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Published Online: November 1997

Long-Term Mental Health Effects of the Chernobyl Disaster: An Epidemiologic Survey in Two Former Soviet Regions

Publication: American Journal of Psychiatry

Abstract

OBJECTIVE: This study assessed the long-term mental health effects of the nuclear accident at Chernobyl. METHOD: Two population samples (N=3,044), one from the Gomel region, close to the accident site, and one from Tver, 500 miles away, were studied 6 years after the event with the use of a variety of self-report questionnaires and a standardized psychiatric interview. RESULTS: The prevalence of psychological distress and DSM-III-R psychiatric disorders was exceptionally high in both regions. Scores on the self-report scales were consistently higher in the exposed region; however, a higher risk of DSM-III-R psychiatric disorders could be demonstrated only among women with children under 18 years of age in the exposed region. CONCLUSIONS: A substantial long-term mental health effect of the Chernobyl incident was demonstrated, mainly at a subclinical level. (Am J Psychiatry 1997; 154:1605–1607)
Ten years after the Chernobyl nuclear reactor accident (Ukraine, April 26, 1986), a dramatic increase in thyroid cancer among exposed children was demonstrated, but so far, no other serious health effects have been established (1). The literature on disasters suggests that long-term mental health effects may have occurred as well, and that mothers with young children may be particularly vulnerable in this respect (2). In the case of the Chernobyl disaster, two systematic studies have shown higher levels of psychological distress in the affected population, particularly among women (3, 4). In an earlier article (5) we reported a high prevalence of DSM-III-R disorders in the severely affected Gomel region in Belarus, with a significantly higher risk among evacuees and mothers with young children. In the present article we compare the results of the Gomel study with those of a study that was conducted 6 months later in the Tver region (Russian Federation), about 500 miles to the northeast. This region is similar in socioeconomic structure, population size, and cultural background but is not contaminated by fallout from Chernobyl.
The aim of the study was to test the hypotheses 1) that 6 years after the event, there would be more psychopathology in the exposed region after control for sociodemographic differences between the populations and 2) that being a mother with young children would constitute a risk factor in the disaster area but not in the control area.

METHOD

Because no population registers were available, a cross-section of the two populations was sampled at sites such as factories, collective farms, schools, and libraries throughout the regions (5). In the Tver region, interview sites were matched as closely as possible to the interview sites in Gomel (6). Participation took place on a voluntary and strictly confidential basis. In order to emphasize this, no further information was collected about nonresponders.
A two-stage design was used. During phase 1 a self-report questionnaire, including the 12-item version of the General Health Questionnaire (7), was administered. In Gomel 1,617 people participated in phase 1 (92% response); in Tver, 1,427 (88%).
In phase 2, a random stratified subsample, containing an oversampling of respondents with high General Health Questionnaire scores, was examined by a clinician using the Munich Diagnostic Checklist for DSM-III-R (8). In Gomel 265 people participated in phase 2 (82% response); in Tver, 184 (65% response). Phase 2 assessment further included the Brief Scales for Anxiety and Depression (9) and the Bradford Somatic Inventory (10) for the assessment of psychosomatic distress. All questionnaires were found to have good internal consistency and reliability under the local circumstances (6). A time frame of 1 month (“the last 4 weeks”) was used.
The results of phase 2 assessments were weighted back to their distribution in the phase 1 sample by using the sampling rates as weights. To enhance statistical power, DSM-III-R categories were combined into three main groups: mood disorders, anxiety disorders, and any covered DSM-III-R diagnosis. Odds ratios and adjusted odds ratios (adjusted for potential confounding by sociodemographic variables) were calculated, with site of the study as the main predictor. Log likelihood ratios were calculated for all female subjects to assess whether adding the interaction between 1) being a mother with children under 18 years of age and 2) living in the affected region (Gomel) would significantly improve the fit of the model without the interaction term. The Bonferroni-Holm correction was used to adjust for multiple pairwise comparisons.

RESULTS

Table 1 shows the sociodemographic characteristics of the two phase 1 samples. The Tver sample contained significantly more women, more divorced and widowed persons, and fewer persons with higher education.
Table 2 presents the prevalence estimates and odds ratios for each of the outcome measures. Respondents from the Gomel region had significantly higher scores on all three psychiatric symptom scales, with the exception of the anxiety subscale of the Brief Scales for Anxiety and Depression. However, no statistically significant differences were found for the prevalence of DSM-III-R disorders. Mood disorders were nonsignificantly more prevalent in the Gomel sample, mainly because of higher rates of depression not otherwise specified in Gomel (4.1% versus 1.0%). Anxiety disorders were more common in Tver, particularly general anxiety disorder (10.6% versus 4.1%). Posttraumatic stress disorder was seen more frequently in Gomel (2.4% versus 0.4%), but none of the respondents linked their complaints directly to the disaster. None of these differences was statistically significant.
Adding the interaction between being a mother and living in Gomel improved the fit of the logistic model significantly for the Brief Scales for Anxiety and Depression anxiety subscale score (log likelihood ratio=34.26, p<0.001) and total score (log likelihood ratio=13.44, p<0.05), for any DSM-III-R disorder (log likelihood ratio=79.84, p<0.05), and for DSM-III-R anxiety disorders (log likelihood ratio=15.44, p<0.001). These results indicate that for these outcomes, being a mother was a risk factor in Gomel but not in Tver.

DISCUSSION

= The aim of the study was to assess the long-term effects of the Chernobyl nuclear disaster on the mental health status of a severely affected population. The study shows high levels of psychopathology in the two regions studied, with significantly higher levels among the exposed population, especially among mothers with children under 18 years of age. The results corroborate earlier research on the mental health consequences of this disaster, which showed higher scores on the 12-item General Health Questionnaire among exposed women but not among men (4). Our study now shows that higher levels of distress may be demonstrated among the entire adult population. At the level of clinically significant psychopathology, which has not been studied earlier, the differences appear to be limited to specific risk groups, especially mothers with young children.
A major limitation of our study was the sampling procedure, which excluded people who were institutionalized, on sick leave, or on maternity leave. This may have led to an underestimation of the prevalence of disorders (e.g., of psychotic disorders). However, it seems justified to compare these samples because of the standardized approach to sample selection and data collection in the two regions. Also, there were sociodemographic differences between the exposed and the unexposed groups. The somewhat higher odds ratios after adjustment for these variables suggests that these differences have minimized differences in mental health status between the two samples. Finally, selective migration from the disaster area may have attenuated differences in mental health between the two regions.
Despite these limitations, our findings clearly suggest a substantial impact of the Chernobyl disaster on mental health among the affected population as long as 6 years after the event. The study confirms the observations following the Three Mile Island nuclear incident in 1979 and suggests that nuclear disasters, with their long-term physical health implications, may be more likely to induce chronic psychopathology than other disasters. The effects appear to be limited mainly to subclinical distress. However, in view of the higher rates of clinical pathology observed among mothers with young children in the exposed region, one may speculate that psychiatric symptoms among these women are fostered by genuine concern about the health of their children, (e.g., about the risk of thyroid cancer). Further research in this area and public health programs to mitigate the mental health consequences among this risk group are needed.
TABLE 1
TABLE 2

Footnote

Received Dec. 7, 1995; revisions received Aug. 6, 1996, and Feb. 28, 1997; accepted March 27, 1997. From the Department of Psychiatry, University Hospital Utrecht; the Department of Clinical and Health Psychology, Utrecht University; the Serbski Institute for Forensic and Social Psychiatry, Moscow; and the Amsterdam Institute for Addiction Research, Department of Psychiatry, University of Amsterdam. Address reprint requests to Dr. Havenaar, Department of Psychiatry, University Hospital Utrecht, P.O. Box 85500, 3508 GA Utrecht, the Netherlands. This study was part of a technical aid program sponsored by the Dutch government and executed by the National Institute of Public Health and the Environment and the University Hospital Utrecht. The authors thank T. Wohlfarth for her help with statistics.

References

1.
International Atomic Energy Agency: Proceedings of the EC/IAEA/WHO Conference: One Decade After Chernobyl: Summing Up the Radiological Consequences of the Accident. Vienna, International Atomic Energy Agency, 1996
2.
Bromet E, Dew MA: Review of psychiatric epidemiologic research on disasters. Epidemiol Rev 1995; 17:113–118
3.
Ginzburg HM: The psychological consequences of the Chernobyl accident—findings from the International Atomic Energy Agency study. Public Health Rep 1993; 108:184–192
4.
ViinamÄki H, Kumpusalo E, Myllykangas M, Salomaa S, Kumpusalo L, Komakov S, Ilchenko I, Zhukowsky G, Nissinen A: The Chernobyl accident and mental well being—a population study. Acta Psychiatr Scand 1995; 91:396–401
5.
Havenaar JM, van den Brink W, Kasyanenko AP, van den Bout J, Meijler-Iljina L, Poelijoe NW, Wohlfarth T: Mental health problems in the Gomel region (Belarus): an analysis of risk factors in an area affected by the Chernobyl disaster. Psychol Med 1996; 26:845–855
6.
Havenaar JM: After Chernobyl: Psychological Factors Affecting Health After a Nuclear Disaster (doctoral thesis). Utrecht, the Netherlands, Utrecht University, Faculty of Medicine, 1996
7.
Goldberg DP, Williams P: The User's Guide to the General Health Questionnaire. Slough, England, National Foundation for Educational Research-Nelson, 1988
8.
Hiller W, Zaudig M, Mombour W: Development of diagnostic checklists for use in routine clinical care: a guideline designed to assess DSM-III-R diagnoses. Arch Gen Psychiatry 1990; 47:782–784
9.
Goldberg D, Bridges K, Duncan-Jones P, Grayson D: Detecting anxiety and depression in general medical settings. BMJ 1988; 297:897–899
10.
Mumford DB, Bavington JT, Bhatnagar KS, Hussain Y, Mirza S, Naraghi MM: The Bradford Somatic Inventory: a multi-ethnic inventory of somatic symptoms reported by anxious and depressed patients in Britain and the Indo-Pakistan subcontinent. Br J Psychiatry 1991; 158:379–386

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 1605 - 1607
PubMed: 9356574

History

Published in print: November 1997
Published online: 1 April 2006

Authors

Affiliations

Johan M. Havenaar, M.D., Ph.D.
Galina M. Rumyantzeva, M.D., Ph.D.
Wim van den Brink , M.D., Ph.D.
Nico W. Poelijoe, Ph.D.
Jan van den Bout, Ph.D.
Herman van Engeland, M.D., Ph.D.
Maarten W.J. Koeter, Ph.D.

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