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Review
. 2019 May;49(7):1079-1088.
doi: 10.1017/S0033291718003896. Epub 2019 Jan 4.

Do natural experiments have an important future in the study of mental disorders?

Anita Thapar  1 , Michael Rutter  2
Affiliations
Review

Do natural experiments have an important future in the study of mental disorders?

Anita Thapar et al. Psychol Med. 2019 May.

Abstract

There is an enormous interest in identifying the causes of psychiatric disorders but there are considerable challenges in identifying which risks are genuinely causal. Traditionally risk factors have been inferred from observational designs. However, association with psychiatric outcome does not equate to causation. There are a number of threats that clinicians and researchers face in making causal inferences from traditional observational designs because adversities or exposures are not randomly allocated to individuals. Natural experiments provide an alternative strategy to randomized controlled trials as they take advantage of situations whereby links between exposure and other variables are separated by naturally occurring events or situations. In this review, we describe a growing range of different types of natural experiment and highlight that there is a greater confidence about findings where there is a convergence of findings across different designs. For example, exposure to hostile parenting is consistently found to be associated with conduct problems using different natural experiment designs providing support for this being a causal risk factor. Different genetically informative designs have repeatedly found that exposure to negative life events and being bullied are linked to later depression. However, for exposure to prenatal cigarette smoking, while findings from natural experiment designs are consistent with a causal effect on offspring lower birth weight, they do not support the hypothesis that intra-uterine cigarette smoking has a causal effect on attention-deficit/hyperactivity disorder and conduct problems and emerging findings highlight caution about inferring causal effects on bipolar disorder and schizophrenia.

Keywords: Causal; causes; environment; epidemiology; genetics; natural experiments; psychiatric disorders.

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Figures

Fig. 1.
Fig. 1.
Maternal v. paternal exposure.
Fig. 2.
Fig. 2.
In-vitro fertilisation design.
Fig. 3.
Fig. 3.
Mendelian randomization. (a) The instrument is associated with the outcome only through the exposure. (b) Limitations – if the instrument is associated with a confounder or there is a horizontal pleiotropy.
See this image and copyright information in PMC

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