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Paixão de Gois B, Figueiredo N, Soares Lopes KL, Esselin de Melo PR, Horst MA, Molin Netto BD, Oyama LM, Lima GC, Dâmaso AR, Mota JF, Corgosinho FC. The impact of the obesity onset on the inflammatory and glycemic profile of women with severe obesity. Surg Obes Relat Dis 2024; 20:976-983. [PMID: 38862297 DOI: 10.1016/j.soard.2024.04.015] [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: 03/14/2023] [Revised: 04/04/2024] [Accepted: 04/14/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND The stage of life at the onset of obesity is an important factor in assessing inflammatory state and cardiometabolic risk. OBJECTIVES This study aimed to evaluate the relationship between the obesity onset and the inflammatory profile in women with severe obesity. SETTING Public hospital, Brazil. METHODS Forty-eight women with severe obesity (20-59 yr old) were evaluated according to weight, height, neck circumference (NC), waist circumference (WC), and hip circumference, as well blood metabolic and inflammatory parameters. The participants were grouped according to obesity onset stage of life (early group: ≤19 yr; late group: >19 yr). RESULTS The demographic means of the participants were: age of 39.7 years, weight of 122.7 kg and body mass index (BMI) of 48.4 kg/m2. The late group presented significantly higher values of leptin (lep)/adiponectin (adipo) ratio and homeostatic model assessment for insulin resistance (HOMA-IR) than the early group. The late group also had a lower adipo/lep ratio. Moreover, the late group showed correlations between the lep/adipo ratio and BMI (r = .460, P = .021), NC (r = .478, P = .016), and WC (r = .535, P = .006). Adipo was also correlated with NC (r = -.418, P = .038), WC (r = -.437, P = .029), and glycated hemoglobin (HbA1C) (r = -.485, P = .019). By contrast, in the early group, the lep/adipo ratio showed correlations with insulin (r = .647, P = .004) and HOMA-B (r = .564, P = .015). CONCLUSIONS The inflammatory profile is correlated with anthropometric values in women with late-onset obesity. Inflammatory markers seemed to correlate with the glycemic profile in women with early-onset obesity. Furthermore, inflammation was higher in women with late-onset obesity compared to those with early-onset obesity.
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Affiliation(s)
| | - Nayra Figueiredo
- Faculty of Medicine, Federal University of Goiás, Goiânia, Brazil
| | | | | | - Maria Aderuza Horst
- Post-Graduation Program in Nutrition and Health, Federal University of Goiás, Goiânia, Brazil
| | | | - Lila Missae Oyama
- Paulista Medicine School, Federal University of São Paulo, São Paulo, Brazil
| | - Glaucia Carielo Lima
- Post-Graduation Program in Nutrition and Health, Federal University of Goiás, Goiânia, Brazil
| | - Ana Raimunda Dâmaso
- Paulista Medicine School, Federal University of São Paulo, São Paulo, Brazil
| | - Joao Felipe Mota
- Faculty of Nutrition, Federal University of Goiás, Goiânia, Brazil
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Jia Q, Zhang Y, Zhang B, An X. Reassessing type 2 diabetes in adolescents and its management strategies based on insulin resistance. Front Endocrinol (Lausanne) 2024; 15:1377918. [PMID: 38962677 PMCID: PMC11219588 DOI: 10.3389/fendo.2024.1377918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 06/05/2024] [Indexed: 07/05/2024] Open
Abstract
With changes in lifestyle behaviors, including dietary structure and habits, the prevalence of Youth-onset Type 2 Diabetes Mellitus (YODM) has increased 2 to 3 times compared to 30 years ago. YODM patients experience complications earlier, progress faster, and exhibit more severe symptoms. However, limited and inconclusive direct evidence, coupled with poor patient compliance, poses challenges in the clinical management of YODM. Apart from the continuous decline in pancreatic β-cell function and quantity, tissue-specific insulin resistance (IR) is also a typical characteristic of YODM. The main mechanisms of IR in YODM involve different aspects such as obesity, dietary imbalance, abnormal substance metabolism, chronic inflammation, oxidative stress, and hormonal fluctuations during adolescence. For the comprehensive management of YODM, besides achieving good control of blood glucose levels, it may be necessary to apply the most appropriate methods considering the uniqueness of the patient population and the specifics of the disease. Early identification and detection of the disease are crucial. Precise screening of patients with well-functioning pancreatic insulin β-cells, primarily characterized by IR and obesity, represents the population most likely to achieve diabetes remission or reversal through lifestyle modifications, medications, or even surgical interventions. Additionally, considering potential emotional disorders or the impact of adolescent hormones in these patients, health education for patients and caregivers is essential to make them aware of the long-term benefits of well-controlled blood glucose. In conclusion, adopting comprehensive management measures to achieve diabetes remission or reversal is the ideal goal. Controlling high blood glucose, obesity, and other risk factors related to diabetes complications is the next priority to delay the occurrence and progression of complications. A comprehensive perspective on IR provides insights and references for identifying YODM and its management strategies.
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Affiliation(s)
- QianYou Jia
- Department of Pediatrics, Rizhao Hospital of Traditional Chinese Medicine, Rizhao, China
| | - YanMin Zhang
- Department of Pediatrics, Rizhao Hospital of Traditional Chinese Medicine, Rizhao, China
| | - BaoFeng Zhang
- Department of Pediatrics, Rizhao Hospital of Traditional Chinese Medicine, Rizhao, China
| | - XueDong An
- Department of Endocrinology & Diabetes Vascular Function Laboratory, Guang’anmen Hospital of China Academy of Chinese Medical Sciences, Beijing, China
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3
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Megersa BS, Andersen GS, Abera M, Abdissa A, Zinab B, Ali R, Admassu B, Kedir E, Nitsch D, Filteau S, Girma T, Yilma D, Wells JC, Friis H, Wibaek R. Associations of early childhood body mass index trajectories with body composition and cardiometabolic markers at age 10 years: the Ethiopian infant anthropometry and body composition (iABC) birth cohort study. Am J Clin Nutr 2024; 119:1248-1258. [PMID: 38458400 DOI: 10.1016/j.ajcnut.2024.03.004] [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: 10/11/2023] [Revised: 02/17/2024] [Accepted: 03/05/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Variability in body mass index (BMI) (kg/m2) trajectories is associated with body composition and cardiometabolic markers in early childhood, but it is unknown how these associations track to later childhood. OBJECTIVES We aimed to assess associations of BMI trajectories from 0 to 5 y with body composition and cardiometabolic markers at 10 y. METHODS In the Ethiopian infant anthropometry and body composition (iABC) birth cohort, we previously identified 4 distinct BMI trajectories from 0 to 5 y: stable low BMI (19.2%), normal BMI (48.8%), rapid growth to high BMI (17.9%), and slow growth to high BMI (14.1%). At 10 y, we obtained data from 320 children on anthropometry, body composition, abdominal subcutaneous and visceral fat, and cardiometabolic markers. Associations of BMI trajectories and 10-y outcomes were analyzed using multiple linear regression. RESULTS Compared with children with the normal BMI trajectory, those with rapid growth to high BMI had 1.7 cm (95% CI: 0.1, 3.3) larger waist circumference and those with slow growth to high had 0.63 kg/m2 (95% CI: 0.09, 1.17) greater fat mass index and 0.19 cm (95% CI: 0.02, 0.37) greater abdominal subcutaneous fat, whereas those with stable low BMI had -0.28 kg/m2 (95% CI: -0.59, 0.03) lower fat-free mass at 10 y. Although the confidence bands were wide and included the null value, children with rapid growth to high BMI trajectory had 48.6% (95% CI: -1.4, 123.8) higher C-peptide concentration and those with slow growth to high BMI had 29.8% (95% CI: -0.8, 69.8) higher insulin and 30.3% (95% CI: -1.1, 71.6) higher homeostasis model assessment of insulin resistance, whereas those with rapid growth to high BMI had -0.23 mmol/L (95% CI: -0.47, 0.02) lower total cholesterol concentration. The trajectories were not associated with abdominal visceral fat, blood pressure, glucose, and other lipids at 10 y. CONCLUSIONS Children with rapid and slow growth to high BMI trajectories before 5 y tend to show higher measures of adiposity and higher concentrations of markers related to glucose metabolism at 10 y. CLINICAL TRIAL REGISTRY ISRCTN46718296 (https://www.isrctn.com/ISRCTN46718296).
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Affiliation(s)
- Bikila S Megersa
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
| | | | - Mubarek Abera
- Department of Psychiatry, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia
| | | | - Beakal Zinab
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark; Department of Nutrition and Dietetics, Faculty of Public Health, Jimma University, Jimma, Ethiopia
| | - Rahma Ali
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark; Department of Population and Family Health, Jimma University, Jimma, Ethiopia
| | - Bitiya Admassu
- Department of Population and Family Health, Jimma University, Jimma, Ethiopia
| | - Elias Kedir
- Department of Radiology, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia
| | - Dorothea Nitsch
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Suzanne Filteau
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Tsinuel Girma
- Department of Pediatrics and Child Health, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia
| | - Daniel Yilma
- Department of Internal Medicine, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia
| | - Jonathan Ck Wells
- Childhood Nutrition Research Center, Population Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Henrik Friis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Rasmus Wibaek
- Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
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Jakobsen ME, Stentebjerg LL, Tanvig MH, Jørgensen JS, Ovesen PG, Christesen HT, Jensen DM, Vinter CA. Body mass index z-scores in the first 2 years of life were associated with adverse metabolic and anthropometric outcomes at 3 years of age. Acta Paediatr 2024; 113:1068-1075. [PMID: 38259098 DOI: 10.1111/apa.17122] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 12/08/2023] [Accepted: 01/12/2024] [Indexed: 01/24/2024]
Abstract
AIM We investigated associations between body mass index (BMI) z-scores for children aged 0-2 years and the BMI z-scores, body fat percentage and metabolic risk factors at 3 years of age. METHODS This was a secondary analysis of the Lifestyle in Pregnancy and Offspring randomised controlled trial, carried out at two university hospitals in Denmark. It comprised 149 mothers with BMI ≥30 kg/m2 who did or did not receive a lifestyle intervention during pregnancy and a reference group of 97 mothers with normal-weight, with follow-up of their 3-year-old offspring. The children in these three groups were pooled for the data analyses, due to similar characteristics between groups. The BMI z-scores were calculated at 5 weeks, 5 months and 1, 2 and 3 years, using Danish reference groups. Their anthropometrics and metabolic outcomes were examined at 3 years of age. RESULTS BMI z-scores at 5 months to 2 years were associated with BMI z-scores and body fat percentage at 3 years of age and BMI z-scores were not associated with metabolic risk factors at 3 years. CONCLUSION BMI z-scores from 5 weeks of age were associated with adverse anthropometric outcomes but not with metabolic risk factors at 3 years of age.
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Affiliation(s)
- Mikala E Jakobsen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- The National Research Center for the Working Environment, Copenhagen, Denmark
| | - Louise L Stentebjerg
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Mette H Tanvig
- Department of Gynecology and Obstetrics, Odense University Hospital, Odense, Denmark
| | - Jan S Jørgensen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Gynecology and Obstetrics, Odense University Hospital, Odense, Denmark
| | - Per G Ovesen
- Department of Obstetrics and Gynecology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Henrik T Christesen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Hans Christian Andersen Children's Hospital, Odense University Hospital, Odense, Denmark
| | - Dorte M Jensen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Gynecology and Obstetrics, Odense University Hospital, Odense, Denmark
| | - Christina A Vinter
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Gynecology and Obstetrics, Odense University Hospital, Odense, Denmark
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Carlson JA, Hibbing PR, Forseth B, Diaz KM, Sotres‐Alvarez D, Bejarano CM, Duran AT, Castañeda SF, Garcia ML, Perreira KM, Daviglus ML, Van Horn L, Gellman MD, Isasi CR, Cai J, Delamater AM, Staggs VS, Thyfault J, Gallo LC. Sedentary Bout Patterns and Metabolic Health in the Hispanic Community Health Study/Study of Latino Youth (SOL Youth). J Am Heart Assoc 2023; 12:e028495. [PMID: 37681558 PMCID: PMC10547284 DOI: 10.1161/jaha.122.028495] [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: 10/14/2022] [Accepted: 07/24/2023] [Indexed: 09/09/2023]
Abstract
Background There is limited evidence on the potential negative metabolic health impacts of prolonged and uninterrupted sedentary bouts in structurally disadvantaged youth. This study investigated associations between sedentary bout variables and metabolic health markers in the Hispanic Community Health Study/SOL Youth (Study of Latino Youth). Methods and Results SOL Youth was a population-based cohort of 1466 youth (age range, 8-16 years; 48.5% female); 957 youth were included in the analytic sample based on complete data. Accelerometers measured moderate-to-vigorous physical activity (MVPA), total sedentary time, and sedentary bout patterns (daily time spent in sedentary bouts ≥30 minutes, median sedentary bout duration, and number of daily breaks from sedentary time). Clinical measures included body mass index, waist circumference, fasting glucose, glycated hemoglobin, fasting insulin, and the homeostasis model assessment of insulin resistance. After adjusting for sociodemographics, total sedentary time, and MVPA, longer median bout durations and fewer sedentary breaks were associated with a greater body mass index percentile (bbouts=0.09 and bbreaks=-0.18), waist circumference (bbouts=0.12 and bbreaks=-0.20), and fasting insulin (bbouts=0.09 and bbreaks=-0.21). Fewer breaks were also associated with a greater homeostasis model assessment of insulin resistance (b=-0.21). More time in bouts lasting ≥30 minutes was associated with a greater fasting glucose (b=0.18) and glycated hemoglobin (b=0.19). Conclusions Greater accumulation of sedentary time in prolonged and uninterrupted bouts had adverse associations with adiposity and glycemic control over and above total sedentary time and MVPA. Findings suggest interventions in Hispanic/Latino youth targeting both ends of the activity spectrum (more MVPA and less prolonged/uninterrupted sedentary patterns) may provide greater health benefits than those targeting only MVPA.
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Affiliation(s)
- Jordan A. Carlson
- Center for Children’s Healthy Lifestyles & Nutrition, Children’s Mercy Kansas CityKansas CityMO
- University of Kansas Medical CenterKansas CityKS
- Department of PediatricsChildren’s Mercy Kansas City and University of Missouri Kansas CityKansas CityMO
| | - Paul R. Hibbing
- Center for Children’s Healthy Lifestyles & Nutrition, Children’s Mercy Kansas CityKansas CityMO
| | - Bethany Forseth
- Center for Children’s Healthy Lifestyles & Nutrition, Children’s Mercy Kansas CityKansas CityMO
- University of Kansas Medical CenterKansas CityKS
- Department of PediatricsUniversity of Kansas Medical CenterKansas CityKS
| | - Keith M. Diaz
- Center for Behavioral Cardiovascular HealthColumbia University Irving Medical CenterNew YorkNY
| | - Daniela Sotres‐Alvarez
- Collaborative Studies Coordinating Center, Department of BiostatisticsUniversity of North Carolina at Chapel HillChapel HillNC
| | - Carolina M. Bejarano
- Division of Behavioral Medicine & Clinical Psychology, Cincinnati Children’s Hospital Medical CenterCincinnatiOH
| | - Andrea T. Duran
- Center for Behavioral Cardiovascular HealthColumbia University Irving Medical CenterNew YorkNY
| | | | - Melawhy L. Garcia
- Center for Latino Community Health, Evaluation, and Leadership Training, Department of Health ScienceCalifornia State University Long BeachLong BeachCA
| | | | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois at ChicagoChicagoIL
| | - Linda Van Horn
- Department of Preventive Medicine, Feinberg School of MedicineNorthwestern UniversityChicagoIL
| | | | - Carmen R. Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of MedicineBronxNY
| | - Jianwen Cai
- Collaborative Studies Coordinating Center, Department of BiostatisticsUniversity of North Carolina at Chapel HillChapel HillNC
| | - Alan M. Delamater
- Department of Pediatrics, University of Miami Miller School of MedicineMiamiFL
| | - Vincent S. Staggs
- Department of PediatricsChildren’s Mercy Kansas City and University of Missouri Kansas CityKansas CityMO
- Biostatistics & Epidemiology CoreChildren’s Mercy Research InstituteKansas CityMO
| | - John Thyfault
- Center for Children’s Healthy Lifestyles & Nutrition, Children’s Mercy Kansas CityKansas CityMO
- University of Kansas Medical CenterKansas CityKS
- Departments of Cellular and Molecular Physiology and Internal Medicine‐Division of Endocrinology and MetabolismUniversity of Kansas Medical CenterKansas CityKS
| | - Linda C. Gallo
- Department of PsychologySan Diego State UniversitySan DiegoCA
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Yan Y, Li S, Liu Y, Guo Y, Fernandez C, Bazzano L, He J, Chen W. Associations Between Life-Course Lipid Trajectories and Subclinical Atherosclerosis in Midlife. JAMA Netw Open 2022; 5:e2234862. [PMID: 36197664 PMCID: PMC9535509 DOI: 10.1001/jamanetworkopen.2022.34862] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
IMPORTANCE Childhood lipid levels have been associated with adult subclinical atherosclerosis; however, life-course lipid trajectories and their associations with cardiovascular disease risk are poorly characterized. OBJECTIVES To examine the associations of lipid levels at different ages and discrete lipid trajectory patterns from childhood to adulthood with subclinical atherosclerosis in midlife. DESIGN, SETTING, AND PARTICIPANTS This cohort study used data from the Bogalusa Heart Study, a prospective, population-based cohort study conducted in a semirural, biracial community in Bogalusa, Louisiana, with follow-up from 1973 to 2016 (median follow-up, 36.8 years). Participants had 4 to 16 repeated measurements of lipids, including total cholesterol (TC), non-high-density lipoprotein cholesterol (non-HDL-C), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG), from childhood to midlife and adult measurement of carotid intima-media thickness (IMT). Statistical analyses were conducted from July 1 to December 31, 2021. EXPOSURES Age-specific lipid levels were estimated, and lipid trajectory patterns were identified using latent mixture modeling. MAIN OUTCOMES AND MEASURES Subclinical atherosclerosis measured by carotid IMT. RESULTS The study evaluated 1201 adults (mean [SD] age, 45.7 [6.8] years; 691 [57.5%] women and 510 [42.5%] men; 392 Black [32.6%] and 809 White [67.4%] individuals). Levels of all lipids at each age from 5 to 45 years were significantly associated with adult IMT. The magnitude of associations generally increased with age, and non-HDL-C (age 5 y: β, 0.040; 95% CI, 0.025-0.055; age 45 y, β, 0.049; 95% CI, 0.026-0.072) and LDL-C (age 5 y: β, 0.039; 95% CI, 0.024-0.054; age 45 y, β, 0.043; 95% CI, 0.023-0.063) showed the strongest associations. After adjusting for race, sex, and other cardiovascular risk factors, mean IMT values were significantly higher in the low-slow increase, low-rapid increase, and high-stable trajectory groups for TC (eg, high-stable group: mean difference, 0.152 mm; 95% CI, 0.059-0.244 mm), the low-slow increase, low-rapid increase, moderate-stable, and high-stable trajectory groups for non-HDL-C (eg, low-slow increase group: mean difference, 0.048 mm; 95% CI, 0.012-0.085 mm) and LDL-C (eg, low-rapid increase group: mean difference, 0.104 mm; 95% CI, 0.056-0.151 mm) and the low-rapid increase and moderate-stable trajectory groups for TG (eg, moderate-stable group: mean difference, 0.071 mm; 95% CI, 0.019-0.122 mm) vs the corresponding low-stable trajectory groups. These associations were slightly attenuated after further adjustment for lipid levels at baseline or follow-up. There were no significant differences in mean IMT among HDL-C trajectory groups. CONCLUSIONS AND RELEVANCE In this cohort study, discrete life-course lipid trajectories were associated with the development of atherosclerosis in midlife. The findings emphasize the importance of maintaining optimal lipid levels across the lifespan.
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Affiliation(s)
- Yinkun Yan
- Center for Noncommunicable Disease Management, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Shengxu Li
- Children’s Minnesota Research Institute, Children’s Hospitals and Clinics of Minnesota, Minneapolis
| | - Yang Liu
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yajun Guo
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Camilo Fernandez
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Lydia Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Wei Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
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7
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Kasahara T, Tsujiguchi H, Takeshita Y, Hara A, Suzuki K, Narukawa N, Hayashi K, Miyagi M, Asai A, Yamada Y, Nakamura H, Suzuki F, Pham KO, Hamagishi T, Nakamura M, Shibata A, Shimizu Y, Nguyen TTT, Miyagi S, Kambayashi Y, Kannon T, Tajima A, Tsuboi H, Konoshita T, Takamura T, Nakamura H. A retrospective cohort study on the association between poor sleep quality in junior high school students and high hemoglobin A1c level in early adults with higher body mass index values. BMC Endocr Disord 2022; 22:40. [PMID: 35164727 PMCID: PMC8845399 DOI: 10.1186/s12902-022-00951-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 01/31/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Few epidemiological studies have been performed to clarify the association between glucose metabolism disorders in early adults (20 years old) and physiological and environmental factors, including body mass index (BMI) in junior high school days. Therefore, we examined the association between hemoglobin A1c (HbA1c) level and body size (BMI) in early adulthood and lifestyles, including sleep habits and BMI in junior high school days in Shika town, a small town in Japan, by conducting a retrospective cohort study. METHODS We examined the HbA1c levels and body size (BMI) of 99 early adults who turned 20 years old between 2016 and 2020 and were residing in Shika town, Ishikawa Prefecture. We obtained the information on lifestyles and living environment factors, including BMI, from a questionnaire survey conducted among the subjects during their junior high school days (13-15 years old) from 2009 to 2013. RESULTS No correlations were observed between the HbA1c levels and the BMI values of the early adults. A two-way analysis of covariance (with the HbA1c levels and BMI values of the early adults as main factors) of the body size and lifestyle habits of the junior high school students revealed that "sleep quality in junior high school" was significantly poorer in the high HbA1c group than in the low HbA1c group in the early adults with high BMI values only. This result was also supported by the logistic regression analysis result. CONCLUSIONS The present results indicate that poor sleep quality in junior high school was associated with the high HbA1c levels of the early adults with higher BMI values, which suggests that good sleep quality in junior high school prevents the development of hyperglycemia. However, the present study did not find any relationship between early-adult BMI and HbA1c level.
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Affiliation(s)
- Tomoko Kasahara
- Department of Hygiene and Public Health, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan.
| | - Hiromasa Tsujiguchi
- Department of Hygiene and Public Health, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
- Kanazawa University Advanced Preventive Medical Sciences Research Center, Takara-Machi 13-1, Kanazawa, Ishikawa, 920-8640, Japan
| | - Yumie Takeshita
- Department of Endocrinology and Metabolism, Graduate School of Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Akinori Hara
- Department of Hygiene and Public Health, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
- Kanazawa University Advanced Preventive Medical Sciences Research Center, Takara-Machi 13-1, Kanazawa, Ishikawa, 920-8640, Japan
| | - Keita Suzuki
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Nobuhiko Narukawa
- Department of Hygiene and Public Health, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Koichiro Hayashi
- Department of Hygiene and Public Health, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Masateru Miyagi
- Department of Hygiene and Public Health, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Atsushi Asai
- Department of Hygiene and Public Health, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Yohei Yamada
- Department of Hygiene and Public Health, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Haruki Nakamura
- Department of Hygiene and Public Health, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Fumihiko Suzuki
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
- Community Medicine Support Dentistry, Ohu University Hospital, Koriyama, Fukushima, 963-8611, Japan
| | - Kim-Oanh Pham
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Toshio Hamagishi
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Masaharu Nakamura
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Aki Shibata
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Yukari Shimizu
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
- Faculty of Health Sciences, Department of Nursing, Komatsu University, 14-1 Mukaimotoori-Machi, Komatsu, Ishikawa, 923-0961, Japan
| | - Thao Thi Thu Nguyen
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
- Faculty of Public Health, Haiphong University of Medicine and Pharmacy, 180000, Ngo Quyen, Hai Phong, Vietnam
| | - Sakae Miyagi
- Innovative Clinical Research Center, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Yasuhiro Kambayashi
- Department of Public Health, Faculty of Veterinary Medicine, Okayama University of Science, 1-3 Ikoinooka, Imabari, Ehime, 794-8555, Japan
| | - Takayuki Kannon
- Kanazawa University Advanced Preventive Medical Sciences Research Center, Takara-Machi 13-1, Kanazawa, Ishikawa, 920-8640, Japan
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Atsushi Tajima
- Kanazawa University Advanced Preventive Medical Sciences Research Center, Takara-Machi 13-1, Kanazawa, Ishikawa, 920-8640, Japan
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Hirohito Tsuboi
- Institute of Medical, Pharmaceutical & Health Sciences, Kanazawa University, Kanazawa, 920-1192, Japan
| | - Tadashi Konoshita
- Department of Endocrinology and Metabolism, University of Fukui Hospital, 23-3, Matsuokashimoaizuki, Eiheiji, Fukui, 910-1193, Japan
- Third Department of Internal Medicine, University of Fukui Faculty of Medical Sciences, 23-3, Matsuokashimoaizuki, Eiheiji, Fukui, 910-1193, Japan
| | - Toshinari Takamura
- Department of Endocrinology and Metabolism, Graduate School of Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Hiroyuki Nakamura
- Department of Hygiene and Public Health, Graduate School of Advanced Preventive, Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
- Department of Hygiene and Public Health, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8640, Japan
- Kanazawa University Advanced Preventive Medical Sciences Research Center, Takara-Machi 13-1, Kanazawa, Ishikawa, 920-8640, Japan
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8
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Trajectory patterns for continuous metabolic syndrome score in childhood and the cardiovascular risk in adolescence. Sci Rep 2021; 11:22564. [PMID: 34799615 PMCID: PMC8604916 DOI: 10.1038/s41598-021-01566-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 10/29/2021] [Indexed: 11/08/2022] Open
Abstract
We explored the association between the trajectory of the continuous metabolic syndrome score (cMetS) in childhood with high-sensitivity C-reactive protein (hs-CRP) and carotid intima-media thickness (CIMT), which are known to increase cardiovascular disease risk in adolescence. The trajectory of cMetS in childhood (from 3 to 12 years of age) was identified in 833 children who participated in the Ewha Birth and Growth Study. The associations between cMetS and hs-CRP and CIMT were analyzed in 204 out of 833 children who participated in the follow-up at 13-15 years of age and measured hs-CRP and CIMT. Among the 833 children, three groups were classified: cMetS maintained at a low level (n = 198, 23.77%), middle level (n = 530, 63.63%), and at high levels (n = 105, 12.61%). The group with a stable-high cMetS trajectory showed significantly higher hs-CRP levels, and the statistical significance was maintained after adjusting for covariates. This study found that a consistently high cMetS in childhood was significantly associated with higher hs-CRP levels in adolescents, suggesting that it is necessary to intervene in metabolic risk factors early in life to reduce the risk of cardiovascular disease later in life.
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9
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Smigoc Schweiger D, Battelino T, Groselj U. Sex-Related Differences in Cardiovascular Disease Risk Profile in Children and Adolescents with Type 1 Diabetes. Int J Mol Sci 2021; 22:ijms221910192. [PMID: 34638531 PMCID: PMC8508122 DOI: 10.3390/ijms221910192] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 01/09/2023] Open
Abstract
Cardiovascular disease (CVD) is the primary cause of higher and earlier morbidity and mortality in people with type 1 diabetes (T1D) compared to people without diabetes. In addition, women with T1D are at an even higher relative risk for CVD than men. However, the underlying pathophysiology is not well understood. Atherosclerotic changes are known to progress early in life among people with T1D, yet it is less clear when excess CVD risk begins in females with T1D. This review explores the prevalence of classical CVD risk factors (such as glycemic control, hypertension, dyslipidemia, obesity, albuminuria, smoking, diet, physical inactivity), as well as of novel biomarkers (such as chronic inflammation), in children and adolescents with T1D with particular regard to sex-related differences in risk profile. We also summarize gaps where further research and clearer clinical guidance are needed to better address this issue. Considering that girls with T1D might have a more adverse CVD risk profile than boys, the early identification of and sex-specific intervention in T1D would have the potential to reduce later CVD morbidity and excess mortality in females with T1D. To conclude, based on an extensive review of the existing literature, we found a clear difference between boys and girls with T1D in the presence of individual CVD risk factors as well as in overall CVD risk profiles; the girls were on the whole more impacted.
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Affiliation(s)
- Darja Smigoc Schweiger
- Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia; (D.S.S.); (T.B.)
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Children’s Hospital, University Medical Centre Ljubljana, Bohoriceva 20, 1000 Ljubljana, Slovenia
| | - Tadej Battelino
- Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia; (D.S.S.); (T.B.)
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Children’s Hospital, University Medical Centre Ljubljana, Bohoriceva 20, 1000 Ljubljana, Slovenia
| | - Urh Groselj
- Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia; (D.S.S.); (T.B.)
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Children’s Hospital, University Medical Centre Ljubljana, Bohoriceva 20, 1000 Ljubljana, Slovenia
- Department of Cardiovascular Medicine, School of Medicine, Stanford University, 870 Quarry Road, Stanford, CA 94305, USA
- Correspondence: ; Tel.: +386-1-522-9235; Fax: +386-1-232-0190
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10
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Azzolino D, Spolidoro GCI, Saporiti E, Luchetti C, Agostoni C, Cesari M. Musculoskeletal Changes Across the Lifespan: Nutrition and the Life-Course Approach to Prevention. Front Med (Lausanne) 2021; 8:697954. [PMID: 34532328 PMCID: PMC8438318 DOI: 10.3389/fmed.2021.697954] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 07/22/2021] [Indexed: 12/12/2022] Open
Abstract
Aging is characterized by the progressive decline of muscle mass and function, the so-called sarcopenia. Also bone loss is widespread among older people. Sarcopenia and osteopenia/osteoporosis are associated with several adverse outcomes including falls, risk of fractures, functional decline, frailty, and mortality. Recently, the life-course approach to prevent or delay functional decline has become very popular. Regarding musculoskeletal health, there is suggestive evidence that acting during critical or sensitive periods of life in which each person build-up its biological reserves may influence the rate of functional decline in the later stages of life. A life-course approach to musculoskeletal health should take place during early life when plasticity allows more easily the attainment of the peak of the musculoskeletal system driven by environmental stimuli. The rate of the subsequent decline will depend on the peak previously reached. Nutrition and physical exercise are important environmental factors that can influence musculoskeletal development by favoring and maintaining peak bone and muscle mass and strength. Here we provide an overview of body composition changes occurring across the lifespan and strategies based on nutrition and physical exercise to support musculoskeletal health as well as minimizing losses during older life.
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Affiliation(s)
- Domenico Azzolino
- Department of Clinical and Community Sciences, University of Milan, Milan, Italy.,Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
| | | | - Edoardo Saporiti
- Specialization School in Geriatrics, University of Milan, Milan, Italy
| | - Costanza Luchetti
- Specialization School in Geriatrics, University of Milan, Milan, Italy
| | - Carlo Agostoni
- Department of Clinical and Community Sciences, University of Milan, Milan, Italy.,Pediatric Intermediate Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Matteo Cesari
- Department of Clinical and Community Sciences, University of Milan, Milan, Italy.,Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
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11
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Martinez SM, Blanco E, Tschann JM, Butte NF, Grandner MA, Pasch LA. Sleep duration, physical activity, and caloric intake are related to weight status in Mexican American children: a longitudinal analysis. Int J Behav Nutr Phys Act 2021; 18:93. [PMID: 34243777 PMCID: PMC8272387 DOI: 10.1186/s12966-021-01159-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 06/17/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Obesity is a serious issue, spanning all ages, and, in the U.S., disproportionately affects Latinos and African Americans. Understanding sleep, physical activity and dietary behaviors that may predict childhood obesity can help identify behavioral intervention targets. METHODS Data were drawn from a U.S. cohort study of 323 Mexican American 8-10-year-old children and their mothers, who participated in a longitudinal study over a 2-year period. Measures were collected at baseline (BL; child mean age = 8.87, SD = 0.83), year 1 (FU1) and year 2 (FU2). Mothers reported on household income and acculturation at BL. Child height and weight were collected and BMI z-scores (BMIz) were calculated for weight status at BL, FU1, and FU2. Accelerometer-estimated sleep duration (hours) and moderate-to-vigorous physical activity (MVPA; minutes) were collected across 3 days at BL, FU1, and FU2. Two 24-h dietary recalls were performed at each time point; from these, average energy intake (EI, kcals/day) was estimated. Cross-lagged panel analysis was used to examine behavioral predictors on BMIz at each time point and across time. RESULTS At BL and FU1, longer sleep duration (β = - 0.22, p < 0.001; β = - 0.17, p < 0.05, respectively) and greater MVPA (β = - 0.13, p < 0.05; β = - 0.20, p < 0.01, respectively) were concurrently related to lower BMIz. At FU2, longer sleep duration (β = - 0.18, p < 0.01) was concurrently related to lower BMIz, whereas greater EI (β = 0.16, p < 0.01) was related to higher BMIz. Longer sleep duration at BL predicted lower BMIz at FU1 (β = - 0.05, p < 0.01). CONCLUSIONS Longer sleep duration was concurrently related to lower weight status at each time point from ages 8-10 to 10-12. Higher MVPA was concurrently related to lower weight status in earlier childhood (ages 8-10 and 9-11) and higher EI was concurrently related to higher weight status toward the end of childhood (ages 10-12 years). Furthermore, longer sleep in earlier childhood was protective of children's lower weight status 1 year later. These findings suggest that sleep duration plays a consistent and protective role against childhood obesity; in addition, MVPA and healthy EI remain important independent factors for obtaining a healthy weight.
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Affiliation(s)
- S M Martinez
- Department of Epidemiology and Biostatistics, University of California, San Francisco; 550 16th St., 2nd Floor, San Francisco, CA, 94158, USA.
| | - E Blanco
- Department of Pediatrics, Division of Child Development and Community Health, University of California, San Diego, La Jolla, CA, USA
- Public Health PhD program, University of Chile, Santiago, Chile
| | - J M Tschann
- Department of Psychiatry and Behavioral Sciences, University of California at San Francisco, San Francisco, CA, 94143-0848, USA
| | - N F Butte
- Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, 1100 Bates Street, Houston, TX, 77030-2600, USA
| | - M A Grandner
- Department of Psychiatry, University of Arizona, 2800 E. Ajo Way, Tucson, AZ, 85713, USA
| | - L A Pasch
- Department of Psychiatry and Behavioral Sciences, University of California at San Francisco, San Francisco, CA, 94143-0848, USA
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12
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Sauder KA, Perng W, Palumbo MP, Bloemsma LD, Carey J, Glueck DH, Dabelea D. Fat Mass Accretion from Birth to 5 Years and Metabolic Homeostasis in Childhood: the Healthy Start Study. J Clin Endocrinol Metab 2021; 106:1684-1691. [PMID: 33616653 PMCID: PMC8118576 DOI: 10.1210/clinem/dgab115] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Indexed: 11/19/2022]
Abstract
CONTEXT It is unclear how fat mass accretion in early life is related to glucose-insulin homeostasis. OBJECTIVE Examine associations of fat and fat-free mass accretion from birth to early childhood with glucose-insulin homeostasis in early childhood in a multi-ethnic cohort. METHODS Observational Healthy Start study with data collection from 2010 to 2020. Air displacement plethysmography at birth and 4.8 (SD 0.7) years estimated fat mass percent (FMP, %), fat mass index (FMI, kg/m2), and fat-free mass index (FFMI, kg/m2). General population recruited from academic obstetrics clinics in Denver, Colorado, consisting of 419 mother/offspring dyads. The main outcome measures were fasting glucose, insulin, homeostasis model assessment-2 insulin resistance (HOMA2-IR), and beta-cell function (HOMA2-B) at 4.8 years. RESULTS Greater fat mass accretion from birth to early childhood was associated with higher fasting glucose (ΔFMP β = 0.20 [95% CI 0.06-0.34], ΔFMI β = 0.90 [0.30-1.50]) in participants of Hispanic, Black, and Other races/ethnicities, while greater fat-free mass accretion was associated with higher fasting glucose in non-Hispanic White participants (ΔFFMI β = 0.76 [0.21-1.32]). Overall, greater fat, but not fat-free, mass accretion was also associated with higher insulin (ΔFMP β = 0.14 [0.09-0.18], ΔFMI 0.71 [0.51-0.92]), HOMA2-IR (FMP β = 0.02 [0.01-0.02], ΔFMI β = 0.09 [0.06-0.12]), and HOMA2-B (ΔFMP β = 0.92 [0.18-1.36], ΔFMI β = 4.76 [2.79-6.73]). CONCLUSION Greater fat mass accretion in infancy and childhood is associated with shifts in fasting glucose in children of Hispanic, Black, and Other races/ethnicities at 5 years of age. Body composition beginning in early life is relevant for metabolic health, and precise assessments of adiposity in pediatric research are needed.
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Affiliation(s)
- Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Correspondence: Katherine Sauder, LEAD Center, University of Colorado Anschutz Medical Campus, 12474 E 19th Avenue – F426, Aurora CO, 80045, USA.
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Michaela P Palumbo
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Lizan D Bloemsma
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - John Carey
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
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13
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Huvinen E, Tuomaala AK, Bergman PH, Meinilä J, Tammelin T, Kulmala J, Engberg E, Koivusalo SB. Ascending Growth is Associated with Offspring Adiposity in Pregnancies Complicated with Obesity or Gestational Diabetes. J Clin Endocrinol Metab 2021; 106:e1993-e2004. [PMID: 33524144 DOI: 10.1210/clinem/dgaa979] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Indexed: 11/19/2022]
Abstract
CONTEXT Early growth is associated with childhood adiposity, but the influence of lifestyle remains unknown. OBJECTIVE This work aimed to investigate the association of growth profiles from high-risk pregnancies with adiposity at age 5 years, taking into account lifestyle and several antenatal/postnatal exposures. METHODS This prospective cohort study. INCLUDED 609 children born during the Finnish Gestational Diabetes Prevention Study (RADIEL), recruiting women with body mass index (BMI) greater than or equal to 30 and/or prior gestational diabetes mellitus (GDM) (2008-2013). Altogether 332 children attended the 5-year follow-up (2014-2017). Main outcome measures included growth profiles based on ponderal index (PI = weight/height3), investigated using latent class mixed models. Adiposity was assessed with anthropometrics and body composition (InBody720). RESULTS We identified 3 growth profiles: ascending (n = 82), intermediate (n = 351), and descending (n = 149). Children with ascending growth had a higher body fat percentage, ISO-BMI, and waist circumference (P < .05) at age 5 years. Ascending (β 4.09; CI, 1.60-6.58) and intermediate (β 2.27; CI, 0.50-4.03) profiles were associated with higher fat percentage, even after adjustment for age, sex, gestational age, diet, physical activity, education, and prepregnancy BMI. Similar associations existed with ISO-BMI. After adjusting for age and education, ascending growth was associated with prepregnancy BMI (odds ratio [OR] 1.06; CI, 1.01-1.12), primiparity (OR 3.07; CI, 1.68-5.62), cesarean delivery (OR 2.23; CI, 1.18-4.21), and lifestyle intervention (OR 2.56; CI, 1.44-4.57). However, meeting the intervention goals and exclusive breastfeeding for 3 months or more were associated with lower odds of ascending growth. CONCLUSION Accelerated early growth was associated with higher adiposity in 5-year-old children from high-risk pregnancies, even when adjusted for lifestyle. Reducing cesarean deliveries and promoting breastfeeding may be beneficial for postnatal growth.
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Affiliation(s)
- Emilia Huvinen
- Teratology Information Service, Emergency Medicine, Department of Prehospital Emergency Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Anna-Kaisa Tuomaala
- Department of Pediatrics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Paula H Bergman
- Biostatistics Consulting, Department of Public Health, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jelena Meinilä
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Tuija Tammelin
- LIKES Research Centre for Physical Activity and Health, Jyväskylä, Finland
| | - Janne Kulmala
- LIKES Research Centre for Physical Activity and Health, Jyväskylä, Finland
| | - Elina Engberg
- Folkhälsan Research Center, Helsinki, Finland
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Saila B Koivusalo
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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14
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Yan Y, Li S, Liu Y, Bazzano L, He J, Mi J, Chen W. The impact of body weight trajectory from childhood on chronic inflammation in adulthood: The Bogalusa Heart Study. Pediatr Investig 2021; 5:21-27. [PMID: 33778423 PMCID: PMC7984006 DOI: 10.1002/ped4.12248] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 02/17/2021] [Indexed: 12/24/2022] Open
Abstract
IMPORTANCE The impact of long-term burden of excessive body weight, beginning in childhood, on inflammatory status in adulthood has been poorly described. OBJECTIVE To characterize the longitudinal body mass index (BMI) trajectory from childhood and examine its relationship with inflammatory status in adulthood. METHODS We included 1285 adults who had 4-15 repeat measurements of BMI from childhood to adulthood. The area under the curve (AUC) of growth curves was calculated to characterize long-term burden (total AUC) and trends (incremental AUC) of BMI. RESULTS After adjusting for covariates, higher values of BMI in terms of childhood and adulthood, as well as total and incremental AUC, were strongly associated with elevated levels of adult C-reactive protein (CRP) in the four race-sex groups. There were significant differences in linear and nonlinear curve parameters between the normal and high CRP groups for all race-sex groups (P < 0.01). Compared with participants who had consistently low BMI in both childhood and adulthood, participants with high BMI in adulthood had higher CRP levels (P < 0.001), irrespective of their childhood BMI status; participants with high BMI in childhood but low BMI in adulthood had similar adult CRP levels. INTERPRETATION The impact of excessive body weight on inflammation is cumulative and exacerbated over time. The influence of childhood overweight/obesity on inflammatory status in adulthood can be alleviated by reducing adiposity in adulthood.
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Affiliation(s)
- Yinkun Yan
- Department of Non‐communicable Disease ManagementBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
- Department of EpidemiologyTulane University School of Public Health and Tropical MedicineNew OrleansLAUSA
| | - Shengxu Li
- Children’s Minnesota Research InstituteChildren’s Hospitals and Clinics of MinnesotaMinneapolisMNUSA
| | - Yang Liu
- Department of EpidemiologyTulane University School of Public Health and Tropical MedicineNew OrleansLAUSA
- Department of CardiologyThe First Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Lydia Bazzano
- Department of EpidemiologyTulane University School of Public Health and Tropical MedicineNew OrleansLAUSA
| | - Jiang He
- Department of EpidemiologyTulane University School of Public Health and Tropical MedicineNew OrleansLAUSA
| | - Jie Mi
- Department of Non‐communicable Disease ManagementBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Wei Chen
- Department of EpidemiologyTulane University School of Public Health and Tropical MedicineNew OrleansLAUSA
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15
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Nestel PJ, Beilin LJ, Clifton PM, Watts GF, Mori TA. Practical Guidance for Food Consumption to Prevent Cardiovascular Disease. Heart Lung Circ 2020; 30:163-179. [PMID: 33158734 DOI: 10.1016/j.hlc.2020.08.022] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 08/28/2020] [Accepted: 08/28/2020] [Indexed: 02/07/2023]
Abstract
This dietary guidance, informed by best contemporary evidence, aims to assist medical practitioners and allied health professionals in advising patients for the primary and secondary prevention of cardiovascular disease (CVD). While differing in some details from other current guidelines, the core messages accord with those published in 2019 by the American College of Cardiology/American Heart Association and the European Society of Cardiology/European Atherosclerosis Society; the National Lipid Association in 2014 and the NH&MRC Australian Dietary Guidelines in 2013. These were assessed through the Appraisal of Guidelines for Research and Evaluation (AGREE II) and the levels of evidence and classes of a recommendation developed using the GRADE system. Recommendations with high levels of evidence include increased consumption of plant based foods comprising mainly complex, fibre enriched carbohydrates (wholegrains, fruits and vegetables) while limiting intake of refined starches; partial replacement of saturated fats with monounsaturated or polyunsaturated fats and oils; reduced salt intake; achievement and maintenance of healthy weight; and low-to-moderate consumption of alcohol. Additional guidance but with moderate levels of evidence includes increased consumption of fish (and fish oils where indicated); reduction in sugar-sweetened beverages and added sugars; avoidance of butter and cream especially in those at increased CVD risk but encouragement of yoghurt; allow moderate consumption of lean meat but limit intake of processed meats; and limit cholesterol-rich foods such as eggs and crustaceans for those at increased CVD risk. Guidance has been formulated qualitatively on food categories of commonly eaten foods while avoiding prescriptive quantitative measures that are less readily translatable. This approach accords with current guidelines such as the American College of Cardiology/American Heart Association 2019 guidelines and is understandable and readily implemented.
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Affiliation(s)
- Paul J Nestel
- Baker Heart and Diabetes Institute, Melbourne, Vic, Australia.
| | - Lawrence J Beilin
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Peter M Clifton
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA, Australia
| | - Gerald F Watts
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, WA, Australia
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16
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Blond K, Aarestrup J, Vistisen D, Bjerregaard LG, Jensen GB, Petersen J, Nordestgaard BG, Jørgensen ME, Jensen BW, Baker JL. Associations between body mass index trajectories in childhood and cardiovascular risk factors in adulthood. Atherosclerosis 2020; 314:10-17. [PMID: 33129081 DOI: 10.1016/j.atherosclerosis.2020.10.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 09/08/2020] [Accepted: 10/07/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS Children with a growth trajectory of overweight have higher levels of cardiovascular disease (CVD) risk factors than children with a normal-weight trajectory. However, less is known about how trajectories of body mass index (BMI) across the rest of the BMI spectrum relate to CVD risk factors and whether adult BMI affects these associations. Our aim was to examine associations between childhood BMI trajectories and adult CVD risk factors. METHODS We included 2466 individuals with childhood weights and heights (ages 6-14) from the Copenhagen School Health Records Register and adult CVD risk factors (ages 20-81) from the Copenhagen City Heart Study. Associations between childhood BMI trajectories identified by latent class modelling and CVD risk factors were examined using generalized linear regression analyses with and without adjustment for adult BMI. Normal-weight and overweight were defined by growth references from the Centers for Disease Control and Prevention. RESULTS We identified four childhood trajectories within the normal-weight spectrum and one trajectory of overweight. Compared to the trajectory with the lowest BMI level, several higher BMI trajectories were associated with worse circumference, HDL and glucose homeostasis in adulthood. The highest trajectory was additionally associated with higher total cholesterol and triglycerides. When adjusting for adult BMI, the higher BMI trajectories had lower waist circumference, blood pressure and triglycerides. CONCLUSIONS Trajectories of BMI within the normal-weight range and in the overweight range are associated with a worse CVD risk profile than in the lowest BMI trajectory, and these associations are modifiable by growth after childhood.
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Affiliation(s)
- Kim Blond
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Julie Aarestrup
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | | | - Lise G Bjerregaard
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Gorm Boje Jensen
- The Copenhagen City Heart Study, Copenhagen University Hospital Frederiksberg, Copenhagen, Denmark; National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Janne Petersen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark; Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Børge G Nordestgaard
- The Copenhagen City Heart Study, Copenhagen University Hospital Frederiksberg, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Marit E Jørgensen
- Steno Diabetes Center Copenhagen, Gentofte, Denmark; National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Britt Wang Jensen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Jennifer L Baker
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark; Novo Nordisk Foundation Center for Basic Metabolic Research, Human Genomics and Metagenomics in Metabolism, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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17
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Fan H, Zhang X. Body mass index trajectory across childhood and subsequent risk of elevated blood pressure. J Clin Hypertens (Greenwich) 2020; 22:1902-1907. [PMID: 33245623 DOI: 10.1111/jch.14001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/25/2020] [Accepted: 07/26/2020] [Indexed: 12/26/2022]
Abstract
We investigated the relationship between the body mass index (BMI) trajectory across childhood and the subsequent occurrence of elevated blood pressure (BP) in the Chinese pediatric population. The study cohort from the China Health and Nutrition Survey comprised 1484 children, each of whom underwent three BP and BMI assessments during childhood and had a non-elevated BP during the first childhood assessment. A group-based trajectory model was used to identify four distinct BMI trajectories across childhood: lean-stable increase, medium-marked increase, heavy marked decrease, and heavy marked increase. Elevated BP in childhood was as defined in the China's national BP reference for children. Covariate-adjusted logistic regression models were used to assess the associations of BMI trajectories with elevated BP. Overall, 27.6% of all participants between 3 and 13 years of age during the first childhood assessment developed elevated BP during a mean 6.5-year follow-up. Compared with participants in the lean-stable increase group, those in the medium-marked increase and heavy marked increase groups were more likely to have elevated BP (odds ratio [95% confidence interval], OR [95% CI]: 1.46 [1.08, 1.96] and 5.29 [2.44, 11.48], respectively; Ps < .05). The OR for the heavy marked decrease group was not statistically significant (OR [95% CI]: 1.58 [0.80, 3.13]; P = .192). In summary, distinct BMI trajectories conferred significantly different odds of elevated BP upon children, thus underscoring the importance of weight management in early life.
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Affiliation(s)
- Hui Fan
- Department of Preventive Medicine, North Sichuan Medical College, Nanchong, China
| | - Xingyu Zhang
- Applied Biostatistics Laboratory, University of Michigan School of Nursing, Ann Arbor, MI, USA
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18
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Lycett K, Juonala M, Magnussen CG, Norrish D, Mensah FK, Liu R, Clifford SA, Carlin JB, Olds T, Saffery R, Kerr JA, Ranganathan S, Baur LA, Sabin MA, Cheung M, Dwyer T, Liu M, Burgner D, Wake M. Body Mass Index From Early to Late Childhood and Cardiometabolic Measurements at 11 to 12 Years. Pediatrics 2020; 146:peds.2019-3666. [PMID: 32632021 DOI: 10.1542/peds.2019-3666] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/29/2020] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES To examine how overweight and obesity at specific ages and overall BMI growth patterns throughout childhood predict cardiometabolic phenotypes at 11 to 12 years. METHODS In a population-based sample of 5107 infants, BMI was measured every 2 years between ages 2 to 3 and 10 to 11 years. We identified 5 BMI trajectories using growth curve models. At ages 11 to 12 years, 1811 children completed assessments for metabolic syndrome risk scores, carotid-femoral pulse wave velocity, and carotid intima-media thickness. Multivariable regression models were used to estimate associations, adjusted for potential confounders (eg, age, sex, smoking exposure, and small for gestational age). RESULTS Overweight and obesity from early childhood onward were strongly associated with higher cardiometabolic risk at 11 to 12 years of age. At age 6 to 7 years, compared with those with a healthy weight, children with overweight had higher metabolic syndrome risk scores by 0.23 SD units (95% confidence interval 0.05 to 0.41) and with obesity by 0.76 SD units (0.51-1.01), with associations almost doubling by age 10 to 11 years. Obese (but not overweight) children had higher outcome pulse wave velocity (0.64-0.73 SD units) from ages 6 to 7 years and slightly higher outcome carotid intima-media thickness (0.20-0.30 SD units) at all ages. Cumulative exposure to high BMI from 2 to 3 years of age carried the greatest cardiometabolic risk, with a gradient of risk across trajectories. CONCLUSIONS High early-childhood BMI is already silently associated with the development of cardiometabolic risk by 11 to 12 years, highlighting the urgent need for effective action to reduce overweight and obesity in early childhood.
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Affiliation(s)
- Kate Lycett
- Centre for Social & Early Emotional Development, Deakin University, Burwood, Victoria, Australia; .,Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Markus Juonala
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Internal Medicine and.,Division of Medicine, Turku University Hospital, Turku, Finland
| | - Costan G Magnussen
- Research School of Computer Science, Australian National University, Canberra, Australian Capital Territory, Australia.,Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, Australia
| | - David Norrish
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Research School of Computer Science, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Fiona K Mensah
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Richard Liu
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Susan A Clifford
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - John B Carlin
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Tim Olds
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Jessica A Kerr
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Sarath Ranganathan
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Louise A Baur
- Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Matthew A Sabin
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Michael Cheung
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Terence Dwyer
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Mengjiao Liu
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - David Burgner
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia.,Department of Paediatrics, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia; and
| | - Melissa Wake
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
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19
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Li X, Keown-Stoneman CDG, Lebovic G, Omand JA, Adeli K, Hamilton JK, Hanley AJ, Mamdani M, McCrindle BW, Sievenpiper JL, Tremblay MS, Maguire JL, Parkin PC, Birken CS. The association between body mass index trajectories and cardiometabolic risk in young children. Pediatr Obes 2020; 15:e12633. [PMID: 32181602 DOI: 10.1111/ijpo.12633] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 03/04/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Rapid growth is associated with increased cardiometabolic risk (CMR) in adolescence and adulthood. Little is known about whether the association between rapid growth and increased CMR originates in early childhood. OBJECTIVES To identify age and sex standardized body mass index (zBMI) trajectories and to examine the association between zBMI trajectories and CMR outcomes in children 0 to 60 months. STUDY DESIGN A longitudinal cohort study was conducted through The Applied Research Group for Kids (TARGet Kids!) in Toronto, Canada. Participants had repeated measures of weight and length or height performed from birth to 60 months of age. Latent class mixed modelling was used to identify the zBMI trajectories. Linear regressions were performed to determine the association between zBMI trajectories and the primary outcome, a CMR score, quantified as the sum of age- and sex- standardized waist circumference, systolic blood pressure, glucose, log-triglycerides and negative high-density lipoprotein cholesterol (HDL-C), divided by √5. Secondary outcomes were the individual components of the CMR formula as well as diastolic blood pressure and non-HDL-C. RESULTS Four BMI trajectories were identified among the 1166 children. After adjusting for all covariates, children in the rapidly accelerating trajectory had increased total CMR score (β = 1.38, 95% CI 0.77; 1.99, P < .001) and increased waist circumference score (β = 2.39, 95% CI 1.92; 2.86, P < .001) compared to the stable low group. CONCLUSIONS Rapid growth during early childhood is associated with increased CMR in preschool children, largely driven by larger waist circumference.
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Affiliation(s)
- Xuedi Li
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Charles D G Keown-Stoneman
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Gerald Lebovic
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jessica A Omand
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Khosrow Adeli
- Clinical Biochemistry, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Biochemistry and Laboratory Medicine & Pathology, University of Toronto, Toronto, Ontario, Canada
| | - Jill K Hamilton
- Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Division of Endocrinology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Anthony J Hanley
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Muhammad Mamdani
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Keenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Li Ka Shing Centre for Healthcare Analytics Research and Training, St. Michael's Hospital, Toronto, Ontario, Canada.,Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Brian W McCrindle
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Preventative Cardiology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Mark S Tremblay
- Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Jonathon L Maguire
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Patricia C Parkin
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Catherine S Birken
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
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20
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Childhood social preference and adolescent insulin resistance: Accounting for the indirect effects of obesity. Psychoneuroendocrinology 2019; 113:104557. [PMID: 31884323 PMCID: PMC6953604 DOI: 10.1016/j.psyneuen.2019.104557] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 08/07/2019] [Accepted: 12/13/2019] [Indexed: 11/21/2022]
Abstract
Insulin resistance, hyperinsulinemia, and Type II diabetes are increasingly common among young people in the United States. The quality of social relationships is a predictor of cardiometabolic health among adults, but has not been studied as a predictor of earlier insulin resistance. The purpose of this study was to test whether social preference (likeability) during childhood predicts insulin resistance and a measure of central adiposity during adolescence. Obesity also was examined as one mechanism through which this association occurs. Data came from a long-term longitudinal community study. At approximately age 7, 240 children were rated by their classmates on how liked and how disliked they were (difference score indexes social preference). Nine years later, at age 16, the same children visited the university laboratory where height, weight, and several measures of central adiposity (waist circumference, sagittal diameter, and waist-to-height ratio) were assessed by trained interviewers. Adolescents also provided fasted blood samples, from which HOMA-estimated insulin resistance was assessed. A path model yielded adequate to good fit indices, χ2 (3, N = 240) = 6.689, p = .08, CFI = .97, RMSEA = .07 [95% CI = .00, .14], sRMR = .03. Results indicated that greater social preference at age 7 was significantly associated with lower IR at age 16. These findings suggest that children who are less liked by their classmates are more likely to demonstrate increased risk of IR. Additionally, BMI at age 15 was positively associated with both IR and WC at age 16. A bootstrapping procedure (10,000 draws) indicated that a child's likeability is associated with IR and WC through the association of likeability with later weight status. The quality of social relationships in childhood is important to consider when trying to understand the recent rise in adolescents' cardiometabolic risk and when considering intervention strategies.
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21
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Wibaek R, Vistisen D, Girma T, Admassu B, Abera M, Abdissa A, Mudie K, Kæstel P, Jørgensen ME, Wells JCK, Michaelsen KF, Friis H, Andersen GS. Body mass index trajectories in early childhood in relation to cardiometabolic risk profile and body composition at 5 years of age. Am J Clin Nutr 2019; 110:1175-1185. [PMID: 31504088 DOI: 10.1093/ajcn/nqz170] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 07/03/2019] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Both impaired and accelerated postnatal growth have been associated with adult risks of obesity and cardiometabolic diseases, like type 2 diabetes and cardiovascular disease. However, the timing of the onset of cardiometabolic changes and the specific growth trajectories linking early growth with later disease risks are not well understood. OBJECTIVES The aim of this study was to identify distinct trajectories of BMI growth from 0 to 5 y and examine their associations with body composition and markers of cardiometabolic risk at age 5 y. METHODS In a prospective birth cohort study of 453 healthy and term Ethiopian children with BMIs assessed a median of 9 times during follow-up, we identified subgroups of distinct BMI trajectories in early childhood using latent class trajectory modeling. Associations of the identified growth trajectories with cardiometabolic markers and body composition at 5 y were analyzed using multiple linear regression analyses in 4 adjustment models for each outcome. RESULTS We identified 4 heterogeneous BMI growth trajectories: stable low BMI (19.2%), normal BMI (48.8%), rapid catch-up to high BMI (17.9%), and slow catch-up to high BMI (14.1%). Compared with the normal BMI trajectory, children in the rapid catch-up to high BMI trajectory had higher triglycerides (TGs) (range of β-coefficients in Models 1-4: 19-21%), C-peptides (23-25%), fat masses (0.48-0.60 kg), and fat-free masses (0.50-0.77 kg) across the 4 adjustment models. Children in the stable low BMI trajectory had lower LDL cholesterol concentrations (0.14-0.17 mmol/L), HDL cholesterol concentrations (0.05-0.09 mmol/L), fat masses (0.60-0.64 kg), and fat-free masses (0.35-0.49 kg), but higher TGs (11-13%). CONCLUSIONS The development of obesity and cardiometabolic risks may be established already in early childhood; thus, our data provide a further basis for timely interventions targeted at young children from low-income countries with unfavorable growth patterns. The birth cohort was registered at ISRCTN as ISRCTN46718296.
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Affiliation(s)
- Rasmus Wibaek
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.,Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Dorte Vistisen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Tsinuel Girma
- Department of Pediatrics and Child Health, Jimma University, Jimma, Ethiopia.,Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia
| | - Bitiya Admassu
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.,Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia.,Department of Population and Family Health, Jimma University, Jimma, Ethiopia
| | - Mubarek Abera
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.,Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia.,Department of Psychiatry, Jimma University, Jimma, Ethiopia
| | - Alemseged Abdissa
- Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia.,Department of Laboratory Sciences and Pathology, Jimma University, Jimma, Ethiopia
| | - Kissi Mudie
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Pernille Kæstel
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Marit E Jørgensen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark.,National Institute of Public Health, Southern Denmark University, Copenhagen, Denmark
| | - Jonathan C K Wells
- Childhood Nutrition Research Centre, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Kim F Michaelsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Friis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Gregers S Andersen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
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22
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Aris IM, Oken E. Childhood adiposity trajectories: discerning order amongst the chaos. Am J Clin Nutr 2019; 110:1049-1050. [PMID: 31504113 PMCID: PMC6821542 DOI: 10.1093/ajcn/nqz217] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Affiliation(s)
- Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
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23
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Yan Y, Bazzano LA, Juonala M, Raitakari OT, Viikari JSA, Prineas R, Dwyer T, Sinaiko A, Burns TL, Daniels SR, Woo JG, Khoury PR, Urbina EM, Jacobs DR, Hu T, Steinberger J, Venn A, Chen W. Long-Term Burden of Increased Body Mass Index from Childhood on Adult Dyslipidemia: The i3C Consortium Study. J Clin Med 2019; 8:jcm8101725. [PMID: 31635325 PMCID: PMC6832308 DOI: 10.3390/jcm8101725] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 10/08/2019] [Accepted: 10/15/2019] [Indexed: 02/07/2023] Open
Abstract
Background: Data are limited regarding the association of cumulative burden and trajectory of body mass index (BMI) from early life with adult lipid disorders. Methods: The study cohort consisted of 5195 adults who had BMI repeatedly measured 4 to 21 times from childhood and had blood lipid measurements of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) and information on lipid-lowering medications in the last adult survey. The area under the curve (AUC) was calculated as a measure of long-term burden (total AUC) and trends (incremental AUC) of BMI. Results: Participants with dyslipidemia, high LDL-C, low HDL-C and high TG had consistently and significantly higher BMI levels from childhood to adulthood compared to those with normal lipid levels. After adjusting for age, race, sex, and cohort, increased risk of adult dyslipidemia was significantly associated with higher values of childhood BMI, adulthood BMI, total AUC and incremental AUC, with odds ratio (95% confidence interval) = 1.22 (1.15–1.29), 1.85 (1.74–1.97), 1.61 (1.52–1.71), and 1.59 (1.50–1.69), respectively, and p < 0.001 for all. The association patterns were similar in most race–sex subgroups. Conclusions: Adults with dyslipidemia versus normal lipid levels have consistently higher levels and distinct life-course trajectories of BMI, suggesting that the impact of excessive body weight on dyslipidemia originates in early life.
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Affiliation(s)
- Yinkun Yan
- Department of Epidemiology, School of Public Health & Tropical Medicine, Tulane University, New Orleans, LA 70112, USA.
| | - Lydia A Bazzano
- Department of Epidemiology, School of Public Health & Tropical Medicine, Tulane University, New Orleans, LA 70112, USA.
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku 20500, Finland.
- Division of Medicine, Turku University Hospital, Turku 20521, Finland.
- Murdoch Children's Research Institute, Parkville, Victoria 3052, Australia.
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku FI-20520, Finland.
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20521, Finland.
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku 20500, Finland.
- Division of Medicine, Turku University Hospital, Turku 20521, Finland.
| | - Ronald Prineas
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
| | - Terence Dwyer
- George Institute, University of Oxford, Oxford OX1 2BQ, UK.
| | - Alan Sinaiko
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Trudy L Burns
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA 52246, USA.
| | - Stephen R Daniels
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA.
| | - Jessica G Woo
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA.
| | - Philip R Khoury
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA.
- The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
| | - Elaine M Urbina
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA.
- The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Tian Hu
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Julia Steinberger
- Division of Pediatric Cardiology, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Alison Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart TAS 7000, Australia.
| | - Wei Chen
- Department of Epidemiology, School of Public Health & Tropical Medicine, Tulane University, New Orleans, LA 70112, USA.
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24
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Tsai TH, Huang N, Lin IF, Chou YJ. Variation in the 11-year trajectories of medical care seeking behaviors in diabetes patients under a single payer system: persisting gaps to be filled. BMC Health Serv Res 2019; 19:580. [PMID: 31426781 PMCID: PMC6699076 DOI: 10.1186/s12913-019-4399-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2018] [Accepted: 08/02/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Care-seeking behavior is widely acknowledged to have strong influences on health outcomes among individuals with chronic conditions including diabetes. Despite its dynamic nature, care seeking behavior are often considered as time invariant in most studies. The likelihood of patients changing their regularity and source of chronic care over time is often neglected. This study aimed to determine the long-term trajectories of care-seeking patterns of both care-seeking regularity and health provider choices; and their associated factors among patients with type 2 diabetes under the National Health Insurance (NHI) program in Taiwan. METHODS We utilized population-based data from the National Health Insurance Research Database (NHIRD) in Taiwan. Three thousand, nine hundred and eighty-seven adult patients with newly diagnosed type 2 diabetes in 1999 were enrolled in the cohort. We assessed their trajectories of regular care visits and sources of diabetes care from 2000 to 2010. A group-based trajectory model was applied. RESULTS Seven distinct groups of long-term care-seeking patterns were identified. Only 51.44% of patients with newly diagnosed diabetes had regularly visited their providers over time. Among them, 56.41 and 16.09% had persistently sought care from generalized and specialized providers, respectively. 27.50% had sought care from different levels of providers. Patients who were male, elderly, low-income, and had a higher baseline diabetes severity were significantly more likely to either continue with their irregular care-seeking behavior or fail to maintain their regular care seeking behavior over time. Those who were younger, had a higher socioeconomic status, and lived in an urban area were significantly more likely to persistently seek care from specialized care settings. CONCLUSIONS This study is the first population-based assessment of long-term care-seeking behaviors of type 2 diabetes patients under a single-payer system with a comprehensive benefit coverage. The most alarming finding was that, despite the existence of the comprehensive universal health insurance coverage in Taiwan, almost 50% of patients did not seek or maintain regular visits to providers over time as recommended. Understanding variations in the long-term trajectories of care adherence and sources of care may help to identify gaps in diabetes care management.
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Affiliation(s)
- Tzu-Ho Tsai
- Institute of Public Health, School of Medicine, National Yang-Ming University, No.115, Sec. 2, Linong Street, Taipei, Taiwan
- Department of Intensive Care, Cheng-Hsin Hospital, No. 45, Cheng Hsin Street, Taipei, Taiwan
| | - Nicole Huang
- Institute of Hospital and Health Care Administration, School of Medicine, National Yang-Ming University, No.115, Sec. 2, Linong Street, Taipei, Taiwan
| | - I-Feng Lin
- Institute of Public Health, School of Medicine, National Yang-Ming University, No.115, Sec. 2, Linong Street, Taipei, Taiwan
| | - Yiing-Jenq Chou
- Institute of Public Health, School of Medicine, National Yang-Ming University, No.115, Sec. 2, Linong Street, Taipei, Taiwan
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Zhang T, Whelton PK, Xi B, Krousel-Wood M, Bazzano L, He J, Chen W, Li S. Rate of change in body mass index at different ages during childhood and adult obesity risk. Pediatr Obes 2019; 14:e12513. [PMID: 30702812 PMCID: PMC6684349 DOI: 10.1111/ijpo.12513] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 01/05/2019] [Indexed: 01/22/2023]
Abstract
BACKGROUND Childhood body mass index (BMI) predicts adult obesity. How growth trajectories during childhood relate to adult obesity risk is not well defined. OBJECTIVE We aimed to characterize BMI growth trajectories from childhood to midlife and to examine the associations between BMI growth rates at childhood age points and adult obesity risk. METHODS The longitudinal study included 2732 participants with repeated BMI measurements from childhood (4-19 y) to adulthood (20-51 y). A random-effects model was used to construct BMI growth curves by race and sex. Model-estimated levels and linear growth rates of BMI were linked to adult obesity in separate multivariable logistic regression models at individual childhood age points. RESULTS BMI followed cubic growth curves. Childhood BMI linear slope estimates were higher in adults with obesity than in adults without obesity (P < 0.001). The association between childhood BMI growth rate and adult obesity was significantly higher in puberty and postpuberty (12-19 y) than in early childhood (4-11 y) with a peak at age 14 (odds ratio = 3.1 and 95% confidence interval, 2.7-3.5). CONCLUSIONS Rates of change in BMI at different childhood ages are differentially associated with adult obesity. Puberty and postpuberty are crucial periods for the development of obesity in later life.
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Affiliation(s)
- Tao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, Shandong Province, China
| | - Paul K. Whelton
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Bo Xi
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, Shandong Province, China
| | - Marie Krousel-Wood
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
- Ochsner Health System, New Orleans, LA, USA
| | - Lydia Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Wei Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Shengxu Li
- Children’s Minnesota Research Institute, Children’s Hospitals and Clinics of Minnesota, Minneapolis, MN
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Barraclough JY, Garden FL, Toelle BG, Marks GB, Baur LA, Ayer JG, Celermajer DS. Weight Gain Trajectories from Birth to Adolescence and Cardiometabolic Status in Adolescence. J Pediatr 2019; 208:89-95.e4. [PMID: 30738659 DOI: 10.1016/j.jpeds.2018.12.034] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 12/09/2018] [Accepted: 12/12/2018] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To assess the influence of the trajectory of weight gain from birth to adolescence on cardiovascular and metabolic risk. We studied childhood body mass index (BMI) trajectories from birth to age 14 years and cardiometabolic risk factors at age 14 years. STUDY DESIGN In total, 410 children with weight and height measurements were assessed from birth throughout childhood, from the Childhood Asthma Prevention Study, a prospective community-based cohort. BMI trajectory groups were determined by latent basis growth mixture models. Of these subjects, 190 had detailed cardiometabolic risk factors assessed at age 14 years. RESULTS Three BMI trajectory groups were identified; normal BMI, "early rising" excess BMI from 2 years, and "late rising" excess BMI from 5 years. Differences were found between normal and excess BMI in children at 14 years of age. In addition, children with an early rising BMI trajectory had statistically significantly higher central adiposity and a more atherogenic lipoprotein profile at age 14 years than children with a late rising BMI trajectory (P < .05). No differences between BMI trajectory groups in vascular structure or function was identified at age 14 years. CONCLUSIONS Earlier onset of an elevated BMI trajectory persisting from birth to age 14 years results in an unfavorable cardiometabolic risk profile at age 14 years, including central adiposity and more atherogenic lipoproteins, independent of achieved BMI.
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Affiliation(s)
- Jennifer Y Barraclough
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia; Heart Research Institute, Sydney, Australia.
| | - Frances L Garden
- Woolcock Institute of Medical Research, Glebe, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia; Ingham Institute of Applied Medical Research, Sydney, Australia
| | - Brett G Toelle
- Woolcock Institute of Medical Research, Glebe, New South Wales, Australia; Sydney Local Health District, New South Wales, Australia
| | - Guy B Marks
- Woolcock Institute of Medical Research, Glebe, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia; Ingham Institute of Applied Medical Research, Sydney, Australia
| | - Louise A Baur
- University of Sydney, Discipline of Child and Adolescent Health, The Children's Hospital at Westmead Clinical School, Westmead, New South Wales, Australia
| | - Julian G Ayer
- University of Sydney, Discipline of Child and Adolescent Health, The Children's Hospital at Westmead Clinical School, Westmead, New South Wales, Australia; The Heart Center for Children, The Children's Hospital at Westmead, Westmead, New South Wales, Australia
| | - David S Celermajer
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia; Heart Research Institute, Sydney, Australia
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Plank LD, Obolonkin V, Smith M, Savila F, Jalili-Moghaddam S, Tautolo ES, Rush EC. Pacific Islands Families Study: Physical growth to age 14 and metabolic risk. Pediatr Obes 2019; 14:e12497. [PMID: 30653850 DOI: 10.1111/ijpo.12497] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 11/21/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND The relationships between the trajectories of weight gain from early childhood to adolescence and risk for metabolic disease are not well understood. OBJECTIVE The objective of the study is to examine the relationships between weight gain from 2 to 14 years and metabolic risk factors at age 14 years in Pacific Island children. METHODS z scores for weight were calculated at each of the ages 2.5, 4, 6, 9, 11, and 13.5 years in 1053 children. Growth trajectories were determined by estimating the linear trend of z scores with age for each child. In a subgroup of 204 children, biomarkers of metabolic risk were measured and related to linear trend intercepts and slopes. RESULTS More rapid growth (greater slope of z score trajectory) was associated with higher concentrations of insulin, leptin (boys), urate, and markers of liver function, insulin resistance and inflammation. Children with higher weights in early life (greater intercept) showed fewer associations with metabolic markers, but considered together, intercept and slope were independently associated with a range of metabolic risk factors. CONCLUSIONS Both rapid weight gain and a higher body weight in early childhood were associated with higher risk for metabolic disease. Monitoring growth trajectories may help target interventions to optimize nutrition, physical activity, and growth.
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Affiliation(s)
- Lindsay D Plank
- Department of Surgery, University of Auckland, Auckland, New Zealand
| | - Vladimir Obolonkin
- Child Health Research Centre, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Melody Smith
- School of Nursing, University of Auckland, Auckland, New Zealand
| | - Fa'asisila Savila
- Centre for Pacific Health and Development Research, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Shabnam Jalili-Moghaddam
- Child Health Research Centre, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.,Centre for Pacific Health and Development Research, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
| | - El-Shadan Tautolo
- Centre for Pacific Health and Development Research, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Elaine C Rush
- Child Health Research Centre, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.,Centre for Pacific Health and Development Research, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
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Body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose. PLoS One 2019; 14:e0213828. [PMID: 31042715 PMCID: PMC6493705 DOI: 10.1371/journal.pone.0213828] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Accepted: 03/01/2019] [Indexed: 11/23/2022] Open
Abstract
Objectives To explore the association between sex-specific adiposity trajectories among Adolescents to early adulthood with incident high blood pressure (HBP) and high plasma glucose (HPG). Methods We studied body mass index (BMI) trajectories among1159 (male = 517) and 664 (male = 263) Iranian adolescents, aged 12–20 years, for incident HPG and HBP, respectively. Latent Class Growth Mixture Modeling (LCGMM) on longitudinal data was used to determine sex-specific and distinct BMI trajectories. Logistic regressions were applied to estimate the relationship between latent class membership with HBP and HPG, considering normal trajectory as the reference. Results For both HBP and HPG, LCGMM determined two and three distinct BMI trajectories in males and females, respectively. During a follow-up of 12Years 104 (male = 62) and 111(male = 59) cases of HPG and HBP were found, respectively. Among females, faster BMI increases (i.e. overweight to early obese trajectory) but not overweight (i.e. those with BMI = 27.3 kg/m2 at baseline) trajectories increased the risk of HPG by adjusted odds ratios (ORs), 2.74 (1.10–5.80) and 0.79 (0.22–2.82), respectively; regarding HBP, the corresponding value for overweight to late obese trajectory was 3.72 (1.37–11.02). Among males, for HBP, the overweight trajectory increased the risk [2.09 (1.04–4.03)]; however, for incident HPG, none of the trajectories showed significant risk. Conclusions Among females, trend of increasing BMI parallel with age can be a better predictor for risk of developing HPG and HBP than those with higher BMI at baseline.
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Relationship between umbilical cord sex hormone binding globulin, sex steroids, and age at menarche: a prospective cohort study. Fertil Steril 2019; 110:965-973. [PMID: 30316444 DOI: 10.1016/j.fertnstert.2018.06.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 05/03/2018] [Accepted: 06/04/2018] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To study the role of the prenatal environment in regulating reproductive development by measuring the prospective association between umbilical cord concentrations of sex hormone binding globulin (SHBG; principal regulator of sex steroid activity), bioavailable sex steroids, and age at menarche. DESIGN Prospective population-based cohort. SETTING Not applicable. PATIENT(S) In 286 female members of the Western Australian Pregnancy (Raine) cohort, concentrations of SHBG and steroids (estrogens: estrone, estradiol, estriol and estetrol [E4]; androgens: total testosterone, Δ4-androstenedione, androstenedione and dehydroepiandrosterone) were measured by liquid chromatography-tandem mass spectrometry from archived umbilical cord blood samples collected at birth. Bioavailable concentrations of testosterone and estradiol were calculated along with total composite measures of androgen and estrogen bioactivity. SHBG was measured by ELISA. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Age of menarche was calculated from date of menarche, collected prospectively by questionnaire sent home with participants at the year 10 follow-up. RESULT(S) Higher maternal education, higher body mass index, and the presence of antepartum hemorrhage were all significantly associated with earlier age at menarche. The bioavailable sex steroid measures accounted for 8.3% of the variance in age at menarche. Further, both SHBG and E4 concentrations accounted for a significant proportion of unique variance in age at menarche. CONCLUSION(S) Lower SHBG and higher E4 concentrations in umbilical cord blood were associated with earlier age at menarche. These results suggest that the prenatal sex steroid environment contributes toward pubertal development and age at menarche.
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Straker L, Mountain J, Jacques A, White S, Smith A, Landau L, Stanley F, Newnham J, Pennell C, Eastwood P. Cohort Profile: The Western Australian Pregnancy Cohort (Raine) Study-Generation 2. Int J Epidemiol 2019; 46:1384-1385j. [PMID: 28064197 DOI: 10.1093/ije/dyw308] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/13/2016] [Indexed: 12/11/2022] Open
Affiliation(s)
- Leon Straker
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
| | - Jenny Mountain
- School of Population Health, University of Western Australia, Perth, WA, Australia
| | - Angela Jacques
- School of Population Health, University of Western Australia, Perth, WA, Australia
| | - Scott White
- Maternal Fetal Medicine Service, King Edward Memorial Hospital, Perth, WA, Australia
| | - Anne Smith
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
| | - Louis Landau
- School of Medicine and Pharmacology, University of Western Australia, and Department of Health, Government of Western Australia, Perth, WA, Australia
| | | | | | | | - Peter Eastwood
- Centre for Sleep Science, School of Anatomy, Physiology and Human Biology, University of Western Australia, Perth, WA, Australia
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Hayes A, Tan EJ, Lung T, Brown V, Moodie M, Baur L. A New Model for Evaluation of Interventions to Prevent Obesity in Early Childhood. Front Endocrinol (Lausanne) 2019; 10:132. [PMID: 30881347 PMCID: PMC6405882 DOI: 10.3389/fendo.2019.00132] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 02/12/2019] [Indexed: 01/22/2023] Open
Abstract
Background: Childhood obesity is a serious public health issue. In Australia, 1 in 4 children is already affected by overweight or obesity at the time of school entry. Governments around the world have recognized this problem through investment in the prevention of pediatric obesity, yet few interventions in early childhood have been subjected to economic evaluation. Information on cost-effectiveness is vital to decisions about program implementation. A challenge in evaluating preventive interventions in early childhood is to capture long-term costs and outcomes beyond the duration of an intervention, as the benefits of early obesity prevention will not be realized until some years into the future. However, decisions need to be made in the present, and modeling is one way to inform such decisions. Objective: To describe the conceptual structure of a new health economic model (the Early Prevention of Obesity in CHildhood (EPOCH) model) for evaluating childhood obesity interventions; and to validate the epidemiologic predictions. Methods and Results: We use an individual-level (micro-simulation) method to model BMI trajectories and the progression of obesity from early childhood to adolescence. The equations predicting individual BMI change underpinning our model were derived from data from the population-representative study, the Longitudinal Study of Australian Children (LSAC). Our approach is novel because it will account for costs and benefits accrued throughout childhood and adolescence. As a first step to validate the epidemiological predictions of the model, we used input data representing over 250,000 children aged 4/5 years, and simulated BMI and obesity trajectories until adolescence. Simulated mean BMI and obesity prevalence for boys and girls were verified by nationally-representative data on children at 14/15 years of age. Discussion: The EPOCH model is epidemiologically sound in its prediction of both BMI trajectories and prevalence of obesity for boys and girls. Future developments of the model will include socio-economic position and will incorporate the impacts of obesity on healthcare costs. The EPOCH model will help answer: when is it best to intervene in childhood; what are the most cost-effective approaches and which population groups will benefit most from interventions.
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Affiliation(s)
- Alison Hayes
- Centre for Research Excellence in Early Prevention of Obesity in Childhood, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney School of Public Health, Sydney, NSW, Australia
| | - Eng J Tan
- Centre for Research Excellence in Early Prevention of Obesity in Childhood, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney School of Public Health, Sydney, NSW, Australia
| | - Thomas Lung
- Health Economics and Process Evaluation, The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Vicki Brown
- Centre for Research Excellence in Early Prevention of Obesity in Childhood, Sydney, NSW, Australia
- Deakin Health Economics, Centre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, VIC, Australia
| | - Marj Moodie
- Centre for Research Excellence in Early Prevention of Obesity in Childhood, Sydney, NSW, Australia
- Deakin Health Economics, Centre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, VIC, Australia
| | - Louise Baur
- Centre for Research Excellence in Early Prevention of Obesity in Childhood, Sydney, NSW, Australia
- The Children's Hospital at Westmead Clinical School, University of Sydney, Sydney, NSW, Australia
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Van Hulst A, Paradis G, Benedetti A, Barnett TA, Henderson M. Pathways Linking Birth Weight and Insulin Sensitivity in Early Adolescence: A Double Mediation Analysis. J Clin Endocrinol Metab 2018; 103:4524-4532. [PMID: 30137396 PMCID: PMC6220441 DOI: 10.1210/jc.2018-00525] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 08/15/2018] [Indexed: 01/02/2023]
Abstract
PURPOSE We examined pathways linking birth weight, weight gain from 0 to 2 years, and adiposity during childhood with insulin sensitivity in early adolescence. METHODS Data were from a longitudinal cohort of 630 Quebec white children with a parental history of obesity (Quebec Adipose and Lifestyle Investigation in Youth study). In a subsample of children born at term (n = 395), weight-for-length z score (zWFL) from 0 to 2 years were computed. At 8 to 10 years, the percentage of body fat was assessed using dual energy X-ray absorptiometry. At 10 to 12 years, the Matsuda insulin sensitivity index (ISI) and the homeostasis model assessment for insulin resistance were determined. A linear regression-based approach for mediation analysis was used to estimate the distinct pathways linking zWFL at 0 to 2 years to insulin sensitivity. RESULTS Every additional unit in zWFL at birth was associated with a 10% (95% CI, 5.26% to 14.85%) increase in the Matsuda ISI in early adolescence, independently of the weight at 0 to 2 years and in childhood. An indirect effect of zWFL at birth on the Matsuda ISI was also observed but in the opposite direction (-4.44; 95% CI, -7.91 to -1.05). This relation was mediated by childhood adiposity but not by weight gain from 0 to 2 years. The indirect effect of weight gain from 0 to 2 years, via childhood adiposity, also led to lower insulin sensitivity (-4.83%, 95% CI, -7.34 to -2.53). The findings were similar for the homeostasis model assessment for insulin resistance or when restricted to children with appropriate-for-gestational-age birth weights. CONCLUSIONS A greater birth weight-for-length resulted in improved insulin sensitivity in early adolescence. However, in the presence of excess childhood adiposity, both a greater birth weight and a faster rate of weight gain from 0 to 2 years resulted in lower insulin sensitivity.
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Affiliation(s)
- Andraea Van Hulst
- Ingram School of Nursing, McGill University, Montreal, Quebec, Canada
- Centre de Recherche du CHU Sainte-Justine, Montreal, Quebec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Gilles Paradis
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, Quebec, Canada
| | - Tracie A Barnett
- Centre de Recherche du CHU Sainte-Justine, Montreal, Quebec, Canada
- INRS-Armand-Frappier Institute, Laval, Quebec, Canada
| | - Mélanie Henderson
- Centre de Recherche du CHU Sainte-Justine, Montreal, Quebec, Canada
- Department of Pediatrics, University of Montreal, Montreal, Quebec, Canada
- Correspondence and Reprint Requests: Mélanie Henderson, MD, PhD, Division of Endocrinology, Centre Hospitalier Universitaire Sainte-Justine, 3175 Chemin Côte Sainte-Catherine, Montreal, Quebec H3T 1C5, Canada. E-mail:
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Jabakhanji SB, Boland F, Ward M, Biesma R. Body Mass Index Changes in Early Childhood. J Pediatr 2018; 202:106-114. [PMID: 30146115 DOI: 10.1016/j.jpeds.2018.06.049] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2018] [Revised: 05/08/2018] [Accepted: 06/14/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVE To longitudinally investigate body mass index (BMI) in young children in Ireland and identify factors and critical time points associated with changes in BMI. STUDY DESIGN Data on 11 134 children were collected in the nationally representative Growing Up in Ireland infant cohort study. Height and weight were measured at 9 months, 3 years, and 5 years of age. Multilevel regression was used to identify risk factors associated with changes in BMI over time (n = 10 377), combining a unique set of covariates collected from the child and the 2 main caregivers (usually the mother and father). RESULTS The proportion of children ≥85th percentile of World Health Organization growth criteria was 39% at 9 months, 44% at 3 years, and 30% at 5 years. Children born large for gestational age (13%) and those with rapid infant weight gain (25%) consistently had higher BMI. Low average BMIs were consistently seen in children born small for gestational age (10%) or before 37 weeks (7%). Smaller variations in BMI existed for other factors including ethnicity, household structure, caregiver weight status, breastfeeding, sex, socioeconomic status, sleeping hours, childcare, and region. CONCLUSIONS In this study, differences at birth and in infancy appear to be most strongly associated with variation in BMI at all ages. Nevertheless, belonging to a number of other high-risk groups cumulatively could lead children to develop critical weight states. Policy-makers should target families with interventions before and during pregnancy when dominant risk factors are still modifiable. Longer-term follow-up of children may be needed to study associations later in childhood.
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Affiliation(s)
| | - Fiona Boland
- Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Mark Ward
- School of Medicine, The Center for Medical Gerontology, Trinity College Dublin, Dublin, Ireland
| | - Regien Biesma
- Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
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Araújo J, Ramos E, Mishra GD, Severo M. The use of weight adjusted for height rather than body mass index to assess growth trajectory: Results from a population‐based cohort. Stat Med 2018; 38:855-865. [DOI: 10.1002/sim.8007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 09/25/2018] [Accepted: 09/27/2018] [Indexed: 11/07/2022]
Affiliation(s)
- Joana Araújo
- EPIUnit – Instituto de Saúde Pública, Universidade do Porto Porto Portugal
| | - Elisabete Ramos
- EPIUnit – Instituto de Saúde Pública, Universidade do Porto Porto Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação MédicaFaculdade de Medicina da Universidade do Porto Porto Portugal
| | - Gita D. Mishra
- Centre for Longitudinal and Life Course Research, School of Public HealthUniversity of Queensland Brisbane Australia
| | - Milton Severo
- EPIUnit – Instituto de Saúde Pública, Universidade do Porto Porto Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação MédicaFaculdade de Medicina da Universidade do Porto Porto Portugal
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Prinz N, Schwandt A, Becker M, Denzer C, Flury M, Fritsch M, Galler A, Lemmer A, Papsch M, Reinehr T, Rosenbauer J, Holl RW. Trajectories of Body Mass Index from Childhood to Young Adulthood among Patients with Type 1 Diabetes-A Longitudinal Group-Based Modeling Approach Based on the DPV Registry. J Pediatr 2018; 201:78-85.e4. [PMID: 29937081 DOI: 10.1016/j.jpeds.2018.05.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 04/05/2018] [Accepted: 05/09/2018] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To identify distinct longitudinal patterns of body mass index (BMI) z score in type 1 diabetes from childhood to young adulthood and secondly to determine sex differences as well as associated clinical covariates. STUDY DESIGN A total of 5665 patients with type 1 diabetes (51% male) with follow-up from 8 to 20 years of age from the multicenter diabetes prospective registry DPV were studied (baseline diabetes duration ≥1 years, BMI z score aggregated per year of life). Latent class growth modeling (SAS: PROC TRAJ) was applied to analyze BMI z score over time. RESULTS Six distinct BMI z score trajectories were identified (group 1: 7% of patients, group 2: 22%, group 3: 20%, group 4: 16%, group 5: 25%, and group 6: 10%). Group 1, 2, 5, and 6 had an almost stable BMI z score, either in the low, near-normal, high stable, or chronic overweight range. Group 3 (60% girls) increased their BMI during puberty, whereas group 4 (65% boys) had a BMI decrease. Similar patterns were observed for girls only, whereas boys followed nearly stable trajectories without fluctuation over time. Between the near-normal and the other groups, significant differences (P < .05) in sex ratio, migration background, mental health, height z score, glycated hemoglobin A1c, diabetes treatment, dyslipidemia, hypertension, and smoking were observed. CONCLUSIONS In youth with type 1 diabetes, a great heterogeneity of BMI z score trajectories exists that highlight the importance of personalized sex-specific intervention programs for subjects at risk for unfavorable BMI development.
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Affiliation(s)
- Nicole Prinz
- Institute of Epidemiology and Medical Biometry, Central Institute for Biomedical Technology, University of Ulm, Ulm, Germany; German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany.
| | - Anke Schwandt
- Institute of Epidemiology and Medical Biometry, Central Institute for Biomedical Technology, University of Ulm, Ulm, Germany; German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Marianne Becker
- Department of Pediatrics, Diabetes & Endocrinology Care Clinique Pédiatrique, Centre Hospitalier Luxembourg, Luxembourg, Luxembourg
| | - Christian Denzer
- Department of Pediatrics and Adolescent Medicine, Division of Pediatric Endocrinology and Diabetes, Interdisciplinary Obesity Unit, University Medical Center Ulm, Ulm, Germany
| | - Monika Flury
- Department of Pediatrics and Adolescent Medicine, Division of Pediatric Endocrinology and Diabetes, Medical University Carl Gustav Carus, Dresden, Germany
| | - Maria Fritsch
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Angela Galler
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Sozialpädiatrisches Zentrum, Abteilung Interdisziplinär, Pediatric Endocrinology and Diabetology, Berlin, Germany
| | - Andreas Lemmer
- Department of Pediatrics and Adolescent Medicine, Helios Clinical Center, Erfurt, Germany
| | - Matthias Papsch
- Department of Pediatrics and Adolescent Medicine, Marienhospital GmbH, Gelsenkirchen, Germany
| | - Thomas Reinehr
- Department of Pediatric Endocrinology, Diabetes, and Nutrition Medicine, Hospital for Children and Adolescents, University of Witten/Herdecke, Datteln, Germany
| | - Joachim Rosenbauer
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany; Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, Central Institute for Biomedical Technology, University of Ulm, Ulm, Germany; German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
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Guillemette L, Hay JL, Kehler DS, Hamm NC, Oldfield C, McGavock JM, Duhamel TA. Exercise in Pregnancy and Children's Cardiometabolic Risk Factors: a Systematic Review and Meta-Analysis. SPORTS MEDICINE - OPEN 2018; 4:35. [PMID: 30069801 PMCID: PMC6070449 DOI: 10.1186/s40798-018-0148-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 07/03/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND Maternal metabolic health during the prenatal period is an established determinant of cardiometabolic disease risk. Many studies have focused on poor offspring outcomes after exposure to poor maternal health, while few have systematically appraised the evidence surrounding the role of maternal exercise in decreasing this risk. The aim of this study is to characterize and quantify the specific impact of prenatal exercise on children's cardiometabolic health markers, at birth and in childhood. METHODS A systematic review of Scopus, MEDLINE, EMBASE, CENTRAL, CINAHL, and SPORTDiscus up to December 2017 was conducted. Randomized controlled trials (RCTs) and prospective cohort studies of prenatal aerobic exercise and/or resistance training reporting eligible offspring outcomes were included. Four reviewers independently identified eligible citations and extracted study-level data. The primary outcome was birth weight; secondary outcomes, specified a priori, included large-for-gestational age status, fat and lean mass, dyslipidemia, dysglycemia, and blood pressure. We included 73 of the 9804 citations initially identified. Data from RCTs was pooled using random effects models. Statistical heterogeneity was quantified using the I2 test. Analyses were done between June and December 2017 and the search was updated in December 2017. RESULTS Fifteen observational studies (n = 290,951 children) and 39 RCTs (n = 6875 children) were included. Observational studies were highly heterogeneous and had discrepant conclusions, but globally showed no clinically relevant effect of exercise on offspring outcomes. Meta-analyzed RCTs indicated that prenatal exercise did not significantly impact birth weight (mean difference [MD] - 22.1 g, 95% confidence interval [CI] - 51.5 to 7.3 g, n = 6766) or large-for-gestational age status (risk ratio 0.85, 95% CI 0.51 to 1.44, n = 937) compared to no exercise. Sub-group analyses showed that prenatal exercise reduced birth weight according to timing (starting after 20 weeks of gestation, MD - 84.3 g, 95% CI - 142.2, - 26.4 g, n = 1124), type of exercise (aerobic only, MD - 58.7 g, 95% CI - 109.7, - 7.8 g; n = 2058), pre-pregnancy activity status (previously inactive, MD - 34.8 g, 95% CI - 69.0, - 0.5 g; n = 2829), and exercise intensity (light to moderate intensity only, MD - 45.5 g, 95% CI - 82.4, - 8.6 g; n = 2651). Fat mass percentage at birth was not altered by prenatal exercise (0.19%, 95% CI - 0.27, 0.65%; n = 130); however, only two studies reported this outcome. Other outcomes were too scarcely reported to be meta-analyzed. CONCLUSIONS Prenatal exercise does not causally impact birth weight, fat mass, or large-for-gestational-age status in a clinically relevant way. Longer follow up of offspring exposed to prenatal exercise is needed along with measures of relevant metabolic variables (e.g., fat and lean mass). PROTOCOL REGISTRATION Protocol registration number: CRD42015029163 .
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Affiliation(s)
- Laetitia Guillemette
- Children’s Hospital Research Institute of Manitoba, John Buhler Research Center, University of Manitoba, 511-715 McDermot Avenue, Winnipeg, MB R3E 3P4 Canada
- Health, Leisure & Human Performance Research Institute, Faculty of Kinesiology & Recreation Management, University of Manitoba, Winnipeg, MB Canada
| | - Jacqueline L. Hay
- Health, Leisure & Human Performance Research Institute, Faculty of Kinesiology & Recreation Management, University of Manitoba, Winnipeg, MB Canada
- Institute of Cardiovascular Sciences, St. Boniface Hospital Research Centre, Winnipeg, MB Canada
| | - D. Scott Kehler
- Health, Leisure & Human Performance Research Institute, Faculty of Kinesiology & Recreation Management, University of Manitoba, Winnipeg, MB Canada
- Institute of Cardiovascular Sciences, St. Boniface Hospital Research Centre, Winnipeg, MB Canada
| | - Naomi C. Hamm
- Health, Leisure & Human Performance Research Institute, Faculty of Kinesiology & Recreation Management, University of Manitoba, Winnipeg, MB Canada
- Institute of Cardiovascular Sciences, St. Boniface Hospital Research Centre, Winnipeg, MB Canada
| | - Christopher Oldfield
- Health, Leisure & Human Performance Research Institute, Faculty of Kinesiology & Recreation Management, University of Manitoba, Winnipeg, MB Canada
| | - Jonathan M. McGavock
- Children’s Hospital Research Institute of Manitoba, John Buhler Research Center, University of Manitoba, 511-715 McDermot Avenue, Winnipeg, MB R3E 3P4 Canada
| | - Todd A. Duhamel
- Children’s Hospital Research Institute of Manitoba, John Buhler Research Center, University of Manitoba, 511-715 McDermot Avenue, Winnipeg, MB R3E 3P4 Canada
- Health, Leisure & Human Performance Research Institute, Faculty of Kinesiology & Recreation Management, University of Manitoba, Winnipeg, MB Canada
- Institute of Cardiovascular Sciences, St. Boniface Hospital Research Centre, Winnipeg, MB Canada
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Goldschmidt AB, Wall MM, Choo THJ, Evans EW, Jelalian E, Larson N, Neumark-Sztainer D. Fifteen-year Weight and Disordered Eating Patterns Among Community-based Adolescents. Am J Prev Med 2018; 54:e21-e29. [PMID: 29132950 PMCID: PMC5736404 DOI: 10.1016/j.amepre.2017.09.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 08/24/2017] [Accepted: 09/07/2017] [Indexed: 11/25/2022]
Abstract
INTRODUCTION The current study aims to characterize weight-change trajectories and their concomitant associations with prospectively measured dieting and other disordered eating behaviors among initially nonoverweight adolescents during the transition to adulthood. METHODS A population-based sample (n=1,091) self-reported their height/weight, dieting, unhealthy weight-control behaviors, and binge eating at 5-year intervals between 1998/1999 and 2013/2014, spanning early/middle adolescence through middle/late young adulthood. Data were analyzed in 2016/2017. RESULTS Groups were categorized as those who were never overweight (n=562), were overweight during at least one measurement point and gained weight more rapidly (n=246) or gradually (n=238) than their peers, or were overweight during at least one measurement point but returned to nonoverweight status by middle/late young adulthood (n=45). Thus, nearly half of adolescents became overweight during the transition to adulthood. Those who were never overweight had the lowest rates of dieting (males: F[9, 1,314]=2.54, p=0.0069, females: F[9, 1,927]=3.02, p=0.0014) and unhealthy weight-control behaviors (males: F[9, 1,313]=3.30, p=0.0005, females: F[9, 1,927]=3.02, p=0.0014), whereas some of these behaviors tended to track with weight gain in rapid and gradual weight gainers. CONCLUSIONS Although adolescents who are already overweight are most frequently targeted for weight-gain prevention and early intervention programs, results suggest that healthy lifestyle interventions could also benefit individuals who may be perceived as low risk for overweight in adulthood by nature of being nonoverweight in adolescence. Dieting and unhealthy weight-control behaviors tended to be associated with weight gain, suggesting that they are ineffective in addition to being potentially harmful.
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Affiliation(s)
- Andrea B Goldschmidt
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, The Miriam Hospital/Weight Control and Diabetes Research Center, Providence, Rhode Island.
| | - Melanie M Wall
- Department of Biostatistics, Columbia University, New York, New York
| | - Tse-Hwei J Choo
- Department of Biostatistics, Columbia University, New York, New York
| | - E Whitney Evans
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, The Miriam Hospital/Weight Control and Diabetes Research Center, Providence, Rhode Island
| | - Elissa Jelalian
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, The Miriam Hospital/Weight Control and Diabetes Research Center, Providence, Rhode Island
| | - Nicole Larson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Dianne Neumark-Sztainer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
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Monjardino T, Rodrigues T, Inskip H, Harvey N, Cooper C, Santos AC, Lucas R. Weight Trajectories from Birth and Bone Mineralization at 7 Years of Age. J Pediatr 2017; 191:117-124.e2. [PMID: 29033242 DOI: 10.1016/j.jpeds.2017.08.033] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 07/03/2017] [Accepted: 08/15/2017] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To assess whether different trajectories of weight gain since birth influence bone mineral content (BMC) and areal bone mineral density (aBMD) at 7 years of age. STUDY DESIGN We studied a subsample of 1889 children from the Generation XXI birth cohort who underwent whole-body dual-energy radiograph absorptiometry. Weight trajectories identified through normal mixture modeling for model-based clustering and labeled "normal weight gain," "weight gain during infancy," "weight gain during childhood," and "persistent weight gain" were used. Differences in subtotal BMC, aBMD, and size-corrected BMC (scBMC) at age 7 years according to weight trajectories were estimated through analysis of covariance. RESULTS Compared with the "normal weight gain" trajectory, children in the remaining trajectories had significantly greater BMC, aBMD, and scBMC at age 7 years, with the strongest associations for "persistent weight gain" (girls [BMC: 674.0 vs 559.8 g, aBMD: 0.677 vs 0.588 g/cm2, scBMC: 640.7 vs 577.4 g], boys [BMC: 689.4 vs 580.8 g, aBMD: 0.682 vs 0.611 g/cm2, scBMC: 633.0 vs 595.6 g]). After adjustment for current weight, and alternatively for fat and lean mass, children with a "weight gain during childhood" trajectory had greater BMC and aBMD than those with a "normal weight gain" trajectory, although significant differences were restricted to girls (BMC: 601.4 vs 589.2 g, aBMD: 0.618 vs 0.609 g/cm2). CONCLUSION Overall, children following a trajectory of persistent weight gain since birth had clearly increased bone mass at 7 years, but weight gain seemed slightly more beneficial when it occurred later rather than on a normal trajectory during the first 7 years of life.
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Affiliation(s)
- Teresa Monjardino
- Instituto de Saúde Pública, Universidade do Porto (Epidemiology Research Unit [EPIUnit], Institute of Public Health of the University of Porto), Porto, Portugal; Department of Public Health, Forensic Sciences and Medical Education, Faculdade de Medicina, Universidade do Porto (University of Porto Medical School), Porto, Portugal.
| | - Teresa Rodrigues
- Instituto de Saúde Pública, Universidade do Porto (Epidemiology Research Unit [EPIUnit], Institute of Public Health of the University of Porto), Porto, Portugal; Department of Public Health, Forensic Sciences and Medical Education, Faculdade de Medicina, Universidade do Porto (University of Porto Medical School), Porto, Portugal; Department of Gynecology and Obstetrics, S. João Hospital Center, Porto, Portugal
| | - Hazel Inskip
- Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
| | - Nicholas Harvey
- Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
| | - Cyrus Cooper
- Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
| | - Ana Cristina Santos
- Instituto de Saúde Pública, Universidade do Porto (Epidemiology Research Unit [EPIUnit], Institute of Public Health of the University of Porto), Porto, Portugal; Department of Public Health, Forensic Sciences and Medical Education, Faculdade de Medicina, Universidade do Porto (University of Porto Medical School), Porto, Portugal
| | - Raquel Lucas
- Instituto de Saúde Pública, Universidade do Porto (Epidemiology Research Unit [EPIUnit], Institute of Public Health of the University of Porto), Porto, Portugal; Department of Public Health, Forensic Sciences and Medical Education, Faculdade de Medicina, Universidade do Porto (University of Porto Medical School), Porto, Portugal
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Georgiopoulos G, Karatzi K, Yannakoulia M, Georgousopoulou E, Efthimiou E, Mareti A, Bakogianni I, Mitrakou A, Papamichael C, Stamatelopoulos K. Eating frequency predicts changes in regional body fat distribution in healthy adults. QJM 2017; 110:729-734. [PMID: 29017004 DOI: 10.1093/qjmed/hcx120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Eating frequency (EF) has been associated with generalized obesity. AIM We aimed to prospectively investigate potential associations of frequency of eating episodes with regional fat layers. DESIGN EF was evaluated at baseline in 115 subjects free of clinically overt cardiovascular disease (54 ± 9.1 years, 70 women) in a prospective, observational study. METHODS Metabolic parameters known to be associated with dietary factors and anthropometric markers including ultrasound assessment of subcutaneous (Smin) and pre-peritoneal (Pmax) fat and their ratio Smin/Pmax (AFI) were evaluated at baseline and at follow-up, 5 years later. RESULTS EF at baseline positively correlated with Pmax, even after adjustment for potential confounders. EF above median was also an independent predictor for Pmax (beta coefficient = -0.192, P = 0.037) and AFI (beta coefficient = 0.199, P = 0.049) at follow up. Multivariable linear mixed models analysis demonstrated that subjects with increased EF presented a lower progression rate of Pmax (beta = -0.452, P = 0.006) and a higher progression rate of AFI (beta = 0.563, P = 0.003) over time, independently of age, sex, progression of BMI, energy intake, smoking and changes in parameters of glucose metabolism. CONCLUSIONS High EF is associated with lower progression rate of pre-peritoneal fat accumulation. Future interventional studies should further investigate the clinical utility of these findings.
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Affiliation(s)
- G Georgiopoulos
- Vascular Laboratory, Department of Clinical Therapeutics, Alexandra University Hospital, 80 V. Sofias str, 11528 Athens, Greece
| | - K Karatzi
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 70 El Venizelou str, 17671 Athens, Greece
| | - M Yannakoulia
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 70 El Venizelou str, 17671 Athens, Greece
| | - E Georgousopoulou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 70 El Venizelou str, 17671 Athens, Greece
| | - E Efthimiou
- Vascular Laboratory, Department of Clinical Therapeutics, Alexandra University Hospital, 80 V. Sofias str, 11528 Athens, Greece
| | - A Mareti
- Vascular Laboratory, Department of Clinical Therapeutics, Alexandra University Hospital, 80 V. Sofias str, 11528 Athens, Greece
| | - I Bakogianni
- Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
| | - A Mitrakou
- Vascular Laboratory, Department of Clinical Therapeutics, Alexandra University Hospital, 80 V. Sofias str, 11528 Athens, Greece
| | - C Papamichael
- Vascular Laboratory, Department of Clinical Therapeutics, Alexandra University Hospital, 80 V. Sofias str, 11528 Athens, Greece
| | - K Stamatelopoulos
- Vascular Laboratory, Department of Clinical Therapeutics, Alexandra University Hospital, 80 V. Sofias str, 11528 Athens, Greece
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Aris IM, Chen LW, Tint MT, Pang WW, Soh SE, Saw SM, Shek LPC, Tan KH, Gluckman PD, Chong YS, Yap F, Godfrey KM, Kramer MS, Lee YS. Body mass index trajectories in the first two years and subsequent childhood cardio-metabolic outcomes: a prospective multi-ethnic Asian cohort study. Sci Rep 2017; 7:8424. [PMID: 28827610 PMCID: PMC5567284 DOI: 10.1038/s41598-017-09046-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Accepted: 07/20/2017] [Indexed: 12/31/2022] Open
Abstract
We investigated body mass index (BMI) trajectories in the first 2 years of life in 1170 children from an Asian mother-offspring cohort in Singapore, and examined their predictors and associations with childhood cardio-metabolic risk measures at 5 years. Latent class growth mixture modelling analyses were performed to identify distinct BMI z-score (BMIz) trajectories. Four trajectories were identified: 73.2%(n = 857) of the children showed a normal BMIz trajectory, 13.2%(n = 155) a stable low-BMIz trajectory, 8.6%(n = 100) a stable high-BMIz trajectory and 5.0%(n = 58) a rapid BMIz gain after 3 months trajectory. Predictors of the stable high-BMIz and rapid BMIz gain trajectories were pre-pregnancy BMI, gestational weight gain, Malay and Indian ethnicity, while predictors of stable low-BMIz trajectory were preterm delivery and Indian ethnicity. At 5 years, children with stable high-BMIz or rapid BMIz gain trajectories had increased waist-to-height ratios [B(95%CI) 0.02(0.01,0.03) and 0.03(0.02,0.04)], sum of skinfolds [0.42(0.19,0.65) and 0.70(0.36,1.03)SD units], fat-mass index [0.97(0.32,1.63)SD units] and risk of obesity [relative risk 3.22(1.73,6.05) and 2.56 (1.19,5.53)], but not higher blood pressure. BMIz trajectories were more predictive of adiposity at 5 years than was BMIz at 2 years. Our findings on BMIz trajectories in the first 2 years suggest important ethnic-specific differences and impacts on later metabolic outcomes.
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Affiliation(s)
- Izzuddin M Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
| | - Ling-Wei Chen
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Mya Thway Tint
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wei Wei Pang
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shu E Soh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Lynette Pei-Chi Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kok-Hian Tan
- Department of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Singapore, Singapore
| | - Michael S Kramer
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Departments of Pediatrics and of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Canada
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
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Péneau S, Giudici KV, Gusto G, Goxe D, Lantieri O, Hercberg S, Rolland-Cachera MF. Growth Trajectories of Body Mass Index during Childhood: Associated Factors and Health Outcome at Adulthood. J Pediatr 2017; 186:64-71.e1. [PMID: 28283258 DOI: 10.1016/j.jpeds.2017.02.010] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Revised: 12/27/2016] [Accepted: 02/03/2017] [Indexed: 01/11/2023]
Abstract
OBJECTIVE To identify body mass index (BMI) trajectories from birth to age 10 years and to assess their association with child and parental characteristics and with adult nutritional status and metabolic risk factors. STUDY DESIGN Retrospective cohort study with 1188 subjects aged 20-60 years. Childhood growth was assessed using measured weight and height data collected retrospectively from health booklets, which also provided information on gestational age, birth weight, and early nutrition. Height, weight, waist circumference, fasting blood glucose, lipids profile, and blood pressure were measured at adulthood. Participants self-reported parental silhouette based on a 9-figural scale. Group-based modeling was applied to identify BMI trajectories. Associations were assessed using ANOVA and multiple logistic regression. RESULTS Five growth trajectories following or crossing BMI percentiles emerged: stable-25th (15.3% of the sample), stable-50th (35.9%), stable-75th (28.0%), ascending-75th (19.2%), and ascending-obesity (1.6%). Overall, associated factors from early life were mother's corpulence (higher in the ascending-obesity group), gestational age (higher in the stable-50th, stable-75th, and in the ascending-obesity groups), and birth weight (higher in the ascending-obesity group) (all P < .05). Childhood trajectories were associated with adult BMI and waist circumference (higher in the stable-75th and in the ascending groups) (all P < .0001). CONCLUSIONS This study shows heterogeneity in patterns of growth trajectories. Specific trajectories were associated with greater BMI and waist circumference during adulthood. Monitoring growth trajectories may improve chronic disease prevention.
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Affiliation(s)
- Sandrine Péneau
- Paris 13 University, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France
| | - Kelly Virecoulon Giudici
- Paris 13 University, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France
| | - Gaëlle Gusto
- Inter-Regional Institute for Health (IRSA), La Riche, France
| | - Didier Goxe
- Inter-Regional Institute for Health (IRSA), La Riche, France
| | | | - Serge Hercberg
- Paris 13 University, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France; Nutritional Monitoring and Epidemiology Team (ESEN), Paris 13 University, Sorbonne Paris Cité, Bobigny, France; Nutritional Monitoring and Epidemiology Team (ESEN), Santé Publique France, Bobigny, France; Department of Public Health, Hôpital Avicenne, Bobigny, France
| | - Marie-Françoise Rolland-Cachera
- Paris 13 University, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France
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Jackson SL, Cunningham SA. The stability of children's weight status over time, and the role of television, physical activity, and diet. Prev Med 2017; 100:229-234. [PMID: 28450122 PMCID: PMC5517688 DOI: 10.1016/j.ypmed.2017.04.026] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 04/19/2017] [Accepted: 04/22/2017] [Indexed: 12/24/2022]
Abstract
Weight-related behaviors such as sedentary activity, physical activity, and diet have been the focus of efforts to prevent and reduce the occurrence of obesity and overweight in children, but few longitudinal studies have examined the effects of weight-related behaviors on changes in weight status over time in children. This study examines the effects of weight-related behaviors on subsequent changes in weight during childhood. We used the Early Childhood Longitudinal Study Kindergarten Cohort (ECLS-K), a nationally representative prospective cohort of children in the United States. Data, including anthropometric measures, were collected six times across 1998-2007 (analytic sample=4938). We employed an autoregressive cross-lagged model in a structural equation model framework to assess the effects of behavioral factors -intake of fruit, vegetables, fast food and sugar-sweetened beverages, television viewing, and physical activity - on weight stability over time. BMI z-scores were highly stable throughout childhood: the standardized parameter estimates of BMI z-scores on subsequent-period BMI z-scores ranged from 0.79 to 0.86. BMI z-scores were least stable between Kindergarten and 1st grade but became highly stable between 3rd and 5th grades. After accounting for prior weight, behavioral factors had little effect on subsequent weight. The most important behavioral factor was TV viewing in the 1st and 3rd grades: an additional hour of daily TV viewing was associated with 0.04 higher BMI z-score. It is important to prevent excessive weight gain early in childhood, as weight patterns are long-lasting; the most important behavioral factor may be limiting children's screen time.
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Affiliation(s)
- Sandra L Jackson
- Nutrition and Health Sciences Program, Graduate Division of Biological and Biomedical Sciences, Emory University, 1518 Clifton Road, Atlanta, GA 30322, USA
| | - Solveig A Cunningham
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, USA.
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43
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Woo JG. Fast, Slow, High, and Low: Infant and Childhood Growth as Predictors of Cardiometabolic Outcomes. J Pediatr 2017; 186:14-16. [PMID: 28396023 DOI: 10.1016/j.jpeds.2017.03.043] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 03/17/2017] [Indexed: 11/29/2022]
Affiliation(s)
- Jessica G Woo
- Division of Biostatistics and Epidemiology Cincinnati Children's Hospital Medical Center; Department of Pediatrics University of Cincinnati College of Medicine Cincinnati, Ohio.
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44
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Giudici KV, Rolland-Cachera MF, Gusto G, Goxe D, Lantieri O, Hercberg S, Péneau S. Body mass index growth trajectories associated with the different parameters of the metabolic syndrome at adulthood. Int J Obes (Lond) 2017; 41:1518-1525. [PMID: 28529329 DOI: 10.1038/ijo.2017.119] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 04/14/2017] [Accepted: 05/03/2017] [Indexed: 12/24/2022]
Abstract
BACKGROUND Growth trajectories have shown to be related to obesity and metabolic risks in later life, however body mass index (BMI) trajectories according to the presence or absence of metabolic syndrome (MS) and its parameters in adulthood are scarce in literature. OBJECTIVES To investigate BMI trajectories during childhood in relation to MS and its parameters in adult age. METHODS A total of 1919 subjects (43.4% male, 20-60 y) participated in this retrospective cohort study. Height, weight, waist circumference (WC), blood glucose, high-density lipoprotein cholesterol, triglycerides and blood pressure were measured at adulthood. Childhood weight and height were collected retrospectively from health booklets. Differences between BMI growth curves of subjects with and without MS were assessed using mixed models for correlated data. RESULTS BMI trajectories differed according to the presence or not of MS at adulthood, from the age of 4 years forward (all P<0.05), to the presence or not of hypertriglyceridemia from 1.5 years forward (all P<0.05), and to WC>94 cm (men) / 80 cm (women) compared to lower WC, at all ages (all P<0.05). CONCLUSIONS BMI growth curves differ according to the presence or not of MS at adulthood, but differences only appeared after the age of 4 years. Changes vary according to the MS parameters considered. Deviation of the MS-associated BMI curve from normal pattern could correspond to alteration in body composition. These differences in BMI trajectories during childhood support the theory of an early origin of the MS, justifying early prevention.
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Affiliation(s)
- K V Giudici
- Paris 13 University, Nutritional Epidemiology Research Team, French National Institute of Health and Medical Research (Inserm) U1153, French National Institute for Agricultural Research (Inra) U1125, French National Conservatory of Arts and Crafts (CNAM), Sorbonne Paris Cité University, Bobigny, France
| | - M-F Rolland-Cachera
- Paris 13 University, Nutritional Epidemiology Research Team, French National Institute of Health and Medical Research (Inserm) U1153, French National Institute for Agricultural Research (Inra) U1125, French National Conservatory of Arts and Crafts (CNAM), Sorbonne Paris Cité University, Bobigny, France
| | - G Gusto
- Institut inter-Régional pour la Santé (IRSA), La Riche, France
| | - D Goxe
- Institut inter-Régional pour la Santé (IRSA), La Riche, France
| | - O Lantieri
- Institut inter-Régional pour la Santé (IRSA), La Riche, France
| | - S Hercberg
- Paris 13 University, Nutritional Epidemiology Research Team, French National Institute of Health and Medical Research (Inserm) U1153, French National Institute for Agricultural Research (Inra) U1125, French National Conservatory of Arts and Crafts (CNAM), Sorbonne Paris Cité University, Bobigny, France.,Université Paris 13, Sorbonne Paris Cité, USEN (Unité de surveillance et d'épidémiologie nutritionnelle), Institut de Veille Sanitaire (InVS), Bobigny, France.,Département de Santé Publique, Hôpital Avicenne, Bobigny, France
| | - S Péneau
- Paris 13 University, Nutritional Epidemiology Research Team, French National Institute of Health and Medical Research (Inserm) U1153, French National Institute for Agricultural Research (Inra) U1125, French National Conservatory of Arts and Crafts (CNAM), Sorbonne Paris Cité University, Bobigny, France
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45
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Lynch BA, Rutten LJF, Ebbert JO, Kumar S, Yawn BP, Jacobson D, Sauver JS. Development of Distinct Body Mass Index Trajectories Among Children Before Age 5 Years: A Population-Based Study. J Prim Care Community Health 2017; 8:278-284. [PMID: 28434273 PMCID: PMC5653452 DOI: 10.1177/2150131917704326] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
The prevalence of childhood obesity has increased over the past 3 decades. This study was designed to understand how childhood body mass index (BMI) influences later risk of obesity. We calculated BMIs for children residing in Olmsted County, Minnesota, between January 1, 2005 and December 31, 2012 using medical records data. We defined homogenous BMI trajectory clusters using a nonparametric hill-climbing algorithm. Overall, 16,538 (47%) children had >3 weight assessments at least 1 year apart and were included in the analyses. Within the 8-year follow-up period, children who were younger than 2 years and overweight had a 3- fold increase of obesity (adjusted hazard ratio [HR] = 3.24; 95% confidence interval [CI] = 2.69-3.89) and those aged 5 years and overweight had a 10-fold increased risk of obesity (adjusted HR = 9.97, 95% CI = 8.55-11.62). Three distinct BMI trajectories could be distinguished prior to 5 years of age. The risk of developing obesity in those who are overweight increased dramatically with increasing age. Interventions to prevent obesity need to occur prior to school age to prevent children from entering unhealthy BMI trajectories.
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46
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Luo Y, McCullough LE, Tzeng JY, Darrah T, Vengosh A, Maguire RL, Maity A, Samuel-Hodge C, Murphy SK, Mendez MA, Hoyo C. Maternal blood cadmium, lead and arsenic levels, nutrient combinations, and offspring birthweight. BMC Public Health 2017; 17:354. [PMID: 28438148 PMCID: PMC5402649 DOI: 10.1186/s12889-017-4225-8] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Accepted: 04/05/2017] [Indexed: 12/24/2022] Open
Abstract
Background Cadmium (Cd), lead (Pb) and arsenic (As) are common environmental contaminants that have been associated with lower birthweight. Although some essential metals may mitigate exposure, data are inconsistent. This study sought to evaluate the relationship between toxic metals, nutrient combinations and birthweight among 275 mother-child pairs. Methods Non-essential metals, Cd, Pb, As, and essential metals, iron (Fe), zinc (Zn), selenium (Se), copper (Cu), calcium (Ca), magnesium (Mg), and manganese (Mn) were measured in maternal whole blood obtained during the first trimester using inductively coupled plasma mass spectrometry. Folate concentrations were measured by microbial assay. Birthweight was obtained from medical records. We used quantile regression to evaluate the association between toxic metals and nutrients due to their underlying wedge-shaped relationship. Ordinary linear regression was used to evaluate associations between birth weight and toxic metals. Results After multivariate adjustment, the negative association between Pb or Cd and a combination of Fe, Se, Ca and folate was robust, persistent and dose-dependent (p < 0.05). However, a combination of Zn, Cu, Mn and Mg was positively associated with Pb and Cd levels. While prenatal blood Cd and Pb were also associated with lower birthweight. Fe, Se, Ca and folate did not modify these associations. Conclusion Small sample size and cross-sectional design notwithstanding, the robust and persistent negative associations between some, but not all, nutrient combinations with these ubiquitous environmental contaminants suggest that only some recommended nutrient combinations may mitigate toxic metal exposure in chronically exposed populations. Larger longitudinal studies are required to confirm these findings. Electronic supplementary material The online version of this article (doi:10.1186/s12889-017-4225-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yiwen Luo
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA.,Department of Statistics, North Carolina State University, Raleigh, NC, USA
| | | | - Jung-Ying Tzeng
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA. .,Department of Statistics, North Carolina State University, Raleigh, NC, USA. .,Department of Statistics, National Cheng-Kung University, Tainan, Taiwan.
| | - Thomas Darrah
- School of Earth Sciences, The Ohio State University, Columbus, OH, USA
| | - Avner Vengosh
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, 27533, USA
| | - Arnab Maity
- Department of Statistics, North Carolina State University, Raleigh, NC, USA
| | | | | | | | - Cathrine Hoyo
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, 27533, USA.
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47
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Paediatric obesity and cardiovascular risk factors - A life course approach. Porto Biomed J 2017; 2:102-110. [PMID: 32258598 DOI: 10.1016/j.pbj.2017.02.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 02/09/2017] [Indexed: 12/20/2022] Open
Abstract
Childhood obesity is increasingly prevalent worldwide, and Portugal presents one of the highest prevalence of obesity and overweight among the European countries. Since childhood obesity is a risk factor for obesity in adulthood, the high prevalence of overweight and obesity in paediatric age currently experienced is expected to lead to even higher prevalence of obesity in adulthood in future decades. It is well known that the prenatal period and infancy are critical or sensitive periods for obesity development, but a growing body of evidence also suggests a relevant role of childhood and adolescence. The exposure to some factors during these periods or specific time frames within these periods may confer additional risk for obesity development. Paediatric obesity is associated with cardiovascular risk factors both in the short or medium-term, but also in the long term, conferring additional risk for future adult health. However, it is not clear whether the relation between paediatric obesity and adult health is independent of adult adiposity. There is a moderate to high tracking of obesity from paediatric age into adulthood, which may partially explain the association with adult outcomes. Therefore, there has been increasing interest on life course frameworks to study the effect of the dynamics of adiposity across paediatric age on adult outcomes, namely on the cardiovascular disease risk. The use of this approach to study determinants and consequences of obesity raises methodological challenges to summarize the exposure to adiposity/obesity across the life span, being the identification of growth trajectories and the quantification of the duration of obesity among the most used methods. However, further investigation is still needed to explore the best methods to summarize exposure to adiposity and its variation across time.
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Thompson AL, Koehler E, Herring AH, Paynter L, Du S, Zhang B, Popkin B, Gordon-Larsen P. Weight Gain Trajectories Associated With Elevated C-Reactive Protein Levels in Chinese Adults. J Am Heart Assoc 2016; 5:e003262. [PMID: 27638785 PMCID: PMC5079008 DOI: 10.1161/jaha.116.003262] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 07/14/2016] [Indexed: 12/31/2022]
Abstract
BACKGROUND Recent longitudinal work suggests that weight change is an important risk factor for inflammation across the full range of BMI. However, few studies have examined whether the risk of inflammation differs by patterns of weight gain over time. Using latent class trajectory analysis, we test whether patterns of weight gain are associated with elevated high-sensitivity C-reactive protein (hs-CRP 2-10 mg/L). METHODS AND RESULTS Data come from China Health and Nutrition Survey (CHNS) participants (n=5536), aged 18 at baseline to 66 years in 2009, with measured weight over 18 years. Latent class trajectory analysis was used to identify weight-change trajectories in 6 age and sex strata. Multivariable general linear mixed-effects models fit with a logit link were used to assess the risk of elevated hs-CRP across weight trajectory classes. Models were fit within age and sex strata, controlling for baseline weight, adult height, and smoking, and included random intercepts to account for community-level correlation. Steeper weight-gain trajectories were associated with greater risk of elevated hs-CRP compared to more moderate weight-gain trajectories in men and women. Initially high weight gain followed by weight loss was associated with lower risk of elevated hs-CRP in women aged 18 to 40. CONCLUSIONS Latent class trajectory analysis identified heterogeneity in adult weight change associated with differential risk of inflammation independently of baseline weight and smoking. These results suggest that trajectories of weight gain are an important clinical concern and may identify those at risk for inflammation and the development of cardiometabolic disease.
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Affiliation(s)
- Amanda L Thompson
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC Department of Anthropology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Elizabeth Koehler
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Amy H Herring
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Lauren Paynter
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Shufa Du
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Bing Zhang
- National Institute for Nutrition and Health, China Center for Disease Control, Beijing, China
| | - Barry Popkin
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
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49
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Demmer DL, Beilin LJ, Hands B, Burrows S, Pennell CE, Lye SJ, Mountain JA, Mori TA. Dual Energy X-Ray Absorptiometry Compared with Anthropometry in Relation to Cardio-Metabolic Risk Factors in a Young Adult Population: Is the 'Gold Standard' Tarnished? PLoS One 2016; 11:e0162164. [PMID: 27622523 PMCID: PMC5021262 DOI: 10.1371/journal.pone.0162164] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Accepted: 07/30/2016] [Indexed: 11/19/2022] Open
Abstract
Background and Aims Assessment of adiposity using dual energy x-ray absorptiometry (DXA) has been considered more advantageous in comparison to anthropometry for predicting cardio-metabolic risk in the older population, by virtue of its ability to distinguish total and regional fat. Nonetheless, there is increasing uncertainty regarding the relative superiority of DXA and little comparative data exist in young adults. This study aimed to identify which measure of adiposity determined by either DXA or anthropometry is optimal within a range of cardio-metabolic risk factors in young adults. Methods and Results 1138 adults aged 20 years were assessed by DXA and standard anthropometry from the Western Australian Pregnancy Cohort (Raine) Study. Cross-sectional linear regression analyses were performed. Waist to height ratio was superior to any DXA measure with HDL-C. BMI was the superior model in relation to blood pressure than any DXA measure. Midriff fat mass (DXA) and waist circumference were comparable in relation to glucose. For all the other cardio-metabolic variables, anthropometric and DXA measures were comparable. DXA midriff fat mass compared with BMI or waist hip ratio was the superior measure for triglycerides, insulin and HOMA-IR. Conclusion Although midriff fat mass (measured by DXA) was the superior measure with insulin sensitivity and triglycerides, the anthropometric measures were better or equal with various DXA measures for majority of the cardio-metabolic risk factors. Our findings suggest, clinical anthropometry is generally as useful as DXA in the evaluation of the individual cardio-metabolic risk factors in young adults.
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Affiliation(s)
- Denise L. Demmer
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, The University of Western Australia, Perth, Australia
- * E-mail:
| | - Lawrence J. Beilin
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, The University of Western Australia, Perth, Australia
| | - Beth Hands
- Institute for Health Research, The University of Notre Dame Australia, Perth, Australia
| | - Sally Burrows
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, The University of Western Australia, Perth, Australia
| | - Craig E. Pennell
- School of Women’s and Infants Health, The University of Western Australia, Perth, Australia
| | - Stephen J. Lye
- Lunenfeld-Tanenbaum Research Institute, University of Toronto, Toronto, Canada
| | - Jennifer A. Mountain
- School of Population Health, The University of Western Australia, Perth, Australia
| | - Trevor A. Mori
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, The University of Western Australia, Perth, Australia
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50
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Muhardi L, Abrahamse-Berkeveld M, Acton D, van der Beek EM. Differences in the anthropometry of Asian children and its role in metabolic health in later life: A narrative review. Obes Res Clin Pract 2016; 10 Suppl 1:S3-S16. [PMID: 27389317 DOI: 10.1016/j.orcp.2016.04.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 04/01/2016] [Accepted: 04/06/2016] [Indexed: 02/05/2023]
Abstract
BACKGROUND The increasing incidence of childhood obesity in Asia could be a reflection of early life programming in which environmental/nutritional challenges during pregnancy and first two years of life (the so-called first 1000 days) influence later health. OBJECTIVE OF NARRATIVE REVIEW To assess differences/similarities of anthropometric measures in early life and their influences on metabolic health risk in later life among children in Asia. METHODS Literature search for publication in English using selected key words from Medline (PubMed), Scopus, Science Direct and Google Scholar published from 1994 to October 2014. Some comparisons with Caucasian setting were made when relevant. RESULTS From 152 publications selected for this narrative review, differences in foetal growth and birth weight were deducted between Asian and Caucasian children. Infants in India and Hong Kong had increased fat mass at birth and early infancy as compared to those from other parts of the world. Pre- and during pregnancy conditions influenced birth weight; feeding practices and gender influenced post-natal growth and body composition development. High and low birth weights followed by rapid postnatal growth were linked to increased risks of obesity, insulin resistance and high blood pressure in later life. CONCLUSION Foetal and postnatal growth trajectories are different between countries within and outside Asia. Extremes in birth weight followed by rapid postnatal growth were linked to increased risks of metabolic health of children in this region. As there is limited evidence in Asia, it is important to conduct thorough investigations by using longitudinal studies on early life programming.
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Affiliation(s)
- Leilani Muhardi
- Nutricia Research - Danone Nutricia Early Life Nutrition, Matrix Building #05-01b, 30 Biopolis Street, Singapore 138667, Singapore.
| | | | - Dennis Acton
- Nutricia Research - Danone Early Life Nutrition, Uppsalalaan 12, 3584 CT Utrecht, The Netherlands
| | - Eline M van der Beek
- Nutricia Research - Danone Nutricia Early Life Nutrition, Matrix Building #05-01b, 30 Biopolis Street, Singapore 138667, Singapore; Nutricia Research - Danone Early Life Nutrition, Uppsalalaan 12, 3584 CT Utrecht, The Netherlands
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