Evidence map›Paper›PMID 37032256›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2023

Important Correlates of Purpose in Life in a Diverse Population-Based Cohort: A Machine Learning Approach.

Rishab Bhatt, Adriana Lori, Jiaqi Liu, Zhen Mei, Thomas S Wingo, Aliza P Wingo

Open access · greenAbstract read
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Rishab BhattEmory College of Arts & Sciences, and Division of Mental Health (RB), Atlanta VA Medical Center, Decatur, GA.
Adriana LoriEmory University School of Medicine Departments of Psychiatry, Division of Mental Health (AL, APW), Atlanta VA Medical Center, Decatur, GA.
Jiaqi LiuNeurology, Division of Mental Health (JL, ZM, TSW), Atlanta VA Medical Center, Decatur, GA.
Zhen MeiNeurology, Division of Mental Health (JL, ZM, TSW), Atlanta VA Medical Center, Decatur, GA.
Thomas S WingoNeurology, Division of Mental Health (JL, ZM, TSW), Atlanta VA Medical Center, Decatur, GA; Human Genetics, Division of Mental Health (TSW), Atlanta VA Medical Center, Decatur, GA. Electronic address: thomas.wingo@emory.edu.
Aliza P WingoEmory University School of Medicine Departments of Psychiatry, Division of Mental Health (AL, APW), Atlanta VA Medical Center, Decatur, GA; Division of Mental Health (APW), Atlanta VA Medical Center, Decatur, GA. Electronic address: aliza.wingo@emory.edu.
Atlanta VA Medical Center · US

Funding

The brain multi-omic approach to identify key molecular drivers of neuropsychiatric symptoms in Alzheimer's dementiaR01AG072120 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Aliza Pham Wingo, Thomas Spurgeon Wingo · 2022 to 2026
$4.3M
Understanding the molecular mechanisms of Depression and Psychological Well-being in Alzheimer's diseaseR01AG056533 · NIA · EMORY UNIVERSITY · PI WINGO, ALIZA PHAM, WINGO, THOMAS SPURGEON · 2017 to 2021
$3.9M
Integrative genomic, transcriptomic, and proteomic analyses to investigate sex-specific differences in Alzheimer's DiseaseR01AG075827 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Aliza Pham Wingo, Thomas Spurgeon Wingo · 2022 to 2026
$3.7M
Elucidating molecular mechanisms of psychological well-beingI01BX003853 · VA · VETERANS HEALTH ADMINISTRATION · PI WINGO, ALIZA PHAM · 2018 to 2022
–
Identifying Novel Brain Proteins Contributing to PTSD and Alcohol Use DisorderI01BX005686 · VA · VETERANS HEALTH ADMINISTRATION · PI Aliza Pham Wingo · 2022 to 2026
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BLR&D Research Career Development Transition Award ApplicationIK4BX005219 · VA · VETERANS HEALTH ADMINISTRATION · PI WINGO, ALIZA PHAM · 2021 to 2025
–
BLRD VA I01 BX003853BLRD VA I01 BX005686BLRD VA IK4 BX005219NIA NIH HHS R01 AG056533NIA NIH HHS R01 AG072120NIA NIH HHS R01 AG075827
6 · The paper itself

Abstract

backgroundPurpose-in-life (PiL) refers to the tendency to derive meaning and purpose from daily life experiences. Individuals with higher PiL were more likely to have better physical, mental, and cognitive health in prospective studies. Here, we aimed to identify important correlates of PiL among people of diverse backgrounds.

methodsParticipants were recruited by the population-based Health and Retirement Study and provided information on 34 different sociodemographic and psychosocial factors through psychometrically validated measures. To identify important correlates of PiL, we employed regularized regression implemented by Elastic Net on the entire cohort as well as among self-identified black participants only and white participants only, respectively.

resultsA total of 6,620 participants were included in this study, among whom 913 were black and 5,707 were white. We identified 12 and 23 important sociodemographic and psychosocial correlates of PiL among black and white participants, respectively. Notably, all the 12 correlates in black participants were also correlates among white participants. Interestingly, when we examined both black and white participants together, being black was associated with having higher PiL. The correlates with the largest effect on PiL that were shared among black and white participants were hopelessness, perceived constraint on personal control, and self-mastery.

conclusionSeveral sociodemographic and psychosocial factors most strongly associated with PiL were shared among black and white participants. Future studies should investigate whether interventions targeting correlates of PiL can lead to higher sense of life purpose in participants of diverse backgrounds.

Indexed as

Machine LearningPersonal SatisfactionBlack PeopleHumansPsychologySociodemographic FactorsWhite PeopleCorrelates of purpose-in-lifediverse populationsmachine learning

Identifiers

PMID37032256
PMCPMC10701573
OpenAlexW4327601559

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.