View

The Study

Association between shift work and insulin resistance in women: Implications for metabolic health

In simple terms

This study found that women who work nights or odd hours are more likely to have higher insulin resistance than those who work regular days — but it doesn’t prove that shift work causes it. It could be because of other things like diet, sleep, or stress.

44%

Analysis score

44/ 44

Maximum 44 for a cross-sectional study.

Where the score came from

Reporting0
Methodology44
Publication100
Statistical77
Study type (basis of the score)
Cross-Sectional Study
Level 4 - Case series
What’s the bottom line?

Women who work nights or irregular hours have a harder time regulating blood sugar, especially if they're older, overweight, or used to smoke.

Where does this study sit?

Reviews of RCTs (Meta-analyses)

Max 100

Randomized Trials

Max 90

Reviews of Cohort Studies

Max 85

Cohort Studies

Max 72

Reviews of Case-Control Studies

Max 63

Case-Control Studies

Max 58

Cross-Sectional & Case Series

Max 50

Expert Opinion

Max 5
StrongerWeaker
Cross-Sectional & Case Series
Level 4
44

44 / 100

Quality score

Snapshots of a population at a single point in time, or descriptions of small groups. Can identify correlations and prevalence, but cannot determine cause and effect.

Cannot establish causation

Save studies & get personalized insights

Create a free account to save this study, track new evidence as it comes in, and get breakdowns of studies in the topics you care about.

Key takeaways

Summary

Based on the study abstract and findings.

  1. 1Yes — these increases are large enough to significantly raise diabetes risk in real life, especially for vulnerable groups.
  2. 2Shift workers: 30% higher risk (OR 1.30); women 40–49: 88% higher risk (OR 1.88); overweight shift workers: 79% higher risk (OR 1.79); former smoker shift workers: 158% higher risk (OR 2.58); pink-collar shift workers: 37% higher risk (OR 1.37).

Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data

Publication

Journal

PLOS One

Year

2025

Authors

You-Jung Choi, Soo Hyeon Cho, Ja-Ho Leigh, Sung Hoon Jeong

Open Access
Analysis v5

Related Content

Claims (6)

Assertion

Working irregular hours or not sleeping well can mess up your body’s internal clock, which in turn hurts your metabolism and liver — making it harder for your body to process food and stay healthy.

Causal
Read analysis
Assertion

Korean women in their 40s who work nights or irregular shifts are almost twice as likely to have high insulin resistance — a sign their body isn’t using sugar properly — compared to those who work regular daytime hours.

Correlational
Read analysis
Assertion

Women in Korea who work non-traditional hours like nights or rotating shifts are 30% more likely to have higher insulin resistance — a sign their body isn’t using sugar properly — even when you account for their weight, diet, and income, which might mean their work schedule is hurting their metabolism.

Correlational
Read analysis
Assertion

Women who work evening or night shifts in service jobs like retail or nursing are more likely to have higher insulin resistance — a sign their body isn’t using sugar properly — than women in the same jobs who work regular daytime hours.

Correlational
Read analysis
Assertion

Korean women who are overweight and work nights or rotating shifts are much more likely to have high insulin levels than overweight women who work regular daytime hours, which might mean their bodies have a harder time managing blood sugar.

Correlational
Read analysis
Assertion

Doctors can use a simple calculation from two common blood tests — triglycerides and glucose — to tell if Korean women of working age might have insulin resistance, and if the number is above 8.35, it means they’re at higher risk.

Descriptive
Read analysis
Fit Body Science verdict — we translate health studies into clear verdicts backed by peer-reviewed research.

Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.