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Associations between demographic characteristics and resilience factors: A self-report survey

Objective: In 2014, Malaysia suffered a severe flood disaster and many people lost their home and belongings. Despite regular flooding in this area, the status of community disaster resilience (CDR) is unknown. This paper thus aims to assess the association between demographic characteristics and co...

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Main Author: Mohamed Ludin, Salizar
Format: Article
Language:English
Published: Kulliyyah of Nursing, IIUM 2018
Subjects:
HT51 Human settlements. Communities
RT Nursing
Online Access:http://irep.iium.edu.my/61935/1/IJCS_Associations%20Between%20Demographic%20Characteristics%20and%20Resilience%20Factors_2018.pdf
http://irep.iium.edu.my/61935/
http://journals.iium.edu.my/ijcs/index.php/ijcs/issue/archive
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spelling my.iium.irep.619352018-02-14T07:47:39Z http://irep.iium.edu.my/61935/ Associations between demographic characteristics and resilience factors: A self-report survey Mohamed Ludin, Salizar HT51 Human settlements. Communities RT Nursing Objective: In 2014, Malaysia suffered a severe flood disaster and many people lost their home and belongings. Despite regular flooding in this area, the status of community disaster resilience (CDR) is unknown. This paper thus aims to assess the association between demographic characteristics and community disaster resilience factors. Methods: A cross-sectional study was completed using the Conjoint Community Resiliency Assessment Measure (CCRAM28) questionnaire six months after the flood event occurred. All selected respondents who met the inclusion criteria were recruited, and IBM SPSS software was used to undertake descriptive and inferential analysis. Results: A total of 386 respondents completed the questionnaires. Respondents were mostly female (57%); married (83.9%); with children under 17 years old (58.8%); from villages or rural area (97.2%); living in basic housing (95.6%); of average income; Muslim (97.5%); educated to primary or secondary level (81.1%); and not involved with any community organizations (95.1%), including volunteering, emergency teams, or military service. The mean age was 49 years, and length of time living in the area ranged from 1 to 85 years. CDR scores ranged between medium (2.34- 3.66) and high (3.67- 5.00). An analysis of the results showed that only gender (p = 0.003) and education (p = 0.001) were significantly related to CDR level. Positive and strong correlations were seen between resilience factors, however, particularly leadership (p = 0.001), collective efficacy (p = 0.001); preparedness (p = 0.001); place attachment (p = 0.001); and social trust (p = 0.001). Conclusion: The study provides a timely insight into the impact of demographic characteristics and resilience factors in Kelantan, developing the knowledge base needed to create comprehensive, improved community-relevant strategies for the future. This assessment enables top-down initiatives to better understand resilience levels, and this could act as tool to enable the government to prepare communities for future disasters or emergency events. Kulliyyah of Nursing, IIUM 2018-01-31 Article REM application/pdf en http://irep.iium.edu.my/61935/1/IJCS_Associations%20Between%20Demographic%20Characteristics%20and%20Resilience%20Factors_2018.pdf Mohamed Ludin, Salizar (2018) Associations between demographic characteristics and resilience factors: A self-report survey. International Journal of Care Scholars, 1 (1). pp. 22-28. (In Press) http://journals.iium.edu.my/ijcs/index.php/ijcs/issue/archive
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic HT51 Human settlements. Communities
RT Nursing
spellingShingle HT51 Human settlements. Communities
RT Nursing
Mohamed Ludin, Salizar
Associations between demographic characteristics and resilience factors: A self-report survey
description Objective: In 2014, Malaysia suffered a severe flood disaster and many people lost their home and belongings. Despite regular flooding in this area, the status of community disaster resilience (CDR) is unknown. This paper thus aims to assess the association between demographic characteristics and community disaster resilience factors. Methods: A cross-sectional study was completed using the Conjoint Community Resiliency Assessment Measure (CCRAM28) questionnaire six months after the flood event occurred. All selected respondents who met the inclusion criteria were recruited, and IBM SPSS software was used to undertake descriptive and inferential analysis. Results: A total of 386 respondents completed the questionnaires. Respondents were mostly female (57%); married (83.9%); with children under 17 years old (58.8%); from villages or rural area (97.2%); living in basic housing (95.6%); of average income; Muslim (97.5%); educated to primary or secondary level (81.1%); and not involved with any community organizations (95.1%), including volunteering, emergency teams, or military service. The mean age was 49 years, and length of time living in the area ranged from 1 to 85 years. CDR scores ranged between medium (2.34- 3.66) and high (3.67- 5.00). An analysis of the results showed that only gender (p = 0.003) and education (p = 0.001) were significantly related to CDR level. Positive and strong correlations were seen between resilience factors, however, particularly leadership (p = 0.001), collective efficacy (p = 0.001); preparedness (p = 0.001); place attachment (p = 0.001); and social trust (p = 0.001). Conclusion: The study provides a timely insight into the impact of demographic characteristics and resilience factors in Kelantan, developing the knowledge base needed to create comprehensive, improved community-relevant strategies for the future. This assessment enables top-down initiatives to better understand resilience levels, and this could act as tool to enable the government to prepare communities for future disasters or emergency events.
format Article
author Mohamed Ludin, Salizar
author_facet Mohamed Ludin, Salizar
author_sort Mohamed Ludin, Salizar
title Associations between demographic characteristics and resilience factors: A self-report survey
title_short Associations between demographic characteristics and resilience factors: A self-report survey
title_full Associations between demographic characteristics and resilience factors: A self-report survey
title_fullStr Associations between demographic characteristics and resilience factors: A self-report survey
title_full_unstemmed Associations between demographic characteristics and resilience factors: A self-report survey
title_sort associations between demographic characteristics and resilience factors: a self-report survey
publisher Kulliyyah of Nursing, IIUM
publishDate 2018
url http://irep.iium.edu.my/61935/1/IJCS_Associations%20Between%20Demographic%20Characteristics%20and%20Resilience%20Factors_2018.pdf
http://irep.iium.edu.my/61935/
http://journals.iium.edu.my/ijcs/index.php/ijcs/issue/archive
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score 13.211869

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