Objectives This study aimed to examine the effectiveness of resistance training on hemoglobin A1c (HbA1c) levels and body mass index in patients with diabetes mellitus, categorized by age.
Methods A comprehensive search of English-language literature published between 1997 and 2025 was performed across 6 databases (Embase, CINAHL, Medline, Cochrane, PubMed, and PEDro). Standardized mean differences and 95% confidence intervals were calculated, and publication bias was assessed using funnel plots and Egger’s test. The Joanna Briggs Institute checklist was applied to evaluate study quality.
Results Thirty randomized controlled trials met the inclusion criteria, comprising 620 participants in the older (<60 years of age) subgroup and 1,389 in the middle-aged (40–59 years of age) subgroup. In both subgroups, resistance training significantly reduced HbA1c levels and body mass index, while increasing muscle strength (primary outcome). It also significantly increased high-density lipoprotein, improved VO₂ peak, and reduced low-density lipoprotein (secondary outcomes). However, the effects of resistance training were significant only in the older-adult subgroup for total cholesterol and only in the middle-aged subgroup for triglycerides.
Conclusion Resistance training is a recommended rehabilitation exercise for patients with diabetes mellitus. Routine resistance training has been shown to help maintain optimal HbA1c and body mass index levels and improve muscle strength. In addition, it does not pose a risk of adverse events in either middle-aged or older patients. Nonetheless, patients are advised to monitor blood glucose levels and adhere to a proper diet to achieve optimal outcomes.
Citations
Citations to this article as recorded by
Brain glucodynamic variability is an essential feature of the metabolism–cognition relationship Hamish A. Deery, Emma Liang, Chris Moran, Gary F. Egan, Sharna D. Jamadar Proceedings of the National Academy of Sciences.2026;[Epub] CrossRef
<sec>
<title>Objectives</title>
<p>Different factors are responsible for the silent epidemic of diabetes mellitus in developing and developed countries. This study aimed to determine the role of demographic factors, lipid profile, family history (the estimation of genetic association) and anthropometric factors on diabetes onset.</p></sec>
<sec>
<title>Methods</title>
<p>Data from the enrolment phase of the Tabari Cohort study was applied for this study and included 10,255 participants aged between 35–70 years. Anthropometric variables were measured by trained staff using standard tools. Blood specimens were collected for lipid profile and blood glucose measurements. Data analyses were performed using SPSS version 24, with univariate and multivariate logistic regression.</p></sec>
<sec>
<title>Results</title>
<p>The prevalence of diabetes mellitus was estimated to be 17.2% in the cohort population, 15.6% in men, and 18.3% in women. The adjusted odds ratios (95% confidence intervals) for age groups 40–49, 50–59 and over 60 were 2.58 (2.20–3.69), 5.80 (4.51–7.48) and 8.72 (6.67–11.39), respectively. In addition, the odds ratios (95% confidence intervals) for 2 (or more), and 1 affected family member were 4.12 (3.55–4.90) and 2.34 (2.07–2.65), respectively. Triglyceride concentrations more than 500, and abnormal high-density lipoprotein levels increased the odds of diabetes mellitus by 3.29- and 1.18-fold, respectively.</p></sec>
<sec>
<title>Conclusion</title>
<p>The current study showed that old age and a family history were strong predictors for diabetes mellitus.</p></sec>
The association between smoking profile, leukocyte count, and inflammatory indices in males: a cross-sectional analysis of the TABARI cohort study at enrollment phase Erfan Ghadirzadeh, Mahmood Moosazadeh, Motahareh Kheradmand, Masoumeh Bagheri-Nesami, Sajad Ghafari-Cherati, Mobina Gheibi, Amirsaeed Hosseini Inhalation Toxicology.2025; 37(3): 146. CrossRef
Application of generalized linear mixed effects random forest for identifying risk factors of prediabetes in Tehran Lipid and Glucose Study Maryam Karimi Ghahfarokhi, Farid Zayeri, Davood Khalili, Chiara Masci, Ali Sheidaei, Yaser Mehrali, Fatemeh Masaebi, Yadollah Mehrabi Scientific Reports.2025;[Epub] CrossRef
The prevalence and determinants of diabetes mellitus and thyroid disorder comorbidity in Tabari cohort population Mahmood Moosazadeh, Saeedeh Khakhki, Adele Bahar, Akbar Hedayatizadeh-Omran, Motahareh Kheradmand, Reza Alizadeh-Navaei, Erfan Ghadirzadeh Scientific Reports.2024;[Epub] CrossRef
The relationship between spiritual intelligence and self-management in patients with diabetes type 1 Sima Rafiei, Saber Souri, Zahra Nejatifar, Mohammad Amerzadeh BMC Endocrine Disorders.2023;[Epub] CrossRef
Prevalence and determinants of diabetes and prediabetes in southwestern Iran: the Khuzestan comprehensive health study (KCHS) Sanam Hariri, Zahra Rahimi, Nahid Hashemi-Madani, Seyyed Ali Mard, Farnaz Hashemi, Zahra Mohammadi, Leila Danehchin, Farhad Abolnezhadian, Aliasghar Valipour, Yousef Paridar, Mohammad Mahdi Mir-Nasseri, Alireza Khajavi, Sahar Masoudi, Saba Alvand, Bahman BMC Endocrine Disorders.2021;[Epub] CrossRef
<sec>
<title>Objectives</title>
<p>The aim of this study was to evaluate whether the waist circumference of patients with chronic obstructive pulmonary disease (COPD), had an impact on lung function.</p></sec>
<sec>
<title>Methods</title>
<p>There were 180 patients with COPD recruited into this prospective cross-sectional study. The age, weight, body mass index and waist circumference (WC) were measured. Spirometry parameters including forced vital capacity (FVC), and forced expiratory volume in the first second (FEV1), were measured and FEV1/FVC calculated.</p></sec>
<sec>
<title>Results</title>
<p>The mean FEV1/FVC in both normal weight and overweight patients, did not statistically significantly correlate with WC. The COPD assessment test, positively correlated with WC ( <italic>p</italic> = 0.031). A positive correlation with body mass index ( <italic>p</italic> < 0.001), smoking ( <italic>p</italic> = 0.027), and global initiative for chronic obstructive lung disease score ( <italic>p</italic> = 0.009), were observed to positively associate with WC. WC, age, C-reactive protein, duration of disease, and gender (male), were observed to be statistically significant risk factors for the severity of COPD.</p></sec>
<sec>
<title>Conclusion</title>
<p>WC was not observed to impact upon lung function in this study but it was a predictive factor for COPD severity in patients.</p></sec>
Citations
Citations to this article as recorded by
The Relationship Between Anthropometric Variables and Lung Function in a Severe Smoking Community Population With Ventilatory Dysfunction Tiantian Cen, Zekai Cen, Xuan Chen, Zaichun Deng, Yiming Yu, Shanshan Wang, Hongying Ma The Clinical Respiratory Journal.2025;[Epub] CrossRef
Lung function parameters in overweight patients with COPD in relation to body mass index and waist circumference and impact on quality of life Zunaira Nawaz, Muhammad Ashraf Jahangir, Zille Huma Journal of International Medical Research.2024;[Epub] CrossRef
The role of abdominal obesity in the development of cardiopulmonary disorders in aluminum industry workers Egor S. Filimonov, Olga Yu. Korotenko, Evgeniya V. Ulanova Hygiene and sanitation.2023; 102(4): 328. CrossRef
A study on the correlation of chronic obstructive pulmonary disease with metabolic syndrome and its components Aishee Bhattacharyya, Avas Chandra Roy, Subrata Basu, Krishanko Das Journal of Research in Applied and Basic Medical S.2023; 9(4): 243. CrossRef
Blood Levels of Indicators of Lower Respiratory Tract Damage in Chronic Bronchitis in Patients with Abdominal Obesity Elena V. Kashtanova, Yana V. Polonskaya, Evgeniia V. Striukova, Liliia V. Shcherbakova, Evgenii A. Kurtukov, Viktoriya S. Shramko, Ekaterina M. Stakhneva, Yulia I. Ragino Diagnostics.2022; 12(2): 299. CrossRef
Prevalence of Metabolic Syndrome in Chronic Obstructive Pulmonary Disease and its Correlation with Body Mass Index, Airflow Obstruction, Dyspnea, and Exercise Index and C-Reactive Protein D. Suresh Kumar, Richard Samuel, Viola Savy DSouza, Madhu Keshava Bangera Indian Journal of Respiratory Care.2022; 11(4): 314. CrossRef
Prevalence of chronic bronchitis against a background of abdominal obesity in young people aged 25–44 in Novosibirsk Yu. I. Ragino, E. A. Kurtukov, D. V. Denisova, Ya. V. Polonskaya, L. V. Shcherbakova Bulletin of Siberian Medicine.2021; 20(1): 105. CrossRef
Abdominal obesity and the level of markers of lower respiratory tract damage in patients with chronic bronchitis E.V. Kashtanova, Ya.V. Polonskaya, L.V. Scherbakova, I.I. Logvinenko, E.F. Kurtukov, D.V. Denisova, Yu.I. Ragino Profilakticheskaya meditsina.2021; 24(5): 35. CrossRef
<sec>
<title>Objectives</title>
<p>The objective of this study was to examine the socio-demographic disparities in obesity among US adults across 130 metropolitan and micropolitan statistical areas.</p></sec>
<sec>
<title>Methods</title>
<p>This study used data from the 2015 Behavioral Risk Factor Surveillance System and Selected Metropolitan/Micropolitan Area Risk Trend of 159,827 US adults aged 18 years and older. Data were analyzed using the multilevel linear regression models.</p></sec>
<sec>
<title>Results</title>
<p>According to individual level analyses, socio-demographic disparities in obesity exist in the United States. Individuals with low socioeconomic status were associated with a higher body mass index. The participants from the Midwest United States tend to have higher body mass index than those who from the South. According to metropolitan and micropolitan statistical area level analyses, secondly, there were significant differences in obesity status between different areas and the relation of obesity with 5 socio-demographic factors varied across different areas. According to geospatial mapping analyses, even though obesity status by metropolitan and micropolitan statistical area level has improved overtime, differences in body mass index between United States regions are increasing from 2007 to 2015.</p></sec>
<sec>
<title>Conclusion</title>
<p>Socio-demographic and regional disparities in obesity status persist among US adults. Hence, these findings underscore the need to take socio-environmental factors into account when planning obesity prevention on vulnerable populations and areas.</p></sec>
Citations
Citations to this article as recorded by
Body mass index and colorectal cancer screening among cancer survivors: the role of sociodemographic characteristics Tsai Meng-Han, Pollard Elinita, Vernon Marlo, Chen Jie Cancer Causes & Control.2025; 36(7): 641. CrossRef
Burden of diseases attributable to excess body weight in 204 countries and territories, 1990–2019 Saeid Safiri, Jessica A. Grieger, Amir Ghaffari Jolfayi, Seyed Ehsan Mousavi, Seyed Aria Nejadghaderi, Asra Fazlollahi, Mark J. M. Sullman, Nahid Karamzad, Fikrettin Sahin, Kuljit Singh, Gary S. Collins, Ali-Asghar Kolahi Nutrition Journal.2025;[Epub] CrossRef
Adolescent health behavior patterns and weight status: a cross-sectional analysis Jiayan Gui, Hui Zhang, Jingyou Miao, Xinyao Liu, Lilu Ding, Qiuli Wang Frontiers in Public Health.2025;[Epub] CrossRef
Mapping Obesity Coverage in Florida Counties Using Interactive Web‐Based Mapping Tools to Support Targeted Policy and Intervention Efforts Justice Moses K. Aheto, Ovie A. Utuama, Getachew A. Dagne, Aron Weller Journal of Obesity.2025;[Epub] CrossRef
County‐level socio‐environmental factors and obesity prevalence in the United States Pedro R. V. O. Salerno, Alice Qian, Weichuan Dong, Salil Deo, Khurram Nasir, Sanjay Rajagopalan, Sadeer Al‐Kindi Diabetes, Obesity and Metabolism.2024; 26(5): 1766. CrossRef
The impact of overweight and obesity on health outcomes in the United States from 1990 to 2021 Omar Al Ta'ani, Yazan A. Al‐Ajlouni, Wesam Aleyadeh, Farah Al‐Bitar, Saqr Alsakarneh, Aseel Saadeh, Laith Alhuneafat, Basile Njei Diabetes, Obesity and Metabolism.2024; 26(11): 5455. CrossRef
Application of Machine Learning and Deep Neural Visual Features for Predicting Adult Obesity Prevalence in Missouri Butros M. Dahu, Carlos I. Martinez-Villar, Imad Eddine Toubal, Mariam Alshehri, Anes Ouadou, Solaiman Khan, Lincoln R. Sheets, Grant J. Scott International Journal of Environmental Research an.2024; 21(11): 1534. CrossRef
Supplemental Nutrition Assistance Program (SNAP)-Authorized Grocery, Convenience, Dollar, and Restaurant or Delivery Service Settings Are Associated With Increased Obesity Prevalence in Virginia Bailey Houghtaling, David Kniola, Sarah Misyak American Journal of Health Promotion.2021; 35(1): 127. CrossRef
The effects of the built environment on the general health, physical activity and obesity of adults in Queensland, Australia Siqin Wang, Yan Liu, Jack Lam, Mei-Po Kwan Spatial and Spatio-temporal Epidemiology.2021; 39: 100456. CrossRef
Exposure to air pollutants and the gut microbiota: a potential link between exposure, obesity, and type 2 diabetes Maximillian J. Bailey, Noopur N. Naik, Laura E. Wild, William B. Patterson, Tanya L. Alderete Gut Microbes.2020; 11(5): 1188. CrossRef
<sec>
<title>Objectives</title>
<p>To identify trends in percentage body fat (PBF) in adolescents to determine gender-specific classification thresholds for being overweight and obese.</p></sec>
<sec>
<title>Methods</title>
<p>A cross-sectional study of 899 adolescents (11 to 14.5 years) from Hanoi and Nam Dinh was conducted in Vietnam. PBF, subcutaneous fat and percentage of lean mass were measured directly using OMRON HBF 375 scales to measure bioelectrical impedance.</p></sec>
<sec>
<title>Results</title>
<p>PBF decreased in boys with increasing age (<italic>p</italic> < 0.001). The difference in PBF between boys and girls, significantly increased with age after 12.5 years (<italic>p</italic> < 0.001). There was a stronger correlation between PBF and fat content (Pearson’s <italic>r</italic> = <italic>0.860</italic>, <italic>p</italic> < <italic>0.0001</italic>) than that between (BMI) and fat content (Pearson’s <italic>r</italic> = <italic>0.521</italic>, <italic>p</italic> < <italic>0.0001</italic>). The prevalence of being overweight or obese in girls was similar when determined by PBF or BMI. Hanoi had higher rates of adolescents being overweight or obese compared with Nam Dinh.</p></sec>
<sec>
<title>Conclusion</title>
<p>PBF provides a more accurate body assessment for being overweight or obese in adolescents compared with BMI.</p></sec>
Citations
Citations to this article as recorded by
Effectiveness of school-based intervention in obese children Sanket Satish Nagrale, Mariya Jiandani Journal of Family Medicine and Primary Care.2026; 15(2): 824. CrossRef
Body Image Perception and Nutritional Status Among Schoolchildren in Ghana: A Cross‐Sectional Study Sarah Twum, Justina S. Owusu, Agartha N. Ohemeng, Hannah Wesley Advances in Public Health.2026;[Epub] CrossRef
Correlations and consistency of body composition measurement indicators and BMI: a systematic review Ruohan Yang, Jinxia Yu, Chunyan Luo, Wenjuan Qi, Dongling Yang, Hui Xue, Xiaoyan Ni, Shuxin Yu, Wei Du, Fengyun Zhang International Journal of Obesity.2025; 49(1): 4. CrossRef
Changes in body composition (muscle mass and adipose tissue) among adolescents aged 11–15 from Kraków during the COVID-19 pandemic Paulina Artymiak, Magdalena Żegleń, Łukasz Kryst Anthropological Review.2025; 87(4): 55. CrossRef
Transforming personalized weight forecasting: From the Personalized Metabolic Avatar to the Generalized Metabolic Avatar A. Abeltino, C. Serantoni, A. Riente, M. De Giulio, S. Capezzone, R. Esposito, M. De Spirito, G. Maulucci Computers in Biology and Medicine.2025; 188: 109879. CrossRef
Relationship Between Body Mass Index and Fat Mass Percentage with Proprioception in Children Eduardo Guzmán-Muñoz, Yeny Concha-Cisternas, Guillermo Méndez-Rebolledo, Manuel Vásquez-Muñoz, Pablo Valdés-Badilla, Tomás Herrera-Valenzuela, Cristian Núñez-Espinosa, Jordan Hernández-Martínez Journal of Functional Morphology and Kinesiology.2025; 10(1): 59. CrossRef
Prediction of hand grip strength using anthropometric indicators among older adults: Evidence from LASI data Biswajit Mahapatra, Bharathi Karri Journal of Bodywork and Movement Therapies.2025; 43: 284. CrossRef
Obesity impact on leukocyte telomere shortening and immune aging assessed by Mendelian randomization and transcriptomics analysis Zhijun Feng, Jiacheng Li, Huimin Zhang, Shupeng Liu, Yinghui Wang, Meijuan Zhou, Zhenhua Ding, Lin Xiao Scientific Reports.2025;[Epub] CrossRef
Delayed activation of ankle muscles in young adults with excess adiposity Eduardo Guzmán-Muñoz, Yeny Concha Cisternas, Franco Herrera-Meza, Ignacio Luna-Jara, Pablo Valdés-Badilla, Jordan Hernández-Martínez, Rodrigo Yáñez-Sepúlveda, Felipe Montalva-Valenzuela Nutrición Hospitalaria.2025;[Epub] CrossRef
Excess Body Fat and Associated Factors in 7‐ to 10‐Year‐Old Schoolchildren in Florianópolis, Santa Catarina, Brazil: Trend Analysis of Four Cross‐Sectional Surveys, 2002–2019 Francisca Maria Carvalho Nascimento, Patrícia de Fragas Hinnig, Mayara Luiza Vermohlem Garcia, Francisco de Assis Guedes de Vasconcelos, Cristine Garcia Gabriel American Journal of Human Biology.2025;[Epub] CrossRef
Quadriceps muscle reaction time in obese children Eduardo Guzmán-Muñoz, Guillermo Mendez-Rebolledo, Sergio Sazo-Rodriguez, Joaquín Salazar-Méndez, Pablo Valdes-Badilla, Cristian Nuñez-Espinosa, Tomas Herrera-Valenzuela PeerJ.2024; 12: e17050. CrossRef
Blood Concentration of Macro- and Microelements in Women Who Are Overweight/Obesity and Their Associations with Serum Biochemistry Zuzana Knazicka, Maros Bihari, Ivona Janco, Lubos Harangozo, Julius Arvay, Anton Kovacik, Peter Massanyi, Branislav Galik, Jorge M. A. Saraiva, Marta Habanova Life.2024; 14(4): 465. CrossRef
Association of Anthropometric Adiposity Indices and Hand Grip Strength among Male Industrial Workers in Chennai, Tamil Nadu, India: A Cross-Sectional Study R. Durga Priyadarshini, D. Annette Beatrice Indian Journal of Occupational and Environmental M.2024; 28(1): 56. CrossRef
Anti-obesity effects of a standardized ethanol extract of Eisenia bicyclis by regulating the AMPK signaling pathway in 3T3-L1 cells and HFD-induced mice Young-Seo Yoon, Kyung-Sook Chung, Su-Yeon Lee, So-Won Heo, Ye-Rin Kim, Jong Kil Lee, Hyunjae Kim, Soyoon Park, Yu-Kyong Shin, Kyung-Tae Lee Food & Function.2024; 15(12): 6424. CrossRef
Changes in the prevalence of underweight, overweight, obesity and excessive adiposity among adolescents from Kraków (Poland) in the years 1983–2020 Paulina Artymiak, Magdalena Żegleń, Małgorzata Kowal, Agnieszka Woronkowicz, Łukasz Kryst American Journal of Human Biology.2023;[Epub] CrossRef
Tri-ponderal mass index as a screening tool for obesity prediction in children aged 6–9 years Yang Niu, Yajie Zhang, Jinye Sheng, Wenyi Lu, Ji Li, Xiaomeng Mao, Wei Cai, Qingya Tang, Xiuhua Shen, Yi Feng Frontiers in Endocrinology.2023;[Epub] CrossRef
Associations Between Body Composition, Leptin, and Vitamin D Varied by the Body Fat Percentage in Adolescents Rapheeporn Khwanchuea, Chuchard Punsawad Frontiers in Endocrinology.2022;[Epub] CrossRef
Psychiatric symptoms are not associated with circulating CRP concentrations after controlling for medical, social, and demographic factors Leandra K. Figueroa-Hall, Bohan Xu, Rayus Kuplicki, Bart N. Ford, Kaiping Burrows, T. Kent Teague, Sandip Sen, Hung-Wen Yeh, Michael R. Irwin, Jonathan Savitz, Martin P. Paulus Translational Psychiatry.2022;[Epub] CrossRef
Effects of School-Based Physical Activity Programs on Health-Related Physical Fitness of Korean Adolescents: A Preliminary Study Eui-Jae Lee, Wi-Young So, Hyun-Su Youn, Jooyoung Kim International Journal of Environmental Research an.2021; 18(6): 2976. CrossRef
Bone Health and Its Positive Relationships with Body Composition in Malaysian Schoolchildren: Findings from a Cross-Sectional Study Hui Chin Koo, Geok Pei Lim, Satvinder Kaur, Kai Quin Chan, Keh En Chan, Casey Chung, Michelle Wong, Ugunesh Danaselvam Children.2021; 8(7): 569. CrossRef
Obesity parameters in relation to lung function levels in a large Chinese rural adult population Xiang Zeng, Dongling Liu, Zhen An, Huijun Li, Jie Song, Weidong Wu Epidemiology and Health.2021; 43: e2021047. CrossRef
Современные подходы к оценке физического развития детей и подростков Zh.V. Sotnikova-Meleshkina, O.H. Zinchuk, O.Ya. Mikhalchuk CHILD`S HEALTH.2021; 16(1): 33. CrossRef
Changes to cardiovascular risk factors over 7 years: a prospective cohort study of in situ urbanised residents in the Chaoyang District of Beijing Zhe Li, Shicheng Yu, Xiaoyan Han, Jianjun Liu, Hongyan Yao BMJ Open.2020; 10(3): e033548. CrossRef
Effect of Body Fat Percentage on Muscle Damage Induced by High-Intensity Eccentric Exercise Eun-Jung Yoon, Jooyoung Kim International Journal of Environmental Research an.2020; 17(10): 3476. CrossRef
Body mass index and waist-to-hip ratio misclassification of overweight and obesity in Chinese military personnel Qingqing Zhu, Binbin Huang, Qiaoli Li, Liqian Huang, Wenbo Shu, Lin Xu, Qiongying Deng, Ziliang Ye, Chunyan Li, Peng Liu Journal of Physiological Anthropology.2020;[Epub] CrossRef
Identification of the most appropriate existing anthropometric index for home-based obesity screening in children and adolescents X.F. Ye, W. Dong, L.L. Tan, Z.R. Zhang, Y.L. Qiu, J. Zhang Public Health.2020; 189: 20. CrossRef
<sec>
<title>Objectives</title>
<p>This study compared foot arch height, plantar fascia thickness, a range of motion assessments of the ankle joint, strength of the ankle joint, plantar pressure, and balance between obese and normal weight young adults.</p></sec>
<sec>
<title>Methods</title>
<p>Fifty-two participants were required for the present study design to achieve 80% power, 0.8 effect size (η2), and an alpha level of 0.05. The participants were categorized to normal weight or obese groups based on BMI (≤ 24 kg/m<sup>2</sup> and ≥ 25 kg/m<sup>2</sup>, respectively). The foot and ankle disability index and Sport survey were completed by the participants before the measurements. Foot arch height was measured using the navicular drop test, and plantar fascia thickness was measured using ultrasound. Plantar pressure and balance tests were also conducted, followed by ankle joint range of motion and strength tests.</p></sec>
<sec>
<title>Results</title>
<p>Foot arch height and plantar fascia thickness was significantly higher in the obese group compared with the normal weight group (<italic>p</italic> < 0.01). There were significant differences in eversion of ankle strength, plantar pressure in the big toe and heel and anterior-posterior balance between normal and obese weight groups (<italic>p</italic> < 0.05).</p></sec>
<sec>
<title>Conclusion</title>
<p>Obese young adults had more abnormalities in the medial longitudinal arch, plantar fascia, and plantar pressure as well as weakened ankle eversion strength and balance problems compared with the normal weight group.</p></sec>
Citations
Citations to this article as recorded by
Foot arch morphology and lower-limb biomechanical characteristics in university students: a cross-sectional multifactorial analysis of 1,078 participants Zhiyi Xu, Yu Lin, Yiquan Chen, Jie Lu, Yihui Jiang, Jiahao He, Liyuan Yu, Wensheng Miao, Jinhui Yan, Xiangdong Wang Scientific Reports.2026;[Epub] CrossRef
Body Mass Index Predicts Function in Individuals With Plantar Fasciopathy: A Longitudinal Observational Study Fernanda Colen Milagres Brandão, Ana Paula Coelho Figueira Freire, Daniel Barreto Rabelo, Sabrina Oliveira Melo, Mario Efraín Recinos Mastahinich, Roberto Zambelli, Thales R. Souza, Rafael Z. Pinto Journal of Sport Rehabilitation.2025; 34(4): 380. CrossRef
RETRACTED: Infrared thermal radiation sensing based on image enhancement for simulating athletes’ balance ability: Thermal analysis of sports cells Lei Ma Thermal Science and Engineering Progress.2025; 59: 103274. CrossRef
Effectiveness of Core Exercises in Improving Foot Pressure Distribution and Postural Stability in Overweight Children: A Feasibility Trial
Kanu Goyal, Asir John Samuel, Aditi Popli, Manu Goyal Critical Reviews in Physical and Rehabilitation Me.2025; 37(2): 59. CrossRef
Effects of Instability Resistance Training on the Lower Limbs Biomechanical Response due to Arch Heights Xiaoyan YANG, Datao XU, Meizi WANG, Julien S. BAKER, Yuwei LIU, Huiyu ZHOU, Yaodong GU Advanced Biomedical Engineering.2025; 14: 260. CrossRef
TurkerNeXtV2: An Innovative CNN Model for Knee Osteoarthritis Pressure Image Classification Omer Esmez, Gulnihal Deniz, Furkan Bilek, Murat Gurger, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer Diagnostics.2025; 15(19): 2478. CrossRef
Immediate effect of the use of toe separators on dynamic balance and ankle range of motion: a pilot study Daniel González-Devesa, Alberto Hermo-Argibay, Nerea Blanco-Martínez, Carlos Ayán-Pérez The Physician and Sportsmedicine.2024; 52(4): 374. CrossRef
Altered gait patterns during arch important development period in children with persistent obesity: An experimental longitudinal study Luming Yang, Xinye Liu, Yuan Liu, Wenxiao Zheng, Wei Wang, Shiyang Yan Gait & Posture.2024; 111: 143. CrossRef
Foot health and physical fitness: investigating the interplay among flat feet, body balance, and performance in junior high school students Irma Febriyanti, Hari Setijono, Fransisca Januarumi Marhaendra Wijaya, I Dewa Made Aryananda Wijaya Kusuma Pedagogy of Physical Culture and Sports.2024; 28(3): 168. CrossRef
Arch-related alteration in foot loading patterns affected by the increasing extent of body mass index in children: A follow-up study Shiyang Yan, Yihong Zhao, Longbin Zhang, Luming Yang Gait & Posture.2023; 100: 247. CrossRef
Understanding foot conditions, morphologies and functions in children: a current review Hanhui Jiang, Qichang Mei, Yuan Wang, Junhao He, Enze Shao, Justin Fernandez, Yaodong Gu Frontiers in Bioengineering and Biotechnology.2023;[Epub] CrossRef
Analysis of Static and Dynamic Baropedographic Parameters in Post COVID-19 Patients Zofia Dzięcioł-Anikiej, Agnieszka Dakowicz, Monika Pociene, Janusz Dzięcioł, Anna Kuryliszyn-Moskal, Amanda Maria Kostro Acta Balneologica.2023; 65(5): 276. CrossRef
Correlation of Body Mass Index with Ankle Joint Range of Motion in Young Adults Rachna Rohatgi, Aditi Bhatnagar, Nirupma Gupta, Manjari Jain Journal of the Anatomical Society of India.2023; 72(3): 262. CrossRef
Characteristics of Plantar Pressure with Foot Postures and Lower Limb Pain Profiles in Taiwanese College Elite Rugby League Athletes Tong-Hsien Chow, Yih-Shyuan Chen, Chin-Chia Hsu, Chin-Hsien Hsu International Journal of Environmental Research an.2022; 19(3): 1158. CrossRef
Traceable Features of Static Plantar Pressure Characteristics and Foot Postures in College Students with Hemiplegic Cerebral Palsy Tong-Hsien Chow Journal of Personalized Medicine.2022; 12(3): 394. CrossRef
Elite Tennis Players Experiencing High-Arched Supination and Cuboids Dropped Foot Syndromes in Daily Normal Gait Tong-Hsien Chow, Chin-Chia Hsu International Journal of Environmental Research an.2022; 19(15): 8897. CrossRef
Association between flat foot prevalence and nutritional status in schoolchildren Sonja Susnjevic, Dragana Milijasevic, Dusica Maric, Olja Niciforovic-Surkovic, Vesna Mijatovic-Jovanovic, Snezana Ukropina Srpski arhiv za celokupno lekarstvo.2022; 150(1-2): 59. CrossRef
Comparison of Foot Posture, Joint Position Sense, Dynamic Balance,
and Plantar Pressure between Young Adults with and without
Obesity Min-Hyeok Kang, Dong-Chul Moon, Du-Jin Park Journal of Musculoskeletal Science and Technology.2022; 6(2): 58. CrossRef
Relationship between total weight-bearing response of the navicular and talus bones and weight-bearing response of hindfoot valgus in normal foot arch Masafumi Maruyama, Arito Yozu, Yoshikazu Okamoto, Hitoshi Shiraki The Journal of Physical Fitness and Sports Medicin.2021; 10(2): 75. CrossRef
Effects of Two Foot-Ankle Interventions on Foot Structure, Function, and Balance Ability in Obese People with Pes Planus Du-Jin Park, Kyung-Sun Lee, Se-Yeon Park Healthcare.2021; 9(6): 667. CrossRef
An Investigation of Regional Plantar Soft Tissue Hardness and Its Potential Correlation with Plantar Pressure Distribution in Healthy Adults Maimaitirexiati Helili, Xiang Geng, Xin Ma, Wenming Chen, Chao Zhang, Jiazhang Huang, Xu Wang, Estefanía Peña Applied Bionics and Biomechanics.2021; 2021: 1. CrossRef
Relationships between Plantar Pressure Distribution and Rearfoot Alignment in the Taiwanese College Athletes with Plantar Fasciopathy during Static Standing and Walking Tong-Hsien Chow, Yih-Shyuan Chen, Chin-Chia Hsu International Journal of Environmental Research an.2021; 18(24): 12942. CrossRef
Three-Dimensional Ankle Exercise with Combined Isotonic Technique for an Obese Subject with Plantar Fasciitis: A Case Study Kyung-Sun Lee, Du-Jin Park Medicina.2020; 56(4): 190. CrossRef
Mixed factors affecting plantar pressures and center of pressure in obese children: Obesity and flatfoot Shiyang Yan, Ruoyi Li, Bi Shi, Ruoli Wang, Luming Yang Gait & Posture.2020; 80: 7. CrossRef
Body weight-dependent foot loads, assessed in terms of BMI and adiposity, in school-aged children: a cross sectional study Beata Szczepanowska-Wolowiec, Paulina Sztandera, Ireneusz Kotela, Marek Zak Scientific Reports.2020;[Epub] CrossRef
The Impact of Overweight and Obesity on Plantar Pressure in Children and Adolescents: A Systematic Review Liliana Catan, Elena Amaricai, Roxana Ramona Onofrei, Calin Marius Popoiu, Emil Radu Iacob, Corina Maria Stanciulescu, Simona Cerbu, Delia Ioana Horhat, Oana Suciu International Journal of Environmental Research an.2020; 17(18): 6600. CrossRef
Standard reference values of weight and maximum pressure distribution in healthy adults aged 18–65 years in Germany D. Ohlendorf, K. Kerth, W. Osiander, F. Holzgreve, L. Fraeulin, H. Ackermann, D. A. Groneberg Journal of Physiological Anthropology.2020;[Epub] CrossRef
<sec>
<title>Objectives</title>
<p>To describe the distribution of social factors, lifestyle habits and anthropometric measurements according to hypertension and Type-2 diabetes.</p></sec>
<sec>
<title>Methods</title>
<p>A cross-sectional study was conducted in Gaza City, Palestine that included 379 patients (20–60 years) who had hypertension and/or diabetes. Three groups of patients were involved; 106 hypertensive (HT), 109 diabetic (T2DM) and 164 hypertensive diabetics (HT + T2DM).</p></sec>
<sec>
<title>Results</title>
<p>The HT + T2DM group were older and had a higher body mass index compared to HT and T2DM groups. There were 62.3% patients who were female, 49.2% were highly educated HT patients, and 49.3% patients had a low level of education and were HT + T2DM. There were 55.8% patients who lived in large families. Patients who were passive smokers or never smoked before were mostly HT + T2DM, while active smokers and past smokers had T2DM. There were 48.2% patients who were highly physically active who had HT, 40.9% whom were moderately active had T2DM, and 53.8% of patients who had a low level of activity were HT + T2DM. Multivariate linear regression showed that having a diseased mother, living in a large family, being a past or passive smoker, or never having smoked, having a low or moderate level of activity, and having HT or HT + T2DM, were significantly associated with an increased body mass index.</p></sec>
<sec>
<title>Conclusion</title>
<p>Parental health/disease conditions and environmental factors (social network and lifestyle habits) played the greatest role in the development of obesity and disease.</p></sec>
Citations
Citations to this article as recorded by
Barriers and facilitators of lifestyle management among diabetic patients in palestine: a qualitative exploration of physician perspectives Alzahra Hamdan, Fatima Al Hanini, Therese Zink, Beesan Maraqa Discover Health Systems.2025;[Epub] CrossRef
Continuity of Chronic Disease Care in Gaza: a Commentary on Health System Collapse and Humanitarian Imperatives Mohd Sharique Katchhi, Long Chiau Ming Journal of Epidemiology and Global Health.2025;[Epub] CrossRef
Factors associated with physical inactivity among Palestinians with type 2 diabetes mellitus treated in resource-limited settings Ramzi Shawahna, Mohammad Jaber, Arob Zmiro, Sewar Kashkoush Scientific Reports.2024;[Epub] CrossRef
Time trends in Alzheimer’s disease mortality attributable to metabolic risks and smoking in China from 1990 to 2019: an age-period-cohort analysis Simeng Sun, Ting Zhang, Hao Yu, Ting Xia, Yunan Yao, Mengting Sun, Hongmei Liang, Qiaoyu Huang, Weiwei Wang, Huafeng Yang, Xin Hong Frontiers in Aging Neuroscience.2024;[Epub] CrossRef
Prevalence of hypertension and its associated factors among healthcare workers in the Gaza Strip, Palestine: a cross-sectional study Joma Younis, Lina Wang, Kejing Zhang, Majed Jebril, Hong Jiang, Yahui Fan, Zhaofang Li, Mei Ma, Le Ma, Zhaozhao Hui, Mao Ma, Wei Zhang BMJ Open.2024; 14(12): e076577. CrossRef
Analysis of the nutritional status in the Palestinian territory: a review study Enas A. Assaf, Haleama Al Sabbah, Ayoub Al-Jawadleh Frontiers in Nutrition.2023;[Epub] CrossRef
The hypertension cascade of care in the midst of conflict: the case of the Gaza Strip Bassam A. Abu Hamad, Zeina Jamaluddine, Gloria Safadi, Marie-Elizabeth Ragi, Raeda El Sayed Ahmad, Eszter P. Vamos, Sanjay Basu, John S. Yudkin, Mohammed Jawad, Christopher Millett, Hala Ghattas Journal of Human Hypertension.2022; 37(10): 957. CrossRef
Association between endothelial nitric oxide synthase and the renin-angiotensin-aldosterone system polymorphisms, blood pressure and training status in normotensive/pre-hypertension and hypertensive older adults: a pilot study Roberta Fernanda da Silva, Riccardo Lacchini, Lucas Cezar Pinheiro, Letícia Perticarrara Ferezin, José Eduardo Tanus-Santos, Marcelo Rizzatti Luizon, Thiago José Dionísio, Carlos Ferreira Santos, Thaís Amanda Reia, André Mourão Jacomini, Ana Maria Guilmo Clinical and Experimental Hypertension.2021; 43(7): 661. CrossRef
Breakfast characteristics, perception, and reasons of skipping among 8th and 9th-grade students at governmental schools, Jenin governance, West Bank Manal Badrasawi, Ola Anabtawi, Yaqout Al-Zain BMC Nutrition.2021;[Epub] CrossRef
Advanced Molecular Imaging (MRI/MRS/1H NMR) for Metabolic Information in Young Adults with Health Risk Obesity Khin Thandar Htun, Jie Pan, Duanghathai Pasanta, Montree Tungjai, Chatchanok Udomtanakunchai, Thanaporn Petcharoen, Nattacha Chamta, Supak Kosicharoen, Kiattisak Chukua, Christopher Lai, Suchart Kothan Life.2021; 11(10): 1035. CrossRef
Prevalence and Predictors of Co-occurring Hypertension and Depression Among Community-Dwelling Older Adults Cicily A. Gray, Omar T. Sims, Hyejung Oh Journal of Racial and Ethnic Health Disparities.2020; 7(2): 365. CrossRef
Prevalence of Type 2 Diabetes and Its Association with Added Sugar Intake in Citizens and Refugees Aged 40 or Older in the Gaza Strip, Palestine Majed Jebril, Xin Liu, Zumin Shi, Mohsen Mazidi, Akram Altaher, Youfa Wang International Journal of Environmental Research an.2020; 17(22): 8594. CrossRef
<sec>
<title>Objectives</title>
<p>This study was designed to investigate factors affecting the discordance between body image and body mass index amongst Korean adults aged 19–39 years.</p></sec>
<sec>
<title>Methods</title>
<p>Data (<italic>N</italic> = 59,361) from the 2014 Korean Community Health Survey was analyzed using descriptive analysis, chi-square test, and logistic regression analysis.</p></sec>
<sec>
<title>Results</title>
<p>To examine the factors affecting body image discordance as observed in 43.1% of participants, the group was subdivided into underestimation and overestimation. There were 36.0% of participants that were body image discordant underestimators and 7.1% were overestimators. Multivariate logistic regression analysis showed that the underestimators tended to be men, graduated from high school, married, current/ex-smokers, ex-drinkers, had between 5 to 9 hours sleep (inclusive), had fair to good self-rated health, and demonstrated healthy weight control behavior, relative to the reference group. In comparison, overestimators tended to be in the 19–29 year group and had signs of depression. The OR of individuals who were men, married, and had healthy weight control behavior was significantly lower in the overestimators group.</p></sec>
<sec>
<title>Conclusion</title>
<p>These findings show that tailored interventions to promote accurate body awareness should be based on the type of body image discordance. In addition, it is necessary to develop and implement a program of body image improvement that considers the factors affecting body weight discordance.</p></sec>
Citations
Citations to this article as recorded by
Body image in adolescents Jelena Rakic, Biljana Kilibarda, Milos Maksimovic Hrana i ishrana.2025; 66(1): 1. CrossRef
Association of body image perception and (dis)satisfaction with adiposity in adults: The Pró-Saúde study Magno C. Cabral, Gabriela M. O. Coelho, Natalia Oliveira, Daniela S. Canella, Raiane L. O. Brasil, Tatiana A. M. Campos, Eduardo Faerstein, Flávia F. Bezerra, Neftali Eduardo Antonio-Villa PLOS ONE.2024; 19(6): e0304987. CrossRef
A Life-Stage Approach to Precision Nutrition: A Narrative Review Yeong Sook Yoon, Hye In Lee, Sang Woo Oh Cureus.2024;[Epub] CrossRef
Correlates of orthorexia nervosa in a sample of Lebanese adolescents: the co-moderating effect of body dissatisfaction and self-esteem between mental health issues and orthorexia nervosa Mariam Mhanna, Reine Azzi, Souheil Hallit, Sahar Obeid, Michel Soufia Vulnerable Children and Youth Studies.2023; 18(4): 610. CrossRef
Body Self-Perception, Dietary Self-Efficacy, and Body Mass Index in Young Adults: A Cross-Sectional Survey Diana Beatriz Ramirez Luque, Neirru L Rocha Huaman, Yaquelin E Calizaya-Milla, Sergio E Calizaya-Milla, Cristian Ramos-Vera, Jacksaint Saintila International Journal of General Medicine.2023; Volume 16: 193. CrossRef
Awareness of body mass index and its associated factors: A cross‐sectional study Yong Kang Cheah, Kuang Kuay Lim, Hasimah Ismail, Ruhaya Salleh, Chee Cheong Kee, Kuang Hock Lim, Yoon Ling Cheong Nursing & Health Sciences.2022; 24(3): 726. CrossRef
Gender differences in factors associated with body weight misperception Su Yeon Kye, Keeho Park Public Health Nutrition.2021; 24(9): 2483. CrossRef
Body Schema Self-Awareness and Related Dream Content Modifications in Amputees Due to Cancer Alessandra Giordano, Michele Boffano, Raimondo Piana, Roberto Mutani, Alessandro Cicolin Brain Sciences.2021; 11(12): 1625. CrossRef
Body image before and after coronary artery bypass graft surgery: comparison and its contributing factors Mohsen Adib-Hajbaghery, Sedigheh Miranzadeh, Mahsa Tahmouresi, Ismail Azizi-Fini BMC Psychology.2020;[Epub] CrossRef
Correlations between Excessive Body Mass Index, Body Perception, Physical Activity, and Respiratory Functions among Youths in an Urban Setting of Vietnam Lan. P. T. Nguyen, Bach X. Nguyen, Tam T. Ngo, Yen H. N. Nguyen, Hang T. Phan, Kazim Husain BioMed Research International.2020;[Epub] CrossRef
Weight underestimation linked to anxiety and depression in a cross-sectional study of overweight individuals in a Sami and non-Sami Norwegian population: the SAMINOR Study Kirsti Kvaløy, Marita Melhus, Anne Silviken, Ann Ragnhild Broderstad BMJ Open.2019; 9(11): e031810. CrossRef
<sec>
<title>Objectives</title>
<p>To investigate the effect of smoking upon cardiopulmonary function, maximal oxygen uptake, and obesity index, in middle-aged and older workers to propose guidelines on healthcare for these age groups.</p></sec>
<sec>
<title>Methods</title>
<p>This study analyzed medical data from 2,753 white-collar workers aged 50 years or older from workplaces located in Seoul, South Korea. Blood pressure (BP), resting heart rate, maximal oxygen uptake (VO<sub>2</sub>max), and body mass index (BMI) of each subject were measured. The collected data were analyzed using SPSS 21.0.</p></sec>
<sec>
<title>Results</title>
<p>In the smoking group BP and resting heart rate were significantly higher than in the non-smoking and smoking-cessation groups (<italic>p</italic> < 0.05). In addition, VO<sub>2</sub>max was lower in the smoking group compared to the other 2 groups. BP closely correlated with resting heart rate, abdominal fat ratio, and BMI. BMI was the highest in the group that stopped smoking and, BMI and abdominal fat ratio negatively correlated with VO<sub>2</sub>max.</p></sec>
<sec>
<title>Conclusion</title>
<p>Smoking increases the risk of cardiopulmonary disease but obesity may be caused by stopping smoking. Therefore, healthcare guidelines on smoking cessation should also include nutritional advice.</p></sec>
Citations
Citations to this article as recorded by
Improved aerobic capacity in a randomized controlled trial of noncombustible nicotine and tobacco products Lucia Spicuzza, Francesco Pennisi, Grazia Caci, Fabio Cibella, Davide Campagna, Yusuff A. Adebisi, Claudio Saitta, Jacob George, Giulio Geraci, Riccardo Polosa Scientific Reports.2025;[Epub] CrossRef
Smoking Status on Bone Health and Osteoporosis Prevalence Vu H. Nguyen Osong Public Health and Research Perspectives.2018; 9(4): 213. CrossRef
<sec>
<title>Objectives</title>
<p>The purpose of this study was to evaluate hypertension with simple anthropometry data related to obesity in Korean adults and identify whether age specific waist circumference (WC) may be a useful screening tool for determining hypertension.</p></sec>
<sec>
<title>Methods</title>
<p>Subjects (<italic>n</italic> = 571) were classified into 3 groups by age; young (18–39 years), middle aged (40–64 years), and old aged (≥ 65 years). Correlations between demographic and anthropometric parameters and hypertension were performed using Spearman correlation analysis. Logistic regression analysis and ROC (receiver operating characteristics) curves were also analyzed for correlations with hypertension.</p></sec>
<sec>
<title>Results</title>
<p>Spearman correlation analyses, age, gender, WC, and body mass index were positively correlated with hypertension. When logistic regression analysis was performed, increased age and increased WC was associated with a higher incidence of hypertension, although gender and body mass index were not significantly related to hypertension. In ROC analysis of WC for hypertension demonstrated that patients in the old age group showed higher WC cutoff value than patients in the young and middle aged groups.</p></sec>
<sec>
<title>Conclusion</title>
<p>The findings of this study demonstrate that WC may be a useful predictor of hypertension incidence among demographic and anthropometric factors in Korean adults. In addition, WC in the young population was more sensitive to the incidence of hypertension than in the elderly population.</p></sec>
Citations
Citations to this article as recorded by
Body Mass Index and Waist Circumference Associations with Blood Pressure Bea Uljannatun Putri Fisis Paramanandi, Sri Lestari Utami, Jimmy Hadi Widjaja, Febtarini Rahmawati Academia Open.2026;[Epub] CrossRef
The accuracy of anthropometric indices in detecting hypertension in Sudanese adults: a cross-sectional study Imad R. Musa, Osman E. Osman, Ahmed M. Khair, Ishag Adam BMC Public Health.2025;[Epub] CrossRef
A hybrid machine learning approach for hypertension risk prediction Min Fang, Yingru Chen, Rui Xue, Huihui Wang, Nilesh Chakraborty, Ting Su, Yuyan Dai Neural Computing and Applications.2023; 35(20): 14487. CrossRef
Relationship between Cardiometabolic Factors and the Response of Blood Pressure to a One-Year Primary Care Lifestyle Intervention in Metabolic Syndrome Patients Elisa Marin-Couture, Marie-Josée Filion, Ryma Boukari, Khursheed Jeejeebhoy, Rupinder Dhaliwal, Paula Brauer, Dawna Royall, David M. Mutch, Doug Klein, Angelo Tremblay, Caroline Rhéaume Metabolites.2022; 12(9): 861. CrossRef
The Role of Lifestyle Factors in Controlling Blood Pressure among Hypertensive Patients in Two Health Facilities in Urban Ghana: A Cross-Sectional Study Emefa Modey Amoah, Darlene Esinam Okai, Adom Manu, Amos Laar, Joseph Akamah, Kwasi Torpey International Journal of Hypertension.2020; 2020: 1. CrossRef
Obesity and hypertension: the role of criteria D P Tsygankova, K E Krivoshapova, S A Maksimov, E V Indukaeva, E B Shapovalova, G V Artamonova, O L Barbarash Systemic Hypertension.2019; 16(1): 32. CrossRef
Watch Your Waistline Hae-Wol Cho, Chaeshin Chu Osong Public Health and Research Perspectives.2018; 9(2): 43. CrossRef
First
Prev
