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Basic Research Article

Stability and change post-disaster: dynamic relations between individual, interpersonal and community resources and psychosocial functioning

Estabilidad y Cambio Post-Desastre: Relaciones Dinámicas entre los recursos Individuales, Interpersonales y Comunitarios y el Funcionamiento Psicosocial

资源保护(COR)理论将心理压力定义为资源实际或可能的损失或资源增加缺乏的结果。鉴于灾害中有极大风险发生资源损失,本研究旨在考察不同资源水平变化与心理社会功能变化之间的动态关系。

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Article: 1614821 | Received 16 Aug 2018, Accepted 19 Apr 2019, Published online: 29 May 2019

Figures & data

Table 1: Types of resources.

Table 2: Sample descriptive information and drop-out analysis.

Table 3. Zero-order correlation of variables in the model.

Table 4. Means and variances of latent differences constructs.

Table 5. Standardised regression coefficients in single multivariate regression models predicting latent difference scores in PTS and depression symptoms and life satisfaction with latent difference scores in resources.

Figure 1. Standardised coefficients in multiple multivariate regression model predicting latent difference scores in PTS and depression symptoms and life satisfaction with latent difference scores in resources.

Note: Ind = Individual resources; Int = Interpersonal resources; CR = Community resources; Δ = latent difference scores. Subscript 1 denotes first measurement point (T1), subscript 2 denotes second measurement point (T2).Measurement models and correlations between resources and psychosocial outcomes at T1 not shown for simplicity; Ind1:PTS1 (r = −.46; p = <.001); Ind1:Dep1 (r = −.4; p < .001); Ind1:LS1 (r = .49; p = <.001); Int1: PTS1 (r = −.29; p = <.001); Int1:Dep1 (r = −.27; p = <.001); Int1:LS1 (r = .46; p = <.001);CR1:PTS1 (r = .21; p = .003); CR1:Dep1 (r = −.16; p = .02); CR1:LS1 (r = .22; p = .003);*p < .05. **p < .01. ***p < .001.
Figure 1. Standardised coefficients in multiple multivariate regression model predicting latent difference scores in PTS and depression symptoms and life satisfaction with latent difference scores in resources.

Table A1. Model fit results for testing measurement invariance across measurement points for constructs in the model.