Mia's Feed
Medical News & Research

Research Finds Shift Work Increases Kidney Stone Risk Through Lifestyle Factors

Research Finds Shift Work Increases Kidney Stone Risk Through Lifestyle Factors

Share this article

A groundbreaking study links shift work to a higher risk of kidney stones, showing lifestyle factors like hydration and BMI play a crucial role. Understand how occupational habits impact kidney health.

2 min read

A recent study published in the Mayo Clinic Proceedings has revealed that individuals involved in shift work face a 15% higher likelihood of developing kidney stones compared to those working regular daytime hours. The research specifically highlights that younger shift workers and those engaged in low manual labor are more susceptible. Critical lifestyle behaviors such as fluid intake, body mass index (BMI), smoking, and sleep patterns play significant roles in mediating this risk.

The study analyzed data from over 220,000 participants in the UK Biobank over a median follow-up period of nearly 14 years. It considered various aspects of shift work—including its type, frequency, and duration—and their association with kidney stone episodes. The findings suggest that irregular work hours, especially night shifts, disrupt circadian rhythms, which in turn can impair metabolic and renal processes vital for maintaining kidney health.

Experts note that shift work’s impact on circadian regulation influences water balance and solute regulation—factors crucial to kidney stone formation. This disruption may partly explain the increased risk observed among shift workers. Interestingly, the study also found that longer durations of shift work were slightly associated with a reduced risk, possibly indicating healthier worker effects or adaptation over time.

Kidney stones are a prevalent and preventable condition affecting 1% to 13% worldwide. They are linked to other serious health issues, including cardiovascular disease and chronic kidney disease. Formation of these stones is influenced by genetic and lifestyle factors like diet, physical activity, BMI, and hydration habits.

According to Dr. Felix Knauf from Mayo Clinic, the severity of kidney stone symptoms can range from silent development to intense pain requiring hospitalization. The highest risk was noted among night shift workers, highlighting the importance of addressing sleep and lifestyle habits.

Dr. Yang of Sun Yat-sen University emphasized the need for interventions targeting modifiable risk factors. Workplace health programs encouraging weight management, increased fluid intake, better sleep hygiene, smoking cessation, and reduced sedentary time could mitigate the adverse effects of shift work. Ultimately, supporting healthy lifestyles among shift workers is vital to reducing kidney stone incidence and promoting overall health.

This research underscores the importance of considering occupational factors in kidney stone prevention and advocates for more flexible work schedules to reduce health risks associated with circadian disruption.

Stay Updated with Mia's Feed

Get the latest health & wellness insights delivered straight to your inbox.

How often would you like updates?

We respect your privacy. Unsubscribe at any time.

Related Articles

FDA Ends Sales of Off-Brand GLP-1 Medications Like Ozempic

The FDA has halted the sale of off-brand GLP-1 medications like Ozempic, raising safety and access concerns for patients relying on compounded drugs for weight loss and diabetes management.

US Advises Seniors Against Getting Chikungunya Vaccine Due to Safety Concerns

US health officials advise travelers aged 60 and above to avoid the chikungunya vaccine amid ongoing safety investigations due to potential side effects in older adults.

'Switching Off' Enzyme in Immune Cells May Prevent Obesity and Metabolic Disorders

Researchers have discovered that turning off the enzyme CaMKK2 in immune cells can prevent diet-induced obesity and metabolic disorders, opening new therapeutic possibilities.

Innovative AI Tool Uncovers Hidden Disease Indicators Through Cellular Genetic Analysis

McGill University researchers have created an AI-powered tool that detects subtle disease markers within cells by analyzing gene splicing at the exon level, promising earlier diagnosis and personalized treatment options.