Background <p>Sleep disorders and metabolic abnormalities are significant health concerns among older adults, and there is growing recognition of their potential relationship, co-occurrence, and underlying mechanisms. This study investigates the association between sleep disorders and metabolic syndrome (MetS) in a large sample of older adults.</p> Materials and methods <p>A total of 1347 participants were included in this analysis from a larger sample of 1420 individuals aged 60 years and older, randomly selected through cluster sampling in Birjand, Iran. The Pittsburgh Sleep Quality Index (PSQI) was utilized to assess sleep duration, pattern, and quality using seven selected questions. The diagnosis of MetS was established based on the Adult Treatment Panel III (ATP III) criteria. Univariate and multiple logistic regression models examined the association between sleep and metabolic variables.</p> Results <p>The analysis shows that among females, very good sleep quality is significantly associated with reduced odds of metabolic syndrome (OR = 0.23, 95% CI: 0.06–0.91, <i>p</i> = 0.036), while other categories of sleep quality, sleep duration, satisfaction, efficiency, and latency do not show significant associations. However, non-significant trends suggest that very good sleep satisfaction (OR = 0.33, 95% CI: 0.08–1.28, <i>p</i> = 0.111) and very good sleep efficiency (OR = 0.62, 95% CI: 0.35–1.08, <i>p</i> = 0.097) may have protective effects against metabolic syndrome in females. In males, none of the sleep components, including quality, duration, satisfaction, efficiency, or latency, demonstrate significant associations with metabolic syndrome. These findings suggest a stronger relationship between sleep quality and metabolic syndrome in females than in males, highlighting the importance of considering sex-specific factors in future research (Figure&#xa0;1).</p> Conclusion <p>Our findings suggest a strong association between poor sleep quality and MetS in older adults, particularly among women. These results underscore the importance of addressing sleep disorders as a potential strategy for preventing and managing MetS in this population.</p> Graphical Abstract <p></p>

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Gender affects the association between sleep hygiene and metabolic syndrome in older adults: a community-based longitudinal study

  • Masoumeh Sarvari,
  • Yasaman Sharifi,
  • Farshad Sharifi,
  • Arya Khezrpour,
  • Sepide Javankiani,
  • Amir Nasrollahizadeh,
  • Hoda Tavakoli,
  • Aryan Ayati,
  • Mitra Moodi,
  • Zhaleh Shadman,
  • Amirhossein Tayebi,
  • Sahar Keyvanloo Shahrestanaki,
  • Pouya Ebrahimi,
  • Farzad Pourghazi,
  • Mohammad Abdollahi,
  • Masoumeh Khorashadizadeh,
  • Moloud Payab,
  • Mahbube Ebrahimpur

摘要

Background

Sleep disorders and metabolic abnormalities are significant health concerns among older adults, and there is growing recognition of their potential relationship, co-occurrence, and underlying mechanisms. This study investigates the association between sleep disorders and metabolic syndrome (MetS) in a large sample of older adults.

Materials and methods

A total of 1347 participants were included in this analysis from a larger sample of 1420 individuals aged 60 years and older, randomly selected through cluster sampling in Birjand, Iran. The Pittsburgh Sleep Quality Index (PSQI) was utilized to assess sleep duration, pattern, and quality using seven selected questions. The diagnosis of MetS was established based on the Adult Treatment Panel III (ATP III) criteria. Univariate and multiple logistic regression models examined the association between sleep and metabolic variables.

Results

The analysis shows that among females, very good sleep quality is significantly associated with reduced odds of metabolic syndrome (OR = 0.23, 95% CI: 0.06–0.91, p = 0.036), while other categories of sleep quality, sleep duration, satisfaction, efficiency, and latency do not show significant associations. However, non-significant trends suggest that very good sleep satisfaction (OR = 0.33, 95% CI: 0.08–1.28, p = 0.111) and very good sleep efficiency (OR = 0.62, 95% CI: 0.35–1.08, p = 0.097) may have protective effects against metabolic syndrome in females. In males, none of the sleep components, including quality, duration, satisfaction, efficiency, or latency, demonstrate significant associations with metabolic syndrome. These findings suggest a stronger relationship between sleep quality and metabolic syndrome in females than in males, highlighting the importance of considering sex-specific factors in future research (Figure 1).

Conclusion

Our findings suggest a strong association between poor sleep quality and MetS in older adults, particularly among women. These results underscore the importance of addressing sleep disorders as a potential strategy for preventing and managing MetS in this population.

Graphical Abstract