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Cited by 331

The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

Suicide and self-harm

Open access
Knipe, Duleeka, Padmanathan, Prianka, Newton-Howes, Giles, Chan, Lai Fong, Kapur, Nav·2022·The Lancet

Abstract

Suicide and self-harm are major health and societal issues worldwide, but the greatest burden of both behaviours occurs in low-income and middle-income countries. Although rates of suicide are higher in male than in female individuals, self-harm is more common in female individuals. Rather than having a single cause, suicide and self-harm are the result of a complex interplay of several factors that occur throughout the life course, and vary by gender, age, ethnicity, and geography. Several clinical and public health interventions show promise, although our understanding of their effectiveness has largely originated from high-income countries. Attempting to predict suicide is unlikely to be helpful. Intervention and prevention must include both a clinical and community focus, and every health professional has a crucial part to play.

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Crossref · 10.1016/s0140-6736(22)00173-8

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Metadata

Authors
Knipe, D., Padmanathan, P., Newton-Howes, G., Chan, L. F., & Kapur, N.
Venue
The Lancet
Publisher
Elsevier BV
Published
2022-05
Volume
399
Issue
10338
Pages
1903-1916
ISSN
  • 0099-5355 (ISSN-L)
  • 0140-6736
OpenAlex
W4225320885
Cited by
331
References
123
FWCI
52.32
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Suicide and self-harm. https://app.cochat.ai/papers/10.1016/s0140-6736(22)00173-8
The paper
Knipe, D., Padmanathan, P., Newton-Howes, G., Chan, L. F., & Kapur, N. (2022). Suicide and self-harm. The Lancet. https://doi.org/10.1016/s0140-6736(22)00173-8

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.