Evidence map›Paper›PMID 41153183›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Predictors of Support-Seeking During Stress Discussions of Older Adult Couples.

Yuxi Xie, Brooke C Feeney

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yuxi XieDepartment of Psychology, University of Macau, Taipa, Macau, China.ORCID 0000-0001-5830-2659
Brooke C FeeneyDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.ORCID 0000-0001-6195-6338

Funding

Social Behaviors and Thriving in Older AdulthoodR01AG032370 · NIA · CARNEGIE-MELLON UNIVERSITY · PI FEENEY, BROOKE C · 2010 to 2014
$1.8M
Carnegie Mellon University N/ANIA NIH HHS 1R01AG032370 - 01A2NIA NIH HHS R01 AG032370
6 · The paper itself

Abstract

Despite its central role in fostering effective social support, support-seeking behavior has received limited empirical attention-particularly among older adults, who have heightened needs for support due to age-related cognitive and physical decline. This study identified and examined key predictors of four types of support-seeking behaviors-direct and indirect instrumental and emotional support-seeking. Long-term married couples, with at least one partner aged 65 or older, participated in a laboratory-based discussion about a personal life stressor, during which support-seeking behaviors were coded. We examined both the support-seeker's and support-provider's attachment orientation, as well as the support-seeker's stress level and relationship quality (e.g., satisfaction, commitment, and trust), as predictors of observed support-seeking behaviors. Results indicated that greater stress and higher relationship quality were associated with more direct instrumental support-seeking, while lower relationship quality and greater attachment insecurity in both partners predicted more indirect instrumental and emotional support-seeking. However, support-seekers also showed more direct emotional support-seeking with avoidantly attached partners, possibly as a compensatory effort to elicit needed support. This study contributes to the limited literature focusing on support-seeking behaviors, particularly in older adulthood, and has implications for interventions aimed at promoting effective communication and support-seeking.

Indexed as

attachment orientationemotional supportinstrumental supportolder adulthoodsupport-seeking

Identifiers

PMID41153183
PMCPMC12561594

What OpenQuestion holds

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Registered trials

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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.