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Predictors of Life Satisfaction in New Zealand: Analysis of a National Dataset
The study aim was to determine prevalence and predictors of life satisfaction in New Zealand. In this observational cross-sectional study, a sample of 10,799 participants from NZ were drawn from the Gallup World Poll from 2006 to 2017. Data were analysed using regression analysis and ANOVA. Prevalen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103190/ https://www.ncbi.nlm.nih.gov/pubmed/35565016 http://dx.doi.org/10.3390/ijerph19095612 |
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author | Jarden, Rebecca J. Joshanloo, Mohsen Weijers, Dan Sandham, Margaret H. Jarden, Aaron J. |
author_facet | Jarden, Rebecca J. Joshanloo, Mohsen Weijers, Dan Sandham, Margaret H. Jarden, Aaron J. |
author_sort | Jarden, Rebecca J. |
collection | PubMed |
description | The study aim was to determine prevalence and predictors of life satisfaction in New Zealand. In this observational cross-sectional study, a sample of 10,799 participants from NZ were drawn from the Gallup World Poll from 2006 to 2017. Data were analysed using regression analysis and ANOVA. Prevalence of life satisfaction across time varied little from a high of 7.61 (SD = 1.6) in 2007 to a low of 7.23 (SD = 1.73) in 2011 (range 0–10). Satisfaction with standards of living predicted life satisfaction regardless of age or gender. For males across all age groups and females up to age 40 years, positive experiences and satisfaction with household income were important predictors. Being married was an important predictor for males over 40 years and feeling satisfied with their current city was important for females across all ages and for men under 40. The levels of life satisfaction changed over time, possibly due to major national events. Satisfaction with standards of living was found to predict life satisfaction regardless of age or gender. These results provide a path for policy focus towards increased life satisfaction. |
format | Online Article Text |
id | pubmed-9103190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91031902022-05-14 Predictors of Life Satisfaction in New Zealand: Analysis of a National Dataset Jarden, Rebecca J. Joshanloo, Mohsen Weijers, Dan Sandham, Margaret H. Jarden, Aaron J. Int J Environ Res Public Health Article The study aim was to determine prevalence and predictors of life satisfaction in New Zealand. In this observational cross-sectional study, a sample of 10,799 participants from NZ were drawn from the Gallup World Poll from 2006 to 2017. Data were analysed using regression analysis and ANOVA. Prevalence of life satisfaction across time varied little from a high of 7.61 (SD = 1.6) in 2007 to a low of 7.23 (SD = 1.73) in 2011 (range 0–10). Satisfaction with standards of living predicted life satisfaction regardless of age or gender. For males across all age groups and females up to age 40 years, positive experiences and satisfaction with household income were important predictors. Being married was an important predictor for males over 40 years and feeling satisfied with their current city was important for females across all ages and for men under 40. The levels of life satisfaction changed over time, possibly due to major national events. Satisfaction with standards of living was found to predict life satisfaction regardless of age or gender. These results provide a path for policy focus towards increased life satisfaction. MDPI 2022-05-05 /pmc/articles/PMC9103190/ /pubmed/35565016 http://dx.doi.org/10.3390/ijerph19095612 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jarden, Rebecca J. Joshanloo, Mohsen Weijers, Dan Sandham, Margaret H. Jarden, Aaron J. Predictors of Life Satisfaction in New Zealand: Analysis of a National Dataset |
title | Predictors of Life Satisfaction in New Zealand: Analysis of a National Dataset |
title_full | Predictors of Life Satisfaction in New Zealand: Analysis of a National Dataset |
title_fullStr | Predictors of Life Satisfaction in New Zealand: Analysis of a National Dataset |
title_full_unstemmed | Predictors of Life Satisfaction in New Zealand: Analysis of a National Dataset |
title_short | Predictors of Life Satisfaction in New Zealand: Analysis of a National Dataset |
title_sort | predictors of life satisfaction in new zealand: analysis of a national dataset |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103190/ https://www.ncbi.nlm.nih.gov/pubmed/35565016 http://dx.doi.org/10.3390/ijerph19095612 |
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