Dataset Information

Typology of parent-child ties within families: Associations with psychological well-being.

ABSTRACT: Middle-aged adults often have relationships with multiple family members (e.g., children and parents). The constellation of parent-child relationships within families may have implications for individuals' psychological well-being. This study created typologies of parent-child ties by combining multiple dimensions of relationships and examined the extent to which middle-aged adults showed variability across typologies of parent-child ties within multigenerational families. Using 2,252 parent-child ties across three generations from 633 middle-aged adults, this study identified typologies of parent-child ties based on 5 indicators (i.e., contact, downward and upward support, and positive and negative relationship qualities), and examined the associations of specific typologies of parent-child ties as well as within-family variability in typologies with middle-aged adults' psychological well-being. This study found 7 types of parent-child ties as distinct combinations of contact, support exchanges, and relationship quality. Within-family variability in these types was associated with more depressive symptoms, and having types characterized by conflicted ties was associated with more depressive symptoms and lower life satisfaction. Middle-aged adults seem to be happiest when they are able to maintain homogeneous, harmonious patterns of relationships with their parents and grown children. Findings were discussed with regard to factors that also may predict greater variability in family relationship patterns. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

SUBMITTER: Kim K

PROVIDER: S-EPMC7145731 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundOne important aspect of subjective judgments about one's well-being (i.e., subjective well-being: life satisfaction, positive affect, and negative affect) is that cultural features, such as, nationality seem to shape cognitive judgments about the "the ideal life." In this comparative study we examined differences in subjective well-being and psychological well-being between Italian and Swedish adolescents and tested if the relationship between the three constructs of subjective well-being (i.e., satisfaction with life, positive affect, and negative affect) and psychological well-being was moderated by the adolescents' nationality.MethodItalian (n = 255) and Swedish (n = 277) adolescents answered to the Satisfaction with Life Scale, the Positive Affect Negative Affect Schedule, and Ryff's Scales of Psychological Well-Being. Differences between samples were tested using a Multiple Analysis of Variance. We also conducted a multiple group analysis (Italy and Sweden) using Structural Equation Modelling to investigate the relationship between all three subjective well-being constructs and psychological well-being.ResultsItalian adolescents scored significantly higher in satisfaction with life than Swedish adolescents. Additionally, across countries, girls scored significantly higher in negative affect than boys. In both countries, all three constructs of subjective well-being were significantly associated to adolescents' psychological well-being. Nevertheless, while the effect of the relationship between affect and psychological well-being was almost the same across countries, life satisfaction was more strongly related to psychological well-being among Swedish adolescents.ConclusionsThe present study shows that there are larger variations between these two cultures in the cognitive construct of subjective well-being than in the affective construct. Accordingly, associations between the cognitive component, not the affective component, of subjective well-being and psychological well-being differ between countries as well.

Dataset Information

Typology of parent-child ties within families: Associations with psychological well-being.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets