Related Experiment Video
Updated: Jan 24, 2026

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC
Published on: May 10, 2016
Self-harm in midlife: analysis using data from the Multicentre Study of Self-harm in England
Caroline Clements1, Keith Hawton2, Galit Geulayov3
1Research Associate, Centre for Mental Health and Safety, Manchester Academic Health Sciences Centre, The University of Manchester, UK.
Midlife self-harm is rising in men and linked to suicide rates, while women
Area of Science:
- Public Health
- Epidemiology
- Mental Health Research
Background:
- Suicide rates in England are highest among midlife individuals (ages 40-59).
- Self-harm in this demographic has received limited research attention despite its strong association with suicide.
- This study aims to characterize midlife individuals presenting with self-harm and identify their treatment needs.
Purpose of the Study:
- To describe the characteristics of people in midlife who present to hospital following self-harm.
- To examine treatment needs within this population.
- To analyze trends and risk factors associated with self-harm in midlife.
Main Methods:
- Utilized data from the Multicentre Study of Self-harm in England (2000-2013).
- Employed negative binomial regression for trend analysis and logistic regression for comparative analysis.
- Applied Cox proportional hazards models to assess self-harm repetition and suicide mortality.
Main Results:
- Midlife individuals accounted for 26% of self-harm presentations (n=24,599).
- Self-harm incidence increased in men, correlating with national suicide rates, while remaining stable in women.
- Men presenting with self-harm more frequently reported alcohol use, unemployment, and financial difficulties; women more often showed indicators of poor mental health.
Conclusions:
- Self-harm in midlife is a critical area for intervention.
- Addressing underlying issues such as alcohol use and economic factors is crucial for preventing further self-harm and suicide.
- Targeted interventions for midlife individuals are needed to reduce suicide risk.
Related Concept Videos
Analysis of Population Pharmacokinetic Data
Overview of Microsoft Excel as a Data Analysis Tool
Statistical Software for Data Analysis and Clinical Trials
Performing a Simple Data Analysis using MS-Excel Function
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
How Data are Classified: Numerical Data
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...

