125 results on '"Hsia, Daniel S."'
Search Results
102. Step Tracking with Goals Increases Children's Weight Loss in Behavioral Intervention
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Staiano, Amanda E., primary, Beyl, Robbie A., additional, Hsia, Daniel S., additional, Jarrell, Amber R., additional, Katzmarzyk, Peter T., additional, Mantzor, Savarra, additional, Newton, Robert L., additional, and Tyson, Patrice, additional
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- 2017
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103. Implications of the Hemoglobin Glycation Index on the Diagnosis of Prediabetes and Diabetes
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Hsia, Daniel S, Rasouli, Neda, Pittas, Anastassios G, Lary, Christine W, Peters, Anne, Lewis, Michael R, Kashyap, Sangeeta R, Johnson, Karen C, LeBlanc, Erin S, Phillips, Lawrence S, Hempe, James M, and Desouza, Cyrus V
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- 2020
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104. Early Antibiotic Exposure and Weight Outcomes in Young Children.
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Block, Jason P., Bailey, L. Charles, Gillman, Matthew W., Lunsford, Doug, Daley, Matthew F., Eneli, Ihuoma, Finkelstein, Jonathan, Heerman, William, Horgan, Casie E., Hsia, Daniel S., Jay, Melanie, Rao, Goutham, Reynolds, Juliane S., Rifas-Shiman, Sheryl L., Sturtevant, Jessica L., Toh, Sengwee, Trasande, Leonardo, Young, Jessica, and Forrest, Christopher B.
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- 2018
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105. An update on sodium-glucose co-transporter-2 inhibitors for the treatment of diabetes mellitus
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Hsia, Daniel S., primary, Grove, Owen, additional, and Cefalu, William T., additional
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- 2016
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106. The Burden of Obesity, Elevated Blood Pressure, and Diabetes in Uninsured and Underinsured Adolescents
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Staiano, Amanda E., primary, Morrell, Madeline, additional, Hsia, Daniel S., additional, Hu, Gang, additional, and Katzmarzyk, Peter T., additional
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- 2016
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107. Effects of a higher vs. lower protein diet on weight loss in teenagers: Results from a randomized controlled trial
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Apolzan, John William, primary, Hsia, Daniel S, additional, and Martin, Corby K, additional
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- 2016
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108. Validation of an integrated pedal desk and electronic behavior tracking platform
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Schuna, John M., primary, Tudor-Locke, Catrine, additional, Proença, Mahara, additional, Barreira, Tiago V., additional, Hsia, Daniel S., additional, Pitta, Fabio, additional, Vatsavai, Padma, additional, Guidry, Richard D., additional, Magnusen, Matthew R., additional, Cowley, Amanda D., additional, and Martin, Corby K., additional
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- 2016
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109. Obesity Screening and Treatment: Practices of Louisiana Pediatric Healthcare Providers
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Staiano, Amanda E., primary, Hsia, Daniel S., additional, and Broyles, Stephanie T., additional
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- 2016
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110. Baseline Characteristics of the Vitamin D and Type 2 Diabetes (D2d) Study: A Contemporary Prediabetes Cohort That Will Inform Diabetes Prevention Efforts.
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LeBlanc, Erin S., Pratley, Richard E., Dawson-Hughes, Bess, Staten, Myrlene A., Sheehan, Patricia R., Lewis, Michael R., Peters, Anne, Kim, Sun H., Chatterjee, Ranee, Aroda, Vanita R., Chadha, Chhavi, Neff, Lisa M., Brodsky, Irwin G., Rosen, Clifford, Desouza, Cyrus V., Foreyt, John P., Hsia, Daniel S., Johnson, Karen C., Raskin, Philip, and Kashyap, Sangeeta R.
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TYPE 2 diabetes prevention ,VITAMIN D ,PREDIABETIC state ,RANDOMIZED controlled trials - Abstract
Objective: To describe baseline characteristics of the Vitamin D and Type 2 Diabetes (D2d) study, the first large U.S. diabetes prevention clinical trial to apply current American Diabetes Association (ADA) criteria for prediabetes.Research Design and Methods: This is a multicenter (n = 22 sites), randomized, double-blind, placebo-controlled, primary prevention clinical trial testing effects of oral daily 4,000 IU cholecalciferol (D3) compared with placebo on incident diabetes in U.S. adults at risk for diabetes. Eligible participants were at risk for diabetes, defined as not meeting criteria for diabetes but meeting at least two 2010 ADA glycemic criteria for prediabetes: fasting plasma glucose (FPG) 100-125 mg/dL, 2-h postload glucose (2hPG) after a 75-g oral glucose load 140-199 mg/dL, and/or a hemoglobin A1c (HbA1c) 5.7-6.4% (39-46 mmol/mol).Results: A total of 2,423 participants (45% of whom were women and 33% nonwhite) were randomized to cholecalciferol or placebo. Mean (SD) age was 59 (9.9) years and BMI 32 (4.5) kg/m2. Thirty-five percent met all three prediabetes criteria, 49% met the FPG/HbA1c criteria only, 9.5% met the 2hPG/FPG criteria only, and 6.3% met the 2hPG/HbA1c criteria only. Black participants had the highest mean HbA1c and lowest FPG concentration compared with white, Asian, and other races (P < 0.01); 2hPG concentration did not differ among racial groups. When compared with previous prediabetes cohorts, the D2d cohort had lower mean 2hPG concentration but similar HbA1c and FPG concentrations.Conclusions: D2d will establish whether vitamin D supplementation lowers risk of diabetes and will inform about the natural history of prediabetes per contemporary ADA criteria. [ABSTRACT FROM AUTHOR]- Published
- 2018
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111. Effect of biological variation in HbA1cand blood glucose on the diagnosis of prediabetes
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Hempe, James M., Yang, Shengping, and Hsia, Daniel S.
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People with a low or high haemoglobin glycation index (HGI) have lower or higher HbA1c than other people with the same FPG. This study compared the prevalence of prediabetes based on FPG, 2hOGTT and HbA1c in people with low, moderate or high HGI. Prediabetes was diagnosed based on ADA cutpoints in 10,488 NHANES participants without self‐reported diabetes. HGI was calculated as the difference between a participant's observed HbA1c and a predicted HbA1c where predicted HbA1c = 0.024 FPG + 3.1. Participants were divided into low (HGI < −0.15%), moderate (HGI −0.15% to +0.15%) and high (HGI > +0.15%) HGI subgroups. The prevalence of prediabetes was 42.4% based on FPG, 27.2% based on HbA1c and 17.2% based on 2hOGTT. FPG and HbA1c thus overdiagnosed prediabetes by 25.2% and 10.0%, respectively, compared to the OGTT gold standard. Prevalence was (1) similar in low, moderate and high HGI participants based on 2hOGTT, (2) highest in low HGI participants based on FPG, and (3) highest in high HGI participants based on HbA1c. Among participants with mismatched FPG and HbA1c, OGTT was normal in (1) 79.5% of participants with normal FPG but prediabetic HbA1c (mean HGI = +0.53%), and (2) 75.2% of participants with normal HbA1c but prediabetic FPG (mean HGI = −0.30%). FPG overdiagnosed prediabetes in people with low HGI. HbA1c overdiagnosed prediabetes in people with high HGI. Clinical use of HGI could improve prediabetes diagnosis and help health care providers avoid inappropriate or delayed treatment of people with extremes of HGI. The prevalence of prediabetes based on 2hOGTT was similar in NHANES participants with low, moderate or high HGI. The prevalence of prediabetes based on FPG was disproportionally higher in low HGI participants while the prevalence of prediabetes based on HbA1c was disproportionally higher in high HGI participants. HGI innovatively incorporates HbA1c and FPG into one value that simplifies risk assessment and limits over diagnosis or underdiagnosis of prediabetes.
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- 2023
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112. A randomized controlled exercise training trial on insulin sensitivity in African American men: The ARTIIS study
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Newton, Robert L., primary, Johnson, William D., additional, Hendrick, Chelsea, additional, Harris, Melissa, additional, Andrews, Emanuel, additional, Johannsen, Neil, additional, Rodarte, Ruben Q., additional, Hsia, Daniel S., additional, and Church, Timothy S., additional
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- 2015
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113. Addition of a Gastrointestinal Microbiome Modulator to Metformin Improves Metformin Tolerance and Fasting Glucose Levels
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Burton, Jeffrey H., primary, Johnson, Matthew, additional, Johnson, Jolene, additional, Hsia, Daniel S., additional, Greenway, Frank L., additional, and Heiman, Mark L., additional
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- 2015
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114. The relationship between obesity and type 2 diabetes—the role of gut factors
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Hsia, Daniel S., primary and Cefalu, William T., additional
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- 2015
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115. Increased gluconeogenesis in youth with newly diagnosed type 2 diabetes
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Chung, Stephanie T., primary, Hsia, Daniel S., additional, Chacko, Shaji K., additional, Rodriguez, Luisa M., additional, and Haymond, Morey W., additional
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- 2014
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116. Effects of a higher vs. lower protein diet on weight loss in teenagers: Results from a randomized controlled trial
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John Apolzan, Hsia, Daniel S., and Martin, Corby K.
117. Designing a Clinical Study With Dietary Supplements: It's All in the Details
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Floyd, Z. Elizabeth, Ribnicky, David M., Raskin, Ilya, Hsia, Daniel S., Floyd, Z. Elizabeth, Ribnicky, David M., Raskin, Ilya, and Hsia, Daniel S.
118. Designing a Clinical Study With Dietary Supplements: It's All in the Details
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Floyd, Z. Elizabeth, Ribnicky, David M., Raskin, Ilya, Hsia, Daniel S., Floyd, Z. Elizabeth, Ribnicky, David M., Raskin, Ilya, and Hsia, Daniel S.
119. A randomized controlled exercise training trial on insulin sensitivity in African American men: The ARTIIS study: Major category: study design, statistical design, study protocols.
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Jr.Newton, Robert L., Johnson, William D., Hendrick, Chelsea, Harris, Melissa, IIIAndrews, Emanuel, Johannsen, Neil, Rodarte, Ruben Q., Hsia, Daniel S., and Church, Timothy S.
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RANDOMIZED controlled trials , *EXERCISE , *CLINICAL trials , *DISEASES in African Americans , *DRUG design - Abstract
Background Lack of regular physical activity at prescribed intensity levels is a modifiable risk factor for insulin resistance and the development of diabetes. African American men are at increased risk for developing diabetes and most African American men are not meeting the current recommended levels of physical activity. The primary objective of the Aerobic Plus Resistance Training and Insulin Resistance in African American Men (ARTIIS) study is to determine the effectiveness of an exercise training intervention aimed at reducing diabetes risk factors in African American men at risk for developing diabetes. Methods Insufficiently active 35–70 year old African American men with a family history of diabetes were eligible for the study. The 5-month randomized controlled trial assigns 116 men to an exercise training or healthy living control arm. The exercise training arm combines aerobic and resistance training according to the current national physical activity recommendations and is conducted in community (YMCA) facilities. The healthy living arm receives information promoting healthy lifestyle changes. Outcomes Insulin response to an oral glucose load is the primary outcome measure, and changes in physiological parameters, cardiorespiratory fitness, strength, body composition, and psychological well-being comprise the secondary outcomes. Conclusions The ARTIIS study is one of the first adequately powered, rigorously designed studies to investigate the effects of an aerobic plus resistance exercise training program and to assess adherence to exercise training in community facilities, in African American men. [ABSTRACT FROM AUTHOR]
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- 2015
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120. Relationship Between Average Glucose Levels and HbA1c Differs Across Racial Groups: A Substudy of the GRADE Randomized Trial.
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Nathan DM, Herman WH, Larkin ME, Krause-Steinrauf H, Abou Assi H, Ahmann AJ, Brown-Friday J, Hsia DS, Harindhanavudhi T, Johnson M, Arends VL, Butera NM, Rosin SP, Lachin JM, and Younes N
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Objective: To determine whether the relationship between average glucose (AG) levels and hemoglobin A1c (HbA1c) differs across racial/ethnic groups., Research Design and Methods: We performed a prospective substudy of GRADE, a comparative effectiveness randomized trial conducted in 36 centers in the U.S. A total of 1,454 of the 5,047 participants in the GRADE cohort, including 534 non-Hispanic White (NHW), 389 non-Hispanic Black (NHB), and 327 Hispanic White patients and 204 patients of other racial/ethnic backgrounds, were included in the substudy. Continuous glucose monitoring (CGM) performed for 10 days was used to calculate AG10. Immediately after CGM, HbA1c and glycated albumin were measured. Fasting plasma glucose (FPG) and glucose area under the curve (AUC) were derived from a 75-g oral glucose tolerance test., Results: The relationship between AG10 and HbA1c was significantly different for NHB compared with NHW patients and those of other racial/ethnic groups. HbA1c levels were 0.2-0.6 percentage points higher in NHB than in NHW patients for AG10 levels from 100 to 250 mg/dL. For an HbA1c of 7%, AG10 was 11 mg/dL higher for NHW than for NHB patients. Similar findings were observed across races for relationships of FPG and AUC with HbA1c and for glucose measurements with glycated albumin levels. Differences in the relationship between AG10 and HbA1c across racial groups remained after adjustments for any demographic or other differences between racial/ethnic subgroups., Conclusions: The relationship between several measures of glucose with HbA1c and glycated albumin consistently differed across races. These findings should be considered in setting treatment goals and diagnostic levels., (© 2024 by the American Diabetes Association.)
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- 2024
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121. Characterizing Long COVID in Children and Adolescents.
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Gross RS, Thaweethai T, Kleinman LC, Snowden JN, Rosenzweig EB, Milner JD, Tantisira KG, Rhee KE, Jernigan TL, Kinser PA, Salisbury AL, Warburton D, Mohandas S, Wood JC, Newburger JW, Truong DT, Flaherman VJ, Metz TD, Karlson EW, Chibnik LB, Pant DB, Krishnamoorthy A, Gallagher R, Lamendola-Essel MF, Hasson DC, Katz SD, Yin S, Dreyer BP, Carmilani M, Coombs K, Fitzgerald ML, Güthe N, Hornig M, Letts RJ, Peddie AK, Taylor BD, Balaraman V, Bogie A, Bukulmez H, Dozor AJ, Eckrich D, Elliott AJ, Evans DN, Farkas JS, Faustino EVS, Fischer L, Gaur S, Harahsheh AS, Hasan UN, Hsia DS, Huerta-Montañez G, Hummel KD, Kadish MP, Kaelber DC, Krishnan S, Kosut JS, Larrabee J, Lim PPC, Michelow IC, Oliveira CR, Raissy H, Rosario-Pabon Z, Ross JL, Sato AI, Stevenson MD, Talavera-Barber MM, Teufel RJ, Weakley KE, Zimmerman E, Bind MC, Chan J, Guan Z, Morse RE, Reeder HT, Akshoomoff N, Aschner JL, Bhattacharjee R, Cottrell LA, Cowan K, D'Sa VA, Fiks AG, Gennaro ML, Irby K, Khare M, Guttierrez JL, McCulloh RJ, Narang S, Ness-Cochinwala M, Nolan S, Palumbo P, Ryu J, Salazar JC, Selvarangan R, Stein CR, Werzberger A, Zempsky WT, Aupperle R, Baker FC, Banich MT, Barch DM, Baskin-Sommers A, Bjork JM, Bookheimer SY, Brown SA, Casey BJ, Chang L, Clark DB, Dale AM, Dapretto M, Ernst TM, Fair DA, Feldstein Ewing SW, Foxe JJ, Freedman EG, Friedman NP, Garavan H, Gee DG, Gonzalez R, Gray KM, Heitzeg MM, Herting MM, Jacobus J, Laird AR, Larson CL, Lisdahl KM, Luciana M, Luna B, Madden PAF, McGlade EC, Müller-Oehring EM, Nagel BJ, Neale MC, Paulus MP, Potter AS, Renshaw PF, Sowell ER, Squeglia LM, Tapert S, Uddin LQ, Wilson S, Yurgelun-Todd DA, Foulkes AS, and Stockwell MS
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Importance: Most research to understand postacute sequelae of SARS-CoV-2 infection (PASC), or long COVID, has focused on adults, with less known about this complex condition in children. Research is needed to characterize pediatric PASC to enable studies of underlying mechanisms that will guide future treatment., Objective: To identify the most common prolonged symptoms experienced by children (aged 6 to 17 years) after SARS-CoV-2 infection, how these symptoms differ by age (school-age [6-11 years] vs adolescents [12-17 years]), how they cluster into distinct phenotypes, and what symptoms in combination could be used as an empirically derived index to assist researchers to study the likely presence of PASC., Design, Setting, and Participants: Multicenter longitudinal observational cohort study with participants recruited from more than 60 US health care and community settings between March 2022 and December 2023, including school-age children and adolescents with and without SARS-CoV-2 infection history., Exposure: SARS-CoV-2 infection., Main Outcomes and Measures: PASC and 89 prolonged symptoms across 9 symptom domains., Results: A total of 898 school-age children (751 with previous SARS-CoV-2 infection [referred to as infected] and 147 without [referred to as uninfected]; mean age, 8.6 years; 49% female; 11% were Black or African American, 34% were Hispanic, Latino, or Spanish, and 60% were White) and 4469 adolescents (3109 infected and 1360 uninfected; mean age, 14.8 years; 48% female; 13% were Black or African American, 21% were Hispanic, Latino, or Spanish, and 73% were White) were included. Median time between first infection and symptom survey was 506 days for school-age children and 556 days for adolescents. In models adjusted for sex and race and ethnicity, 14 symptoms in both school-age children and adolescents were more common in those with SARS-CoV-2 infection history compared with those without infection history, with 4 additional symptoms in school-age children only and 3 in adolescents only. These symptoms affected almost every organ system. Combinations of symptoms most associated with infection history were identified to form a PASC research index for each age group; these indices correlated with poorer overall health and quality of life. The index emphasizes neurocognitive, pain, and gastrointestinal symptoms in school-age children but change or loss in smell or taste, pain, and fatigue/malaise-related symptoms in adolescents. Clustering analyses identified 4 PASC symptom phenotypes in school-age children and 3 in adolescents., Conclusions and Relevance: This study developed research indices for characterizing PASC in children and adolescents. Symptom patterns were similar but distinguishable between the 2 groups, highlighting the importance of characterizing PASC separately for these age ranges.
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- 2024
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122. Association of Age at Menarche with Inflammation and Glucose Metabolism Biomarkers in U.S. Adult Women: NHANES 1999-2018.
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Santos MP, Bazzano L, Carmichael O, O'Bryant S, Hsia DS, He J, and Ley SH
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Context: Early age at menarche (AAM) is a risk factor for type 2 diabetes later in life, but the pathogenic pathways that confer increased risk remain unknown., Objective: We examined the associations between AAM and inflammatory and glucose metabolism biomarkers among U.S. adult women who were free of diabetes., Methods: Using the National Health and Nutrition Examination Survey (NHANES) 1999-2018, 19,228 women over 20 years old who were free of self-reported cancer and diabetes were included in this cross-sectional analysis. AAM was the self-reported age at first menstruation. CRP, fasting glucose, fasting insulin, and ferritin levels were measured as biomarkers of inflammation and glucose metabolism in adult blood samples using latex-enhanced nephelometry, enzymatic, and immunoassay methods. Multiple linear regression was used to relate AAM to the biomarkers., Results: The median age at the time of blood sample collection was 44 years (IQR, 33-62). After age adjustment, there was an association between a lower AAM and higher CRP (P-trend=0.006); fasting glucose (P-trend<0.0001); fasting insulin (P-trend <0.0001); and ferritin (p-trend<0.0001). These remained significant after additional adjustment for demographic, reproductive, lifestyle, and adiposity variables, except for ferritin. Smoking modified the effect of AAM on CRP (p-interaction = 0.014), fasting insulin (p-interaction <0.001), and fasting glucose (p-interaction<0.001). In stratified analysis, the observed associations became more pronounced in non-smokers, while they were attenuated to non-significance in active smokers., Conclusion: Earlier age at menarche is associated with an unfavorable inflammatory and glucose metabolic biomarker profile in a nationally representative sample of adult women free of diabetes, especially among non-smokers., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Endocrine Society.)
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- 2024
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123. Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design.
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Gross RS, Thaweethai T, Rosenzweig EB, Chan J, Chibnik LB, Cicek MS, Elliott AJ, Flaherman VJ, Foulkes AS, Gage Witvliet M, Gallagher R, Gennaro ML, Jernigan TL, Karlson EW, Katz SD, Kinser PA, Kleinman LC, Lamendola-Essel MF, Milner JD, Mohandas S, Mudumbi PC, Newburger JW, Rhee KE, Salisbury AL, Snowden JN, Stein CR, Stockwell MS, Tantisira KG, Thomason ME, Truong DT, Warburton D, Wood JC, Ahmed S, Akerlundh A, Alshawabkeh AN, Anderson BR, Aschner JL, Atz AM, Aupperle RL, Baker FC, Balaraman V, Banerjee D, Barch DM, Baskin-Sommers A, Bhuiyan S, Bind MC, Bogie AL, Bradford T, Buchbinder NC, Bueler E, Bükülmez H, Casey BJ, Chang L, Chrisant M, Clark DB, Clifton RG, Clouser KN, Cottrell L, Cowan K, D'Sa V, Dapretto M, Dasgupta S, Dehority W, Dionne A, Dummer KB, Elias MD, Esquenazi-Karonika S, Evans DN, Faustino EVS, Fiks AG, Forsha D, Foxe JJ, Friedman NP, Fry G, Gaur S, Gee DG, Gray KM, Handler S, Harahsheh AS, Hasbani K, Heath AC, Hebson C, Heitzeg MM, Hester CM, Hill S, Hobart-Porter L, Hong TKF, Horowitz CR, Hsia DS, Huentelman M, Hummel KD, Irby K, Jacobus J, Jacoby VL, Jone PN, Kaelber DC, Kasmarcak TJ, Kluko MJ, Kosut JS, Laird AR, Landeo-Gutierrez J, Lang SM, Larson CL, Lim PPC, Lisdahl KM, McCrindle BW, McCulloh RJ, McHugh K, Mendelsohn AL, Metz TD, Miller J, Mitchell EC, Morgan LM, Müller-Oehring EM, Nahin ER, Neale MC, Ness-Cochinwala M, Nolan SM, Oliveira CR, Osakwe O, Oster ME, Payne RM, Portman MA, Raissy H, Randall IG, Rao S, Reeder HT, Rosas JM, Russell MW, Sabati AA, Sanil Y, Sato AI, Schechter MS, Selvarangan R, Sexson Tejtel SK, Shakti D, Sharma K, Squeglia LM, Srivastava S, Stevenson MD, Szmuszkovicz J, Talavera-Barber MM, Teufel RJ 2nd, Thacker D, Trachtenberg F, Udosen MM, Warner MR, Watson SE, Werzberger A, Weyer JC, Wood MJ, Yin HS, Zempsky WT, Zimmerman E, and Dreyer BP
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- Humans, Adolescent, Child, Child, Preschool, Female, Young Adult, Adult, Male, Infant, SARS-CoV-2 isolation & purification, Infant, Newborn, Prospective Studies, Research Design, Cohort Studies, Post-Acute COVID-19 Syndrome, COVID-19 epidemiology, COVID-19 virology
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Importance: The prevalence, pathophysiology, and long-term outcomes of COVID-19 (post-acute sequelae of SARS-CoV-2 [PASC] or "Long COVID") in children and young adults remain unknown. Studies must address the urgent need to define PASC, its mechanisms, and potential treatment targets in children and young adults., Observations: We describe the protocol for the Pediatric Observational Cohort Study of the NIH's REsearching COVID to Enhance Recovery (RECOVER) Initiative. RECOVER-Pediatrics is an observational meta-cohort study of caregiver-child pairs (birth through 17 years) and young adults (18 through 25 years), recruited from more than 100 sites across the US. This report focuses on two of four cohorts that comprise RECOVER-Pediatrics: 1) a de novo RECOVER prospective cohort of children and young adults with and without previous or current infection; and 2) an extant cohort derived from the Adolescent Brain Cognitive Development (ABCD) study (n = 10,000). The de novo cohort incorporates three tiers of data collection: 1) remote baseline assessments (Tier 1, n = 6000); 2) longitudinal follow-up for up to 4 years (Tier 2, n = 6000); and 3) a subset of participants, primarily the most severely affected by PASC, who will undergo deep phenotyping to explore PASC pathophysiology (Tier 3, n = 600). Youth enrolled in the ABCD study participate in Tier 1. The pediatric protocol was developed as a collaborative partnership of investigators, patients, researchers, clinicians, community partners, and federal partners, intentionally promoting inclusivity and diversity. The protocol is adaptive to facilitate responses to emerging science., Conclusions and Relevance: RECOVER-Pediatrics seeks to characterize the clinical course, underlying mechanisms, and long-term effects of PASC from birth through 25 years old. RECOVER-Pediatrics is designed to elucidate the epidemiology, four-year clinical course, and sociodemographic correlates of pediatric PASC. The data and biosamples will allow examination of mechanistic hypotheses and biomarkers, thus providing insights into potential therapeutic interventions., Clinical Trials.gov Identifier: Clinical Trial Registration: http://www.clinicaltrials.gov. Unique identifier: NCT05172011., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Brett Anderson reported receiving direct support for work not related to RECOVER work/publications from Genentech and the National Institute of Allergy and Immunology. Walter Dehority reported receiving grant support from Merck and participating in research for the Moderna COVID-19 pediatric vaccine trial and the Pfizer Paxlovid trial. Alex Fiks reported receiving support from NJM insurance and personal consulting fees not related to this paper from Rutgers University and the American Academy of Pediatrics. Ashraf Harahsheh reported serving as a scientific advisory board member unrelated to this paper for OP2 DRUGS. Lawrence Kleinman reported serving as an unpaid member of the Board of Directors for the DARTNet Institute, as a principle investigator at Quality Matters, Inc., and as the Vice Chair for the Borough of Metuchen Board of Health. Dr. Kleinman also reported grant support for work not related to RECOVER work/publications from NIH, HRSA, and the Robert Wood Johnson Foundation. Dr. Kleinman also reported minority individual stock ownership in Apple Computer, Sanofi SA, Experion, GlaxoSmithKline, Magyar Bank, Regeneron Pharmaceuticals, JP Morgan Chase, and Amgen Inc. Torri Metz reported participating as a Principle Investigator in the medical advisory board for the planning of a Pfizer clinical trial of SARS-CoV-2 vaccination in pregnancy. She is also a principle investigator for a Pfizer study evaluating the pharmacokinetics of Paxlovid in pregnant people with COVID-19. Joshua Milner reported serving as a member of the Scientific Advisory Board for Blueprint Medicines, in a capacity unrelated to RECOVER work/publications. This does not alter our adherence to PLOS ONE policies on sharing data and materials., (Copyright: © 2024 Gross et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2024
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124. Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design.
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Gross R, Thaweethai T, Rosenzweig EB, Chan J, Chibnik LB, Cicek MS, Elliott AJ, Flaherman VJ, Foulkes AS, Witvliet MG, Gallagher R, Gennaro ML, Jernigan TL, Karlson EW, Katz SD, Kinser PA, Kleinman LC, Lamendola-Essel MF, Milner JD, Mohandas S, Mudumbi PC, Newburger JW, Rhee KE, Salisbury AL, Snowden JN, Stein CR, Stockwell MS, Tantisira KG, Thomason ME, Truong DT, Warburton D, Wood JC, Ahmed S, Akerlundh A, Alshawabkeh AN, Anderson BR, Aschner JL, Atz AM, Aupperle RL, Baker FC, Balaraman V, Banerjee D, Barch DM, Baskin-Sommers A, Bhuiyan S, Bind MC, Bogie AL, Buchbinder NC, Bueler E, Bükülmez H, Casey BJ, Chang L, Clark DB, Clifton RG, Clouser KN, Cottrell L, Cowan K, D'Sa V, Dapretto M, Dasgupta S, Dehority W, Dummer KB, Elias MD, Esquenazi-Karonika S, Evans DN, Faustino EVS, Fiks AG, Forsha D, Foxe JJ, Friedman NP, Fry G, Gaur S, Gee DG, Gray KM, Harahsheh AS, Heath AC, Heitzeg MM, Hester CM, Hill S, Hobart-Porter L, Hong TKF, Horowitz CR, Hsia DS, Huentelman M, Hummel KD, Iacono WG, Irby K, Jacobus J, Jacoby VL, Jone PN, Kaelber DC, Kasmarcak TJ, Kluko MJ, Kosut JS, Laird AR, Landeo-Gutierrez J, Lang SM, Larson CL, Lim PPC, Lisdahl KM, McCrindle BW, McCulloh RJ, Mendelsohn AL, Metz TD, Morgan LM, Müller-Oehring EM, Nahin ER, Neale MC, Ness-Cochinwala M, Nolan SM, Oliveira CR, Oster ME, Payne RM, Raissy H, Randall IG, Rao S, Reeder HT, Rosas JM, Russell MW, Sabati AA, Sanil Y, Sato AI, Schechter MS, Selvarangan R, Shakti D, Sharma K, Squeglia LM, Stevenson MD, Szmuszkovicz J, Talavera-Barber MM, Teufel RJ 2nd, Thacker D, Udosen MM, Warner MR, Watson SE, Werzberger A, Weyer JC, Wood MJ, Yin HS, Zempsky WT, Zimmerman E, and Dreyer BP
- Abstract
Importance: The prevalence, pathophysiology, and long-term outcomes of COVID-19 (post-acute sequelae of SARS-CoV-2 [PASC] or "Long COVID") in children and young adults remain unknown. Studies must address the urgent need to define PASC, its mechanisms, and potential treatment targets in children and young adults., Observations: We describe the protocol for the Pediatric Observational Cohort Study of the NIH's RE searching COV ID to E nhance R ecovery (RECOVER) Initiative. RECOVER-Pediatrics is an observational meta-cohort study of caregiver-child pairs (birth through 17 years) and young adults (18 through 25 years), recruited from more than 100 sites across the US. This report focuses on two of five cohorts that comprise RECOVER-Pediatrics: 1) a de novo RECOVER prospective cohort of children and young adults with and without previous or current infection; and 2) an extant cohort derived from the Adolescent Brain Cognitive Development (ABCD) study ( n =10,000). The de novo cohort incorporates three tiers of data collection: 1) remote baseline assessments (Tier 1, n=6000); 2) longitudinal follow-up for up to 4 years (Tier 2, n=6000); and 3) a subset of participants, primarily the most severely affected by PASC, who will undergo deep phenotyping to explore PASC pathophysiology (Tier 3, n=600). Youth enrolled in the ABCD study participate in Tier 1. The pediatric protocol was developed as a collaborative partnership of investigators, patients, researchers, clinicians, community partners, and federal partners, intentionally promoting inclusivity and diversity. The protocol is adaptive to facilitate responses to emerging science., Conclusions and Relevance: RECOVER-Pediatrics seeks to characterize the clinical course, underlying mechanisms, and long-term effects of PASC from birth through 25 years old. RECOVER-Pediatrics is designed to elucidate the epidemiology, four-year clinical course, and sociodemographic correlates of pediatric PASC. The data and biosamples will allow examination of mechanistic hypotheses and biomarkers, thus providing insights into potential therapeutic interventions., Clinical Trialsgov Identifier: Clinical Trial Registration: http://www.clinicaltrials.gov . Unique identifier: NCT05172011.
- Published
- 2023
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125. Family-Based Behavioral Treatment for Childhood Obesity: Caretaker-Reported Barriers and Facilitators.
- Author
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Staiano AE, Marker AM, Comeaux J, Frelier JM, Hsia DS, and Broyles ST
- Abstract
Background: Family-based behavioral treatments are effective ways to promote children's weight management through healthy eating and exercise. However, programs typically have high attrition and low attendance. The aim of this study was to obtain in-depth caregiver input on barriers and facilitators to participate in a family-based, behavioral childhood obesity treatment program., Methods: Three focus groups were facilitated among 21 parents/guardians at 2 school-based health centers and 1 federally qualified health center. Audio recordings were transcribed and uploaded into NVivo software to assist in thematic coding., Results: Focus group participants were females aged 18-57 years, of whom 71% were black, and 81% were not married. Participants listed numerous barriers: lack of time, frustration from prior unsuccessful weight-loss attempts, and the perceived cost of healthy foods and exercise options. Facilitators included a convenient location, a supportive weight-loss program leader, and rewards for the child's progress., Conclusion: Future interventions should incorporate caregivers' perspectives to develop sustainable, feasible strategies for the treatment of childhood obesity.
- Published
- 2017
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