Associations of Longitudinal BMI-Percentile Classification Patterns in Early Childhood with Neighborhood-Level Social Determinants of Health
Open accessAbstract
Background: Understanding social determinants of health (SDOH) that may be risk factors for childhood obesity is important to developing targeted interventions to prevent obesity. Prior studies have examined these risk factors, mostly examining obesity as a static outcome variable. Methods: We extracted electronic health record data from 2012 to 2019 for a children’s health system that includes two hospitals and wide network of outpatient clinics spanning five East Coast states in the United States. Using data-driven and algorithmic clustering, we have identified distinct BMI-percentile classification groups in children from 0 to 7 years of age. We used two separate algorithmic clustering methods to confirm the robustness of the identified clusters. We used multinomial logistic regression to examine the associations between clusters and 27 neighborhood SDOHs and compared positive and negative SDOH characteristics separately. Results: From the cohort of 36,910 children, five BMI-percentile classification groups emerged: always having obesity ( n = 429; 1.16%), overweight most of the time ( n = 15,006; 40.65%), increasing BMI percentile ( n = 9,060; 24.54%), decreasing BMI percentile ( n = 5,058; 13.70%), and always normal weight ( n = 7,357; 19.89%). Compared to children in the decreasing BMI percentile and always normal weight groups, children in the other three groups were more likely to live in neighborhoods with higher poverty, unemployment, crowded households, single-parent households, and lower preschool enrollment. Conclusions: Neighborhood-level SDOH factors have significant associations with children’s BMI-percentile classification and changes in classification. This highlights the need to develop tailored obesity interventions for different groups to address the barriers faced by communities that can impact the weight and health of children living within them.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Neighborhood SDOH shapes childhood obesity trajectories.
“Five BMI trajectories identified; children in higher‐risk groups significantly more likely in high‐poverty, high‐unemployment neighborhoods; neighborhood SDOH shapes childhood obesity trajectories”
From Artificial Intelligence and Machine Learning for Identifying Social Determinants of Health in Low‐Income Populations Within United States Health Systems: A Scoping Review (2026) · cites this paper as [24]
The Conclusion reports five distinct early-childhood BMI-percentile subgroups, and the Discussion says all three higher-risk groups were more likely to live in neighborhoods with higher poverty and unemployment. The paper studies associations, however, so the statement that neighborhood SDOH “shapes” trajectories goes beyond its evidence if read as a causal claim. (LLM, conf=0.85)
Experimental — accuracy not yet measuredFive BMI trajectories were identified.
“Five BMI trajectories identified; children in higher‐risk groups significantly more likely in high‐poverty, high‐unemployment neighborhoods; neighborhood SDOH shapes childhood obesity trajectories”
Children in higher-risk BMI trajectory groups were significantly more likely to be in high-poverty, high-unemployment neighborhoods.
“Five BMI trajectories identified; children in higher‐risk groups significantly more likely in high‐poverty, high‐unemployment neighborhoods; neighborhood SDOH shapes childhood obesity trajectories”
Unsupervised clustering identified patient subphenotypes linked to SDOH exposure.
“Unsupervised clustering, including hierarchical clustering [20] and trajectory‐based algorithmic grouping [24], identified patient subphenotypes linked to SDOH exposure.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
(2010) · Intellectum (Universidad de La Sabana) · doi:10.1111/j.1467- · Cited by 16,131 · see citing works
WHO Child Growth Standards based on length/height, weight and age
de Onís, M. (2006) · Acta Paediatrica · doi:10.1111/j.1651-2227.2006.tb02378.x · Cited by 3,991 · see citing works
An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling
Jung, T., & Wickrama, K. A. S. (2007) · Social and Personality Psychology Compass · doi:10.1111/j.1751-9004.2007.00054.x · Cited by 3,228 · see citing works
Muthén, B., & Muthén, L. K. (2000) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2000.tb02070.x · Cited by 3,161 · see citing works
Analyzing developmental trajectories: A semiparametric, group-based approach.
Nagin, D. S. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.2.139 · Cited by 2,346 · see citing works
Childhood overweight: a contextual model and recommendations for future research
Davison, K. K., & Birch, L. (2001) · Obesity Reviews · doi:10.1046/j.1467-789x.2001.00036.x · Cited by 1,431 · see citing works
Han, J. C., Lawlor, D. A., & Kimm, S. Y. S. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60171-7 · Cited by 1,318 · see citing works
Analyzing developmental trajectories of distinct but related behaviors: A group-based method.
Nagin, D. S., & Tremblay, R. E. (2001) · Psychological Methods · doi:10.1037/1082-989x.6.1.18 · Cited by 1,283 · see citing works
imputeTS: Time Series Missing Value Imputation in R
Möritz, S., & Bartz–Beielstein, T. (2017) · The R Journal · doi:10.32614/rj-2017-009 · Cited by 936 · see citing works
Risk Factors for Childhood Obesity in the First 1,000 Days
Baidal, J. W., Locks, L. M., Cheng, E. R., Blake‐Lamb, T., Perkins, M. E., & Taveras, E. M. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.11.012 · Cited by 895 · see citing works
The role of socioeconomic status gradients in explaining differences in US adolescents' health.
Goodman, E. (1999) · American Journal of Public Health · doi:10.2105/ajph.89.10.1522 · Cited by 506 · see citing works
Ogden, C. L., Fryar, C. D., Hales, C. M., Carroll, M. D., Aoki, Y., & Freedman, D. S. (2018) · JAMA · doi:10.1001/jama.2018.5158 · Cited by 459 · see citing works
Neighborhood Socioeconomic Disadvantage and Access to Health Care
Kirby, J. B., & Kaneda, T. (2005) · Journal of Health and Social Behavior · doi:10.1177/002214650504600103 · Cited by 445 · see citing works
The Relationship of Ethnicity, Socioeconomic Factors, and Overweight in U.S. Adolescents
Gordon‐Larsen, P., Adair, L. S., & Popkin, B. M. (2003) · Obesity Research · doi:10.1038/oby.2003.20 · Cited by 434 · see citing works
Hales, C. M., Fryar, C. D., Carroll, M. D., Freedman, D. S., Aoki, Y., & Ogden, C. L. (2018) · JAMA · doi:10.1001/jama.2018.7270 · Cited by 430 · see citing works
Rising Social Inequalities in US Childhood Obesity, 2003–2007
Singh, G. K., Siahpush, M., & Kogan, M. D. (2009) · Annals of Epidemiology · doi:10.1016/j.annepidem.2009.09.008 · Cited by 399 · see citing works
Neighborhood Disorder, Subjective Alienation, and Distress
Ross, C. E., & Mirowsky, J. (2009) · Journal of Health and Social Behavior · doi:10.1177/002214650905000104 · Cited by 392 · see citing works
Environmental influences on childhood obesity: Ethnic and cultural influences in context
Kumanyika, S. (2007) · Physiology & Behavior · doi:10.1016/j.physbeh.2007.11.019 · Cited by 367 · see citing works
The Public Health Impact of Socioeconomic Status on Adolescent Depression and Obesity
Goodman, E., Slap, G. B., & Huang, B. (2003) · American Journal of Public Health · doi:10.2105/ajph.93.11.1844 · Cited by 355 · see citing works
Psychological correlates of childhood obesity
Puder, J. J., & Munsch, S. (2010) · International Journal of Obesity · doi:10.1038/ijo.2010.238 · Cited by 306 · see citing works
Household, Parent, and Child Contributions to Childhood Obesity*
Gable, S., & LUTZ, S. F. (2000) · Family Relations · doi:10.1111/j.1741-3729.2000.00293.x · Cited by 305 · see citing works
Trends in the Association of Poverty With Overweight Among US Adolescents, 1971-2004
Miech, R. A., Kumanyika, S., Stettler, N., Link, B. G., Phelan, J. C., & Chang, V. W. (2006) · JAMA · doi:10.1001/jama.295.20.2385 · Cited by 291 · see citing works
Developmental Trajectories of Overweight During Childhood: Role of Early Life Factors
Li, C., Goran, M. I., Kaur, H., Nollen, N. L., & Ahluwalia, J. S. (2007) · Obesity · doi:10.1038/oby.2007.585 · Cited by 285 · see citing works
Linking psychosocial stressors and childhood obesity
Gundersen, C., Mahatmya, D., Garasky, S., & Lohman, B. J. (2010) · Obesity Reviews · doi:10.1111/j.1467-789x.2010.00813.x · Cited by 284 · see citing works
Influence of Multiple Social Risks on Children's Health
Larson, K., Russ, S. A., Crall, J. J., & Halfon, N. (2008) · PEDIATRICS · doi:10.1542/peds.2007-0447 · Cited by 257 · see citing works
A Framework for Increasing Equity Impact in Obesity Prevention
Kumanyika, S. (2019) · American Journal of Public Health · doi:10.2105/ajph.2019.305221 · Cited by 232 · see citing works
PEDSnet: a National Pediatric Learning Health System
Forrest, C. B., Margolis, P. A., Bailey, L. C., Marsolo, K. A., Beccaro, M. A. D., Finkelstein, J. A., Milov, D. E., Vieland, V. J., Wolf, B. A., Yu, F., et al. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2014-002743 · Cited by 229 · see citing works
Biological, environmental, and social influences on childhood obesity
Campbell, M. K. (2015) · Pediatric Research · doi:10.1038/pr.2015.208 · Cited by 226 · see citing works
Neighborhoods and Health: What Do We Know? What Should We Do?
Roux, A. V. D. (2016) · American Journal of Public Health · doi:10.2105/ajph.2016.303064 · Cited by 221 · see citing works
Child obesity associated with social disadvantage of children’s neighborhoods
Grow, H. M., Cook, A. J., Arterburn, D. E., Saelens, B. E., Drewnowski, A., & Lozano, P. (2010) · Social Science & Medicine · doi:10.1016/j.socscimed.2010.04.018 · Cited by 215 · see citing works
Racial and Ethnic Disparities in Early Childhood Obesity
Isong, I. A., Rao, S. R., Bind, M., Avendaño, M., Kawachi, I. I., & Richmond, T. K. (2017) · PEDIATRICS · doi:10.1542/peds.2017-0865 · Cited by 205 · see citing works
Wen, X., KLEINMAN, K. P., Gillman, M. W., Rifas‐Shiman, S. L., & Taveras, E. M. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-38 · Cited by 183 · see citing works
Ziyab, A. H., Karmaus, W., Kurukulaaratchy, R. J., Zhang, H., & Arshad, S. H. (2014) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2014-203808 · Cited by 169 · see citing works
Lifecourse Approach to Racial/Ethnic Disparities in Childhood Obesity
Dixon, B., Peña, M.-M., & Taveras, E. M. (2012) · Advances in Nutrition · doi:10.3945/an.111.000919 · Cited by 165 · see citing works
Prevalence of physical activity and obesity in US counties, 2001–2011: a road map for action
Dwyer‐Lindgren, L., Freedman, G., Engell, R. E., Fleming, T., Lim, S. S., Murray, C. J. L., & Mokdad, A. H. (2013) · Population Health Metrics · doi:10.1186/1478-7954-11-7 · Cited by 161 · see citing works
Developmental Trajectories of Body Mass Index in Early Childhood and Their Risk Factors
Pryor, L. (2011) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2011.153 · Cited by 159 · see citing works
Childhood Cumulative Risk and Obesity: The Mediating Role of Self-Regulatory Ability
Evans, G. W., Fuller-Rowell, T. E., & Doan, S. N. (2012) · Pediatrics · doi:10.1542/peds.2010-3647 · Cited by 158 · see citing works
Mohammed, S. H., Habtewold, T., Birhanu, M. M., Sissay, T. A., Tegegne, B., Abuzerr, S., & Esmaillzadeh, A. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-028238 · Cited by 148 · see citing works
Socioeconomic Status and Other Factors Associated with Childhood Obesity
Williams, A. S., Ge, B., Petroski, G. F., Kruse, R. L., McElroy, J. A., & Koopman, R. J. (2018) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2018.04.170261 · Cited by 144 · see citing works
Rossen, L. M. (2014) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2012-202245 · Cited by 140 · see citing works
Group‐based trajectory modelling for BMI trajectories in childhood: A systematic review
Mattsson, M., Maher, G. M., Boland, F., Fitzgerald, T., Murray, D. M., & Biesma, R. G. (2019) · Obesity Reviews · doi:10.1111/obr.12842 · Cited by 124 · see citing works
Perceived Neighborhood Social Cohesion and Preventive Healthcare Use
Kim, E. S., & Kawachi, I. I. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2017.01.007 · Cited by 122 · see citing works
Parenthood—A Contributing Factor to Childhood Obesity
Huffman, F. G., Kanikireddy, S., & Patel, M. H. (2010) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph7072800 · Cited by 117 · see citing works
Regional disparities in obesity prevalence in the United States: A spatial regime analysis
Myers, C. A., Slack, T., Martin, C. K., Broyles, S. T., & Heymsfield, S. B. (2014) · Obesity · doi:10.1002/oby.20963 · Cited by 113 · see citing works
Eagle, T., Sheetz, A. H., Gurm, R., Woodward, A. C., Kline-Rogers, E. M., Leibowitz, R., DuRussel‐Weston, J., Palma-Davis, L., Aaronson, S., Fitzgerald, C., et al. (2012) · American Heart Journal · doi:10.1016/j.ahj.2012.02.025 · Cited by 113 · see citing works
Maharana, A., & Nsoesie, E. O. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.1535 · Cited by 106 · see citing works
Giles, L. C., Whitrow, M. J., Davies, M. J., Davies, C. E., Rumbold, A. R., & Moore, V. (2015) · International Journal of Obesity · doi:10.1038/ijo.2015.42 · Cited by 105 · see citing works
Daniels, K. M., Schinasi, L. H., Auchincloss, A. H., Forrest, C. B., & Roux, A. V. D. (2021) · Preventive Medicine · doi:10.1016/j.ypmed.2021.106790 · Cited by 92 · see citing works
Infant feeding and growth trajectory patterns in childhood and body composition in young adulthood
Rzehak, P., Oddy, W. H., Mearin, M. L., Grote, V., Mori, T. A., Szajewska, H., Shamir, R., Koletzko, S., Weber, M., Beilin, L. J., et al. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.140962 · Cited by 90 · see citing works
Local Food Environments: They're All Stocked Differently
Freedman, D. A. (2009) · American Journal of Community Psychology · doi:10.1007/s10464-009-9272-6 · Cited by 90 · see citing works
Nau, C., Schwartz, B. S., Bandeen‐Roche, K., Liu, A., Pollak, J., Hirsch, A. G., Bailey-Davis, L. D., & Glass, T. A. (2014) · Obesity · doi:10.1002/oby.20903 · Cited by 87 · see citing works
Péneau, S., Giudici, K., Gusto, G., Goxe, D., Lantieri, O., Hercberg, S., & Rolland-Cachera, M. (2017) · Jornal de Pediatria · doi:10.1016/j.jpeds.2017.02.010 · Cited by 85 · see citing works
Trajectories of Overweight Among US School Children: A Focus on Social and Economic Characteristics
Balistreri, K. S., & Hook, J. V. (2010) · Maternal and Child Health Journal · doi:10.1007/s10995-010-0622-7 · Cited by 79 · see citing works
Social Determinants of Overweight and Obesity Among Children in the United States
Yusuf, Z. I., Dongarwar, D., Yusuf, R. A., Bell, M., Harris, T. B., & Salihu, H. M. (2019) · International Journal of Maternal and Child Health and AIDS · doi:10.21106/ijma.337 · Cited by 78 · see citing works
Fetal programming of children's obesity risk
Stout, S. A., Espel, E. V., Sandman, C. A., Glynn, L. M., & Davis, E. P. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.12.009 · Cited by 77 · see citing works
Powell, L. M., Wada, R., Krauss, R. C., & Wang, Y. (2012) · Social Science & Medicine · doi:10.1016/j.socscimed.2012.03.019 · Cited by 76 · see citing works
Body Mass Index (BMI) Trajectories from Birth to 11.5 Years: Relation to Early Life Food Intake
Garden, F. L., Marks, G. B., Simpson, J. M., & Webb, K. (2012) · Nutrients · doi:10.3390/nu4101382 · Cited by 70 · see citing works
Iguacel, I., Gasch‐Gallén, À., Ayala‐Marín, A. M., Miguel‐Etayo, P. D., & Moreno, L. A. (2020) · International Journal of Obesity · doi:10.1038/s41366-020-00697-y · Cited by 67 · see citing works
Jansen, P. W., Mensah, F. K., Nicholson, J. M., & Wake, M. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069676 · Cited by 66 · see citing works
Koning, M., Hoekstra, T., de Jong, E., Visscher, T. L. S., Seidell, J. C., & Renders, C. M. (2016) · BMC Public Health · doi:10.1186/s12889-016-3757-7 · Cited by 60 · see citing works
Obesity status trajectory groups among elementary school children
Chen, T. A., Baranowski, T., Moreno, J. P., O’Connor, T. M., Hughes, S. O., Baranowski, J. C., Woehler, D., Kimbro, R. T., & Johnston, C. A. (2016) · BMC Public Health · doi:10.1186/s12889-016-3159-x · Cited by 57 · see citing works
Latham, K., & Williams, M. M. (2015) · Journal of Aging and Health · doi:10.1177/0898264315584328 · Cited by 53 · see citing works
Baidal, J. W., & Taveras, E. M. (2012) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/2013.jamapediatrics.358 · Cited by 51 · see citing works
Schroeder, K., McCormick, R., Pérez, A., & Lipman, T. H. (2018) · Obesity Reviews · doi:10.1111/obr.12714 · Cited by 50 · see citing works
Obesity and the Natural Environment Across US Counties
von Hippel, P. T., & Benson, R. (2014) · American Journal of Public Health · doi:10.2105/ajph.2013.301838 · Cited by 49 · see citing works
Age at adiposity rebound and the relevance for obesity: a systematic review and meta-analysis
Zhou, J., Zhang, F., Qin, X., Li, P., Teng, Y., Zhang, S., Tao, F., & Huang, K. (2022) · International Journal of Obesity · doi:10.1038/s41366-022-01120-4 · Cited by 47 · see citing works
Montazeri, P., Vrijheid, M., Martinez, D. R., Basterrechea, M., Fernández‐Somoano, A., Guxens, M., Íñiguez, C., Lertxundi, A., Murcia, M., Tardón, A., et al. (2018) · Obesity · doi:10.1002/oby.22095 · Cited by 43 · see citing works
Tylavsky, F. A., Ferrara, A. M., Catellier, D., Oken, E., Li, X., Law, A., Dabelea, D., Rundle, A., Gilbert‐Diamond, D., Hivert, M., et al. (2019) · International Journal of Obesity · doi:10.1038/s41366-019-0470-5 · Cited by 43 · see citing works
Cleveland, J. C., Espinoza, J., Holzhausen, E. A., Goran, M. I., & Alderete, T. L. (2023) · BMC Public Health · doi:10.1186/s12889-022-14868-1 · Cited by 39 · see citing works
Using patient management as a surrogate for patient health outcomes in diagnostic test evaluation
Staub, L., Lord, S. J., Simes, R. J., Dyer, S. M., Houssami, N., Chen, R. Y. M., & Irwig, L. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-12 · Cited by 38 · see citing works
Infant BMI trajectories are associated with young adult body composition
Slining, M. M., Herring, A. H., Popkin, B. M., Mayer‐Davis, E. J., & Adair, L. S. (2012) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174412000554 · Cited by 37 · see citing works
Characteristics of Children 2 to 5 Years of Age With Severe Obesity
Tester, J. M., Phan, T.-L. T., Tucker, J. M., Leung, C. W., Gillette, M. L. D., Sweeney, B. R., Kirk, S., Tindall, A., Olivo‐Marston, S., & Eneli, I. (2018) · PEDIATRICS · doi:10.1542/peds.2017-3228 · Cited by 37 · see citing works
Self-citationBody mass index trajectories during infancy and pediatric obesity at 6 years
Liu, J. X., Liu, J., Frongillo, E. A., Boghossian, N. S., Cai, B., & Hazlett, L. J. (2017) · Annals of Epidemiology · doi:10.1016/j.annepidem.2017.10.008 · Cited by 35 · see citing works
Booth, J. M., Teixeira, S. N., Zuberi, A., & Wallace, J. M. (2017) · Social Science Research · doi:10.1016/j.ssresearch.2017.10.002 · Cited by 34 · see citing works
The Built Environment and Childhood Obesity in Durham, North Carolina
Miranda, M. L., Edwards, S. E., Anthopolos, R., Dolinsky, D. H., & Kemper, A. R. (2012) · Clinical Pediatrics · doi:10.1177/0009922812446010 · Cited by 30 · see citing works
Anderson, L. N., Fatima, T., Shah, B., Smith, B. T., Fuller, A. E., Borkhoff, C. M., Keown‐Stoneman, C. D. G., Maguire, J. L., & Birken, C. S. (2021) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2021-216455 · Cited by 29 · see citing works
dos Santos, C. S., Picoito, J., Nunes, C., & Loureiro, I. (2020) · Frontiers in Pediatrics · doi:10.3389/fped.2020.00417 · Cited by 27 · see citing works
Kwon, S., Janz, K. F., Letuchy, E. M., Burns, T. L., & Levy, S. M. (2016) · Obesity · doi:10.1002/oby.21673 · Cited by 26 · see citing works
Carroll‐Scott, A., Gilstad‐Hayden, K., Rosenthal, L., Eldahan, A. I., McCaslin, C., Peters, S. M., & Ickovics, J. R. (2015) · American Journal of Public Health · doi:10.2105/ajph.2015.302882 · Cited by 24 · see citing works
Brochier, A., Messmer, E., Wexler, M. G., Rogers, S. R., Cottrell, E., Tripodis, Y., & Garg, A. (2023) · BMC Pediatrics · doi:10.1186/s12887-023-03894-6 · Cited by 20 · see citing works
Longitudinal associations of neighborhood environment features with pediatric body mass index
Daniels, K., Lê‐Scherban, F., Auchincloss, A. H., Moore, K., Melly, S. J., Razzaghi, H., Forrest, C. B., & Roux, A. V. D. (2021) · Health & Place · doi:10.1016/j.healthplace.2021.102656 · Cited by 20 · see citing works
Self-citationEarly Exposure to Cumulative Social Risk and Trajectories of Body Mass Index in Childhood
Liu, R., Shelton, R. C., Eldred-Skemp, N., Goldsmith, J., & Suglia, S. F. (2018) · Childhood Obesity · doi:10.1089/chi.2018.0116 · Cited by 19 · see citing works
Jansen, P. W., Mensah, F. K., Nicholson, J. M., & Wake, M. A. (2013) · PLoS ONE · doi:10.1371/annotation/f7e5e1f3-77f6-4c56-b0ba-53b54a86df14 · Cited by 17 · see citing works
Freedman, D. S., Davies, A. J. G., Kompaniyets, L., Lange, S. J., Goodman, A. B., Phan, T.-L. T., Rao, S., Eneli, I., & Forrest, C. B. (2021) · Obesity · doi:10.1002/oby.23315 · Cited by 17 · see citing works
Self-citationHawkins, S. S., Gillman, M. W., Rifas‐Shiman, S. L., KLEINMAN, K. P., Mariotti, M., & Taveras, E. M. (2016) · BMC Pediatrics · doi:10.1186/s12887-016-0567-0 · Cited by 16 · see citing works
Predictors of Favorable Growth Patterns During the Obesity Epidemic Among US School Children
Hernandez, R. G., Marcell, A. V., Garcia, J. T., Amankwah, E. K., & Cheng, T. L. (2015) · Clinical Pediatrics · doi:10.1177/0009922815570579 · Cited by 15 · see citing works
A trajectory analysis of body mass index for Finnish children
Nummi, T., Hakanen, T., Lipiäinen, L., Harjunmaa, U., Salo, M. K., Saha, M., & Vuorela, N. (2014) · Journal of Applied Statistics · doi:10.1080/02664763.2013.872232 · Cited by 15 · see citing works
Skelton, J. A., Palakshappa, D., Moore, J. B., Irby, M. B., Montez, K. G., & Rhodes, S. D. (2019) · Journal of Clinical and Translational Science · doi:10.1017/cts.2019.447 · Cited by 14 · see citing works
Examining School and Neighborhood Effects of Socioeconomic Status on Childhood Obesity in the U.S.
Vazquez, C. E., McBride, M. J., Hess, K. E., Cubbin, C., Bearman, S. K., & Calzada, E. J. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19105831 · Cited by 13 · see citing works
Opportunities to Address Obesity Disparities Among High-Risk Latino Children and Adolescents
Soltero, E. G., O’Connor, T. M., Thompson, D., & Shaibi, G. Q. (2021) · Current Obesity Reports · doi:10.1007/s13679-021-00445-x · Cited by 12 · see citing works
Cadzow, R. B., Chambers, M. K., & Sandell, A. M. D. (2015) · Journal of Community Health · doi:10.1007/s10900-015-9989-0 · Cited by 11 · see citing works
Body Mass Index Trajectories in the First 5 Years and Associated Antenatal Factors
Mattsson, M., Murray, D. M., Hawkes, C. P., Kiely, M. E., Chaoimh, C. N., McCarthy, F. P., Biesma, R. G., & Boland, F. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.622381 · Cited by 11 · see citing works
Social Determinants of Health and Body Mass Index in American Indian/Alaska Native Children
Fyfe‐Johnson, A. L., Reid, M. M., Jiang, L., Chang, J. J., Huyser, K. R., Hiratsuka, V. Y., Johnson-Jennings, M., Conway, C., Goins, R. T., Sinclair, K., et al. (2022) · Childhood Obesity · doi:10.1089/chi.2022.0012 · Cited by 10 · see citing works
Peyer, K. L., Welk, G. J., Bailey-Davis, L. D., & Chen, S. (2016) · BMC Public Health · doi:10.1186/s12889-016-3091-0 · Cited by 9 · see citing works
Subtyping patients with chronic disease using longitudinal BMI patterns
Mottalib, M. M., Jones‐Smith, J. C., Sheridan, B., & Beheshti, R. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3237753 · Cited by 9 · see citing works
Self-citationEarly childhood growth trajectories in a Medicaid population
Khalsa, A. S., Li, R., Rausch, J. R., Klebanoff, M. A., Ingol, T. T., Boone, K. M., & Keim, S. A. (2022) · Pediatric Obesity · doi:10.1111/ijpo.12918 · Cited by 6 · see citing works
Hearst, M. O., Martin, L., Rafdal, B. H., Robinson, R., & McConnell, S. R. (2012) · Health Education Journal · doi:10.1177/0017896912437553 · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 8
- Izzuddin M Aris, Sheryl L Rifas-Shiman, Ling-Jun Li, Seungmi Yang, Mandy B Belfort, Jen- nifer Thompson, Marie-France Hivert, Rita Patel, Richard M Martin, Michael S Kramer, et al. Association of weight for length vs body mass index during the first 2 years of life with cardiometabolic risk in early adolescence. JAMA network open, 1(5):e182460- e182460, 2018.
- Alex Y Chen and José J Escarce. Peer reviewed: Family structure and childhood obesity, early childhood longitudinal study-kindergarten cohort. Preventing chronic disease, 7 (3), 2010.
- Arin M Connell and Alice A Frye. Growth mixture modelling in developmental psychology: Overview and demonstration of heterogeneity in developmental trajectories of adoles- cent antisocial behaviour. Infant and Child Development: An International Journal of Research and Practice, 15(6):609-621, 2006.
- Geoffrey J McLachlan, Sharon X Lee, and Suren I Rathnayake. Finite mixture models. Annual review of statistics and its application, 6:355-378, 2019.
- Andrew A Neath and Joseph E Cavanaugh. The bayesian information criterion: back- ground, derivation, and applications. Wiley Interdisciplinary Reviews: Computational Statistics, 4(2):199-203, 2012.
- Karen L Nylund, Tihomir Asparouhov, and Bengt O Muthén. Deciding on the number of classes in latent class analysis and growth mixture modeling: A monte carlo simulation study. Structural equation modeling: A multidisciplinary Journal, 14(4):535-569, 2007.
- Sani M Roy, Jordan G Spivack, Myles S Faith, Alessandra Chesi, Jonathan A Mitchell, Andrea Kelly, Struan FA Grant, Shana E McCormack, and Babette S Zemel. Infant bmi or weight-for-length and obesity risk in early childhood. Pediatrics, 137(5), 2016.
- Elsie M Taveras, Matthew W Gillman, Ken Kleinman, Janet W Rich-Edwards, and Sheryl L Rifas-Shiman. Racial/ethnic differences in early-life risk factors for childhood obesity. Pediatrics, 125(4):686-695, 2010.
Cited by
Sorted by citations
Reliable prediction of childhood obesity using only routinely collected EHRs may be possible
Gupta, M., Eckrich, D., Bunnell, H. T., Phan, T.-L. T., & Beheshti, R. (2024) · Obesity Pillars · doi:10.1016/j.obpill.2024.100128 · Cited by 10 · see citing works
Self-citationA Scoping Review of the Social Determinants of Pediatric and Adolescent Obesity
Ernest, D. K., Onugha, E. A., Singh, B., Sharma, S. V., & Dave, J. M. (2025) · International Journal of Pediatrics · doi:10.1155/ijpe/8871022 · Cited by 9 · see citing works
Zamanillo‐Campos, R., Colom-Rosselló, M., Rodríguez-Calero, M. Á., Martin, M., Planas, T., Núñez-Jiménez, C., & Ramos, M. (2025) · European Journal of Pediatrics · doi:10.1007/s00431-025-06279-2 · Cited by 4 · see citing works
Mottalib, M. M., Phan, T.-L. T., Bramante, C. T., Chute, C. G., Pyles, L. A., Beheshti, R., & N3C, O. B. O. (2024) · Childhood Obesity · doi:10.1089/chi.2024.0256 · Cited by 1 · see citing works
Self-citationRazzano, A. V. (2026) · Health Science Reports · doi:10.1002/hsr2.73083
Children’s perceptions of the neighbourhood as a social determinant of health – a qualitative study
Chandra, L., Hofmann, L. J., Schulze, Z. J., & Führer, A. (2026) · Wellbeing Space and Society · doi:10.1016/j.wss.2026.100437
Multilevel and mixed-effects models: Enhancing analytical rigour in public health research
Debessa, K. C. (2026) · Journal of Interventional Epidemiology and Public Health · doi:10.37432/jieph-d-26-00137
Gavril, C. O., Negoita, A. I., Giannou, K., & Mantzios, M. (2026) · Nutrition and Health · doi:10.1177/02601060261485043
de Cortázar, A. R. G., Benítez, B. R., Sánchez-Cantalejo, C., & Cabrera‐León, A. (2026) · Revista Española de Salud Pública · doi:10.67113/resp.v100i1.1704
- Authors
- Gupta, M., Phan, T.-L. T., Lê-Scherban, F., Eckrich, D., Bunnell, H. T., & Beheshti, R.
- Affiliations
- Southern Methodist University (US)
- Nemours Children's Health System (US)
- Epidemiology & Biostatistics, and Urban Health Collaborative Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
- University of Delaware (US)
- Venue
- Childhood Obesity
- Publisher
- SAGE Publications
- Published
- 2025-01-01
- Volume
- 21
- Issue
- 1
- Pages
- 65-75
- ISSN
- 2153-2168 (ISSN-L)
- 2153-2176
- PMC
- PMC11807911
- OpenAlex
- W4401871369
- Cited by
- 9
- References
- 97
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 2
- FWCI
- 3.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Childhood Obesity (publishedVersion)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (P20GM103446, U54GM104941, P20GM113125)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Health Professions › Pharmacy › Obesity and Health Practices
- Keywords
- body mass index percentiles, early childhood, neighborhood poverty, household crowding, single-parent families, preschool enrollment, obesity prevention
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
