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Borle AL, Gangadharan N, Basu S. Lifestyle practices predisposing adolescents to non communicable diseases in Delhi. DIALOGUES IN HEALTH 2022; 1:100064. [PMID: 38515919 PMCID: PMC10954009 DOI: 10.1016/j.dialog.2022.100064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 10/21/2022] [Accepted: 10/23/2022] [Indexed: 03/23/2024]
Abstract
Background Globally the prevalence of non- communicable diseases is on a rise. Adolescents are vulnerable to such diseases later on in life because of the susceptibility to behavioural risk factors like insufficient physical activity, unhealthy dietary practices and tobacco and alcohol consumption during this transition stage of their life. Adolescents who are from low-income families are also at increased risk of dual states of malnutrition such as underweight and obesity. So, this study aimed to estimate the prevalence of such behavioural risk factors among adolescents of low-income urban areas of Delhi. Methodology A cross-sectional study was conducted among 264 adolescents (10-19 years) of low-income Urban areas of Delhi. Results A total of 122 (46.2%) boys and 142 (53.8%) girls were enrolled in the study. The mean age of adolescents were 14.2 ± 2.4 years. The most prevalent NCD risk factor was physical inactivity (98.1% [96.4-99.7])). The screen time for television was significantly higher among boys than girls (p value 0.022). An age stratified analysis of risk factors showed that the intake of carbonated drinks (p value 0.026) and social media utilisation time (p value 0.037) was significantly higher among late adolescent boys (≥15 years) compared to early adolescents. Conclusion There is high prevalence of physical inactivity and unhealthy dietary behaviours among adolescents which could be a warning sign for prompt actions as they are at risk of NCD in future. Hence healthier practices should be promoted among adolescents at community level.
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Affiliation(s)
- Amod L. Borle
- Department of Community Medicine, Maulana Azad Medical College, Bahadur Shah Zafar Maarg, New Delhi 110002, India
| | - Navya Gangadharan
- Department of Community Medicine, Maulana Azad Medical College, Bahadur Shah Zafar Maarg, New Delhi 110002, India
| | - Saurav Basu
- Public Health Foundation of India, New Delhi, India
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A Mediterranean-Diet-Based Nutritional Intervention for Children with Prediabetes in a Rural Town: A Pilot Randomized Controlled Trial. Nutrients 2022; 14:nu14173614. [PMID: 36079871 PMCID: PMC9460785 DOI: 10.3390/nu14173614] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 12/26/2022] Open
Abstract
Prediabetes is a pathological condition in which the blood glucose concentration is higher than normal concentrations but lower than those considered necessary for a type 2 diabetes mellitus diagnosis. Various authors have indicated that the Mediterranean Diet is one of the dietary patterns with the most healthy outcomes, reducing high levels of HbA1c, triglycerides, BMI, and other anthropometric parameters. The main objective of this study was to determine the efficacy of the nutritional intervention for children with prediabetes, including the effectiveness of this nutritional education regarding anthropometric parameters. A randomized pilot trial with two groups, an experimental group (EG) and a control group (CG), using intervention in dietary habits with nutritional reinforcement was carried out on 29 children with prediabetes from a rural area. The nutritional intervention was analyzed through astrophotometric and glycemic measurements and validated surveys. Results: The results indicated improvement in eating habits, adherence to the Mediterranean diet, anthropometric measurements, mainly body mass index and perimeters, and analytical parameters, with a significant decrease in glycated hemoglobin in the EG compared to the CG (p < 0.001). Although the results showed that both groups’ anthropometric parameters improved, a more significant decrease was observed in the experimental group compared to the control.
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Pouragha H, Amiri M, Saraei M, Pouryaghoub G, Mehrdad R. Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome. J Diabetes Metab Disord 2021; 20:1169-1178. [PMID: 34277496 PMCID: PMC8275900 DOI: 10.1007/s40200-021-00836-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Accepted: 06/16/2021] [Indexed: 12/16/2022]
Abstract
Aim Metabolic syndrome is one of the outcomes of a sedentary lifestyle in the modern world. In this study, we want to introduce the predictors of metabolic syndrome using anthropometric indices and Bio-Electrical Impedance Analysis (BIA) test values. Method This cross-sectional study was performed on 2284 employees of Tehran University of Medical Sciences in different job categories. Metabolic syndrome was determined according to IDF criteria. Anthropometric dimensions, para-clinical tests, basic information were collected from the participants. Also, the body analysis of the participants was performed using a BIA method. Result The prevalence of metabolic syndrome in this study was 23.2% based on IDF criteria, which was 21% and 26.6% in men and women, respectively. The most important factor among the components of IDF criteria was HDL deficiency. In this study, neck circumference, fat mass, visceral fat, muscle mass percentage and waist to height ratio were observed as predictors of metabolic syndrome. Conclusion This study realized that there is association between fat mass, fat-free mass, visceral fat and muscle mass which all are some elements of body composition analysis and metabolic syndrome as a major health issue.
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Affiliation(s)
- Hamidreza Pouragha
- Center for Research on Occupational Diseases, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Amiri
- Occupational Medicine Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Saraei
- Department of Occupational Medicine, School of Medicine Baharlou Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Gholamreza Pouryaghoub
- Center for Research on Occupational Diseases, Tehran University of Medical Sciences, Tehran, Iran
| | - Ramin Mehrdad
- Center for Research on Occupational Diseases, Tehran University of Medical Sciences, Tehran, Iran
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Mathur P, Kulothungan V, Leburu S, Krishnan A, Chaturvedi HK, Salve HR, Amarchand R, Nongkynrih B, Ganeshkumar P, Urs K S V, Laxmaiah A, Boruah M, Kumar S, Patro BK, Raghav PR, Rajkumar P, Sarma PS, Sharma R, Tambe M, Arlappa N, Mahanta TG, Bhuyan PJ, Joshi RP, Pakhare A, Galhotra A, Kumar D, Behera BK, Topno RK, Gupta MK, Rustagi N, Trivedi AV, Thankappan KR, Gupta S, Garg S, Shelke SC. Baseline risk factor prevalence among adolescents aged 15-17 years old: findings from National Non-communicable Disease Monitoring Survey (NNMS) of India. BMJ Open 2021; 11:e044066. [PMID: 34187814 PMCID: PMC8245441 DOI: 10.1136/bmjopen-2020-044066] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE To generate national estimates of key non-communicable disease (NCD) risk factors for adolescents (15-17 years) identified in the National NCD Monitoring Framework and, study the knowledge, attitudes and practices towards NCD risk behaviours among school-going adolescents. DESIGN AND SETTING A community-based, national, cross-sectional survey conducted during 2017-2018. The survey was coordinated by the Indian Council of Medical Research-National Centre for Disease Informatics and Research with 10 reputed implementing research institutes/organisations across India in urban and rural areas. PARTICIPANTS A multistage sampling design was adopted covering ages between 15 and 69 years-adolescents (15-17 years) and adults (18-69 years). The sample included 12 000 households drawn from 600 primary sampling units. All available adolescents (15-17 years) from the selected households were included in the survey. MAIN OUTCOME MEASURES Key NCD risk factors for adolescents (15-17 years)-current tobacco and alcohol use, dietary behaviours, insufficient physical activity, overweight and obesity. RESULTS Overall, 1402 households and 1531 adolescents completed the survey. Prevalence of current daily use of tobacco was 3.1% (95% CI: 2.0% to 4.7%), 25.2% (95% CI: 22.2% to 28.5%) adolescents showed insufficient levels of physical activity, 6.2% (95% CI: 4.9% to 7.9%) were overweight and 1.8% (95% CI: 1.0% to 2.9%) were obese. Two-thirds reported being imparted health education on NCD risk factors in their schools/colleges. CONCLUSION The survey provides baseline data on NCD-related key risk factors among 15-17 years in India. These national-level data fill information gaps for this age group and help assess India's progress towards NCD targets set for 2025 comprehensively. Though the prevalence of select risk factors is much lower than in many developed countries, this study offers national evidence for revisiting and framing appropriate policies, strategies for prevention and control of NCDs in younger age groups.
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Affiliation(s)
- Prashant Mathur
- National Centre for Disease Informatics and Research, Bangalore, Karnataka, India
| | | | - Sravya Leburu
- National Centre for Disease Informatics and Research, Bangalore, Karnataka, India
| | - Anand Krishnan
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, Delhi, India
| | | | - Harshal Ramesh Salve
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, Delhi, India
| | - Ritvik Amarchand
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, Delhi, India
| | - Baridalyne Nongkynrih
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, Delhi, India
| | | | - Vinay Urs K S
- National Centre for Disease Informatics and Research, Bangalore, Karnataka, India
| | - A Laxmaiah
- Division of Public Health Nutrition, National Institute of Nutrition, Hyderabad, Telangana, India
| | - Manjit Boruah
- Department of Community Medicine, Assam Medical College and Hospital, Dibrugarh, Assam, India
| | - Sanjeev Kumar
- Department of Community and Family Medicine, All India Institute of Medical Sciences-Bhopal, Bhopal, Madhya Pradesh, India
| | - Binod Kumar Patro
- Department of Community and Family Medicine, All India Institute of Medical Sciences-Bhubaneswar, Bhubaneswar, Orissa, India
| | - Pankaja Ravi Raghav
- Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences Jodphur, Jodhpur, Rajasthan, India
| | - Prabu Rajkumar
- Division of Health Systems Research, National Institute of Epidemiology, Chennai, Tamil Nadu, India
| | - P Sankara Sarma
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Rinku Sharma
- Centre for Non-communicable Diseases, National Centre for Disease Control, New Delhi, Delhi, India
| | - Muralidhar Tambe
- Department of Community Medicine, BJ Government Medical College and Sasoon General Hospitals, Pune, Maharashtra, India
| | - N Arlappa
- Division of Public Health Nutrition, National Institute of Nutrition, Hyderabad, Telangana, India
| | - Tulika Goswami Mahanta
- Department of Community Medicine/Prevention and Social Medicine, Tezpur Medical College, Tezpur, Assam, India
| | - Pranab Jyoti Bhuyan
- Regional Director Office, Ministry of Health and Family Welfare, Guwahati, Assam, India
| | - Rajnish P Joshi
- Department of General Medicine, All India Institute of Medical Sciences-Bhopal, Bhopal, India
| | - Abhijit Pakhare
- Department of Community and Family Medicine, All India Institute of Medical Sciences-Bhopal, Bhopal, Madhya Pradesh, India
| | - Abhiruchi Galhotra
- Department of Community and Family Medicine, All India Institute of Medical Sciences-Raipur, Raipur, Chhattisgarh, India
| | - Dewesh Kumar
- Department of Preventive and Social Medicine, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
| | - Binod Kumar Behera
- Department of Community and Family Medicine, All India Institute of Medical Sciences-Bhubaneswar, Bhubaneswar, Orissa, India
| | - Roshan K Topno
- Department of Epidemiology, Rajendra Memorial Research Institute of Medical Sciences, Patna, Bihar, India
| | - Manoj Kumar Gupta
- Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences Jodphur, Jodhpur, Rajasthan, India
| | - Neeti Rustagi
- Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences Jodphur, Jodhpur, Rajasthan, India
| | - Atulkumar V Trivedi
- Department of Community Medicine, Government Medical College Bhavnagar, Bhavnagar, Gujarat, India
| | - K R Thankappan
- Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod Town, Kerala, India
| | - Sonia Gupta
- Centre for Non-communicable Diseases, National Centre for Disease Control, New Delhi, Delhi, India
| | - Suneela Garg
- Department of Community Medicine, Maulana Azad Medical College, New Delhi, India
| | - Sangita Chandrakant Shelke
- Department of Community Medicine, BJ Government Medical College and Sasoon General Hospitals, Pune, Maharashtra, India
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You Y, Zhou H, Han J, Zhu Y, Zan D, Zhang Q. Anthropometry did not approach adequate predictive accuracies for detecting elevated fasting plasma glucose or hemoglobin A1c levels among Chinese children aged 7-9 years. J Diabetes Investig 2021; 12:781-789. [PMID: 32881410 PMCID: PMC8089013 DOI: 10.1111/jdi.13395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 06/13/2020] [Accepted: 08/24/2020] [Indexed: 02/05/2023] Open
Abstract
AIMS/INTRODUCTION Elevated concentrations of fasting plasma glucose (FPG) or hemoglobin A1c (HbA1c) are well-established independent risk factors for progression to diabetes, cardiovascular comorbidities and mortality. Most previous studies on the relationships of anthropometric measures with hyperglycemia were carried out among adults and adolescents, but few data are available for the performance predication of the predictors for diagnosing elevated FPG or HbA1c among young children. MATERIALS AND METHODS Involving 5,556 students of aged 7-9 years, a school-based cross-sectional survey was carried out between March and June 2019 in Shenzhen, China. Receiver operating characteristic curve analysis was utilized. RESULTS The median was 4.6 (interquartile range [IQR] 4.3-4.8) mmol/L for FPG and 5.3% (IQR 5.1-5.5%) for HbA1c levels for all participants. For detecting elevated FPG, weight (0.651, IQR 0.583-0.719) and waist circumference (0.650, IQR 0.584-0.717) showed the highest area under the curve and 95% confidence interval, followed by body mass index and the z-score of body mass index (both 0.635, IQR 0.567-0.703); other anthropometric measures showed poorer diagnostic efficiencies or no ability. For detecting elevated HbA1c, lower efficiencies for the Conicity Index (0.651, IQR 0.583-0.719), waist-to-height ratio, waist-to-hip ratio and waist-to-chest ratio were shown. The correlations of FPG and HbA1c levels with anthropometric indices were weak (Spearman's r ≤ 0.179). CONCLUSIONS None of the evaluated anthropometric indicators approached an adequate predictive accuracy for the detection of elevated FPG or HbA1c levels in Shenzhen children aged 7-9 years. The current study did not recommend anthropometry screening for prediabetes in young children.
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Affiliation(s)
- Ying‐Bin You
- Institute of Low Carb MedicineBaoan Central Hospital of Shenzhenthe Fifth Affiliated Hospital of Shenzhen UniversityShenzhenChina
- Department of Preventive MedicineShantou University Medical CollegeShantouChina
| | - Hua Zhou
- Institute of Low Carb MedicineBaoan Central Hospital of Shenzhenthe Fifth Affiliated Hospital of Shenzhen UniversityShenzhenChina
| | - Jing Han
- Institute of Low Carb MedicineBaoan Central Hospital of Shenzhenthe Fifth Affiliated Hospital of Shenzhen UniversityShenzhenChina
| | - Yan‐Hui Zhu
- Institute of Low Carb MedicineBaoan Central Hospital of Shenzhenthe Fifth Affiliated Hospital of Shenzhen UniversityShenzhenChina
| | - Ding Zan
- Institute of Low Carb MedicineBaoan Central Hospital of Shenzhenthe Fifth Affiliated Hospital of Shenzhen UniversityShenzhenChina
| | - Qing‐Ying Zhang
- Department of Preventive MedicineShantou University Medical CollegeShantouChina
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Eidkhani V, Parizadeh D, Hasheminia M, Azizi F, Hadaegh F. Impaired fasting glucose prevalence surge among Iranian adolescents in a decade: The Tehran Lipid and Glucose Study. Pediatr Diabetes 2019; 20:1064-1071. [PMID: 31478584 DOI: 10.1111/pedi.12916] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 08/14/2019] [Accepted: 08/18/2019] [Indexed: 12/30/2022] Open
Abstract
PURPOSE Impaired fasting glucose (IFG) is associated with incident diabetes, cardiovascular risk, and markers of atherosclerosis in early adulthood. We aimed to explore the 10-year change in IFG prevalence among adolescent participants of the Tehran Lipid and Glucose Study, a population-based study from Iran. METHODS For our study, we used data on fasting plasma glucose (FPG), anthropometric, and demographic information of 11 to 19-year-old adolescents in study periods I (1999-2005; 1415 boys, 1583 girls) and II (2011-2014; 477 boys, 469 girls). Sex-adjusted and sex-stratified multivariable logistic regression models were used to assess the relationship of the study period (reference: study period I) with IFG. RESULTS The prevalence of IFG, general obesity, and central obesity increased from 7%, 13.3%, and 18.8% in study period I to 16.6%, 24%, and 37.4% in study period II; while a favorable trend was seen for blood pressure, triglycerides, and high-density lipoprotein cholesterol. In the fully adjusted model, being older (age group 15-19 vs 11-14 years) and female sex were associated with lower risk. Being overweight and obese increased the risk by risk ratios (confidence interval) of 1.57 (1.17-2.11) and 1.63 (1.15-2.30), respectively. Central adiposity did not remain as an independent risk factor. Nevertheless, study period persisted as a significant factor despite all adjustments [2.20 (1.81-2.68)]. Results in the sex-stratified models were generally the same. CONCLUSION Our results demonstrated that the over 2-fold rise in IFG prevalence among adolescents was not solely dependent on general and central obesity.
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Affiliation(s)
- Vahid Eidkhani
- Students Research Committee, Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Donna Parizadeh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Hasheminia
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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