Key result
Clustering of 3 to 5 metabolic risk factors was significantly associated with left ventricular diastolic dysfunction in Tibetans living at high altitude (OR 2.9; 95% CI 1.9-4.43; P<0.001 for trend).
Why the study?
Data regarding metabolic risk factor clustering on the risk of left ventricular diastolic dysfunction are lacking among people living at high altitude and under hypoxic conditions.
Is metabolic risk factor clustering associated with left ventricular diastolic dysfunction in populations living at high altitude?
Cross-Sectional (n=1,963)
Is metabolic risk factor clustering associated with left ventricular diastolic dysfunction in populations living at high altitude?
Odds Ratio: 2.9 (95% CI 1.9–4.43)
p-value: p=<0.001
Metabolic risk factor clustering, particularly abdominal obesity, hypertension, and elevated blood glucose, is significantly associated with left ventricular diastolic dysfunction in high-altitude populations.
Metabolic clustering may associate with LVDD at high altitude; hypothesis-generating and leaves open any practice implications.
Background Data regarding the metabolic risk factors clustering on the risk of left ventricular diastolic dysfunction ( LVDD ) are lacking among people living at high altitude and under hypoxic conditions. In this study, we explored the association between metabolic risk factor clustering and LVDD among the Tibetan population of China. Methods and Results We conducted a cross-sectional survey in a representative sample of 1963 Tibetans in 2014 to 2016. Grading LVDD was based on recommendations for the evaluation of LV diastolic function by echocardiography (2009). The prevalence of LVDD among 1963 participants (mean age: 51.51 years, 41.11% male) was 34.39%. Odds ratios (95% CI ) of LVDD for the 1, 2, and 3 to 5 risk factors clustering were 1.45 (0.96-2.17), 2.68 (1.8-3.98), and 2.9 (1.9-4.43), respectively ( P for trend <0.001). The association between metabolic risk factors clustering and LVDD was much more pronounced in the middle-aged group than in the elderly ( P for interaction=0.0170). High altitude was one of the major independent risk factors for LVDD ; however, habitation altitude had no significant effect on the association between metabolic risk factors and LVDD ( P for interaction=0.1022). The multivariable dominance analysis indicated that abdominal obesity, hypertension, and elevated blood glucose were the significant contributors to LVDD . Conclusions There was a significant positive association between the metabolic risk factor clustering number and LVDD among a population living at high altitude, especially in middle-aged adults. However, habitation altitude itself has no significant effect on the association between metabolic risk factors and LVDD .
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Zheng et al. (2019) conducted a cross-sectional in Left ventricular diastolic dysfunction (n=1,963). Metabolic risk factor clustering (3 to 5 risk factors) vs. 0 risk factors was evaluated on Left ventricular diastolic dysfunction (LVDD) (OR 2.9, 95% CI 1.9-4.43, p=<0.001). Clustering of 3 to 5 metabolic risk factors was significantly associated with left ventricular diastolic dysfunction in Tibetans living at high altitude (OR 2.9; 95% CI 1.9-4.43; P<0.001 for trend).