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| Prevalence and psychosocial correlates of the fear of crime in older Chinese | | Author(s) | Nan Qin, Elsie Yan |
| Journal title | Journal of Adult Protection, vol 16, no 5, 2014 |
| Publisher | Emerald, 2014 |
| Pages | pp 264-275 |
| Source | www.emeraldinsight.com/jap.htm |
| Keywords | Crime ; Mental health [elderly] ; Anxiety ; China. |
| Annotation | The purpose of this paper was to examine the prevalence and psychosocial correlates of fear of crime in an older Chinese population. An attempt was made to test a theoretical model which integrated the vulnerability model, `broken windows' theory, victimisation theory and risk interpretation model. A cross-sectional survey was conducted with 453 older adults from a representative sample recruited from the city of Kunming using stratified sampling methods. More than half of the study participants reported fear of one or more types of depicted common crime. By comparison, a smaller percentage reported fear of domestic violence (FDV). Correlational analysis indicated different correlates for fear of common crime (FCC) and FDV. Female gender, a younger age, poor financial and health statuses, perception of greater social instability and neighbourhood disorder, direct and/or indirect victimisation and perception of a higher risk of victimisation were significantly associated with higher levels of FCC. Limited social networks, perception of greater neighbourhood disorder, direct and/or indirect victimisation and perception of a higher risk of victimisation were salient correlates of FDV. The results of hierarchical regression analyses showed that the integrated model explained 37 and 43 percent of the variance in FCC and FDV, respectively. This study found diverse patterns in terms of the prevalence and risk factors for FCC and FDV. The findings have important implications for policy, practice and research. (JL). |
| Accession Number | CPA-150626217 A |
| Classmark | TWA: D: ENP: 7DC |
Data © Centre for Policy on Ageing |
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| ...from the Ageinfo database published by Centre for Policy on Ageing. |
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