Sleep

Joint Association of Hydration Status and Sleep Quality with Type 2 Diabetes Mellitus in a Population-Based Study.

TL;DR

The combination of dehydration and poor sleep quality was associated with substantially higher odds of prevalent type 2 diabetes mellitus (adjusted OR 9.92) than either condition alone, with statistically significant additive and multiplicative interactions observed in a population-based cross-sectional study.

Key Findings

The prevalence of type 2 diabetes mellitus in the study population was 8.13%.

  • 387 out of 4762 participants had prevalent T2DM.
  • The study drew from the baseline Hainan Prospective Cohort Study.
  • Total sample size was 4762 participants.
  • This was a cross-sectional design at baseline.

The combination of dehydration and poor sleep quality was associated with substantially higher odds of prevalent T2DM compared to non-dehydration and good sleep quality.

  • Adjusted OR was 9.92 (95% CI: 7.14 to 14.00) for the combined dehydration and poor sleep quality group versus the non-dehydration and good sleep quality reference group.
  • Logistic regression was used to estimate odds ratios and 95% confidence intervals for all four combinations of hydration status and sleep quality.
  • Models were adjusted for relevant covariates in the multivariable logistic regression.
  • The predicted probability of prevalent T2DM was highest in the combined dehydration and poor sleep group.

A statistically significant additive interaction between dehydration and poor sleep quality was observed on the odds-ratio scale.

  • Relative excess risk due to interaction (RERI) was 7.74 (95% CI: 4.99 to 10.50).
  • Attributable proportion (AP) was 78.04% (95% CI: 69.28 to 86.80), indicating that approximately 78% of the odds of T2DM in the combined exposure group was attributable to the interaction.
  • Synergy index (S) was 7.57 (95% CI: 3.49 to 16.42).
  • All three additive interaction measures were statistically significant.

A statistically significant multiplicative interaction between dehydration and poor sleep quality was also observed.

  • Multiplicative interaction OR was 3.96 (95% CI: 2.30 to 6.90).
  • Multiplicative interaction was assessed using a product term in the logistic regression model.
  • Both additive and multiplicative interactions were statistically significant.

Absolute risk-scale measures confirmed the interaction between dehydration and poor sleep quality on T2DM risk.

  • The interaction contrast on the absolute risk scale was 14.53 percentage points (95% CI: 11.01 to 18.34).
  • The attributable proportion on the risk-difference scale was 80.5% (95% CI: 66.3 to 94.6).
  • The synergy index on the absolute risk scale was 5.14 (95% CI: 2.94 to 17.25).
  • Predicted probabilities were estimated by g-computation.
  • These risk-difference-scale measures were used to confirm the interaction because additive interaction measures derived from odds ratios may overestimate absolute magnitude for non-rare outcomes.

The authors note important methodological limitations regarding the interpretation of additive interaction measures and causal inference.

  • Because T2DM prevalence was 8.13% (not a rare outcome), additive interaction measures derived from odds ratios 'may be overestimated on the odds-ratio scale.'
  • The cross-sectional design means 'reverse causation cannot be excluded,' as individuals with T2DM may alter their hydration or sleep behaviors.
  • The authors state that 'longitudinal data are needed to clarify the temporal sequence of these associations.'
  • Risk-difference-scale measures from g-computation were used to address the non-rare outcome limitation.

What This Means

This research examined whether poor hydration and poor sleep quality together are more strongly linked to type 2 diabetes than either factor alone, using data from nearly 5,000 adults in the Hainan Prospective Cohort Study in China. About 8% of participants had type 2 diabetes. The researchers found that people who were both dehydrated and had poor sleep quality had nearly 10 times the odds of having type 2 diabetes compared to people who were well-hydrated and slept well. Critically, the combined effect was much larger than what would be expected by simply adding together the individual effects of dehydration and poor sleep, suggesting the two factors interact synergistically — meaning they amplify each other's impact on diabetes risk. The study used multiple statistical methods to quantify this interaction, and all approaches — including one designed specifically to handle the fact that diabetes was relatively common in this population — confirmed a significant interaction effect. Roughly 78–80% of the excess diabetes risk seen in the combined dehydration-plus-poor-sleep group was estimated to be attributable to this synergistic interaction, rather than to either factor acting independently. This research suggests that dehydration and poor sleep quality may jointly contribute to type 2 diabetes risk in ways that go beyond their individual effects. However, because this was a cross-sectional study (meaning data were collected at a single point in time), it is not possible to determine whether dehydration and poor sleep caused diabetes or whether having diabetes changed people's hydration and sleep habits. The authors emphasize that follow-up studies tracking people over time are needed to establish the direction of these relationships before firm conclusions about causality can be drawn.

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Citation

Han M, Zhang Y, Zhang N, Zhao C, He L, Guo J, et al.. (2026). Joint Association of Hydration Status and Sleep Quality with Type 2 Diabetes Mellitus in a Population-Based Study.. Nutrients. https://doi.org/10.3390/nu18172929