Association between the combined fat mass and fat-free mass index and hypertension: The Tohoku Medical Megabank Community-based Cohort Study

Takase, Masato; Nakamura, Tomohiro; Tsuchiya, Naho; Kogure, Mana; Itabashi, Fumi; Narita, Akira; Hirata, Takumi; Nakaya, Naoki; Hamanaka, Yohei; Sugawara, Junichi; Suzuki, Kichiya; Fuse, Nobuo; Uruno, Akira; Kuriyama, Shinichi; Tsuji, Ichiro; Kure, Shigeo; Hozawa, Atsushi

doi:10.1080/10641963.2021.1925681

Cited by 17 publications

(18 citation statements)

References 32 publications

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“…Contrary to our results, some investigations in adult and pediatric populations established that FFM is positively related to systolic, diastolic, or mean blood pressure (49)(50)(51)(52)(53)(54)(55). Korhonen et al (50) attribute this nding to muscle mass properties; during daytime and contraction, skeletal muscles release myokines that may increase blood pressure.…”

Section: Total Fatp and Ffmcontrasting

confidence: 99%

Body composition predicts hypertension using machine learning methods: A Cohort Study

Nematollahi

Jahangiri

Asadollahi

et al. 2022

Preprint

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Introduction: We used machine learning methods to investigate if body composition indices predict hypertension. Methods: Data from a cohort study was used, and 4663 records were included (2156 were male, 1099 with hypertension, with the age range of 35-70 years old). Body composition analysis was done using bioelectrical impedance analysis (BIA); weight, basal metabolic rate, total and regional fat percentage (FATP), and total and regional fat-free mass (FFM) were measured. We used machine learning methods such as Support Vector Classifier, Decision Tree, Stochastic Gradient Descend Classifier, Logistic Regression, Gaussian Naïve Bayes, K-Nearest Neighbor, Multi-Layer Perceptron, Random Forest, Gradient Boosting, Histogram-based Gradient Boosting, Bagging, Extra Tree, Ada Boost, Voting and Stacking to classify the investigated cases and find the most relevant features to hypertension. Results: FATP, AFFM, BMR, FFM, TRFFM, AFATP, LFATP, and older age were the top features in hypertension prediction. Arm FFM, basal metabolic rate, total FFM, Trunk FFM, leg FFM, and male gender were inversely associated with hypertension, but total FATP, arm FATP, leg FATP, older age, trunk FATP, and female gender were directly associated with hypertension. Ensemble methods such as voting and stacking had the best performance for hypertension prediction. Stacking showed an accuracy rate of 79%. Conclusion: By using machine learning methods, we found that BIA-derived body composition indices predict hypertension with an acceptable accuracy.

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Section: Total Fatp and Ffmcontrasting

confidence: 99%

Body composition predicts hypertension using machine learning methods: A Cohort Study

Nematollahi

Jahangiri

Asadollahi

et al. 2022

Preprint

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show abstract

“…Han et al [ 55 ] also suggested that body fat and skeletal muscle are strongly associated with diabetes and may be more useful indicators than BMI. Takase reported that the fat mass index calculated as the fat mass divided by the height squared was strongly associated with hypertension in a cross-sectional study of 5,058 men and 11,842 women aged ≥ 20 years in the Miyagi Prefecture, northeastern Japan [ 57 ]. With respect to BMD, Dennison et al [ 71 ] argued that the total femur and femoral neck BMD exhibited a positive association with insulin resistance, with a stronger association in women.…”

Section: Discussionmentioning

confidence: 99%

“…However, these obesityrelated indicators cannot distinguish between body fat mass and muscle mass. Some studies have shown that the total body fat percentage or trunk fat and left and right leg fat are more strongly correlated with diabetes [49][50][51][52] or hypertension [49,[53][54][55][56][57] than obesity-related indicators. These previous studies showed that having a large amount of fat in the body is not unhealthy but rather that fat has different effects on health depending on which part of the body it is located.…”

Section: Introductionmentioning

confidence: 99%

“…These previous studies showed that having a large amount of fat in the body is not unhealthy but rather that fat has different effects on health depending on which part of the body it is located. Several studies reported the importance of the total body fat mass or percentage indicating the amount of fat mass in the human body due to the association between total fat mass and cardiovascular diseases [49,50,52,[57][58][59][60]. Therefore, total body fat mass was considered to be an important risk factor for cardiovascular diseases.…”

Section: Introductionmentioning

confidence: 99%

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Risk factors for hypertension and diabetes comorbidity in a Korean population: A cross-sectional study

Hee

Lee

2022

PLoS ONE

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Background Hypertension and diabetes are risk factors for severe cardiovascular disease and are prevalent comorbidities. No studies have examined the associations of various risk factors related to anthropometry, bone mineral density and body composition of specific body regions with hypertension and diabetes comorbidity (HDC). This study explored the association between HDC and various risk factors related to specific body regions. Method A total of 7,978 subjects (3,451 men and 4,527 women) aged ≥ 50 years were included in the analysis. A binary logistic regression analysis based on complex sample data analysis was conducted to examine associations between the normal and diabetes groups, between the normal and hypertension groups, and between the normal and HDC groups. Results Among Korean adults aged ≥ 50 years, 11.27% of men and 10.05% of women had both diabetes and hypertension. The HDC prevalence was higher in men than in women. In men, waist-to-height ratio (WHtR, adjusted OR = 1.63 [1.22–2.18], adjusted p<0.001) exhibited a more significant association with HDC than other indices, left leg fat mass (adjusted OR = 0.61 [0.45–0.81], adjusted p = 0.0009) and right leg fat mass (adjusted OR = 0.60 [0.45–0.81], adjusted p = 0.0007) displayed strong negative associations with diabetes, and left leg lean mass (adjusted OR = 0.77 [0.67–0.89], adjusted p = 0.0002) and trunk fat mass (adjusted OR = 1.28 [1.07–1.52], adjusted p = 0.0062) were significantly associated with hypertension. In women, left leg fat mass (adjusted OR = 0.29 [0.22–0.39], adjusted p<0.0001) and right leg fat mass (adjusted OR = 0.32 [0.23–0.45], adjusted p<0.0001) exhibited strong negative associations with HDC, waist circumference (WC) (adjusted OR = 2.15 [1.40–3.30], adjusted p = 0.0005) showed a stronger association with diabetes than did other indices, and WC (adjusted OR = 1.39 [1.11–1.74], adjusted p = 0.0040) and WHtR (adjusted OR = 1.39 [1.09–1.76], adjusted p = 0.0075) were significantly associated with hypertension. Discussion HDC was more strongly associated with fat and lean mass than diabetes and hypertension. The association between HDC and body fat variables was more robust in women than in men.

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“…Therefore, it may be more reliable to use BFP as an indicator of obesity (21). Takase has demonstrated that it is BFP rather than BMI that affects blood pressure (22). A Korean cohort study similarly showed that increased body fat was a predictor of hypertension (23).…”

Section: Figurementioning

confidence: 99%

Association between body fat percentage and H-type hypertension in postmenopausal women

Hong

Yang

et al. 2022

Front. Public Health

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BackgroundPrevious studies have explored the relationship between body fat percentage (BFP) and hypertension or homocysteine. However, evidence on the constancy of the association remains inconclusive in postmenopausal women. The aim of this study was to investigate the association between BFP and H-type hypertension in postmenopausal women.MethodsThis cross-sectional study included 1,597 eligible female patients with hypertension. Homocysteine levels ≥10 mmol/L were defined as H-type hypertension. BFP was calculated by measuring patients' physical parameters. Subjects were divided into 4 groups according to quartiles of BFP (Q1: 33.4% or lower, Q2: 33.4–36.1%, Q3: 36.1–39.1%, Q4: >39.1%). We used restricted cubic spline regression models and logistic regression analysis to assess the relationship between BFP and H-type hypertension. Additional subgroup analysis was performed for this study.ResultsAmong 1,597 hypertensive patients, 955 (59.8%) participants had H-type hypertension. There were significant differences between the two groups in age, BMI, educational background, marital status, exercise status, drinking history, WC, TG, LDL, Scr, BUN, and eGFR (P < 0.05). The prevalence of H-type hypertension in the Q1 to Q4 groups was 24.9, 25.1, 24.9, and 25.1%, respectively. After adjusting for relevant factors, we found that the risk of H-type hypertension in the Q4 group had a significantly higher than the Q1 group (OR = 3.2, 95% CI: 1.3–7.5).ConclusionBFP was positively associated with the risk of H-type hypertension in postmenopausal women. Postmenopausal women should control body fat to prevent hypertension.

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Association between the combined fat mass and fat-free mass index and hypertension: The Tohoku Medical Megabank Community-based Cohort Study

Cited by 17 publications

References 32 publications

Body composition predicts hypertension using machine learning methods: A Cohort Study

Body composition predicts hypertension using machine learning methods: A Cohort Study

Risk factors for hypertension and diabetes comorbidity in a Korean population: A cross-sectional study

Association between body fat percentage and H-type hypertension in postmenopausal women

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