1
|
Patterson KP, Nigra AE, Olmedo P, Grau-Perez M, O'Leary R, O'Leary M, Fretts AM, Umans JG, Best LG, Goessler W, Cole SA, Navas-Acien A. Geographic and dietary differences of urinary uranium levels in the Strong Heart Family Study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00695-6. [PMID: 38961273 DOI: 10.1038/s41370-024-00695-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 05/29/2024] [Accepted: 06/03/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND American Indian (AI) communities are affected by uranium exposure from abandoned mines and naturally contaminated drinking water. Few studies have evaluated geographical differences across AI communities and the role of dietary exposures. OBJECTIVE We evaluated differences in urinary uranium levels by diet and geographical area among AI participants from the Northern Plains, the Southern Plains, and the Southwest enrolled in the Strong Heart Family Study (SHFS). METHODS We used food frequency questionnaires to determine dietary sources related to urinary uranium levels for 1,682 SHFS participants in 2001-2003. We calculated adjusted geometric mean ratios (GMRs) of urinary uranium for an interquartile range (IQR) increase in self-reported food group consumption accounting for family clustering and adjusting for sociodemographic variables and other food groups. We determined the percentage of variability in urinary uranium explained by diet. RESULTS Median (IQR) urinary uranium levels were 0.027 (0.012, 0.057) μg/g creatinine. Urinary uranium levels were higher in Arizona (median 0.039 μg/g) and North Dakota and South Dakota (median 0.038 μg/g) and lower in Oklahoma (median 0.019 μg/g). The adjusted percent increase (95% confidence interval) of urinary uranium levels per IQR increase in reported food intake was 20% (5%, 36%) for organ meat, 11% (1%, 23%) for cereals, and 14% (1%, 29%) for alcoholic drinks. In analyses stratified by study center, the association with organ meat was specific to North Dakota and South Dakota participants. An IQR increase in consumption of fries and chips was inversely associated with urinary uranium levels -11% (-19%, -3%). Overall, we estimated that self-reported dietary exposures explained 1.71% of variability in urine uranium levels. IMPACT Our paper provides a novel assessment of self-reported food intake and urinary uranium levels in a cohort of American Indian participants. We identify foods (organ meat, cereals, and alcohol) positively associated with urinary uranium levels, find that organ meat consumption is only associated with urine uranium in North Dakota and South Dakota, and estimate that diet explains relatively little variation in total urinary uranium concentrations. Our findings contribute meaningful data toward a more comprehensive estimation of uranium exposure among Native American communities and support the need for high-quality assessments of water and dust uranium exposures in SHFS communities.
Collapse
Affiliation(s)
- Kevin P Patterson
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Anne E Nigra
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Pablo Olmedo
- Department of Legal Medicine and Toxicology, School of Medicine, University of Granada, Granada, Spain
| | - Maria Grau-Perez
- Area of Cardiometabolic and Renal Risk, Biomedical Research Institute Hospital Clinic of Valencia, Valencia, Spain
| | - Rae O'Leary
- Missouri Breaks Industries Research Inc, Eagle Butte, SD, USA
| | - Marcia O'Leary
- Missouri Breaks Industries Research Inc, Eagle Butte, SD, USA
| | - Amanda M Fretts
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Jason G Umans
- MedStar Health Research Institute, Washington, DC, USA
| | - Lyle G Best
- Missouri Breaks Industries Research Inc, Eagle Butte, SD, USA
| | | | - Shelley A Cole
- Texas Biomedical Research Institute, Hyattsville, MD, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| |
Collapse
|
2
|
Gal AM, Arhire LI, Gherasim A, Graur M, Nita O, Dumitrascu O, Soimaru RM, Popa AD, Mihalache L. Association between Diet Quality and Eating Behavior in Type 2 Diabetes Adults: A Cross-Sectional Study. Nutrients 2024; 16:2047. [PMID: 38999795 PMCID: PMC11243329 DOI: 10.3390/nu16132047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 06/22/2024] [Accepted: 06/24/2024] [Indexed: 07/14/2024] Open
Abstract
Type 2 diabetes mellitus (T2DM) has become a global epidemic. To effectively control T2DM, individuals must adhere to a high-quality diet that encompasses not only healthy dietary patterns but also promotes positive eating behaviors. We conducted a cross-sectional study on 314 patients with T2DM, and we evaluated the diet quality and also examined the associations between eating behavior, diet quality, and anthropometric and clinical factors in T2DM patients. We used the Diet Quality Index-International and Dutch Eating Behavior Questionnaire to assess dietary characteristics. We found that women had a significantly higher diet quality than men (61.40 vs. 58.68, p = 0.002) but were also more prone to emotional eating (2.00 vs. 1.53, p < 0.001) and restrained eating (2.39 vs. 2.05, p = 0.002). Restrained eating correlated with duration of diabetes (r = -0.169, p = 0.003), body mass index (r = 0.182, p = 0.001), and external eating with glycated hemoglobin (r = 0.114, p = 0.044). Patients with emotional eating had a higher vitamin C adequacy score (β = 0.117, p = 0.045). External eating was positively associated with grain adequacy (β = 0.208, p < 0.001) and negatively associated with empty-calorie food moderation score (β = -0.125, p = 0.032). For restrained eating, we found associations with vitamin C adequacy (β = -0.138, p = 0.017) and fruit adequacy (β = 0.125, p = 0.033). In conclusion, the results of this study provide valuable insight into dietary behavior and emphasize the importance of promoting healthy eating habits for T2DM patients.
Collapse
Affiliation(s)
- Ana Maria Gal
- Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (A.M.G.); (A.G.); (O.N.); (O.D.); (R.M.S.); (A.D.P.); (L.M.)
- Faculty of Medicine and Biological Sciences, Stefan cel Mare University, 720229 Suceava, Romania;
| | - Lidia Iuliana Arhire
- Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (A.M.G.); (A.G.); (O.N.); (O.D.); (R.M.S.); (A.D.P.); (L.M.)
| | - Andreea Gherasim
- Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (A.M.G.); (A.G.); (O.N.); (O.D.); (R.M.S.); (A.D.P.); (L.M.)
| | - Mariana Graur
- Faculty of Medicine and Biological Sciences, Stefan cel Mare University, 720229 Suceava, Romania;
| | - Otilia Nita
- Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (A.M.G.); (A.G.); (O.N.); (O.D.); (R.M.S.); (A.D.P.); (L.M.)
| | - Oana Dumitrascu
- Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (A.M.G.); (A.G.); (O.N.); (O.D.); (R.M.S.); (A.D.P.); (L.M.)
| | - Raluca Meda Soimaru
- Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (A.M.G.); (A.G.); (O.N.); (O.D.); (R.M.S.); (A.D.P.); (L.M.)
- Faculty of Medicine and Biological Sciences, Stefan cel Mare University, 720229 Suceava, Romania;
| | - Alina Delia Popa
- Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (A.M.G.); (A.G.); (O.N.); (O.D.); (R.M.S.); (A.D.P.); (L.M.)
| | - Laura Mihalache
- Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (A.M.G.); (A.G.); (O.N.); (O.D.); (R.M.S.); (A.D.P.); (L.M.)
| |
Collapse
|
3
|
Reese JA, Roman MJ, Deen JF, Ali T, Cole SA, Devereux RB, Fretts AM, Howard WJ, Lee ET, Malloy K, Umans JG, Zhang Y. Dyslipidemia in American Indian Adolescents and Young Adults: Strong Heart Family Study. J Am Heart Assoc 2024; 13:e031741. [PMID: 38445515 PMCID: PMC11010025 DOI: 10.1161/jaha.123.031741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 12/27/2023] [Indexed: 03/07/2024]
Abstract
BACKGROUND Although many studies on the association between dyslipidemia and cardiovascular disease (CVD) exist in older adults, data on the association among adolescents and young adults living with disproportionate burden of cardiometabolic disorders are scarce. METHODS AND RESULTS The SHFS (Strong Heart Family Study) is a multicenter, family-based, prospective cohort study of CVD in an American Indian populations, including 12 communities in central Arizona, southwestern Oklahoma, and the Dakotas. We evaluated SHFS participants, who were 15 to 39 years old at the baseline examination in 2001 to 2003 (n=1440). Lipids were measured after a 12-hour fast. We used carotid ultrasounds to detect plaque at baseline and follow-up in 2006 to 2009 (median follow-up=5.5 years). We identified incident CVD events through 2020 with a median follow-up of 18.5 years. We used shared frailty proportional hazards models to assess the association between dyslipidemia and subclinical or clinical CVD, while controlling for covariates. Baseline dyslipidemia prevalence was 55.2%, 73.6%, and 78.0% for participants 15 to 19, 20 to 29, and 30 to 39 years old, respectively. Approximately 2.8% had low-density lipoprotein cholesterol ≥160 mg/dL, which is higher than the recommended threshold for lifestyle or medical interventions in young adults of 20 to 39 years old. During follow-up, 9.9% had incident plaque (109/1104 plaque-free participants with baseline and follow-up ultrasounds), 11.0% had plaque progression (128/1165 with both baseline and follow-up ultrasounds), and 9% had incident CVD (127/1416 CVD-free participants at baseline). Plaque incidence and progression were higher in participants with total cholesterol ≥200 mg/dL, low-density lipoprotein cholesterol ≥160 mg/dL, or non-high-density lipoprotein cholesterol ≥130 mg/dL, while controlling for covariates. CVD risk was independently associated with low-density lipoprotein cholesterol ≥160 mg/dL. CONCLUSIONS Dyslipidemia is a modifiable risk factor that is associated with both subclinical and clinical CVD, even among the younger American Indian population who have unexpectedly high rates of significant CVD events. Therefore, this population is likely to benefit from a variety of evidence-based interventions including screening, educational, lifestyle, and guideline-directed medical therapy at an early age.
Collapse
Affiliation(s)
- Jessica A. Reese
- Center for American Indian Health Research, Department of Biostatistics and Epidemiology, Hudson College of Public HealthUniversity of Oklahoma Health Sciences CenterOklahoma CityOKUSA
| | | | - Jason F. Deen
- Departments of Pediatrics and MedicineUniversity of WashingtonSeattleWAUSA
| | - Tauqeer Ali
- Center for American Indian Health Research, Department of Biostatistics and Epidemiology, Hudson College of Public HealthUniversity of Oklahoma Health Sciences CenterOklahoma CityOKUSA
| | - Shelley A. Cole
- Population HealthTexas Biomedical Research InstituteSan AntonioTXUSA
| | | | | | - Wm. James Howard
- Georgetown‐Howard Universities Center for Clinical and Translational ScienceWashingtonDCUSA
| | - Elisa T. Lee
- Center for American Indian Health Research, Department of Biostatistics and Epidemiology, Hudson College of Public HealthUniversity of Oklahoma Health Sciences CenterOklahoma CityOKUSA
| | - Kimberly Malloy
- Center for American Indian Health Research, Department of Biostatistics and Epidemiology, Hudson College of Public HealthUniversity of Oklahoma Health Sciences CenterOklahoma CityOKUSA
| | - Jason G. Umans
- MedStar Health Research InstituteHyattsvilleMDUSA
- Georgetown‐Howard Universities Center for Clinical and Translational ScienceWashingtonDCUSA
| | - Ying Zhang
- Center for American Indian Health Research, Department of Biostatistics and Epidemiology, Hudson College of Public HealthUniversity of Oklahoma Health Sciences CenterOklahoma CityOKUSA
| |
Collapse
|
4
|
Taylor RM, Haslam RL, Herbert J, Whatnall MC, Trijsburg L, de Vries JHM, Josefsson MS, Koochek A, Nowicka P, Neuman N, Clarke ED, Burrows TL, Collins CE. Diet quality and cardiovascular outcomes: A systematic review and meta-analysis of cohort studies. Nutr Diet 2024; 81:35-50. [PMID: 38129766 DOI: 10.1111/1747-0080.12860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/14/2023] [Accepted: 11/25/2023] [Indexed: 12/23/2023]
Abstract
AIMS To evaluate relationships between diet quality and cardiovascular outcomes. METHODS Six databases were searched for studies published between January 2007 and October 2021. Eligible studies included cohort studies that assessed the relationship between a priori diet quality and cardiovascular disease mortality and morbidity in adults. The Academy of Nutrition and Dietetics Checklist was used to assess the risk of bias. Study characteristics and outcomes were extracted from eligible studies using standardised processes. Data were summarised using risk ratios for cardiovascular disease incidence and mortality with difference compared for highest versus lowest diet quality synthesised in meta-analyses using a random effects model. RESULTS Of the 4780 studies identified, 159 studies (n = 6 272 676 adults) were included. Meta-analyses identified a significantly lower cardiovascular disease incidence (n = 42 studies, relative risk 0.83, 95% CI 0.82-0.84, p < 0.001) and mortality risk (n = 49 studies, relative risk 0.83, 95% CI 0.82-0.84, p < 0.001) among those with highest versus lowest diet quality. In sensitivity analyses of a high number of pooled studies (≥13 studies) the Mediterranean style diet patterns and adherence to the heart healthy diet guidelines were significantly associated with a risk reduction of 15% and 14% for cardiovascular disease incidence and 17% and 20% for cardiovascular disease mortality respectively (p < 0.05). CONCLUSIONS Higher diet quality is associated with lower incidence and risk of mortality for cardiovascular disease however, significant study heterogeneity was identified for these relationships.
Collapse
Affiliation(s)
- Rachael M Taylor
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Rebecca L Haslam
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Jaimee Herbert
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Megan C Whatnall
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Laura Trijsburg
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Jeanne H M de Vries
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | | | - Afsaneh Koochek
- Department of Food studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden
| | - Paulina Nowicka
- Department of Food studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden
| | - Nicklas Neuman
- Department of Food studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden
| | - Erin D Clarke
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Tracy L Burrows
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Clare E Collins
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| |
Collapse
|
5
|
Bromage S, Pongcharoen T, Prachansuwan A, Sukboon P, Srichan W, Purttiponthanee S, Deitchler M, Moursi M, Arsenault J, Ali NB, Batis C, Fawzi WW, Winichagoon P, Willett WC, Kriengsinyos W. Performance of the Global Diet Quality Score (GDQS) App in Predicting Nutrient Adequacy and Metabolic Risk Factors among Thai Adults. J Nutr 2023; 153:3576-3594. [PMID: 37844842 PMCID: PMC10739769 DOI: 10.1016/j.tjnut.2023.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/03/2023] [Accepted: 10/06/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND The Global Diet Quality Score (GDQS) was developed for monitoring nutrient adequacy and diet-related noncommunicable disease risk in diverse populations. A software application (GDQS app) was recently developed for the standardized collection of GDQS data. The application involves a simplified 24-h dietary recall (24HR) where foods are matched to GDQS-food groups using an onboard database, portion sizes are estimated at the food group level using cubic models, and the GDQS is computed. OBJECTIVES The study aimed to estimate associations between GDQS scores collected using the GDQS app and nutrient adequacy and metabolic risks. METHODS In this cross-sectional study of 600 Thai males and nonpregnant/nonlactating females (40-60 y), we collected 2 d of GDQS app and paper-based 24HR, food-frequency questionnaires (FFQs), anthropometry, body composition, blood pressure, and biomarkers. Associations between application scores and outcomes were estimated using multiple regression, and application performance was compared with that of metrics scored using 24HR and FFQ data: GDQS, Minimum Dietary Diversity-Women, Alternative Healthy Eating Index-2010, and Global Dietary Recommendations score. RESULTS In covariate-adjusted models, application scores were significantly (P < 0.05) associated with higher energy-adjusted mean micronutrient adequacy computed using 24HR (range in estimated mean adequacy between score quintiles 1 and 5: 36.3%-44.5%) and FFQ (Q1-Q5: 40.6%-44.2%), and probability of protein adequacy from 24HR (Q1-Q5: 63%-72.5%). Application scores were inversely associated with BMI kg/m2 (Q1-Q5: 26.3-24.9), body fat percentage (Q1-Q5: 31.7%-29.1%), diastolic blood pressure (Q1-Q5: 84-81 mm Hg), and a locally-developed sodium intake score (Q1-Q5: 27.5-24.0 points out of 100); positively associated with high-density lipoprotein cholesterol (Q1-Q5: 49-53 mg/dL) and 24-h urinary potassium (Q1-Q5: 1385-1646 mg); and inversely associated with high midupper arm circumference (Q5/Q1 odds ratio: 0.52) and abdominal obesity (Q5/Q1 odds ratio: 0.51). Significant associations for the application outnumbered those for metrics computed using 24HR or FFQ. CONCLUSIONS The GDQS app effectively assesses nutrient adequacy and metabolic risk in population surveys.
Collapse
Affiliation(s)
- Sabri Bromage
- Community Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand; Department of Global Health and Populations, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tippawan Pongcharoen
- Community Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand.
| | - Aree Prachansuwan
- Human Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand
| | - Pornpan Sukboon
- Community Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand
| | - Weerachat Srichan
- Community Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand
| | - Sasiumphai Purttiponthanee
- Research and Innovation Service Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand
| | | | - Mourad Moursi
- Intake Center for Dietary Assessment, Washington, DC, USA
| | | | - Nazia Binte Ali
- Department of Global Health and Populations, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Carolina Batis
- Health and Nutrition Research Center, National Institute of Public Health, Cuernavaca, Morelos, México
| | - Wafaie W Fawzi
- Department of Global Health and Populations, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Pattanee Winichagoon
- Community Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Wantanee Kriengsinyos
- Human Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand.
| |
Collapse
|
6
|
Mokiao RH, Fretts AM, Deen JF, Umans JG. Diet Quality and Kidney Outcomes in Adolescent and Adult American Indians: the Strong Heart Family Study. J Racial Ethn Health Disparities 2023:10.1007/s40615-023-01735-x. [PMID: 37526878 DOI: 10.1007/s40615-023-01735-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/17/2023] [Accepted: 07/21/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND The burden of kidney disease is exceedingly high among American Indians (AIs). We sought to examine the relationship of diet quality, a modifiable risk factor, and kidney outcomes in AI adolescents and adults, hypothesizing that healthier diets are associated with lower odds of incident albuminuria and eGFR decline. METHODS This is an analysis from the Strong Heart Family Study, a longitudinal study of cardiovascular disease and its risk factors among AIs from Arizona, North and South Dakota, and Oklahoma (n = 1720, mean age 39 + / - 16 years, 16% adolescents at baseline). Participants completed two exams (baseline: 2001-2003; follow-up: 2007-2009). The primary exposure was diet quality, expressed as the Alternative Healthy Eating Index 2010 (AHEI), on a 110-point scale (assessed using a 119-item Block food frequency questionnaire). The primary outcomes were as follows: 1) incident albuminuria (albumin to creatinine ratio 30 mg/g or greater); and 2) eGFR decline of 30% or greater. Generalized estimating equations were used to examine the association of AHEI (in quartiles) with outcomes. RESULTS Ten percent of participants (6% of adolescents) had incident albuminuria and 2% of participants (2% of adolescents) had eGFR decline. For those with normal fasting glucose levels, the odds ratio (OR) for incident albuminuria comparing extreme quartiles of diet quality (least healthy [reference] versus healthiest quartiles) was 0.48 (95% CI 0.28, 0.81) after adjustment for demographics and comorbidities. CONCLUSIONS For American Indians with normal fasting glucose, higher diet quality decreases the odds of developing albuminuria. These findings inform future efforts to prevent CKD in American Indian adolescents and young adults.
Collapse
Affiliation(s)
- Reya H Mokiao
- Seattle Children's Hospital, 4800 Sandpoint Way NE, Seattle, WA, 98105, USA.
- University of Washington, Seattle, WA, USA.
| | | | - Jason F Deen
- Seattle Children's Hospital, 4800 Sandpoint Way NE, Seattle, WA, 98105, USA
- University of Washington, Seattle, WA, USA
| | - Jason G Umans
- MedStar Health Research Institute, Hyattsville, MD, USA
- Georgetown University, Washington, DC, USA
| |
Collapse
|
7
|
Hellbach F, Baumeister SE, Wilson R, Wawro N, Dahal C, Freuer D, Hauner H, Peters A, Winkelmann J, Schwettmann L, Rathmann W, Kronenberg F, Koenig W, Meisinger C, Waldenberger M, Linseisen J. Association between Usual Dietary Intake of Food Groups and DNA Methylation and Effect Modification by Metabotype in the KORA FF4 Cohort. Life (Basel) 2022; 12:life12071064. [PMID: 35888152 PMCID: PMC9318948 DOI: 10.3390/life12071064] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 11/17/2022] Open
Abstract
Associations between diet and DNA methylation may vary among subjects with different metabolic states, which can be captured by clustering populations in metabolically homogenous subgroups, called metabotypes. Our aim was to examine the relationship between habitual consumption of various food groups and DNA methylation as well as to test for effect modification by metabotype. A cross-sectional analysis of participants (median age 58 years) of the population-based prospective KORA FF4 study, habitual dietary intake was modeled based on repeated 24-h diet recalls and a food frequency questionnaire. DNA methylation was measured using the Infinium MethylationEPIC BeadChip providing data on >850,000 sites in this epigenome-wide association study (EWAS). Three metabotype clusters were identified using four standard clinical parameters and BMI. Regression models were used to associate diet and DNA methylation, and to test for effect modification. Few significant signals were identified in the basic analysis while many significant signals were observed in models including food group-metabotype interaction terms. Most findings refer to interactions of food intake with metabotype 3, which is the metabotype with the most unfavorable metabolic profile. This research highlights the importance of the metabolic characteristics of subjects when identifying associations between diet and white blood cell DNA methylation in EWAS.
Collapse
Affiliation(s)
- Fabian Hellbach
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilian University of Munich, Marchioninistr. 15, 81377 Munich, Germany; (N.W.); (J.L.)
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
- Correspondence: ; Tel.: +49-821-598-6473
| | - Sebastian-Edgar Baumeister
- Institute of Health Services Research in Dentistry, Medical Faculty, University of Münster, Albert-Schweitzer-Campus 1, 48149 Münster, Germany;
| | - Rory Wilson
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; (R.W.); (A.P.); (M.W.)
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Nina Wawro
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilian University of Munich, Marchioninistr. 15, 81377 Munich, Germany; (N.W.); (J.L.)
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
| | - Chetana Dahal
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
| | - Dennis Freuer
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
| | - Hans Hauner
- Else Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany;
- Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992 Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; (R.W.); (A.P.); (M.W.)
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf’m Hennekamp 65, 40225 Düsseldorf, Germany;
| | - Juliane Winkelmann
- Institute of Neurogenomic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany;
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany;
- Department of Economics, Martin Luther University Halle-Wittenberg, 06099 Halle, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf’m Hennekamp 65, 40225 Düsseldorf, Germany;
| | - Florian Kronenberg
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstr. 41, 6020 Innsbruck, Austria;
| | - Wolfgang Koenig
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Pettenkoferstr. 8A & 9, 80336 Munich, Germany;
- German Heart Centre Munich, Technical University Munich, Lazarettstr. 36, 80636 Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Helmholtzstr. 22, 89081 Ulm, Germany
| | - Christa Meisinger
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
| | - Melanie Waldenberger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; (R.W.); (A.P.); (M.W.)
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf’m Hennekamp 65, 40225 Düsseldorf, Germany;
| | - Jakob Linseisen
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilian University of Munich, Marchioninistr. 15, 81377 Munich, Germany; (N.W.); (J.L.)
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
| |
Collapse
|
8
|
Rojo-López MI, Castelblanco E, Real J, Hernández M, Falguera M, Amigó N, Julve J, Alonso N, Franch-Nadal J, Granado-Casas M, Mauricio D. Advanced Quantitative Lipoprotein Characteristics Do Not Relate to Healthy Dietary Patterns in Adults from a Mediterranean Area. Nutrients 2021; 13:4369. [PMID: 34959921 PMCID: PMC8706087 DOI: 10.3390/nu13124369] [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: 10/27/2021] [Revised: 12/01/2021] [Accepted: 12/03/2021] [Indexed: 11/16/2022] Open
Abstract
We aimed to assess the potential relationship between dietary patterns (i.e., Mediterranean diet and healthy eating) and the advanced lipoprotein profile (ALP) in a representative cohort of the Mediterranean population. Thus, ALP data from 1142 participants, including 222 with type 1 (19.4%) and 252 type 2 diabetes (22.1%), and 668 subjects without diabetes were used to study cross-sectional associations between quantitative characteristics of lipoproteins and adherence to the Mediterranean diet. The alternate Mediterranean diet score (aMED) and the alternate healthy eating index (aHEI) were calculated. The ALP was determined by nuclear magnetic resonance (NMR) spectrometry. Bivariable and multivariable analyses were performed. Participants in the third tertile of the aMED showed higher levels of low-density lipoprotein triglycerides (LDL-TG) (mean (SD) 17.5 (5.0); p = 0.037), large high-density lipoprotein particles (HDL-P) (0.3 (0.1); p = 0.037), and medium low-density lipoprotein particles (LDL-P) (434.0 (143.0); p = 0.037). In comparison with participants in the second and first tertiles of the aHEI, participants in the third tertile had higher levels of LDL-TG (17.7 (5.0); p = 0.010), and large HDL-P (0.3 (0.1); p = 0.002), IDL-C (11.8 (5.0); p = 0.001), intermediate-density lipoprotein triglycerides (IDL-TG) (13.2 (4.2); p < 0.001), LDL-TG (17.7(5.0); p = 0.010), high-density lipoprotein triglycerides (HDL-TG) (14.5 (4.4); p = 0.029,) large HDL-P (0.3 (0.1); p = 0.002) and very-low-density lipoprotein particles (VLDL-P) size (42.1 (0.2); p = 0.011). The adjusted-multivariable analysis for potential confounding variables did not show any association between the lipoproteins and dietary patterns (i.e., aMED and aHEI). In conclusion, none of the quantitative characteristics of lipoproteins were concomitantly associated with the extent of adherence to the Mediterranean diet measured using the aMED or aHEI scores in the studied population. Our findings also revealed that people with the highest adherence were older, had a higher body mass index (BMI) and more frequently had dyslipidemia, hypertension, or diabetes than those with the lowest adherence to the Mediterranean diet (MDiet). Thus, further research may be needed to assess the potential role of the dietary pattern on the ALP.
Collapse
Affiliation(s)
- Marina Idalia Rojo-López
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain; (M.I.R.-L.); (J.J.)
| | - Esmeralda Castelblanco
- Department of Internal Medicine, Endocrinology, Metabolism and Lipid Research Division, Washington University School of Medicine, St Louis, MO 63110, USA;
| | - Jordi Real
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.R.); (N.A.); (N.A.); (J.F.-N.)
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Institut Universitari d’Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), 08041 Barcelona, Spain
| | - Marta Hernández
- Department of Endocrinology & Nutrition, University Hospital Arnau de Vilanova, 25198 Lleida, Spain;
- Lleida Institute for Biomedical Research Dr. Pifarré Foundation IRBLleida, University of Lleida, 25198 Lleida, Spain;
| | - Mireia Falguera
- Lleida Institute for Biomedical Research Dr. Pifarré Foundation IRBLleida, University of Lleida, 25198 Lleida, Spain;
- Primary Health Care Centre Cervera, Gerència d’Atenció Primaria, Institut Català de la Salut, 25200 Lleida, Spain
| | - Núria Amigó
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.R.); (N.A.); (N.A.); (J.F.-N.)
- Department of Basic Medical Sciences, Universitat RoviraiVirgili, IISPV, 43007 Tarragona, Spain
- Biosfer Teslab, SL., 43204 Reus, Spain
| | - Josep Julve
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain; (M.I.R.-L.); (J.J.)
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.R.); (N.A.); (N.A.); (J.F.-N.)
- Department of Biochemistry and Molecular Biology, Universitat Autònoma de Barcelona, 08041 Barcelona, Spain
| | - Núria Alonso
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.R.); (N.A.); (N.A.); (J.F.-N.)
- Endocrinology and Nutrition Department, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, 08041 Barcelona, Spain
| | - Josep Franch-Nadal
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.R.); (N.A.); (N.A.); (J.F.-N.)
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Institut Universitari d’Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), 08041 Barcelona, Spain
- Primary Health Care Centre Raval Sud, Gerència d’Atenció Primaria Barcelona, InstitutCatalà de la Salut, 08001 Barcelona, Spain
| | - Minerva Granado-Casas
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain; (M.I.R.-L.); (J.J.)
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.R.); (N.A.); (N.A.); (J.F.-N.)
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Institut Universitari d’Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), 08041 Barcelona, Spain
- Lleida Institute for Biomedical Research Dr. Pifarré Foundation IRBLleida, University of Lleida, 25198 Lleida, Spain;
| | - Dídac Mauricio
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain; (M.I.R.-L.); (J.J.)
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.R.); (N.A.); (N.A.); (J.F.-N.)
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Institut Universitari d’Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), 08041 Barcelona, Spain
- Faculty of Medicine, University of Vic (UVIC/UCC), 08500 Vic, Spain
| |
Collapse
|
9
|
Ren X, Gao J, Han T, Sun C. Association between risk of type 2 diabetes and changes in energy intake at breakfast and dinner over 14 years: a latent class trajectory analysis from the China health and nutrition Survey, 1997-2011. BMJ Open 2021; 11:e046183. [PMID: 34266840 PMCID: PMC8286767 DOI: 10.1136/bmjopen-2020-046183] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE This study aimed to investigate the association between the trajectories of energy consumption at dinner versus breakfast and the risk of type 2 diabetes (T2D). DESIGN Cohort study. SETTING The study was conducted in China. PARTICIPANTS A total of 10 727 adults, including 5239 men and 5488 women, with a mean age of 42.7±11.2 years and a mean follow-up time of 9.1 years, met the study criteria and completed a questionnaire about energy intake and diabetes status from the China Health and Nutrition Survey in 1997-2011. PRIMARY OUTCOME MEASURES Participants were divided into subgroups based on the trajectories of the ratio of energy consumption at dinner versus breakfast. Cox multivariate regression models were used to explore the associations between different trajectories and the risk of T2D after adjustment for confounders and their risk factors. Mediation analysis was performed to explore the intermediary effect of triacylglycerol (TG), total cholesterol (TC), uric acid (UA) and apolipoprotein B (ApoB) between the trajectories and the risk of T2D. RESULTS For energy consumption at dinner versus breakfast, compared with a low-stable trajectory, the adjusted HR of T2D in low-increasing from early-stage trajectory was 1.29 (95% CI 1.04 to 1.60). TG, TC, UA and ApoB were significantly higher in low-increasing from early-stage trajectory than other trajectories and play partial regulation roles between trajectories and T2D. CONCLUSIONS This study emphasised the harmful effect of a gradual increase in the ratio of energy consumption at dinner versus breakfast from early stage on the development of T2D and partially mediated by TG, TC, UA and ApoB, highlighting that it is necessary to intake more energy at breakfast compared with dinner to prevent T2D in adults.
Collapse
Affiliation(s)
- Xiyun Ren
- Department of Nutrition and Food Hygiene, Harbin Medical University, Harbin, China
| | - Jian Gao
- Department of Nutrition and Food Hygiene, Harbin Medical University, Harbin, China
| | - Tianshu Han
- Department of Nutrition and Food Hygiene, Harbin Medical University, Harbin, China
| | - Changhao Sun
- Department of Nutrition and Food Hygiene, Harbin Medical University, Harbin, China
| |
Collapse
|
10
|
Hou X, Guan Y, Tang Y, Song A, Zhao J, Ren L, Chen S, Wei L, Ma H, Song G. A correlation study of the relationships between nonalcoholic fatty liver disease and serum triglyceride concentration after an oral fat tolerance test. Lipids Health Dis 2021; 20:54. [PMID: 34034748 PMCID: PMC8152134 DOI: 10.1186/s12944-021-01483-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 05/18/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) has become one of the most common chronic liver diseases worldwide. Triglyceride (TG) accumulation is central to NAFLD development. People now spend most of their day in the postprandial state, and the measurement of postprandial blood lipid concentration can make up for the lack of simple detection of fasting blood lipids. Postprandial triglyceride (PTG) is commonly used as a surrogate for postprandial blood lipid concentrations, and many studies have shown that PTG is a risk factor for NAFLD. The aim of the present study was to investigate the relationship between PTG concentration during oral fat tolerance testing (OFTT) and NAFLD. METHODS A total of 472 Chinese adults, aged 25 to 65 years, were enrolled in the study. All the participants underwent OFTT. The serum concentrations of TG and other lipids were measured, and their relationships with NAFLD were analyzed. RESULTS Of the 472 participants, 155 were diagnosed with NAFLD. The fasting and postprandial TG concentrations of the participants with NAFLD were higher than those of healthy participants (P < 0.05). The TG concentrations of the healthy participants peaked 4 h postprandially, whereas those of the participants with NAFLD peaked 6 h postprandially and reached higher peak values. Postprandial TG concentration was significantly associated with a higher risk of NAFLD. CONCLUSIONS High PTG is positively related to a higher risk of NAFLD, and the PTG concentrations of patients with NAFLD are higher than in healthy individuals, with a delayed peak. Therefore, 4-h PTG may represent a potential marker of NAFLD. TRIAL REGISTRATION ChiCTR1800019514 .
Collapse
Affiliation(s)
- Xiaoyu Hou
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, China.,Department of Endocrinology, Hebei General Hospital, 348, Heping West Road, Shijiazhuang, Hebei, 050051, People's Republic of China
| | - Yunpeng Guan
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, China.,Department of Endocrinology, Hebei General Hospital, 348, Heping West Road, Shijiazhuang, Hebei, 050051, People's Republic of China
| | - Yong Tang
- Department of Endocrinology, Hebei General Hospital, 348, Heping West Road, Shijiazhuang, Hebei, 050051, People's Republic of China
| | - An Song
- Key laboratory of Endocrinology, Ministry of Health, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiajun Zhao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China
| | - Luping Ren
- Department of Endocrinology, Hebei General Hospital, 348, Heping West Road, Shijiazhuang, Hebei, 050051, People's Republic of China
| | - Shuchun Chen
- Department of Endocrinology, Hebei General Hospital, 348, Heping West Road, Shijiazhuang, Hebei, 050051, People's Republic of China
| | - Limin Wei
- Department of Endocrinology, Hebei General Hospital, 348, Heping West Road, Shijiazhuang, Hebei, 050051, People's Republic of China
| | - Huijuan Ma
- Department of Endocrinology, Hebei General Hospital, 348, Heping West Road, Shijiazhuang, Hebei, 050051, People's Republic of China
| | - Guangyao Song
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, China. .,Department of Endocrinology, Hebei General Hospital, 348, Heping West Road, Shijiazhuang, Hebei, 050051, People's Republic of China.
| |
Collapse
|