Predicting loneliness from where and what people do

The many devastating mental health outcomes associated with chronic loneliness is the motivation behind research into examining personal and demographic characteristics of the lonely. The present study sought to examine the connection of where people live (degree of urbanization) and what people do (leisure activities) with self-report of loneliness in a large sample (N = 8356) of unrelated Dutch adults. Information regarding where people live and what they do in their leisure time was entered into a regression analysis for self-reported loneliness. The overall regression was significant and a... Mehr ...

Verfasser: MacDonald, Kristi J.
Willemsen, Gonneke
Boomsma, Dorret I.
Schermer, Julie Aitken
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Reihe/Periodikum: MacDonald , K J , Willemsen , G , Boomsma , D I & Schermer , J A 2020 , ' Predicting loneliness from where and what people do ' , Social Sciences , vol. 9 , no. 4 , 51 , pp. 1-9 . https://doi.org/10.3390/SOCSCI9040051
Schlagwörter: Adult / Age / Gender / Leisure / Lonely / Urbanization / /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR)
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26843091
Datenquelle: BASE; Originalkatalog
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Link(s) : https://research.vu.nl/en/publications/0130e85c-e6b9-4839-9dba-076c061bae38