the ecls - b includes data from a cohort of ~10,200 children born in the us in 2001 .
note that all sample sizes reported in this paper have been rounded to the nearest 50 , as specified by ecls - b data confidentiality requirements ( which are available at the ecls - b website : http://nces.ed.gov/ecls/birthdatainformation.asp ) .
the ecls - b sample was selected from birth certificate records and includes oversamples of asian and pacific islanders , native americans and alaska natives , low birthweight ( 1,5002,500  g ) and very low birthweight ( < 1,500  g ) children , and multiple births .
sample weights are provided in the ecls - b dataset to allow for calculation of nationally - representative estimates .
the ecls - b study protocol includes direct developmental assessments and interviews with family members when children are 9  months , 24  months , and 48  months of age .
data used in the present analyses were gathered at the 24 and 48  month assessments . in this study , we restricted the analytic sample to the approximately 7,200 children having cognitive assessment data from the 24 and 48  month developmental assessments , as well as data for each of the other variables included in the multivariate models .
thus , the analytic sample excluded some children who participated in the ecls - b study but had missing data on variables of interest .
however , those children who were excluded were generally similar to those included in the analytic sample on most observed socioeconomic characteristics .
data for the 48  month developmental assessments were slightly more likely to be missing among males and among black children , resulting in analytic sample sizes for these groups that were smaller than their representation in the full sample by 1.2 percent and 3 percent , respectively .
the outcome of interest , delayed cognitive functioning , was quantified based on standardized cognitive assessments administered to children at the 24 and 48  month survey waves . at 24  months
, the mental scale of the bayley short form - research edition ( bsf - r ) was used .
this is a modified version of the bayley scales of infant development , second edition ( bsid - ii ) , which is designed for use in children from birth to 36  months of age . in both the bsid - ii and the bsf - r ,
the mental score is based on trained interviewer assessments of age - appropriate cognitive development as manifested in tasks demonstrating memory , habituation , preverbal communication , problem - solving , and concept attainment .
the shortened bsf - r was extensively tested to ensure that the psychometric properties of the bsid - ii were maintained and that it accurately measured children s performance over the entire ability distribution .
a mental scale score is provided in the ecls - b , along with the child s age at the time of administration . for children born preterm , age at administration
a dichotomous variable was created having a value of 1 for children scoring in the lowest 10% of the bsf - r scale distribution and 0 otherwise .
this 10th percentile cut - point has been used to identify cognitive delay in previous research by our team   and by others [ 2628 ] .
the patterns of results using these alternative cut points were consistent with the results we report using the 10% cut point .
administration of the bayley assessment was no longer age - appropriate by the 48  month time point . instead , a standardized assessment battery measuring literacy ,
thus , the 48  months battery consisted of items relating more directly to preschool - aged children s academic school readiness .
the battery incorporated items from a number of standardized assessments developed for use in other large studies of child development such as the head start impact study , and included elements of the peabody picture vocabulary test , the preschool comprehensive test of phonological and print processing , the prelas 2000 , and the test of early mathematics ability-3 .
we converted children s scores on the measures of literacy , math concepts , color knowledge , and receptive vocabulary into z - scores and summed them to produce a summary cognitive score .
similar to the procedure used for the bsf - r scores , we created a dichotomous variable that was given a value of 1 for those scoring in the lowest 10% of the distribution , and 0 otherwise .
socio - demographic data were collected in parent interviews and from birth certificates , and variables were included in the analyses capturing children s race / ethnic origin ( non - hispanic white , non - hispanic black , hispanic , asian , native american , and other ) , maternal education ( less than 9th grade , 9th12th grade , high school graduate , some college or other training after high school , and 4-year college degree and above ) , family income ( less than $ 10,000 , $ 10,00120,000 , $ 20,001$40,000 , $ 40,001$75,000 , or over $ 75,000 ) , maternal age , and marital status .
birth certificate records provided data on medical risk factors during pregnancy ( quantified as a count of problems present including incompetent cervix , acute or chronic lung disease , chronic hypertension , pregnancy - induced hypertension , eclampsia , diabetes , hemoglobinopathy , cardiac disease , anemia , renal disease , genital herpes , oligohydramnios , uterine bleeding , rh sensitization , previous birth weighing 4,000+g , or previous preterm birth ) , behavioral risk factors during pregnancy ( alcohol and tobacco use during pregnancy , coded as 1 if present and summed to form a scale that ranged from 0 to 2 ) , obstetrical procedures ( measured as a count of procedures including induction of labor , stimulation of labor , tocolysis , amniocentesis , and cesarean section ) , labor complications ( measured as a count of complications including abruption placenta , anesthetic complications , dysfunctional labor , breech / malpresentation , cephalopelvic disproportion , cord prolapsed , fetal distress , excessive bleeding , fever of > 100f , moderate / heavy meconium , precipitous labor ( <3  h ) , prolonged labor ( > 24  h ) , placental previa , or seizures during labor ) , multiple birth , preterm delivery ( represented by two dichotomous indicator variables : ( 1 ) very preterm ( 32  weeks ) and ( 2 ) moderately preterm ( 3336  weeks ) ) , low birthweight ( represented by 2 dichotomous indicator variables : ( 1 ) very low birthweight ( 1,500  g ) and ( 2 ) moderately low birthweight ( 1,5012,500  g ) , and presence of any congenital anomaly . child age was included to control for variations in actual age at administration of the 24 and 48  month assessments .
descriptive analyses were conducted for study variables , as well as cross - tabulation of cognitive delay at 48  months by delay status at 24  months to assess the relative stability of cognitive delay over the two time points .
two nested multiple logistic regression models were estimated for each of these study time points to examine associations between low cognitive functioning and socio - demographic characteristics and gestational and birth - related factors . to identify potential differences between children with persistent and emerging delay over the study period ,
additional sets of multiple logistic models predicting cognitive delay at 48  months were estimated separately for children with and without delay at 24  months .
analyses were weighted to appropriately account for the oversampling of some population groups and the stratified cluster design of the ecls - b .
the ecls - b includes data from a cohort of ~10,200 children born in the us in 2001 .
note that all sample sizes reported in this paper have been rounded to the nearest 50 , as specified by ecls - b data confidentiality requirements ( which are available at the ecls - b website : http://nces.ed.gov/ecls/birthdatainformation.asp ) .
the ecls - b sample was selected from birth certificate records and includes oversamples of asian and pacific islanders , native americans and alaska natives , low birthweight ( 1,5002,500  g ) and very low birthweight ( < 1,500  g ) children , and multiple births .
sample weights are provided in the ecls - b dataset to allow for calculation of nationally - representative estimates .
the ecls - b study protocol includes direct developmental assessments and interviews with family members when children are 9  months , 24  months , and 48  months of age .
data used in the present analyses were gathered at the 24 and 48  month assessments . in this study , we restricted the analytic sample to the approximately 7,200 children having cognitive assessment data from the 24 and 48  month developmental assessments , as well as data for each of the other variables included in the multivariate models .
thus , the analytic sample excluded some children who participated in the ecls - b study but had missing data on variables of interest .
however , those children who were excluded were generally similar to those included in the analytic sample on most observed socioeconomic characteristics .
data for the 48  month developmental assessments were slightly more likely to be missing among males and among black children , resulting in analytic sample sizes for these groups that were smaller than their representation in the full sample by 1.2 percent and 3 percent , respectively .
the outcome of interest , delayed cognitive functioning , was quantified based on standardized cognitive assessments administered to children at the 24 and 48  month survey waves . at 24  months
, the mental scale of the bayley short form - research edition ( bsf - r ) was used .
this is a modified version of the bayley scales of infant development , second edition ( bsid - ii ) , which is designed for use in children from birth to 36  months of age . in both the bsid - ii and the bsf - r ,
the mental score is based on trained interviewer assessments of age - appropriate cognitive development as manifested in tasks demonstrating memory , habituation , preverbal communication , problem - solving , and concept attainment .
the shortened bsf - r was extensively tested to ensure that the psychometric properties of the bsid - ii were maintained and that it accurately measured children s performance over the entire ability distribution .
a mental scale score is provided in the ecls - b , along with the child s age at the time of administration . for children born preterm , age at administration
a dichotomous variable was created having a value of 1 for children scoring in the lowest 10% of the bsf - r scale distribution and 0 otherwise .
this 10th percentile cut - point has been used to identify cognitive delay in previous research by our team   and by others [ 2628 ] .
the patterns of results using these alternative cut points were consistent with the results we report using the 10% cut point .
administration of the bayley assessment was no longer age - appropriate by the 48  month time point .
instead , a standardized assessment battery measuring literacy , math concepts , color knowledge , and receptive vocabulary skills was administered .
thus , the 48  months battery consisted of items relating more directly to preschool - aged children s academic school readiness .
the battery incorporated items from a number of standardized assessments developed for use in other large studies of child development such as the head start impact study , and included elements of the peabody picture vocabulary test , the preschool comprehensive test of phonological and print processing , the prelas 2000 , and the test of early mathematics ability-3 .
we converted children s scores on the measures of literacy , math concepts , color knowledge , and receptive vocabulary into z - scores and summed them to produce a summary cognitive score .
similar to the procedure used for the bsf - r scores , we created a dichotomous variable that was given a value of 1 for those scoring in the lowest 10% of the distribution , and 0 otherwise .
socio - demographic data were collected in parent interviews and from birth certificates , and variables were included in the analyses capturing children s race / ethnic origin ( non - hispanic white , non - hispanic black , hispanic , asian , native american , and other ) , maternal education ( less than 9th grade , 9th12th grade , high school graduate , some college or other training after high school , and 4-year college degree and above ) , family income ( less than $ 10,000 , $ 10,00120,000 , $ 20,001$40,000 , $ 40,001$75,000 , or over $ 75,000 ) , maternal age , and marital status . birth certificate records provided data on medical risk factors during pregnancy ( quantified as a count of problems present including incompetent cervix , acute or chronic lung disease , chronic hypertension , pregnancy - induced hypertension , eclampsia , diabetes , hemoglobinopathy , cardiac disease , anemia , renal disease , genital herpes , oligohydramnios , uterine bleeding , rh sensitization , previous birth weighing 4,000+g , or previous preterm birth ) , behavioral risk factors during pregnancy ( alcohol and tobacco use during pregnancy , coded as 1 if present and summed to form a scale that ranged from 0 to 2 ) , obstetrical procedures ( measured as a count of procedures including induction of labor , stimulation of labor , tocolysis , amniocentesis , and cesarean section ) , labor complications ( measured as a count of complications including abruption placenta , anesthetic complications , dysfunctional labor , breech / malpresentation , cephalopelvic disproportion , cord prolapsed , fetal distress , excessive bleeding , fever of > 100f , moderate / heavy meconium , precipitous labor ( <3  h ) , prolonged labor ( > 24  h ) , placental previa , or seizures during labor ) , multiple birth , preterm delivery ( represented by two dichotomous indicator variables : ( 1 ) very preterm ( 32  weeks ) and ( 2 ) moderately preterm ( 3336  weeks ) ) , low birthweight ( represented by 2 dichotomous indicator variables : ( 1 ) very low birthweight ( 1,500  g ) and ( 2 ) moderately low birthweight ( 1,5012,500  g ) , and presence of any congenital anomaly . child age was included to control for variations in actual age at administration of the 24 and 48  month assessments .
the outcome of interest , delayed cognitive functioning , was quantified based on standardized cognitive assessments administered to children at the 24 and 48  month survey waves . at 24  months
, the mental scale of the bayley short form - research edition ( bsf - r ) was used .
this is a modified version of the bayley scales of infant development , second edition ( bsid - ii ) , which is designed for use in children from birth to 36  months of age . in both the bsid - ii and the bsf - r ,
the mental score is based on trained interviewer assessments of age - appropriate cognitive development as manifested in tasks demonstrating memory , habituation , preverbal communication , problem - solving , and concept attainment .
the shortened bsf - r was extensively tested to ensure that the psychometric properties of the bsid - ii were maintained and that it accurately measured children s performance over the entire ability distribution .
a mental scale score is provided in the ecls - b , along with the child s age at the time of administration . for children born preterm , age at administration
a dichotomous variable was created having a value of 1 for children scoring in the lowest 10% of the bsf - r scale distribution and 0 otherwise .
this 10th percentile cut - point has been used to identify cognitive delay in previous research by our team   and by others [ 2628 ] .
the patterns of results using these alternative cut points were consistent with the results we report using the 10% cut point .
administration of the bayley assessment was no longer age - appropriate by the 48  month time point .
instead , a standardized assessment battery measuring literacy , math concepts , color knowledge , and receptive vocabulary skills was administered .
thus , the 48  months battery consisted of items relating more directly to preschool - aged children s academic school readiness .
the battery incorporated items from a number of standardized assessments developed for use in other large studies of child development such as the head start impact study , and included elements of the peabody picture vocabulary test , the preschool comprehensive test of phonological and print processing , the prelas 2000 , and the test of early mathematics ability-3 .
we converted children s scores on the measures of literacy , math concepts , color knowledge , and receptive vocabulary into z - scores and summed them to produce a summary cognitive score .
similar to the procedure used for the bsf - r scores , we created a dichotomous variable that was given a value of 1 for those scoring in the lowest 10% of the distribution , and 0 otherwise .
socio - demographic data were collected in parent interviews and from birth certificates , and variables were included in the analyses capturing children s race / ethnic origin ( non - hispanic white , non - hispanic black , hispanic , asian , native american , and other ) , maternal education ( less than 9th grade , 9th12th grade , high school graduate , some college or other training after high school , and 4-year college degree and above ) , family income ( less than $ 10,000 , $ 10,00120,000 , $ 20,001$40,000 , $ 40,001$75,000 , or over $ 75,000 ) , maternal age , and marital status .
birth certificate records provided data on medical risk factors during pregnancy ( quantified as a count of problems present including incompetent cervix , acute or chronic lung disease , chronic hypertension , pregnancy - induced hypertension , eclampsia , diabetes , hemoglobinopathy , cardiac disease , anemia , renal disease , genital herpes , oligohydramnios , uterine bleeding , rh sensitization , previous birth weighing 4,000+g , or previous preterm birth ) , behavioral risk factors during pregnancy ( alcohol and tobacco use during pregnancy , coded as 1 if present and summed to form a scale that ranged from 0 to 2 ) , obstetrical procedures ( measured as a count of procedures including induction of labor , stimulation of labor , tocolysis , amniocentesis , and cesarean section ) , labor complications ( measured as a count of complications including abruption placenta , anesthetic complications , dysfunctional labor , breech / malpresentation , cephalopelvic disproportion , cord prolapsed , fetal distress , excessive bleeding , fever of > 100f , moderate / heavy meconium , precipitous labor ( <3  h ) , prolonged labor ( > 24  h ) , placental previa , or seizures during labor ) , multiple birth , preterm delivery ( represented by two dichotomous indicator variables : ( 1 ) very preterm ( 32  weeks ) and ( 2 ) moderately preterm ( 3336  weeks ) ) , low birthweight ( represented by 2 dichotomous indicator variables : ( 1 ) very low birthweight ( 1,500  g ) and ( 2 ) moderately low birthweight ( 1,5012,500  g ) , and presence of any congenital anomaly . child age was included to control for variations in actual age at administration of the 24 and 48  month assessments .
descriptive analyses were conducted for study variables , as well as cross - tabulation of cognitive delay at 48  months by delay status at 24  months to assess the relative stability of cognitive delay over the two time points .
two nested multiple logistic regression models were estimated for each of these study time points to examine associations between low cognitive functioning and socio - demographic characteristics and gestational and birth - related factors . to identify potential differences between children with persistent and emerging delay over the study period ,
additional sets of multiple logistic models predicting cognitive delay at 48  months were estimated separately for children with and without delay at 24  months .
analyses were weighted to appropriately account for the oversampling of some population groups and the stratified cluster design of the ecls - b .
table  1 provides descriptive statistics for the study sample , including gestational and birth factors , demographic characteristics , and mean cognitive scores at the 24 and 48  month assessments . of the 11% of children born preterm , 9 percentage points were due to those born between 33 and 36  weeks , and 2 percentage points were due to those born very preterm at 32  weeks gestation or fewer .
similarly , a small percentage ( 1% ) of the sample were born at very low birthweight ( 1,500  g ) , while 6% had moderately low birthweight ( 1,5012,500  g ) .
the next largest ethnic groups , hispanic and black children , made up 22 and 14% of the sample , respectively.table  1demographic characteristics , gestational and birth factors , and cognitive test scores , early childhood longitudinal study - birth cohort ( ecls - b ) study sample ( n  =  7,200)mean or percentstandard deviationmale50%child age ( months ) , ecls - b wave 224.391.16child age ( months ) , ecls - b wave 352.544.10ethnic origin  white , non - hispanic57%  black14%  hispanic22%  asian3%  native american0.4%  other4%mother s education , 24  month assessment  less than 9th grade3%  from 9th to 12th grade12%  high school graduate31%  some training / college after high school27%  four year college degree and above26%family income , 24  month assessment  less than $ 10,0009%  between $ 10,001 and $ 20,00014%  between $ 20,001 and $ 40,00027%  between $ 40,001 and $ 75,00026%  at or above $ 75,00124%mother s education , 48  month assessment  less than 9th grade3%  from 9th to 12th grade10%  high school graduate30%  some training / college after high school30%  four year college degree and above27%family income , 48  month assessment  less than $ 10,0008%  between $ 10,001 and $ 20,00012%  between $ 20,001 and $ 40,00026%  between $ 40,001 and $ 75,00025%  at or above $ 75,00128%maternal age  =  35 or older14%marital status  =  unmarried , 48  month assessment32%medical risk factor(s)0.180.52behavioral risk factor(s)0.120.33obstetric procedure(s)0.590.68labor complication(s)0.360.67multiple birth3%gestation  very preterm 32 
1,500  g1%  moderately low birthweight 1,5012,500 grams6%congenital anomaly5%bayley mental score , 24  month assessment127.7510.66literacy score , 48  month assessment13.117.14math score , 48  month assessment22.647.42color knowledge score , 48  month assessment8.772.28receptive vocabulary score , 48  month assessment8.601.9248 month assessment score53.1216.00the bayley mental score was used as the cognitive score at 24  months ; at 48  months , literacy , math , color knowledge , and receptive vocabulary scores were converted into z - scores and summedsample size rounded to nearest 50 in accordance with ecls - b data confidentiality requirements ( available at http://nces.ed.gov/ecls/birthdatainformation.asp)estimates are weighted to take the complex sampling design into accountany congenital abnormality identified on the birth certificate demographic characteristics , gestational and birth factors , and cognitive test scores , early childhood longitudinal study - birth cohort ( ecls - b ) study sample ( n  =  7,200 ) the bayley mental score was used as the cognitive score at 24  months ; at 48  months , literacy , math , color knowledge , and receptive vocabulary scores were converted into z - scores and summed sample size rounded to nearest 50 in accordance with ecls - b data confidentiality requirements ( available at http://nces.ed.gov/ecls/birthdatainformation.asp ) estimates are weighted to take the complex sampling design into account any congenital abnormality identified on the birth certificate table  2 displays information for two groups of children .
data for the nearly 1,000 children who scored in the lowest 10% of the weighted cognitive score distribution at 24  months are shown in the top panel .
the bottom panel contains data for children not in the low range at 24  months . of the children classified as cognitively delayed at the 24  month assessment ,
conversely , 7.9% of children who were not delayed at 24  months fell into the low range by 48  months .
this indicates that the majority of children displaying cognitive delay at 24  months of age do not display atypically low levels of school readiness at 48  months of age.table  2patterning of cognitive scores over time in early childhood , ecls - b unweighted study sample ( n  =  7,200)number notnumberpercent ( 95% ci)delayed at 48 modelayed at 48 modelayed at 48 moi .
all children cognitively delayed at 24 mo ( n  =  1,000)75025024.2 ( 21.6 , 27.0)ii .
all children not cognitively delayed at 24 mo ( n  =  6,250)5,7505007.9 ( 7.2 , 8.6)the bayley mental score was used as the cognitive score at 24  months ; at 48  months , literacy , math , color knowledge , and receptive vocabulary scores were converted into z - scores and summed . at both 24 and 48  months , cognitive delay was defined as falling in the lowest 10% of scorescutoffs for the bottom 10% of scores at 24 and 48  months were determined from the weighted , full available sample of cases at each time point .
( this , plus oversampling of low birth weight and multiple birth children accounts for the fact that the analysis sample contains more than 10% delayed children at 24  months.)all sample sizes in this table are rounded to the nearest 50 in accordance with ecls - b data confidentiality requirements ( available at http://nces.ed.gov/ecls/birthdatainformation.asp)percentages and confidence intervals are calculated from actual sample sizes and have not been rounded patterning of cognitive scores over time in early childhood , ecls - b unweighted study sample ( n  =  7,200 ) the bayley mental score was used as the cognitive score at 24  months ; at 48  months , literacy , math , color knowledge , and receptive vocabulary scores were converted into z - scores and summed . at both 24 and 48  months , cognitive delay was defined as falling in the lowest 10% of scores cutoffs for the bottom 10% of scores at 24 and 48  months were determined from the weighted , full available sample of cases at each time point .
( this , plus oversampling of low birth weight and multiple birth children accounts for the fact that the analysis sample contains more than 10% delayed children at 24  months . ) all sample sizes in this table are rounded to the nearest 50 in accordance with ecls - b data confidentiality requirements ( available at http://nces.ed.gov/ecls/birthdatainformation.asp ) percentages and confidence intervals are calculated from actual sample sizes and have not been rounded table  3 shows logistic regression models predicting the child s cognitive delay status separately at 24 and 48  months .
the first model includes demographic information including sex , age , and race / ethnic origin .
the second model also adds socioeconomic variables and characteristics of gestation and infant status at birth .
the numbers shown are the effects of each predictor on the odds of a child displaying a low cognitive score , after statistically controlling for all of the other variables in the model.table  3logistic regression estimates ( odds ratios ) of displaying low cognitive scores at the 24 and 48 month assessments ( n  =  7,200)24 mo assessment48 mo assessmentmodel 1model 2model 1model 2male1.93***2.00***1.55***1.66***child age ( months)0.66***0.64***0.86***0.83***ethnic origin  black3.00***1.92***4.47***1.97 * * *  hispanic2.89***2.04***5.69***2.61 * * *  asian2.45***2.74***1.68 * 1.61  native american1.961.464.45***2.37 * * *  other1.85 * 1.492.40***1.70 *  white , non - hispanic1.00 ( ref)1.00 ( ref)1.00 ( ref)1.00 ( ref)mother s education at corresponding assessment  less than 9th grade2.33**13.65 * * *  from 9th to 12th grade2.45***6.88 * * *  high school graduate1.97***3.13 * * *  some training / college after high school1.81**1.83 *  four year college degree and above1.00 ( ref)1.00 ( ref)family income at corresponding assessment  less than $ 10,0001.437.01 * * *  between $ 10,001 and $ 20,0001.565.13 * * *  between $ 20,001 and $ 40,0001.313.92 * * *  between $ 40,001 and $ 75,0001.102.52 * *  at or above $ 75,0011.00 ( ref)1.00 ( ref)maternal age  =  35 or older0.900.96marital status  =  unmarried , 48  month assessment1.100.99medical risk
factor(s)0.980.89behavioral risk factor(s)0.790.87obstetric procedure(s)0.850.83*labor complication(s)1.041.03multiple birth1.52**1.52*gestation  very preterm 32  weeks1.521.86  moderately preterm 3336  weeks1.071.10birthweight  very low birthweight4.38***1.10  moderately low birthweight1.70***1.17congenital anomaly1.191.27 *  p    0.05 , * *  p    0.01 , * * *  p    0.001literacy , math , color knowledge , and receptive vocabulary scores were converted into z - scores and summed to produce cognitive score at 48  months ; lowest 10% were defined as lowbayley mental score was used as cognitive score at 24  months ; lowest 10% were defined as lowsample size rounded to the nearest 50 in accordance with ecls - b data confidentiality requirements ( available at http://nces.ed.gov/ecls/birthdatainformation.asp ) logistic regression estimates ( odds ratios ) of displaying low cognitive scores at the 24 and 48 month assessments ( n  =  7,200 ) *  p    0.05 , * *  p    0.01 , * * *  p    0.001 literacy , math , color knowledge , and receptive vocabulary scores were converted into z - scores and summed to produce cognitive score at 48  months ; lowest 10% were defined as low bayley mental score was used as cognitive score at 24  months ; lowest 10% were defined as low sample size rounded to the nearest 50 in accordance with ecls - b data confidentiality requirements ( available at http://nces.ed.gov/ecls/birthdatainformation.asp ) model 1 , displaying findings from the 24  month assessment , indicates that male children were approximately twice as likely as female children to exhibit low cognitive functioning .
those children who were comparatively older at the time of the assessment were less likely to have lower scores . compared to
non - hispanic white children , black , hispanic , and asian children , as well as those of other race / ethnic origins ( with the exception of native americans ) had significantly elevated odds of displaying cognitive delay .
children of mothers in the lowest education category experiencing over twice the risk of low cognitive scores compared to children of highly educated mothers .
other significant predictors of cognitive delay at 24  months include multiple birth ( or  =  1.52 ) and being born at very low or moderately low birthweight ( or  =  4.38 and or  =  1.70 , respectively ) .
the addition of socioeconomic and birth - related variables in model 2 reduces the effects associated with black and hispanic race / ethnicity , but does not completely account for those effects as race / ethnicity remains a statistically significant risk factor .
the effects of low maternal education become even stronger at 48  months . at this time point , and controlling for many other variables , children of mothers with the lowest educational attainment are more than 13 times more likely to be cognitively delayed than children of the most highly educated mothers .
this indicates that income and education each exert independent effects on children s risk of displaying delayed cognitive functioning at 48  months . by 48  months , birthweight is no longer predictive of cognitive delay .
however , gender and multiple birth remain significant , and having had obstetrical procedures at birth is associated with lower risk .
similar to the findings at 24  months , the estimated effects of race / ethnicity are generally reduced in magnitude but not eliminated after accounting for additional social and birth - related factors .
table  4 shows estimated effects of risk factors for cognitive delay at 48  months , separately for children who were , and who were not cognitively delayed at 24  months .
looking first at those who were delayed at 24  months , the full model ( model 2 ) indicates that maternal education is an extremely strong risk factor for continued delay at 48  months ( or  =  30.49 for lowest maternal education category , and 10.66 for the second - lowest category ) , with family income also shown to be important ( or  =  7.58 for the lowest income category and 4.17 for the second - lowest category ) .
very low birthweight is significant in model 2 , however race / ethnicity is not.table  4logistic regression estimates ( odds ratios ) of displaying low cognitive scores at 48 months , shown separately for children with and without cognitive delay at 24 monthschildren with low cognitive score at the 24 month assessment ( n  =  1,000)children with non - low cognitive score at the 24 month assessment ( n  =  6,250)model 1model 2model 1model 2male0.881.061.57***1.68***child age ( months)0.85***0.82***0.85***0.83***ethnic origin  black2.30**1.604.39***1.89 * * *  hispanic2.32**1.366.18***2.87 * * *  asian0.881.101.731.54  native american0.860.385.66***3.31 * * *  other3.36 * 2.162.00 * 1.40  white , non - hispanic1.00 ( ref)1.00 ( ref)1.00 ( ref)1.00 ( ref)mother s education at corresponding assessment  less than 9th grade30.49***11.46 * * *  from 9th to 12th grade10.66***5.93 * * *  high school graduate5.61**2.62 * *  some training / college after high school3.031.56  four year college degree and above1.00 ( ref)1.00 ( ref)family income at corresponding assessment  less than $ 10,0007.58***6.20 * * *  between $ 10,001 and $ 20,0004.17**4.85 * * *  between $ 20,001 and $ 40,0003.19 * 3.86 * * *  between $ 40,001 and $ 75,0003.17**2.31 *  at or above $ 75,0011.00 ( ref)1.00 ( ref)maternal age  =  35 or older1.220.89marital status  =  unmarried , 48  month assessment0.781.02medical risk
factor(s)1.360.77behavioral risk factor(s)1.170.83obstetric procedure(s)0.910.81*labor complication(s)0.981.04multiple birth1.251.48*gestation  very preterm 32  weeks0.333.07 * *  moderately preterm 3336  weeks0.821.17birthweight  very low birthweight3.42 * 0.56  moderately low birthweight1.261.13congenital anomaly1.071.26 *  p    0.05 , * *  p    0.01 , * * *  p    0.001literacy , math , color knowledge , and receptive vocabulary scores were converted into z - scores and summed to produce cognitive score at 48  months ; lowest 10% were defined as lowbayley mental score was used as cognitive score at 24  months ; lowest 10% were defined as lowall sample sizes in this table are rounded to the nearest 50 in accordance with ecls - b data confidentiality requirements ( available at http://nces.ed.gov/ecls/birthdatainformation.asp ) logistic regression estimates ( odds ratios ) of displaying low cognitive scores at 48 months , shown separately for children with and without cognitive delay at 24 months *  p    0.05 , * *  p    0.01 , * * *  p    0.001 literacy , math , color knowledge , and receptive vocabulary scores were converted into z - scores and summed to produce cognitive score at 48  months ; lowest 10% were defined as low bayley mental score was used as cognitive score at 24  months ; lowest 10% were defined as low all sample sizes in this table are rounded to the nearest 50 in accordance with ecls - b data confidentiality requirements ( available at http://nces.ed.gov/ecls/birthdatainformation.asp ) among children who were not delayed at 24  months , the results of model 2 show both similarities and differences with those who were delayed .
one difference is that for those not delayed at 24  months , race / ethnic origin effects are larger and more likely to be statistically significant than for those who were delayed .
these occur for blacks ( or  =  1.89 ) , hispanics ( or  =  2.87 ) , and native americans ( or  =  3.31 ) .
mother s education and family income effects are now smaller in magnitude than for the previously delayed , but still strikingly large overall .
the effect for the lowest category of mother s education has an or  =  11.46 , while the lowest category of family income has an or  =  6.20 .
very preterm birth ( or  =  3.07 ) and multiple birth ( or  =  1.48 ) are also associated with elevated risk for low cognitive scores at 48  months in this group of children , and a history of obstetric procedures is associated with lower risk ( or  =  0.81 ) .
collectively , these analyses indicate that particular socioeconomic factors ( i.e. , low maternal education , low family income ) strongly elevate a child s risk for cognitive delay .
this is the case for each time period separately , and , when separate analyses are run according to cognitive delay status at 24  months , for both persistent and emerging delay .
such is not the case for the gestational and birth characteristics , where effects become much weaker when predicting cognitive delay at 48  months .
the importance and regularity of the effects of the socio - economic factors are also underscored by the fact that they display a monotonic increasing pattern , in that each increase in either the mother s education level or the family s income corresponds to a decrease in a child s risk of persistent or variable cognitive delay .
the largest of these effects occurs at the very lowest level of mother s education , when predicting child outcomes at 48  months .
the goal of this study was to identify patterns of cognitive delay in the us child population between 24 and 48  months of age , and quantify the factors associated with increased risk of experiencing such delay .
the findings provide evidence for a high likelihood of  recovery  among children who exhibit cognitive delay at 24  months , with 76% testing in the non - delayed range by 48  months .
the analyses also identified a group of children who repeatedly display cognitive delay during the toddler to preschool period .
the estimates indicate that about one - quarter of those delayed at 24  months will also experience delay at 48  months ( i.e. , persistently delayed children ) .
these children will likely require early intervention services if they are to successfully meet the increasing demands of primary school classrooms .
multivariate analyses involving children delayed at 24  months indicate that low levels of maternal education and family income are by far the most salient risk factors for continued delay at 48  months .
these factors are associated with dramatic increases in risk of 30-fold ( mother s education ) and sevenfold ( family income ) , respectively .
in contrast , very low birthweight status is associated with a more modest but still significant threefold increase in risk . among children without delay at 24  months
, socio - demographic factors including low maternal education and low family income also had the strongest effects on the risk of delay at 48  months , while perinatal characteristics including prematurity and multiple gestation were associated with lesser but still significantly elevated odds of delay .
the analyses presented here provide important new evidence about the patterning and relative importance of socio - demographic and perinatal factors in determining the risk of cognitive delay over time within the general population of young children .
much previous research about the adverse effects of perinatal factors on subsequent child development has been based on follow - up of clinical samples of low and very low birthweight children [ 5 , 9 , 3437 ] , who are often compared with similar numbers of normal birthweight children matched on demographic characteristics   or selected from regional samples .
consistent with the present analyses , those prior studies identify persistent negative effects of low birthweight and prematurity on cognitive development [ 3 , 6 ] . although these studies provide valuable information , they do not directly contrast the relative magnitude of these gestational and birth factors with the risks of cognitive delay associated with socioeconomic disadvantage among young children who are seen in general pediatric practice .
population - level research on developmental outcomes has generally been limited to secondary analysis of datasets such as the national health and nutrition examination survey , the national health interview survey , and the panel study of income dynamics , in which small sample sizes necessitate pooling data from children of widely varying ages , often over both child and adolescent age ranges .
the present analyses underscore the strong effects of lower socioeconomic status , including lower maternal education and family income , on children s developmental risk .
in particular , children with cognitive delay at 24  months who have less educated mothers are at markedly elevated risk of persistent delay through 48  months .
lower socioeconomic status is known to be associated with a range of exposures that can adversely influence cognitive development .
these exposures include suboptimal nutritional status , both in overall caloric intake and with regard to specific nutrients needed for central nervous system functioning including iron , iodine and essential fatty acids [ 3841 ] , as well as increased incidence of chronic health conditions such as asthma .
economically disadvantaged families are also more likely to live in neighborhoods that contain sources of lead , pcbs , and other toxins that can impair cognitive functioning . lower socioeconomic status is also associated with less optimal home   and childcare   environments that tend to provide less cognitive stimulation .
for example , mothers with lower education levels typically use both lower quantity and quality vocabularies when interacting with their children .
children in low - income families tend to watch tv more frequently , and often lack access to storybooks and other types of print material [ 49 , 50 ] .
the finding in this study that black , hispanic , and native american children are at increased risk of emerging delay after taking family income and education into account is consistent with findings that minority families are differentially more likely to experience adverse health - related and environmental exposures than white families of similar socioeconomic status [ 51 , 52 ] . culturally diverse and
non - english - speaking families also tend to have reduced access to and utilization of high quality pediatric health care that could counteract or buffer at least some of the effects of adverse physical and environmental exposures [ 53 , 54 ] .
the study findings have a number of practical implications for providers of pediatric health care .
first , universal and comprehensive developmental screening in pediatric practice is critical for detecting early developmental delays .
a recent survey of pediatricians , however , indicates that only about a quarter adhere to current screening guidelines , which call for standardized developmental screening tests at 9 , 18 , and 24 or 30  months of age , and screening for school readiness at age 4 .
moreover , findings of the present study suggest that this recommended timetable may be insufficient for timely identification of cognitive delay in socioeconomically disadvantaged populations .
in addition to standardized testing , evidence suggests that systematically eliciting and evaluating parental concerns about their children s developmental progress at each well - child care visit is a highly beneficial component of surveillance .
results of the present study also underscore the importance of strategies to facilitate cognitive development . in reviewing
the evidence base for primary health care services to promote early child development , regalado and halfon   found support for the efficacy of anticipatory guidance encouraging positive parent - child contact through education about children s normal social development and emphasizing the importance of responsive reciprocal interactions .
the incorporation in pediatric practices of structured programs such as reach out and read that facilitate interactive reading among parents and children have also been found to increase children s cognitive and language test scores [ 58 , 59 ] .
pediatric practitioners can also stress the importance of high quality child care in promoting child development , and provide information to parents about the components of quality programs .
gestational and birth information comes from birth certificates , which although widely used may contain erroneous information , especially concerning complications of pregnancy and delivery , prenatal substance use , and congenital abnormalities ( some of which may not be recognized until after the newborn period ) .
this was because the standardized cognitive assessment included in the ecls - b at 24  months , the short form research version of the bayley assessment , was not age - appropriate for administration to 48  month olds . in its place ,
the designers of the ecls - b administered age - appropriate tests of early literacy , mathematics , color knowledge , and receptive vocabulary at 48  months .
although we can not directly assess how use of different assessments at the two time points may have influenced the results , our strategy of specifying a cutoff of the 10th percentile of standardized score to identify delay has been used in other research , and it is reassuring that tests of alternative 5 and 15 percentile cutoff values yielded similar patterns of results . in conclusion , this study underscores the dynamic nature of cognitive developmental progress from 24 to 48  months of age .
although low birthweight increases the risk of cognitive delay , especially at 24  months , socioeconomic disadvantage is more common in the pediatric population and is by far a much stronger predictor of persistent as well as emerging delay .
comprehensive developmental screening in pediatric practice is needed , especially in low - income subpopulations , to identify children who are experiencing delays and initiate ameliorative action .
 the objective of this paper is to examine patterns of cognitive delay at 24 and 48 months and quantify the effects of perinatal and sociodemographic risk factors on persistent and variable cognitive delay . using data from 7,200 children in the early childhood longitudinal study , birth cohort ( ecls - b ) , multiple logistic regression models identified significant predictors of low cognitive functioning at 24 and 48  months . 
 additional multiple logistic models predicting cognitive delay at 48  months were estimated separately for children with and without delay at 24  months . 
 of the nearly 1,000 children delayed at 24  months , 24.2% remained delayed by 48  months ; 7.9% of the children not delayed at 24  months exhibited delay at 48  months . 
 low and very low birthweight increased cognitive delay risk at 24 , but not 48  months . 
 low maternal education had a strongly increasing effect ( or  =  2.3 at 24  months , or  =  13.7 at 48  months ) , as did low family income ( or  =  1.4 at 24  months , or  =  7.0 at 48  months ) . among children delayed at 24  months , 
 low maternal education predicted delay even more strongly at 48  months ( or  =  30.5 ) . 
 low cognitive functioning is highly dynamic from 24 to 48  months . 
 although gestational factors including low birthweight increase children s risk of cognitive delay at 24  months , low maternal education and family income are more prevalent in the pediatric population and are much stronger predictors of both persistent and emerging delay between ages 24 and 48  months . 
Methods
Data and Sample
Measures
Low Cognitive Functioning
Predictor Variables of Interest
Analyses
Results
Discussion