Related Experiment Video
Updated: Jul 23, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
The Casual Association Inference for the Chain of Falls Risk Factors-Falls-Falls Outcomes: A Mendelian Randomization
Jia-Xin Wu1,2,3, Fei-Yan Deng1,2,3, Shu-Feng Lei1,2,3,4
1Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China.
Abstract:
Previous associations have been observed not only between risk factors and falls but also between falls and their clinical outcomes based on some cross-sectional designs, but their causal associations were still largely unclear. We performed Mendelian randomization (MR), multivariate Mendelian randomization (MVMR), and mediation analyses to explore the effects of falls. Our study data are mainly based on White European individuals (40-69 years) downloaded from the UK Biobank. MR analyses showed that osteoporosis (p = 0.006), BMI (p = 0.003), sleeplessness (p < 0.001), rheumatoid arthritis (p = 0.001), waist circumference (p < 0.001), and hip circumference (p < 0.001) have causal effects on falls. In addition, for every one standard deviation increase in fall risk, the risk of fracture increased by 1.148 (p < 0.001), the risk of stroke increased by 2.908 (p = 0.003), and a 1.016-fold risk increase in epilepsy (p = 0.009). The MVMR found that sleeplessness is an important risk factor for falls. Finally, our mediation analyses estimated the mediation effects of falls on the hip circumference and fracture (p < 0.001), waist circumference and epilepsy (p < 0.001), and sleeplessness and fracture (p = 0.005). Our study inferred the causal effects between risk factors and falls, falls, and outcomes, and also constructed three causal chains from risk factors → falls → falls outcomes.
Insights
This study used Mendelian randomization to identify causal risk factors for falls, including osteoporosis, BMI, and sleeplessness. It also confirmed falls increase risks for fractures, stroke, and epilepsy.
Area of Science:
- Epidemiology
- Genetics
- Gerontology
Background:
- Previous studies noted associations between fall risk factors and outcomes but lacked causal evidence.
- Understanding the causal pathways of falls is crucial for developing effective prevention strategies.
Purpose of the Study:
- To investigate the causal relationships between various risk factors and falls.
- To determine the causal impact of falls on subsequent clinical outcomes.
- To elucidate the mediating role of falls in the development of adverse health events.
Main Methods:
- Mendelian randomization (MR) and multivariate Mendelian randomization (MVMR) analyses were employed.
- Data were sourced from UK Biobank participants of White European ancestry (40-69 years).
- Mediation analyses were conducted to explore indirect effects.
Main Results:
- Osteoporosis, BMI, sleeplessness, rheumatoid arthritis, waist, and hip circumference were identified as causal risk factors for falls.
- Increased fall risk significantly elevated the risk of fractures, stroke, and epilepsy.
- Sleeplessness emerged as a key risk factor for falls in MVMR analysis.
- Mediation analyses confirmed falls mediate the relationship between risk factors (e.g., sleeplessness, hip circumference) and outcomes (e.g., fracture, epilepsy).
Conclusions:
- This study establishes causal links between specific risk factors and falls, and between falls and subsequent adverse health outcomes.
- The findings provide a foundation for targeted interventions to reduce fall-related morbidity and mortality.
- Three causal chains (risk factors → falls → outcomes) were elucidated, offering a comprehensive understanding of fall pathophysiology.
More Related Videos
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Related Concept Videos
Causality in Epidemiology
Criteria for Causality: Bradford Hill Criteria - II
Relative Risk
Regression Toward the Mean
Criteria for Causality: Bradford Hill Criteria - I
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...