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Turer CB, Park JJ, Gupta OT, Ramirez C, Basit MA, Heitjan DF, Barlow SE. Electronic phenotypes to distinguish clinician attention to high body mass index, hypertension, lipid disorders, fatty liver and diabetes in pediatric primary care: Diagnostic accuracy of electronic phenotypes compared to masked comprehensive chart review. Pediatr Obes 2023; 18:e13066. [PMID: 37458161 PMCID: PMC10825897 DOI: 10.1111/ijpo.13066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/30/2023] [Accepted: 06/07/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND/OBJECTIVES Electronic phenotyping is a method of using electronic-health-record (EHR) data to automate identifying a patient/population with a characteristic of interest. This study determines validity of using EHR data of children with overweight/obesity to electronically phenotype evidence of clinician 'attention' to high body mass index (BMI) and each of four distinct comorbidities. METHODS We built five electronic phenotypes classifying 2-18-year-old children with overweight/obesity (n = 17,397) by electronic/health-record evidence of distinct attention to high body mass index, hypertension, lipid disorders, fatty liver, and prediabetes/diabetes. We reviewed, selected and cross-checked random charts to define items clinicians select in EHRs to build problem lists, and to order medications, laboratory tests and referrals to electronically classify attention to overweight/obesity and each comorbidity. Operating characteristics of each clinician-attention phenotype were determined by comparing comprehensive chart review by reviewers masked to electronic classification who adjudicated evidence of clinician attention to high BMI and each comorbidity. RESULTS In a random sample of 817 visit-records reviewed/coded, specificity of each electronic phenotype is 99%-100% (with PPVs ranging from 96.8% for prediabetes/diabetes to 100% for dyslipidemia and hypertension). Sensitivities of the attention classifications range from 69% for hypertension (NPV, 98.9%) to 84.7% for high-BMI attention (NPV, 92.3%). CONCLUSIONS Electronic phenotypes for clinician attention to overweight/obesity and distinct comorbidities are highly specific, with moderate (BMI) to modest (each comorbidity) sensitivity. The high specificity supports using phenotypes to identify children with prior high-BMI/comorbidity attention.
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Affiliation(s)
- Christy B Turer
- Department of Pediatrics, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Department of Medicine, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Department of Population & Data Sciences, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Children's Health System of Dallas, Dallas, Texas, USA
| | - Jenny J Park
- Department of Medicine, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Department of Population & Data Sciences, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Department of Statistical Science, Southern Methodist University (SMU), Dallas, Texas, USA
| | - Olga T Gupta
- Department of Pediatrics, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Department of Population & Data Sciences, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Children's Health System of Dallas, Dallas, Texas, USA
- Department of Pediatrics, Duke University, Durham, North Carolina, USA
| | - Charina Ramirez
- Department of Pediatrics, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Children's Health System of Dallas, Dallas, Texas, USA
| | - Mujeeb A Basit
- Department of Medicine, University of Texas Southwestern (UTSW), Dallas, Texas, USA
| | - Daniel F Heitjan
- Department of Population & Data Sciences, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Department of Statistical Science, Southern Methodist University (SMU), Dallas, Texas, USA
| | - Sarah E Barlow
- Department of Pediatrics, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Department of Population & Data Sciences, University of Texas Southwestern (UTSW), Dallas, Texas, USA
- Children's Health System of Dallas, Dallas, Texas, USA
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Braddock A, Koopman RJ, Smith J, Lee AS, Holt McNair S, Hampl S, Wareg N, Clary M, Miller N, Turer CB. A Longitudinal Effectiveness Study of a Child Obesity Electronic Health Record Tool. J Am Board Fam Med 2022; 35:742-750. [PMID: 35896456 PMCID: PMC10443903 DOI: 10.3122/jabfm.2022.04.210385] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 01/12/2022] [Accepted: 02/14/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Primary-care providers, clinic staff, and nurses play an important role in reducing child obesity; yet time restraints and clinical demands compete with effective pediatric weight management and prevention. METHODS To investigate the potential impact of an electronic health record (EHR) enabled tool to assist primary care teams in addressing child obesity, we conducted a controlled effectiveness study of FitTastic compared with usual care on the BMI pattern of 291 children (2 to 17 years) up to 4 years later. RESULTS Per χ2 analysis, a greater proportion of children with baseline overweight/obesity in the EHR tool group than the control group had a favorable BMI pattern (32% vs 13%, P = .03). In logistic regression, FitTastic children were more likely than control children to have a favorable BMI pattern at follow-up (OR 3.8, 95% CI 1.1 to 13.2), adjusted for age, gender, race, and parental education. CONCLUSION Study findings suggest that EHR-enabled tools to assist primary care teams in managing child obesity may be useful for helping to address the weight in children with overweight/obesity, especially in younger children (2 to 5 years). Digital and EHR-enabled technologies may prove useful for partnering health care teams and families in the important tasks of setting positive, family-centered healthy lifestyle behavioral goals and managing child overweight and obesity.
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Affiliation(s)
- Amy Braddock
- From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
| | - Richelle J Koopman
- From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT)
| | - Jamie Smith
- From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT)
| | - Andy S Lee
- From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT)
| | - Samuel Holt McNair
- From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT)
| | - Sarah Hampl
- From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT)
| | - Nuha Wareg
- From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT)
| | - Megan Clary
- From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT)
| | - Natalie Miller
- From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT)
| | - Christy B Turer
- From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT)
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Abstract
PURPOSE OF REVIEW To review literature from 2016 to 2019 on clinical decision support (CDS) for diagnosis and management of hypertension in children and adults. RECENT FINDINGS Ten studies described hypertension CDS systems. Novel advances included the integration of patient-collected blood pressure data, automated information retrieval and management support, and use of CDS in low-resource/developing-world settings and in pediatrics. Findings suggest that CDS increases hypertension detection/control, yet many children and adults with hypertension remain undetected or undercontrolled. CDS challenges included poor usability (from lack of health record integration, excessive data entry requests, and wireless connectivity challenges) and lack of clinician trust in blood pressure measures. Hypertension CDS has improved but not closed gaps in the detection and control of hypertension in children and adults. The studies reviewed indicate that the usability of CDS and the system where CDS is deployed (e.g., commitment to high-quality blood pressure measurement/infrastructure) may impact CDS's ability to increase hypertension detection and control.
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Affiliation(s)
- Suchith Vuppala
- Department of Medicine, University of Texas Southwestern (UTSW) Medical School, Dallas, TX USA
| | - Christy B. Turer
- Departments of Pediatrics and Medicine, UTSW and Children’s Health, 5323 Harry Hines Blvd., Dallas, TX 75390-9063 USA
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Bismar N, Barlow SE, Brady TM, Turer CB. Pediatrician Communication About High Blood Pressure in Children With Overweight/Obesity During Well-Child Visits. Acad Pediatr 2020; 20:776-783. [PMID: 31783183 PMCID: PMC7247946 DOI: 10.1016/j.acap.2019.11.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 11/19/2019] [Accepted: 11/23/2019] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Despite recognition that hypertension is associated with childhood obesity, data suggest that high blood pressure (BP) is infrequently diagnosed in children. This study sought to examine provider communication with overweight school-age children regarding BP measurements that were high at well-child visits. METHODS Cross-sectional mixed-methods analysis of audio-recorded communication from well-child visits with overweight 6-12-year-olds. Data from the subset of children with elevated BPs were used for this study. Three BP measures obtained at the audio-recorded visit were averaged, paired with historical BPs stored in the health record, and compared to contemporary/Fourth-Report thresholds to determine if children had elevated/hypertensive BPs only at the audio-recorded visit or met hypertension-diagnostic criteria (hypertension-level BP ≥3 separate visits). Two reviewers used visit transcripts to categorize communication about BP as "absent," "unclear," or "direct." Provider use of a billing diagnosis for elevated BP/hypertension in visits with direct-BP-communication was explored. RESULTS In 36 of 126 (29%) visit-audio-recordings, children had elevated/hypertensive BPs. Thirty-three of the 36 eligible (92%) had intelligible audio-recordings. Of these, 9 (25%) were overweight and 24 (75%) had obesity. Seventeen (52%) had elevated BPs, and 16 (48%) hypertensive BPs. Ten (30%) met criteria for hypertension diagnosis. BP communication was absent in 20 visits (61%), unclear in 8 (24%), and direct in 5 visits (15%). Billing diagnoses for elevated BP/hypertension were entered at 4 of 5 (80%) visits with direct-BP communication. CONCLUSIONS Most overweight children with elevated BPs did not receive communication that BP is high at well-child visits. Relevant billing diagnoses may indicate direct-BP communication.
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Affiliation(s)
- Nora Bismar
- School of Medicine (N Bismar), University of Texas Southwestern (UTSW), Dallas, Tex
| | - Sarah E Barlow
- Division of Pediatric Gastroenterology, Department of Pediatrics (SE Barlow, CB Turer), University of Texas Southwestern (UTSW), Dallas, Tex; Department of Population Health and Data Science (SE Barlow, CB Turner), UTSW Medical Center, Dallas, Tex; Children's Health (SE Barlow, CB Turer), Dallas, Tex
| | - Tammy M Brady
- Division of Pediatric Nephrology, Department of Pediatrics (TM Brady), Johns Hopkins University School of Medicine, Baltimore, Md
| | - Christy B Turer
- Division of Pediatric Gastroenterology, Department of Pediatrics (SE Barlow, CB Turer), University of Texas Southwestern (UTSW), Dallas, Tex; Department of Population Health and Data Science (SE Barlow, CB Turner), UTSW Medical Center, Dallas, Tex; Children's Health (SE Barlow, CB Turer), Dallas, Tex.
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Turer CB, Skinner CS, Barlow SE. Algorithm to detect pediatric provider attention to high BMI and associated medical risk. J Am Med Inform Assoc 2019; 26:55-60. [PMID: 30445547 DOI: 10.1093/jamia/ocy126] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 09/10/2018] [Indexed: 12/26/2022] Open
Abstract
We developed and validated an algorithm that uses combinations of extractable electronic-health-record (EHR) indicators (diagnosis codes, orders for laboratories, medications, and referrals) that denote widely-recommended clinician practice behaviors: attention to overweight/obesity/body mass index alone (BMI Alone), with attention to hypertension/other comorbidities (BMI/Medical Risk), or neither (No Attention). Data inputs used for each EHR indicator were refined through iterative chart review to identify and resolve modifiable coding errors. Validation was performed through manual review of randomly selected visit encounters (n = 308) coded by the refined algorithm. Of 104 encounters coded as No Attention, 89.4% lacked any evidence (specificity) of attention to BMI/Medical Risk. Corresponding evidence (sensitivity) of attention to BMI Alone was identified in 96.0% (of 101 encounters coded as BMI Alone) and BMI/Medical Risk in 96.1% (of 103 encounters coded as BMI/Medical Risk). Our EHR data algorithm can validly determine provider attention to BMI alone, with Medical Risk, or neither.
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Affiliation(s)
- Christy B Turer
- Department of Pediatrics, University of Texas Southwestern Medical Center and Children's Health, Dallas, TX, USA.,Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Celette S Skinner
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sarah E Barlow
- Department of Pediatrics, University of Texas Southwestern Medical Center and Children's Health, Dallas, TX, USA.,Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
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Turer CB, Baum M, Dubourg L, Selistre LS, Skinner AC. Prevalence of hyperfiltration among US youth/young adults with overweight and obesity: A population-based association study. Obes Sci Pract 2019; 5:570-580. [PMID: 31890248 PMCID: PMC6934429 DOI: 10.1002/osp4.365] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/22/2019] [Accepted: 07/25/2019] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE Determine prevalence of hyperfiltration (high estimated glomerular filtration rate "eGFR" >95th percentile for age/sex) among youth and association with BMI classification. METHODS With the use of 1999 to 2016 National Health and Nutrition Examination Survey data from 12- to 29-year-olds, data for serum creatinine and thresholds for high eGFR were normed using a metabolically healthy subsample (no albuminuria, healthy weights, normal blood pressures, blood glucoses, lipids, and liver enzymes). Logistic regression examined the association of BMI classification (healthy weight, overweight, and obesity classes 1-3) with hyperfiltration (eGFR > 95th percentile for age/sex), adjusted for diabetes and other covariates. RESULTS Of 12- to 29-year-olds (N = 18 698), 27.4% (n = 5493) met criteria for entry into the "healthy subsample" and contributed data to derive normative values for serum creatinine/hyperfiltration thresholds. In the full sample, hyperfiltration prevalence in 12- to 29-year-olds classified as healthy-weight, overweight, and obesity classes 1 to 3 was 4.9%, 4.7%, 6.5%, 8.7%, and 11.8%, respectively (P < .001). In multivariable analysis, obesity classes 2 and 3 were associated with greater likelihood of hyperfiltration (adjusted ORs for class 2: 1.5, 95% CI, 1.1-2.1; and for class 3, 2.1, 95% CI, 1.5-2.9). Diabetes also was associated with hyperfiltration (AOR, 4.0; 95% CI, 2.2-7.4). CONCLUSION Obesity classes 2 to 3 are associated with hyperfiltration in youth. Age/sex-specific norms for creatinine and hyperfiltration thresholds may aid recognition of kidney dysfunction early.
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Affiliation(s)
- Christy B. Turer
- Departments of Pediatrics and Internal MedicineUniversity of Texas Southwestern and Children's Medical CenterDallasTexasUSA
| | - Michel Baum
- Departments of Pediatrics and Internal MedicineUniversity of Texas Southwestern and Children's Medical CenterDallasTexasUSA
| | - Laurence Dubourg
- Néphrologie, Dialyse, Hypertension Artérielle et Exploration Fonctionnelle Rénale, Groupement Hospitalier Edouard HerriotHospices Civils de LyonLyonFrance
- Université Claude BernardLyonFrance
| | - Luciano S. Selistre
- Néphrologie, Dialyse, Hypertension Artérielle et Exploration Fonctionnelle Rénale, Groupement Hospitalier Edouard HerriotHospices Civils de LyonLyonFrance
- Universidade de Caxias do SulCaxias do SulBrazil
- Coordenação de Aperfeiçoamento do Pessoal de Nível Superior (CAPES)BrasiliaBrazil
| | - Asheley C. Skinner
- Department of Population Health Sciences and Duke Clinical Research InstituteDuke University School of MedicineDurhamNorth CarolinaUSA
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Turer CB, Barlow SE, Sarwer DB, Adamson B, Sanders J, Ahn C, Zhang S, Flores G, Skinner CS. Association of Clinician Behaviors and Weight Change in School-Aged Children. Am J Prev Med 2019; 57:384-393. [PMID: 31377089 PMCID: PMC6702088 DOI: 10.1016/j.amepre.2019.04.029] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 04/23/2019] [Accepted: 04/24/2019] [Indexed: 11/17/2022]
Abstract
INTRODUCTION This study uses clinical practice data to determine whether recommended weight management clinician behaviors are associated with weight status improvement in children aged 6-12 years who are overweight or obese. METHODS Electronic health record data (2009-2014) from 52 clinics were used. Weight status was examined from 1 visit to the next as dichotomous improvement (versus worsening or no change) and change in percentage overweight (over sex/age-specific BMI95). The primary predictor was a clinician behavior variable denoting attention to high BMI alone or with assessment of medical risk/comorbidities and was defined using combinations of diagnostic codes and electronic health record orders. Covariates included time between visits and medications associated with weight gain or loss. Adjusted multilevel regression models examined the association of the clinician behavior variable with weight status improvement. Analyses were conducted from 2015 to 2018. RESULTS Children (n=7,205) had a mean age of 8.9 years; 45.5% were overweight, 54.5% obese, and 81.1% publicly insured. For 62% of overweight children, and 38%, 21%, and 11% of those in obesity classes 1-3, respectively, no attention to high BMI/medical risk assessment at any visit was identified. Children with evidence of clinician attention to high BMI alone and who underwent a medical risk assessment had significantly greater AOR of improvement in percentage of BMI95 and percentage of BMI95 change: BMI alone, AOR=1.2 (p<0.001) and β= -0.3 (p>0.05); BMI/medical risk, AOR=1.2 and β= -0.5 (both p<0.001). Other factors associated with weight status improvement included prescription medications (1 or more prescriptions associated with either weight loss or none associated with weight gain) and fewer months between visits. CONCLUSIONS This is the first study to use electronic health record data to demonstrate that widely recommended clinician behaviors are associated with weight status improvement in children aged 6-12 years who are overweight or obese.
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Affiliation(s)
- Christy B Turer
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Medicine, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Pediatrics, Children's Medical Center, Dallas, Texas.
| | - Sarah E Barlow
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Pediatrics, Children's Medical Center, Dallas, Texas; Department of Pediatrics, Texas Children's Hospital, Houston, Texas
| | - David B Sarwer
- College of Public Health, Center for Obesity Research and Education, Temple University, Philadelphia, Pennsylvania
| | - Brian Adamson
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Joanne Sanders
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Chul Ahn
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Song Zhang
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Glenn Flores
- Division of Research, Connecticut Children's Medical Center, Hartford, Connecticut; Department of Pediatrics, University of Connecticut School of Medicine, Farmington, Connecticut
| | - Celette Sugg Skinner
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
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Turer CB, Brady TM, de Ferranti SD. Obesity, Hypertension, and Dyslipidemia in Childhood Are Key Modifiable Antecedents of Adult Cardiovascular Disease: A Call to Action. Circulation 2019; 137:1256-1259. [PMID: 29555708 DOI: 10.1161/circulationaha.118.032531] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- Christy B Turer
- Departments of Pediatrics, Internal Medicine, and Clinical Sciences, University of Texas Southwestern Medical School, Harold C. Simmons Cancer Center, and Children's Health System of Dallas (C.B.T.)
| | - Tammy M Brady
- Department of Pediatrics, Division of Pediatric Nephrology, Johns Hopkins School of Medicine, Baltimore, MD (T.M.B.)
| | - Sarah D de Ferranti
- Department of Cardiology, Boston Children's Hospital and Harvard Medical School, MA (S.D.d.F.)
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Suglia SF, Koenen KC, Boynton-Jarrett R, Chan PS, Clark CJ, Danese A, Faith MS, Goldstein BI, Hayman LL, Isasi CR, Pratt CA, Slopen N, Sumner JA, Turer A, Turer CB, Zachariah JP. Childhood and Adolescent Adversity and Cardiometabolic Outcomes: A Scientific Statement From the American Heart Association. Circulation 2017; 137:e15-e28. [PMID: 29254928 DOI: 10.1161/cir.0000000000000536] [Citation(s) in RCA: 270] [Impact Index Per Article: 38.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Adverse experiences in childhood and adolescence, defined as subjectively perceived threats to the safety or security of the child's bodily integrity, family, or social structures, are known to be associated with cardiometabolic outcomes over the life course into adulthood. This American Heart Association scientific statement reviews the scientific literature on the influence of childhood adversity on cardiometabolic outcomes that constitute the greatest public health burden in the United States, including obesity, hypertension, type 2 diabetes mellitus, and cardiovascular disease. This statement also conceptually outlines pathways linking adversity to cardiometabolic health, identifies evidence gaps, and provides suggestions for future research to inform practice and policy. We note that, despite a lack of objective agreement on what subjectively qualifies as exposure to childhood adversity and a dearth of prospective studies, substantial evidence documents an association between childhood adversity and cardiometabolic outcomes across the life course. Future studies that focus on mechanisms, resiliency, and vulnerability factors would further strengthen the evidence and provide much-needed information on targets for effective interventions. Given that childhood adversities affect cardiometabolic health and multiple health domains across the life course, interventions that ameliorate these initial upstream exposures may be more appropriate than interventions remediating downstream cardiovascular disease risk factor effects later in life.
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Barlow SE, Turer CB. Lipid Screening and Treatment Practices Conflict With Conflicting Recommendations: Where Do We Go From Here? J Pediatr 2017; 185:16-18. [PMID: 28284479 PMCID: PMC5718155 DOI: 10.1016/j.jpeds.2017.02.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 02/15/2017] [Indexed: 10/20/2022]
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Turer CB, Barlow SE, Montaño S, Flores G. Discrepancies in Communication Versus Documentation of Weight-Management Benchmarks: Analysis of Recorded Visits With Latino Children and Associated Health-Record Documentation. Glob Pediatr Health 2017; 4:2333794X16685190. [PMID: 28239625 PMCID: PMC5308601 DOI: 10.1177/2333794x16685190] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 11/26/2016] [Indexed: 11/15/2022] Open
Abstract
To examine gaps in communication versus documentation of weight-management clinical practices, communication was recorded during primary care visits with 6- to 12-year-old overweight/obese Latino children. Communication/documentation content was coded by 3 reviewers using communication transcripts and health-record documentation. Discrepancies in communication/documentation content codes were resolved through consensus. Bivariate/multivariable analyses examined factors associated with discrepancies in benchmark communication/documentation. Benchmarks were neither communicated nor documented in up to 42% of visits, and communicated but not documented or documented but not communicated in up to 20% of visits. Lowest benchmark performance rates were for laboratory studies (35%) and nutrition/weight-management referrals (42%). In multivariable analysis, overweight (vs obesity) was associated with 1.6 more discrepancies in communication versus documentation (P = .03). Many weight-management benchmarks are not met, not documented, or performed without being communicated. Enhanced communication with families and documentation in health records may promote lifestyle changes in overweight children and higher quality care for overweight children in primary care.
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Affiliation(s)
- Christy B Turer
- University of Texas Southwestern, Dallas, TX, USA; Children's Medical Center, Dallas, TX, USA
| | - Sarah E Barlow
- University of Texas Southwestern, Dallas, TX, USA; Children's Medical Center, Dallas, TX, USA
| | - Sergio Montaño
- University of New Mexico, Albuquerque, NM, USA; UNM Children's Hospital, Albuquerque, NM, USA
| | - Glenn Flores
- Medica Research Institute, Minneapolis, MN; Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN; Department of Health Sciences Research, Mayo Clinic, Rochester, MN
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Abstract
OBJECTIVE To examine pediatrician weight-management communication with overweight Latino children and their parents and whether communication differs by pediatrician-patient language congruency. METHODS Mixed-methods analysis of video-recorded primary care visits with overweight 6- to 12-year-old children. Three independent reviewers used video/transcript data to identify American Academy of Pediatrics-recommended communication content and establish communication themes/subthemes. Language incongruence (LI) was defined as pediatrician limited Spanish proficiency combined with parent limited English proficiency (LEP). Bivariate analyses examined associations of LI with communication content/themes. RESULTS The mean child age (N = 26) was 9.5 years old; 81% were obese. Sixty-two percent of parents had LEP. Twenty-seven percent of pediatricians were Spanish-proficient. An interpreter was used in 25% of LI visits. Major themes for how pediatricians communicate overweight included BMI, weight, obese, chubby, and no communication (which only occurred in LI visits). The pediatrician communicated child overweight in 81% of visits, a weight-management plan in 50%, a culturally relevant dietary recommendation in 42%, a recommendation for a follow-up visit in 65%, and nutrition referral in 50%. Growth charts were used in 62% of visits but significantly less often in LI (13%) versus language-congruent (83%) visits (P < .001). CONCLUSIONS Many overweight Latino children do not receive direct communication of overweight, culturally sensitive dietary advice, or follow-up visits. LI is associated with a lower likelihood of growth chart use. During primary care visits with overweight Latino children, special attention should be paid to directly communicating child overweight, formulating culturally sensitive weight-management plans, and follow-up. With LEP families, vigilance is needed in providing a trained interpreter and using growth charts.
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Affiliation(s)
- Christy B. Turer
- Division of General Pediatrics, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas;,Children’s Medical Center Dallas, Dallas, Texas
| | - Sergio Montaño
- School of Medicine, University of Texas Southwestern, Dallas, Texas; and
| | - Hua Lin
- Division of General Pediatrics, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Kim Hoang
- School of Medicine, University of Texas Southwestern, Dallas, Texas; and,Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Glenn Flores
- Division of General Pediatrics, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas;,Children’s Medical Center Dallas, Dallas, Texas
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Batch BC, Shah SH, Newgard CB, Turer CB, Haynes C, Bain JR, Muehlbauer M, Patel MJ, Stevens RD, Appel LJ, Newby LK, Svetkey LP. Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness. Metabolism 2013; 62:961-9. [PMID: 23375209 PMCID: PMC3691289 DOI: 10.1016/j.metabol.2013.01.007] [Citation(s) in RCA: 168] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2012] [Revised: 01/06/2013] [Accepted: 01/07/2013] [Indexed: 01/01/2023]
Abstract
OBJECTIVE To identify novel biomarkers through metabolomic profiles that distinguish metabolically well (MW) from metabolically unwell (MUW) individuals, independent of body mass index (BMI). MATERIALS/METHODS This study was conducted as part of the Measurement to Understand the Reclassification of Disease of Cabarrus/Kannapolis (MURDOCK) project. Individuals from 3 cohorts were classified as lean (BMI<25kg/m²), overweight (BMI≥25kg/m², BMI<30kg/m²) or obese (BMI≥30kg/m²). Cardiometabolic abnormalities were defined as: (1) impaired fasting glucose (≥100mg/dL and ≤126mg/dL); (2) hypertension; (3) triglycerides ≥150mg/dL; (4) HDL-C <40mg/dL in men, <50mg/dL in women; and (5) insulin resistance (calculated Homeostatic Model Assessment (HOMA-IR) index of >5.13). MW individuals were defined as having <2 cardiometabolic abnormalities and MUW individuals had≥two cardiometabolic abnormalities. Targeted profiling of 55 metabolites used mass-spectroscopy-based methods. Principal components analysis (PCA) was used to reduce the large number of correlated metabolites into clusters of fewer uncorrelated factors. RESULTS Of 1872 individuals, 410 were lean, 610 were overweight, and 852 were obese. Of lean individuals, 67% were categorized as MUW, whereas 80% of overweight and 87% of obese individuals were MUW. PCA-derived factors with levels that differed the most between MW and MUW groups were factors 4 (branched chain amino acids [BCAA]) [p<.0001], 8 (various metabolites) [p<.0001], 9 (C4/Ci4, C3, C5 acylcarnitines) [p<.0001] and 10 (amino acids) [p<.0002]. Further, Factor 4, distinguishes MW from MUW individuals independent of BMI. CONCLUSION BCAA and related metabolites are promising biomarkers that may aid in understanding cardiometabolic health independent of BMI category.
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Affiliation(s)
- Bryan C Batch
- Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA.
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Abstract
OBJECTIVE Adequate vitamin D is essential for skeletal health in developing children. Although excess body weight is associated with risk of vitamin D deficiency, the national prevalence of and risk factors associated with vitamin D deficiency in overweight and obese children are unknown. METHODS The prevalence of vitamin D deficiency (defined as 25-hydroxyvitamin-D <20 ng/mL) was determined in a sample of 6- to 18-year-old children who were enrolled in a cross-sectional study (the 2003-2006 National Health and Nutrition Examination Survey) in which body weight and height were measured directly. Children were classified as healthy-weight, overweight, obese, or severely obese by using recommended age- and gender-specific BMI-percentile cut points. Associations between BMI-percentile classification and vitamin D deficiency were examined after adjustment for relevant confounders. Sample weights were used to generate nationally representative estimates. RESULTS The prevalence of vitamin D deficiency in healthy-weight, overweight, obese, and severely obese children was 21% (20%-22%), 29% (27%-31%), 34% (32%-36%), and 49% (45%-53%), respectively. The prevalence of vitamin D deficiency in severely obese white, Latino, and African-American children was 27% (3%-51%), 52% (36%-68%), and 87% (81%-93%), respectively. Compared with healthy-weight children, overweight, obese, and severely obese children had significantly greater adjusted odds of vitamin D deficiency. Modifiable factors associated with vitamin D deficiency in overweight/obese children were identified. CONCLUSIONS Vitamin D deficiency is highly prevalent in overweight and obese children. The particularly high prevalence in severely obese and minority children suggests that targeted screening and treatment guidance is needed.
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Affiliation(s)
- Christy B Turer
- Division of General Pediatrics, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas 75390-9063, USA.
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Turer CB, Bernstein IH, Edelman DE, Yancy WS. Low HDL predicts differential blood pressure effects from two weight-loss approaches: a secondary analysis of blood pressure from a randomized, clinical weight-loss trial. Diabetes Obes Metab 2012; 14:375-8. [PMID: 22059803 DOI: 10.1111/j.1463-1326.2011.01531.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Examining predictors of blood-pressure (BP) response to weight-loss diets might provide insight into mechanisms and help guide clinical care. We examined whether certain baseline patient characteristics (e.g. diet, medical history and laboratory tests) predicted BP response to two weight-loss diet approaches that differ in macronutrient content. One hundred and forty-six overweight adult outpatients were randomized to either a low-carbohydrate diet (N = 72) or orlistat plus a low-fat diet (N = 74) for 48 weeks. Predictors of BP reduction were evaluated using a structured approach and random effects regression models. Participants were 56% African-American, 72% male and 53 (±10) years-old. Of the variables considered, low baseline high-density lipoprotein (HDL) predicted greater reduction in BP in those patients who received the low-carbohydrate diet (p = 0.03 for systolic BP; p = 0.03 for diastolic BP and p = 0.02 for mean arterial pressure). A low HDL level may identify patients who will have greater BP improvement on a low-carbohydrate diet.
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Affiliation(s)
- C B Turer
- Department of Pediatrics, University of Texas Southwestern, 5323 Harry Hines Boulevard, Dallas, TX 75390-9063, USA.
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Shah SH, Crosslin DR, Haynes CS, Nelson S, Turer CB, Stevens RD, Muehlbauer MJ, Wenner BR, Bain JR, Laferrère B, Gorroochurn P, Teixeira J, Brantley PJ, Stevens VJ, Hollis JF, Appel LJ, Lien LF, Batch B, Newgard CB, Svetkey LP. Branched-chain amino acid levels are associated with improvement in insulin resistance with weight loss. Diabetologia 2012; 55:321-30. [PMID: 22065088 PMCID: PMC3667157 DOI: 10.1007/s00125-011-2356-5] [Citation(s) in RCA: 266] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2011] [Accepted: 09/28/2011] [Indexed: 12/12/2022]
Abstract
AIMS/HYPOTHESIS Insulin resistance (IR) improves with weight loss, but this response is heterogeneous. We hypothesised that metabolomic profiling would identify biomarkers predicting changes in IR with weight loss. METHODS Targeted mass spectrometry-based profiling of 60 metabolites, plus biochemical assays of NEFA, β-hydroxybutyrate, ketones, insulin and glucose were performed in baseline and 6 month plasma samples from 500 participants who had lost ≥4 kg during Phase I of the Weight Loss Maintenance (WLM) trial. Homeostatic model assessment of insulin resistance (HOMA-IR) and change in HOMA-IR with weight loss (∆HOMA-IR) were calculated. Principal components analysis (PCA) and mixed models adjusted for race, sex, baseline weight, and amount of weight loss were used; findings were validated in an independent cohort of patients (n = 22). RESULTS Mean weight loss was 8.67 ± 4.28 kg; mean ∆HOMA-IR was -0.80 ± 1.73, range -28.9 to 4.82). Baseline PCA-derived factor 3 (branched chain amino acids [BCAAs] and associated catabolites) correlated with baseline HOMA-IR (r = 0.50, p < 0.0001) and independently associated with ∆HOMA-IR (p < 0.0001). ∆HOMA-IR increased in a linear fashion with increasing baseline factor 3 quartiles. Amount of weight loss was only modestly correlated with ∆HOMA-IR (r = 0.24). These findings were validated in the independent cohort, with a factor composed of BCAAs and related metabolites predicting ∆HOMA-IR (p = 0.007). CONCLUSIONS/INTERPRETATION A cluster of metabolites comprising BCAAs and related analytes predicts improvement in HOMA-IR independent of the amount of weight lost. These results may help identify individuals most likely to benefit from moderate weight loss and elucidate novel mechanisms of IR in obesity.
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Affiliation(s)
- S H Shah
- Department of Medicine, DUMC, Duke University Medical Center, Box 3445, Durham, NC 27710, USA.
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Turer AT, Khera A, Ayers CR, Turer CB, Grundy SM, Vega GL, Scherer PE. Adipose tissue mass and location affect circulating adiponectin levels. Diabetologia 2011; 54:2515-24. [PMID: 21779869 PMCID: PMC4090928 DOI: 10.1007/s00125-011-2252-z] [Citation(s) in RCA: 85] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2011] [Accepted: 06/14/2011] [Indexed: 01/04/2023]
Abstract
AIMS/HYPOTHESIS Plasma levels of adiponectin are inversely associated with body mass. We hypothesised that adipose tissue distribution and body composition influences adiponectin levels. METHODS We assessed plasma adiponectin concentrations and dual-energy X-ray absorptiometry (DEXA) measurements of body composition among 2,820 participants from the Dallas Heart Study. RESULTS Among both women and men, adiponectin levels were higher in whites than in either Hispanics or African-Americans (for women: median 9.99 μg/ml [25th,75th percentile 7.11, 13.77] vs 7.56 μg/ml [5.05, 9.98] vs 6.39 μg/ml [4.37, 9.41], respectively, p < 0.0001; for men: 6.43 μg/ml [4.66, 9.19] vs 5.55 μg/ml [3.64, 7.50] vs 5.03 μg/ml [3.39, 7.28], p < 0.0001). In univariate analysis, each individual component of body mass was inversely associated with adiponectin. After multivariate analysis, adiponectin levels were found to be positively associated with lower extremity fat, whether expressed in absolute mass (for women: β = 0.055, p < 0.0001; for men: β = 0.061, p < 0.0001), or as a relative proportion (for women: β = 0.035, p < 0.0001; for men: β = 0.034, p < 0.0001). This association was consistent across ethnicities. Conversely, adiponectin was negatively correlated with truncal fat, both in absolute (for women: β = -0.039, p < 0.0001; for men: β = -0.044, p < 0.0001) and relative terms (for women: β = -0.027, p < 0.0001; for men β = -0.033, p < 0.0001). At the extreme of body mass, higher degrees of lower extremity and truncal adiposity were associated with higher levels of adiponectin. CONCLUSIONS/INTERPRETATION These data suggest that the location of adipose depots differentially influences circulating adiponectin concentrations-a finding observed across ethnicity and sex. Gross measures of body mass alone do not adequately account for adiponectin levels. This supports a role of adiponectin as a mediator of the positive effects of lower extremity adiposity on improvements in insulin sensitivity.
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Affiliation(s)
- A T Turer
- Department of Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-8521, USA.
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