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State of the Art Review: Poverty and the Developing Brain
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In the United States, >40% of children are either poor or near-poor. As a group, children in poverty are more likely to experience worse health and more developmental delay, lower achievement, and more behavioral and emotional problems than their more advantaged peers; however, there is broad variability in outcomes among children exposed to similar conditions. Building on a robust literature from animal models showing that environmental deprivation or enrichment shapes the brain, there has been increasing interest in understanding how the experience of poverty may shape the brain in humans. In this review, we summarize research on the relationship between socioeconomic status and brain development, focusing on studies published in the last 5 years. Drawing on a conceptual framework informed by animal models, we highlight neural plasticity, epigenetics, material deprivation (eg, cognitive stimulation, nutrient deficiencies), stress (eg, negative parenting behaviors), and environmental toxins as factors that may shape the developing brain. We then summarize the existing evidence for the relationship between child poverty and brain structure and function, focusing on brain areas that support memory, emotion regulation, and higher-order cognitive functioning (ie, hippocampus, amygdala, prefrontal cortex) and regions that support language and literacy (ie, cortical areas of the left hemisphere). We then consider some limitations of the current literature and discuss the implications of neuroscience concepts and methods for interventions in the pediatric medical home.
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“These children also may be more malleable and stand to benefit most-in the context of supportive, enriched environmental supports and interventions”
From Malleability, plasticity, and individuality: How children learn and develop in context1 (2019) · cites this paper as Johnson et al., 2016
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“However, neural plasticity also leaves the brain vulnerable to poverty-related risk factors, which can cause lasting insult to the brain regions that support cognitive skills (Johnson, Riis, and Noble 2016).”
From Early Family Experiences and Neural Activity in Rural Pakistani Children: The Differential Role of Gender (2024) · cites this paper as Johnson, Riis, and Noble 2016
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“The principles of this science are consistent with a range of fields, including research on the differential effects of interventions (Kellam, Koretz, & Mościcki, 1999), the historical and phenomenological factors that affect individual responses to adversities (Spencer, 2007), and the neurobiological factors involved in individual differences in plasticity and susceptibility to environmental”
From Malleability, plasticity, and individuality: How children learn and develop in context1 (2019) · cites this paper as Johnson, Riis, & Noble, 2016
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Socioeconomic disadvantage, brain morphometry, and attentional bias to threat in middle childhood
Dufford, A. J., Bianco, H., & Kim, P. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-00670-3 · Cited by 35
“Our hippocampal findings are consistent with several studies that have reported positive associations between family income and gray matter volume (Johnson et al., 2016).”
Ip, K. I., Sisk, L. M., Horien, C. L., Conley, M. I., Rapuano, K. M., Rosenberg, M. D., Greene, A. S., Scheinost, D., Constable, R. T., Casey, B., et al. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01826 · Cited by 40
“…rs-FC, future studies that incorporate other biological (e.g., cortisol: Theall et al., 2017; brain structures and volumes: Taylor et al., 2020; Johnson et al., 2016; Noble et al., 2015; connectivity within and between networks: Karcher, Michelini, Kotov, & Barch, 2021) or environmental…”
BackgroundResultInfluentialRosen, M. L., Meltzoff, A. N., Sheridan, M. A., & McLaughlin, K. A. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100731 · Cited by 33
Moving into poverty during childhood is associated with later sleep problems.
Sivertsen, B., Bøe, T., Skogen, J., Petrie, K., & Hysing, M. (2017) · Sleep Medicine · doi:10.1016/j.sleep.2017.06.005 · Cited by 35
Wrigglesworth, J., Ryan, J., Vijayakumar, N., & Whittle, S. (2019) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2018.12.012 · Cited by 34
Nieto-Ruíz, A., García-Santos, J. A., Verdejo‐Román, J., Diéguez, E., Sepúlveda-Valbuena, N., Herrmann, F., Cerdó, T., De-Castellar, R., Jiménez, J., García-Bermúdez, M., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.820224 · Cited by 36
Payne-Sturges, D., Cory‐Slechta, D. A., Puett, R. C., Thomas, S. B., Hammond, R. A., & Hovmand, P. S. (2021) · Environmental Health Perspectives · doi:10.1289/ehp7333 · Cited by 43
Jeste, D. V., Malaspina, D., Bagot, K. S., Barch, D. M., Cole, S. W., Dickerson, F., Dilmore, A. H., Ford, C. L., Karcher, N. R., Luby, J. L., et al. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad031 · Cited by 38
Area Deprivation Index as a Surrogate of Resilience in Aging and Dementia
Vassilaki, M. E., Petersen, R. C., & Vemuri, P. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.930415 · Cited by 37
Cattan, S., Fitzsimons, E., Goodman, A., Phimister, A., Ploubidis, G., & Wertz, J. (2022) · Oxford Open Economics · doi:10.1920/re.ifs.2022.0214 · Cited by 33
Morais, R. L. D. S., Magalhães, L. D. C., Nobre, J. N. P., Pinto, P. A. F., Neves, K. D. R., & Carvalho, A. M. (2021) · Infant Behavior and Development · doi:10.1016/j.infbeh.2021.101619 · Cited by 38
Hoyniak, C. P., Whalen, D. J., Luby, J. L., Barch, D. M., Miller, J. P., Zhao, P., Triplett, R. L., Ju, Y. S., Smyser, C. D., Warner, B. B., et al. (2023) · Developmental Science · doi:10.1111/desc.13456 · Cited by 33
“Exposure to poverty in utero has been associated with enduring, negative health and neurodevelopmental outcomes in offspring (Betancourt et al., 2016; Knickmeyer et al., 2016; Gilman et al., 2017; Johnson et al., 2016).”
BackgroundEvans, G. W., Farah, M. J., & Hackman, D. A. (2021) · Developmental Science · doi:10.1111/desc.13084 · Cited by 36
Dufford, A. J., Evans, G. W., Dmitrieva, J., Swain, J. E., Liberzon, I., & Kim, P. (2020) · Human Brain Mapping · doi:10.1002/hbm.25031 · Cited by 30
“Childhood SES is typically measured using family income, parental education, parental occupation, or a combination of these measures (Brito & Noble, 2014; Johnson et al., 2016).”
Socio-demographic, maternal, and child indicators of socioemotional problems in 2-year-old children
Palmer, F. B. S. C., Graff, J. C., Jones, T. L., Murphy, L. E., Keisling, B. L., Whitaker, T. M., Wang, L., & Tylavsky, F. A. (2018) · Medicine · doi:10.1097/md.0000000000011468 · Cited by 40
de Tella, P. C., Piccolo, L. D. R., Rangel, M. L., Rohde, L. A., Polanczyk, G. V., Miguel, E. C., Grisi, S. J. F. E., Fleitlich‐Bilyk, B., & Ferraro, A. A. (2018) · Trends in Psychiatry and Psychotherapy · doi:10.1590/2237-6089-2017-0008 · Cited by 37
Willoughby, M. T., Blair, C., Kuhn, L., & Magnus, B. E. (2018) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2018.01.003 · Cited by 32
“Finally, poverty is associated with poorer performance on EF tasks and negatively affects the neural substrates that support EF task performance (Hackman et al., 2015, Johnson et al., 2016; Raver, Blair, Willoughby, & The Family Life Project Investigators, 2013).”
BackgroundIncome change alters default mode network connectivity for adolescents in poverty
Weissman, D. G., Conger, R. D., Robins, R. W., Hastings, P. D., & Guyer, A. E. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.01.008 · Cited by 45
“Family income during childhood is associated with alterations to brain structure and function in adolescence and adulthood (for comprehensive reviews, see Brito and Noble, 2014; Johnson et al., 2016), but income change has not been examined in relation to the brain.”
Hendry, A. J., Gibson, S. P., Davies, C. E., McGillion, M. L., & Gonzalez‐Gomez, N. (2022) · Infancy · doi:10.1111/infa.12495 · Cited by 40
“The developing human brain is experience-driven; responding rapidly to enriching inputs and to psychological threats (DiPietro, 2000; Johnson et al., 2016; McLaughlin & Gabard-Durnam, 2021).”
BackgroundZiegler, G., Moutoussis, M., Hauser, T. U., Fearon, P. R. M., Bullmore, E. T., Goodyer, I. M., Fonagy, P., Jones, P. B., Lindenberger, U., & Dolan, R. J. (2020) · Human Brain Mapping · doi:10.1002/hbm.25024 · Cited by 47
Ford, C. B., Kim, H. Y., Brown, L. E., Aber, J. L., & Sheridan, M. A. (2019) · Research in Comparative and International Education · doi:10.1177/1745499919829217 · Cited by 35
Traumatic and Adverse Childhood Experiences and Developmental Differences in Psychiatric Risk.
Russell, J. D., Heyn, S. A., Peverill, M., DiMaio, S., & Herringa, R. (2024) · JAMA psychiatry · doi:10.1001/jamapsychiatry.2024.3231 · Cited by 30
Deadly gun violence, neighborhood collective efficacy, and adolescent neurobehavioral outcomes
Gard, A. M., Brooks-Gunn, J., Mclanahan, S., Mitchell, C. M., Monk, C. S., & Hyde, L. (2021) · PNAS Nexus · doi:10.1093/pnasnexus/pgac061 · Cited by 30
“Moreover, the protective neural effects of greater collective efficacy were relatively more robust than the effects of gun violence in that they remained statistically significant after accounting confounded socioeconomic resources (15, 35).”
BackgroundWeis, C., Webb, E. K., Huggins, A. A., Kallenbach, M. D., Miskovich, T. A., Fitzgerald, J. M., Bennett, K. P., Krukowski, J. L., deRoon‐Cassini, T. A., & Larson, C. L. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118076 · Cited by 31
Neural impact of neighborhood socioeconomic disadvantage in traumatically injured adults
Webb, E. K., Tomas, C. W., Huggins, A. A., Fitzgerald, J. M., Bennett, K. P., Bird, C. M., Parisi, E. A., Kallenbach, M., Miskovich, T. A., Krukowski, J. L., et al. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100385 · Cited by 28
Wojciechowski, T. W. (2020) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2020.101716 · Cited by 31
Maximizing research on the adverse effects of child poverty through consensus measures
Pollak, S. D., & Wolfe, B. L. (2020) · Developmental Science · doi:10.1111/desc.12946 · Cited by 36
“…and their families (Brody et al., 2017; Brito & Noble, 2014; Dreyer, Chung, Szilagyi, & Wong, 2016; Evans, 2016; Hair, Hanson, Wolfe, & Pollak, 2015; Jensen, Berens, & Nelson, 2017; Johnson et al., 2016; Krishnadas et al., 2013; Lawson, Duda, Avants, Wu, & Farah, 2013; Lipina & Segretin, 2015).”
Norbom, L. B., Hanson, J. L., van der Meer, D., Ferschmann, L., Røysamb, E., von Soest, T., Andreassen, O. A., Agartz, I., Westlye, L. T., & Tamnes, C. K. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101132 · Cited by 26
“It is therefore vital to study environmental factors and experiences that, in complex interplay with genetic factors, influence brain development (Johnson et al., 2016).”
BackgroundZiegler, G., Moutoussis, M., Hauser, T., Fearon, P., Bullmore, E., Goodyer, I., Fonagy, P., Jones, P., Lindenberger, U., & Dolan, R. (2019) · bioRxiv · doi:10.1101/589713 · Cited by 28
“Lastly, we found no significant correlations between SED and global morphometric measures reported in large published studies (Johnson et al., 2016) (Figure S5).”
Income, Family Context, and Self-Regulation in 5-Year-Old Children
Li, M., Riis, J. L., Ghazarian, S. R., & Johnson, S. B. (2017) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000000380 · Cited by 40
Self-citationSonu, S. C., Marvin, D., & Moore, C. E. (2021) · Journal of Child & Adolescent Trauma · doi:10.1007/s40653-021-00363-z · Cited by 39
“Further, minorities are disproportionately overrepresented in neighborhoods of concentrated poverty, which is highly detrimental to overall health status (Aber et al., 1997; Brody et al., 2014; Giovanelli et al., 2016; Johnson et al., 2016) and is associated with decreased access to health-promoting resources such as…”
BackgroundDarcey, V. L., McQuaid, G. A., Fishbein, D. H., & VanMeter, J. W. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.01012 · Cited by 24
Tabacchi, G., Battaglia, G., Alesi, M., Paoli, A., Palma, A., & Bellafiore, M. (2019) · Public Health Nutrition · doi:10.1017/s1368980019002404 · Cited by 30
“…raising children in ‘ enriched environments ’ induces better learning and memory and greater capacity for plasticity and behavioural adaptation (47) ; similarly, children raised in environments where both cognitive and motor skills are enhanced can have better chances of developing FL and…”
BackgroundRose, E. J., Picci, G., & Fishbein, D. H. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00399 · Cited by 33
Stressful life events and accelerated biological aging over time in youths
Sumner, J. A., Gao, X., Gambazza, S., Dye, C. K., Colich, N. L., Baccarelli, A., Uddin, M., & McLaughlin, K. A. (2023) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2023.106058 · Cited by 31
Lurie, L. A., Hangen, E. J., Rosen, M. L., Crosnoe, R. L., & McLaughlin, K. (2022) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2022.105672 · Cited by 26
Peristeri, E., Silleresi, S., & Tsimpli, I. M. (2022) · Autism · doi:10.1177/13623613221075097 · Cited by 46
“In addition to language as a marker that defines autistic subtypes, SES is a critical factor that has been reported to impact cognitive functioning in monolingual neurotypical children (e.g. Hart & Risley, 1995; Johnson et al., 2016) and autistic children (Olson et al.”
BackgroundMiller, A. L., Stein, S. F., Sokol, R. L., Varisco, R., Trout, P., Julian, M. M., Ribaudo, J., Kay, J. B., Pilkauskas, N., Gardner‐Neblett, N., et al. (2022) · Infant Mental Health Journal · doi:10.1002/imhj.21996 · Cited by 27
Hardi, F. A., Goetschius, L. G., Peckins, M. K., Jeanne Brooks-gunn, B., McLanahan, S., McLoyd, V. C., Lopez‐Duran, N. L., Mitchell, C. M., Hyde, L. W., & Monk, C. S. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01801 · Cited by 27
Race, Ethnicity, Family Socioeconomic Status, and Children’s Hippocampus Volume
Assari, S. (2020) · Research in Health Science · doi:10.22158/rhs.v5n4p25 · Cited by 28
“…stress, trauma, and SS all influence hippocampus function and size (Barch et al., 2016; Calem, Bromis, McGuire, Morgan, & Kempton, 2017; Hanson et al., 2011; Jenkins et al., 2020; Johnson et al., 2016; Luby et al., 2013; McLean et al., 2012; K. G. Noble et al., 2015; Y. Wang et al., 2016).”
BackgroundFerguson, K. T., & Evans, G. (2019) · Volume 1 · doi:10.1037/0000099-009 · Cited by 24
Michael, C., Tillem, S., Sripada, C., Burt, S. A., Klump, K. L., & Hyde, L. W. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101316 · Cited by 30
Poverty, Cortical Structure, and Psychopathologic Characteristics in Adolescence
Kim, H., McLaughlin, K., Chibnik, L. B., Koenen, K., & Tiemeier, H. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.44049 · Cited by 25
Poverty and Puberty: A Neurocognitive Study of Inhibitory Control in the Transition to Adolescence
Deater-Deckard, K. D., Li, M., Lee, J., King‐Casas, B., & Kim‐Spoon, J. (2019) · Psychological Science · doi:10.1177/0956797619863780 · Cited by 30
ElHassan, N. O., Bai, S., Gibson, N., Holland, G., Robbins, J. M., & Kaiser, J. R. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198083 · Cited by 25
Bromberger, J., Schott, L. L., Matthews, K., Kravitz, H., Harlow, S., & Montez, J. (2017) · Archives of Women's Mental Health · doi:10.1007/s00737-017-0747-4 · Cited by 23
“Likewise, childhood SES is a multidimensional construct and thus would not be associated in a linear fashion with one pathway (Johnson et al. 2016).”
BackgroundEarly child development programmes: further evidence for action.
Black, M., & Hurley, K. (2016) · Lancet Global Health · doi:10.1016/s2214-109x(16)30149-8 · Cited by 23
Neighborhood Socioeconomic Deprivation and Health Care Utilization of Medically Complex Children
Thomson, J. E., Butts, B., Camara, S., Rasnick, E., Brokamp, C., Heyd, C., Steuart, R. L., Callahan, S., Taylor, S. C., & Beck, A. F. (2022) · PEDIATRICS · doi:10.1542/peds.2021-052592 · Cited by 24
Yamaoka, Y., Isumi, A., Doi, S. K., Ochi, M., & Fujiwara, T. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182211821 · Cited by 20
“A number of studies have reported pervasive adverse effects of poverty on children’s health [2], brain development [3,4], and educational outcomes [5].”
BackgroundDignity neuroscience: universal rights are rooted in human brain science
White, T. L., & Gonsalves, M. A. (2021) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14670 · Cited by 31
Maternal behaviors mediate the relationship between socioeconomic status and joint attention
Koşkulu‐Sancar, S., Küntay, A. C., & Uzundağ, B. A. (2021) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2021.101291 · Cited by 31
Turesky, T. K., Shama, T., Kakon, S. H., Haque, R., Islam, N., Someshwar, A., Gagoski, B. A., Petri, W. A., Nelson, C. A., & Gaab, N. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.101029 · Cited by 19
“2020), as low SES can mean insufficient funds for reading and other educational material (Johnson et al. 2016).”
Far and wide: Associations between childhood socio-economic status and brain connectomics
Johnson, A., Bathelt, J., Akarca, D., Crickmore, G., & Astle, D. E. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100888 · Cited by 29
McLachlan, K., Zhou, D., Little, G. E., Rasmussen, C., Pei, J. R., Andrew, G., Reynolds, J. N., & Beaulieu, C. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00223 · Cited by 24
“Ultimately this has been associated with key structural and functional changes in the brain, as well as observed neurocognitive and academic outcomes (see reviews by Brito and Noble, 2014; Johnson et al., 2016).”
BackgroundSwartz, J. R., Knodt, A. R., Radtke, S. R., & Hariri, A. R. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.12.019 · Cited by 21
Kutlesic, V., Isaacs, M. B., Freund, L. S., Hazra, R., & Raiten, D. J. (2017) · PEDIATRICS · doi:10.1542/peds.2016-2828c · Cited by 22
Palacios‐Barrios, E. E., Hanson, J. L., Barry, K. R., Albert, D., White, S. F., Skinner, A. T., Dodge, K. A., & Lansford, J. E. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100920 · Cited by 23
“…developmental trajectories of areas like the amygdala and the hippocampus, it is perhaps not surprising that poverty and the stressors associated with lower family income have been related to alterations in these and connected brain areas (Johnson et al., 2016; Palacios-Barrios and Hanson, 2019).”
BackgroundHow developmental neuroscience can help address the problem of child poverty
Pollak, S. D., & Wolfe, B. L. (2020) · Development and Psychopathology · doi:10.1017/s0954579420001145 · Cited by 27
Romo, H. D., Thomas, K. J. A., & García, E. E. (2018) · Child Policy Nexus · doi:10.1002/j.2379-3988.2018.tb00028.x · Cited by 23
Literacy Promotion: An Essential Component of Primary Care Pediatric Practice: Technical Report
Klass, P., Mendelsohn, A. L., Hutton, J. S., Dunlap, M., Anderson, A. T., High, P. C., Navsaria, D., COUNCIL ON EARLY CHILDHOOD, Miller-Fitzwater, A., Roby, E., et al. (2024) · Pediatrics · doi:10.1542/peds.2024-069091 · Cited by 20
Developmental profile of executive functioning in school-age children from Northeast Brazil.
Guerra, A., Hazin, I., Guerra, Y., Roulin, J.-L., Le Gall, D., & Roy, A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.596075 · Cited by 19
Poon, K., Ho, M. S. H., & Chou, K. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e11121 · Cited by 29
Webb, E. K., Cardenas‐Iniguez, C., & Douglas, R. D. (2022) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2022.958545 · Cited by 30
“With evidence from physiology, genomics, and neuroimaging, our knowledge regarding the impact of socioeconomic circumstances on mental health has progressed remarkably (Hackman and Farah, 2009; Gianaros and Hackman, 2013; Brito and Noble, 2014; Johnson et al., 2016; Farah, 2017, 2018).”
BackgroundLow income and schizophrenia risk: A narrative review
Schneider, M., Müller, C. P., & Knies, A. K. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.114047 · Cited by 26
Miller, L., Neupane, S., Joshi, N., & Lohani, M. (2020) · Journal of Dairy Science · doi:10.3168/jds.2020-18289 · Cited by 19
Feola, B., Dougherty, L. R., Riggins, T., & Bolger, D. J. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107636 · Cited by 19
The Cambridge Handbook of Infant Development
Lockman, J. J., Hertz, D., Tamis-LeMonda, C. S., Brain, B. C., Context..........................................., Rey, J., Falck-Ytter, T., Jones, E., Maurer, D., Cirelli, L., et al. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959 · Cited by 31
Reh, R. K., & Werker, J. F. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.021
Diet quality over time is associated with better development in rural Nepali children
Miller, L. C., Neupane, S., Joshi, N., Shrestha, M., Neupane, S., Lohani, M., & Thorne‐Lyman, A. (2020) · Maternal and Child Nutrition · doi:10.1111/mcn.12964 · Cited by 25
“…present many potential hazards to growing children, including poor nutrition, lack of medical care, increased exposure to infections, physical and emotional neglect, stress, and lack of stimulation for cognitive development (Johnson et al., 2016; Walker et al., 2007; Walker et al., 2011).”
BackgroundInfluentialPaths to language development in at risk children: a qualitative comparative analysis (QCA)
Short, K., Eadie, P. A., & Kemp, L. (2019) · BMC Pediatrics · doi:10.1186/s12887-019-1449-z · Cited by 31
Gallo, L. C., Roesch, S., Bravin, J. I., Savin, K., Perreira, K., Carnethon, M., Delamater, A., Salazar, C., Lopez-Gurrola, M., & Isasi, C. (2019) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000668 · Cited by 18
Psychotropic medications for highly vulnerable children
McLaren, J., Barnett, E. R., Concepción-Zayas, M. T., Lichtenstein, J. D., Acquilano, S. C., Schwartz, L. M., Woloshin, S., & Drake, R. E. (2018) · Expert Opinion on Pharmacotherapy · doi:10.1080/14656566.2018.1445720 · Cited by 29
Annual Research Review: Early conduct problems – precursors, outcomes, and etiology
Hyde, L. W., Trentacosta, C. J., & Bezek, J. L. (2025) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.70031 · Cited by 20
“…mechanisms may help elucidate the biological embedding of these experiences (for reviews, see Hyde, Gard, Tomlinson, Suarez, & Westerman, 2022; Johnson et al., 2016) and also help us understand how and why these specific experiences increase risk for youth antisocial behavior (Hyde et al.,…”
Herzberg, M. P., & Smyser, C. D. (2024) · Pediatric Research · doi:10.1038/s41390-024-03345-7 · Cited by 19
Lurie, L. A., Rosen, M. L., Weissman, D. G., Machlin, L., Lengua, L. J., Sheridan, M. A., & McLaughlin, K. A. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhad545 · Cited by 17
Chajes, J. R., Stern, J. A., Kelsey, C. M., & Großmann, T. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.892482 · Cited by 19
Low household income and neurodevelopment from infancy through adolescence
Hair, N. L., Hanson, J. L., Wolfe, B. L., & Pollak, S. D. (2022) · PLoS ONE · doi:10.1371/journal.pone.0262607 · Cited by 18
Maternal depression is associated with less dietary diversity among rural Nepali children
Miller, L. C., Neupane, S., Sparling, T. M., Shrestha, M., Joshi, N., Lohani, M., & Thorne‐Lyman, A. (2021) · Maternal and Child Nutrition · doi:10.1111/mcn.13221 · Cited by 23
“…depression and adverse child outcomes (Anato et al., 2020; Berkes et al., 2019; Black et al., 2009; Gelaye et al., 2016; Harpham et al., 2005; Johnson et al., 2016; McCoy et al., 2016; Patel et al., 2004; Rahman et al., 2004; Ruel et al., 2013; Sania et al., 2019; Smith Fawzi et al., 2019;…”
BackgroundResultGroup Triple P – A randomized controlled trial with low-income mothers
Nogueira, S., Abreu‐Lima, I., Canário, C., & Cruz, O. (2021) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105862 · Cited by 18
Ibáñez-Alfonso, J. A., R. Company-Córdoba, de la Cadena, C. G., Sianes, A., & Simpson, I. C. (2021) · Children · doi:10.3390/children8020090 · Cited by 17
“Johnson, Riis, and Noble [7] conducted an extensive literature review of the relationship between socioeconomic status and brain development, noting that an important number of studies have taken into account the implication that a lack of resources and exposure to toxins and stress have for a child’s brain function a…”
BackgroundA Culture-Based Talking Circle Intervention for Native American Youth at Risk for Obesity
Kelley, M., & Lowe, J. R. (2018) · Journal of Community Health Nursing · doi:10.1080/07370016.2018.1475796 · Cited by 24
SmithBattle, L., Chantamit‐o‐pas, C., Freed, P., McLaughlin, D., & Schneider, J. K. (2017) · Journal of Child and Adolescent Psychiatric Nursing · doi:10.1111/jcap.12172 · Cited by 16
Metadata
- Authors
- Johnson, S. B., Riis, J. L., & Noble, K. G.
- Affiliations
- Johns Hopkins University (US)
- Columbia University (US)
- Venue
- Pediatrics
- Publisher
- American Academy of Pediatrics (AAP)
- Published
- 2016-04-01
- Volume
- 137
- Issue
- 4
- ISSN
- 0031-4005 (ISSN-L)
- 1098-4275
- PMC
- PMC4811314
- OpenAlex
- W2300556435
- Cited by
- 624
- References
- 0
- Citations by year
- 2026: 42 · 2025: 43 · 2024: 57 · 2023: 52 · 2022: 78 · 2021: 90 · 2020: 113 · 2019: 47 · 2018: 55 · 2017: 36 · 2016: 8
- FWCI
- 9.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- PEDIATRICS (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute on Drug Abuse (K01DA027229)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Food Security and Health in Diverse Populations
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Health Sciences › Nursing › Nutrition and Dietetics › Child Nutrition and Water Access
- Keywords
- child poverty, socioeconomic status, brain development, neuroplasticity, epigenetics, environmental enrichment, material deprivation, cognitive stimulation, nutritional deficiency, parental stress, environmental toxins, hippocampus, amygdala, prefrontal cortex, language and literacy, developmental delay, pediatric medical home
- MeSH terms
- Brain, Child, Environmental Exposure, Humans, Maternal Deprivation, Poverty, Social Class, Stress, Psychological, United States, Health Status Disparities
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 ›
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