Impact of social capital on psychological distress and interaction with house destruction and displacement after the Great East Japan Earthquake of 2011

Changes in physical activity during the year after the Great East Japan Earthquake and future frailty in older survivors

AIM

This study examines whether changes in physical activity (PA) during the first year after the Great East Japan Earthquake and Tsunami (2011-2012) contributed to preventing the onset of future frailty among older survivors of the disaster.

METHODS

This study tracked 2561 physically active Japanese survivors aged ≥ 65 years (43.6% men; mean age 72.9 years) who had completed self-administered questionnaires in 2011 and 2012. PA levels for participants were classified into four categories based on ≥23 and <23 metabolic equivalent hours/week in 2011 and 2012: "consistently low," "decreasing," "increasing," and "consistently high." Frailty was defined as a Kihon Checklist score ≥ 5, which is used in the long-term care insurance system in Japan. Hazard ratios were calculated for the onset of frailty using a Cox proportional hazards model that fitted the proportional sub-distribution hazards regression model with weights for competing risks of death.

RESULTS

From 2012 to 2018, 283 men and 490 women developed frailty. Men with consistently high or increasing PA during the first year after the disaster had a lower risk of frailty. Furthermore, even increasing PA by walking for just 30 min/day prevented future frailty in men; however, this association between a change in PA and the decreased risk of frailty was not observed in women.

CONCLUSIONS

Older men who remained physically active or resumed PA at an early stage and at a low intensity, even after being physically inactive owing to the disaster, were able to prevent future frailty. Geriatr Gerontol Int 2024; 24: 563-570.

Assessment of post-traumatic stress disorder (PTSD) in elderly survivors of the Wenchuan earthquake: A cross-sectional study

OBJECTIVE

Post-traumatic stress disorder (PTSD) is a prevalent condition characterized by prolonged psychological distress following traumatic events encompassing serious health threats, domestic abuse, and natural disasters. The onset and persistence of PTSD can be attributed to advanced age. This study aimed to explore the occurrence and influencing factors of enduring post-traumatic stress disorder (PTSD) in survivors aged 60 years and over in the main area of the 2008 Wenchuan earthquake 10 years after the disaster.

METHODS

Data were collected using a multistage sampling method from individuals aged 60 years and older living in the main impacted areas of Wenchuan 10 years after the Wenchuan earthquake. The PTSD Checklist-Civilian Version (PCL-C) was used to evaluate PTSD symptoms. We evaluated participants based on their PTSD symptoms: those exhibiting and those without. The latter group was four times the size of the former and was matched based on gender and age (within ± 2 years). Conditional logistic regression was used to discern the risk factors.

RESULTS

Out of the total, 56 participants were recognized as having probable PTSD as per the PCL-C checklist, leading to a rate of 9.4% (56/588). The univariate conditional logistic regression values showed that playing Mahjong/poker (odds ratio (OR) = 0.394, 95% confidence interval (CI) = 0.171-0.911) and displacement (OR = 0.446, 95% CI = 0.220-0.907) were protective factors for the long-term mental health of survivors in the hard-hit areas, while the presence of a 2-week illness (OR = 3.605, 95% CI = 1.751-7.424), possessing insurance (OR = 0.250, 95% CI = 0.072-0.864), suffering from a chronic ailment (OR = 3.132, 95% CI = 1.2-8.174), and having an injured family member (OR = 2.26, 95% CI = 1.136-4.496) emerged as risk factors for PTSD symptoms. Multivariate analysis indicated that the absence of insurance and prevalence of 2-week illness correlated with increased PTSD symptoms.

CONCLUSIONS

Ten years after the Wenchuan earthquake, the prevalence of probable PTSD remained significantly high in the elderly population. The major risk factors were the absence of insurance and the occurrence of a 2-week illness. Policymakers should incorporate these findings when devising strategies for aging societies.

Psychological Support for Earthquake Survivors in Turkey and Syria

Introduction

Thousands of children and families are in danger after two powerful earthquakes and dozens of aftershocks struck the border between Turkey and Syria. Thus, earthquake survivors in Turkey and Syria have an urgent need for psychological help. The objectives of this study were to (1) describe the mental health support services offered to people affected by the earthquakes that ravaged parts of Turkey and Syria, (2) discuss the challenges faced by the psychological support services, and (3) highlight recommendations for improving mental health services for earthquake survivors.

Methods

A questionnaire with open-ended questions was E-mailed to nongovernmental organizations that provide mental health and psychological support to earthquake-affected individuals in Turkey and Syria. The organizations were requested to describe their activities and the obstacles they had to face to deliver these psychological support services. Using content analysis, the gathered statements were examined.

Results

Mental health professionals from 23 nongovernmental organizations responded. The earthquake survivors were mostly provided with Eye Movement Desensitization and Reprocessing and spiritual support. Human resources and financial issues were the most reported concerns among the organizations that responded to the current study.

Conclusions

While dealing with the long-term consequences of a disaster, it is essential to coordinate the efforts of many organizations.

Social Capital Promotes a Healthier Diet among Young Adults by Reducing Psychological Distress

Studies have revealed the links between social capital and diet. However, the mediating role of psychological distress in this relationship has been understudied. This study aims to identify direct and indirect relationships between social capital and adherence to the Mediterranean diet among Lithuanian young adults and identify the mediating role of psychological distress in this relationship. Data were collected from 1336 young adults, aged 18-36 years; 40.5% were males. MEDAS was used to measure adherence to a healthy diet. Social capital was measured by eight separate items in terms of family support, social support, social cohesion, social trust, communication, collaboration, participation, and distant communication. Kessler's six-item scale was used to assess psychological distress. Higher family support (β = 0.105), higher social participation (β = 0.294), and lower psychological distress (β = 0.073) directly predicted higher adherence to the Mediterranean diet. Social capital was indirectly related to adherence to the Mediterranean diet, with standardized effect sizes of 0.02-0.04, indicating small effect sizes. Thus, psychological distress mediates the relationship between social capital and a healthy diet. Given that social capital is related to psychological health and both directly and indirectly predicts healthy behavior in young adults, further longitudinal and experimental research is required to measure the effects of the intervention on incorporating, facilitating, encouraging, and implementing measures to strengthen the social connection between people and groups of people within the community, neighborhood, and organizations.

Gender differences in social environmental changes associated with smoking: a cross-sectional study from Chinese internal migrants

OBJECTIVES

To identify clues for women's tobacco control, this study analyses the gender differences in social environmental changes associated with smoking and the interaction between the environment and individuals' social integration.

DESIGN, SETTING AND PARTICIPANTS

A cross-sectional design and secondary analysis were used among Chinese internal migrants. Data were from the 2012 Migrant Dynamics Monitoring Survey in China with participants aged 15-59 years old (75 416 women and 83 140 men) who resided in cities for more than 1 month.

PRIMARY AND SECONDARY OUTCOME MEASURES

Social environmental changes were measured by differences in smoking prevalence and women's empowerment between the migrant-receiving province (MRP) and migrant-sending province (MSP). Social participation and duration of stay (DOS) were adopted as indicators of social integration. Stratified analysis and binary logistic regression models were used to determine the dependent variable (smoking status) and environmental changes after controlling for age, education, income and happiness.

RESULTS

Differences in the smoking prevalence environment (lower in MRP, OR 0.70, 95% CI 0.60 to 0.83; higher rate in MRP, OR 1.79, 95% CI 1.35 to 2.37) and women's empowerment (lower rate in MRP, OR 0.80, 95% CI 0.68 to 0.97; higher rate in MRP, OR 1.15, 95% CI 1.00 to 1.33) between MRP and MSP were positively correlated with women's smoking. In men, however, migrating to an area with lower smoking prevalence could not reduce smoking risk, whereas moving to an area with higher women's empowerment could. A long DOS was an independent risk factor for smoking in women (ranged from 1.20 to 2.00 in various environmental changes scenarios) but a protective factor for men. An interaction between environmental changes and social integration could not be verified.

CONCLUSIONS

Tobacco control strategies should consider gender differences, especially women who are experiencing social environmental changes.

Relationship between the housing coldness/warmth evaluation by CASBEE Housing Health Checklist and psychological distress based on TMM Community-Based Cohort Study: a cross-sectional analysis

OBJECTIVES

Previous studies have reported the relationship between housing environment and health, although due to cost and effort, it was difficult to conduct housing condition surveys on a large scale. The CASBEE Housing Health Checklist (the Checklist) made it possible to easily evaluate the housing condition from the resident's perspective. This study examined the relationship between housing coldness/warmth evaluation using the Checklist and psychological distress in a large-scale general Japanese population.

STUDY DESIGN

A cross-sectional study.

METHODS

We analysed data from 29,380 people aged ≥20 years who lived in Miyagi Prefecture, Japan. As an assessment of housing coldness/warmth, we used the Checklist. We classified participants' total scores on the Checklist related to coldness/warmth into quartiles. The Kessler 6 scale was used as an indicator of psychological distress. Multivariable logistic regression models were used to estimate the adjusted odds ratio (OR) and 95% confidence intervals (CIs). Adjusted OR and P-values for linear trends were calculated using the quartiles of the Checklists' score.

RESULTS

Among participants in Q1 (i.e., poorer subjective house condition), the percentage of people with psychological distress was high. Compared to the highest quartile, Q1 showed poorer evaluation of housing coldness/warmth, and higher OR for psychological distress. The OR (95% CI) of psychological distress for Q3, Q2, and Q1 compared with Q4 were 1.93 (1.74-2.14), 2.82 (2.55-3.12), and 5.78 (5.25-6.35), respectively.

CONCLUSIONS

Housing coldness/warmth evaluation was significantly related to psychological distress. This finding suggests that maintaining a comfortable thermal environment at home could be important for residents' mental health.

Lessons learned from psychosocial support and mental health surveys during the 10 years since the Great East Japan Earthquake: Establishing evidence-based disaster psychiatry

Post-disaster mental health and psychosocial support have drawn attention in Japan after the 1995 Great Hanshin-Awaji Earthquake, with mental health care centers for the affected communities being organized. After the catastrophe, a reconstruction budget was allocated to organize mental health care centers to provide psychosocial support for communities affected by the 2007 Chūetsu offshore earthquake, the 2011 Great East Japan Earthquake, and the 2016 Kumamoto Earthquake. There were several major improvements in post-disaster mental health measures after the Great East Japan Earthquake. The Disaster Psychiatric Assistance Team system was organized after the earthquake to orchestrate disaster response related to the psychiatric health system and mental health of the affected communities. Special mental health care efforts were drawn to the communities affected by the nuclear power plant accident through Chemical, Biological, Radiological, Nuclear, and high yield Explosives, being succeeded by measures against the coronavirus pandemic. As another new movement after the Great East Japan Earthquake, the number of surveys involving communities affected by disasters has soared. More than 10 times the number of scientific publications were made in English during the decade following the Great East Japan Earthquake, compared with the previous decades. In this review, we examined the results and issues acquired in the 10 years since the Great East Japan Earthquake, proposing evidence-based disaster psychiatry as the direction of future mental health measures related to emergency preparedness and response.

Association Between Serious Psychological Distress and Loneliness During the COVID-19 Pandemic: A Cross-Sectional Study with Pregnant Japanese Women

Purpose

Pregnant women are vulnerable to stress. The coronavirus disease 2019 (COVID-19) has caused a global pandemic and created significant stress for many people. Social distancing to reduce the spread of COVID-19 has also reduced social interactions, which has increased social isolation and loneliness. Loneliness is thought to increase perceived stress, cause psychological distress, and increase the risk of mental illness, such as depression. This study examined the association between serious psychological distress (SPD) and loneliness during the COVID-19 pandemic in pregnant Japanese women.

Patients and Methods

An internet survey of 1022 pregnant women in Japan was conducted between June 1 and July 21, 2021. The 6-item Kessler Psychological Distress Scale, 3-item Revised UCLA Loneliness Scale, and Fear of COVID-19 Scale were used as measurement tools. The prevalence of SPD was defined as a K6 score of ≥13.

Results

The prevalence of SPD was 16.5%. Multivariate analysis revealed that the risk factors for SPD were younger age (odds ratio [OR] 1.05; 95% confidence interval [CI] 1.01 to 1.10; p = 0.020), history of abortion or miscarriages (OR 1.56; 95% CI 1.04 to 2.36; p = 0.034), unemployment (OR 1.67; 95% CI 1.14 to 2.45; p = 0.008), fear of COVID-19 (OR, 1.12; 95% CI, 1.08 to 1.17; p < 0.001), and loneliness (OR 1.53; 95% CI 1.38 to 1.70; p < 0.001).

Conclusion

Pregnant women in Japan showed a high prevalence of SPD. Younger age, unemployment, history of abortion or miscarriages, fear of COVID-19, and loneliness were independently associated with SPD. Clinicians and health officials should pay particular attention to the psychological health of pregnant women during the COVID-19 pandemic.

Impact of type of reconstructed residence on social participation and mental health of population displaced by disasters

After disasters, people are often forced to reconstruct or move to new residences. This study aimed to reveal the association between the types of reconstructed residences and psychosocial or psychiatric conditions among the population. A total of 1071 adult residents in a coastal town, whose houses were destroyed by the tsunami caused by the Great East Japan Earthquake, enrolled in the study five years after the disaster. The type of reconstructed post-disaster residences (reconstructed on the same site/disaster-recovery public condominium/mass-translocation to higher ground/privately moving to remote areas) and the current psychosocial indicators were investigated. The results revealed that individuals living in public condominiums showed significantly worse scores on the Lubben Social Network Scale-6 (p < 0.0001) and the Center for Epidemiologic Studies Depression Scale (p < 0.0001), and slightly worse scores on the Kessler Psychological Distress Scale (p = 0.035) and the Impact of Event Scale-Revised (p = 0.028). Lower psychosocial indicator scores in the public condominium group were more remarkable in younger adults aged < 65 years. Insomnia evaluated using the Athens Insomnia Scale was not different among the four residential types. In summary, residents moving into disaster-recovery public condominiums are likely to have less social interaction, be more depressed, and may need additional interventions.

Individual and community social capital, mobility restrictions, and psychological distress during the COVID-19 pandemic: a multilevel analysis of a representative US survey

This paper explores the role of social capital in mitigating the mental health harms of social/mobility restrictions instigated in the wake of the COVID-19 pandemic. We test whether: (a) social capital continued to predict lower mental distress during the pandemic; and (b) whether social capital buffered (moderated) the harm of social/mobility restrictions on psychological distress. In addition, we test the level at which social capital mitigation effects operated, i.e., at the individual- and/or contextual-level. To do so, we apply multilevel models to three waves of the COVID-19 Household Impact Survey consisting of probability samples of U.S. adults (with the average interview completion rate of 93%). In a novel approach, we explore two modes of capturing contextual social capital: aggregated individual-level survey responses and independently measured social capital indices (SCIs). Findings show that at the individual level social capital was associated with lower psychological distress. It also buffered the harm of restrictions: increasing restrictions had a weaker effect on distress among individuals interacting with neighbors more frequently. Importantly, mitigating processes of contextual social capital appeared conditional on how it was measured. Using aggregated survey responses, contextual social capital had no direct effect on distress but exerted an additional buffering role: individuals in counties with higher average neighbor-interaction experienced a weaker impact of restrictions. Using the independent SCI measures, we found county social capital reduced distress. However, its negative effect on distress becomes increasingly weaker the more restrictions an individual reported: where individuals reported lower restrictions, higher county SCI reduced distress; however, where individuals reported higher restrictions, higher county SCI had no effect on distress. More restrictive environments thus cut individuals off from the benefits of higher county social capital as measured using the SCI.

Telemedicine Assessment for the Mental Health of Rural Residents Based on the Safety Degree of Housing in Seismically Active Regions

Earthquakes inevitably affect the mental health of local residents. In seismically active regions of Southwest China, local rural residents' dilapidated housing with poor seismic performance aggravates the impacts of earthquakes on their mental health. These residents' mental health is difficult to recognize because of the lack of appropriate assessment methods. In addition, rural residents in the area have a low socioeconomic status and cannot access adequate mental treatment. Thus, telemedicine could be an effective approach to assist mental health practice in such areas. However, the lack of telemedicine assessment factors in these areas makes it difficult to complete the correct triage and prioritization of rural residents' mental health quickly and effectively. To provide a foundation for applying telemedicine to assess the risk of mental health problems that rural residents in seismically active regions experience, this paper studied whether the degree of safety of housing can affect mental health. In this study, nine villages near the epicenter of the 2019 6.0-magnitude earthquake in Changning County, China were randomly selected, and 162 valid questionnaires were completed. SPSS statistical software was used to analyze the collected data. First, the satisfaction of rural residents with the degree of safety of housing significantly affected the K6 score and whether they suffered from mental problems. Second, the mental health of rural residents living in reinforced concrete frame structure housing was obviously superior to that of those living in other types of housing. Next, the most significant factor affecting mental health was the degree of wall cracks. Finally, a new approach was developed to assess and prioritize the mental health of rural residents by using degrees of housing safety and smart technology in seismically active regions. The telemedicine assessment approach is expected to be used in the future for mental health evaluation and the large-scale data scoring of rural residents.

Long-term Follow-up of Affected Residents After Lifting Evacuation Orders in Fukushima Prefecture, Japan: Findings from an Interview-Based Psychological Survey

We examined the relationship between social support and psychological variables, and investigated the status of social support among villagers whose evacuation order had been lifted. The survey used for the analysis is the data of FY 2018 and 2019. In fiscal year 2018, a written questionnaire was posted to 4828 registered residents of Iitate Village and 1405 valid responses were received. The main finding (in joint assessment by local and external experts) was the 'need for professional support' (191 respondents, 13.6%). Multivariate analysis found that among those living in permanent housing outside the village, the need for support was significantly more likely for those without emotional support, or instrumental support, and those not providing support. The 2019 follow-up showed a slight improvement in perceived social support (PSS). The associations between perceived social support and living environment suggest the need to strengthen social support measures in areas where evacuation orders are yet to be lifted, which will provide useful information with which to examine the effects of future support efforts.

The prevalence of psychological distress during pregnancy in Miyagi Prefecture for 3 years after the Great Eas t Japan Earthquake

Background

To examine changes in psychological distress prevalence among pregnant women in Miyagi Prefecture, which was directly affected by the Great East Japan Earthquake and tsunami, and compare it with the other, less damaged areas of Japan.

Methods

This study was conducted in conjunction with the Japan Environment and Children`s Study. We examined 76,152 pregnant women including 8270 in Miyagi Regional Center and 67,882 in 13 other regional centers from the all-birth fixed data of the Japan Environment and Children’s Study. We then compared the prevalence and risk of distress in women in Miyagi Regional Center and women in the 13 regional centers for 3 years after the disaster.

Results

Women in the Miyagi Regional Center suffered more psychological distress than those in the 13 regional centers: OR 1.38 (95% CI, 1.03–1.87) to 1.92 (95% CI, 1.42–2.60). Additionally, women in the inland area had a consistently higher prevalence of psychological distress compared to those from the 13 regional centers: OR 1.67 (95% CI, 1.18–2.38) to 2.19 (95% CI, 1.60–2.99).

Conclusions

The lack of pre-disaster data in the Japan Environment and Children’s Study made it impossible to compare the incidence of psychological distress before and after the March 2011 Great East Japan Earthquake. However, 3 years after the Great East Japan Earthquake, the prevalence of pregnant women with psychological distress did not improve in Miyagi Regional Center. Further, the prevalence of mental illness in inland areas was consistently higher than that in the 13 regional centers after the disaster.

Long-term effects of housing damage on survivors' health in rural China: Evidence from a survey 10 Years after the 2008 Wenchuan earthquake

BACKGROUND

Disaster experiences have long-term health effects. However, less is known about the pathways of the association between disaster experiences and people's long-term health. We aimed to examine the long-term (10-year) effect of housing damage in the 2008 Wenchuan earthquake on survivors' health and to explore the pathways of the long-term effect.

METHODS

We used data from a survey conducted in 2018 in rural areas affected by the 2008 Wenchuan earthquake. The survey collected information on housing damage caused by the earthquake from survivors aged 18 years old or above. Our primary outcome was dichotomous self-rated health in 2018. We considered decreased living standards and debt burden as mediators. To examine the long-term effect of housing damage on health, we performed multivariable binary logistic regression models. We also performed mediation analyses using the "KHB-method".

RESULTS

Compared with no/slight damage, serious damage (odds ratio (OR): 1.50, 95% confidence interval (CI): 1.11,2.04) and collapse (OR: 1.57, 95% CI: 1.13,2.18) were associated with a higher risk of poor health. Decreased living standards and debt burden mediated 8.49% and 4.79%, respectively, of the association between serious damage and poor health and 10.64% and 6.10%, respectively, of the association between collapse and poor health.

CONCLUSION

Housing damage in a natural disaster is a long-term risk for survivors' health. Long-term policies and interventions are necessary to protect and promote the health of survivors who experience housing damage. In addition to house reconstruction assistance, policies and interventions can be designed to promote living standards and financial situations to protect survivors' health.

Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms

The nature of the recovery process of posttraumatic stress disorder (PTSD) symptoms is multifactorial. The Massive Parallel Limitless-Arity Multiple-testing Procedure (MP-LAMP), which was developed to detect significant combinational risk factors comprehensively, was utilized to reveal hidden combinational risk factors to explain the long-term trajectory of the PTSD symptoms. In 624 population-based subjects severely affected by the Great East Japan Earthquake, 61 potential risk factors encompassing sociodemographics, lifestyle, and traumatic experiences were analyzed by MP-LAMP regarding combinational associations with the trajectory of PTSD symptoms, as evaluated by the Impact of Event Scale-Revised score after eight years adjusted by the baseline score. The comprehensive combinational analysis detected 56 significant combinational risk factors, including 15 independent variables, although the conventional bivariate analysis between single risk factors and the trajectory detected no significant risk factors. The strongest association was observed with the combination of short resting time, short walking time, unemployment, and evacuation without preparation (adjusted P value = 2.2 × 10⁻⁴, and raw P value = 3.1 × 10⁻⁹). Although short resting time had no association with the poor trajectory, it had a significant interaction with short walking time (P value = 1.2 × 10⁻³), which was further strengthened by the other two components (P value = 9.7 × 10⁻⁵). Likewise, components that were not associated with a poor trajectory in bivariate analysis were included in every observed significant risk combination due to their interactions with other components. Comprehensive combination detection by MP-LAMP is essential for explaining multifactorial psychiatric symptoms by revealing the hidden combinations of risk factors.

Impact of the Great East Japan Earthquake on the Employment Status and Mental Health Conditions of Affected Coastal Communities

The Great East Japan Earthquake devasted the old community in coastal areas characterized by primary industry. The number of unemployed people increased from 150,000 to 190,000 after the earthquake. All of the adult residents of Shichigahama (18 years old or older), located in the coastal area of the Miyagi prefecture, whose houses were totally or majorly damaged, were recruited for a survey conducted in October 2011. All of the residents who responded with written informed consent were included in this study. Among 904 individuals who had a job before the Great East Japan Earthquake, 19% became unemployed. Concerning gender and age, 9% of young men, 34% of elderly men, 21% of young women, and 49% of elderly women became unemployed. Concerning the type of industry, 38%, 15%, and 16% of people who had belonged to the primary, secondary, and tertiary industries, respectively, before the disaster became unemployed. Those who became unemployed exhibited a significantly higher risk of insomnia compared to those who maintained jobs. The study pointed out the severe impact of the Great East Japan Earthquake on populations who had belonged to the primary industry, especially among elderly women, and its effect on sleep conditions.

Evaluation of Trust Within a Community After Survivor Relocation Following the Great East Japan Earthquake and Tsunami

IMPORTANCE

Trust is a core component of social cohesion, facilitating cooperation and collective action in the face of adversity and enabling survivors to remain resilient. Residential stability is an important prerequisite of developing trusting relations among community members. However, little is known about whether the movement of internally displaced persons (IDPs) after a disaster might change community relations.

OBJECTIVE

We explored perceived changes in trust within 1 community directly impacted by the 2011 Great East Japan Earthquake and Tsunami.

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study examined survey data from 3594 residents of Iwanuma City, Japan, aged 65 years or older. Data were obtained from the Iwanuma Study-part of the Japan Gerontological Evaluation Study, a nationwide cohort study established in 2010-approximately 7 months before the disaster. All Iwanuma City residents age 65 years or older (8576 residents) were eligible to participate in 2010. The response rate was 59.0% (5058 residents). A follow-up survey was conducted in 2013, approximately 2.5 years after the disaster. Of the 4380 remaining participants who answered the baseline survey, 3594 were recontacted (follow-up rate, 82.1%). Data analysis was performed from July 1, 2019, to January 9, 2020.

EXPOSURES

The number of temporarily relocated Iwanuma City survivors within 100 m and 250 m of a nonrelocated resident's home address.

MAIN OUTCOMES AND MEASURES

Perceived changes in particularized trust (ie, trusting people from the same community) and generalized trust (trusting people from other communities) measured on a 5-point Likert scale.

RESULTS

Among 3250 nonrelocated residents (1808 [55.6%] women; mean [SD] age, 76.5 [6.2] years) of Iwanuma City included in the analytic sample, multivariable-adjusted multinomial logistic regression analyses found that each standard deviation increase in the influx of internally displaced persons (1 SD = 11 IDPs) within 250 m of a resident's home address was associated with higher odds of a decrease in the resident's particularized and generalized trust (odds ratio, 1.17; 95% CI, 1.04-1.32).

CONCLUSIONS AND RELEVANCE

The influx of IDPs in the host community appeared to be associated with an erosion of trust among locals. To avoid the erosion of social cohesion after a disaster, it may be crucial to provide opportunities for social interaction between old and new residents of communities.

Associations Between Community Social Capital and Preservation of Functional Capacity in the Aftermath of a Major Disaster

The strength of social connections in the community ("social capital") is hypothesized to be a crucial ingredient in disaster resilience. We examined whether community-level social capital is correlated with the ability to maintain functional capacity among older residents who experienced the 2011 Great East Japan Earthquake and Tsunami. The baseline of our cohort (mean age, 74 years) was established in 2010, 7 months before the disaster in Iwanuma, a Japanese city located 80 km from the epicenter. Disaster-related personal experiences (e.g., housing damage or relocation) were assessed through a follow-up survey (n = 3,594; follow-up rate, 82.1%) conducted in 2013, 2.5 years after the earthquake. Multiple membership multilevel models were used to evaluate the associations between functional capacity, measured by the Instrumental Activities of Daily Living scale, and 3 subscales of community-level social capital: social cohesion, social participation, and reciprocity. Community-level social participation was associated with a lower risk of functional decline after disaster exposure. The average level of social participation in the community also mitigated the adverse impact of housing damage on functional status, suggesting a buffering mechanism.

Re-Increased Male Suicide Rates in the Recovery Phase Following the Great East Japan Earthquake

Abstract. Background: Monitoring of suicide rates in the recovery phase following a devastating disaster has been limited. Aim: We report on a 7-year follow-up of the suicide rates in the area affected by the Great East Japan Earthquake, which occurred in March 2011. Method: This descriptive study covered the period from March 2009 to February 2018. Period analysis was used to divide the 108-month study period into nine segments, in which suicide rates were compared with national averages using Poisson distribution. Results: Male suicide rates in the affected area from March 2013 to February 2014 increased to a level higher than the national average. After subsequently dropping, the male rates from March 2016 to February 2018 re-increased and showed a greater difference compared with the national averages. The difference became significant in the period from March 2017 to February 2018 ( p = .047). Limitations: Specific reasons for increasing the rates in the recovery phase were not determined. Conclusion: The termination of the provision of free temporary housing might be influential in this context. Provision of temporary housing was terminated from 2016, which increased economic hardship among needy evacuees. Furthermore, disruption of the social connectedness in the temporary housing may have had an influence. Our findings suggest the necessity of suicide rate monitoring even in the recovery phase.

Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes

The accuracy of previous genetic studies in predicting polygenic psychiatric phenotypes has been limited mainly due to the limited power in distinguishing truly susceptible variants from null variants and the resulting overfitting. A novel prediction algorithm, Smooth-Threshold Multivariate Genetic Prediction (STMGP), was applied to improve the genome-based prediction of psychiatric phenotypes by decreasing overfitting through selecting variants and building a penalized regression model. Prediction models were trained using a cohort of 3685 subjects in Miyagi prefecture and validated with an independently recruited cohort of 3048 subjects in Iwate prefecture in Japan. Genotyping was performed using HumanOmniExpressExome BeadChip Arrays. We used the target phenotype of depressive symptoms and simulated phenotypes with varying complexity and various effect-size distributions of risk alleles. The prediction accuracy and the degree of overfitting of STMGP were compared with those of state-of-the-art models (polygenic risk scores, genomic best linear-unbiased prediction, summary-data-based best linear-unbiased prediction, BayesR, and ridge regression). In the prediction of depressive symptoms, compared with the other models, STMGP showed the highest prediction accuracy with the lowest degree of overfitting, although there was no significant difference in prediction accuracy. Simulation studies suggested that STMGP has a better prediction accuracy for moderately polygenic phenotypes. Our investigations suggest the potential usefulness of STMGP for predicting polygenic psychiatric conditions while avoiding overfitting.

The Impact of Health Consciousness on the Association Between Walking Durations and Mental Health Conditions After a Disaster: a Cross-Sectional Study

Background

In communities affected by a disaster, walking can be a feasible form of physical exercise to improve physical and mental health conditions. However, there is limited evidence to support relationships between walking habits and mental health conditions in post-disaster settings. Cross-sectional epidemiological data obtained from a questionnaire survey (conducted in October 2017) of a community affected by the 2011 Great East Japan Earthquake (GEJE) was analyzed to evaluate the relationships.

Methods

Participants included individuals over 20 years of age (N = 718) from Shichigahama town in Miyagi prefecture, whose houses were significantly damaged by the GEJE. Their mental health conditions were assessed by the Kessler Psychological Distress Scale (K6), the Center for Epidemiologic Studies Depression Scale (CES-D), and the Impact of Event Scale-Revised (IES-R). Additionally, the questionnaire asked the participants spent duration walking on average and their walking purpose by the following items: (1) longer than 60 min per day, (2) between 30 and 60 min per day, or (3) less than 30 min per day, and whether they walked to maintain healthy living habits (health-conscious walkers) or merely for transportation without considering health consequences (non-health-conscious walkers). These information and mental health indicators were analyzed using analysis of covariance (ANCOVA).

Results

Among the three walking duration groups of health-conscious walkers, there were significant differences in CES-D and K6 scores (p = 0.01 and p = 0.04), but not in IES-R scores, considering age, gender, and alcohol drinking habits as covariates. CES-D score was significantly higher among short walkers (p = 0.004). Among the three walking duration groups of non-health-conscious walkers, there were significant differences in avoidance symptoms, the subdomain of IES-R (p = 0.01), but not in CES-D, K6, and total IES-R scores, considering the variants.

Conclusion

Our study suggests that walking durations may positively affect mood, but not PTSR, only when walking is performed with the purpose of maintaining healthy living habits. Walking durations were negatively associated with avoidance symptoms among non-health-conscious walkers in the community affected by the GEJE, indicating that the disaster may have had a long-lasting impact on walking habits.

Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection

To solve major limitations in algorithms for the metabolite-based prediction of psychiatric phenotypes, a novel prediction model for depressive symptoms based on nonlinear feature selection machine learning, the Hilbert-Schmidt independence criterion least absolute shrinkage and selection operator (HSIC Lasso) algorithm, was developed and applied to a metabolomic dataset with the largest sample size to date. In total, 897 population-based subjects were recruited from the communities affected by the Great East Japan Earthquake; 306 metabolite features (37 metabolites identified by nuclear magnetic resonance measurements and 269 characterized metabolites based on the intensities from mass spectrometry) were utilized to build prediction models for depressive symptoms as evaluated by the Center for Epidemiologic Studies-Depression Scale (CES-D). The nested fivefold cross-validation was used for developing and evaluating the prediction models. The HSIC Lasso-based prediction model showed better predictive power than the other prediction models, including Lasso, support vector machine, partial least squares, random forest, and neural network. L-leucine, 3-hydroxyisobutyrate, and gamma-linolenyl carnitine frequently contributed to the prediction. We have demonstrated that the HSIC Lasso-based prediction model integrating nonlinear feature selection showed improved predictive power for depressive symptoms based on metabolome data as well as on risk metabolites based on nonlinear statistics in the Japanese population. Further studies should use HSIC Lasso-based prediction models with different ethnicities to investigate the generality of each risk metabolite for predicting depressive symptoms.

Did internal displacement from the 2010 earthquake in Haiti lead to long-term violence against children? A matched pairs study design

BACKGROUND

Empirical evidence is limited and contradictory on violence against children after internal displacement from natural disasters. Understanding how internal displacement affects violence is key in structuring effective prevention and response.

OBJECTIVE

We examined the effect of internal displacement from the 2010 Haitian earthquake on long-term physical, emotional, and sexual violence against children and outlined a methodological framework to improve future evidence quality.

PARTICIPANTS AND SETTING

We analyzed violence against adolescent girls and boys within the nationally representative, Haiti Violence Against Children Survey.

METHODS

We pre-processed data by matching on pre-earthquake characteristics for displaced and non-displaced children and applied 95 % confidence intervals from McNemar's exact test, with sensitivity analyses, to evaluate differences in violence outcomes between matched pairs after the earthquake.

RESULTS

Internal displacement was not associated with past 12-month physical, emotional, and sexual violence two years after the earthquake for girls and boys. Most violence outcomes were robust to potential unmeasured confounding. Odds ratios for any form of violence against girls were 0.84 (95 % CI: 0.52-1.33, p = 0.500) and against boys were 1.03 (95 % CI: 0.61-1.73, p = 1.000).

CONCLUSIONS

Internal displacement was not a driver of long-term violence against children in Haiti. Current global protocols in disaster settings may initiate services after the optimal window of time to protect children from violence, and the post-displacement setting may be central in determining violence outcomes. The combination of specific data structures and matching methodologies is promising to increase evidence quality after rapid-onset natural disasters, especially in low-resource settings.

Post-disaster mental health and psychosocial support in the areas affected by the Great East Japan Earthquake: a qualitative study

BACKGROUND

Few studies exploring the actual practices implemented for long-term mental health and psychosocial support after a natural disaster have been published. This study aimed to reveal (1) the types of activities that were actually provided as mental health and psychosocial support (MHPSS) in the long-term phase after the Great East Japan Earthquake (GEJE) and (2) the problems that must be addressed to provide post-disaster MHPSS activities.

METHODS

An open-ended questionnaire was sent to organizations in the Iwate, Miyagi and Fukushima prefectures that were potentially involved in providing MHPSS to communities affected by the GEJE. The organizations were asked to describe their activities and the problems that needed to be addressed to provide these support activities. The collected statements were analysed using content analysis with NVivo11.

RESULTS

The support activities conducted to provide MHPSS in the long-term phase after the catastrophe were diverse and classified into 7 major categories, namely, (1) one-on-one support for individuals in need of assistance, (2) support for collective activities, (3) support around living conditions and income, (4) increasing public awareness about mental health, (5) human resource development to improve response capabilities for MHPSS, (6) support for MHPSS providers, and (7) facilitating collaborations among the MHPSS activities provided to affected communities. Problems with human resources and funding were the most frequently mentioned concerns among the organizations participating in the survey.

CONCLUSIONS

The establishment of systems to collect and share sufficient and relevant knowledge and to coordinate organizations for long-term post-disaster postventions would be desirable.

An exploration of posttraumatic growth, loneliness, depression, resilience, and social capital among survivors of Hurricane Katrina and the Deepwater Horizon Oil Spill

The aim of this study was to examine the relationships among posttraumatic growth (PTG), loneliness, depression, psychological resilience, and social capital among survivors of Hurricane Katrina in 2005 and the Deepwater Horizon oil spill in 2010. The survey was administered to a spatially stratified, random sample of households in the three coastal counties of Mississippi. A total of 216 participants were included in this study who lived in close proximity to the Gulf of Mexico coastline during both disasters. Results from structural equation modeling analyses indicated that there was a significant and inverse relationship between PTG and loneliness. Conversely, a direct relationship was not found between PTG and depressive symptoms; instead, the results revealed an indirect relationship between PTG and depressive symptoms through loneliness. Social capital was related to loneliness only indirectly through PTG, while psychological resilience was related to loneliness both directly and indirectly through PTG. Understanding the relationships among these factors, particularly the importance of PTG, can provide insight into the long-term adaptation among those who have survived multiple disasters. Further, these findings may lead to nuanced methods for behavioral health practitioners in assessing and treating individuals with symptoms of depression in disaster-prone communities.

Beneficial Roles of Social Support for Mental Health Vary in the Japanese Population depending on Disaster Experience: A Nationwide Cross-Sectional Study

The purpose of the present study was to assess the effects of social capital on mental health among the Japanese population with or without natural disaster experience. A nationwide cross-sectional study was performed in the population aged 15 to 79 years old. We collected data on psychological status, social capital, disaster experience in ten years prior to the survey, and socio-demographic information. We assessed cognitive social capital (perceptions of support, reciprocity and trust), social support (support from individuals in the community), and social participation (participation in social activities) as components of social capital. The study outcome was mild mood or anxiety disorder (hereafter mood/anxiety disorder), defined as the score of 5 or higher in the Kessler Psychological Distress Scale (K6). Using logistic regression models, we tested whether each component of social capital was associated with mood/anxiety disorder with or without disaster experience. Out of 1,200 participants, 1,183 had available K6 score data and were considered. Among three components of social capital, only social support significantly interacted with disaster experience (p = 0.019). In the population without disaster experience, those with high social support were less likely to have mood/anxiety disorder (OR 0.45, 95% Cl 0.28-0.73); however, no such association was observed among those with disaster experience (OR 1.11, 95% CI 0.64-1.90). Thus, the protective effects of social support against mood/anxiety disorder vary in the Japanese population depending on disaster experience. The present study provides important insight into the role of social capital on mental health after natural disaster.

Mental Health Recovery of Evacuees and Residents from the Fukushima Daiichi Nuclear Power Plant Accident after Seven Years-Contribution of Social Network and a Desirable Lifestyle

The 2011 Fukushima nuclear accident resulted in the exposure to radiation and evacuation, which has created psychological distress among the Fukushima residents. With the provision of multi-faceted support and the progress of the reconstruction, their mental health has appeared to show signs of recovery. However, there have been few studies investigating their recovery. To clarify the related factors associated with mental health recovery, a cross-sectional questionnaire survey was conducted. Subjects whose answers were associated with Resilience, Recovery, and Remitting patterns of mental health status were categorized in the Recovery group, while those associated with Delayed/Chronic dysfunction were placed in the Non-recovered group. In a multivariable logistic regression analysis, disaster-related unemployment (odds ratio (OR): 0.80, 95% CI (confidence interval): 0.65–0.99) and economic hardship (OR: 0.80, 95% CI: 0.65–0.98) were associated with the hindrance of recovery. In contrast, overall good health (OR: 1.47, 95% CI: 1.20–1.80), regular physical activity (OR: 1.23, 95% CI: 1.01–1.50), social interaction with friends (OR: 1.25, 95% CI: 1.00–1.55), and established social roles (OR: 1.44, 95% CI: 1.14–1.82) were associated with the promotion of recovery. In conclusion, our study showed a positive association between mental health recovery and a desirable lifestyle and social network, particularly with social roles. Thus, the provision of active social roles can promote recovery related to a disaster as with multi-faceted support.

Does the Type of Temporary Housing Make a Difference in Social Participation and Health for Evacuees of the Great East Japan Earthquake and Tsunami? A Cross-Sectional Study

Background

Although the majority of survivors of the huge Great East Japan Earthquake and Tsunami evacuated to two types of temporary housings, prefabricated housing and rented housing, health effects of these different environments were unclear. We examined whether prevalent social participation in prefabricated housing brought larger health benefits than in rented housing using the largest health survey data of the disaster survivors.

Methods

This cross-sectional study used a 2012 survey by the Miyagi Prefectural Government, in which almost all of evacuees were targeted (response rate: 61.6%). Self-rated health (SRH) and psychological distress measured via K6 score were the dependent variables, and social participation was the independent variable. Odds ratios of the social participation on health variables were estimated using logistic regression models. To assess the contribution of social participation, the population attributable fraction (PAF) was estimated.

Results

The participants lived in prefabricated and rented housing numbered 19,726 and 28,270, respectively. Participants in prefabricated housing had poorer SRH and K6 than those in rented housing. The proportions of participants engaging in social participation of prefabricated and rented housing were 38.2% and 15.4%, respectively. The absence of social participation was significantly associated with poor SRH and K6 among participants in both housing types. The PAFs of social participation with good SRH were 39.5% in prefabricated housing and 14.4% in rented housing. For K6, the PAFs were 47.1% and 19.5% in prefabricated and rented housing, respectively.

Conclusion

Compared to the residents in rented housing, residents in prefabricated housing had more frequent opportunities for social participation, which was associated with larger health benefits.

The prevalence of mental distress before the Great East Japan Earthquake and the associated impact of an aged society: An ecological study

Various studies have determined that the Great East Japan Earthquake (GEJE) caused mental distress among residents in affected areas. However, previous studies had not considered the prevalence of mental distress before the GEJE, and ignored the impact of an aged society on mental distress. Therefore, we aimed to describe the prevalence of mental distress before the GEJE in Miyagi Prefecture, Japan and elucidate the effect of an aged society on mental distress. We conducted an ecological study, using municipality in Miyagi Prefecture as the study unit. We used the cross-sectional mail survey data conducted in February 2011. We performed a correlation analysis in each of the 39 municipalities in Miyagi Prefecture. The prevalence of serious mental distress was 9.1%. The proportion of the population aged 65 years or older was related to the prevalence of serious mental distress in municipalities with a low proportion of all workers engaged in primary industry and with a high estimated number of inpatients with mental illness. We found that residents in Miyagi Prefecture suffered from poor mental health before the GEJE. Aged society was related to serious mental distress in the areas with advanced industrial structure and more patients with mental illness. We should approach mental health problems in the context of social structure, particularly in an aged society, based on facts about mental distress before the GEJE.

Association between health risks and frailty in relation to the degree of housing damage among elderly survivors of the great East Japan earthquake

Background

Many survivors of the Great East Japan Earthquake that occurred in 2011 were at risk of deteriorating health, especially elderly people living in disaster-stricken areas. The objectives of this prospective study were: a) to clarify the different lifestyle and psychosocial factors associated with frailty by sex among the non-disabled elderly survivors, and b) to describe the differences in characteristics stratified by the degree of disaster-related housing damage.

Methods

We followed 2261 Japanese survivors aged ≥65 years (45.3% male; mean age, 71.7 years) without disability or frailty who completed a self-administered questionnaire at baseline. All participants completed a baseline questionnaire in 2011 and at least one identical follow-up questionnaire between 2012 and 2015 regarding lifestyle (smoking status, alcohol intake, physical activity, sedentary lifestyle, and dietary intake) and psychosocial factors (self-rated health, standard of living, psychological distress, and social networks). Frailty was defined as a score of ≥5 on the Kihon Checklist, which is used by the Japanese government to certify the need for long-term care insurance. Adjusted odds ratios and 95% confidence intervals with frailty as the dichotomous dependent variable and health factors as the independent variables were calculated using a multilevel model for repeated measures by sex, followed by stratification analyses by the degree of housing damage.

Results

Over the 4-year study period, 510 participants (22.6%) developed frailty. In the post-disaster setting, many of the psychosocial factors remained more prevalent 4 years later among survivors with extensive housing damage. The presence of risk factors regarding the development of frailty differed by the degree of housing damage. Among men, psychological distress, in parallel with a poor social network, was related to frailty among only the participants with extensive housing damage and those living in temporary housing, whereas among women, worsening psychological distress was associated only with no damage and no displaced survivors. Among women with extensive damage and displacement, health outcomes such as overweight and diabetes and poor social networks were strongly related to frailty.

Conclusions

Lifestyle and psychosocial factors associated with the risk of frailty differ by sex and the degree of housing damage.

Electronic supplementary material

The online version of this article (10.1186/s12877-018-0828-x) contains supplementary material, which is available to authorized users.

Factors Associated with Maintaining the Mental Health of Employees after the Fukushima Nuclear Disaster: Findings from Companies Located in the Evacuation Area

After the nuclear disaster in Fukushima on 11 March 2011, some businesses were permitted to continue operating even though they were located in the evacuation area designated by the Japanese government. The aim of this study was to examine differences in the mental health status, workplace, living environment, and lifestyle of employees in the evacuation and non-evacuation areas. We also investigated factors related to their mental health status. Data for this cross-sectional study were collected from the questionnaire responses of 647 employees at three medium-sized manufacturing companies in the evacuation and non-evacuation areas. Through a cross-tabulation analysis, employees who worked at companies in the evacuation areas showed an increase in the duration of overtime work, work burden, and commute time, and had experienced separation from family members due to the radiation disaster and perceived radiation risks. The results of a multivariate logistic regression analysis showed that, even in a harsh workplace and living environment, being younger, participating regularly in physical activity, having a social network (Lubben Social Network Scale-6 ≤ 12), laughing frequently, and feeling satisfied with one's workplace and domestic life were significantly associated with maintaining a healthy mental health status after the disaster. These findings are applicable for workers' health management measures after disasters.

Noncommunicable Diseases After the Great East Japan Earthquake: Systematic Review, 2011-2016

OBJECTIVE

Noncommunicable diseases (NCDs), including mental disorders, have become major threats to human health worldwide. People with NCDs are particularly vulnerable to disasters. We systematically reviewed reports describing studies of NCDs at the time of the Great East Japan Earthquake (GEJE) to clarify the circumstances of people with NCDs and to build strong measures to support them.

METHODS

Relevant articles published from March 2011 through December 2016 were collected by searching the PubMed database (National Library of Medicine). We specifically examined reports describing NCDs and including the key words "East Japan Earthquake." NCDs included every disease type aside from injury and infectious disease.

RESULTS

We collected 160 relevant articles, 41 of which described NCDs that existed in residents before the GEJE. Articles describing respiratory diseases and mental illnesses were found most frequently. Interruption of regular treatment was the most frequent problem, followed by lack of surveillance capacity. We found 101 reports describing NCDs that had developed after the GEJE, of which 60% were related to mental health issues.

CONCLUSIONS

NCDs pose major health issues after large-scale disasters. Establishment of strong countermeasures against interruption of treatment and surveillance systems to ascertain medical needs for NCDs are necessary to prepare for future disasters. (Disaster Med Public Health Preparedness. 2018; 12: 396-407).