Background In disaster-prone areas, residents’ disaster adaptation and resilience are important components of community resilience. This study aimed to assess the level of disaster adaptation and resilience among residents and to analyze its influencing factors. Methods A cross-sectional study was conducted in Guangdong Province, China, from November 2023 to July 2024. A total of 3,217 residents were recruited using a purposive convenience sampling method with geographic quotas. Due to the overrepresentation of females in the sample, post-stratification weighting was applied to adjust for gender imbalance. Disaster adaptation and resilience levels were assessed using the Disaster Adaptation and Resilience Scale. The total scores were categorized into four levels based on quartiles (P25, P50, and P75). Multiple linear regression was used to identify associated factors, and a sensitivity analysis was performed to assess the robustness of the results. Results A total of 3,181 valid questionnaires were collected in this survey, yielding an effective response rate of 98.88%. After weighting, the final sample size was 3,182. The total disaster adaptation and resilience score was 115.61 ± 36.36, and the item mean score was 2.57 ± 0.81, indicating a relatively upper-middle level based on the quartile classification (P50 = 111; P75 = 140). Among the five dimensions, optimism had the highest score (2.62 ± 0.89), whereas physical resources had the lowest score (2.49 ± 0.94). Weighted multiple linear regression analysis showed that health status (β = 0.140, p < 0.001), actively following disaster-related media (β = 0.099, p < 0.001), direct experience of disaster events (β = −0.075, p < 0.001), marital status (β = −0.072, p < 0.001), disaster preparedness (prepared: β = 0.043, p = 0.022; planned but not yet acted: β = −0.039, p = 0.034), and gender (β = 0.036, p = 0.040) were associated with residents’ disaster adaptation and resilience. Sensitivity analysis showed that the results for the main variables were generally consistent with the primary analysis, although slight differences were observed for some covariates. Conclusions This study provides scientific evidence for improving disaster adaptation and resilience among residents in disaster-prone coastal areas of China and for developing public health intervention strategies.

A cross-sectional study on disaster adaptation and resilience among residents in Guangdong Province, China and analysis of its influencing factors

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2026年6月15日

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Hanxi Chen,
Guandie Hong,
Siyin Chen,
Yingwen Huang,
Xin Ma,
Siyi Huang

摘要

Background

In disaster-prone areas, residents’ disaster adaptation and resilience are important components of community resilience. This study aimed to assess the level of disaster adaptation and resilience among residents and to analyze its influencing factors.

Methods

A cross-sectional study was conducted in Guangdong Province, China, from November 2023 to July 2024. A total of 3,217 residents were recruited using a purposive convenience sampling method with geographic quotas. Due to the overrepresentation of females in the sample, post-stratification weighting was applied to adjust for gender imbalance. Disaster adaptation and resilience levels were assessed using the Disaster Adaptation and Resilience Scale. The total scores were categorized into four levels based on quartiles (P₂₅, P₅₀, and P₇₅). Multiple linear regression was used to identify associated factors, and a sensitivity analysis was performed to assess the robustness of the results.

Results

A total of 3,181 valid questionnaires were collected in this survey, yielding an effective response rate of 98.88%. After weighting, the final sample size was 3,182. The total disaster adaptation and resilience score was 115.61 ± 36.36, and the item mean score was 2.57 ± 0.81, indicating a relatively upper-middle level based on the quartile classification (P₅₀ = 111; P₇₅ = 140). Among the five dimensions, optimism had the highest score (2.62 ± 0.89), whereas physical resources had the lowest score (2.49 ± 0.94). Weighted multiple linear regression analysis showed that health status (β = 0.140, p < 0.001), actively following disaster-related media (β = 0.099, p < 0.001), direct experience of disaster events (β = −0.075, p < 0.001), marital status (β = −0.072, p < 0.001), disaster preparedness (prepared: β = 0.043, p = 0.022; planned but not yet acted: β = −0.039, p = 0.034), and gender (β = 0.036, p = 0.040) were associated with residents’ disaster adaptation and resilience. Sensitivity analysis showed that the results for the main variables were generally consistent with the primary analysis, although slight differences were observed for some covariates.

Conclusions

This study provides scientific evidence for improving disaster adaptation and resilience among residents in disaster-prone coastal areas of China and for developing public health intervention strategies.