The Interdependence of Blood Pressure and Glucose in Vietnam

Introduction Modelling of associations of systolic blood pressure (BP) and blood glucose (BG) with their explanatory factors in separate regressions treats them as having independent biological mechanisms. This can lead to statistical inferences that are unreliable because the substantial overlap in...

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Published in:High blood pressure & cardiovascular prevention Vol. 28; no. 2; pp. 141 - 150
Main Authors: Nga, Tran Thi Thu, Blizzard, Christopher Leigh, Khue, Luong Ngoc, Le Van Ngoc, Truong, Bao, Tran Quoc, Otahal, Petr, Nelson, Mark R., Magnussen, Costan G., Van Tan, Bui, Srikanth, Velandai, Thuy, Au Bich, Son, Ha Thai, Hai, Phung Ngoc, Mai, Tran Hoang, Callisaya, Michele, Gall, Seana
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01-03-2021
Springer Nature B.V
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Summary:Introduction Modelling of associations of systolic blood pressure (BP) and blood glucose (BG) with their explanatory factors in separate regressions treats them as having independent biological mechanisms. This can lead to statistical inferences that are unreliable because the substantial overlap in their etiologic and disease mechanisms is ignored. Aim This study aimed to examine the relationship of systolic blood pressure (BP) and blood glucose (BG) with measures of obesity and central fat distribution and other factors whilst taking account of the inter-dependence between them. Methods Participants (n = 14706, 53.5 % females) aged 25–64 years were selected by multi-stage stratified cluster sampling from eight provinces each representing one of the eight geographical regions of Vietnam. Measurements were made using the World Health Organization STEPS protocols. Results Structural modelling identified direct effects for BG (men P = 0.000, women P = 0.029), age (men P = 0.000, women P = 0.000) and body mass index (BMI) (men P = 0.000, women P = 0.000) in the estimation of systolic BP, and for systolic BP (men P = 0.036, women P = 0.000) and waist circumference (WC) (men P = 0.032, women P = 0.009) in the estimation of BG. There were indirect effects of age, cholesterol, physical activity and tobacco smoking via their influence on WC and BMI. The errors in estimation of systolic BP and BG were correlated (men P = 0.000, women P = 0.004), the stability indices (men 0.466, women 0.495) showed the non-recursive models were stable, and the proportion of variance explained was mid-range (men 0.553, women 0.579). Conclusion This study provided statistical evidence of a feedback loop between systolic BP and BG. BMI and WC were confirmed to be their primary explanatory factors. Saturated fat intake and physical activity were identified as possible targets of intervention for overweight and obesity, and indirectly for reducing systolic BP and BG. Harmful/hazardous alcohol intake was identified as a target of intervention for systolic BP.
ISSN:1120-9879
1179-1985
DOI:10.1007/s40292-020-00431-9