[Skip to Navigation]
Sign In
May 2010

Enduring Effects of Prenatal and Infancy Home Visiting by Nurses on Children: Follow-up of a Randomized Trial Among Children at Age 12 Years

Author Affiliations

Author Affiliations: School of Nursing, University of Rochester, Rochester, New York (Drs Kitzman and Cole and Ms Anson); Department of Pediatrics, Anschutz Medical Campus, University of Colorado Denver, Aurora (Drs Olds and Holmberg and Mr Knudtson); Louise Herrington School of Nursing, Baylor University, Dallas, Texas (Dr Hanks); College of Nursing and Health Innovation, Arizona State University, Phoenix (Dr Arcoleo); Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver (Dr Luckey); and Department of Human Development, Cornell University, Ithaca, New York (Mr Henderson).

Arch Pediatr Adolesc Med. 2010;164(5):412-418. doi:10.1001/archpediatrics.2010.76

Objective  To test the effect of prenatal and infancy home visits by nurses on 12-year-old, firstborn children's use of substances, behavioral adjustment, and academic achievement.

Design  Randomized controlled trial.

Setting  Public system of obstetric and pediatric care in Memphis, Tennessee.

Participants  We studied 12-year-old, firstborn children (n = 613) of primarily African American, economically disadvantaged women (743 randomized during pregnancy).

Intervention  Program of prenatal and infancy home visits by nurses.

Outcome Measures  Use of cigarettes, alcohol, and marijuana; internalizing, externalizing, and total behavioral problems; and academic achievement.

Results  By the time the firstborn child was 12 years of age, those visited by nurses, compared with those in the control group, reported fewer days of having used cigarettes, alcohol, and marijuana during the 30-day period before the 12-year interview (0.03 vs 0.18, P = .02) and were less likely to report having internalizing disorders that met the borderline or clinical threshold (22.1% vs 30.9%, P = .04). Nurse-visited children born to mothers with low psychological resources, compared with their control group counterparts, scored higher on the Peabody Individual Achievement Tests in reading and math (88.78 vs 85.70, P = .009) and, during their first 6 years of education, scored higher on group-administered standardized tests of math and reading achievement (40.52 vs 34.85, P = .02). No statistically significant program effects were found on children's externalizing or total behavioral problems.

Conclusions  Through age 12, the program reduced children's use of substances and internalizing mental health problems and improved the academic achievement of children born to mothers with low psychological resources.

Trial Registration  clinicaltrials.gov Identifier: NCT00438165

Home visiting by nurses for low-income, at-risk families has been promoted as a means of preventing child abuse and neglect, children's mental health problems, and adolescent crime.1-3 Much of this interest has stemmed from an adolescent (age 15 years) follow-up of mothers and children enrolled in the first trial of the Nurse-Family Partnership (NFP) in Elmira, New York,4,5 with a primarily low-income, white sample.4,5 We have been conducting a replication trial of the NFP with low-income African Americans living in a major urban area6-9; the present study examines the effect of the NFP with this sample at a child age of 12 years. This report focuses on the functioning of the children, and a companion report10 focuses on maternal life course. We hypothesized that the effect of the program on child outcomes would be greater for children born to mothers who had few psychological resources to manage living in poverty and caring well for their children.11


We conducted a randomized controlled trial of the NFP in a public system of obstetric and pediatric care in Memphis, Tennessee, with registration of the original sample completed from June 1, 1990, through August 31, 1991. A total of 1139 of the 1290 eligible women (88.3%) completed informed consent forms and were randomized to a treatment or control group. We describe only those participants who were involved in the postnatal aspect of the trial (N = 743).6 Given the high rates of access to the study population for recruitment and of participant acceptance and retention, the study can be considered an effectiveness trial from the perspective of enrolling and retaining the target population.

We enrolled primarily African American women at less than 29 weeks of gestation, with no previous live births, and with at least 2 of the following sociodemographic risk characteristics: unmarried, less than 12 years of education, and unemployed. Sample size and assignment ratios were derived from statistical power calculations conducted for outcomes in the original phases of the trial. Of the women enrolled, 92.1% were African American, 98.1% were unmarried, 64.1% were 18 years or younger at registration, and 85.1% came from households with annual incomes below the US federal poverty guidelines. We randomly assigned participants to receive nurse home visits (n = 228) or comparison (control group) services (n = 515) using a procedure that concealed randomization from individuals directly involved with study participants.6

In the current phase of follow-up after the child's 12th birthday (mean [SD] age, 12.95 [0.45] years), we conducted interviews with mothers (or guardians) and children, assessed children's sustained attention and academic achievement, abstracted data from children's school records, and obtained teachers' reports of children's behavior. Table 1 gives the numbers of participants (1) randomized to the 2 conditions in which follow-up was conducted after the child's birth, (2) lost to follow-up because of death or maternal refusal to participate at earlier phases, and (3) evaluated with parent interviews, child assessments, and reviews of school and state administrative records.

Table 1. 
Sample Composition Over Time by Treatment
Sample Composition Over Time by Treatment

Treatment conditions

Women in the control group were provided free transportation for scheduled prenatal care plus developmental screening and referral for the child at 6, 12, and 24 months of age. Women in the nurse-visited group were provided the same services as those in the control group, plus prenatal, infancy, and child home visitation through the child's second birthday.

The nurses followed detailed visit-by-visit guidelines but adapted them to the needs of individual families in their efforts to (1) improve the outcomes of pregnancy by promoting women's prenatal health behaviors, (2) improve the health and development of the child by promoting parents' competent care of their children, and (3) enhance parents' life-course development by encouraging parents to plan subsequent pregnancies, complete their education, and find work. The nurses helped families make use of needed health and human services and attempted to involve other family members and friends (particularly the children's fathers and grandmothers) in the pregnancy, birth, and early care of the child.

The program was conducted by the Memphis/Shelby County Health Department during a nursing shortage in which some nurses left the program before the intervention was completed (37% of the visited families had discontinuity in nurse visitors).6,11,12 The nurses visited a maximum of 25 families each and completed a mean of 7 home visits (range, 0-18) during pregnancy and 26 home visits (range, 0-71) during the first 2 years after birth. This represents approximately 50% of the 62 visits included in the program, assuming women register at 16 weeks of gestation. The difference between recommended and completed visits is explained mostly by participant attrition from the program. The study is thus similar to an effectiveness trial from the standpoint of program implementation. The relationship between program implementation and early outcomes has been reported.13,14

Data gathering and child outcomes

Interviews and assessments of the children were conducted by staff members masked to women's and children's treatment assignments. Variables were constructed without reference to this information.

Child outcomes were derived from tests of children's academic achievement and attention, interviews with children and parents, reviews of children's school records, and teachers' ratings of child behavior. Data for this report were derived primarily from the intake6 and 12-year assessments, although data from previous assessments7-9 also were used to create longitudinal data sets for examination of program effects over time.

Primary outcomes were those that either were significant in other trials of the NFP with participants of similar ages or had been significant at earlier phases of the current trial. Secondary outcomes are presented elsewhere.15 The primary outcomes follow:

  • Use of cigarettes, alcohol, and marijuana was assessed by interview for the 30-day interval preceding the 12-year interview: any substance use (yes or no), count of substances used (0-3), and count of days of substance use (theoretical range, 0-90).

  • Reading and math achievement using the Peabody Individual Achievement Tests (PIATs).16

  • Reading and math end-of-year grade point averages (GPAs) in grades 1 through 6 (score range, 0-4).

  • Reading and math achievement derived from the Tennessee Comprehensive Assessment Program17 test scores (percentiles) for grades 1 through 6.

  • Externalizing and total behavioral problems.18 We scored parents’, teachers’, and children's reports. Externalizing problems (eg, aggression and breaking rules) and total problems (eg, externalizing, internalizing, and other maladaptive behaviors) were scored as positive whenever at least 2 of the 3 reporters gave the children a score in the borderline or clinical range.

  • Internalizing problems.18 We relied on children's self-report in defining internalizing problems (eg, anxiety and depression) because parents and teachers are less likely to observe children's internal emotional states accurately. We classified as positive those scores that crossed the borderline or clinical threshold.

  • Arrests reported by the age of 12 years using maternal and child report.

Four outcomes reported here do not meet the definition of a primary outcome:

  • Special-education placement in grades 1 through 6 (yes or no) abstracted from school records.

  • Grade retention in grades 1 through 6 (yes or no) abstracted from school records.

  • Conduct grades abstracted from children's school records, scored from 1 (unsatisfactory) to 4 (honors).

  • Sustained attention, using the Leiter-R Sustained Attention test.19

Statistical models and methods of analysis

Statistical analyses were conducted with all mothers randomized, insofar as outcome data were available. The core statistical model consisted of a 2-level treatment factor, a 2-level factor reflecting mothers' psychological resources (above vs below the sample median), a 2-level factor for the child's sex, all interactions among these 3 factors, and 2 covariates (household poverty and maternal child rearing attitudes associated with child maltreatment). Estimates and tests were adjusted for all covariates. We analyzed pared-down models when data were sparsely distributed.

For quantitative outcomes on which we had multiple assessments for each child (eg, GPAs), we analyzed mixed models that included, in addition to the variables from the primary model, children as levels of a random factor, a fixed repeated-measures classification factor for time of assessment, and all interactions of time with the other fixed classification factors. For school performance outcomes (eg, GPAs), grade level was the repeated measure over time. When more than 1 subject area was analyzed jointly, the model included an additional repeated-measures factor for area (ie, math vs reading).

Continuous dependent variables were analyzed in the general linear model and dichotomous outcomes in the logistic linear model. For low-frequency count outcomes (eg, counts of substances children used), we analyzed the data in generalized linear models with negative binomial error assumptions.

The key tests focused on the treatment effect averaged over all other fixed classification variables, including those within subjects, and the same treatment effect restricted to the group defined by low psychological resources. The tables show the means over time, which also are averaged over other fixed classification effects. We report results averaged for the entire period for which we have data and the interval between 10 and 12 years (grades 4-6) of the first child's life because the 10- to 12-year period reflects the time covered by this phase of follow-up. We show results for the entire period for which we have data because this allows a more complete examination of the full longitudinal effects of the program on outcomes.

We present outcomes as treatment main effects and effects for the group defined by mothers with low psychological resources. The text includes estimates of effect size (ES) for continuous outcomes (mean differences divided by pooled SDs) to facilitate comparison of intervention effects with different outcome measures and in different trials.


Baseline equivalence of treatment groups

The treatment groups were similar with regard to background characteristics for those participants with whom 12-year follow-up assessments were conducted (Table 2), with the following exceptions: at intake, nurse-visited women, compared with control individuals, lived in households with less discretionary income, higher person-per-room density, and higher scores on the household poverty index. They also had higher scores with regard to child rearing attitudes associated with child maltreatment.

Table 2. 
Background Characteristics of Those Participants for Whom 12-Year Assessments Were Completed
Background Characteristics of Those Participants for Whom 12-Year Assessments Were Completed

Child outcomes

In the 30-day period preceding the 12-year interview, as indicated in Table 3, nurse-visited children, compared with controls, were less likely to have used cigarettes, alcohol, or marijuana (odds ratio, 0.31; P = .04), to have used fewer of these substances (incidence ratio, 0.22; P = .02) and to have used these substances for fewer days (incidence ratio, 0.15; P = .02). As indicated in Table 4, nurse-visited children reported fewer internalizing disorders than did children in the control group (odds ratio, 0.63; P = .04).

Table 3. 
Adjusted Estimates of Program Effects on Children's Emergent Use of Substances
Adjusted Estimates of Program Effects on Children's Emergent Use of Substances
Table 4. 
Adjusted Estimates of Program Effects on Children's Behavior and Mental Health
Adjusted Estimates of Program Effects on Children's Behavior and Mental Health

Table 5 indicates that nurse-visited children born to low-resource mothers had higher PIAT scores in reading and math at age 12 (ES, 0.25; P = .009), higher GPAs and group-based achievement test scores in reading and math in grades 1 through 6 (ES, 0.18; P = .03 and ES, 0.22; P = .02, respectively), and higher GPAs in reading and math in grades 4 through 6 (ES, 0.18; P = .047). No statistically significant program effects were found on children's sustained attention, externalizing or total behavioral problems, or conduct grades.

Table 5. 
Adjusted Estimates of Program Effects on Children's Academic Performance
Adjusted Estimates of Program Effects on Children's Academic Performance


The program effect on early-starting substance use is important despite the infrequency of its occurrence because early initiation of substance use increases the risk of later health problems, including substance use disorders, risky sexual behavior, suicide, psychopathological disorders, and violence.21-23 The program effect on internalizing disorders is important because early-onset internalizing disorders are risk factors for mood disorders24 and use of addictive substances.25,26 Among urban African American adolescents, symptoms of depression increase risk of violence.27

As in other studies,28 internalizing disorders and substance use were strongly associated (P < .001). Of the controls who reported using substances, 60.0% also reported having internalizing disorders in the borderline or clinical range, and among those with internalizing disorders, substance use was 3 times higher (9.5%) than among those without internalizing disorders (3.0%). These overlapping phenotypes (especially for children who use substances early in life) point to shared developmental risks and increased likelihood of later psychopathological disorders and antisocial behavior.29-31

Since the earliest phases of follow-up in this trial, we have found that controls born to mothers with low psychological resources were compromised in a variety of ways and many of the effects of the program on child outcomes were greater for children born to lower-resource mothers.6,8,9,11 Consistent with earlier phases of follow-up and with children's cognitive and language outcomes in a third trial of the NFP in Denver, Colorado,32,33 nurse-visited children born to low-resource mothers in the Memphis trial had higher GPAs and group achievement test scores in reading and math in the first 6 years of school. They also had higher PIAT scores in reading and math at the age of 12 years than did their control group counterparts. The larger program effects observed for direct tests of children's achievement (ES, 0.25 in SD units for the PIAT; ES, 0.22 for the Tennessee Comprehensive Assessment Program) than with GPAs (ES, 0.18) suggest that GPAs are less reliable measures of reading and math skills than standardized tests. Overall, these results suggest that nurses were able to improve low-resource mothers' care of their children and help them reduce their children's exposure to damaging early experiences in this especially high-risk group.11 The implications of these findings for children's long-term functioning have yet to be determined.

We conducted analyses to help us understand why treatment effects on special education and grade retention were not consistent with our hypotheses. Given that these outcomes are affected in part by parental awareness of their children's needs and advocacy for them, we wondered whether nurse-visited parents might have observed their children's developmental needs and advocated for them at lower thresholds of severity than their control group counterparts. In support of this interpretation, nurse-visited children in special education and those who had been retained, as trends, had higher PIAT scores at age 12 than did their control group counterparts (78.00 vs 73.10; ES, 0.40; P = .06 and 83.78 vs 80.79; ES, 0.29; P = .06, respectively). The point estimates of these differences, although relatively large, were imprecise because of small sample sizes.

There were 2 unexpected subgroup effects for special education placement and grade retention. Among girls born to high-resource mothers, those in the control group had lower rates of special education placement than their nurse-visited counterparts (2.5% vs 16.7%, P = .01), and among children born to high-resource mothers irrespective of sex, those in the control group had lower rates of retention than did those born to nurse-visited mothers (15.4% vs 27.5%, P = .04). We examined baseline differences in background characteristics for these subgroups and found that the treatment-control difference in household poverty at registration during women's pregnancies favored the control group and was particularly pronounced. Our current judgment is that these differences are owing to chance.

The positive findings from this phase of follow-up are encouraging but must be interpreted in light of their limitations. One of these is that the program effect on achievement was present among children born to low-resource but not high-resource mothers. Given that academic achievement effects were predicted to be more pronounced for children born to low-resource mothers and that this pattern of program effects is consistent across trials and populations,11,32,33 such concerns are mitigated. In addition, some of the effects of the program were based on self-report (eg, use of substances and internalizing disorders). The reports of these behaviors were associated in predictable ways with other behaviors, however, which supports their validity. Moreover, we examined several correlated outcomes within some domains, such as children's substance use and academic achievement. These measures are not separate outcomes so much as different aspects of the same finding. Finally, we examined a number of outcome domains and did not make statistical adjustments for multiple comparisons. Our primary criterion for determining the significance of any single finding, given the extraordinarily large sample sizes required to examine multiple outcome domains in single trials, is replication across trials that sample different populations.34,35 In general, the effects of the program on children's emergent use of substances, internalizing disorders, and academic achievement among those born to low-resource mothers support the hypothesis that the program will continue to affect children's health and behavior, as found in an earlier trial.5

Correspondence: David L. Olds, PhD, University of Colorado Denver, 13121 E 17th Ave, Mailstop 8410, Aurora, CO 80045 (David.Olds@UCDenver.edu).

Accepted for Publication: December 2, 2009.

Author Contributions: Drs Kitzman, Olds, Cole, Arcoleo, Luckey, and Henderson had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Kitzman, Olds, Cole, Arcoleo, Henderson, and Holmberg. Acquisition of data: Kitzman, Cole, Hanks, Anson, and Arcoleo. Analysis and interpretation of data: Kitzman, Olds, Cole, Hanks, Anson, Arcoleo, Luckey, Knudtson, Henderson, and Holmberg. Drafting of the manuscript: Olds, Hanks, Anson, Arcoleo, and Henderson. Critical revision of the manuscript for important intellectual content: Kitzman, Olds, Cole, Hanks, Arcoleo, Luckey, Knudtson, Henderson, and Holmberg. Statistical analysis: Olds, Anson, Arcoleo, Luckey, Knudtson, and Henderson. Obtained funding: Kitzman, Olds, Cole, Arcoleo, and Henderson. Administrative, technical, and material support: Olds, Cole, Hanks, Anson, and Holmberg. Study supervision: Cole.

Financial Disclosure: The Prevention Research Center for Family and Child Health in the Department of Pediatrics at the University of Colorado School of Medicine is directed by Dr Olds. The Prevention Research Center for Family and Child Health has a contract with the Nurse-Family Partnership National Service Office to conduct research to improve the Nurse-Family Partnership program model and its implementation; this contract covers part of Dr Olds' salary.

Funding/Support: This project was supported by National Institutes of Health research grant 1R01MH68790-01 funded by the National Institute of Mental Health and the Office of Juvenile Justice and Delinquency Prevention grant 2004-52854-CO-JS0. The earlier phases of this study were supported by several federal agencies: the National Institute of Mental Health (grant R01-MH61428-01), the National Institute of Child Health and Human Development (grant R01-HD-043492), the National Institute of Nursing Research (grant NR01-01691-05), the Bureau of Maternal and Child Health (grant MCJ 360579), the Administration for Children and Families (grants 90PJ0003 and 90PD0215/01), and the Office of the Assistant Secretary for Planning and Evaluation (Department of Health and Human Services), and the National Center for Child Abuse and Neglect through a transfer of funds to the National Institute of Nursing Research (grant R01NR01691). The earlier phases of this research also were supported by 5 private foundations: the Robert Wood Johnson Foundation (grants 017934 and 11084), the Carnegie Corporation of New York (grant B 5492), the Pew Charitable Trusts (grants 88-0211-000 and 93-02363-000), the William T. Grant Foundation (grants 88-1246-88 and 91-1246-88), and the Hearst Foundation, as well as a Senior Research Scientist Award from the National Institutes of Health (1-K05-MH01382-01) (Dr Olds).

Additional Contributions: We thank Evelyn Collins, MS, and Evelyne Greer, MS, for their enduring commitment to tracing and engaging participants in this study, the administrators of the Memphis/Shelby County Health Department, the nurse home visitors, and the families who participated in the research.

MacMillan  HLWathen  CNBarlow  JFergusson  DMLeventhal  JMTaussig  JM Interventions to prevent child maltreatment and associated impairment.  Lancet 2009;373 (9659) 250- 266Google ScholarCrossref
US Department of Health and Human Services, Mental Health: A Report of the Surgeon General.  Rockville, MD US Dept of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, National Institutes of Health1999;
Greenwood  PWZimring  FE Changing Lives: Delinquency Prevention as Crime-Control Policy: Adolescent Development and Legal Policy.  Chicago, IL University of Chicago Press2006;
Olds  DLEckenrode  JHenderson  CR  Jr  et al.  Long-term effects of home visitation on maternal life course and child abuse and neglect: fifteen-year follow-up of a randomized trial.  JAMA 1997;278 (8) 637- 643PubMedGoogle ScholarCrossref
Olds  DHenderson  CR  JrCole  R  et al.  Long-term effects of nurse home visitation on children's criminal and antisocial behavior: 15-year follow-up of a randomized controlled trial.  JAMA 1998;280 (14) 1238- 1244PubMedGoogle ScholarCrossref
Kitzman  HOlds  DLHenderson  CR  Jr  et al.  Effect of prenatal and infancy home visitation by nurses on pregnancy outcomes, childhood injuries, and repeated childbearing: a randomized controlled trial.  JAMA 1997;278 (8) 644- 652PubMedGoogle ScholarCrossref
Kitzman  HOlds  DLSidora  K  et al.  Enduring effects of nurse home visitation on maternal life course: a 3-year follow-up of a randomized trial.  JAMA 2000;283 (15) 1983- 1989PubMedGoogle ScholarCrossref
Olds  DLKitzman  HCole  R  et al.  Effects of nurse home-visiting on maternal life course and child development: age 6 follow-up results of a randomized trial.  Pediatrics 2004;114 (6) 1550- 1559PubMedGoogle ScholarCrossref
Olds  DLKitzman  HHanks  C  et al.  Effects of nurse home visiting on maternal and child functioning: age-9 follow-up of a randomized trial.  Pediatrics 2007;120 (4) e832- e845http://pediatrics.aappublications.org/cgi/reprint/120/4/e832?ijkey=386fe47c009b9648e4253ac60fd1cdc07a2579c2. Accessed March 26, 2010.PubMedGoogle ScholarCrossref
Olds  DLKitzman  HJCole et al  RE Enduring effects of prenatal and infancy home visiting by nurses on maternal life course and government spending: follow-up of a randomized trial among children at age 12 years.  Arch Pediatr Adolesc Med 2010;164 (5) 419- 424Google Scholar
Olds  DL Prenatal and infancy home visiting by nurses: from randomized trials to community replication.  Prev Sci 2002;3 (3) 153- 172PubMedGoogle ScholarCrossref
Kitzman  HCole  RYoos  ROlds  DL Challenges experienced by home visitors: a qualitative study of program implementation.  J Community Psychol 1997;25 (1) 95- 109Google ScholarCrossref
Korfmacher  JKitzman  HOlds  DL Intervention processes as predictors of outcomes in a preventive home visitation program.  J Community Psychol 1998;26 (1) 49- 64Google ScholarCrossref
Olds  DKorfmacher  J Maternal psychological characteristics as influences on home visitation contact.  J Community Psychol 1998;26 (1) 23- 36Google ScholarCrossref
Olds  DLKitzman  HCole  R  et al.  Enduring Effects of Prenatal and Infancy Home Visiting by Nurses on Mothers and Children: Age-12 Follow-up of a Randomized Trial: Final Report to NIMH.  Rochester, NY University of Rochester2008;
Markwardt  FC Peabody Individual Achievement Test-Revised.  Circle Pines, MN American Guidance Service Inc1998;
 State of Tennessee Department of Education Educators' Guide to Understanding TCAP Achievement Test Results.  Monterey, CA CTB/McGraw-Hill LLC2004;
Achenbach  TMRescorla  LA Manual for ASEBA School-Age Forms & Profiles.  Burlington University of Vermont, Research Center for Children, Youth, & Families2001;
Roid  GHMiller  LJ Leiter International Performance Scale–Revised: Examiner's Manual.  Wood Dale, IL Stoelting Co1997;
Sampson  RJRaudenbush  SWEarls  F Neighborhoods and violent crime: a multilevel study of collective efficacy.  Science 1997;277 (5328) 918- 924PubMedGoogle ScholarCrossref
DuRant  RHSmith  JAKreiter  SRKrowchuk  DP The relationship between early age of onset of initial substance use and engaging in multiple health risk behaviors among young adolescents.  Arch Pediatr Adolesc Med 1999;153 (3) 286- 291PubMedGoogle Scholar
Stueve  AO’Donnell  LN Early alcohol initiation and subsequent sexual and alcohol risk behaviors among urban youths.  Am J Public Health 2005;95 (5) 887- 893PubMedGoogle ScholarCrossref
Swahn  MHBossarte  RMSullivent  EE  III Age of alcohol use initiation, suicidal behavior, and peer and dating violence victimization and perpetration among high-risk, seventh-grade adolescents.  Pediatrics 2008;121 (2) 297- 305PubMedGoogle ScholarCrossref
Roza  SJHofstra  MBvan der Ende  JVerhulst  FC Stable prediction of mood and anxiety disorders based on behavioral and emotional problems in childhood: a 14-year follow-up during childhood, adolescence, and young adulthood.  Am J Psychiatry 2003;160 (12) 2116- 2121PubMedGoogle ScholarCrossref
Wang  MQFitzhugh  ECWesterfield  RCEddy  JM Predicting smoking status by symptoms of depression for US adolescents.  Psychol Rep 1994;75 (2) 911- 914PubMedGoogle ScholarCrossref
Sihvola  ERose  RJDick  DMPulkkinen  LMarttunen  MKaprio  J Early-onset depressive disorders predict the use of addictive substances in adolescence: a prospective study of adolescent Finnish twins.  Addiction 2008;103 (12) 2045- 2053PubMedGoogle ScholarCrossref
DuRant  RHCadenhead  CPendergrast  RASlavens  GLinder  CW Factors associated with the use of violence among urban black adolescents.  Am J Public Health 1994;84 (4) 612- 617PubMedGoogle ScholarCrossref
Kelder  SHMurray  NGOrpinas  P  et al.  Depression and substance use in minority middle-school students.  Am J Public Health 2001;91 (5) 761- 766PubMedGoogle ScholarCrossref
Zucker  RADonovan  JEMasten  ASMattson  MEMoss  HB Early developmental processes and the continuity of risk for underage drinking and problem drinking.  Pediatrics 2008;121 (4) ((suppl 4)) S252- S272PubMedGoogle ScholarCrossref
Wu  PBird  HRLiu  X  et al.  Childhood depressive symptoms and early onset of alcohol use.  Pediatrics 2006;118 (5) 1907- 1915PubMedGoogle ScholarCrossref
Rothman  EFEdwards  EMHeeren  THingson  RW Adverse childhood experiences predict earlier age of drinking onset: results from a representative US sample of current or former drinkers.  Pediatrics 2008;122 (2) e298- e304http://pediatrics.aappublications.org/cgi/reprint/122/2/e298. Accessed March 26, 2010.PubMedGoogle ScholarCrossref
Olds  DLRobinson  JO’Brien  R  et al.  Home visiting by paraprofessionals and by nurses: a randomized, controlled trial.  Pediatrics 2002;110 (3) 486- 496PubMedGoogle ScholarCrossref
Olds  DLRobinson  JPettitt  L  et al.  Effects of home visits by paraprofessionals and by nurses: age 4 follow-up results of a randomized trial.  Pediatrics 2004;114 (6) 1560- 1568PubMedGoogle ScholarCrossref
Olds  DLLuckey  DHenderson  C Can the results be believed? in reply.  Pediatrics 2005;115 (4) 1113- 1114Google ScholarCrossref
Olds  DL In support of disciplined passion.  J Exp Criminol 2009;5 (2) 201- 214Google ScholarCrossref