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 ...
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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 |
Powered By: | BASE |
Link(s) : | https://research.vu.nl/en/publications/0130e85c-e6b9-4839-9dba-076c061bae38 |