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Enregistrement W3041647760

Changes in Personality and Well-Being Across Adulthood: Riding the Self-Esteem Rollercoaster

2019· dissertation· en· W3041647760 sur OpenAlexaboutno aff
Sarah Y. Liu

Notice bibliographique

RevueSpectrum Research Repository (Concordia University) · 2019
Typedissertation
Langueen
DomainePsychology
ThématiquePsychological Well-being and Life Satisfaction
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPersonalityPsychologySelf-esteemNormativeBig Five personality traitsSituational ethicsDevelopmental psychologySocial psychologyWell-being
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Personality factors have long been implicated in how individuals manage and cope with circumstances to maintain well-being and health across the lifespan (Lazarus & Folkman, 1984; Mroczek & Spiro, 2007; Wrosch & Scheier, 2003). However, personality factors have also been shown to change over time in both situational and normative contexts (Caspi & Roberts, 1999; Crocker & Wolfe, 2006; Robins et al., 2002; Roberts, Walton & Virchtbauer, 2006). These changes in personality can provide important information about how individuals adapt to and navigate life events and challenges. We investigate self-esteem as a personality factor that changes across the lifespan and identify age-related differences in the impact of self-esteem levels and changes on indices of well-being. This line of research combines personality and lifespan developmental literature to address the question whether levels of and changes in self-esteem can predict well-being and whether there are age-related effects as self-esteem changes across the lifespan. The present dissertation had three main goals: 1) To examine the impact of self-esteem changes and levels across the adult lifespan; 2) to examine changes in self-esteem in different ways – intraindividual changes in self-esteem, normative changes in self-esteem and experimental changes in self-esteem; 3) to investigate the moderating role of self-esteem changes. In order to address these goals, data was collected to examine within-person changes in self-esteem among older adults, data from Statistics Canada was analyzed to examine normative changes in self-esteem, and finally an intervention study was developed to examine experimental changes in self-esteem among young and older adults, and data on psychological and emotional well-being were collected. Three manuscripts were then written based on this data and are included as part of this dissertation. 
\nThe first manuscript examined the potential moderating role of self-esteem on older adults’ perceived stress and regret intensity, over 10 years in a sample of 167 community dwelling older adults. This study examined the within-person associations between older adults’ perceived stress and regret intensity, and the moderating role of levels of, and within-person changes in, self-esteem. Within-person results indicated that older adults reported higher levels of regret intensity when they reported higher than their average levels of perceived stress, and that within-person increases of self-esteem, but not between-person levels, moderated this association. The results suggest that within-person changes in self-esteem may be more important than individual differences of self-esteem in protecting older adults from experiencing greater regret intensity under stressful circumstances. 
\nThe second manuscript, revised and re-submitted for publication in Social Science and Medicine, examines normative changes in self-esteem across the adult lifespan in a 16-year longitudinal sample of 14,117 adults from the National Population Health Survey (NPHS). The study examines whether changes in self-esteem and chronic disease exert reciprocal effects on subsequent changes in self-esteem and chronic disease, and whether individuals’ age would moderate these associations. The findings from this paper suggest that there are reciprocal age-related associations between changes in self-esteem and chronic disease. Only among young adults, but not middle-aged or older adults, initial decline in self-esteem predicted subsequent increases in chronic disease, and initial increases in chronic disease predicted subsequent declines in self-esteem. The results from this study highlight that adverse changes in both self-esteem and physical health may be particularly problematic for young adults, and have comparably less impact among middle-aged and older adults. 
\nThe third and final manuscript included in this dissertation attempted to improve young and older adults’ self-esteem through a brief writing intervention. The study examines whether self-esteem can be improved, whether baseline levels of self-esteem and naturally occurring changes in self-esteem play an adaptive role in mitigating consequences of stress, and predict psychological and emotional well-being, and whether these associations are moderated by age. The study examines 106 young and older adults, randomized into control and intervention groups, who were asked to engage in three consecutive days of writing. All participants completed an in-lab stress task, and cortisol data were also examined. The results of the study suggest that our writing intervention did not work. In addition, the results suggest that high levels of self-esteem and naturally occurring increases in self-esteem (and not experimental changes), predicted positive outcomes, only for older, but not younger, adults. Consistent with previous research, our results highlight age differences in the association between self-esteem and psychological and emotional well-being, which may also suggest that future self-esteem interventions could be more tailored to each specific age group.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,231
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,029
Tête enseignante GPT0,328
Écart entre enseignants0,300 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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