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Metabolic obesity phenotypes and all-cause mortality among the Chinese oldest-old population: a prospective cohort study

  • Wei-Qi Song,
  • Wen-Fang Zhong,
  • Jian Gao,
  • Zhi-Hao Li,
  • Jiao-Jiao Ren,
  • Dong Shen,
  • Xiao-Meng Wang,
  • Qiao-Qiao Shen,
  • Fang-Fei You,
  • Qi Fu,
  • Chuan Li,
  • Huan Chen,
  • Yue-Bin Lv,
  • Xiao-Ming Shi,
  • Chen Mao

摘要

Background

The obesity paradox has been reported among older adults. However, whether the favorable effect of obesity is dependent on metabolic status remains largely unknown. We aimed to explore the association of metabolic obesity phenotypes and their changes with all-cause mortality among the Chinese oldest-old population.

Methods

This prospective cohort study included 1207 Chinese oldest old (mean age: 91.8 years). Metabolic obesity phenotypes were determined by central obesity and metabolic status, and participants were classified into metabolically healthy obesity (MHO), metabolically unhealthy obesity (MUO), metabolically healthy non-obesity (MHN), and metabolically unhealthy non-obesity (MUN). The hazard ratios (HRs) and 95% confidence intervals (95% CIs) were estimated by Cox regression models.

Results

During 5.3 years of follow-up, 640 deaths were documented. Compared with non-obesity, obesity was associated with a decreased mortality risk among participants with metabolically healthy (HR, 0.75; 95% CI, 0.63–0.91) while this association was insignificant among metabolically unhealthy. Compared to MHO, MHN (HR, 1.27; 95% CI, 1.06–1.53) and MUN (HR, 1.49; 95% CI, 1.10–2.02) were significantly associated with an increased mortality risk. Compared to those with stable MHO, those transited from MHO to MUO demonstrated a higher mortality risk (HR, 1.81; 95% CI, 1.06–3.11).

Conclusions

MHO predicts better survival among the Chinese oldest-old population. These findings suggest that ensuring optimal management of metabolic health is beneficial and taking caution in weight loss based on the individual body weight for the metabolically healthy oldest-old adults.