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2019
DOI: 10.5194/nhess-19-2371-2019
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“We can help ourselves”: does community resilience buffer against the negative impact of flooding on mental health?

Abstract: Abstract. Empirical evidence of the relationship between social support and post-disaster mental health provides support for a general beneficial effect of social support (main-effect model; Wheaton, 1985). From a theoretical perspective, a buffering effect of social support on the negative relationship between disaster-related stress and mental health also seems plausible (stress-buffering model; Wheaton, 1985). Previous studies, however, (a) have paid less attention to the buffering effect of social support … Show more

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Cited by 20 publications
(19 citation statements)
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“…People affected are analysed regarding their preparedness, household damages [17,18], perception towards flood risk and capacities [19,20], or recovery [21]. There is increasing research about a shift towards governance and a greater role for citizens in flood risk management and flood resilience [22][23][24], especially within the area of risk perception and social vulnerability [24] or community resilience [25,26]. This is also an emerging topic in semi-quantitative studies and modelling [27].…”
Section: Introductionmentioning
confidence: 99%
“…People affected are analysed regarding their preparedness, household damages [17,18], perception towards flood risk and capacities [19,20], or recovery [21]. There is increasing research about a shift towards governance and a greater role for citizens in flood risk management and flood resilience [22][23][24], especially within the area of risk perception and social vulnerability [24] or community resilience [25,26]. This is also an emerging topic in semi-quantitative studies and modelling [27].…”
Section: Introductionmentioning
confidence: 99%
“…It should be noted that the financial damage was the most severe for flash floods, while the psychological burden and the perceived recovery were the worst for residents who experienced dike breaches in 2013, who are then followed by the flash flood cases (Table 3). Maybe the better recovery among severe cases in 2016 is owing to the stronger community resilience that was found to buffer psychological burden in Simbach and its surroundings (Masson et al, 2019) as cases from Simbach constitute almost 37 % of this subsample (57 of 153 cases). Therefore, this finding needs more cases studies for a confirmation.…”
Section: Financial Flood Impacts and Perceived Recoverymentioning
confidence: 99%
“…Studies show that more connections to social networks that can help to provide resources after disasters inhibit negative impacts on mental health (Wind, Fordham, and Komproe, 2011;Adeola and Picou, 2014;Flores, Camero, and Bayer, 2014;Matsuyama et al, 2016;Rung et al, 2017;Zahnow, Taylor, and Corcoran, 2019;Parks et al, 2020), even if these groups experience poorer mental health in the immediate disaster recovery period (Weil, Lee, and Shihadeh, 2012). This positive relationship extends to related facets of social capital like social cohesion (Masson et al, 2019) and cognitive social capital such as trust (Wind, Fordham, and Komproe, 2011). Moreover, disaster research reveals that social networks play an important role in mitigating the adverse consequences of disasters for individuals and households, including mental health, food insecurity, and slow recovery (Kaniasty and Norris, 2004;Felix and Afifi, 2015;Clay et al, , 2018.…”
Section: Social Capital and Mental Healthmentioning
confidence: 99%