-page: 126 year: 2023 end-page: 33 ident: CR33 article-title: 10-Year trajectories of depressive symptoms and subsequent brain health in middle-aged adults publication-title: J Psychiatr Res. doi: 10.1016/j.jpsychires.2022.12.018 – volume: 121 start-page: 12 year: 1992 end-page: 14 ident: CR18 article-title: The Stroop task: the “gold standard” of attentional measures publication-title: J Exp Psychol Gen. doi: 10.1037/0096-3445.121.1.12 – volume: 92 start-page: 25 year: 2022 end-page: 33 ident: CR37 article-title: Genetic evidence supporting a causal role of depression in alzheimer’s disease publication-title: Biol Psychiatry. doi: 10.1016/j.biopsych.2021.11.025 – volume: 74 start-page: 712 year: 2017 ident: CR5 article-title: Trajectories of depressive symptoms before diagnosis of dementia: a 28-year follow-up study publication-title: JAMA Psychiatry. doi: 10.1001/jamapsychiatry.2017.0660 – volume: 10 start-page: 40 year: 2018 ident: CR35 article-title: Depressive symptom dimensions and their association with hippocampal and entorhinal cortex volumes in community dwelling older adults publication-title: Front Aging Neurosci. doi: 10.3389/fnagi.2018.00040 – volume: 92 start-page: e1589 year: 2019 end-page: 99 ident: CR20 article-title: Dietary patterns during adulthood and cognitive performance in midlife publication-title: Neurology. doi: 10.1212/WNL.0000000000007243 – volume: 29 start-page: 1310 year: 2010 end-page: 20 ident: CR15 article-title: N4ITK: improved N3 bias correction publication-title: IEEE Trans Med Imaging. doi: 10.1109/TMI.2010.2046908 – volume: 17 start-page: 1383 year: 2021 end-page: 90 ident: CR38 article-title: Association of life‐course depression with the risk of dementia in late life: a nationwide twin study publication-title: Alzheimers Dement. doi: 10.1002/alz.12303 – volume: 131 start-page: 85 year: 2020 end-page: 93 ident: CR31 article-title: Association of trajectories of depressive symptoms with vascular risk, cognitive function and adverse brain outcomes: the Whitehall II MRI sub-study publication-title: J Psychiatr Res. doi: 10.1016/j.jpsychires.2020.09.005 – volume: 22 start-page: 827 year: 1998 end-page: 37 ident: CR12 article-title: An Image-processing system for qualitative and quantitative volumetric analysis of brain images publication-title: J Comput Assist Tomogr. doi: 10.1097/00004728-199809000-00030 – volume: 11 start-page: 620 year: 2008 end-page: 7 ident: CR14 article-title: Measuring brain lesion progression with a supervised tissue classification system publication-title: Med Image Comput Comput Assist Interv. – volume: 20 start-page: 1566 year: 2013 end-page: 76 ident: CR16 article-title: Multi-atlas skull-stripping publication-title: Acad Radiol. doi: 10.1016/j.acra.2013.09.010 – volume: 6736 start-page: 17 year: 2017 ident: CR2 article-title: Dementia prevention, intervention, and care publication-title: Lancet. – volume: 51 start-page: afab191 year: 2022 ident: CR27 article-title: Trajectories of depressive symptoms and subsequent cognitive decline in older adults: a pooled analysis of two longitudinal cohorts publication-title: Age Ageing doi: 10.1093/ageing/afab191 – volume: 127 start-page: 186 year: 2016 end-page: 95 ident: CR17 article-title: MUSE: MUlti-atlas region segmentation utilizing ensembles of registration algorithms and parameters, and locally optimal atlas selection publication-title: NeuroImage. doi: 10.1016/j.neuroimage.2015.11.073 – volume: 5 start-page: 1222 year: 1985 end-page: 7 ident: CR25 article-title: Prolonged glucocorticoid exposure reduces hippocampal neuron number: implications for aging publication-title: J Neurosci. doi: 10.1523/JNEUROSCI.05-05-01222.1985 – volume: 73 start-page: 170 year: 2013 end-page: 9 ident: CR21 article-title: Cardiovascular health through young adulthood and cognitive functioning in midlife publication-title: Ann Neurol. doi: 10.1002/ana.23836 – volume: 79 start-page: 619 year: 2007 end-page: 24 ident: CR7 article-title: White matter hyperintensities in late life depression: a systematic review publication-title: J Neurol Neurosurg Psychiatry. doi: 10.1136/jnnp.2007.124651 – volume: 73 start-page: 525 year: 2016 end-page: 31 ident: CR28 article-title: Trajectories of depressive symptoms in older adults and risk of dementia publication-title: JAMA Psychiatry doi: 10.1001/jamapsychiatry.2016.0004 – volume: 626 start-page: 83 year: 2010 end-page: 86 ident: CR24 article-title: Cognitive impairment in major depression publication-title: Eur J Pharmacol. doi: 10.1016/j.ejphar.2009.08.046 – volume: 83 start-page: 1379 year: 2021 end-page: 89 ident: CR39 article-title: Depressive symptoms imputed across the life course are associated with cognitive impairment and cognitive decline publication-title: J Alzheimers Dis. doi: 10.3233/JAD-210588 – volume: 7 start-page: 323 year: 2011 end-page: 31 ident: CR29 article-title: Depression and risk of developing dementia publication-title: Nat Rev Neurol doi: 10.1038/nrneurol.2011.60 – volume: 1 start-page: 385 year: 1977 end-page: 401 ident: CR10 article-title: The CES-D Scale publication-title: Appl Psychol Meas. doi: 10.1177/014662167700100306 – volume: 74 start-page: 58 year: 2017 ident: CR32 article-title: Prevalence of depression in patients with mild cognitive impairment: a systematic review and meta-analysis publication-title: JAMA Psychiatry. doi: 10.1001/jamapsychiatry.2016.3162 – volume: 9 year: 2019 ident: CR1 article-title: Mechanisms and treatment of late-life depression publication-title: Transl Psychiatry. doi: 10.1038/s41398-019-0514-6 – volume: 17 start-page: 1494 year: 2017 end-page: 1500 ident: CR34 article-title: Depressive symptoms modify age effects on hippocampal subfields in older adults publication-title: Geriatr Gerontol Int. doi: 10.1111/ggi.12901 – ident: CR11 – volume: 7 start-page: e1117 year: 2017 end-page: e1117 ident: CR6 article-title: Depression as a modifiable factor to decrease the risk of dementia publication-title: Transl Psychiatry. doi: 10.1038/tp.2017.90 – ident: CR36 – volume: 9 year: 2019 ident: CR26 article-title: Association between depressive-symptom trajectories and cognitive function in the late middle-aged and older population: results of the Korean Longitudinal Study of Ageing publication-title: Sci Rep. doi: 10.1038/s41598-019-44158-7 – volume: 73 start-page: 73 year: 2016 ident: CR19 article-title: Effect of early adult patterns of physical activity and television viewing on midlife cognitive function publication-title: JAMA Psychiatry. doi: 10.1001/jamapsychiatry.2015.2468 – volume: 3 start-page: 628 year: 2016 end-page: 35 ident: CR4 article-title: 10-year trajectories of depressive symptoms and risk of dementia: a population-based study publication-title: Lancet Psychiatry. doi: 10.1016/S2215-0366(16)00097-3 – volume: 320 start-page: 436 year: 2023 end-page: 41 ident: CR8 article-title: Long-term depressive symptoms and midlife brain age publication-title: J Affect Disord. doi: 10.1016/j.jad.2022.09.164 – volume: 14 start-page: 245 year: 1998 end-page: 58 ident: CR22 article-title: Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: the Adverse Childhood Experiences (ACE) study publication-title: Am J Prev Med. doi: 10.1016/S0749-3797(98)00017-8 – volume: 18 start-page: 963 year: 2013 end-page: 74 ident: CR30 article-title: The vascular depression hypothesis: mechanisms linking vascular disease with depression publication-title: Mol Psychiatry. doi: 10.1038/mp.2013.20 – volume: 320 start-page: 436 year: 2023 ident: 2883_CR8 publication-title: J Affect Disord. doi: 10.1016/j.jad.2022.09.164 – volume: 22 start-page: 827 year: 1998 ident: 2883_CR12 publication-title: J Comput Assist Tomogr. doi: 10.1097/00004728-199809000-00030 – volume: 18 start-page: 963 year: 2013 ident: 2883_CR30 publication-title: Mol Psychiatry. doi: 10.1038/mp.2013.20 – volume: 92 start-page: 25 year: 2022 ident: 2883_CR37 publication-title: Biol Psychiatry. doi: 10.1016/j.biopsych.2021.11.025 – volume: 29 start-page: 1310 year: 2010 ident: 2883_CR15 publication-title: IEEE Trans Med Imaging. doi: 10.1109/TMI.2010.2046908 – volume: 73 start-page: 525 year: 2016 ident: 2883_CR28 publication-title: JAMA Psychiatry doi: 10.1001/jamapsychiatry.2016.0004 – volume: 9 year: 2019 ident: 2883_CR1 publication-title: Transl Psychiatry. doi: 10.1038/s41398-019-0514-6 – volume: 92 start-page: e1589 year: 2019 ident: 2883_CR20 publication-title: Neurology. doi: 10.1212/WNL.0000000000007243 – volume: 127 start-page: 186 year: 2016 ident: 2883_CR17 publication-title: NeuroImage. doi: 10.1016/j.neuroimage.2015.11.073 – volume: 74 start-page: 712 year: 2017 ident: 2883_CR5 publication-title: JAMA Psychiatry. doi: 10.1001/jamapsychiatry.2017.0660 – volume: 83 start-page: 1379 year: 2021 ident: 2883_CR39 publication-title: J Alzheimers Dis. doi: 10.3233/JAD-210588 – volume: 73 start-page: 73 year: 2016 ident: 2883_CR19 publication-title: JAMA Psychiatry. doi: 10.1001/jamapsychiatry.2015.2468 – volume: 9 year: 2019 ident: 2883_CR26 publication-title: Sci Rep. doi: 10.1038/s41598-019-44158-7 – volume: 1 start-page: 385 year: 1977 ident: 2883_CR10 publication-title: Appl Psychol Meas. doi: 10.1177/014662167700100306 – volume: 20 start-page: 1566 year: 2013 ident: 2883_CR16 publication-title: Acad Radiol. doi: 10.1016/j.acra.2013.09.010 – volume: 192 start-page: 199 year: 2016 ident: 2883_CR3 publication-title: J Affect Disord. doi: 10.1016/j.jad.2015.12.030 – volume: 158 start-page: 126 year: 2023 ident: 2883_CR33 publication-title: J Psychiatr Res. doi: 10.1016/j.jpsychires.2022.12.018 – volume: 51 start-page: afab191 year: 2022 ident: 2883_CR27 publication-title: Age Ageing doi: 10.1093/ageing/afab191 – volume: 3 start-page: 628 year: 2016 ident: 2883_CR4 publication-title: Lancet Psychiatry. doi: 10.1016/S2215-0366(16)00097-3 – volume: 73 start-page: 170 year: 2013 ident: 2883_CR21 publication-title: Ann Neurol. doi: 10.1002/ana.23836 – volume: 41 start-page: 1105 year: 1988 ident: 2883_CR9 publication-title: J Clin Epidemiol. doi: 10.1016/0895-4356(88)90080-7 – volume: 6736 start-page: 17 year: 2017 ident: 2883_CR2 publication-title: Lancet. – volume: 131 start-page: 85 year: 2020 ident: 2883_CR31 publication-title: J Psychiatr Res. doi: 10.1016/j.jpsychires.2020.09.005 – volume: 74 start-page: 58 year: 2017 ident: 2883_CR32 publication-title: JAMA Psychiatry. doi: 10.1001/jamapsychiatry.2016.3162 – ident: 2883_CR11 doi: 10.1371/journal.pone.0122138 – volume: 7 start-page: e1117 year: 2017 ident: 2883_CR6 publication-title: Transl Psychiatry. doi: 10.1038/tp.2017.90 – volume: 72 start-page: 1365 year: 2004 ident: 2883_CR23 publication-title: J Person. doi: 10.1111/j.1467-6494.2004.00300.x – volume: 17 start-page: 1494 year: 2017 ident: 2883_CR34 publication-title: Geriatr Gerontol Int. doi: 10.1111/ggi.12901 – volume: 7 start-page: 323 year: 2011 ident: 2883_CR29 publication-title: Nat Rev Neurol doi: 10.1038/nrneurol.2011.60 – volume: 121 start-page: 12 year: 1992 ident: 2883_CR18 publication-title: J Exp Psychol Gen. doi: 10.1037/0096-3445.121.1.12 – volume: 21 start-page: 1421 year: 2002 ident: 2883_CR13 publication-title: IEEE Trans Med Imaging. doi: 10.1109/TMI.2002.803111 – volume: 5 start-page: 1222 year: 1985 ident: 2883_CR25 publication-title: J Neurosci. doi: 10.1523/JNEUROSCI.05-05-01222.1985 – volume: 11 start-page: 620 year: 2008 ident: 2883_CR14 publication-title: Med Image Comput Comput Assist Interv. – ident: 2883_CR36 doi: 10.1017/S003329172200112X – volume: 10 start-page: 40 year: 2018 ident: 2883_CR35 publication-title: Front Aging Neurosci. doi: 10.3389/fnagi.2018.00040 – volume: 79 start-page: 619 year: 2007 ident: 2883_CR7 publication-title: J Neurol Neurosurg Psychiatry. doi: 10.1136/jnnp.2007.124651 – volume: 14 start-page: 245 year: 1998 ident: 2883_CR22 publication-title: Am J Prev Med. doi: 10.1016/S0749-3797(98)00017-8 – volume: 626 start-page: 83 year: 2010 ident: 2883_CR24 publication-title: Eur J Pharmacol. doi: 10.1016/j.ejphar.2009.08.046 – volume: 17 start-page: 1383 year: 2021 ident: 2883_CR38 publication-title: Alzheimers Dement. doi: 10.1002/alz.12303 |
| SSID | ssj0000548171 |
| Score | 2.3660722 |
| Snippet | Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in... Abstract Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of... |
| SourceID | doaj proquest pubmed crossref springer |
| SourceType | Open Website Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 169 |
| SubjectTerms | 59/57 692/53/2423 692/699/476/1414 Adult Amygdala Behavioral Sciences Biological Psychology Brain - diagnostic imaging Cognition Dementia Depression Humans Medicine Medicine & Public Health Middle age Neurosciences Pharmacotherapy Psychiatry Risk Factors Young Adult |
| SummonAdditionalLinks | – databaseName: ProQuest Central dbid: BENPR link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpR1daxQxMOhVpC_Wz3paZQXfdGk-L1kQpJUWH_QootK3kGwSudLbvd5eC_57J9nsFlH7Iuy-7GbDZOd7JplB6DVoPStVsCW10pTcCgM8R1xpMScqOCFcKtf0_ZOcz9XpaXWSA25d3lY5yMQkqF1bxxj5PouuOYlpsPerizJ2jYrZ1dxC4zbaipXK-ARtHR7NT76MURYwSBSRJJ-WwUztdyC146kyyuFWipX0N42UCvf_zdr8I1OaFNDxzv-Cfh_dy6ZncdDTygN0yzcP0d3PObn-CL0DvXWWgvjgPReLphh2yV75ovu5XG3aZVeYxhXLhTtfBF_Y2F6i6E9SPkbfjo--fvhY5uYKZc2V2JS1DAQ7H6QzrLLKiJmhUgonlK9kwDRE13DmKhIsZdbWwE0hiNoZVduAPWZP0KRpG_8UFTOQCqb2zgsWuMBGCWpmcDHFnbLYTxEZfrCuc-Xx2ADjXKcMOFO6R4oGpOiEFE2n6M34zaqvu3Hj6MOIt3FkrJmdHrTrHzqzoJYSg_dmiAeNDG4srsDy9MoZrwSnhvAp2hvQpzMjd_oad1P0anwNLBjzKqbx7WUcA0JRci4Ajt2eWkZImBKCcQmTvx3I53ryfy_o2c2wPEfbNFFw7MO3hyab9aV_ge7UV5tFt36ZmeAXbP8K_w priority: 102 providerName: ProQuest |
| Title | Trajectories in depressive symptoms and midlife brain health |
| URI | https://link.springer.com/article/10.1038/s41398-024-02883-2 https://www.ncbi.nlm.nih.gov/pubmed/38553474 https://www.proquest.com/docview/3015013501 https://www.proquest.com/docview/3022574452 https://doaj.org/article/770626a1e28440709226e8dae8542a14 |
| Volume | 14 |
| WOSCitedRecordID | wos001195169800002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2158-3188 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000548171 issn: 2158-3188 databaseCode: DOA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2158-3188 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000548171 issn: 2158-3188 databaseCode: M~E dateStart: 20110101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Health & Medical Collection (ProQuest) customDbUrl: eissn: 2158-3188 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000548171 issn: 2158-3188 databaseCode: 7X7 dateStart: 20240101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2158-3188 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000548171 issn: 2158-3188 databaseCode: BENPR dateStart: 20240101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2158-3188 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000548171 issn: 2158-3188 databaseCode: PIMPY dateStart: 20240101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrR1daxQxMGgV8UXq92k9VvBNl-bzMgu-tOWKgncconI-hWSTwJXeXuleC774251k985K_XgRdvOQzYbJZCYzk0lmCHmFUs9piK7kTttSOmWR55gvHZUMolfK53BNXz7o6RTm82p2JdVXOhPWhQfuELevNUWd27KA6ygaH7RCfSGAtwGU5DansOao9Vwxprqo3hKYZv0tGSpgv8XVOt0m4xJfAFHyXyRRDtj_Oy3zmoc0C57jXXKv1xiLgw7S--RGaB6QO5PeJ_6QvEVxc5L33tHoLRZNsTncehmK9tvybL1atoVtfLFc-NNFDIVLWSGK7gLkI_L5ePzp6F3Z50QoawlqXdY6MupD1N6KyoFVI8u1Vl5BqHSkPCaLbuQrFh0XztXIBDGq2luoXaSBisdkp1k14SkpRsjMtg4-KBGlohYUtyN8BEgPjoYBYRv8mLoPGJ7yVpya7LgWYDqcGsSpyTg1fEBeb_8568Jl_LX1YUL7tmUKdZ0rkABMTwDmXwQwIHubSTM9_7VGpI0clpymA_Jy-xk5J7lDbBNWF6kNrmVaSoVwPOkmewuJAKWE1Nj5m83s_-z8zwN69j8G9Jzc5ZlMU5K9PbKzPr8IL8jt-nK9aM-H5Kae61zCkNw6HE9nH4eZ9rGcfB9j3ez9ZPb1B3t0AFo |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VLQIuvB8LBYIEJ4ia-LH2SiDEq-qqu6s9FFROxo5ttKibLJttUf8Uv5FxXhUCeusBKbkkjjVJvnl5PDMAT1HrGSG9iYkROmaGa-S51MYmYan0lnNblWv6NBbTqTw4GM424GebCxO2VbYysRLUtsjCGvk2Da55GsJgr5ff49A1KkRX2xYaNSz23MkPdNnKV6P3-H-fEbLzYf_dbtx0FYgzJvk6zoRPE-u8sJoOjdR8oIkQ3HLphsInxAefaGCHqTeEGpMhjLznmdUyMz5xCcV5L8AmQ7DLHmzORpPZ525VBw0gmYq0yc5JqNwuUUuELDbC8JSSxuQ3DVg1CvibdftHZLZSeDvX_rdPdR2uNqZ19KbmhRuw4fKbcGnSbB64BS9RL3-rghRzV0bzPGp3AR-7qDxZLNfFoox0bqPF3B7OvYtMaJ8R1Zmit-HjudB-B3p5kbt7EA1Q6unMWcepZzzRkhM9wINKZqVJXB_S9oeqrKmsHhp8HKoqwk-lqkGgEASqAoEifXjePbOs64qcOfptwEk3MtQEry4Uq6-qETFKiAS9U506tDjQTU-GaFk7abWTnBGdsj5stXBRjaAq1SlW-vCku40iJsSNdO6KozAGhb5gjCMdd2t0dpRQyTllAid_0cL1dPJ_v9D9s2l5DJd39ydjNR5N9x7AFVJxT-g5uAW99erIPYSL2fF6Xq4eNQwYwZfzBvIvCitqmA |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VFlVceD8CBYIEJ4g28WPtlUAIKCtWbVd7ANSejB3b1VbdZNlsi_rX-HWM89gKAb31gJRcEieaxN-8PJ4ZgOeo9YyQ3iTECJ0wwzXyXGYTk7JMesu5rcs1fd0V47Hc3x9M1uBnlwsTtlV2MrEW1LbMwxp5jwbXPAthsJ5vt0VMtodv59-T0EEqRFq7dhoNRHbc2Q9036o3o22c6xeEDD9-_vApaTsMJDmTfJnkwmepdV5YTQdGat7XRAhuuXQD4VPig3_Ut4PMG0KNyRFS3vPcapkbn7qU4nuvwAaa5Ax5bGMy2pscrFZ40BiSmcjaTJ2Uyl6FGiNktBGGp5Q0Ib9pw7ppwN8s3T-itLXyG974n3_bTbjemtzxu4ZHbsGaK27D5l67qeAOvEZ9fVQHL6auiqdF3O0OPnVxdTabL8tZFevCxrOpPZ56F5vQViNuMkjvwpdLof0erBdl4R5A3EdpqHNnHaee8VRLTnQfDyqZlSZ1EWTd5Kq8rbgeGn8cqzryT6VqAKEQEKoGhCIRvFw9M2_qjVw4-n3AzGpkqBVeXygXh6oVPUqIFL1WnTm0RNB9TwdocTtptZOcEZ2xCLY66KhWgFXqHDcRPFvdRtET4km6cOVJGIPKQDDGkY77DVJXlFDJOUW2iOBVB93zl__7gx5eTMtT2ET0qt3ReOcRXCM1I4VWhFuwvlycuMdwNT9dTqvFk5YXY_h22Tj-BdOMc1g |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Trajectories+in+depressive+symptoms+and+midlife+brain+health&rft.jtitle=Translational+psychiatry&rft.au=Dintica%2C+Christina+S&rft.au=Habes%2C+Mohamad&rft.au=Schreiner%2C+Pamela+J&rft.au=Launer%2C+Lenore+J&rft.date=2024-03-29&rft.issn=2158-3188&rft.eissn=2158-3188&rft.volume=14&rft.issue=1&rft.spage=169&rft_id=info:doi/10.1038%2Fs41398-024-02883-2&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2158-3188&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2158-3188&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2158-3188&client=summon |