Sex Difference in the Associations among Obesity-Related Indices with Incident Hypertension in a Large Taiwanese Population Follow-Up Study

Lee, Wen-Chi; Wu, Pei‐Yu; Huang, Jiun-Chi; Tsai, Yi‐Chun; Chiu, Yi‐Wen; Chen, Szu-Chia; Chang, Jer‐Ming; Chen, Hung‐Chun

doi:10.3390/jpm12060972

Cited by 10 publications

(14 citation statements)

References 56 publications

(64 reference statements)

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“…Based on office BP, the global prevalence of hypertension was estimated to be 1.13 billion in 2015 5 . Hypertension is a major risk factor for stroke, atherosclerosis, and other cardiovascular diseases, and obesity is a major risk factor for hypertension 47 . On the other hand, patients with hypertension are also frequently overweight or obese presenting a vicious circle, in which weight gain progressively increases as a consequence of hypertension and it also further aggravates the severity of the BP.…”

Section: Discussionmentioning

confidence: 99%

“…Excessive weight gain is associated with hypertension. However, the magnitude and the direction of the association tend to differ on the level of economic development, sex, and race 47,49 . Women tend to have a higher proportion of body fat stored in subcutaneous rather than visceral adipose tissue because of the differences in body composition between men and women.…”

Section: Discussionmentioning

confidence: 99%

“…However, the magnitude and the direction of the association tend to differ on the level of economic development, sex, and race. 47 , 49 Women tend to have a higher proportion of body fat stored in subcutaneous rather than visceral adipose tissue because of the differences in body composition between men and women. At the same BMI, women will tend to have a considerably higher percentage of body fat than men, 50 that may explain why the sex subtype has different outcomes.…”

Section: Discussionmentioning

confidence: 99%

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Effect of weight loss on blood pressure changes in overweight patients: A systematic review and meta‐analysis

Yang

Zhou

Miao

et al. 2023

J of Clinical Hypertension

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To determine quantitative differences between weight loss and changes in clinic blood pressure (BP) and ambulatory BP in patients with obesity or overweight, the authors performed a meta‐analysis. PubMed, Embase, and Scopus databases were searched up to June 2022. Studies that compared clinic or ambulatory BP with weight loss were included. A random effect model was applied to pool the differences between clinic BP and ambulatory BP. Thirty‐five studies, for a total of 3219 patients were included in this meta‐analysis. The clinic systolic blood pressure (SBP) and diastolic blood pressure (DBP) were significantly reduced by 5.79 mmHg (95% CI, 3.54–8.05) and 3.36 mmHg (95% CI, 1.93–4.75) after a mean body mass index (BMI) reduction of 2.27 kg/m2, and the SBP and DBP were significantly reduced by 6.65 mmHg (95% CI, 5.16–8.14) and 3.63 mmHg (95% CI, 2.03–5.24) after a mean BMI reduction of 4.12 kg/m2. The BP reductions were much larger in patients with a BMI decrease ≥3 kg/m2 than in patients with less BMI decrease, both for clinic SBP [8.54 mmHg (95% CI, 4.62–12.47)] versus [3.83 mmHg (95% CI, 1.22–6.45)] and clinic DBP [3.45 mmHg (95% CI, 1.59–5.30)] versus [3.15 mmHg (95% CI, 1.21–5.10)]. The significant reduction of the clinic and ambulatory BP followed the weight loss, and this phenomenon could be more notable after medical intervention and a larger weight loss.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Effect of weight loss on blood pressure changes in overweight patients: A systematic review and meta‐analysis

Yang

Zhou

Miao

et al. 2023

J of Clinical Hypertension

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“…Obesity can be evaluated using a variety of indices, including body mass index (BMI) [17], waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), lipid accumulation product (LAP), body roundness index (BRI) [18], conicity index (CI) [19], visceral adiposity index (VAI) [20], body adiposity index (BAI) [21], abdominal volume index (AVI) [22], and body shape index (ABSI) [23]. Quantifying obesity using these indices can help to evaluate their relationships with other health problems, and we previously identified associations between these obesity indices with fatty liver [24], albuminuria, advanced kidney disease [25], lung function [26], osteoporosis [27], hypertension [28], peripheral artery disease [29], and dementia [30].…”

Section: Introductionmentioning

confidence: 99%

Sex Difference in the Associations among Obesity-Related Indices with Hyperuricemia in a Large Taiwanese Population Study

Lin

Liu

et al. 2023

Nutrients

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Hyperuricemia has been linked with the development of diabetes, gout, kidney, and cardiovascular diseases. Although obesity is associated with hyperuricemia, data on sex differences in this association are scarce. Therefore, this study was conducted to explore sex differences in the correlations among various indices of obesity with hyperuricemia in Taiwan. Data were obtained from the Taiwan Biobank and included 122,067 participants. After excluding 179 participants with missing data, the remaining 121,888 participants (men: 43,790; women: 78,098) were enrolled. The prevalence rates of hyperuricemia (defined as serum uric acid >7.0/6.0 mg/dL in men/women) were 29.8% and 13.6%, respectively (p < 0.001). Multivariable analysis revealed high values of body shape index (ABSI), waist-to-height ratio (WHtR), waist–hip ratio (WHR), lipid accumulation product (LAP), conicity index (CI), visceral adiposity index (VAI), body adiposity index (BAI), abdominal volume index (AVI), body mass index (BMI), and body roundness index (BRI) were significantly associated with hyperuricemia in both the male and female participants (all p < 0.001). The interactions between sex and all 10 of these indices were significant (all p < 0.001) for hyperuricemia. In men, LAP had the highest area under the curve (0.669), followed by BMI (0.655), VAI (0.645), AVI (0.642), BRI (0.640), WHtR (0.633), BAI (0.605), WHR (0.599), CI (0.574), and ABSI (0.510). In women, LAP also had the highest area under the curve (0.754), followed by BMI (0.728), VAI (0.724), WHtR (0.721), BRI (0.720), AVI (0.713), WHR (0.676), BAI (0.673), CI (0.626), and ABSI (0.544). In conclusion, obesity-related indices were associated with hyperuricemia in this large Taiwanese study, and sex differences were found in these associations, with stronger associations in women than in men.

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“…Prior studies revealed that these obesity-related indices are predictors of hypertension [ 11 , 12 , 13 ]. Our recent research revealed that these obesity indices were associated with fatty liver [ 14 ], albuminuria, advanced kidney disease [ 15 ], lung function [ 16 ], osteoporosis [ 17 ], hypertension [ 18 ], peripheral artery disease [ 19 ], and dementia [ 20 ]. Moreover, although both overweight and underweight have been associated with osteoporosis [ 21 ], few studies have explored the relationship between osteoporosis and indices related to obesity.…”

Section: Introductionmentioning

confidence: 99%

Low Obesity-Related Indices Are Associated with a Low Baseline Calcaneus Ultrasound T-Score, and a Rapid Decline in T-Score in a Large Taiwanese Population Follow-Up Study

et al. 2023

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Osteoporosis results in reduced bone strength and an elevated risk of fractures. Both overweight and underweight have been associated with osteoporosis; however, few studies have examined associations between osteoporosis and indices related to obesity. Therefore, the aim of this study was to investigate the associations of obesity-related indices, including body mass index (BMI), waist–hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), body adiposity index (BAI), abdominal volume index (AVI), lipid accumulation product (LAP), and visceral adiposity index (VAI), with baseline and change in calcaneus ultrasound T-score between baseline and follow-up (ΔT-score). T-score was measured using ultrasound. A total of 26,983 subjects were enrolled (mean age 51.2 ± 10.4 years). Multivariable analysis showed significant associations between low BMI (per 1 kg/m2; β, 0.065), WHR (per 1%; β, 0.012), WHtR (per 1%; β, 0.024), BRI (per 1; β, 0.079), BAI (per 1; β, 0.032), AVI (per 1; β, 0.049), and LAP (per 1; β, 0.005) with low baseline T-scores (all p < 0.001). Furthermore, there were significant associations between low BMI (per 1 kg/m2; β, 0.005; p = 0.036), BAI (per 1; β, 0.010; p < 0.001), and VAI (per 1; β, 0.017; p = 0.002) with low ΔT-scores. A low baseline T-score was significantly associated with low values of LAP, AVI, BAI, BMI, BRI, WHR, and WHtR but not VAI. In addition, low BMI, BAI, and VAI were significantly associated with low ΔT-scores, representing a rapidly decreasing T-score. Consequently, avoiding being underweight may help prevent osteoporosis in the Taiwanese population.

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Sex Difference in the Associations among Obesity-Related Indices with Incident Hypertension in a Large Taiwanese Population Follow-Up Study

Cited by 10 publications

References 56 publications

Effect of weight loss on blood pressure changes in overweight patients: A systematic review and meta‐analysis

Effect of weight loss on blood pressure changes in overweight patients: A systematic review and meta‐analysis

Sex Difference in the Associations among Obesity-Related Indices with Hyperuricemia in a Large Taiwanese Population Study

Low Obesity-Related Indices Are Associated with a Low Baseline Calcaneus Ultrasound T-Score, and a Rapid Decline in T-Score in a Large Taiwanese Population Follow-Up Study

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