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Zhao F, Wang Y, Liu Z, Wang J, Xia Y, Jiang X, Zhou L, Khan A, Cheng S, Zou Z, Chen C, Qiu J. Association between protein-to-energy ratio and overweight/obesity in children and adolescents in the United States: a cross-sectional study based on NHANES. Front Pediatr 2024; 12:1383602. [PMID: 38983459 PMCID: PMC11232357 DOI: 10.3389/fped.2024.1383602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 06/11/2024] [Indexed: 07/11/2024] Open
Abstract
Background The dietary protein proportion may be crucial in triggering overweight and obesity among children and adolescents. Methods Cross-sectional data from 4,336 children and adolescents who participated in the National Health and Nutrition Survey (NHANES) between 2011 and March 2020 were analyzed. Multivariate logistic regression was used to calculate odds ratio (OR) and 95% confidence interval (CI). Restricted cubic splines assessed the nonlinear relationships between dietary protein intake and the prevalence of overweight and obesity. Results Adjusted logistic regression models showed that each 1% increase in dietary protein proportion was associated with a 4% higher risk of overweight and obesity (OR = 1.04, 95% CI: 1.01-1.07). A nonlinear relationship was noted in children aged 6-11 years (P < 0.05), as demonstrated by restricted cubic spline analysis. After dividing dietary protein intake into quartiles, the highest quartile had an adjusted OR of 2.07 (95% CI: 1.35, 3.16, P = 0.001) compared to the lowest, among children aged 6-11 years. Conclusion Dietary protein intake is positively linked to overweight and obesity in American children, irrespective of individual characteristics and total energy consumption.
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Affiliation(s)
- Feng Zhao
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Yudan Wang
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhaoyi Liu
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Jiao Wang
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Yinyin Xia
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Xuejun Jiang
- Center of Experimental Teaching for Public Health, Experimental Teaching and Management Center, Chongqing Medical University, Chongqing, China
| | - Lixiao Zhou
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Ahmad Khan
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Shuqun Cheng
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Zhen Zou
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
- Molecular Biology Laboratory of Respiratory Diseases, Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - Chengzhi Chen
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Jingfu Qiu
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
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Teymoori F, Asghari G, Hoseinpour S, Roosta S, Bordbar M, Mirmiran P, Sarbazi N, Azizi F. Dietary amino acids and anthropometric indices: Tehran Lipid and Glucose Study. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2023; 67:e000646. [PMID: 37364148 PMCID: PMC10661005 DOI: 10.20945/2359-3997000000646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 03/02/2021] [Indexed: 06/28/2023]
Abstract
Objective Recent studies investigated the role of amino acids (AAs) in weight management. We aimed to determine the association between AAs and three-year change of anthropometric indices and incident obesity. Materials and methods Height, weight, hip, and waist circumference (WC) were collected at baseline and follow up. Three-year changes in anthropometric indices and obesity incident according to body mass index (BMI) (overweight & obesity) and WC cutoffs (obesity-WC) were ascertained. Dietary intakes of AAs were collected at baseline, using a food frequency questionnaire. Data analyses were conducted on 4976 adult participants and two subsamples, including 1,570 and 2,918 subjects, for assessing the AAs relationship with 3-year changes on anthropometric indices and obesity incident. Results Lysine and aspartic acid were positively associated with higher weight change, whereas acidic AAs, cysteine, and glutamic acid showed a negative correlation with weight change. Furthermore, a weak positive correlation was shown for alkaline AAs, lysine, and valine with WC; however, acidic AAs, tryptophan, cysteine, and glutamic acid were negatively associated with WC. Aromatic and acidic AAs also demonstrated a weak negative relation with changes in BAI. Phenylalanine and Aromatic AAs showed a negative association with overweight &obesity incidence adjusting for potential confounders. Each quartile increases the dietary lysine, arginine, alanine, methionine, aspartic acid, and alkaline AAs related to a greater risk of obesity-WC, while tryptophan, glutamic acid, proline, and acidic AAs associated with lower obesity-WC risk. Conclusion Our results suggested that certain dietary AAs may potentially change anthropometric indices and risk of obesity incident.
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Affiliation(s)
- Farshad Teymoori
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Golaleh Asghari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sanaz Hoseinpour
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Sajjad Roosta
- Student Research Committee, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Maryam Bordbar
- Student Research Committee, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran,
| | - Narges Sarbazi
- Endocrine 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
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Tang HK, Nguyen NM, Dibley MJ. Energy intakes, macronutrient intakes and the percentages of energy from macronutrients with adolescent BMI: results from a 5-year cohort study in Ho Chi Minh City, Vietnam. Br J Nutr 2022:1-8. [PMID: 36210530 DOI: 10.1017/s0007114522003294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
BACKGROUND Adolescence is a period of life when dietary patterns and nutrient intakes may greatly influence adult fatness. This study assesses the tracking of energy and nutrient intakes of Ho Chi Minh City adolescents over 5 years. It explores the possible relationships between energy and the percentage of energy from macronutrients with BMI. METHODS Height, weight, time spent on physical activity, screen time and dietary intakes were collected annually between 2004 and 2009 among 752 junior high school students with a mean age of 11·87 years at baseline. The tracking was investigated using correlation coefficients and weighted kappa statistics (k) for repeated measurements. Mixed effect models were used to investigate the association between energy intakes and percentage energy from macronutrients with BMI. RESULTS There were increases in the mean BMI annually, but greater in boys than in girls. Correlation coefficients (0·2 < r < 0·4) between participants' intakes at baseline and 5-year follow-up suggest moderate tracking. Extended kappa values were lowest for energy from carbohydrate (CHO) in both girls and boys (k = 0·18 & 0·24, respectively), and highest for protein in girls (k = 0·47) and fat in boys (k = 0·48). The multilevel models showed the following variables significantly correlated with BMI: CHO, fat, percentage of energy from CHO, fat, time spent for moderate to vigorous physical activity, screen time, age and sex. CONCLUSIONS The poor to fair tracking observed in this cohort suggests that individual dietary patterns exhibited in the first year are unlikely to predict energy and nutrient intakes in the fifth year.
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Affiliation(s)
- Hong K Tang
- Department of Epidemiology, Faculty of Public Health, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Vietnam
| | - Ngoc-Minh Nguyen
- Department of Epidemiology, Faculty of Public Health, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Vietnam
| | - Michael J Dibley
- Sydney School of Public Health, Sydney Medical School, The University of Sydney, NSW2006, Australia
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Strączek K, Horodnicka-Józwa A, Szmit-Domagalska J, Jackowski T, Safranow K, Petriczko E, Walczak M. Impact of One-Year Dietary Education on Change in Selected Anthropometric and Biochemical Parameters in Children with Excess Body Weight. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11686. [PMID: 36141955 PMCID: PMC9517116 DOI: 10.3390/ijerph191811686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 09/08/2022] [Accepted: 09/12/2022] [Indexed: 06/16/2023]
Abstract
Obesity is regarded as a civilization disease that increases mortality and the risk of cardiovascular complications. In Poland, the prevalence of excess body weight in the paediatric population has been steadily increasing. The consequences of excess body weight in the developmental age population affect children's health and destabilize their development. Appropriate dietary interventions are the main non-invasive methods of preventing and treating obesity. They should be aimed at the whole family, optimally with the use of simple tools such as the Healthy Eating Pyramid. Due to the increasing prevalence of excess body weight in the developmental age population and the problems with the treatment of this condition, studies were undertaken in order to determine the impact of a dietary intervention on anthropometric and biochemical parameters in children with excess body weight. A total of 68 (72.3%) children completed the study. Based on BMI SDS, 59 (86.8%) were diagnosed with obesity and 9 (13.2%) with overweight. After the completion of the one-year dietary educational program, a significant improvement in weight loss, waist and hip circumference, as well as the value of the WHtR index was demonstrated. There was also a significant increase in the percentage of muscle tissue and a decrease in the content of adipose tissue in the bodies of examined children. A significant improvement in the parameters of carbohydrate metabolism, and almost all parameters of lipid metabolism, except for total cholesterol. A significant (by 28.0%) reduction in the incidence of fatty liver was also noted. No influence of dietary education on arterial blood pressure was observed.
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Affiliation(s)
- Kamilla Strączek
- Department of Pediatrics, Endocrinology, Diabetology, Metabolic Diseases and Cardiology of the Developmental Age, Pomeranian Medical University, 71-252 Szczecin, Poland
| | - Anita Horodnicka-Józwa
- Department of Pediatrics, Endocrinology, Diabetology, Metabolic Diseases and Cardiology of the Developmental Age, Pomeranian Medical University, 71-252 Szczecin, Poland
| | - Justyna Szmit-Domagalska
- Department of Pediatrics, Endocrinology, Diabetology, Metabolic Diseases and Cardiology of the Developmental Age, Pomeranian Medical University, 71-252 Szczecin, Poland
| | - Tomasz Jackowski
- Department of Pediatrics, Endocrinology, Diabetology, Metabolic Diseases and Cardiology of the Developmental Age, Pomeranian Medical University, 71-252 Szczecin, Poland
| | - Krzysztof Safranow
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70-111 Szczecin, Poland
| | - Elżbieta Petriczko
- Department of Pediatrics, Endocrinology, Diabetology, Metabolic Diseases and Cardiology of the Developmental Age, Pomeranian Medical University, 71-252 Szczecin, Poland
| | - Mieczysław Walczak
- Department of Pediatrics, Endocrinology, Diabetology, Metabolic Diseases and Cardiology of the Developmental Age, Pomeranian Medical University, 71-252 Szczecin, Poland
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Dor C, Stark AH, Dichtiar R, Keinan-Boker L, Sinai T. Non-Dairy Animal Protein Consumption Is Positively Associated with Overweight and Obesity in Israeli Adolescents. Foods 2022; 11:foods11142072. [PMID: 35885315 PMCID: PMC9317251 DOI: 10.3390/foods11142072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/06/2022] [Accepted: 07/11/2022] [Indexed: 11/17/2022] Open
Abstract
Protein consumption apparently plays a role in weight control. This cross-sectional study examined the association of protein consumption in Israeli adolescents with overweight/obesity. 7th−12th grade students participating in a national school-based survey (2015−2016) completed self-administered questionnaires, including a food frequency questionnaire, and height and weight measurements (n = 3443, 48% males, 15.2 ± 1.6 years). WHO growth standards served to define weight status. Intakes of total protein and protein source were calculated. Multivariable logistic regression analyses evaluated associations with overweight/obesity (BMI z-score ≥ 1), adjusting for possible covariates. Total protein intake (median (IQR)) was 62.5 (45.5, 85.7) g/d, accounting for 12.0 (10.5, 13.6) percent of daily energy. Of participants, 31.4% were overweight/obese. In multivariable models, overweight/obesity was positively associated with incremental increases of 10 g/d in total protein intake (OR = 1.07, 95% CI: 1.02−1.12, p < 0.01), total animal protein intake (OR = 1.05, 95% CI: 1.01−1.10, p = 0.026), and non-dairy animal protein intake (OR = 1.06, 95% CI: 1.01−1.11, p = 0.029). No associations were found with plant or dairy protein intake. These associations remained when protein intake was reported as a percentage of daily energy and when overweight and obesity were analyzed individually. High daily protein intakes, principally from non-dairy animal sources, were positively associated with overweight/obesity in adolescents. Additional studies are needed to establish causality of these findings.
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Affiliation(s)
- Chen Dor
- Israel Center for Disease Control, Israel Ministry of Health, Ramat Gan 5262100, Israel; (C.D.); (R.D.); (L.K.-B.)
| | - Aliza Hannah Stark
- School of Nutritional Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel;
| | - Rita Dichtiar
- Israel Center for Disease Control, Israel Ministry of Health, Ramat Gan 5262100, Israel; (C.D.); (R.D.); (L.K.-B.)
| | - Lital Keinan-Boker
- Israel Center for Disease Control, Israel Ministry of Health, Ramat Gan 5262100, Israel; (C.D.); (R.D.); (L.K.-B.)
- School of Public Health, University of Haifa, Haifa 3498838, Israel
| | - Tali Sinai
- Israel Center for Disease Control, Israel Ministry of Health, Ramat Gan 5262100, Israel; (C.D.); (R.D.); (L.K.-B.)
- School of Nutritional Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel;
- Correspondence: ; Tel.: +972-3-7371568; Fax: +972-2-5655994
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Segovia-Siapco G, Khayef G, Pribis P, Oda K, Haddad E, Sabaté J. Animal Protein Intake Is Associated with General Adiposity in Adolescents: The Teen Food and Development Study. Nutrients 2019; 12:nu12010110. [PMID: 31906138 PMCID: PMC7019331 DOI: 10.3390/nu12010110] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 12/21/2019] [Accepted: 12/26/2019] [Indexed: 12/12/2022] Open
Abstract
Protein plays a crucial role in the growth and development of adolescents. However, being a secondary energy source, protein’s role in obesity has been sidelined. We examined whether intake of protein (total, animal, plant), branched-chain (BCAAs), and sulfur-containing (SCAAs) amino acids are associated with general body and central obesity and body composition in a cross-sectional study among healthy adolescents. Students aged 12–18 years old (n = 601) in schools near two major Adventist universities in California and Michigan provided dietary data via a validated web-based food frequency questionnaire (FFQ) and anthropometric data during school visits. Intakes of total, animal, and plant proteins, and BCAAs and SCAAs were derived from FFQ data. We defined general body obesity with body-mass-index-for-age (BMIz) z-scores and central obesity with waist-to-height ratios (WHtR). After full adjustment for covariates, multiple regression analyses showed significant positive associations between intakes of total protein (β = 0.101, 95% CI: 0.041, 0.161), animal protein (β = 0.118, 95% CI: 0.057, 0.178), BCAAs (β = 0.056, 95% CI: 0.025, 0.087), and SCAAs (β = 0.025, 95% CI: 0.012, 0.038) with general body adiposity. Animal protein (β = 0.017, 95% CI: 0.001, 0.033) and SCAAs (β = 0.004, 95% CI: 0.000, 0.008) were also associated with central obesity. Total and animal protein and BCAA and SCAA were also significantly associated with fat mass. Our findings suggest that high protein intake may pose a possible detriment to adolescent health. Longitudinal and safety evaluation studies are recommended.
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Affiliation(s)
- Gina Segovia-Siapco
- School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA; (K.O.); (E.H.); (J.S.)
- Correspondence: ; Tel.: +1-909-558-4300 (ext. 47110)
| | - Golandam Khayef
- Don B. Huntley College of Agriculture, California State Polytechnic University, 3801 West Temple Avenue, Pomona, CA 91768, USA
| | - Peter Pribis
- Department of Individual, Family & Community Education, Nutrition and Dietetics Program, College of Education, University of New Mexico, Albuquerque, NM 87131, USA;
| | - Keiji Oda
- School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA; (K.O.); (E.H.); (J.S.)
| | - Ella Haddad
- School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA; (K.O.); (E.H.); (J.S.)
| | - Joan Sabaté
- School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA; (K.O.); (E.H.); (J.S.)
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Verhaart IEC, van de Vijver D, Boertje-van der Meulen JW, Putker K, Adamzek K, Aartsma-Rus A, van Putten M. A modified diet does not ameliorate muscle pathology in a mouse model for Duchenne muscular dystrophy. PLoS One 2019; 14:e0215335. [PMID: 31017936 PMCID: PMC6481797 DOI: 10.1371/journal.pone.0215335] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 03/29/2019] [Indexed: 12/19/2022] Open
Abstract
Duchenne muscular dystrophy (DMD) is caused by a lack of dystrophin protein. Next to direct effects on the muscles, this has also metabolic consequences. The influence of nutrition on disease progression becomes more and more recognized. Protein intake by DMD patients may be insufficient to meet the increased demand of the constantly regenerating muscle fibers. This led to the hypothesis that improving protein uptake by the muscles could have therapeutic effects. The present study examined the effects of a modified diet, which composition might stimulate muscle growth, on disease pathology in the D2-mdx mouse model. D2-mdx males were fed with either a control diet or modified diet, containing high amounts of branched-chain amino acids, vitamin D3 and ursolic acid, for six weeks. Our study indicates that the modified diet could not ameliorate the muscle pathology. No effects on bodyweight or weight of individual muscles were observed. Neither did the diet affect severity of fibrosis or calcification of the muscles.
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Affiliation(s)
- Ingrid E. C. Verhaart
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Davy van de Vijver
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Kayleigh Putker
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Kevin Adamzek
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Annemieke Aartsma-Rus
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Maaike van Putten
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
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Wang H, Yang J, Yu X, Zhao G, Zhao Q, Wang N, Jiang Y, Jiang F, He G, Chen Y, Zhou Z, Jiang Q. Exposure of Adults to Antibiotics in a Shanghai Suburban Area and Health Risk Assessment: A Biomonitoring-Based Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:13942-13950. [PMID: 30388002 DOI: 10.1021/acs.est.8b03979] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
An extensive exposure to antibiotics has been demonstrated in children and pregnant women by biomonitoring, but data from general adults remain limited. In the current study, we studied 822 adults aged 21-75 years in Shanghai in 2017 and analyzed 18 common antibiotics (five veterinary antibiotics (VAs), four human antibiotics (HAs), and nine human/veterinary antibiotics (H/VAs)) in spot urine by liquid chromatography coupled to high-resolution mass spectrometry. All 18 antibiotics were detected in urine with an overall detection frequency of 45.9% and the detection frequency for each ranged from 0.1% to 15.2%. HAs, VAs, H/VAs, and VAs+H/VAs were detected in 4.4%, 11.6%, 38.0, and 44.5% of urine samples, respectively. Adults with the sum of estimated daily exposure dose of all the antibiotics below 1.55 μg/kg/day accounted for 89.1% of adults tested positive. A hazard index value beyond one was seen in 7.2% of adults based on microbiological effect. Ciprofloxacin was the biggest contributor to HI and its hazard quotient value more than one was seen in 5.6% of adults. These findings indicated an extensive exposure to low-dose multiple antibiotics in adults in Shanghai and some adults were at health risk related to the disturbance of gut microbiota.
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Affiliation(s)
- Hexing Wang
- Key Laboratory of Public Health Safety of Ministry of Education/School of Public Health , Fudan University , Shanghai 200032 , China
| | - Jiaqi Yang
- Key Laboratory of Public Health Safety of Ministry of Education/School of Public Health , Fudan University , Shanghai 200032 , China
| | - Xin Yu
- Key Laboratory of Public Health Safety of Ministry of Education/School of Public Health , Fudan University , Shanghai 200032 , China
| | - Genming Zhao
- Key Laboratory of Public Health Safety of Ministry of Education/School of Public Health , Fudan University , Shanghai 200032 , China
| | - Qi Zhao
- Key Laboratory of Public Health Safety of Ministry of Education/School of Public Health , Fudan University , Shanghai 200032 , China
| | - Na Wang
- Key Laboratory of Public Health Safety of Ministry of Education/School of Public Health , Fudan University , Shanghai 200032 , China
| | - Yonggen Jiang
- Songjiang District Center for Disease Control and Prevention , Songjiang District, Shanghai 201600 , China
| | - Feng Jiang
- Key Laboratory of Public Health Safety of Ministry of Education/School of Public Health , Fudan University , Shanghai 200032 , China
| | - Gengsheng He
- Key Laboratory of Public Health Safety of Ministry of Education/School of Public Health , Fudan University , Shanghai 200032 , China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine , University of Ottawa , Ottawa , Ontario K1G 5Z3 , Canada
| | - Zhijun Zhou
- Key Laboratory of Public Health Safety of Ministry of Education/School of Public Health , Fudan University , Shanghai 200032 , China
| | - Qingwu Jiang
- Key Laboratory of Public Health Safety of Ministry of Education/School of Public Health , Fudan University , Shanghai 200032 , China
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Association of Dietary Inflammatory Index with anthropometric indices in children and adolescents: the weight disorder survey of the Childhood and Adolescence Surveillance and Prevention of Adult Non-communicable Disease (CASPIAN)-IV study. Br J Nutr 2018; 121:340-350. [PMID: 30507370 DOI: 10.1017/s0007114518003240] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
This study aimed to assess the relationship between the Dietary Inflammatory Index (DII®), a validated tool for evaluating diet-associated inflammation, and anthropometric indices in children and adolescents. This multicentre survey was conducted on 5427 school students selected via multistage cluster sampling from thirty provinces of Iran. This survey was conducted under the framework of the weight disorders survey, which is part of a national surveillance programme entitled Childhood and Adolescence Surveillance and Prevention of Adult Non-communicable Diseases-IV. For calculating the DII scores, twenty-five dietary factors were obtained from a validated 168-item FFQ. Height, weight, wrist circumference, neck circumference (NC), waist circumference (WC) and hip circumference (HC) were measured. BMI z-score, waist circumference:hip circumference ratio (WHR), waist circumference:height ratio (WHtR) and parental BMI were computed. Linear regression models were used to evaluate the association of DII and anthropometric indices. Significant trends were observed across quartiles of DII score for all anthropometric indices in all participants (P <0·05), except for WHR and WHtR. After adjustment for potential confounders, the multiple linear regression analysis for each anthropometric index revealed that participants in the highest DII quartile had higher BMI z-score, WC, HC and parental BMI compared with those in the first (or lowest) quartile. In summary, we found that a pro-inflammatory diet was associated with higher BMI z-score, wrist circumference, NC, WC, HC and parental BMI. The large sample size of the present study may influence the statistical significance of observed associations. Hence, the findings should be clinically interpreted with caution.
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The independent associations of protein consumption with body fat and glycaemic control in adult Chinese. Eur J Nutr 2018; 58:1981-1990. [PMID: 29948219 DOI: 10.1007/s00394-018-1751-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 06/11/2018] [Indexed: 01/10/2023]
Abstract
PURPOSE High-protein diets were popular in weight control. However, the role of protein intake in adiposity and related metabolic conditions among general populations is not clear. We aimed to evaluate the associations of protein intake with adiposity and glycaemic control among adult Chinese in a nationwide population-based survey. METHODS The data were from China Health and Nutrition Survey 2009. A total of 9360 men and women aged 18 years or older were included. Body fat percentage was calculated using validated Chinese-specific equations. Dietary intake levels of macronutrients were evaluated by food-weighing approach combined with a 3-day food intake recall. RESULTS Averagely, our participants have 12.5% energy intake from dietary protein. With multivariate adjustment including total energy intake, the odds ratios (95% CIs) of excessive adiposity (body fat percentage ≥ 20/30% for men/women), and central obesity (waist circumference ≥ 90/80 cm for men/women) were 1.51 (1.30, 1.75) and 1.40 (1.21, 1.62), respectively, comparing extreme quintiles of relative protein intake, while fat and carbohydrate were not associated with adiposity indices. Moreover, higher relative protein intake was associated with elevated concentration of fasting glucose (β ± SE: 1.233 ± 0.583), fasting insulin (23.211 ± 9.191), glycated hemoglobin (1.057 ± 0.369), and insulin resistance indicated by homeostasis model assessment of insulin resistance (7.558 ± 2.928) (all P < 0.05). Further adjusting for body mass index attenuated the associations. CONCLUSION In Chinese adults, higher habitual protein consumption may be associated with higher adiposity and worse glycaemic control, independent of total energy intake.
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Moore LB, Liu SV, Halliday TM, Neilson AP, Hedrick VE, Davy BM. Urinary Excretion of Sodium, Nitrogen, and Sugar Amounts Are Valid Biomarkers of Dietary Sodium, Protein, and High Sugar Intake in Nonobese Adolescents. J Nutr 2017; 147:2364-2373. [PMID: 28931586 PMCID: PMC5697967 DOI: 10.3945/jn.117.256875] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 07/26/2017] [Accepted: 08/28/2017] [Indexed: 12/11/2022] Open
Abstract
Background: Objective indicators of dietary intake (e.g., biomarkers) are needed to overcome the limitations of self-reported dietary intake assessment methods in adolescents. To our knowledge, no controlled feeding studies to date have evaluated the validity of urinary sodium, nitrogen, or sugar excretion as dietary biomarkers in adolescents.Objective: This investigation aimed to evaluate the validity of urinary sodium, nitrogen, and total sugars (TS) excretion as biomarkers for sodium, protein, and added sugars (AS) intake in nonobese adolescents.Methods: In a crossover controlled feeding study design, 33 adolescents [12-18 y of age, 47 ± 25th percentile (mean ± SD) of body mass index (BMI; in kg/m2) for age] consumed 5% AS [low added sugars (LAS)] and 25% AS [high added sugars (HAS)] isocaloric, macronutrient-matched (55% carbohydrate, 30% fat, and 15% protein) diets for 7 d each, in a randomly assigned order, with a 4-wk washout period between diets. On the final 2 d of each diet period, 24-h urine samples were collected. Thirty-two adolescents completed all measurements (97% retention).Results: Urinary sodium was not different from the expected 90% recovery (mean ± SD: 88% ± 18%, P = 0.50). Urinary nitrogen was correlated with protein intake (r = 0.69, P < 0.001), although it was below the 80% expected recovery (62% ± 7%, P < 0.001). Urinary TS values were correlated with AS intake during the HAS diet (r = 0.77, P < 0.001) and had a higher R2 value of 0.28 than did AS intake (R2 = 0.36). TS excretion differed between LAS (0.226 ± 0.09 mg/d) and HAS (0.365 ± 0.16 mg/d) feeding periods (P < 0.001).Conclusions: Urinary sodium appears to be a valid biomarker for sodium intake in nonobese adolescents. Urinary nitrogen is associated with protein intake, but nitrogen excretion rates were less than previously reported for adults, possibly owing to adolescent growth rates. TS excretion reflects AS at 25% AS intake and was responsive to the change in AS intake. Thus, urinary biomarkers are promising objective indicators of dietary intake in adolescents, although larger-scale feeding trials are needed to confirm these findings. This trial was registered at clinicaltrials.gov as NCT02455388.
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Affiliation(s)
- Lori B Moore
- Departments of Human Nutrition, Foods, and Exercise and
| | - Sarah V Liu
- Departments of Human Nutrition, Foods, and Exercise and
| | | | | | | | - Brenda M Davy
- Departments of Human Nutrition, Foods, and Exercise and
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Beyerlein A, Uusitalo UM, Virtanen SM, Vehik K, Yang J, Winkler C, Kersting M, Koletzko S, Schatz D, Aronsson CA, Larsson HE, Krischer JP, Ziegler AG, Norris JM, Hummel S. Intake of Energy and Protein is Associated with Overweight Risk at Age 5.5 Years: Results from the Prospective TEDDY Study. Obesity (Silver Spring) 2017; 25:1435-1441. [PMID: 28650578 PMCID: PMC5529234 DOI: 10.1002/oby.21897] [Citation(s) in RCA: 16] [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] [Received: 02/01/2017] [Revised: 05/03/2017] [Accepted: 05/09/2017] [Indexed: 12/15/2022]
Abstract
OBJECTIVE The associations of energy, protein, carbohydrate, and fat intake with weight status up to the age of 5.5 years were prospectively assessed in The Environmental Determinants of Diabetes in the Young (TEDDY) study. METHODS Food record data (over 3 days) and BMI measurements between 0.25 and 5.5 years were available from 5,563 children with an increased genetic risk for type 1 diabetes followed from shortly after birth. Odds ratios (ORs) were calculated for overweight and obesity by previous intake of energy, protein, carbohydrate, and fat with adjustment for potential confounders. RESULTS Having overweight or obesity at the age of 5.5 years was positively associated with mean energy intake in previous age intervals (e.g., adjusted OR [95% CI] for overweight: 1.06 [1.04-1.09] per 100 kcal intake at the age of 4.5-5.0 years) and with protein intake after the age of 3.5 and 4.5 years, respectively (e.g., adjusted OR for overweight: 1.06 [1.03-1.09] per 1% of energy intake at the age of 4.5-5.0 years). The respective associations with carbohydrate and fat intake were less consistent. CONCLUSIONS These findings indicate that energy and protein intake are positively associated with increased risk for overweight in childhood but yield no evidence for potential programming effects of protein intake in infancy.
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Affiliation(s)
- Andreas Beyerlein
- Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Ulla M. Uusitalo
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Suvi M. Virtanen
- Unit of Nutrition, National Institute for Health and Welfare, Helsinki; University of Tampere, Tampere, School of Health Sciences; Center for Child Health Research, University of Tampere and Tampere University Hospital, Tampere; and The Science Center of Pirkanmaa Hospital District, Tampere, Finland
| | - Kendra Vehik
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Jimin Yang
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Mathilde Kersting
- Research Institute of Child Nutrition (FKE), Pediatric University Clinic, Ruhr-University Bochum, Germany
| | - Sibylle Koletzko
- Dr. v. Hauner Children’s Hospital, University Munich Medical Center, Munich, Germany
| | - Desmond Schatz
- Departments of Pediatrics and Pathology and Laboratory Medicine, University of Florida, Gainesville, Florida
| | - Carin Andrén Aronsson
- Department of Clinical Sciences, Lund University, Skåne University Hospital SUS, Malmö, Sweden
| | - Helena Elding Larsson
- Department of Clinical Sciences, Lund University, Skåne University Hospital SUS, Malmö, Sweden
| | - Jeffrey P. Krischer
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Anette-G. Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Jill M. Norris
- Colorado School of Public Health, University of Colorado, Aurora, CO, USA
| | - Sandra Hummel
- Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Forschergruppe Diabetes e.V., Neuherberg, Germany
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