Hostname: page-component-77f85d65b8-5ngxj Total loading time: 0 Render date: 2026-04-18T16:48:49.947Z Has data issue: false hasContentIssue false

Association between naturally occurring lithium in drinking water and suicide rates: systematic review and meta-analysis of ecological studies

Published online by Cambridge University Press:  27 July 2020

Anjum Memon*
Affiliation:
Department of Primary Care and Public Health, Brighton and Sussex Medical School, UK
Imogen Rogers
Affiliation:
Department of Primary Care and Public Health, Brighton and Sussex Medical School, UK
Sophie M. D. D. Fitzsimmons
Affiliation:
Department of Primary Care and Public Health, Brighton and Sussex Medical School, UK
Ben Carter
Affiliation:
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
Rebecca Strawbridge
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
Diego Hidalgo-Mazzei
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic de Barcelona, IDIBAPS, CIBERSAM, Spain
Allan H. Young
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
*
Correspondence: Professor Anjum Memon. Email: a.memon@bsms.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

Background

The prevalence of mental health conditions and national suicide rates are increasing in many countries. Lithium is widely and effectively used in pharmacological doses for the treatment and prevention of manic/depressive episodes, stabilising mood and reducing the risk of suicide. Since the 1990s, several ecological studies have tested the hypothesis that trace doses of naturally occurring lithium in drinking water may have a protective effect against suicide in the general population.

Aims

To synthesise the global evidence on the association between lithium levels in drinking water and suicide mortality rates.

Method

The MEDLINE, Embase, Web of Science and PsycINFO databases were searched to identify eligible ecological studies published between 1 January 1946 and 10 September 2018. Standardised regression coefficients for total (i.e. both genders combined), male and female suicide mortality rates were extracted and pooled using random-effects meta-analysis. The study was registered with PROSPERO (CRD42016041375).

Results

The literature search identified 415 articles; of these, 15 ecological studies were included in the synthesis. The random-effects meta-analysis showed a consistent protective (or inverse) association between lithium levels/concentration in publicly available drinking water and total (pooled β = −0.27, 95% CI −0.47 to −0.08; P = 0.006, I2 = 83.3%), male (pooled β = −0.26, 95% CI −0.56 to 0.03; P = 0.08, I2 = 91.9%) and female (pooled β = −0.13, 95% CI −0.24 to −0.02; P = 0.03, I2 = 28.5%) suicide mortality rates. A similar protective association was observed in the six studies included in the narrative synthesis, and subgroup meta-analyses based on the higher/lower suicide mortality rates and lithium levels/concentration.

Conclusions

This synthesis of ecological studies, which are subject to the ecological fallacy/bias, supports the hypothesis that there is a protective (or inverse) association between lithium intakes from public drinking water and suicide mortality at the population level. Naturally occurring lithium in drinking water may have the potential to reduce the risk of suicide and may possibly help in mood stabilisation, particularly in populations with relatively high suicide rates and geographical areas with a greater range of lithium concentration in the drinking water. All the available evidence suggests that randomised community trials of lithium supplementation of the water supply might be a means of testing the hypothesis, particularly in communities (or settings) with demonstrated high prevalence of mental health conditions, violent criminal behaviour, chronic substance misuse and risk of suicide.

Information

Type
Review article
Copyright
Copyright © The Authors 2020. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists
Figure 0

Fig. 1 PRISMA flow diagram for study selection.

Figure 1

Table 1 Characteristics of studies included in the systematic review and meta-analysis

Figure 2

Fig. 2 Random-effects meta-analysis of the association between lithium concentration in drinking water and total suicide rates.

Standardised regression coefficients (β) for each study are presented as squares, with the position of the square corresponding to the β and the 95% CI shown by horizontal lines. 95% CIs for each study shown in the forest plot are obtained by back-transformation using the calculated s.e. used in the analysis and do not always conform exactly to the stated confidence intervals in the paper. The area of the square is inversely proportional to the variance in β. The diamond represents the pooled β and corresponding 95% CI.
Figure 3

Fig. 3 Random-effects meta-analysis of the association between lithium concentration in drinking water and male suicide rates.

Standardised regression coefficients (β) for each study are presented as squares, with the position of the square corresponding to the β and the 95% CI shown by horizontal lines. 95% CIs for each study shown in the forest plot are obtained by back-transformation using the calculated s.e. used in the analysis and do not always conform exactly to the stated confidence intervals in the paper. The area of the square is inversely proportional to the variance in β. The diamond represents the pooled β and corresponding 95% sCI.
Figure 4

Fig. 4 Random-effects meta-analysis of the association between lithium concentration in drinking water and female suicide rates.

Standardised regression coefficients (β) for each study are presented as squares, with the position of the square corresponding to the β and the 95% CI shown by horizontal lines. 95% CIs for each study shown in the forest plot are obtained by back-transformation using the calculated s.e. used in the analysis and do not always conform exactly to the stated confidence intervals in the paper. The area of the square is inversely proportional to the variance in β. The diamond represents the pooled β and corresponding 95% CI.
Supplementary material: File

Memon et al. Supplementary Materials

Memon et al. Supplementary Materials

Download Memon et al. Supplementary Materials(File)
File 8.2 MB

This journal is not currently accepting new eletters.

eLetters

No eLetters have been published for this article.