Literature DB >> 16953720

Social support as a predictor of variability: an examination of the adjustment trajectories of recent widows.

Toni L Bisconti1, Cindy S Bergeman, Steven M Boker.   

Abstract

The variability pattern of emotional well-being in recent widows across a 98-day period beginning in the first month post-loss has previously been modeled by dynamical systems and shown to be an oscillating process that damps across time. The goal of the present study was to examine how variables that comprise the social support network predict characteristics of these emotional shifts in 28 recent widows. In the present study, emotional support seeking led to a steeper overall trend, whereas perceived control for social support led to a shallower overall trend. When examining intraindividual variability, instrumental support seeking predicted a slower damping rate. Understanding the individual differences in the variability patterns of recent widows is a necessary step in identifying the etiology of adjustment to widowhood.

Mesh:

Year:  2006        PMID: 16953720     DOI: 10.1037/0882-7974.21.3.590

Source DB:  PubMed          Journal:  Psychol Aging        ISSN: 0882-7974


  20 in total

1.  The multidimensional nature of resilience to spousal loss.

Authors:  Frank J Infurna; Suniya S Luthar
Journal:  J Pers Soc Psychol       Date:  2016-07-11

2.  Social Support in Widowhood: A Mixed Methods Study.

Authors:  Stacey B Scott; C S Bergeman; Alissa Verney; Susannah Longenbaker; Megan A Markey; Toni L Bisconti
Journal:  J Mix Methods Res       Date:  2007-07

3.  Behavior Genetics and the Within-Person Variability of Daily Interpersonal Styles: The Heritability of Flux, Spin and Pulse.

Authors:  Patrick M Markey; Sarah E Racine; Charlotte N Markey; Christopher J Hopwood; Pamela K Keel; S Alexandra Burt; Michael C Neale; Cheryl L Sisk; Steven M Boker; Kelly L Klump
Journal:  Soc Psychol Personal Sci       Date:  2014-04-01

4.  Trajectories of social support and well-being across the first two years of widowhood.

Authors:  Sara M Powers; Toni L Bisconti; C S Bergeman
Journal:  Death Stud       Date:  2014-05-20

5.  As Good as GOLD: Gram-Schmidt Orthogonalization by Another Name.

Authors:  Michael D Hunter
Journal:  Psychometrika       Date:  2016-09-20       Impact factor: 2.500

6.  Dynamic Systems, Contextual Influences, and Multiple Timescales: Emotion Regulation as a Resilience Resource.

Authors:  Cindy S Bergeman; Jessica Blaxton; Raquael Joiner
Journal:  Gerontologist       Date:  2021-04-03

7.  The reservoir model: a differential equation model of psychological regulation.

Authors:  Pascal R Deboeck; C S Bergeman
Journal:  Psychol Methods       Date:  2013-03-25

8.  Time Delay Embedding Increases Estimation Precision of Models of Intraindividual Variability.

Authors:  Timo von Oertzen; Steven M Boker
Journal:  Psychometrika       Date:  2010-03       Impact factor: 2.500

9.  Synchrony in affect among stressed adults: the Notre Dame Widowhood Study.

Authors:  Lindsay M Pitzer; C S Bergeman
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2013-05-18       Impact factor: 4.077

10.  Constrained Fourth Order Latent Differential Equation Reduces Parameter Estimation Bias for Damped Linear Oscillator Models.

Authors:  Steven M Boker; Robert G Moulder; Gustav R Sjobeck
Journal:  Struct Equ Modeling       Date:  2019-09-05       Impact factor: 6.125

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