Predictors Of Mental Distress Research Articles

Are actual and perceived environmental conditions associated with variation in mental health?

ObjectiveEmpirical evidence on the relationship between environmental factors and mental health remains inconclusive. One reason is that there is only scant evidence on the association between mental health and subjective exposure to environmental stressors, relative to objective pollution. We thus focus on how the perceived and actual presence of noise, air pollution, and green spaces relates to mental health. Methods and resultsOur cross-sectional study is based on a large representative sample of the adult population in Switzerland (n = 5729). Using individual-level geocodes of subjects’ residence, we combined data from a survey of these individuals with data on objectively measured longer-term environmental conditions (noise, air pollution, green spaces). Subclinical mental health was assessed with the 12-item General Health Questionnaire (GHQ-12). When fitting multiple regressions and mediation models, we find that perceptions of environmental stressors are a better predictor of mental distress than objectively measured stressors. In addition, the predictive power of actual nature visits is stronger than the predictive power of mere proximity to green spaces at the place of residence. We found no direct link between actual environmental stressors and mental health, but mediation via perceived environmental stressors. Further, the association between the frequency of nature visits and mental health is mediated by perceived, but not actual pollution. ConclusionSince actual environmental stressors are not perceived as equally burdensome by all people, their subjective perception is crucial when evaluating policy interventions aimed at improving mental health. Even a relatively low level of environmental stressors, classified as non-harmful to human health in a physical or biological sense, may thus contribute to negative mental health outcomes. The main policy implication is that attractive and accessible green spaces may provide individuals with an enhanced sense of control over their exposure to environmental stressors and thereby reduce negative impacts.

Anxiety, depression and post-traumatic stress disorder and related factors among Chinese population during the COVID-19 pandemic: A cross-sectional study.

The sudden outbreak of coronavirus disease 2019 (COVID-19) has deep and wide negative mental impacts on the public, and studies on the impact of COVID-19 on social and mental well-being are necessary. This study aimed to evaluate mental distress, including anxiety, depression, and post-traumatic stress disorder (PTSD), and its related risk factors in Chinese adults in the early stages of the COVID-19 pandemic. This study used a large-scale cross-sectional design. A total of 2067 adult participants completed the online survey via REDcap from 1st to 15th of March 2020 during the COVID-19 outbreak in China. Anxiety, depression, PTSD, and related risk factors, including self-efficacy, coping style, and social support, were measured using valid and reliable instruments. The data were analyzed using multiple linear regression. We found that 201 (9.7%) participants reported moderate-to-severe anxiety, 669 (33.8%) reported depression, and 368 (17.8%) reported symptoms of PTSD. Self-efficacy, coping style, and social support significantly affected anxiety, depression, and PTSD symptoms. Participants' sociodemographic characteristics, COVID-19 pandemic-related factors, low self-efficacy, low social support, and negative coping were predictors of mental distress during the COVID-19 pandemic. Our study will help healthcare professionals carry out early predictions and identification of high-risk groups and provide appropriate interventions to target groups during public health emergencies that plague the world.

Mental distress among university students in the Eastern Cape Province, South Africa

IntroductionMental distress is a global health concern. Studies show that the prevalence of mental distress is higher in students’ population than in the general population. Therefore, there is need to understand the extent and factors associated with mental distress among students to help policymakers and practitioners in South Africa.Aim of the studyThe study was designed to investigate into the prevalence and factors associated with mental distress among students at universities in the Eastern Cape Province, South Africa.MethodsA cross-sectional study was conducted among students from four universities in the Eastern Cape Province. The data were collected from 844 students using an online self-reporting questionnaire-20 to assess mental distress of students. Multivariable logistic regression modelling determined the association between socio-demographic and psychosocial factors with students’ mental distress.FindingsThe prevalence of mental distress among students was 53.3% (95% CI 47.0%, 58.1%). Female students were more prone to mental distress than male students ([AOR]: 4.67; 95% CI 2.82, 7.72, P = 0.001). Field of study ([AOR]: 3.9; 95% CI 1.74, 5.50, P = 0.010), year of study ([AOR]: 4.29; 95% CI 0.86, 21.46, P = 0.002), academic workload ([AOR]: 4.66; 95% CI 2.81, 7.71, P = 0.003), poor sleep quality ([AOR]: 2.24; 95% CI 1.13, 3.67, P = 0.010) and using cannabis ([AOR]: 3.10; 95% CI 1.755, 5.51, P = 0.020) were other factors significantly correlated with students’ mental distress.Conclusions and recommendationsThe study found the level of mental distress to be higher among students than what is reported in most of the previous studies on the student population in South Africa. Being a female student, a user of cannabis, and field of study, academic workload and having poor sleep quality were predictors of mental distress. Findings point to the need to devise evidence-driven interventions and strategies to prevent and reduce the problem of mental distress among students.

Prevalence and predictors of mental distress among Italian Red Cross auxiliary corps: A cross-sectional evaluation after deployment in anti-COVID-19 operations

ABSTRACT The aim of the present study is to describe the prevalence and individual predictors of mental distress (anxiety, depression, and burnout) in a sample of volunteers engaged in emergency services. A total of 823 volunteers enrolled in the Red Cross auxiliary corps were surveyed between 28 June 2021 and 28 August 2021 (299 men and 524 women). After deployment in anti-COVID-19 operations, participants completed the Patient Health Questionnaire, Generalized Anxiety Disorder Questionnaire, Maslach Burnout Inventory, and Big Five Inventory through an online platform. A moderately severe risk of depression was found in 1.70% of the sample. A severe risk for anxiety disorders was found in 1.82%. A high risk for emotional exhaustion was found in 3.40%, depersonalization in 12.88%, and low personal accomplishment in 7.53%. Women showed a higher risk of both depression and anxiety in comparison to males. Personality factors were significant predictors for all dimensions. In contrast to the current literature, openness was found to be a predisposing personality factor in developing burnout dimensions. The relevance of the current findings for the development of effective screening tools before the deployment of reserve forces during medical crises is discussed.

Traumatized Syrian Refugees with Ambiguous Loss: Predictors of Mental Distress.

Refugees from war zones often have missing significant others. A loss without confirmation is described as an ambiguous loss. This physical absence with simultaneous mental persistence can be accompanied by economic, social or legal problems, boundary ambiguity (i.e., uncertainty about who belongs to the family system), and can have a negative impact on mental health. The aim of this study was to identify sociodemographic and loss-related predictors for prolonged grief, anxiety, depression, post-traumatic stress disorder (PTSD) and somatization in treatment-seeking Syrian refugees with post-traumatic stress symptoms in Germany experiencing ambiguous loss. For the present study, data were based on the treatment-seeking baseline sample of the “Sanadak” randomized-controlled trial, analyzing a subsample of 47 Syrian refugees with post-traumatic stress symptoms in Germany experiencing ambiguous loss. Sociodemographic and loss-related questions were applied, along with standardized instruments for symptoms of prolonged grief (ICG), anxiety (GAD-7), depression (PHQ-9), PTSD (PDS-5) and somatization (PHQ-15). Linear regression models were used to predict mental health outcomes. Having lost a close family member and higher boundary ambiguity showed a statistically significant association with higher severity in prolonged grief. The overall model for somatization reached statistical significance, while no predictor independently did. Boundary ambiguity showed a statistically significant positive association with depression, while the overall model showed no statistically significant associations. Boundary ambiguity and missing family members seemed to be important predictors for prolonged grief. These findings support the importance of reunification programs and suggest an inclusion of the topic into psychosocial support structures, e.g., including psychoeducational elements on boundary ambiguity in support groups for traumatized individuals and families experiencing ambiguous loss. Further research is needed for a more detailed understanding of the impact of ambiguous loss on refugee populations.

Mental Distress and Its Contributing Factors Among Young People During the First Wave of COVID-19: A Belgian Survey Study.

Background: The outbreak of the COVID-19 pandemic in 2020 and its associated measures led to high levels of mental distress in the general population. Previous research indicated that young people are especially vulnerable for a wide range of mental health problems during the pandemic, but little is known about the mechanisms. This study examined mental distress and its contributing factors among young Belgian people.Methods: An online survey was widely distributed in Belgium during the first wave of COVID-19 in March, and 16–25-year-olds were selected as a subsample. Mental distress was assessed using the 12-item General Health Questionnaire (GHQ-12), and a threshold of ≥4 was used to discriminate mental distress cases from non-cases. Bivariate and multivariable logistic regression analyses were performed to evaluate possible predictors of mental distress, including demographics, chronic condition, history of mental health problems, social support, exposure to COVID-19, and several changes in everyday activities.Results: A total of 2,008 respondents were included, of which the majority was female (78.09%) and student (66.82%). The results indicate that about two thirds (65.49%) experienced mental distress. In the multivariable regression model, significant (p < 0.01) predictors of mental distress were female gender (OR = 1.78), low social support (OR = 2.17), loneliness (OR = 5.17), a small (OR = 1.63), or large (OR = 3.08) increase in social media use, a small (OR = 1.63) or large (OR = 2.17) decrease in going out for drinks or food, and a decrease in doing home activities (OR = 2.72).Conclusion: Young people experience high levels of mental distress during the COVID-19 pandemic. Our findings indicate that mental distress was highest among women, those experiencing loneliness or low social support and those whose usual everyday life is most affected. The psychological needs of young people, such as the need for peer interaction, should be more recognized and supported.

Mental Distress in Rural Areas of Indonesia

Background: There is a higher prevalence of mental distress in rural areas compared to urban areas in Indonesia. The rural areas of Indonesia have various socio-demographic and sophisticated cultural characteristics, but less exposed to foreign cultures. Thus, the study about the prevalence, associated factors, and predictors of mental distress in rural areas is necessary.Purpose: This study aimed to identify the population's status and related factors of mental distress in rural areas in Indonesia.Methods: A descriptive cross-sectional study was conducted to achieve the aims of the study. An Indonesian version of the Self-Rated Questionnaire, consisting of 20 items, was used to measure mental distress status of population in rural areas in Yogyakarta, Indonesia. A number of 872 records were included and analyzed using both univariate and bivariate analyses in this study.Results: The prevalence of mental distress in this population was 6%. The correlated factors of mental distress were age (χ2=6.93, p=0.01), gender (χ2=0.07, p=0.03), occupation (χ2=0.26, p=0.02), housing dimension (χ2=5.45, p=0.02), and illness status (χ2=0.01, p&lt;0.01).Conclusion: The prevalence of mental distress in rural areas of Indonesia is relatively lower than that of the national level. Future mental health programs may be focused on improving mental health on the elderly, male, vulnerable workers, overcrowded housing, and people who got a chronic illness.

Academic and non-academic predictors of student psychological distress: the role of social identity and loneliness

Background: University students experience high rates of stress and mental illness; however, few studies have comprehensively examined the impact of academic and non-academic stressors on student mental health. Similarly, there has been little focus on the role of social groups in protecting against mental distress in this young adult group.Aim: To identify the key social determinants of mental health symptoms in a student population.Methods: Using an online survey, we administered measures of social connectedness and mental health symptoms alongside academic and non-academic stressors to a large sample of UK university students.Results: Loneliness was the strongest overall predictor of mental distress, while assessment stress was the most important academic predictor. Strong identification with university friendship groups was most protective against distress relative to other social identities, and the beneficial impact of identification on symptoms was mediated by reduced loneliness.Conclusions: The study highlights the benefits of establishing strong social connections at university and the importance of minimising stress associated with assessment tasks.

Psychological and Social Work Factors as Predictors of Mental Distress and Positive Affect: A Prospective, Multilevel Study.

Occupational health research has mainly addressed determinants of negative health effects, typically employing individual-level self-report data. The present study investigated individual- and department-level (means of each work unit) effects of psychological/social work factors on mental distress and positive affect. Employees were recruited from 63 Norwegian organizations, representing a wide variety of job types. A total of 4158 employees, in 918 departments, responded at baseline and at follow-up two years later. Multilevel linear regressions estimated individual- and department-level effects simultaneously, and accounted for clustering of data. Baseline exposures and average exposures over time ([T1+T2]/2) were tested. All work factors; decision control, role conflict, positive challenge, support from immediate superior, fair leadership, predictability during the next month, commitment to organization, rumors of change, human resource primacy, and social climate, were related to mental distress and positive affect at the individual and department level. However, analyses of baseline exposures adjusted for baseline outcome, demonstrated significant associations at the individual level only. Baseline “rumors of change” was related to mental distress only and baseline “predictability during the next month” was not a statistical significant predictor of either outcome when adjusted for outcome at baseline. Psychological and social work factors were generally related to mental distress and positive affect in a mirrored way. Impact of exposures seemed most pervasive at the individual level. However, department-level relations were also discovered. Supplementing individual-level measures with aggregated measures may increase understanding of working conditions influence on employees`health and well-being. Organizational improvements focusing on the work factors in the current study should be able to reduce distress and enhance positive affect. Furthermore, both targeting individual employees and redesigning working conditions at the work unit level seems important.

Psychological and social work factors as predictors of mental distress: a prospective study.

Studies exploring psychological and social work factors in relation to mental health problems (anxiety and depression) have mainly focused on a limited set of exposures. The current study investigated prospectively a broad set of specific psychological and social work factors as predictors of potentially clinically relevant mental distress (anxiety and depression), i.e. “caseness” level of distress. Employees were recruited from 48 Norwegian organizations, representing a wide variety of job types. A total of 3644 employees responded at both baseline and at follow-up two years later. Respondents were distributed across 832 departments within the 48 organizations. Nineteen work factors were measured. Two prospective designs were tested: (i) with baseline predictors and (ii) with average exposure over time ([T1+T2]/2) as predictors. Random intercept logistic regressions were conducted to account for clustering of the data. Baseline “cases” were excluded (n = 432). Age, sex, skill level, and mental distress as a continuous variable at T1 were adjusted for. Fourteen of 19 factors showed some prospective association with mental distress. The most consistent risk factor was role conflict (highest odds ratio [OR] 2.08, 99% confidence interval [CI]: 1.45–3.00). The most consistent protective factors were support from immediate superior (lowest OR 0.56, 99% CI: 0.43–0.72), fair leadership (lowest OR 0.52, 99% CI: 0.40–0.68), and positive challenge (lowest OR 0.60, 99% CI: 0.41–0.86). The present study demonstrated that a broad set of psychological and social work factors predicted mental distress of potential clinical relevance. Some of the most consistent predictors were different from those traditionally studied. This highlights the importance of expanding the range of factors beyond commonly studied concepts like the demand-control model and the effort-reward imbalance model.

Workplace bullying and mental distress – a prospective study of Norwegian employees

Using a prospective design, the objective of this study was to determine the relationship between workplace bullying and mental distress. Altogether, 1971 Norwegian employees, recruited from 20 organizations, answered questions regarding workplace bullying and mental distress at both baseline and follow-up. Baseline data were gathered between 2004-2006, and follow-up data were gathered between 2006-2009. The time-lag between baseline and follow-up was approximately two years for all the respondents in all the organizations. The factors measured in the study were individual characteristics, mental distress measured with the Hopkins Symptom Checklist (HSCL-10), self-reported workplace bullying measured with a single item from the General Nordic Questionnaire for Psychological and Social Factors at Work (QPSNordic) and job demands and job control assessed by QPSNordic. A multiple linear regression analysis adjusted for mental distress, sex, age, job demands and job control at baseline [β=0.05, 95% confidence interval (95% CI) 0.03-0.17] and a repeated measures ANOVA adjusted for sex and age [F(3,1965)=38.37; partial η (2)=0.06] showed that workplace bullying predicted mental distress. Furthermore, a multiple binary logistic regression analysis adjusted for bullying, sex, age, job demands and job control at baseline [odds ratio (OR) 2.30, 95% CI 1.43-3.69] showed that mental distress was a predictor of bullying. We found support for the notion that self-reported workplace bullying is a predictor of mental distress two years later. Bullying had an independent effect on mental distress after adjusting for job demands and job control. Mental distress was also found to be a predictor of bullying, indicating that the reverse relationship is also important.

Predictors of mental distress among substance abusers receiving inpatient treatment

BackgroundMental distress measured by the HSCL-10 is used as an indicator of psychiatric disorders in population studies, where a higher level of mental distress has been shown to be related to demographic factors such as living conditions and level of education. The first aim of the study was to explore whether mental distress could be a valuable concept in substance use treatment. The second aim of the study was to explore to what degree mental distress among substance users at admission to treatment could be explained by the same demographic factors as in population studies, or whether treatment differences or differences in substance use would be better predictors of mental distress in this population.MethodsPatients (N = 185) who received inpatient substance use treatment in five different settings in Northern Norway participated in the study. HSCL-10 was used as a measure for mental distress at admission to treatment. The self-report measures AUDIT, DUDIT and DUDIT-E were used for measuring substance use and readiness for treatment. The patients' clinicians reported demographic and treatment factors. A three-block hierarchical multiple regression analysis was conducted to determine potential predictors of mental distress. Block 1 included demographic variables, Block 2 included treatment variables, and Block 3 substance use variables.ResultsPatients generally reported a high level of mental distress at admission to treatment, and 83% reported mental distress higher than the established cut-off level. Being female, having previously received psychiatric treatment, having a higher score on DUDIT and AUDIT, and using a larger number of substances all predicted a higher level of mental distress. The model explained 32% of the variance in mental distress.ConclusionsMental distress measured by the HSCL-10 can be a valuable concept in substance use treatment. The HSCL-10 can be useful in screening for patients who are in need of further assessment for psychiatric disorders. Female gender, previous psychiatric treatment, and higher use of substances all predicted a higher level of mental distress. The study underlines the importance of assessing the mental health of patients in substance use treatment.

Predicting psychological well-being after emergency caesarean section: A preliminary study

The experience of emergency caesarean section (EmCS) is traumatic for many women. Up to now, a possible relationship between psychological variables before and after EmCS has not been studied. Therefore, the present study was designed, to examine whether the women's psychological condition during pregnancy correlates with their psychological well-being after EmCS. Questionnaires were administered in gestation week 32, a few days and one month after EmCS. A consecutive sample of pregnant women (N = 1981) completed questionnaires (the predictors) at Time 1. Predictors were operationalized by means of the Wijma-Delivery Expectancy/Experience Questionnaire (W-DEQ vers. A), the Spielberger Trait Anxiety Inventory (STAI) and the Stress Coping Inventory (SCI). Of those women who had an EmCS (N = 97), a selection (N = 40) completed questionnaires (the criterion variables) at Times 2 and 3. The criterion variables were operationalized by means of the W-DEQ vers. B, the Impact of Event Scale (IES), and the Symptom Checklist (SCL). Fear of childbirth (W-DEQ vers. A) was the best overall predictor of the three criterion variables, whereas general anxiety (STAI) was the best predictor of mental distress (SCL) after EmCS. In conclusion, according to the results of this study, particularly fear of childbirth during late pregnancy, but also general anxiety, is associated with mental distress after a subsequent EmCS. Maternal follow-up after a complicated delivery should perhaps be directed especially to women with a history of serious fear of childbirth and/or other anxiety difficulties during gestation.

Predictors of mental distress in early adulthood: a five-year follow-up of 709 high-school students

Mental health risk factors in adolescence were examined as predictors of mental distress in early adulthood. A cohort of 709 Finnish adolescents was studied in 1990 (mean age 16.8) and in 1995. Trait anxiety, defence styles, life events, self-esteem and somatic symptoms were evaluated as predictors of high scores in the General Health Questionnaire in adulthood. Females (36%) were more likely to be distressed than males (23%). High trait anxiety and somatic symptom scores among adolescent females, and high immature defence style scores among males predicted mental distress. Males with low trait anxiety in adolescence had less distress. The results indicate trait anxiety as an important predictor of mental distress. Gender differences in other predictors suggest gender differences in coping.

Use of Alternative Medicine Among Norwegian Cancer Patients is Associated with Mental Distress - A Follow-up Study

The purpose of this study was to investigate the relationship between the use of alternative medicine (AM) by cancer patients' and the level of self-perceived mental distress. One hundred and fifty-seven cancer patients were included in a longitudinal questionnaire-based study 12 months after their first contact with the Department of Oncology, University Hospital of Tromsø, during the period 1990 to 1991. Eligible patients received follow-up questionnaires after 24 and 60 months recording their use of AM and measuring their perceived mental distress (GHQ-20). A total of 64 (41%) of the 157 patients who completed at least one questionnaire reported using AM one or more times during follow-up (ever-use). Between 65% and 79% of patients who were eligible at each point of the study completed the GHQ questionnaire. After 60 months of follow-up, 104 patients were still alive and 54 patients (52% of the survivors) had completed all the questionnaires. At inclusion in the study, significantly more AM users reported mental distress (57%) than non-users (20%) (p=0.001). After 24 and 60 months, the corresponding figures were 42% versus 29% (p=0.18), and 30% versus 10% (p=0.02), respectively. When adjusted for sex, age and disease progression, use of AM was found to be an independent factor highly associated with mental distress at 12 months (OR=5.5, 95% CI 2.1-14.4). Later in the study, progression/relapse of cancer proved to be a more important predictor of mental distress. These findings suggest that, in North Norway, seeking alternative treatment is more common among mentally distressed cancer patients.

Job Strain, Effort-Reward Imbalance and Mental Distress: A study of occupations in general medical practice

There is increasing evidence to support the predictive power of social epidemiological models such as Effort-Reward Imbalance (Siegrist, 1996) and the Job-Strain Model (Karasek, and Theorell, 1990) for explaining occupational stress, although it has been suggested that the models may have distinctive contributions towards explaining work stress in specific work settings. Alternatively, it has been suggested that the explanatory power of the different models might be enhanced if they were combined. The aim of this paper is to explore these questions by examining the power of the two different models both separately and in combination for explaining job satisfaction and mental distress in general medical practice. This analysis was based on data collected from a postal survey of the members of staff (N=1089, response rate = 70%) of 81 practices, which were randomly selected from all general practices in the National Health Service Executive South East region. The results show that while both models were predictors of mental distress and job satisfaction the models that combined different dimensions were the strongest predictors.

Predictors of mental distress and poor physical health among homeless women

We tested a latent variable path model in which situational, personal, and social resources predicted several mediators and the key health outcomes of mental distress and poor physical health among 871 homeless women. Mental distress was predicted by risky sexual behavior, less social support, avoidant coping, less self-esteem, client abuse history, social support from deviant sources, less drug self-efficacy and health care utilization. Poor physical health was predicted by a client abuse history, less drug self-efficacy, fewer perceived rewards for drug use, higher perceived costs for drug use, and a doctor visit. Current risky sexual behavior was predicted by a parent drug abuse history, less drug self-efficacy, and more social support from deviant sources. Current drug use was predicted by parent drug abuse history, less drug self-efficacy, more social support from deviant sources and by high perceived costs for drug use. Implications of results for intervention and theory are discussed.

Generational differences in psychosocial adaptation and predictors of psychological distress in a population of recent Vietnamese immigrants.

While first-wave Vietnamese immigrants adapted well to life in the United States, subsequent immigrants have had greater adjustment difficulties, including more evidence of psychological distress. This study aimed to analyze psychosocial adaptation differences among three generations of recent Vietnamese immigrants, as well as to examine predictors of mental distress in the sample as a whole. A community sample of 184 recent Vietnamese immigrants, categorized as either elderly, middle-aged, or young adults, was assessed for levels of psychological distress, including depression, anxiety, and PTSD, as well as family conflict, dissatisfaction with life in the U.S., acculturation and biculturalism, social support, coping, and premigratory stressors. Young Vietnamese adults were most acculturated, most bicultural, and reported themselves as healthiest and least depressed. They were most often working, least often on welfare, and had the highest family income. However, they also reported most dissatisfaction with their current lives in the U.S. and most family conflict. Regression analysis explaining approximately one-quarter of the variance in mental distress implicated current dissatisfaction with and lack of adjustment of life in the United States, as well as greater acculturation and increased family conflict. Although young adults scored significantly higher than other generations on most of the risk factors for psychological distress, they appeared to be buffered against poorer mental health outcomes by factors of generation and perceived positive overall well-being. In terms of testing a predictive model of psychological distress, this study found current adjustment factors significantly more important in determining mental health outcomes than premigratory stressors such as war-related traumas.

Mental Distress and Recovery In a High-Risk Bereavement Sample Three Years After Untimely Death

Recovery from postdisaster bereavement was the primary concern of this longitudinal study: would levels of mental distress and recovery reported 1 year following a natural disaster be better predictors of mental distress and recovery reported 3 years postdisaster than demographic variables, concurrent life stress, and mediating factors? The 119 bereaved and control participants studied in 1981, one year following the 1980 volcanic eruption of Mount Saint Helens, were recontacted in 1983; of these, 85 consented to follow-up. The 1983 data collection consisted of identical measurement tools and procedures used in 1981. Three regression analyses addressed prediction of mental distress and recovery. The first two analyses compared disaster-bereaved and nondisaster-loss controls; the third pertained only to the bereaved. For the bereaved/control comparisons, 1981 levels of mental distress, age, sex, education, and 1983 levels of negative life stress, self-efficacy, and social support were predictors of the dependent variable, mental distress. For the bereaved group, 1981 mental distress and 1983 self-efficacy scores were the only significant predictors of 1983 mental distress. In the control group, two additional variables, sex and concurrent negative life stress, were also significant predictors of 1983 mental distress. In the final regression analysis, predictors of self-rated recovery, importance of the deceased person rated by the bereaved 1 year postdisaster, and beliefs of preventability of death reported 3 years postdisaster were predictors of 1983 recovery. Only importance of the deceased person was a significant predictor in the latter analysis. Results suggest that recovery is a lengthy process and that much remains to be learned about influencing factors.