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Pimenta IT, Griep RH, de Matos SMA, de Fatima Haueisen Sander Diniz M, Moreno AB, de Jesus Mendes da Fonseca M. Body shape trajectories are associated with birth weight, body mass index and sociodemographic conditions in participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): a multiple correspondence analysis. BMC Public Health 2023; 23:1857. [PMID: 37749586 PMCID: PMC10518926 DOI: 10.1186/s12889-023-16779-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 09/18/2023] [Indexed: 09/27/2023] Open
Abstract
BACKGROUND Evaluating lifelong weight trajectories is challenging due to the high costs of studies that follow individuals from childhood to adulthood. The use of silhouette scales has been a new approach to assess the body shape trajectory across life as a proxy for body weight trajectory. Depending on body shape trajectories, individuals may be more prone to develop diseases in adulthood. Therefore, identifying factors related to them is essential for public health. This study aimed to evaluate body shape trajectories across the lifespan and to verify associations between them, birth weight, body mass index, and sociodemographic conditions in a Brazilian cohort. METHODS This is a cross-sectional analysis conducted with 14,014 participants of first follow-up data collection of Longitudinal Study of Adult Health (ELSA-Brasil). ELSA-Brasil is a multicentric prospective cohort study initiated in 2008 with civil servants of six public institutions in the Northeast, South and Southeast regions of Brazil. We applied a clustering method to longitudinal data to identify body shape trajectories from 5 to 40 years of age and assessed the associations between these trajectories and birth weight, body mass index and sociodemographic conditions (race, education, maternal education and monthly per capita family income) using multiple correspondence analysis. RESULTS We found five body shape trajectories for women and three for men. Low birth weight was associated with a slight to moderate increase in shape. High birth weight was associated with maintaining large body size in both sexes and markedly increased body shape in women. Higher sociodemographic status and white race were associated with marked increases in body shape in men and maintenance of medium body shape in women. CONCLUSIONS The study shows that variables related to worse lifetime weight status (evaluated by anthropometry), such as presence of obesity, are also associated with worse body shape trajectories, as assessed with silhouette scales. Our results suggest that body shape trajectories are a good indicator of body weight trajectories and may be used when cohort studies are not possible.
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Affiliation(s)
| | - Rosane Harter Griep
- Laboratory of Health and Environment Education, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | | | | | - Arlinda B Moreno
- National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
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Gallagher C, Pirkis J, Lambert KA, Perret JL, Ali GB, Lodge CJ, Bowatte G, Hamilton GS, Matheson MC, Bui DS, Abramson MJ, Walters EH, Dharmage SC, Erbas B. Life course BMI trajectories from childhood to mid-adulthood are differentially associated with anxiety and depression outcomes in middle age. Int J Obes (Lond) 2023:10.1038/s41366-023-01312-6. [PMID: 37161067 PMCID: PMC10359183 DOI: 10.1038/s41366-023-01312-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 04/12/2023] [Accepted: 04/12/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND/OBJECTIVE Obesity is a risk factor for multimorbidity, including depression and possibly anxiety. However, it is currently unclear how patterns of change in BMI over the life course differentially influence the magnitude in risk of depression and anxiety in mid-adulthood. We aimed to examine associations between BMI trajectories from childhood to adulthood and the risk of depression and anxiety in middle age. METHODS In the Tasmanian Longitudinal Health Study (n = 2416), five distinct BMI trajectories were previously defined from age 5 to 45 years using group-based modelling. At age 53, current depression and anxiety were assessed using the Patient Health Questionnaire and the Generalized Anxiety Disorder scale, respectively. Logistic regression models adjusted for potential confounders estimated associations between BMI trajectories and these outcomes. RESULTS Those belonging to the child average-increasing (OR = 2.24; 95%CI: 1.24, 4.06) and persistently high (OR = 2.64; 1.26, 5.52) trajectories were more likely to have depression in middle age, compared to the persistently average trajectory. However, the odds of experiencing greater severity of depressive symptoms was highest in the child average-increasing group (OR = 2.36; 1.59, 3.49). Despite finding no evidence of association between BMI trajectories and current anxiety, we observed less severe symptoms in the child high-decreasing trajectory (OR = 0.68; 0.51, 0.91). CONCLUSION We found an increased risk of depression in middle age among individuals with a persistently high BMI from childhood to mid-adulthood and individuals with an average BMI in childhood which then increased consistently throughout adulthood. Encouragingly, resolving childhood adiposity by adulthood was associated with lesser anxiety symptoms. Taken together, these findings highlight the need to target mental health screening and treatment towards high-risk BMI trajectory groups and the importance of early interventions to prevent and resolve excess weight.
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Affiliation(s)
- Claire Gallagher
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Jane Pirkis
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Katrina A Lambert
- School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
| | - Jennifer L Perret
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Gulshan B Ali
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Caroline J Lodge
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Gayan Bowatte
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Department of Basic Sciences, Faculty of Allied Health Sciences, University of Peradeniya, Peradeniya, Sri Lanka
| | - Garun S Hamilton
- Monash Lung, Sleep, Allergy & Immunology, Monash Health, Melbourne, VIC, Australia
- School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
| | - Melanie C Matheson
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Population Health Solutions, Telstra Health, Melbourne, VIC, Australia
| | - Dinh S Bui
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Michael J Abramson
- School of Public Health & Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - E Haydn Walters
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- School of Medicine, University of Tasmania, Hobart, VIC, Australia
| | - Shyamali C Dharmage
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.
| | - Bircan Erbas
- School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
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Liu Z, Sun L, Zhang Y, Wang J, Sun F, Zhang Z, Sun G, Sun L, Yang R. The prevalence of underweight and obesity in Chinese children and adolescents with major depressive disorder and relationship with suicidal ideation and attempted suicide. Front Psychiatry 2023; 14:1130437. [PMID: 37215666 PMCID: PMC10196048 DOI: 10.3389/fpsyt.2023.1130437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 04/17/2023] [Indexed: 05/24/2023] Open
Abstract
Background The high rates of obesity and suicide have become serious public health problems worldwide, especially in children and adolescents with major depressive disorder (MDD). This research aimed to explore the rates of underweight, overweight or obesity, suicidal ideation and attempted suicide in hospitalized children and adolescents with MDD. Then, we analyzed the correlation between underweight or obesity and suicidal ideation and attempted suicide, and finally obtained the independent influencing factors of underweight or obesity. Methods A total of 757 subjects in the Third People's Hospital of Fuyang from January 2020 to December 2021 were enrolled in this study. According to the underweight, overweight and obesity screening table for school-age children and adolescents published and implemented by the health industry standard of China, all subjects were divided into different body mass index (BMI) categories. We measured fasting blood glucose (FBG) and lipid levels in all subjects and assessed suicidal ideation, attempted suicide, and the severity of depressive symptoms. The socio-demographic and clinical data were collected and analyzed by SPSS 22.0. Results The rates of underweight, overweight, obesity, suicidal ideation and attempted suicide were 8.2% (62/757), 15.5% (117/757), 10.4% (79/757), 17.2% (130/757), and 9.9% (75/757), respectively. Correlation analysis indicated that BMIs level was positively correlated with age, age of first hospitalization, total duration of disease, number of hospitalizations, FBG, TG (triglyceride), TC (total cholesterol), LDL (low density lipoprotein), and negatively correlated with HDL (high density lipoprotein). Binary logistic regression analysis showed that male and high level of HDL were risk factors for MDD inpatients with underweight, while high level of TG was a protective factor. Meanwhile, higher levels of FBG, TG and CGI-S were risk factors and suicidal ideation and high dose of antidepressant drugs were protective factors for obesity in children and adolescents with MDD. Conclusion The prevalence of underweight, obesity, suicidal ideation and attempted suicide were high in children and adolescents with MDD, and severe depressive symptoms are independent risk factors for obesity, while suicidal ideation and high dose of antidepressants may be protective factors for obesity.
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Affiliation(s)
- Zhiwei Liu
- Department of Psychiatry, The Third People’s Hospital of Fuyang, Fuyang, China
- Department of Psychiatry, Fuyang Mental Health Center, Fuyang, China
| | - Liang Sun
- Department of Psychiatry, The Third People’s Hospital of Fuyang, Fuyang, China
- Department of Psychiatry, Fuyang Mental Health Center, Fuyang, China
| | - Yulong Zhang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Juan Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
- Department of Psychiatry, The Fourth People’s Hospital of Chengdu, Chengdu, China
| | - Feng Sun
- Department of Psychiatry, The Third People’s Hospital of Fuyang, Fuyang, China
- Department of Psychiatry, Fuyang Mental Health Center, Fuyang, China
| | - Zhaokun Zhang
- Department of Psychiatry, The Third People’s Hospital of Fuyang, Fuyang, China
- Department of Psychiatry, Fuyang Mental Health Center, Fuyang, China
| | - Guangying Sun
- Department of Psychiatry, The Third People’s Hospital of Fuyang, Fuyang, China
- Department of Psychiatry, Fuyang Mental Health Center, Fuyang, China
| | - Longlong Sun
- Department of Psychiatry, The Third People’s Hospital of Fuyang, Fuyang, China
- Department of Psychiatry, Fuyang Mental Health Center, Fuyang, China
| | - Rongchun Yang
- Department of Psychiatry, The Third People’s Hospital of Fuyang, Fuyang, China
- Department of Psychiatry, Fuyang Mental Health Center, Fuyang, China
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Gallagher C, Waidyatillake N, Pirkis J, Lambert K, Cassim R, Dharmage S, Erbas B. The effects of weight change from childhood to adulthood on depression and anxiety risk in adulthood: A systematic review. Obes Rev 2023:e13566. [PMID: 37062534 DOI: 10.1111/obr.13566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 03/08/2023] [Accepted: 03/16/2023] [Indexed: 04/18/2023]
Abstract
This review aimed to evaluate the effects of weight change from childhood to adulthood on depression and/or anxiety risk in adulthood. We systematically searched MEDLINE, PsychINFO, Embase, Cumulative Index to Nursing and Allied Health Literature, and Scopus for longitudinal studies assessing changes in weight status between childhood (≤18 years) and adulthood (≥19 years) in association with outcomes of depression and/or anxiety in adulthood. Study quality was assessed using a modified version of the Newcastle-Ottawa Scale, and data were narratively synthesized. Seventeen articles met our inclusion criteria: 13 evaluated outcomes of depression, one evaluated outcomes of anxiety, and five evaluated composite measures of depression and anxiety. Evidence was most consistent regarding outcomes of depression, with most finding that persistent and/or increasing adiposity from childhood to adulthood is associated with an increased risk of depression, particularly in women. However, heterogeneity and limitations in the evidence preclude definitive conclusions and inconsistent findings were reported in the few studies that assessed anxiety and composite outcomes. Overall, it appears that early intervention to both prevent or resolve excess weight may aid in reducing the burden of depression, along with mental health support targeting adolescents with persistent and/or increasing adiposity. However, further high-quality research is needed to address the methodological limitations discussed.
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Affiliation(s)
- Claire Gallagher
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Nilakshi Waidyatillake
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Department of Medical Education, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jane Pirkis
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Katrina Lambert
- School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Raisa Cassim
- Department of Health, Tasmanian Government, Hobart, Tasmania, Australia
| | - Shyamali Dharmage
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Bircan Erbas
- School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
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Liao W, Liu X, Kang N, Niu M, Song Y, Wang L, Wei D, Liu P, Sun C, Mao Z, Hou J, Wang C, Li Y. The Reliability and Validity of Recalled Body Shape and the Responsiveness of Obesity Classification Based on Recalled Body Shape Among the Chinese Rural Population. Front Public Health 2022; 10:792394. [PMID: 35592083 PMCID: PMC9110696 DOI: 10.3389/fpubh.2022.792394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background The reliability and validity of recalled body shape were unknown in China. This study was conducted to examine the reliability and validity of recalled body shape as well as the responsiveness of obesity classification by recalled body shape among the Chinese rural population. Methods A total of 166 people from the Henan rural cohort were enrolled. The Spearman's correlation coefficient (SCC), intraclass correlation coefficient (ICC), and Cronbach's α were calculated to assess the reliability and validity of recalled body shape. Additionally, the receiver operator characteristic curve (ROC) was performed to assess the responsiveness. Results The SCC between the twice recalled body shape ranged from 0.383 to 0.578, and the ICC ranged from 0.357 to 0.615. Besides, the Cronbach's α of the recalled body shape questionnaire was 0.845. At the age of 20–70, the SCC between recalled body shape and actual body mass index (BMI) and waist circumference (WC) ranged from 0.563 to 0.699 and 0.409 to 0.661, respectively. Furthermore, above the age of 20, the area under the curve (AUC) of classifying general obesity and abdominal obesity by recalled body shape ranged from 0.833 to 0.960 and 0.686 to 0.870, respectively. Conclusion The results indicated that recalled body shape had moderate reliability, validity, and discriminative degree for earlier obesity among the Chinese rural population.
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Affiliation(s)
- Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Miaomiao Niu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yu Song
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Lulu Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Dandan Wei
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Pengling Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chunyang Sun
- Department of Preventive Medicine, School of Medicine, Henan University of Chinese Medicine, Zhengzhou, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yuqian Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.,Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, China
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Malhotra S, Sivasubramanian R, Singhal V. Adult obesity and its complications: a pediatric disease? Curr Opin Endocrinol Diabetes Obes 2021; 28:46-54. [PMID: 33229926 DOI: 10.1097/med.0000000000000592] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW Approximately 2.6 million people die each year secondary to obesity related diseases. The risk of developing serious comorbidities depends on the age of onset as well as duration of obesity. In this review, we discuss trends in BMI trajectories from early childhood to adulthood with latest evidence on comorbidities in adulthood stemming from pediatric obesity and benefits of early intervention and treatment in childhood obesity. RECENT FINDINGS Childhood obesity poses high risk of metabolic and cardiovascular disorders like type 2 diabetes, hypertension, atherosclerosis, coronary artery disease, and some types of cancer in adulthood. Early life obesity also increases risks of developing menstrual irregularities, infertility, and pregnancy complications. Several grave concerns including malignancies, autoimmune disorders, higher asthma morbidity, and psychiatric implications are found to be associated with childhood obesity. Disease outcomes can be transgenerational, causing suboptimal health in children of mothers with obesity. Encouragingly, many risks associated with childhood obesity can be reduced, delayed, or even reversed by early resolution of obesity necessitating close BMI monitoring and treatment early. SUMMARY Early identification and aggressive management of childhood obesity is critical in prevention of debilitating comorbidities in adult life. VIDEO ABSTRACT http://links.lww.com/COE/A19.
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Affiliation(s)
- Sonali Malhotra
- Division of Pediatric Endocrinology, Massachusetts General Hospital
- MGH Weight Center, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Vibha Singhal
- Division of Pediatric Endocrinology, Massachusetts General Hospital
- MGH Weight Center, Harvard Medical School, Boston, Massachusetts, USA
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De Rubeis V, Andreacchi AT, Sharpe I, Griffith LE, Keown‐Stoneman CDG, Anderson LN. Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review. Obes Sci Pract 2020. [PMCID: PMC7909593 DOI: 10.1002/osp4.456] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Background Group‐based trajectory modeling has been applied to identify distinct trajectories of growth across the life course. Objectives of this study were to describe the methodological approaches for group‐based modeling of growth across the life course and to summarize outcomes across studies. Methods A scoping review with a systematic search of Medline, EMBASE, CINAL, and Web of Science was conducted. Studies that used a group‐based procedure to identify trajectories on any statistical software were included. Data were extracted on trajectory methodology, measures of growth, and association with outcomes. Results A total of 59 studies were included, and most were published from 2013 to 2020. Body mass index was the most common measure of growth (n = 43). The median number of identified trajectories was 4 (range: 2–9). PROC TRAJ in SAS was used by 33 studies, other procedures used include TRAJ in STATA, lcmm in R, and Mplus. Most studies evaluated associations between growth trajectories and chronic disease outcomes (n = 22). Conclusions Group‐based trajectory modeling of growth in adults is emerging in epidemiologic research, with four distinct trajectories observed somewhat consistently from all studies. Understanding life course growth trajectories may provide further insight for population health interventions.
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Affiliation(s)
- Vanessa De Rubeis
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario Canada
| | - Alessandra T. Andreacchi
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario Canada
| | - Isobel Sharpe
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario Canada
| | - Lauren E. Griffith
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario Canada
| | - Charles D. G. Keown‐Stoneman
- Applied Health Research Centre Li Ka Shing Knowledge Institute St. Michael's Hospital University of Toronto Toronto Ontario Canada
- Division of Biostatistics Dalla Lana School of Public Health University of Toronto Toronto Ontario Canada
| | - Laura N. Anderson
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario Canada
- Child Health Evaluative Sciences The Hospital for Sick Children Research Institute Toronto Ontario Canada
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