Social support from bonding and bridging relationships in disaster recovery: Findings from a slow-onset disaster

Nguyen‐Trung, Kien; Forbes‐Mewett, Helen; Arunachalam, Dharmalingam

doi:10.1016/j.ijdrr.2020.101501

Cited by 41 publications

(26 citation statements)

References 38 publications

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“…However, the protective effect of social support depends on the nature of the adverse event: in the case of visibly traumatic events, considered as such by the community where the survivor appears to be a hero, victims have more access to social support and benefit more from it, while in the case of ambiguous, private events, characterized by social stigma or characterized by impotence or shame (such as rape, child abuse, accidents in which the victim is guilty), it is much less likely that a social support network is activated (Charuvastra and Cloitre, 2008 ; Mafune et al, 2019 ; Nguyen-Trung et al, 2020 ; Sanandres et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Development and Preliminary Italian Validation of the Emergency Response and Psychological Adjustment Scale

2021

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Evaluating the personal adaptation response to the emergency situations is very important for the prevention of mental distress, for the activation of network and community synergies and for the planning and implementation of appropriate psycho-social interventions. So far there are no short tools for the overall assessment of cognitive, emotional and behavioral responses of psychological adaptation to the emergency in the psychometric panorama. The Emergency Response and Psychological Adjustment Scale (ERPAS) was administered to a sample of 1,088 participants, while the concurrent validity was tested through a second administration to 600 participants along with the GSE (Generalized Self-Efficacy Scale) and the BDI-II (Beck Depression Inventory-II). Confirmatory factor analysis bore out a five-factor solution (including 18 items) with good fit indices of adaptation to data, χ2/df = 1.440, RMSEA = 0.028, RMSEA 90% CI = 0.018–0.038, GFI = 0.996, AGFI = 0.959, CFI = 0.982, and NFI = 0.944. Evidence of convergent validity was provided by the significant correlations with variables such as cognitive and somatic depression, and perceived general self-efficacy. The analyses also showed a strong invariance across gender. The ERPAS tool prefigures application during the assessment in multiple emergency contexts (e.g. earthquakes, floods, pandemics, terrorist attacks, war events, major accidents, major fires). This validation study of the ERPAS has shown that this version is a reliable and valid measurement for assessing people's modes of personal response (cognitive, emotional, behavioral) in emergency contexts.

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Section: Introductionmentioning

confidence: 99%

Development and Preliminary Italian Validation of the Emergency Response and Psychological Adjustment Scale

2021

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“…In such cases, it seems clear that those with large social networks and strong social connectedness would reciprocate additional support to cope with the negative effects of the disaster they experience [ 9 , 14 , 72 , 73 ]. In addition, survivors who participate in mutual exchanges to a greater extent have increased interconnectedness, faith in attitudes toward others, sense of belonging, and social cohesion, all of which decreases depression and increases the individual’s psychological well-being [ 14 , 74 , 75 , 76 , 77 , 78 ].This suggests that individuals in high reciprocal exchanges have a lower level of depression relative to individuals who have lower levels of reciprocity or non-reciprocal relationships.…”

Section: Discussionmentioning

confidence: 99%

How Does Reciprocal Exchange of Social Support Alleviate Individuals’ Depression in an Earthquake-Damaged Community?

Pandit

Nakagawa

2021

IJERPH

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There is ample evidence to indicate the direct effects of receiving social support on mental health during and after a disaster. However, the importance of reciprocal exchanges of social support (i.e., balanced receipt and provision of social support) in maintaining the mental health status of individuals is not widely recognized. Using equity theory and reciprocity norms as a conceptual base, we distinguished two types of social support, namely, emotional support and instrumental support, and examined the effects of reciprocal exchanges of types of support on depression in survivors of an earthquake-damaged community. To collect data, in 2019, a questionnaire survey was conducted among 295 survivors of the 2015 Gorkha Earthquake in a rural village in Nepal. Our results showed that the relationship between reciprocal exchange of support and depression varied depending on the types of support. The amount of emotional support received by the individual alleviated his/her depression only when accompanied by giving emotional support. By contrast, the net amount of instrumental support given by the individual increased his/her depression. The practical implications of the study are discussed.

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“…According to the social support theory proposed by Cohen and Wills [48], social support can buffer the adverse effects of stress and frustration by providing information, emotional support, and material help; they also stated that the more social support individuals receive, the better they can cope with various challenges from their environment. In a study of disaster-affected households in the Vietnamese Mekong Delta, Nguyen-Trung et al [32] found that, while connecting social capital during the rehabilitation process, linking social capital was critical for long-term recovery. In a study of Zhangye County, Gansu Province, China, Tan et al [49] found that social supports can play a mediating role in minimizing external shock and drought risk.…”

Section: The Impact Of Social Support On Farmers' Confidence In Agricultural Production Recoverymentioning

confidence: 99%

“…When farmers are unable to bear losses, their production recovery will be affected. However, appropriate external support-such as village committees, township governments, banks, or other institutions-plays a positive role in alleviating the disaster's impact and restoring agricultural production and life [30][31][32]. For example, Arouri et al [33] found that credit is one of the main post-management strategies for farmers after disasters.…”

Section: Introductionmentioning

confidence: 99%

Determinants of Farmers’ Confidence in Agricultural Production Recovery during the Early Phases of the COVID-19 Pandemic in China

et al. 2021

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The COVID-19 pandemic has adversely impacted the agricultural supply chain, export of agricultural products, and overall food security. However, minimal exploration has been attempted of farmers’ confidence in agricultural production recovery after the COVID-19 pandemic. Therefore, this study intends to explore the determinants of farmers’ confidence in agricultural production recovery in China during the early stages of the COVID-19 pandemic. More specifically, we analyzed the relationship between risk expectation and social support on the farmers’ confidence in agricultural production recovery by using the ordered probit model. Cross-sectional survey data were collected from February to March 2020 from 458 farm households in the 7 provinces of China to produce the findings. We found that the risk expectation of farmers had a significant negative impact on farmers’ confidence in agricultural production recovery. Social support seemingly had a significant positive impact on the farmers’ confidence in agricultural production recovery, and could play a supportive role in moderating the relationship between risk expectation and farmers’ confidence in recovery. However, social support alleviates the adverse effect of risk expectation on farmers’ confidence in agricultural production recovery to a certain extent. In addition, there were intergenerational differences in the effects of risk expectation and social support on farmers’ confidence in agricultural production recovery. These results imply that policies establishing the risk early warning mechanisms for agricultural production and strengthening the social support from governments and financial institutions are likely to significantly impact agricultural development in the post-COVID-19 era. The formal and informal risk minimization mechanisms should extend their support to vulnerable sectors such as agribusiness.

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Social support from bonding and bridging relationships in disaster recovery: Findings from a slow-onset disaster

Cited by 41 publications

References 38 publications

Development and Preliminary Italian Validation of the Emergency Response and Psychological Adjustment Scale

Development and Preliminary Italian Validation of the Emergency Response and Psychological Adjustment Scale

How Does Reciprocal Exchange of Social Support Alleviate Individuals’ Depression in an Earthquake-Damaged Community?

Determinants of Farmers’ Confidence in Agricultural Production Recovery during the Early Phases of the COVID-19 Pandemic in China

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