Dorothy N S Chan1, Winnie K W So2, Kai C Choi2, Sharmila Gurung3. 1. The Nethersole School of Nursing, The Chinese University of Hong Kong, 6-8/F, Esther Lee Building, Shatin, New Territories, Hong Kong, China. Electronic address: dorothycns@cuhk.edu.hk. 2. The Nethersole School of Nursing, The Chinese University of Hong Kong, 6-8/F, Esther Lee Building, Shatin, New Territories, Hong Kong, China. 3. United Christian Nethersole Community Health Service, Unit 26-33, G/F, Kui On House, Wo Lok Estate, Kwun Tong, Kowloon, Hong Kong, China.
Abstract
PURPOSE: To develop an explanatory model, built on an ecological basis, and examine the relational effects of multilevel factors on screening behaviour among South Asian immigrant women. METHODS: This is a cross-sectional, exploratory correlational study using path analysis. 776 South Asian immigrant women were recruited from community in Hong Kong. A self-administered survey with eight sections covering socio-demographics, recommendations received from others, previous screening experience, knowledge of the disease and screening, attitudes and perceptions, level of acculturation, cultural barriers to screening and perception of cancer fatalism was used to collect data. Path analysis was done to test the hypothesised model. FINDINGS: The final model obtained an acceptable model fit with x2/df = 2.52, RMSEA = 0.044, CFI = 0.95 and TLI = 0.93. A total of 15 factors, ranging from intra-personal to community level, were identified as being associated with South Asian immigrant women's cervical cancer screening behaviour. Three factors at the community level (language use, modesty and crisis orientation) had an inter-relationship with three intra-personal factors (perceived barriers to screening, cancer fatalism and perceived benefits of screening) and hence affected screening uptake. CONCLUSIONS: South Asian women's cervical cancer screening behaviour is affected by multi-level factors. Efforts should be made to change the current health-promoting strategies and attract more involvement from appropriate stakeholders, incorporating cultural and socio-environmental components in future interventions.
PURPOSE: To develop an explanatory model, built on an ecological basis, and examine the relational effects of multilevel factors on screening behaviour among South Asian immigrant women. METHODS: This is a cross-sectional, exploratory correlational study using path analysis. 776 South Asian immigrant women were recruited from community in Hong Kong. A self-administered survey with eight sections covering socio-demographics, recommendations received from others, previous screening experience, knowledge of the disease and screening, attitudes and perceptions, level of acculturation, cultural barriers to screening and perception of cancer fatalism was used to collect data. Path analysis was done to test the hypothesised model. FINDINGS: The final model obtained an acceptable model fit with x2/df = 2.52, RMSEA = 0.044, CFI = 0.95 and TLI = 0.93. A total of 15 factors, ranging from intra-personal to community level, were identified as being associated with South Asian immigrant women's cervical cancer screening behaviour. Three factors at the community level (language use, modesty and crisis orientation) had an inter-relationship with three intra-personal factors (perceived barriers to screening, cancer fatalism and perceived benefits of screening) and hence affected screening uptake. CONCLUSIONS: South Asian women's cervical cancer screening behaviour is affected by multi-level factors. Efforts should be made to change the current health-promoting strategies and attract more involvement from appropriate stakeholders, incorporating cultural and socio-environmental components in future interventions.
Authors: Cho Lee Wong; Kai Chow Choi; Bernard M H Law; Dorothy N S Chan; Winnie K W So Journal: Int J Environ Res Public Health Date: 2019-08-23 Impact factor: 3.390
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Authors: Daniela Lemmo; Maria Luisa Martino; Anna Rosa Donizzetti; Maria Francesca Freda; Daniela Caso Journal: Int J Environ Res Public Health Date: 2022-09-01 Impact factor: 4.614