Association between body composition and blood pressure in normal-weight Chinese children and adolescents

Bai, Ling; Zhou, Jian; Tong, Lingling; Ding, Wenqing

doi:10.1186/s12887-022-03289-z

Cited by 7 publications

(8 citation statements)

References 39 publications

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“…These results are in congruence with those reported by Clasey et al 7 , who reported a large proportion of children with high percent of FM (determined by BIA) among healthy weight children (defined by a BMI percentile > 5th, < 85th), particularly among boys (56/289, 19.4%), questioning the “low-risk” connotation attributed to a body weight in normal range. This is supported by the study conducted by Bai et al in Chinese children, where it was observed a positive association between percent of FM and abnormal blood pressure in normal-weight children 6 .…”

Section: Discussionsupporting

confidence: 72%

“…A large analysis of data from European children and adolescent reveled that the prevalence of primary hypertension ranged from 5% in normal weight children up to 39% in children with severe obesity 5 . However, recent data suggest that excess fat mass (FM) may have a delirious impact on blood pressure levels even in normal-weight children 6 , pointing out the challenge of health risk stratification based on BMI classification in children 7 , since it does not allow to distinguish between different body compartments.…”

Section: Introductionmentioning

confidence: 99%

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Association between BMI z-score and body composition indexes with blood pressure and grip strength in school-age children: a cross-sectional study

Miranda-Alatriste,

Colin-Ramirez,

Inda Icaza

et al. 2024

Sci Rep

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Childhood obesity is linked to diverse health outcomes, including elevated blood pressure (EBP). Emerging evidence showed that excess fat mass (FM) may have a deleterious impact on blood pressure even in normal-weight children. The primary objective of this study was to assess the association between body weight status by BMI z-score and body composition parameters by conventional bioelectrical impedance analysis (BIA) and bioelectrical impedance vector analysis (BIVA). Also, we aimed to explore the performance of BMI z-score, %FM, and FM index (FMI) in discriminating EBP in a sample of school-age Mexican children. Children were classified as having normal weight, overweight or obesity according to WHO criteria for BMI z-score. FMI was considered high when above 75th percentile, and fat free mass index (FFMI) was considered low when below 25th percentile of the reference population. Body composition was also classified according to the BIVA method and EBP was determined when systolic and/or diastolic blood pressure ≥ 90th percentile. BMI z-score groups were compared by Student´s t-test or the Mann–Whitney U test, or by the chi-square test or Fisher exact test. Receiving operating characteristic (ROC) analysis was performed. 61 children were included (52.5% boys, median age 9.8 (25th, 75th percentiles: 8.5, 11.0)) years. High FMI was observed in 32.3% of children with normal weight. Low FFMI was present in 93.5% of children with normal weight and 53.3% of those with overweight/obesity. According to BIVA, 58.1% and 43.3% of children with normal weight and overweight/obesity were classified as having cachexia. All the three adiposity indicators showed significant areas under the ROC curve (AURC) greater than 0.775 for EBP, with the largest one displayed for FM% (0.794). Hight FMI and low FFMI are common in children with normal weight. Identifying deficiency of FFM might be limited by using solely BMI indicators. Cachexia by BIVA was present in a high proportion of children with either normal weight or overweight/obesity. Both BMI z-score and FM (% and FMI) performed well at discriminating EBP, with a numerically greater AURC observed for FM%. Body composition in pediatric population is relevant for identifying body composition abnormalities at early age.

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Section: Discussionsupporting

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Association between BMI z-score and body composition indexes with blood pressure and grip strength in school-age children: a cross-sectional study

Miranda-Alatriste,

Colin-Ramirez,

Inda Icaza

et al. 2024

Sci Rep

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“…36 Additionally, data on BMI (19.2 ± 2.0 kg/m 2 ) and BFP (25.6%; 25th percentile: 21.4, 75th percentile: 29.5) were reported in a survey of body composition in 898 general Chinese adolescents ages of 12 and 18 years (average age: 15.1 ± 2.1). 37 Our study showed that although there might be little a slight difference in BMI (19.4 ± 2.2 kg/m 2 ) between elite dancers and general adolescents in China, there may be a higher difference in BFP (22.6 ± 3.0%). Chinese elite adolescent dancers may have lower BFP than typical Chinese adolescents.…”

Section: Discussionmentioning

confidence: 49%

Low Body Fat Percentage and Menstrual Cycle Disorders in Female Elite Adolescent Dancers

Liu,

Gong,

Nagamoto

et al. 2024

Journal of Dance Medicine & Science

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Introduction: The menstrual cycle is an important indicator of health in female athletes. Female elite adolescent dancers are expected to control their weight while also training intensely, which can lead to menstrual disorders. This study aimed to investigate the relationship between body composition and menstrual status in female elite adolescent dancers. Methods: In total, 131 female elite adolescent dancers (age: 15.9 ± 1.5 years) were enrolled in this study. We measured the height, weight, and body fat percentage (BFP) for each participant and calculated their body mass index (BMI). We gathered information on individual menstruation patterns and the participants’ menstrual cycles over the previous year using recall methods. We then compared the differences between dancers with menstrual cycle disorders and those without. Primary amenorrhea was defined as menarche occurring after the age of 15, while secondary amenorrhe was defined as experiencing fewer than 5 or no menstrual periods for at least 3 of the previous 12 months. We conducted a reliability test using the same questionnaire 2 weeks later. Statistical significance was defined as P < .05, and we calculated the effect sizes (d) and 95% confidence intervals (95% CI). Results: The average BMI and BFP were 22.6 ± 3.0% and 19.4 ± 2.2 kg/m2, respectively. Low BFP and low BMI were observed in 51 (38.6%) and 47 (35.6%) participants, respectively. Primary amenorrhea in 3 participants (2.3%) and 29 (22.1%) reported experiencing secondary amenorrhea; they had lower BFP than the dancers who did not experience amenorrhea ( P = .041, 95% CI, −2.51 to −0.05). Conclusion: Female elite adolescent dancers in China may have lower BFP and menstrual problems. Given that lower BFP may contribute to the occurrence of menstruation disorders, it is essential to pay an attention to both BFP and the menstruation status in female elite adolescent dancers.

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“…19 However, a sex difference was found in a study of normal-weight Chinese children and adolescents, revealing the positive association between LBM and abnormal blood pressure, only found in normal-weight boys and not in girls. 20 The Helsinki Birth…”

Section: F I G U R E 2 Association Between Lean Body Mass and Hyperte...mentioning

confidence: 99%

Association between lean body mass and hypertension: A cross‐sectional study of 50 159 NHANES participants

Li,

Jiao,

Yang

et al. 2023

J of Clinical Hypertension

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Increasing attention has been paid to the association between lean body mass (LBM) and hypertension in recent years, but the previous findings have often been contradictory. Therefore, the authors investigated the association between LBM and hypertension through a cross‐sectional study in the United States. To investigate the relationship between LBM and hypertension, the authors conducted weighted multivariable logistic regression models. The authors used the restricted cubic spline regression model to determine if there was a nonlinear correlation. In order to locate the inflection point, the authors built a two‐part linear regression model using a recursive method. In the full adjustment model, LBM was positively associated with hypertension, with ORs (95% CI) of 1.19 (1.02, 1.38). In the further linear trend test, the ORs (95% CI) for Q2, Q3, and Q4 were 0.76 (0.60, 0.95), 0.62 (0.47, 0.80), and 0.66 (0.48, 0.91), respectively, compared to Q1, which suggested that the association between LBM and hypertension might be non‐linear. The authors performed the restricted cubic spline curve to confirm this non‐linear relationship and found the inflection point of 43.21 kg with an opposite relationship in which LBM and hypertension exhibited a negative correction of 0.66 (0.50, 0.86) before the inflection point and a positive correlation of 1.20 (1.03, 1.39) after the inflection point. Our study highlighted a non‐linear association between LBM and hypertension in the general US population.

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Association between body composition and blood pressure in normal-weight Chinese children and adolescents

Cited by 7 publications

References 39 publications

Association between BMI z-score and body composition indexes with blood pressure and grip strength in school-age children: a cross-sectional study

Association between BMI z-score and body composition indexes with blood pressure and grip strength in school-age children: a cross-sectional study

Low Body Fat Percentage and Menstrual Cycle Disorders in Female Elite Adolescent Dancers

Association between lean body mass and hypertension: A cross‐sectional study of 50 159 NHANES participants

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