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Wang Z, Zang J, Wang Z, Fong DT, Wang D. Effects of 12-week integrative neuromuscular training on muscular fitness and sex differences in response to intervention in five- to six-year-old preschoolers. PeerJ 2025; 13:e19417. [PMID: 40352273 PMCID: PMC12066101 DOI: 10.7717/peerj.19417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2024] [Accepted: 04/10/2025] [Indexed: 05/14/2025] Open
Abstract
Objectives This study examined the effects of a 12-week integrative neuromuscular training (INT) program on muscular fitness in male and female five- to six-year-old preschoolers. Methods Thirty preschoolers were randomly assigned to either an experimental group (EG; n = 15; age = 5.3 ± 0.5 years, body height = 115.3 ± 5.2 cm, body mass = 20.7 ± 2.6 kg) or a control group (CG; n = 15; age = 5.2 ± 0.4 years, body height = 118.5 ± 4.9 cm, body mass = 22.6 ± 2.7 kg) participating in a 12-week INT program and regular physical education classes three times per week, respectively. Upper extremity maximal strength (grip strength test) and power (tennis ball throwing test), core endurance strength (one-minute sit-up test), and lower extremity power (standing long jump test) were assessed at the baseline (T0), Week 6 (T6), and Week 12 (T12). Data were analyzed using an independent samples T-test and a two-way repeated-measures ANOVA. Results Significant interaction effects between the EG and CG were observed for grip strength, tennis ball throws, one-minute sit-ups, and standing long jumps (p < 0.001). Relative to the CG, the EG demonstrated significant improvements in all muscular fitness at T6 and T12 (p < 0.05). However, no significant interaction was found between the time and the sex (p > 0.05). Conclusions These findings suggested that a 12-week INT program can more effectively enhance the muscular fitness of 5-6-year-old preschoolers compared to regular physical education classes, serving as an effective and efficient supplement to physical education for this age group. Furthermore, there is no evidence of sex -specific differences in the development of muscular fitness among 5-6-year-old preschoolers under the INT program.
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Affiliation(s)
- Zhihai Wang
- School of Athletic Performance, Shanghai University of Sport, Shanghai, China
| | - Jiayu Zang
- School of Athletic Performance, Shanghai University of Sport, Shanghai, China
| | - Zhaohong Wang
- Fifth Experimental Kindergarten, Xin’an County, Luoyang City, Henan, China
| | - Daniel T.P. Fong
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Dan Wang
- School of Athletic Performance, Shanghai University of Sport, Shanghai, China
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Fang W, Fu Y, Li Q, Cheng M, Zhang M, Lu Y. Relationship between dietary intake and growth and development in Chinese pupils. Front Public Health 2025; 13:1454129. [PMID: 40013028 PMCID: PMC11861545 DOI: 10.3389/fpubh.2025.1454129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 01/30/2025] [Indexed: 02/28/2025] Open
Abstract
Background A nutritional diet is essential for children's growth and development. This study aimed to investigate the relationship between dietary intake and growth and development of pupils to provide more specific nutritional recommendations for their healthy growth. Methods This cross-sectional study included 592 pupils, and standardized questionnaires were used to collect information on students' sociodemographic characteristics, lifestyle habits and dietary intake. Growth and development assessment indicators were measured according to standard protocols. The multivariate generalized linear regression models adjusted for covariates were used to investigate the association between dietary intake and growth and development of pupils. Results The generalized linear regression model showed that standing long jump of all pupils (β = -6.735, 95% CI: -12.064, -1.406) and body fat rate (β = -2.650, 95% CI: -4.794, -0.507), fat weight (β = -1.283, 95% CI: -2.286, -0.280) and chest circumference (β = -1.456, 95% CI: -2.789, -0.123) of boys were negatively correlated with dietary diversity score. Among all pupils, meat intake was positively correlated with chest circumference (β = 0.420, 95% CI: 0.119, 0.721) and negatively correlated with standing long jump(β = -1.991, 95% CI: -3.902, -0.080); milk intake was positively correlated with waist circumference (β = 0.470, 95% CI: 0.007, 0.932); soybean intake was negatively correlated with body fat rate (β = -0.583, 95% CI: -1.125, -0.042), fat weight (β = -0.262, 95% CI: -0.517, -0.006), and waist circumference (β = -0.607, 95% CI: -1.050, -0.164); and vegetable intake was negatively correlated with height (β = -0.290, 95% CI: -0.496, -0.084), and positively correlated with stature-sitting height index and waist circumference (p < 0.05). Certain associations retained significance even after stratified analysis based on gender and frequency of dietary intake. Conclusion Dietary diversity score and their respective food groups such as meat, milk, coarse grain, soybean and vegetable will impact growth and development indicators, requiring purposefully controlled dietary intake.
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Affiliation(s)
- Wen Fang
- Center for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, China
| | - Ye Fu
- State Key Laboratory of Environmental Health (Incubating), Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qin Li
- Center for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, China
| | - Menghan Cheng
- Center for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, China
| | - Miao Zhang
- Center for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, China
| | - Yu Lu
- Center for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, China
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Huang T, Zhao G, Fu J, Sun S, Lv W, He Z, Chen D, Chen R. Associations between family factors and physical activity clustering in preschool children: a cross-sectional study. Front Public Health 2024; 12:1367934. [PMID: 39544435 PMCID: PMC11560752 DOI: 10.3389/fpubh.2024.1367934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 10/14/2024] [Indexed: 11/17/2024] Open
Abstract
Objective This study aimed to examine the association between family factors and physical activity (PA) clustering in preschool children. Methods Preschoolers' PA and sedentary behavior (SB) were assessed consecutively for 7 days using ActiGraph accelerometers based on the cutoff counts developed by Pate et al. Information about children, their parents, and their families was collected using questionnaires. We developed a two-step approach to clustering PA both inside and outside of kindergarten. The Euclidean distance metric was utilized to distinguish between groups, while the Schwarz-Bayesian criterion was applied to identify the most optimal sub-group model. A one-way ANOVA was used to assess the clustering effect, and logistic regression was used to analyze the influencing factors of different clustering. Results We collected data from 291 preschool children aged 3 to 6 years and divided them into three clusters-Inactive (50.2%), Active in kindergarten (26.8%), and Active outside kindergarten (23.0%)-with significant differences in PA and SB, revealing distinct temporal and spatial clustering patterns (silhouette coefficient = 0.3, p < 0.05). Furthermore, preschooler activity levels correlated significantly with factors including gender (OR = 0.35, 95% CI: 0.19-0.66), age (OR = 1.05, 95% CI: 1.00-1.10), birth weight (OR = 1.79, 95% CI: 1.16-2.76), paternal age (OR = 1.01, 95% CI: 1.00-1.02), and maternal income (OR = 0.68, 95% CI: 0.48-0.96). Conclusion This study shows that the family environment or parents significantly influence the PA of preschool children. Older fathers may promote preschool children's PA through greater educational focus and financial stability, while higher maternal income can provide more opportunities and resources for preschool children to engage in active lifestyles. Thus, it is suggested that families providing more attention and exercise opportunities for preschool children's education can help improve their PA levels in the future.
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Affiliation(s)
- Ting Huang
- School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China
- School of Physical Education, Nanchang University, Nanchang, China
| | - Guanggao Zhao
- School of Physical Education, Nanchang University, Nanchang, China
| | - Jinmei Fu
- Jiangxi Sports Science and Medicine Center, Nanchang, China
| | - Shunli Sun
- Jiangxi Sports Science and Medicine Center, Nanchang, China
| | - Wendi Lv
- College of Physical and Health, Jiangxi University of Traditional Chinese Medicine, Nanchang, China
| | - Zihao He
- School of Kinesiology, Beijing Sport University, Beijing, China
| | - Delong Chen
- School of Physical Education, Nanchang University, Nanchang, China
| | - Ruiming Chen
- School of Physical Education, Nanchang University, Nanchang, China
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Cai X, Zhang H, Sun T, Yu J, Jia X. Association between BMI and health-related physical fitness in adolescents with hearing impairment in China: a cross-sectional study. PeerJ 2024; 12:e17995. [PMID: 39224821 PMCID: PMC11368083 DOI: 10.7717/peerj.17995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 08/07/2024] [Indexed: 09/04/2024] Open
Abstract
Background This cross-sectional study aimed to address a critical gap in the understanding of the association between body mass index (BMI) and physical fitness levels in adolescents with hearing impairment (HI) in China. This study investigated how different BMI levels impact the physical fitness index (PFI) of HI adolescents. Methods This study employed a physical fitness test for HI adolescents attending special education schools. The test included eight components: height, weight, 50-m sprint, standing long jump, sit and reach, endurance run, bent-knee sit-up (for girls), and pull-up (for boys). Test scores for each student were standardized by age and gender. Individual Z-scores were then calculated, and the sum of these Z-scores constituted the PFI. Logistic regression was used to analyze the relationship between BMI and PFI across different gender and age groups. Statistical significance was set at P < 0.05. Results The linear regression model showed an inverted U-shaped relationship between BMI and PFI. At the same BMI level, boys exhibited superior physical fitness compared to girls with the same BMI (P < 0.05). Statistically significant differences in PFI levels were observed between normal-weight and obese males, as well as between underweight and obese boys (P < 0.05). In the 13-15 and 16-18 age groups, the increase in BMI has a greater impact on boys PFI than on girls. Conclusions Adolescents with HI generally demonstrated good physical fitness. Compared to individuals with normal weight, those who were underweight, overweight, or obese exhibited lower levels of physical fitness. Future interventions should focus on adolescents with HI with abnormal BMI.
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Affiliation(s)
- Xiaowan Cai
- School of Sport Science, Beijing Sports University, Beijing, China
- Key Laboratory of Sports and Physical Health, Ministry of Education, Beijing, China
| | - Hanyue Zhang
- Key Laboratory of Sports and Physical Health, Ministry of Education, Beijing, China
- School of Physical Education, Northeast Normal University, Changchun, Jilin, China
| | - Tingting Sun
- Key Laboratory of Sports and Physical Health, Ministry of Education, Beijing, China
- China Institute of Sports and Health, Beijing Sports University, Beijing, China
| | - Jingjing Yu
- Key Laboratory of Sports and Physical Health, Ministry of Education, Beijing, China
- China Institute of Sports and Health, Beijing Sports University, Beijing, China
| | - Xiao Jia
- School of Sport Science, Beijing Sports University, Beijing, China
- Key Laboratory of Sports and Physical Health, Ministry of Education, Beijing, China
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Fu J, Sun S, Zhu S, Wang R, Chen D, Chen R, Xue R, Lv W, Zhang Y, Huang T, Hu X, Jiang T, Wen L, Su L, He Z, Zhao G, Zou W. Relationship between 24-h activity behavior and body fat percentage in preschool children: based on compositional data and isotemporal substitution analysis. BMC Public Health 2024; 24:1063. [PMID: 38627707 PMCID: PMC11022470 DOI: 10.1186/s12889-024-18570-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 04/11/2024] [Indexed: 04/19/2024] Open
Abstract
OBJECTIVE This study aims to elucidate the dose‒response relationship between 24-h activity behaviors and body fat percentage (BFP) in Chinese preschool children using a compositional isotemporal substitution model (ISM). METHODS In a cross-sectional design, 881 children aged 3-6 from urban and rural areas of Jiangxi Province were sampled. Activity behaviors, including sedentary behavior (SB), low-intensity physical activity (LPA), and moderate- to high-intensity physical activity (MVPA), were measured using accelerometers. Sleep patterns were assessed through questionnaires, and BFP was determined by bioelectrical impedance analysis (BIA). The study employed compositional data analysis (CoDA) and ISM to estimate the impact of reallocating durations of different activity behaviors on BFP. RESULTS Higher BFP was found in urban vs. rural children, decreasing with age. Overweight and obesity rates were 10.6% and 7.6%, respectively, above national averages. MVPA and LPA were negatively correlated with BFP, while SB was positively correlated. A 30-min MVPA reduction significantly increased zBFR, particularly in overweight children. Gender-specific nuances revealed that boys' MVPA negatively influenced zBFP (β = -0.155), P < 0.05), while girls' SB positively impacted zBFP (β = 0.636, P < 0.01). Isotemporal simulations emphasized amplified effects in overweight children, with boys' zBFR rising rapidly when MVPA was substituted and girls displaying a notable substitution effect between SB and LPA. CONCLUSION BFP is closely linked to 24-h activity behaviors, notably in overweight and obese preschoolers. ISM identified MVPA as a critical influencer, with a 30-min reduction substantially increasing BFP. Gender disparities were evident, implicating MVPA in boys and LPA and SB in girls.
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Affiliation(s)
- Jinmei Fu
- Jiangxi Province Sports Science Medical Center, No.28 Fuzhou Road, Nanchang, 330006, Jiangxi, China
| | - Shunli Sun
- Jiangxi Province Sports Science Medical Center, No.28 Fuzhou Road, Nanchang, 330006, Jiangxi, China
| | - Shenggen Zhu
- Physical Education Institute, Xinyu University, No.2666 Sunshine Avenue, Xinyu, 330038, Jiangxi, China
| | - Runze Wang
- Physical Education Institute, Nanchang University, No.999 Xuefu Avenue, Nanchang, 330038, Jiangxi, China
| | - Delong Chen
- Physical Education Institute, Nanchang University, No.999 Xuefu Avenue, Nanchang, 330038, Jiangxi, China
| | - Ruiming Chen
- Physical Education Institute, Nanchang University, No.999 Xuefu Avenue, Nanchang, 330038, Jiangxi, China
| | - Ran Xue
- Jiangxi Province Sports Science Medical Center, No.28 Fuzhou Road, Nanchang, 330006, Jiangxi, China
| | - Wendi Lv
- School of Sports and Health, Jiangxi University of Traditional Chinese Medicine, 1688 Meiling Avenue, Nanchang, 330004, NoJiangxi, China
| | - Yunfan Zhang
- Jiangxi Province Sports Science Medical Center, No.28 Fuzhou Road, Nanchang, 330006, Jiangxi, China
| | - Ting Huang
- School of Physical Education and Sport Science, Science and Technology Road, Fujian Normal University, No.1, University Town, 350117, Fujian, China
| | - Xuewen Hu
- Physical Education Institute, Nanchang University, No.999 Xuefu Avenue, Nanchang, 330038, Jiangxi, China
| | - Tianle Jiang
- Physical Education Institute, Nanchang University, No.999 Xuefu Avenue, Nanchang, 330038, Jiangxi, China
| | - Lei Wen
- Jiangxi Province Sports Science Medical Center, No.28 Fuzhou Road, Nanchang, 330006, Jiangxi, China
| | - Liqiang Su
- Physical Education Institute, Jiangxi Normal University, No.99 Ziyang Avenue, Nanchang, 330022, Jiangxi, China
| | - Zihao He
- College of Sports and Human Sciences, Beijing Sport University, No.48 Information Road, Beijing, 100091, China
| | - Guanggao Zhao
- Physical Education Institute, Nanchang University, No.999 Xuefu Avenue, Nanchang, 330038, Jiangxi, China.
| | - Weilu Zou
- Jiangxi Provincial Gymnastics Sports Management Center, 28 Fuzhou Road, Nanchang, 330006, Jiangxi, China
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