Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Interactive Journal of Medical Research

Date Submitted: Feb 6, 2025
Open Peer Review Period: Feb 6, 2025 - Apr 3, 2025
Date Accepted: Oct 1, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Association of Modifiable Lifestyle and Metabolic Factors With the Risk of Developing Sepsis: 2-Sample Mendelian Randomized Study

Lv H, Liu J, Cao Y, Fan W, Shen G, Wang F, Ye Q, Wu X, Xu K

Association of Modifiable Lifestyle and Metabolic Factors With the Risk of Developing Sepsis: 2-Sample Mendelian Randomized Study

Interact J Med Res 2025;14:e72244

DOI: 10.2196/72244

PMID: 41183351

PMCID: 12582546

Association of Modifiable Lifestyle and Metabolic Factors with the Risk of Developing Sepsis: Two-Sample Mendelian Randomized Study

  • Haifeng Lv; 
  • Jing Liu; 
  • Yelin Cao; 
  • Weina Fan; 
  • Guojie Shen; 
  • Feifei Wang; 
  • Qingqing Ye; 
  • Xiaoliang Wu; 
  • Kaijin Xu

ABSTRACT

Background:

Sepsis is a life-threatening condition characterized by organ dysfunction resulting from a dysregulated host response to infections. Approximately 48.9 million people worldwide are diagnosed with sepsis annually, leading to 11 million deaths and representing 19.7% of all global deaths. No specific effective treatments are available for sepsis, which has a poor prognosis.

Objective:

We aimed to systematically explore the relationship between genetically predicted modifiable risk factors and sepsis.

Methods:

Univariable two-sample Mendelian randomization (MR) analysis was performed to explore the relationship between 30 modifiable risk factors (12 lifestyle, 3 educational and psychological, and 15 metabolic factors) and sepsis. Heterogeneity was evaluated using Cochran's Q analysis. Sensitivity analyses were conducted using the MR-Egger regression intercept tests and leave-one-out analyses. Additionally, multivariable MR analyses were performed to adjust for genetic associations between the instruments and obesity.

Results:

Genetically predicted smoking (odds ratio, OR, 1.20; 95% confidence interval, CI, 1.06–1.36), higher number of cigarettes smoked daily (OR, 1.70; 95% CI, 1.29–2.23), higher overall health rating (OR, 2.19; 95% CI, 1.61–2.98), body mass index (OR, 1.50; 95% CI, 1.38–1.63), waist circumference (OR, 1.70; 95% CI, 1.53–1.89), whole body fat mass (OR, 1.50; 95% CI, 1.37–1.64), trunk fat mass (OR, 1.48; 95% CI, 1.36–1.62), arm fat mass (OR, 1.57; 95 %CI, 1.43–1.71), and leg fat mass (OR, 1.69; 95 % CI, 1.51–1.90) were associated with increased sepsis risk (all with P < 0.05). However, light physical activity (OR, 0.26; 95% CI, 0.08–0.83), higher education attainment (OR, 0.52; 95% CI, 0.40–0.67) and high-density lipoprotein-cholesterol (OR, 0.91; 95% CI, 0.84–0.98) exhibited a protective effect against sepsis (all with P < 0.05). In multivariate analysis of obesity traits, the waist circumference (OR = 2.16, 95% CI = 1.18–3.96, P = 0.01) was an independent risk factor of sepsis.

Conclusions:

Genetic predictors of smoking initiation, smoking frequency, and waist circumference were associated with an increased risk of sepsis. By contrast, higher education, light physical activity, and high-density lipoprotein-cholesterol levels were associated with a reduced risk of sepsis. Our results can serve as a guide for reducing the risk of sepsis.


 Citation

Please cite as:

Lv H, Liu J, Cao Y, Fan W, Shen G, Wang F, Ye Q, Wu X, Xu K

Association of Modifiable Lifestyle and Metabolic Factors With the Risk of Developing Sepsis: 2-Sample Mendelian Randomized Study

Interact J Med Res 2025;14:e72244

DOI: 10.2196/72244

PMID: 41183351

PMCID: 12582546

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.