Skip to main content

The English National Cohort Study of Flooding & Health: psychological morbidity at three years of follow up

Abstract

Background

Flooding is expected to increase due to climate change, population growth and urban development. The longer-term mental health impacts of flooding are not well understood. In 2015, the English National Study of Flooding and Health was established to improve understanding of the impact of flooding on health and inform future public health action.

Methods

We used 3 years of data from the English National Study of Flooding and Health. Participants who had consented to follow up were sent a questionnaire. Participants were classified into either “unaffected”, “disrupted” or “flooded” according to their exposure. Logistic regression models were used to calculate adjusted odds ratios for probable depression, anxiety and post-traumatic stress disorder (PTSD) in each exposure group. The Wald test was used to assess the difference in probable mental health outcomes for those who did and did not experience “persistent damage” to their home. Conditional logistic regression was conducted to assess change in prevalence over the 3 years and to identify possible determinants of recovery.

Results

Eight hundred nineteen individuals were included in the final analysis – 119 were classified as unaffected, 421 disrupted and 279 flooded. Overall, 5.7% had probable depression, 8.1% had probable anxiety and 11.8% had probable PTSD, with higher prevalence in the flooded group compared with the unaffected group. After adjustment for potential confounders, probable mental health outcomes were higher in the flooded group compared to the unaffected group, significantly for probable depression (aOR 8.48, 95% CI 1.04–68.97) and PTSD (aOR 7.74, 95% CI 2.24–26.79). Seventy-seven (9.4%) participants reported experiencing persistent damage to their home, most commonly damp (n = 40) and visible mould (n = 26) in liveable rooms. Of the 569 participants who responded at all 3 years, a significant reduction in prevalence for all probable mental health outcomes was observed in the flooded group.

Conclusions

Flooding can have severe long-lasting consequences on mental health in affected populations. If these problems are not identified and treated early, they may persist for years. Further research is necessary to develop and evaluate interventions to increase resilience in at risk populations and to ensure timely access to support services following flooding.

Peer Review reports

Background

Flooding is the most common natural disaster worldwide and has been shown to have an adverse impact on both physical and psychological health [1]. In England, it is estimated that around 5.2 million properties are at risk of flooding [2]. Frequency and intensity of floods are anticipated to increase in the future due to population growth, urban development on flood plains, and climate change [3, 4].

In high-income countries such as the UK, the greatest burden of disease following flooding is adverse mental health outcomes [5]. In addition, displacement from homes can result in stress arising from dealing with household repairs and disruption to public services [6]. A number of factors have been found to increase vulnerability to experiencing psychological impacts following extreme weather, including older age, pre-existing medical conditions, inadequate insurance cover and social deprivation [7].

There is a paucity of studies quantifying the longer-term impacts of flooding on health, particularly beyond the first year post-flooding [8]. Following floods affecting England in 2013–2014, Public Health England (PHE) established the National Study of Flooding and Health (NSFH), to investigate the long-term impact of flooding and associated disruption on psychological health. The study aims to support preparedness and response activities to future flooding events.

The NSFH has previously identified a significant adverse impact on mental health, both at one and 2 years post-flooding, in those whose homes were flooded and whose lives were otherwise disrupted by flooding, compared with those unaffected [9, 10]. The NSFH also identified that adverse outcomes are associated with secondary stressors [11], such as insurance-related issues [12], and with displacement from home without warning [13]. In this study, we aim to assess mental health morbidity at 3 years post-flooding and the impact of persistent flood-related damage in the home. We also aim to assess the prevalence change over the three-year period, to identify possible predictors for psychological recovery.

Methods

Study design

This study is at year three of follow-up as part of the English NSFH, which was designed as a longitudinal observational open cohort. The participants are people affected by flooding between 1 December 2013 and 31 March 2014 (which are described in more detail elsewhere [9]).

Study population

The original cohort comprised of 2126 participants, with 1408 providing consent for follow-up [9]. At year two, of the 1408 contacted a total of 1064 responded [10]. 1361 participants were contacted at year three. This included all participants who had consented to follow-up at year one, irrespective of their response at year two, had not withdrawn consent subsequently and remained contactable.

Data collection

Participants were sent a 21-item bespoke questionnaire by either post or email. At year three, the questionnaire collected the following demographic information: marital status, educational level, employment status and presence of ongoing illness. Participant sex, ethnicity and age were collected at year one.

The participants had been classified in year one according to their exposure to flooding in the winter of 2013/14. The categories were either “unaffected”, “disrupted” (life disrupted by flooding, but no entry of water into any liveable room of the home) or “flooded” (entry of water into at least one liveable room of the home).

The questionnaire included validated instruments to determine probable psychological outcomes based on self-reported symptoms. The instruments used were the Patient Health Questionnaire (PHQ-2) for depression [14], Generalized Anxiety Disorder Scale (GAD-2) for anxiety [15] and PTSD checklist (PCL-6) for PTSD [16]. Cut-off scores were ≥ 3 for PHQ-2 and GAD-2 and ≥ 14 for PCL-6, respectively.

The questionnaire also included questions to determine whether the participant’s home had ongoing damage from the original floods (“persistent damage”), whether they had experienced any new episodes of flooding, status of any insurance re-payment and other potential secondary stressors (dealing with insurance-related issues, dealing with home repairs, concerns about own health, relationship problems, disagreements with neighbours and concerns about the value of the home).

“Persistent damage” was defined as ongoing flood-related issues in the home damp in liveable rooms, visible mould in liveable rooms, problems with damp or water in non-liveable rooms, sewage backing up, problems with septic tank and problems with other utilities (drinking water, gas, oil, electricity etc) attributed to the floods in the winter of 2013/2014.

Statistical analysis

We performed a descriptive analysis of the sociodemographic characteristics of respondents, their exposure to flooding and any experience of persistent damage, and mental health outcomes of probable depression, anxiety and PTSD.

It is important to note that the crude mental health prevalence presented are not exactly comparable to those presented at year two of this study, in the previously published paper by Jermacane et al. [10]. In Jermacane et al, 2018, individuals who had responded to some, but not all mental health questions, were included in the denominator data, but in the present study those subjects were excluded, in line with the approach of Waite et al. [9] for year one data. In our paper, we have calculated prevalence according to the method used by Waite et al, 2017 at all 3 years, to allow for easier comparison across all 3 years.

Crude logistic regression models were run for all exposure groups to test for associations between exposure variables (flooding and disruption from flooding) and probable mental health outcomes, using those unaffected as the reference group.

Multivariable logistic regression models were run to adjust for a priori potential confounders, including age group, sex, ethnic group, pre-existing illness, deprivation score (Index of Multiple Deprivation, IMD), marital status, education and employment.

We used the Wald test to assess whether there was a significant difference in probable mental health outcomes between those who experienced persistent damage at year three and those who did not; for this analysis we only included disrupted and flooded respondents, with the disrupted group as the reference. Conditional logistic regression was conducted to test for significant changes in prevalence over the 3 years by each exposure group and to identify possible determinants of recovery for mental health outcomes. Only those who responded in all 3 years were included in the matched analyses. All data were merged, cleaned and analysed in R software version 3.5.0 (R Foundation for Statistical Computing, Vienna, Austria).

Results

Of the 1361 participants contacted at year three, 896 responded with a questionnaire, however 29 questionnaires were blank and were not included in the analysis (63.7% valid response rate). A further 48 exclusions were made, including 9 duplicates, 3 who reported a new episode of flooding and 36 who had a missing exposure status at year one. Of the 819 included in the final analysis, 119 (14.5%) were classified as unaffected, 421 (51.4%) as disrupted and 279 (34.0%) as flooded. Of those, 569 had completed the questionnaire in all 3 years, with 93 (16.3%) classified as unaffected, 289 (50.8%) as disrupted and 187 (32.9%) as flooded.

Overall, approximately 5.7% reported symptoms of probable depression, 8.1% of probable anxiety and 11.8% of probable PTSD, with the prevalence of all adverse probable mental health outcomes higher in the flooded group than unaffected (Table 1).

Table 1 Crude prevalence of mental health outcomes by exposure group (year 3)

The adjusted odds ratio (aOR) of probable depression and PTSD were significantly higher in the flooded group compared with the unaffected group, with aOR 8.48 (95% CI 1.04–68.97) and aOR 7.74 (95% CI 2.24–26.79), respectively. The aOR of probable anxiety was elevated in the flooded group, compared with the unaffected group but not significantly (aOR 2.68, 95% CI 0.88–8.20). Participants who were disrupted by flooding had increased odds of PTSD (aOR 4.33, 95% CI 1.26–14.92), compared with the unaffected group; no other probable mental health outcomes in the disrupted group were statistically significant (Table 2).

Table 2 Crude and adjusted odds ratios (aOR) of mental health outcomes by exposure group

Seventy-seven (9.4%) participants reported persistent damage to their home because of the original flooding episode. The most commonly reported issues were damp in liveable rooms (n = 40), visible mould in liveable rooms (n = 26), problems with damp or water in non-liveable rooms such as garage, cellar or basement (n = 12) and drains backing up and flooding (n = 10). After adjusting for potential confounders, those who reported persistent home damage at year three were statistically more likely to suffer from depression and PTSD, compared with those who did not report persistent damage, however anxiety was not significantly elevated in this group (Table 3).

Table 3 Crude and adjusted odds ratios (aOR) of mental health outcomes of participants with and without persistent damage to year three

We observed a prevalence change of probable mental health outcomes over three consecutive years post-flooding, for the 569 participants who completed the questionnaire in all 3 years (Fig. 1, Supplementary Table 1). In the flooded group, we observed a significant reduction in prevalence across all three probable mental health outcomes: depression (year one 20.8%, year two 11.2%, year three 7.8%, p = 0.0014), anxiety (year one 27.6%, year two 12.3%, year three 11.8%, p < 0.001) and PTSD (year one 33.2%, year two 24.9%, year three 17.1%, p = 0.001). The reduction was suggestive in the disrupted group for depression (year one 8.3%, year two 4.8%, year three 5.1%, p = 0.05) and in the unaffected group for PTSD (year one 5.6%, year two 0%, year three 1.9%, p = 0.045), but not for anxiety in either the disrupted or unaffected group. No significant predictors were identified for the reductions in prevalence of adverse mental health outcomes.

Fig. 1
figure1

Prevalence of mental health outcomes by exposure group over 3 years post-flooding of participants who responded all 3 years

Discussion

Few studies have focused on the long-term prevalence of mental health problems in those affected by flooding, with systematic mapping reviews by Zhong et al, 2018 and Fernandez et al, 2015 highlighting the lack of studies conducted on this topic two or more years post-flooding [1, 17]. Our paper assessed the prevalence of probable mental health outcomes 3 years after a flooding event.

We identified that the adverse impact of flooding on mental health persists for at least 3 years after the flooding event, with a higher prevalence of psychological morbidity (significantly for depression and PTSD) in flooded participants, compared with those unaffected. Many individuals reported persistent damage to their homes, which was a strong predictor for poorer mental health outcomes, compared with other people who were exposed (disrupted or flooded) but who did not report experiencing persistent damage issues.

Overall the data show a reduction in psychological morbidity over the 3 years in the flooded group, a suggestive decline in the disrupted group and no significant differences in the unaffected group. Unfortunately, we were unable to identify any predicators of this recovery in this cohort; previous studies has found factors such as availability of social support and personal coping style could influence recovery from PTSD post-flooding [18, 19]; however, these were conducted in China and more research is required on understanding the mechanisms for recovery in other contexts post-flooding.

We observed nearly half the prevalence of PTSD symptoms in the flooded group at year three post-flooding, compared with year one. This is in line with previous studies on PTSD related to natural disasters where one meta-analysis calculated a spontaneous remission rate of 60.0% [20], and may partly reflect the resolution of ongoing stressors that were helping to maintain distress in this group.

Within our study we observed 17.5% of flooded individuals with scores that indicated probable PTSD at 3 years after flooding, which is line with previous studies – 22% of individuals in South Korea at 18 months after flooding [21] and 8.6% of individuals 2.5 years after flooding in China [22] experienced probable PTSD. However, despite the decline in prevalence observed in people who have experienced flooding over the 3 years, there is still persistence of psychological morbidity, which may indicate a possible risk of chronic mental health problems if affected people do not receive suitable treatment.

Limitations

There are several limitations with our study. There were a low number of cases in the unaffected group, which impacts the precision and power of our study – particularly for probable depression in the unaffected group, which is only based on one case.

Our study was conducted in response to flooding that occurred in 2013–2014 in the south of England within a homogenous population in terms of income, age and ethnic group; it may not generalizable for all English populations or representative across other geographical contexts. As we excluded people who reported experiencing a further episode of flooding (since the original floods in 2013–2014), our data does not consider the impact of repeated flooding on the extent of mental health outcomes.

A strength of our paper is the use of conditional logistic regression, where we have matched the same individuals over the 3 years. This allowed us to understand the change in mental health prevalence over time without having to control for potential confounders. This is particularly important, as the review by Fernandez et al, 2015 identified that most other studies had not taken confounding into account, limiting overall confidence in their study conclusions [1].

Further research

We have identified that experience of flooding followed by persistent damage to the home is a significant predictor for poorer mental health outcomes. It would be important to understand in more detail the types of damage experienced and how these impact on mental health, particularly in vulnerable groups who may experience and respond to damage differently, to guide appropriate public health action. Studies are also needed to develop and evaluate interventions, such as social support, to reduce the impact of flooding on mental health.

Conclusions

This study has shown that the adverse impact of flooding on mental health persists for at least 3 years after the event, and that persistent damage to liveable rooms in the home is associated with more severe mental health outcomes. Work is needed to develop and evaluate interventions to increase resilience within populations at risk of flooding and to ensure prompt access to appropriate services following a flooding event.

Availability of data and materials

The datasets used and analysed during the study are available from Public Health England on reasonable request.

Abbreviations

aOR:

Adjusted odds ratio

CI:

Confidence interval

NSFH:

National Study of Flooding and Health

OR:

Odds ratio

PHE:

Public Health England

PTSD:

Post-traumatic stress disorder

UK:

United Kingdom

References

  1. 1.

    Fernandez A, Black J, Jones M, et al. Flooding and mental health: a systematic mapping review. PLoS One. 2015;10(4):1–20. https://doi.org/10.1371/journal.pone.0119929.

    CAS  Article  Google Scholar 

  2. 2.

    Environment A. Flooding in England: a national assessment of flood risk: Environ Agency; 2009. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/292928/geho0609bqds-e-e.pdf.

  3. 3.

    Government HM. UK climate change risk assessment 2017. 2017; (January). https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/292928/geho0609bqds-e-e.pdf.

    Google Scholar 

  4. 4.

    Paterson DL, Wright H, Harris PNA. Health risks of flood disasters. Clin Infect Dis. 2018;(July):1–5. https://doi.org/10.1093/cid/ciy227.

  5. 5.

    Menne B, Murray V. Floods in the WHO European region: health effects and their prevention. Denmark: WHO Europe; 2013. http://www.euro.who.int/__data/assets/pdf_file/0020/189020/e96853.pdf.

  6. 6.

    Hajat S, Ebi KL, Kovats RS, Menne B, Edwards S, Haines A. The human health consequences of flooding in Europe: a review. In: Extreme weather events and public health responses; 2005. p. 185–96. https://doi.org/10.1007/3-540-28862-7_18.

    Google Scholar 

  7. 7.

    Paavola J. Health impacts of climate change and health and social inequalities in the UK. Environ Heal A Glob Access Sci Source. 2017;16(Suppl 1). https://doi.org/10.1186/s12940-017-0328-z.

  8. 8.

    Ohl CA, Tapsell S. Flooding and human health. BMJ. 2000;321(7270):1167–8. https://doi.org/10.1136/bmj.321.7270.1167.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Waite TD, Chaintarli K, Beck CR, et al. The English national cohort study of flooding and health: cross-sectional analysis of mental health outcomes at year one. BMC Public Health. 2017;17(1):1–9. https://doi.org/10.1186/s12889-016-4000-2.

    Article  Google Scholar 

  10. 10.

    Jermacane D, Waite TD, Beck CR, et al. The English national cohort study of flooding and health: the change in the prevalence of psychological morbidity at year two. BMC Public Health. 2018;18(1):1–8. https://doi.org/10.1186/s12889-018-5236-9.

    Article  Google Scholar 

  11. 11.

    Tempest EL, National E, Ã HSG. Secondary stressors are associated with probable psychological morbidity after flooding: a cross-sectional analysis. Eur J Public Health. 2017:6–9. https://doi.org/10.1093/eurpub/ckx182.

  12. 12.

    Mulchandani R, Smith M, Armstrong B, et al. Effect of insurance-related factors on the association between flooding and mental health outcomes. 2019;1–9. https://doi.org/10.3390/ijerph16071174.

  13. 13.

    Munro A, Kovats RS, Rubin GJ, et al. Effect of evacuation and displacement on the association between flooding and mental health outcomes: a cross-sectional analysis of UK survey data. Lancet Planet Health. 2017;1(4):e134–41. https://doi.org/10.1016/S2542-5196(17)30047-5.

    Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Löwe B, Kroenke K, Gräfe K. Detecting and monitoring depression with a two-item questionnaire (PHQ-2). J Psychosom Res. 2005;58(2):163–71. https://doi.org/10.1016/j.jpsychores.2004.09.006.

    Article  PubMed  Google Scholar 

  15. 15.

    Kroenke K, Spitzer RL, Williams JBW, Lowe B. An ultra-brief screening scale for anxiety and depression: the PHQ-4. Psychosomatics. 2009;50(6):613–21. https://doi.org/10.1176/appi.psy.50.6.613.

    Article  PubMed  Google Scholar 

  16. 16.

    Lang AJ, Stein MB. An abbreviated PTSD checklist for use as a screening instrument in primary care. Behav Res Ther. 2005;43(5):585–94. https://doi.org/10.1016/j.brat.2004.04.005.

    Article  PubMed  Google Scholar 

  17. 17.

    Zhong S, Yang L, Toloo S, et al. The long-term physical and psychological health impacts of flooding: a systematic mapping. Sci Total Environ. 2018;626(February):165–94. https://doi.org/10.1016/j.scitotenv.2018.01.041.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Dai W, Wang J, Kaminga AC, et al. Predictors of recovery from post-traumatic stress disorder after the dongting lake flood in China: a 13–14 year follow-up study. BMC Psychiatry. 2016:1–9. https://doi.org/10.1186/s12888-016-1097-x.

  19. 19.

    Dai W, Chen L, Tan H, et al. Association between social support and recovery from post-traumatic stress disorder after flood: a 13–14 year follow-up study in Hunan, China. BMC Public Health. 2016:1–9. https://doi.org/10.1186/s12889-016-2871-x.

  20. 20.

    Morina N, Wicherts JM, Lobbrecht J, Priebe S. Remission from post-traumatic stress disorder in adults: a systematic review and meta-analysis of long term outcome studies. Clin Psychol Rev. 2014;34(3):249–55. https://doi.org/10.1016/j.cpr.2014.03.002.

    Article  PubMed  Google Scholar 

  21. 21.

    Heo J, Kim M-H, Koh S-B, et al. A prospective study on changes in health status following flood disaster. Psychiatry Investig. 2008;5(3):186. https://doi.org/10.4306/pi.2008.5.3.186.

    Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Liu A, Tan H, Zhou J, Li S. An epidemiologic study of posttraumatic stress in flood victims in Hunan China. Can J Psychiatry. 2006;51(6):350–4..

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Angie Bone and Mark Reacher for their contributions within the English National Study of Flooding and Health. The authors wish to acknowledge the contributions of Gloucestershire County Council, Sedgemoor District Council, South Somerset District Council, Surrey County Council, Tonbridge and Malling Borough Council, Wiltshire Council, the Study Stakeholder oversight group and all PHE staff who contributed to study administration, set up and data entry.

Funding

The research was funded in part by the National Institute for Health Research Health Protection Research Units (NIHR HPRU) in Emergency Preparedness and Response at King’s College London, Environmental Change at the London School of Hygiene and Tropical Medicine and Evaluation of interventions at the University of Bristol, in partnership with Public Health England (PHE). The views expressed are those of the authors and not those of the NHS, the NIHR, The Department of Health or Public Health England. The funders had no role in design of the study, and collection, analysis and interpretation of data and in writing the manuscript.

Author information

Affiliations

Authors

Contributions

RM led on the analysis of the study as well as drafting of the work for publication. BA contributed to the design of the study, drafting and revision of the work for publication, and provided expert guidance on the statistical analysis. CRB contributed to the design, analysis and interpretation of the study and drafting and revision of the work for publication. TDW contributed to the design and analysis of the study and drafting and revision of the work for publication. TDW was the lead researcher at year one of the study. RA contributed to the design and analysis of the study and drafting and revision of the work for publication. SK contributed to the design and analysis of the study and drafting and revision of the work for publication. GL contributed to the design of the study. GJR contributed to the design, analysis and interpretation of the study, drafting and revision of the work for publication and is a primary investigator of the study. IO contributed to the design, analysis and interpretation of the study, drafting and revision of the work for publication and is a primary investigator of the study. All authors, external and internal, had full access to all of the data in the study and can take responsibility for the integrity and accuracy of the data analysis. The lead author (Isabel Oliver) affirms that the manuscript is an honest, accurate and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and if relevant, registered) have been explained. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ranya Mulchandani.

Ethics declarations

Ethics approval and consent to participate

The National Study on Flooding and Health was granted ethical approval by the Psychiatry, Nursing and Midwifery Research Ethics Subcommittee at King’s College London [Reference PNM 1314 152]. All study respondents provided written consent to participate.

Consent for publication

This manuscript does not contain individual level data and thus is not relevant. All participants consented to the use of their aggregated data for publication as a journal article.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Supplementary Table 1.

Prevalence of mental health outcomes by exposure group over 3 years post-flooding of participants who responded at all 3 years.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Mulchandani, R., Armstrong, B., Beck, C.R. et al. The English National Cohort Study of Flooding & Health: psychological morbidity at three years of follow up. BMC Public Health 20, 321 (2020). https://doi.org/10.1186/s12889-020-8424-3

Download citation

Keywords

  • Post-traumatic stress disorder
  • Depression
  • Anxiety
  • Psychological morbidity
  • Flooding