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Wang YQ, Wu TT, Li Y, Cui SE, Li YS. Global research trends and hotspots in overweight/obese comorbid with depression among children and adolescents: A bibliometric analysis. World J Psychiatry 2024; 14:1267-1284. [PMID: 39165557 PMCID: PMC11331393 DOI: 10.5498/wjp.v14.i8.1267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 07/21/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Overweight/obesity combined with depression among children and adolescents (ODCA) is a global concern. The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity. Childhood and adolescence represent critical periods for physical and psychological development, during which the comorbidity of overweight/obesity and depression may increase the risk of adverse health outcomes. AIM To evaluate the relationship between ODCA, we conduct a bibliometric analysis to aid in formulating prevention and treatment strategies. METHODS From 2004 to 2023, articles related to ODCA were selected using the Science Citation Index Expanded from the Web of Science Core Collection. Bibliometric analysis of relevant publications, including countries/regions, institutions, authors, journals, references, and keywords, was conducted using the online bibliometric analysis platforms, CiteSpace, VOSviewer, and bibliometrix. RESULTS Between 2004 and 2023, a total of 1573 articles were published on ODCA. The United States has made leading contributions in this field, with Harvard University emerging as the leading contributor in terms of research output, and Tanofsky being the most prolific author. The J Adolescent Health has shown significant activity in this domain. Based on the results of the keyword and reference analyses, inequality, adverse childhood experiences, and comorbidities have become hot topics in ODCA. Moreover, the impact of balanced-related behavior and exploration of the biological mechanisms, including the potential role of key adipocytokines and lipokines, as well as inflammation in ODCA, have emerged as frontier topics. CONCLUSION The trend of a significant increase in ODCA publications is expected to continue. The research findings will contribute to elucidating the pathogenic mechanisms of ODCA and its prevention and treatment.
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Affiliation(s)
- Ya-Qi Wang
- College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310051, Zhejiang Province, China
| | - Tao-Tao Wu
- College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310051, Zhejiang Province, China
| | - Yan Li
- National Institute of Traditional Chinese Medicine Constitution and Preventive Treatment of Diseases, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Shi-En Cui
- National Institute of Traditional Chinese Medicine Constitution and Preventive Treatment of Diseases, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Ying-Shuai Li
- National Institute of Traditional Chinese Medicine Constitution and Preventive Treatment of Diseases, Beijing University of Chinese Medicine, Beijing 100029, China
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Li LY, Li SM, Pang BX, Wei JP, Wang QH. Effects of exercise training on glucose metabolism indicators and inflammatory markers in obese children and adolescents: A meta-analysis. World J Diabetes 2024; 15:1353-1366. [PMID: 38983830 PMCID: PMC11229972 DOI: 10.4239/wjd.v15.i6.1353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 02/07/2024] [Accepted: 03/26/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Obesity in children and adolescents is a serious problem, and the efficacy of exercise therapy for these patients is controversial. AIM To assess the efficacy of exercise training on overweight and obese children based on glucose metabolism indicators and inflammatory markers. METHODS The PubMed, Web of Science, and Embase databases were searched for randomized controlled trials related to exercise training and obese children until October 2023. The meta-analysis was conducted using RevMan 5.3 software to evaluate the efficacy of exercise therapy on glucose metabolism indicators and inflammatory markers in obese children. RESULTS In total, 1010 patients from 28 studies were included. Exercise therapy reduced the levels of fasting blood glucose (FBG) [standardized mean difference (SMD): -0.78; 95% confidence interval (CI): -1.24 to -0.32, P = 0.0008], fasting insulin (FINS) (SMD: -1.55; 95%CI: -2.12 to -0.98, P < 0.00001), homeostatic model assessment for insulin resistance (HOMA-IR) (SMD: -1.58; 95%CI: -2.20 to -0.97, P < 0.00001), interleukin-6 (IL-6) (SMD: -1.31; 95%CI: -2.07 to -0.55, P = 0.0007), C-reactive protein (CRP) (SMD: -0.64; 95%CI: -1.21 to -0.08, P = 0.03), and leptin (SMD: -3.43; 95%CI: -5.82 to -1.05, P = 0.005) in overweight and obese children. Exercise training increased adiponectin levels (SMD: 1.24; 95%CI: 0.30 to 2.18, P = 0.01) but did not improve tumor necrosis factor-alpha (TNF-α) levels (SMD: -0.80; 95%CI: -1.77 to 0.18, P = 0.11). CONCLUSION In summary, exercise therapy improves glucose metabolism by reducing levels of FBG, FINS, HOMA-IR, as well as improves inflammatory status by reducing levels of IL-6, CRP, leptin, and increasing levels of adiponectin in overweight and obese children. There was no statistically significant effect between exercise training and levels of TNF-α. Additional long-term trials should be conducted to explore this therapeutic perspective and confirm these results.
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Affiliation(s)
- Le-Yang Li
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Song-Mei Li
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Bo-Xian Pang
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Jun-Ping Wei
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Qiu-Hong Wang
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
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Bizjak DA, Ammerpohl O, Schulz SV, Wendt J, Steinacker JM, Flechtner-Mors M. Pro-inflammatory and (Epi-)genetic markers in saliva for disease risk in childhood obesity. Nutr Metab Cardiovasc Dis 2022; 32:1502-1510. [PMID: 35450790 DOI: 10.1016/j.numecd.2022.03.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND AIM Childhood obesity is an emerging problem often leading to earlier onset of non-communicable diseases in later life. Biomarkers to identify individual risk scores are insufficient in routine clinical practice, which is related to the need for easily sampled, non-invasive survey methods in children. We aimed to investigate and strengthen possible pro-inflammatory markers and epigenetic risk factors in saliva of obese children compared to lean controls. METHODS AND RESULTS 19 overweight/obese (OC, 10.1 ± 1.9 years, BMI 27.7 ± 3.2 kg/m2) and 19 lean control children (CC, 9.7 ± 2.5 years, BMI 16.4 ± 1.8 kg/m2) participated in this explorative pilot study. Anthropometric measures, saliva and cheek swab samples were taken. Saliva profiles were examined for acute phase proteins (CRP and neopterin) and pro-inflammatory cytokines (IL-17a/IL-1β/IL-6). Cheek swabs were analyzed to investigate DNA methylation differences with subsequent hierarchical cluster and principal component analyses (PCA). Saliva analysis showed significant increased CRP concentrations in OC compared to CC (p < 0.001). There were no significant differences, but high intra-individual values in neopterin, IL-17a, IL-1β and IL-6. An unsupervised PCA of CpG loci with high variance (σ/σmax > 0.2) clearly separated OC and CC according to their methylation pattern. Furthermore, a supervised approach revealed 7125 significantly differentially methylated loci, whose corresponding genes were significantly enriched for genes playing roles in e.g., cellular signalling, cytoskeleton organization and cell motility. CONCLUSIONS CRP and methylation status determinations in saliva are suitable as non-invasive methods for early detection of risks for non-communicable diseases in children/adolescents and might be a useful supplementary approach in the routine clinical practice/monitoring.
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Affiliation(s)
- Daniel A Bizjak
- Ulm University Hospital, Division of Sports and Rehabilitation Medicine, 89075 Ulm, Germany.
| | - Ole Ammerpohl
- Institute for Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Sebastian Vw Schulz
- Ulm University Hospital, Division of Sports and Rehabilitation Medicine, 89075 Ulm, Germany
| | - Janine Wendt
- Ulm University Hospital, Division of Sports and Rehabilitation Medicine, 89075 Ulm, Germany
| | - Jürgen M Steinacker
- Ulm University Hospital, Division of Sports and Rehabilitation Medicine, 89075 Ulm, Germany
| | - Marion Flechtner-Mors
- Ulm University Hospital, Division of Sports and Rehabilitation Medicine, 89075 Ulm, Germany
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Desdentado L, Navarrete J, Folgado-Alufre M, de Blas A, Navarro-Siurana J, Ponce F, Molinari G, Jimeno-Martínez A, Rupérez AI, Bueno-Lozano G, Cuenca-Royo A, Corbella E, Agüera Z, Baños RM, Álvarez-Pitti J. Are Peripheral Biomarkers Determinants of Eating Styles in Childhood and Adolescence Obesity? A Cross-Sectional Study. Nutrients 2022; 14:305. [PMID: 35057485 PMCID: PMC8780085 DOI: 10.3390/nu14020305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 11/24/2021] [Accepted: 11/30/2021] [Indexed: 02/04/2023] Open
Abstract
Disturbances in eating behaviors have been widely related to obesity. However, little is known about the role of obesity-related biomarkers in shaping habitual patterns of eating behaviors (i.e., eating styles) in childhood. The objective of the present study was to explore the relationships between several biomarkers crucially involved in obesity (ghrelin, insulin resistance, and leptin/adiponectin ratio) and eating styles in children and adolescents with obesity. Seventy participants aged between 8 and 16 (56.2% men) fulfilled the Spanish version of the Dutch Eating Behavior Questionnaire for Children to measure external, emotional, and restrained eating styles. In addition, concentrations of ghrelin, leptin, adiponectin, insulin, and glucose were obtained through a blood test. Hierarchical multiple regression analyses controlling for age and sex were computed for each eating style. Results indicated that individuals with higher ghrelin concentration levels showed lower scores in restrained eating (β = -0.61, p < 0.001). The total model explained 32% of the variance of the restrained pattern. No other relationships between obesity-related biomarkers and eating behaviors were found. This study highlights that one of the obesity-risk factors, namely lower plasma ghrelin levels, is substantially involved in a well-known maladaptive eating style, restraint eating, in childhood obesity.
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Affiliation(s)
- Lorena Desdentado
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Avda. Blasco Ibañez, 21, 46010 Valencia, Spain
| | - Jaime Navarrete
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
| | - María Folgado-Alufre
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Avda. Blasco Ibañez, 21, 46010 Valencia, Spain
| | - Ana de Blas
- Pediatric Department, Consorcio Hospital General Universitario de Valencia, Avda. Tres Cruces, 2, 46014 Valencia, Spain;
| | - Jéssica Navarro-Siurana
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
| | - Francisco Ponce
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Pediatric Department, Consorcio Hospital General Universitario de Valencia, Avda. Tres Cruces, 2, 46014 Valencia, Spain;
| | - Guadalupe Molinari
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
| | - Andrea Jimeno-Martínez
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facultad de Ciencias de la Salud, Instituto Agroalimentario de Aragón, Universidad de Zaragoza, Calle Miguel Servet, 177, 50013 Zaragoza, Spain
| | - Azahara I. Rupérez
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facultad de Ciencias de la Salud, Instituto Agroalimentario de Aragón, Universidad de Zaragoza, Calle Miguel Servet, 177, 50013 Zaragoza, Spain
| | - Gloria Bueno-Lozano
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facultad de Ciencias de la Salud, Instituto Agroalimentario de Aragón, Universidad de Zaragoza, Calle Miguel Servet, 177, 50013 Zaragoza, Spain
- Paediatric Endocrinology Department, Clinical Hospital Lozano Blesa, Zaragoza, Avda. San Juan Bosco, 50009 Zaragoza, Spain
| | - Aida Cuenca-Royo
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain
| | - Emili Corbella
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Cardiovascular Risk Unit, Internal Medicine Department, Bellvitge University Hospital—IDIBELL, Feixa Llarga, s/n, 08907 Barcelona, Spain
| | - Zaida Agüera
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Department of Public Health, Mental Health and Perinatal Nursing, Health Sciences Campus Bellvitge, School of Nursing, University of Barcelona, Feixa Llarga, s/n, 08907 Barcelona, Spain
| | - Rosa M. Baños
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Avda. Blasco Ibañez, 21, 46010 Valencia, Spain
| | - Julio Álvarez-Pitti
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Pediatric Department, Consorcio Hospital General Universitario de Valencia, Avda. Tres Cruces, 2, 46014 Valencia, Spain;
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