The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Assessing quality of life using WHOQOL-BREF: a cross-sectional study on the association between quality of life and neighborhood environmental satisfaction, and the mediating effect of health-related behaviors
Open accessAbstract
BACKGROUND: Quality of life (QOL) is an important component in assessing people's health. Environmental quality can influence people's QOL in the physical health, psychological, social relationships and environment domains. QOL in the four domains, overall QOL and general heath of residents living in the Kowloon Peninsula of Hong Kong were assessed. The association between satisfaction with the neighborhood environment and QOL, and health-related behaviors which mediated the effect were investigated. METHODS: A sample of 317 residents completed a questionnaire which comprised the WHOQOL-BREF (Hong Kong version) to assess QOL, the International Physical Activity Questionnaire (IPAQ) to study physical activities, and questions on satisfaction with the neighborhood environment, health-related behaviors and socio-demographics. One-way ANOVA and linear regression were used to study the associations between environmental satisfaction and QOL in the four domains, overall QOL and general health, followed by assessing the relationships between environmental satisfaction and the potential health-related behavior mediators with regression tests. Mediation analysis was conducted using multiple linear regressions to study the effects of environmental satisfaction on QOL in the four domains, overall QOL and general health, as well as the potential mediating roles played by various health-related behaviors. A P-value of < 0.05 was considered as statistically significant. RESULTS: The residents had a relatively higher physical health mean score of 70.83 ± 12.69, and a lower environmental mean score of 61.98 ± 13.76. Moderate satisfaction with the neighborhood environment had a significant relationship with QOL in the psychological domain (β = 0.170, P = 0.006), however, this effect was partially mediated by the non-smoking behavior of the residents (β = 0.143, P = 0.022). CONCLUSIONS: Our residents had lower QOL in the physical health and psychological domains but similar QOL in the social relationships and environmental domains compared to other countries. Only QOL in the psychological domain could be predicted by the satisfaction with the neighborhood environment, and non-smoking status was a partial mediator of the effect of moderate environmental satisfaction on QOL in the psychological domain. Refrain from smoking seems to be able to lower the influence of neighborhood environment on people's QOL in the psychological domain to a certain extent.
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Cites
Skevington, S. M., Lotfy, M., & O'Connell, K. A. (2004) · Quality of Life Research · doi:10.1023/b:qure.0000018486.91360.00 · Cited by 4,686
Green space, urbanity, and health: how strong is the relation?
Maas, J., Verheij, R. A., Groenewegen, P. P., de Vries, S., & Spreeuwenberg, P. (2006) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2005.043125 · Cited by 1,976
Environmental factors associated with adults' participation in physical activity A review
Humpel, N. (2002) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(01)00426-3 · Cited by 1,783
The Effects of Climate Change on Cardiac Health
De Blois, J., Kjellstrom, T., Agewall, S., Ezekowitz, J. A., Armstrong, P. W., & Atar, D. (2015) · Cardiology · doi:10.1159/000398787 · Cited by 1,697
Barton, J., & Pretty, J. (2010) · Environmental Science & Technology · doi:10.1021/es903183r · Cited by 1,592
Jetté, M., Sidney, K., & Blümchen, G. (1990) · Clinical Cardiology · doi:10.1002/clc.4960130809 · Cited by 1,501
Sjöström, M., Ainsworth, B., Bauman, A. E., Bull, F., Hamilton-Craig, C., & Sallis, J. F. (2005) · Cited by 1,403
Green space as a buffer between stressful life events and health
van den Berg, A. E., Maas, J., Verheij, R. A., & Groenewegen, P. P. (2010) · Social Science & Medicine · doi:10.1016/j.socscimed.2010.01.002 · Cited by 1,126
Change in mental health after smoking cessation: systematic review and meta-analysis
Taylor, G., McNeill, A., Girling, A., Farley, A., Lindson-Hawley, N., & Aveyard, P. (2014) · BMJ · doi:10.1136/bmj.g1151 · Cited by 1,039 · cited 3×
“Because of nicotine on neurotransmitter activity in the brain, smokers have been reported to have more depressive symptoms, as well as more complaints of weakness, headache, dizziness, pain and discomfort [16].”
BackgroundClimate change and mental health: a causal pathways framework
Berry, H. L., Bowen, K., & Kjellstrom, T. (2010) · International Journal of Public Health · doi:10.1007/s00038-009-0112-0 · Cited by 1,035
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Han, K., Kim, Y.-H., Lee, H. Y., & Lim, S. (2019) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2019.05.014 · Cited by 26
Substance Use Disorder Treatment Outcomes: Methodological Overview of Metrics and Criteria
Narváez‐Camargo, M., Lozano‐Rojas, O., Mancheño‐Velasco, C., & Verdejo‐García, A. (2025) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.70027 · Cited by 9
Metadata
- Authors
- Wong, F. Y., Yang, L., Yuen, J. W. M., Chang, K. K. P., & Wong, F. K. Y.
- Venue
- BMC Public Health
- Published
- 2018-09-12
- Volume
- 18
- Issue
- 1
- Pages
- 1113-1113
- ISSN
- 1471-2458 (ISSN-L)
- OpenAlex
- W2891841816
- Cited by
- 396
- References
- 43
- FWCI
- 9.96
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wong, F. Y., Yang, L., Yuen, J. W. M., Chang, K. K. P., & Wong, F. K. Y. (2018). Assessing quality of life using WHOQOL-BREF: a cross-sectional study on the association between quality of life and neighborhood environmental satisfaction, and the mediating effect of health-related behaviors. BMC Public Health. https://doi.org/10.1186/s12889-018-5942-3
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