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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Social Sciences |
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| Online Access: | https://www.mdpi.com/2076-0760/9/4/51 |
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| author | Kristi J. MacDonald Gonneke Willemsen Dorret I. Boomsma Julie Aitken Schermer |
| author_facet | Kristi J. MacDonald Gonneke Willemsen Dorret I. Boomsma Julie Aitken Schermer |
| author_sort | Kristi J. MacDonald |
| collection | DOAJ |
| description | 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 (<i>N</i> = 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 accounted for 2.8% of the loneliness scale scores. Significant independent predictors for loneliness were living in heavily urbanized areas and engaging in fewer social activities. People who went sightseeing or to amusement parks/zoos or who participated in clubs reported being less lonely. Spending time using a computer predicted higher self-report loneliness scores. Consistent with previous research, after controlling for other variables, gender was not a significant predictor of loneliness but both a younger age and a curvilinear or U-shaped curve of age predicted loneliness (the younger and the much older). The results suggest that meaningful interpersonal interactions may result in lower feelings of loneliness. |
| first_indexed | 2024-03-10T20:29:30Z |
| format | Article |
| id | doaj.art-e37fd07dc40a4031838cdd0124821472 |
| institution | Directory Open Access Journal |
| issn | 2076-0760 |
| language | English |
| last_indexed | 2024-03-10T20:29:30Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Social Sciences |
| spelling | doaj.art-e37fd07dc40a4031838cdd01248214722023-11-19T21:34:16ZengMDPI AGSocial Sciences2076-07602020-04-01945110.3390/socsci9040051Predicting Loneliness from Where and What People DoKristi J. MacDonald0Gonneke Willemsen1Dorret I. Boomsma2Julie Aitken Schermer3Department of Psychology, The University of Western Ontario, 1151 Richmond St., London, ON N6A 5C2, CanadaNetherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7-9, 1081 BT Amsterdam, The NetherlandsNetherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7-9, 1081 BT Amsterdam, The NetherlandsManagement and Organizational Studies, The University of Western Ontario, 1151 Richmond St., London, ON N6A 5C2, CanadaThe 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 (<i>N</i> = 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 accounted for 2.8% of the loneliness scale scores. Significant independent predictors for loneliness were living in heavily urbanized areas and engaging in fewer social activities. People who went sightseeing or to amusement parks/zoos or who participated in clubs reported being less lonely. Spending time using a computer predicted higher self-report loneliness scores. Consistent with previous research, after controlling for other variables, gender was not a significant predictor of loneliness but both a younger age and a curvilinear or U-shaped curve of age predicted loneliness (the younger and the much older). The results suggest that meaningful interpersonal interactions may result in lower feelings of loneliness.https://www.mdpi.com/2076-0760/9/4/51lonelyadultgenderageurbanizationleisure |
| spellingShingle | Kristi J. MacDonald Gonneke Willemsen Dorret I. Boomsma Julie Aitken Schermer Predicting Loneliness from Where and What People Do Social Sciences lonely adult gender age urbanization leisure |
| title | Predicting Loneliness from Where and What People Do |
| title_full | Predicting Loneliness from Where and What People Do |
| title_fullStr | Predicting Loneliness from Where and What People Do |
| title_full_unstemmed | Predicting Loneliness from Where and What People Do |
| title_short | Predicting Loneliness from Where and What People Do |
| title_sort | predicting loneliness from where and what people do |
| topic | lonely adult gender age urbanization leisure |
| url | https://www.mdpi.com/2076-0760/9/4/51 |
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