Presence and Progression of Abdominal Obesity Are Predictors of Future High Blood Pressure and Hypertension

Chuang, Shao Yuan; Chou, Pesus; Hsu, Powen; Cheng, Hao Min; Tsai, Shih-Tzer; Lin, I-Hsin

doi:10.1016/j.amjhyper.2006.01.010

Cited by 72 publications

(59 citation statements)

References 25 publications

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“…In this study, we found that waist gain is associated with most MetS parameters, mainly with high levels of TGs and reduced levels of HDL-C and increased BP, as markedly observed in the literature (Carr et al, 2004;Grievink et al, 2004;Chuang et al, 2006;Menke et al, 2007;Hirani et al, 2008). On the other hand, in this study, entering FBS as a variable into analysis did not show any significant relationship with waist gain in both genders, as observed in some studies (Palaniappan et al, 2004;Stolk et al, 2005), possibly indicating a lower interference of waist gain in increases in FBS; however, some other studies showed inconsistent results (Nyamdorj et al, 2009;Sone et al, 2009).…”

supporting

confidence: 61%

Effect of changes in waist circumference on metabolic syndrome over a 6.6-year follow-up in Tehran

et al. 2010

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Background/Objectives: This cohort study was conducted to evaluate the effect of waist change on metabolic syndrome (MetS) status and its parameters in 5720 participants, aged X20 years, of the Tehran Lipid and Glucose Study who were followed up for a mean of 6.6 years. Subjects/Methods: We measured waist circumference (WC) and MetS parameters at baseline (phase I: 1999) and at follow-up (phase III: 2008), and assessed this relationship across five groups: waist loss (oÀ2.0 cm); waist stable (À2.0 to 2.9 cm); mild (3.0-5.9 cm); moderate (6.0-8.9 cm) and large (X9.0 cm) waist gain. MetS was defined according to the International Diabetes Federation criteria. Results: In phase I, the mean (s.d.) waist gain was 88.8 cm (11.7). Between phases I and III, the mean (s.d.) waist gain was 5 cm (7.9). There was 16% (95% confidence interval (95% CI): 13.6-18.4) age-adjusted incident MetS and for every centimeter of WC gained over 6.6 years, the risk of MetS increased by 10% (odds ratio (OR) 1.10; 95% CI: 1.09-1.12). Compared with a stable WC in both genders, ORs for MetS for different waist gain groups were as follows: mild (OR 2.3, 95% CI: 1.7-3.2); moderate (OR 3.5, 95% CI: 2.6-4.7) and large (OR 5.8, 95% CI: 4.5-7.6). Waist loss had a protective effect on MetS (OR 0.6, 95% CI: 0.4-0.9). Waist gain showed a detrimental effect on all parameters of MetS in both genders, except for high-density lipoprotein cholesterol and fasting blood sugar in women. Conclusions: Waist gain, even mild, was a risk factor of the development of MetS and its parameters. Intervention for reducing WC could be an effective strategy to decrease incident MetS.

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confidence: 61%

Effect of changes in waist circumference on metabolic syndrome over a 6.6-year follow-up in Tehran

et al. 2010

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“…Further, an increase in physical activity had beneficial effects in our study. The only other report that we have found on the effects of waist circumference change on cardiometabolic risk factors is a 10-year study of Chinese adults (13). Both waist and BMI change, together, were related to change in systolic blood pressure and hypertension.…”

Section: Research Design and Methods -From The Data From An Epidemiolmentioning

confidence: 94%

“…In cross-sectional studies, both are related with risk factors for these diseases (9 -12), but there are few publications on the effects of changes in abdominal adiposity (13). We characterized men and women who gained and lost abdominal adiposity over 9 years and describe the incidence and the improvement in cardiometabolic risk factors according to changes in waist circumference.…”

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confidence: 99%

Consequences of Change in Waist Circumference on Cardiometabolic Risk Factors Over 9 Years

et al. 2007

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O besity and abdominal adiposity have been shown in prospective studies to be risk factors for cardiovascular disease and particularly for diabetes (1-8). In cross-sectional studies, both are related with risk factors for these diseases (9 -12), but there are few publications on the effects of changes in abdominal adiposity (13). We characterized men and women who gained and lost abdominal adiposity over 9 years and describe the incidence and the improvement in cardiometabolic risk factors according to changes in waist circumference. RESEARCH DESIGN AND METHODS -From the Data from anEpidemiological Study on the Insulin Resistance Syndrome (DESIR) cohort (9,14,15), 1,868 men and 1,939 women aged 30 -64 years at baseline were followed over 9 years. The 73% of the baseline cohort that we studied were older, less frequently abdominally obese, hypertriglyceridemic, hyperinsulinemic, smokers, and fewer had metabolic syndrome. Cardiometabolic abnormalities and the metabolic syndrome were defined according to the National Cholesterol Education Program (NCEP) criteria (16), except high blood pressure, which included antihypertensive treatment (Table 1); hyperinsulinemia was defined by upper quartiles of fasting insulin Ն57.3 pmol/l for men and Ն52.8 pmol/l. The incidence and improvement of cardiometabolic risk factors were studied by age-adjusted logistic regression, according to waist change: Յ Ϫ3.0 cm, Ϫ2.9 to ϩ2.9 cm, 3.0 -6.9 cm, and Ն7.0 cm. Statistical significance was defined as P Ͻ 0.05.RESULTS -The median increase in waist circumference was 3 cm in men and 4 cm in women; 25 and 34% of men and women, respectively, increased their waist by Ն7 cm, 14% decreased their waist by Ն3 cm, and 29% remained stable (Ϯ2.9 cm).Men whose waist decreased were older and had a larger waist circumference and BMI at baseline. Age was not significantly related to waist change in women; however, women who became slimmer had a larger baseline waist but similar BMI. Men who decreased alcohol intake reduced their waist circumference. Stopping smoking was associated with an increase in waist circumference, but smoking at baseline was associated with a gain in waist circumference in only men. Baseline physical activity did not influence waist change, but an increase was associated with a decreasing waist circumference.The incidence of abdominal obesity was 10% in men and 15% in women (Table 1). Of all risk factors, high blood pressure had the highest incidence (48 and 30%, respectively), and the incidences of the metabolic syndrome were 8% for men and 7% for women. The metabolic syndrome and all cardiometabolic factors showed significant trends that became worse with an increasing waist (with one exception, LDL cholesterol in women). The odds ratios (95% CI) for an incident metabolic syndrome were 7.9 (4.4 -13.9) in men and 4.7 (2.7-8.0) in women who increased their waist by Ն7 cm, compared with a stable waist circumference. Results were not changed after adjusting for baseline waist circumference or BMI. Adjusting for 9-year BMI change, ...

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“…CTRP1 may represent one of the serum factors produced by adipose tissue that share overlapping functions with adiponectin [5]. Hypertension frequently coexists with metabolic disturbances including glucose intolerance, insulin resistance, abdominal obesity, and dyslipidemia and is defined as one of the components of metabolic syndrome [6].…”

Section: Introductionmentioning

confidence: 99%

CTRP1: A Molecular Link between Obesity and Hypertension

Chalupová¹,

Halupova²

2016

J Mol Biomark Diagn

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Presence and Progression of Abdominal Obesity Are Predictors of Future High Blood Pressure and Hypertension

Abstract: Abdominal obesity and its progression are predictors of future BP and hypertension incidence, independent of the effects of general obesity.

Cited by 72 publications

References 25 publications

Effect of changes in waist circumference on metabolic syndrome over a 6.6-year follow-up in Tehran

Effect of changes in waist circumference on metabolic syndrome over a 6.6-year follow-up in Tehran

Consequences of Change in Waist Circumference on Cardiometabolic Risk Factors Over 9 Years

CTRP1: A Molecular Link between Obesity and Hypertension

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