Regional variation in growth status: A cross‐sectional survey among <scp>Tibetan</scp> adolescents living at three different high altitudes in <scp>Tibet</scp>, <scp>China</scp>

Bi, Cunjian; Lin, Hongniu; Zhang, Jie; Gui, Xiaoying; Shi, Z.

doi:10.1002/ajhb.23856

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…Some of the scholars' studies emphasize the mechanisms of the natural and built environment that influence adolescents' physical fitness. For example, the altitude of the area where they are located is the main natural environmental factor influencing the development of physical fitness and form in children and adolescents [44][45][46]. Existing studies have shown that there is a highly significant correlation between human aerobic capacity and altitude, and that appropriate altitude can effectively enhance human aerobic capacity [47].…”

Section: Factors Influencing Physical Fitnessmentioning

confidence: 99%

Spatial Heterogeneity and Regional Clustering of Factors Influencing Chinese Adolescents’ Physical Fitness

Tong

Kong

Jia

et al. 2023

IJERPH

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There is often significant spatial heterogeneity in the factors influencing physical fitness in adolescents, yet less attention has been paid to this in established studies. Based on the 2018 Chinese National Student Physical Fitness Standard Test data, this study uses a multi-scale, geographically weighted regression (MGWR) model combined with a K-means clustering algorithm to construct a spatial regression model of the factors influencing adolescent physical fitness, and to investigate the degree of spatial variation in the physical fitness of Chinese adolescents from a socio-ecological perspective of health promotion. The following conclusions were drawn: the performance of the youth physical fitness regression model was significantly improved after taking spatial scale and heterogeneity into account. At the provincial scale, the non-farm output, average altitude, and precipitation of each region were strongly related to youth physical fitness, and each influencing factor generally showed a banded spatial heterogeneity pattern, which can be summarized into four types: N–S, E–W, NE–SW, and SE–NW. From the perspective of youth physical fitness, China can be divided into three regions of influence: the socio-economic-influenced region, mainly including the eastern region and some of the central provinces of China; the natural-environment-influenced region, which mainly includes the northwestern part of China and some provinces in the highland region; and the multi-factor joint-influenced region, which mainly includes the provinces in the central and northeastern regions of China. Finally, this study provides syndemic suggestions for physical fitness and health promotion for youths in each region.

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Section: Factors Influencing Physical Fitnessmentioning

confidence: 99%

Spatial Heterogeneity and Regional Clustering of Factors Influencing Chinese Adolescents’ Physical Fitness

Tong

Kong

Jia

et al. 2023

IJERPH

View full text Add to dashboard Cite

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“…Participants living at sea level tend to be taller, heavier, and have a higher body mass index (BMI), and waist circumference (WC) relative to those living at HA ( 9 ). Previous studies have shown that the growth indicators, such as height, weight, chest circumference, and WC, differ among Chinese Tibetan adolescents at different altitudes ( 10 ). However, there is a lack of systematic research on the differences in human body composition among Tibetan college students at different altitudes.…”

Section: Introductionmentioning

confidence: 99%

Novel insight into the genetic signatures of altitude adaptation related body composition in Tibetans

Li,

Xu,

et al. 2024

Front. Public Health

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BackgroundThe Tibetan population residing in high-altitude (HA) regions has adapted to extreme hypoxic environments. However, there is limited understanding of the genetic basis of body compositions in Tibetan population adapted to HA.MethodsWe performed a genome-wide association study (GWAS) to identify genetic variants associated with HA and HA-related body composition traits. A total of 755,731 single nucleotide polymorphisms (SNPs) were genotyped using the precision medicine diversity array from 996 Tibetan college students. T-tests and Pearson correlation analysis were used to estimate the association between body compositions and altitude. The mixed linear regression identified the SNPs significantly associated with HA and HA-related body compositions. LASSO regression was used to screen for important SNPs in HA and body compositions.ResultsSignificant differences were observed in lean body mass (LBW), muscle mass (MM), total body water (TBW), standard weight (SBW), basal metabolic rate (BMR), total protein (TP), and total inorganic salt (Is) in different altitudes stratification. We identified three SNPs in EPAS1 (rs1562453, rs7589621 and rs7583392) that were significantly associated with HA (p < 5 × 10−7). GWAS analysis of 7 HA-related body composition traits, we identified 14 SNPs for LBM, 11 SNPs for TBW, 15 SNPs for MM, 16 SNPs for SBW, 9 SNPs for BMR, 12 SNPs for TP, and 26 SNPs for Is (p < 5.0 × 10−5).ConclusionThese findings provide insight into the genetic basis of body composition in Tibetan college students adapted to HA, and lay the foundation for further investigation into the molecular mechanisms underlying HA adaptation.

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Children’s bone age development is delayed with increasing altitude: a multicentre study

Liu,

Wangjiu,

Awang

et al. 2024

British Journal of Radiology

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Objectives To investigate the bone age (BA) characteristics of children living at high-altitude regions and determine the impact of altitude on the development of BA. Methods From June 2014 to July 2022, 1,318 children with left hand-wrist radiographs were retrospectively enrolled from three different geographical altitudes (Beijing 43.5 m above sea level [asl], Lhasa 3650 m asl, and Nagqu 4500 m asl). The predicted age difference (PAD), defined as the difference between BA and chronologic age (CA), was considered the indicator for delayed or advanced growth. The PAD of children from the three regions in total and according to different age groups, genders, and ethnicities were compared. The linear regression model was used to assess the effect of altitude on PAD. Results A total of 1284 children (CA: 12.00 [6.45, 15.72] years; male: 837/1284, 65.2%) were included in the study with 407 from Beijing, 491 from Lhasa, and 386 from Nagqu. The PAD for Beijing, Lhasa, and Nagqu were 0.1 [-0.30, 0.65], -0.40 [-1.20, 0.27], and -1.42 [-2.32, -0.51] years, respectively. A linear regression analysis showed that altitude significantly contributed to PAD (compared to Beijing, Lhasa coefficient = -0.57, P < 0.001; Nagqu coefficient = -1.55, P < 0.001). Conclusions High altitude might be an independent contributor to the delayed BA development of children. Advances in knowledge The impact of altitude on BA development was revealed for the first time, highlighting the necessity of considering the altitude of the area when evaluating BA development for children residing in high-altitude regions.

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Regional variation in growth status: A cross‐sectional survey among Tibetan adolescents living at three different high altitudes in Tibet, China

Cited by 3 publications

References 31 publications

Spatial Heterogeneity and Regional Clustering of Factors Influencing Chinese Adolescents’ Physical Fitness

Spatial Heterogeneity and Regional Clustering of Factors Influencing Chinese Adolescents’ Physical Fitness

Novel insight into the genetic signatures of altitude adaptation related body composition in Tibetans

Children’s bone age development is delayed with increasing altitude: a multicentre study

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