Skip to main content

Advertising Disclaimer »

Main menu

  • Journals
    • Pediatrics
    • Hospital Pediatrics
    • Pediatrics in Review
    • NeoReviews
    • AAP Grand Rounds
    • AAP News
  • Authors/Reviewers
    • Submit Manuscript
    • Author Guidelines
    • Reviewer Guidelines
    • Open Access
    • Editorial Policies
  • Content
    • Current Issue
    • Online First
    • Archive
    • Blogs
    • Topic/Program Collections
    • AAP Meeting Abstracts
  • Pediatric Collections
    • COVID-19
    • Racism and Its Effects on Pediatric Health
    • More Collections...
  • AAP Policy
  • Supplements
    • Supplements
    • Publish Supplement
  • Multimedia
    • Video Abstracts
    • Pediatrics On Call Podcast
  • Subscribe
  • Alerts
  • Careers
  • Other Publications
    • American Academy of Pediatrics

User menu

  • Log in
  • My Cart

Search

  • Advanced search
American Academy of Pediatrics

AAP Gateway

Advanced Search

AAP Logo

  • Log in
  • My Cart
  • Journals
    • Pediatrics
    • Hospital Pediatrics
    • Pediatrics in Review
    • NeoReviews
    • AAP Grand Rounds
    • AAP News
  • Authors/Reviewers
    • Submit Manuscript
    • Author Guidelines
    • Reviewer Guidelines
    • Open Access
    • Editorial Policies
  • Content
    • Current Issue
    • Online First
    • Archive
    • Blogs
    • Topic/Program Collections
    • AAP Meeting Abstracts
  • Pediatric Collections
    • COVID-19
    • Racism and Its Effects on Pediatric Health
    • More Collections...
  • AAP Policy
  • Supplements
    • Supplements
    • Publish Supplement
  • Multimedia
    • Video Abstracts
    • Pediatrics On Call Podcast
  • Subscribe
  • Alerts
  • Careers

Discover Pediatric Collections on COVID-19 and Racism and Its Effects on Pediatric Health

American Academy of Pediatrics
Review Article

Preterm Birth/Low Birth Weight and Markers Reflective of Wealth in Adulthood: A Meta-analysis

Ayten Bilgin, Marina Mendonca and Dieter Wolke
Pediatrics July 2018, 142 (1) e20173625; DOI: https://doi.org/10.1542/peds.2017-3625
Ayten Bilgin
aDepartment of Psychology, University of Warwick, Coventry, United Kingdom; and
bDepartment of Psychology, Istanbul Medeniyet University, Istanbul, Turkey
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marina Mendonca
aDepartment of Psychology, University of Warwick, Coventry, United Kingdom; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dieter Wolke
aDepartment of Psychology, University of Warwick, Coventry, United Kingdom; and
cDivision of Mental Health and Wellbeing, Warwick Medical School and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Comments
Loading
Download PDF

Abstract

CONTEXT: Preterm birth and/or low birth weight (PT/LBW) increases the risk of cognitive deficits, which suggests an association between PT/LBW and lower wealth in adulthood. Nevertheless, studies have revealed inconsistent findings so far.

OBJECTIVE: To systematically investigate whether PT/LBW is associated with markers of adulthood wealth.

DATA SOURCES: We searched Medline, PubMed, PsycINFO, Web of Science, and Embase.

STUDY SELECTION: Prospective longitudinal and registry studies containing reports on selected wealth-related outcomes in PT/LBW-born adults compared with term-born controls.

DATA EXTRACTION: Two independent reviewers extracted data on educational qualifications, employment rates, social benefits, and independent living.

RESULTS: Of 1347 articles screened, 23 studies met the inclusion criteria. PT/LBW was associated with decreased likelihood of attainment of higher education qualifications (odds ratio [OR] = 0.74; 95% confidence interval [CI] = 0.69–0.80), lower employment rate (OR = 0.83; 95% CI = 0.74–0.92), and increased likelihood of receiving social benefits (OR = 1.25; 95% CI = 1.09–1.42). A dose-response relationship according to gestational age was only found for education qualifications. PT/LBW-born adults did not differ significantly from those born at term in independent living.

LIMITATIONS: There was high heterogeneity between studies. There were unequal numbers of studies from different regions in the world.

CONCLUSIONS: PT/LBW is associated with lower educational qualifications, decreased rate of employment, and an increased rate of receipt of social benefits in adulthood. Low educational qualifications were most prevalent in those born very preterm and consistent across geographic regions. However, the findings are less clear for independent living.

  • Abbreviations:
    CI —
    confidence interval
    LBW —
    low birth weight
    MLPT —
    moderate-to-late preterm
    OR —
    odds ratio
    PT/LBW —
    preterm birth and/or low birth weight
    VLBW —
    very low birth weight
    VPT —
    very preterm
  • Approximately 11.1% of children are born preterm (<37 weeks’ gestation) worldwide, and 8.6% of all children born preterm are born in developed countries.1 Improvements in neonatal care, such as the use of assisted ventilation, the introduction of advanced technology2,3 and changing attitudes toward intensive care4 have resulted in marked increases in the survival rate of preterm infants. Across the lifespan, preterm birth is associated with an increased risk of disability,5,6 neurocognitive impairment,7–10 learning difficulties,7,10 and mental health problems,11–13 and the association is stronger in those who were born very preterm (VPT).7,14,15 Generally, disability, neurocognitive impairment, and mental health disorders in childhood and early adulthood have been associated with markers of reduced wealth such as attainment of poorer educational qualifications, lower employment, and increased receipt of social benefits in young adults in adulthood.16

    Large, registry-based studies from Scandinavian countries have contained further documentation that preterm birth may not be only associated with adverse functional outcome but with a decrease in markers of wealth across adulthood, such as lower levels of education and lower rates of employment, education, and independent living and higher rates of receiving social security benefits compared with those born at term.15,17–20 This would suggest that apart from increased health care costs,21 there may be long-term adverse effects on individual wealth and social cost for society. In contrast, few prospective cohort studies have included adult wealth-related outcomes after preterm birth, and inconsistent findings have been produced in these studies.6,22–25 For example, the results from a cohort study of Canadian extremely low birth weight (LBW) infants revealed no significant differences in the years of education between those born preterm and those born at term,6,24,25 whereas the results of other studies from the United Kingdom and United States revealed that preterm birth was associated with a decrease in educational qualifications.22,23 Regarding employment, Saigal et al6,25 found similar rates among those born preterm and those born at term in young adulthood, although those born at an extremely LBW were less likely to be employed in middle adulthood. Thus, there are variations in findings, and differences in markers of wealth may depend on the degree of prematurity, region in the world, study design, or length of follow-up.

    Our aim in this study was to systematically investigate if preterm birth and/or low birth weight (PT/LBW) is associated with a decrease in markers of wealth in adulthood as assessed through educational qualifications attained, employment rate, receiving social benefits, and independent living, while assessing whether there is a dose-response effect according to gestational age at birth (VPT: <32 weeks’ gestation or moderate-to-late preterm [MLPT]: 32–36 weeks’ gestation at birth), moderation by geographical region (Europe, North America, and Australasia), study type (registry or cohort), and assessment age (middle or young adulthood).

    Methods

    This meta-analysis was registered with the PROSPERO International prospective register of systematic reviews with the following number: CRD42017064788. This meta-analysis was conducted in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.26

    Study Selection Criteria

    Prospective longitudinal and registry studies were eligible for this meta-analysis. Studies were included in the analysis according to 5 criteria. First, articles should contain reports on at least 1 of the following variables assessing wealth: higher education qualifications (postsecondary education [ie, qualifications you can attain at a university or other higher education institutions]), employment (full-time or part-time employment), receiving social benefits (government social welfare subsidies), and independent living (not living in parents’ house). Second, studies had to include a term healthy control group. Third, studies had to include participants with a mean age of ≥18 years at the time of outcome assessment. Fourth, enough statistical information (means, SDs, frequencies) should be reported in the articles or provided by authors after contacting them to enable computing effect sizes. Last, the articles had to be in either English or in German. Studies not fulfilling these criteria were excluded (Fig 1).

    FIGURE 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1

    Flow diagram.

    Search Strategy

    A literature search was conducted for longitudinal studies of markers of wealth in adults who were born preterm (<37 weeks’ gestation) or LBW (<2500 g at birth), published between January 1980 and May 2017. The article search was finalized on May 15, 2017. The following electronic databases were searched: Medline, PubMed, PsycINFO, Web of Science, and Embase. The keywords used were as follows: (preterm OR low birth weight OR prematur*) AND (socioeconomic status OR wealth OR employment OR academic OR education OR benefits OR independent) AND (adult*).

    The Medline search yielded 248 articles, PubMed yielded 324 articles, PsycINFO yielded 106 articles, Web of Science yielded 357 articles, and Embase yielded 307 articles. Furthermore, 5 articles were found from bibliography search. Overall, 1347 articles were included in the literature search. In total, 317 duplicates were removed from the search. Overall, the final literature search included 1030 articles (see Fig 1). After the title screening, 196 articles were left for abstract screening. In total, 139 articles were excluded on the basis of the abstract only. We reviewed the full text of the remaining 57 articles according to the inclusion criteria, and 34 articles were excluded. In some cases, multiple reports were published on the same cohort assessed at different time periods in adulthood.6,24,27 To avoid inappropriate double-counting of participants that may have influenced study weighting, only 1 study was included in any meta-analysis. When a choice was required, those studies with the best profile (for example, the largest sample sizes and the broadest concept coverage) were selected for inclusion in meta-analysis. Nevertheless, 2 studies6,25 were included from the same Canadian sample since Saigal et al25 reported on independent living, which was not available in the largest sample size study from the same cohort.6 Moreover, the authors of 1 study reported on 2 samples22 resulting in a total of 23 articles with 23 samples being included in the meta-analysis (Table 1). The article selection process was performed by AB and MM independently. The overall agreement in the selection of articles according to the predefined criteria was Cohen’s κ 0.84 at the abstract selection stage and 0.90 at the full-text retrieval stage. The discrepancies in 4 articles were discussed and mutually resolved by the coders and D.W.

    View this table:
    • View inline
    • View popup
    TABLE 1

    Summary of the Studies Included in the Analysis of Wealth in Adulthood After PT/LBW (≥18 Years)

    Quality Assessment

    The Newcastle-Ottawa Scale42 was used to assess the quality of studies referring to selection, comparability, and outcome or exposure for cohort studies (see Supplemental Table 4). Scores in this scale could range from 0 to 9, with higher scores indicating higher quality. Studies were rated by 2 independent coders, and agreement for the overall rating for each study was found to be high (κ = 0.86). The overall ratings of the studies ranged from 6 to 9 (mean = 7.5; SD = 0.7), indicating overall high quality.

    Data Extraction

    Eligible studies were reviewed to extract the wealth data. When available, information on the comparison of PT/LBW and term groups was extracted directly from the article. Authors that reported on LBW and preterm birth were grouped into the same category because infants with LBW were mostly also born preterm. Data were provided in studies in different formats: sample size with means and SDs, or frequencies. When any of this information was unavailable, it was requested from the authors. In cases in which the researchers reported the statistical information according to different gestational age subgroups,15,17,19,20 the data were combined into 3 groups by degree of prematurity: (1) VPT (<32 weeks), (2) MLPT (32–36 weeks), and (3) term (>36 weeks). Nevertheless, Männistö et al39 reported on an early preterm (<34 weeks) subgroup overlapping with MLPT subgroup. In this case, we excluded this statistical information from the analysis. Categorical information regarding the degree of prematurity (VPT or MLPT), geographical setting (Australasia, Europe, or North America), the type of study (cohort or registry), and assessment age in adulthood (young adulthood ≤30 years or middle adulthood >30 years) was extracted from the articles (Table 1). The categorization of these variables was completed by A.B. under the supervision of D.W., the senior author.

    Data Analysis

    Analysis was conducted with Comprehensive Meta-Analysis version 2 software.43 Mean effect sizes were calculated with the Comprehensive Meta-Analysis software when studies reported group differences at different time points. Because the eligible studies varied in many aspects, differences in the outcomes between PT/LBW and term adults were assessed by using random effects meta-analyses, an approach that assumes the studies included in the analyses are random samples from a larger population of studies and likely to exhibit different effect sizes.44 We calculated odds ratios (ORs) and their confidence intervals (CIs). Heterogeneity of studies was assessed with Cochran Q test and Higgins I2. Subgroup analyses were conducted with the following 4 variables: degree of prematurity, type of study, geographical setting, and assessment age in adulthood (young versus middle adulthood).

    Publication bias analysis was assessed by using 3 strategies. First, the trim and fill procedure was used to examine the symmetry of effect sizes plotted by the inverse of the SE.45 Ideally, the effect sizes should mirror one another on either side of the mean. Second, the Begg and Mazumdar46 rank correlation test was used to examine the likelihood of bias in favor of small sample size studies. Nonsignificance of correlation indicates no publication bias. Last, Egger et al47 examined with their test whether publication bias related to the direction of study findings. The intercept value provided by this test reveals the level of funnel plot asymmetry from the standard precision.

    In the current meta-analysis, we decided to combine preterm and LBW into 1 group. Because it was essential to demonstrate that the findings of the meta-analysis were not dependent on this decision, a sensitivity analysis was undertaken in which we repeated the analysis just for studies reported on preterm excluding the studies that contained reports on LBW only.

    Results

    The 23 samples and 23 studies of adulthood wealth-related outcomes represented a total of 5 917 101 participants, 271 767 of whom were born PT/LBW and 5 645 334 were born at term. Seven (30.4%) of the samples contained reports on birth weight, 15 (65.2%) contained reports on gestational age, and 1 study30 contained a report on both birth weight and gestational age. Sample sizes for the PT/LBW group ranged from 35 to 114 890 individuals; for the term group, the sample sizes ranged from 30 to 3 146 386 individuals. Mean birth weight was 1618.5 g (SD = 717.4) for PT/LBW participants and 3494.9 g (SD = 189.9) for term participants. The mean gestational age of the PT/LBW children was 30.4 weeks (SD = 2.8 weeks) compared with 39.6 weeks (SD = 1.1 weeks) for the term comparisons. The age of participants at assessment ranged from 18 to 66 years. Ten (43.8%) of the samples included participants ≤29 years and the other 13 (56.2%) samples included participants >29 years. Eighteen of the studies contained reports on higher education qualifications, 15 contained reports on employment, 7 contained reports on receiving social benefits, and 6 contained reports on independent living. The majority of the studies were from Europe (N = 17). There were few studies from North America (N = 4) and Australasia (N = 2) and no studies from elsewhere in the world. Of the articles included, 18 (78.3%) contained reports on a cohort sample, and the remaining 5 (21.7%) contained reports on registry samples.15,17

    Differences in Higher Education Qualifications Between Adults Born PT/LBW and at Term

    There was a significant negative association between PT/LBW and achievement of higher education qualifications (OR = 0.74; 95% CI = 0.69–0.80), indicating that preterm birth was associated with a decrease in the likelihood of completing education beyond high school (Table 2). Heterogeneity analysis indicated significant and high variation in education effects between studies (Q = 111.63; I2 = 85, P < .001). Subgroup analysis according to the degree of prematurity revealed a significant difference between the 2 groups (Q = 7.48; I2 = 86.6, P < .05) in which both VPT (OR = 0.60; 95% CI = 0.48–0.74) and MLPT (OR = 0.82; 95% CI = 0.78–0.85) decreased the likelihood of attainment of higher education qualifications (Supplemental Fig 2). Comparison of the region of the studies indicated that in all 3 regions, (Australasia [OR = 0.59; 95% CI = 0.26–1.32], Europe [OR = 0.76; 95% CI = 0.71–-0.82], and North America [OR = 0.66; 95% CI = 0.49–-0.90]) preterm birth decreased the likelihood of achieving higher education qualifications in adulthood (Supplemental Fig 3). This association was significant in both cohort and registry studies, respectively (OR = 0.59; 95% CI = 0.48–0.74 and OR = 0.79; 95% CI = 0.74–0.85). When comparing young and middle-aged adults, the PT/LBW group was less likely to achieve higher education qualifications compared with term group both in young adulthood (OR = 0.61; 95% CI = 0.49–0.77) and middle adulthood (OR = 0.77; 95% CI = 0.72–0.84).

    View this table:
    • View inline
    • View popup
    TABLE 2

    Associations Between PT/LBW and Higher Education Qualifications and Employment in Adulthood

    Differences in Employment Between Adults Born PT/LBW and at Term

    The combined OR of the employment rate was 0.83 (95% CI = 0.74–0.92; P < .001), indicating that preterm birth was associated with a decrease in the likelihood of being employed in adulthood (Table 2). Heterogeneity analysis indicated significant and high variation in employment effects between studies (Q = 144.45; I2 = 90, P < .001). Subgroup analysis revealed that both the VPT and MLPT groups (OR = 0.87; 95% CI = 0.76–0.99) were less likely to be employed in adulthood compared with the term group (OR = 0.81; 95% CI = 0.70–0.95), although there was no significant difference between the VPT and MLPT groups. In comparing the regions, studies from both Europe (OR = 0.84; 95% CI = 0.75–0.93) and North America (OR = 0.37; 95% CI = 0.15–0.93) revealed that the PT/LBW group had a decreased likelihood of employment in adulthood; nevertheless, this association was not significant in Australasia. There was a significant association between PT/LBW and employment in both cohort (OR = 0.76; 95% CI = 0.61–0.95) and registry studies (OR = 0.91; 95% CI = 0.86–0.97). When comparing young and middle-aged adults, those born PT/LBW were less likely to be employed compared with those born at term only in middle adulthood (OR = 0.76; 95% CI = 0.62–0.93).

    Differences in Social Benefits Between Adults Born PT/LBW and at Term

    There was a significant positive association between preterm birth and receiving social benefits (OR = 1.25; 95% CI = 1.09–1.42), suggesting that preterm birth was associated with an increase in the likelihood of receiving social benefits (Table 3). Heterogeneity analysis indicated significant and high variation in benefit usage effects between studies (Q = 148.92; I2 = 96, P < .001). Subgroup analysis according to degree of prematurity revealed that adults were more likely to receive benefits both in the VPT group (OR = 1.78; 95% CI = 1.09–2.91) and MLPT group (OR = 1.16; 95% CI = 1.14–1.19); however, the difference between the VPT and MLPT groups was not significant. In comparing the region of the studies, studies from both Australasia (OR = 2.67; 95% CI = 1.51–4.75 ) and Europe (OR = 1.20; 95% CI = 1.05–1.37) revealed that adults born PT/LBW were more likely to receive benefits in comparison with term born. No studies from North America contained reports on receiving benefits after preterm birth. In comparing the studies according to study type, preterm adults were more likely to receive benefits in both cohort (OR = 3.98; 95% CI = 1.39–11.37) and registry studies (OR = 1.18; 95% CI = 1.04–1.35) in comparison with term adults. When comparing young and middle-aged adults, those born PT/LBW were more likely to receive benefits compared with those born at term in both young adulthood (OR = 2.12; 95% CI = 1.00–4.48) and middle adulthood (OR = 1.14; 95% CI = 1.05–1.35).

    View this table:
    • View inline
    • View popup
    TABLE 3

    Associations Between PT/LBW and Benefits and Independent Living in Adulthood

    Differences in Independent Living Between Adults Born PT/LBW and at Term

    The combined mean OR of independent living was 0.78 (95% CI = 0.60–1.01), indicating no difference in independent living away from their parents between PT/LBW and term comparison adults (Table 3). Heterogeneity analysis indicated significant and high variation in independent living effects between studies (Q = 31.13; I2 = 80.72, P < .001). Subgroup analyses according to the degree of prematurity and region showed no significant difference between preterm and term comparison adults in independent living. However, PT/LBW adults were less likely to live independently according to cohort studies (OR = 0.59; 95% CI = 0.44–0.79) but more likely to live independently according to registry studies (OR = 1.09; 95% CI = 1.01–1.18).

    Publication Bias

    Under the random effects model, the point estimate (95% CI) for the combined studies is 0.75 (0.70–0.80) for higher education qualifications and 0.82 (0.74–0.92) for employment. With the use of trim and fill, these values remained unchanged for both higher education qualifications and employment, indicating no publication bias. The Begg and Mazumdar46 rank correlation and Egger et al’s47 test were not statistically significant for both employment and higher education qualifications, indicating no evidence of publication bias.

    Under the random effects model, the point estimate (95% CI) for the combined studies is 1.11 (1.10–1.13) for receiving social benefits. With the use of trim and fill, the imputed point estimate changed to 1.18 (1.04–1.35), indicating publication bias. On the other hand, the Begg and Mazumdar46 rank correlation and Egger’s et al47 test were not statistically significant, indicating no evidence of publication bias.

    Under the random effects model, the point estimate (95% CI) for the combined studies is 0.78 (0.60–1.01) for independent living. With the use of trim and fill, these values remained unchanged, indicating no publication bias. The Begg and Mazumdar46 rank correlation was not statistically significant; however, Egger et al’s47 test was statistically significant (P = .01), indicating publication bias. However, Egger et al’s47 test has low power when few studies are included in the analysis and when there is high heterogeneity between studies.48,49

    Sensitivity Analysis

    Because the current meta-analysis included a mixture of studies containing reports on birth weight and gestational age, we repeated the meta-analysis excluding the studies that contained reports on birth weight to check whether this altered the results.50 Results remained the same when the studies containing reports on birth weight were removed from the analysis. Preterm born adults were less likely to attain higher education qualifications (OR = 0.77; 95% CI = 0.72–0.83), be employed (OR = 0.84; 95% CI = 0.75–0.93), and more likely to receive social benefits (OR = 1.19; 95% CI = 1.04–1.36) in comparison with term-born adults. There was no significant difference between the 2 groups in terms of the likelihood of independent living (OR = 0.81; 95% CI = 0.61–1.06).

    Discussion

    Our findings revealed that adults born PT/LBW are less likely to achieve higher education qualifications, less likely to be employed, and they are more likely to receive social benefits in comparison with those born at term. On the other hand, PT/LBW- and term-born adults were similar in the likelihood of independent living.

    With respect to study type, the results of cohort studies revealed generally poorer outcomes in higher education qualifications and employment rates for PT/LBW-born adults than registry studies, along with increased rate of receiving social benefits. As cohort studies are prone to selective dropout (ie, participants with the worst social conditions and problems are more likely to drop out),51,52 cohort studies would have been expected to contain reports on less problems in comparison with registry studies. This difference according to study type may be related to the fact that all registry studies were from Scandinavian countries, where inclusive education, employment rates, and educational qualifications could be relatively high compared with other countries.53 It could also be related to the fact that the majority of cohort studies included VPT or very low birth weight (VLBW) individuals, whereas registry studies included the full range of preterm birth. With respect to region, the inverse association between preterm birth and higher education qualifications in adulthood was more pronounced in Australasia and North America in comparison with Europe. This finding could be due to having less of a social care network for those born preterm in these regions than Europe.54 On the other hand, it could also be a methodological issue due to having registry studies in Europe but not in other regions.

    Despite poorer education, being less likely to be employed, and receiving social benefits, preterm-born adults were as likely to live independently as term-born adults. We found that this was particularly evident in registry studies, which indicates that welfare and cultural practices might have an influence on this outcome. To illustrate, in northern European countries, it is socially expected for young people to leave home, and the state usually supports this transition.55 However, it should be noted that cohort studies did report less independent living of those born PT/LBW. Thus, cohort studies may provide more sensitive measurement of independent living because they usually include detailed information about the living arrangements, whereas registry studies may only contain reports based on a registered address that might not indicate where the individual actually lives.30

    The primary and subgroup analyses allow for interpretation of the evidence by using the Hill56 Framework (a tool to assess for causality between 2 variables) on the basis of the following: the temporal relationship of the association, strength and consistency of the association, presence of a dose-response relationship, plausibility, and whether an alternate explanation for the associations is possible.

    With respect to temporality, longitudinal prospective studies showed a significant association between PT/LBW and markers of adulthood wealth, particularly for higher education qualifications, employment, and social benefits. Thus, there is evidence of a temporal relationship showing PT/LBW preceded later consequences regarding economic functioning.

    The magnitude of the associations was generally small and diverged depending on the study type, degree of prematurity, region, and participant age. To illustrate, the results of cohort studies revealed more negative associations between being born PT/LBW and higher education qualifications and employment in comparison with registry-based studies. Despite some variability, being born PT/LBW was found to significantly decrease the likelihood of attainment of higher education qualifications and employment and increase the likelihood of receiving social benefits. These findings suggest robust associations between being born PT/LBW and markers of adulthood wealth.

    Consistency of the associations between being born PT/LBW and a decrease in markers of adulthood wealth was demonstrated in the estimated effect sizes across studies. The significant association was consistent across different geographic regions, degree of prematurity and study type for higher education qualifications, and employment. The significant association was consistent across different regions for social benefits. Inconsistent associations were observed for independent living, and it is possible that publication bias or assessment method affected the results for independent living.

    With respect to dose-response relationship, available evidence suggests that among those born preterm, being born before 32 weeks (VPT) is specifically associated with impairments in multiple areas of development.7,57 Similarly, we suggest a dose-response relationship between being born PT/LBW and markers of adulthood wealth, in particular for higher education qualifications. An increase in the degree of prematurity (ie, decrease in gestational age) resulted in the lowest point of estimates for higher education qualifications and employment. To illustrate, VPT infants had significantly lower likelihood of attainment of higher education qualifications in comparison with MLPT infants. Although the difference between VPT and MLPT infants in the likelihood of employment was not significant, the point estimate for VPT infants was lower than MLPT infants. VPT resulted in the highest point of estimates for receiving social benefits, although the difference between VPT and MLPT was not statistically significant.

    In infants born preterm, the normal processes of intrauterine brain development are altered or impaired during the second half of gestation (20–40 weeks), with the maturation of cerebral pathways, the formation of synapses, and brain growth being interrupted.58,59 The severity of these alterations has been associated with neurocognitive deficits in later life.60,61 Thus, it is plausible that being born PT/LBW would be associated with low employment and educational qualifications in adulthood.

    There are alternative explanations for the association between being born PT/LBW and a decrease in markers of wealth in adulthood. One factor related to increased rates of preterm birth is low socioeconomic status of the mother, which has been consistently reported in several countries such as United States,62 Sweden,63 Finland,64 or United Kingdom.65 Social disadvantage has been shown to be an equally important factor in explaining the cognitive deficits as VPT birth.66,67 The impact of gestational age on cognitive deficits decreases after controlling for social disadvantage while growing up,68 and the effects of social disadvantage and VPT have been shown to be additive.67 Nevertheless, some studies included in the meta-analysis reported an association between PT/LBW and decreased employment30 and educational qualification rates17 even after controlling for the impact of socioeconomic status of the mother.

    Using the above-mentioned criteria, we can conclude that there is “convincing evidence” for an association between PT/LBW and decreased likelihood of higher education qualifications and employment. This evidence is based on a substantial number of cohort and registry studies identified in this meta-analysis, including prospective cohort studies of sufficient size, duration, and quality revealing consistent effect sizes. We conclude that probable evidence of an association exists between PT/LBW and increased likelihood of receiving social benefits. This evidence is mainly based on findings from registry studies and 2 cohort studies. More studies are needed to support these tentative associations. Further research with more fine-graded assessment is needed to better examine if any associations exist between PT/LBW and independent living.

    There are some limitations of the current meta-analysis. There were too few studies from North America and Australasia and no studies from other regions. These would be needed to understand the impact of PT/LBW on wealth in all regions of the world. Information on the disability of the participants was also not available for the majority of studies and thus could not be considered as a moderator in our analysis. Therefore, it could not be assessed whether disability accounted for the association between PT/LBW and wealth-related outcomes. It is essential that future researchers report on disabilities in individuals born with PT/LBW when reporting on adulthood wealth-related outcomes. Moreover, the heterogeneity was high, indicating considerable variation between studies. This might arise from incorporating cohort and registry studies with various sample sizes. To address this possibility, we used a random-effects model in the analysis and conducted moderator analyses. Nevertheless, our moderator analysis explained only some of the heterogeneity. Thus, the findings from the current study should be interpreted with caution, and the analysis should be repeated when more adulthood data becomes available from the extremely preterm cohort studies.69,70 We were unable to include income as an outcome measure since the definition of low income does differ substantially according to overall distribution of income in each country and reference norms were not available. It was only possible to focus on higher education qualifications among the levels of education because this was the most consistently reported outcome.

    Conclusions

    There is evidence that PT/LBW is associated with decreased rates of educational qualifications and employment as well as increased rate of social benefits in adulthood. Although the magnitude of these associations was small in general, they were particularly strong in VPT- or VLBW-born adults for education qualifications and were consistent across geographic regions. However, the findings are less clear for independent living, which may be related to measurement or cultural practices and support. Future researchers should identify the major risks and, in particular, protective and resiliency factors related to wealth among preterm individuals to improve support and design appropriate interventions to decrease the economic disadvantages of survivors of PT/LBW.

    Footnotes

      • Accepted April 3, 2018.
    • Address correspondence to Dieter Wolke, PhD, Dr rer nat h.c, Department of Psychology, University of Warwick, University Rd, Coventry CV4 7AL, United Kingdom. E-mail: d.wolke{at}warwick.ac.uk
    • FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.

    • FUNDING: Funded by the European Union’s Horizon 2020 research and innovation program under grant agreement: 733280.

    • POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

    References

    1. ↵
      1. Blencowe H,
      2. Cousens S,
      3. Chou D, et al; Born Too Soon Preterm Birth Action Group
      . Born too soon: the global epidemiology of 15 million preterm births. Reprod Health. 2013;10(suppl 1):S2pmid:24625129
      OpenUrlCrossRefPubMed
    2. ↵
      1. Doyle LW,
      2. Rogerson S,
      3. Chuang SL,
      4. James M,
      5. Bowman ED,
      6. Davis PG
      . Why do preterm infants die in the 1990s? Med J Aust. 1999;170(11):528–532pmid:10397043
      OpenUrlPubMed
    3. ↵
      1. Saigal S,
      2. Doyle LW
      . An overview of mortality and sequelae of preterm birth from infancy to adulthood. Lancet. 2008;371(9608):261–269pmid:18207020
      OpenUrlCrossRefPubMed
    4. ↵
      1. Soll RF
      . Surfactant treatment of the very preterm infant. Biol Neonate. 1998;74(suppl 1):35–42pmid:9730590
      OpenUrlCrossRefPubMed
    5. ↵
      1. Doyle LW,
      2. Anderson PJ
      . Adult outcome of extremely preterm infants. Pediatrics. 2010;126(2):342–351pmid:20679313
      OpenUrlAbstract/FREE Full Text
    6. ↵
      1. Saigal S,
      2. Day KL,
      3. Van Lieshout RJ,
      4. Schmidt LA,
      5. Morrison KM,
      6. Boyle MH
      . Health, wealth, social integration, and sexuality of extremely low-birth-weight prematurely born adults in the fourth decade of life. JAMA Pediatr. 2016;170(7):678–686pmid:27213291
      OpenUrlPubMed
    7. ↵
      1. Aarnoudse-Moens CS,
      2. Weisglas-Kuperus N,
      3. van Goudoever JB,
      4. Oosterlaan J
      . Meta-analysis of neurobehavioral outcomes in very preterm and/or very low birth weight children. Pediatrics. 2009;124(2):717–728pmid:19651588
      OpenUrlAbstract/FREE Full Text
      1. Aylward GP
      . Update on neurodevelopmental outcomes of infants born prematurely. J Dev Behav Pediatr. 2014;35(6):392–393pmid:25007062
      OpenUrlPubMed
      1. Breeman LD,
      2. Jaekel J,
      3. Baumann N,
      4. Bartmann P,
      5. Wolke D
      . Preterm cognitive function into adulthood. Pediatrics. 2015;136(3):415–423pmid:26260714
      OpenUrlAbstract/FREE Full Text
    8. ↵
      1. Kovachy VN,
      2. Adams JN,
      3. Tamaresis JS,
      4. Feldman HM
      . Reading abilities in school-aged preterm children: a review and meta-analysis. Dev Med Child Neurol. 2015;57(5):410–419pmid:25516105
      OpenUrlCrossRefPubMed
    9. ↵
      1. Nosarti C,
      2. Reichenberg A,
      3. Murray RM, et al
      . Preterm birth and psychiatric disorders in young adult life. Arch Gen Psychiatry. 2012;69(6):E1–E8pmid:22660967
      OpenUrlCrossRefPubMed
      1. Pyhälä R,
      2. Wolford E,
      3. Kautiainen H, et al
      . Self-reported mental health problems among adults born preterm: a meta-analysis. Pediatrics. 2017;139(4):e20162690pmid:28283612
      OpenUrlAbstract/FREE Full Text
    10. ↵
      1. Jaekel J,
      2. Baumann N,
      3. Bartmann P,
      4. Wolke D
      . Mood and anxiety disorders in very preterm/very low-birth weight individuals from 6 to 26 years. J Child Psychol Psychiatry. 2018;59(1):88–95pmid:28748557
      OpenUrlPubMed
    11. ↵
      1. McGowan JE,
      2. Alderdice FA,
      3. Holmes VA,
      4. Johnston L
      . Early childhood development of late-preterm infants: a systematic review. Pediatrics. 2011;127(6):1111–1124pmid:21624885
      OpenUrlAbstract/FREE Full Text
    12. ↵
      1. D’Onofrio BM,
      2. Class QA,
      3. Rickert ME,
      4. Larsson H,
      5. Långström N,
      6. Lichtenstein P
      . Preterm birth and mortality and morbidity: a population-based quasi-experimental study. JAMA Psychiatry. 2013;70(11):1231–1240pmid:24068297
      OpenUrlCrossRefPubMed
    13. ↵
      1. Copeland WE,
      2. Wolke D,
      3. Shanahan L,
      4. Costello EJ
      . Adult functional outcomes of common childhood psychiatric problems: a prospective, longitudinal study. JAMA Psychiatry. 2015;72(9):892–899pmid:26176785
      OpenUrlCrossRefPubMed
    14. ↵
      1. Lindström K,
      2. Winbladh B,
      3. Haglund B,
      4. Hjern A
      . Preterm infants as young adults: a Swedish national cohort study [published correction appears in Pediatrics. 2007;120(4):936]. Pediatrics. 2007;120(1):70–77pmid:17606563
      OpenUrlAbstract/FREE Full Text
      1. Mathiasen R,
      2. Hansen BM,
      3. Nybo Anderson AM,
      4. Greisen G
      . Socio-economic achievements of individuals born very preterm at the age of 27 to 29 years: a nationwide cohort study. Dev Med Child Neurol. 2009;51(11):901–908pmid:19459908
      OpenUrlCrossRefPubMed
    15. ↵
      1. Moster D,
      2. Lie RT,
      3. Markestad T
      . Long-term medical and social consequences of preterm birth. N Engl J Med. 2008;359(3):262–273pmid:18635431
      OpenUrlCrossRefPubMed
    16. ↵
      1. Swamy GK,
      2. Ostbye T,
      3. Skjaerven R
      . Association of preterm birth with long-term survival, reproduction, and next-generation preterm birth. JAMA. 2008;299(12):1429–1436pmid:18364485
      OpenUrlCrossRefPubMed
    17. ↵
      1. Petrou S
      . The economic consequences of preterm birth during the first 10 years of life. BJOG. 2005;112(suppl 1):10–15pmid:15715587
      OpenUrlCrossRefPubMed
    18. ↵
      1. Basten M,
      2. Jaekel J,
      3. Johnson S,
      4. Gilmore C,
      5. Wolke D
      . Preterm birth and adult wealth: mathematics skills count. Psychol Sci. 2015;26(10):1608–1619pmid:26324513
      OpenUrlCrossRefPubMed
    19. ↵
      1. Hack M,
      2. Flannery DJ,
      3. Schluchter M,
      4. Cartar L,
      5. Borawski E,
      6. Klein N
      . Outcomes in young adulthood for very-low-birth-weight infants. N Engl J Med. 2002;346(3):149–157pmid:11796848
      OpenUrlCrossRefPubMed
    20. ↵
      1. Dobson KG,
      2. Ferro MA,
      3. Boyle MH,
      4. Schmidt LA,
      5. Saigal S,
      6. Van Lieshout RJ
      . Socioeconomic attainment of extremely low birth weight survivors: the role of early cognition. Pediatrics. 2017;139(3):e20162545pmid:28223371
      OpenUrlAbstract/FREE Full Text
    21. ↵
      1. Saigal S,
      2. Stoskopf B,
      3. Streiner D, et al
      . Transition of extremely low-birth-weight infants from adolescence to young adulthood: comparison with normal birth-weight controls. JAMA. 2006;295(6):667–675pmid:16467235
      OpenUrlCrossRefPubMed
    22. ↵
      1. Moher D,
      2. Liberati A,
      3. Tetzlaff J,
      4. Altman DG; PRISMA Group
      . Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097pmid:19621072
      OpenUrlCrossRefPubMed
    23. ↵
      1. Boyle MH,
      2. Miskovic V,
      3. Van Lieshout R, et al
      . Psychopathology in young adults born at extremely low birth weight. Psychol Med. 2011;41(8):1763–1774pmid:21134317
      OpenUrlCrossRefPubMed
      1. Allin M,
      2. Rooney M,
      3. Cuddy M, et al
      . Personality in young adults who are born preterm. Pediatrics. 2006;117(2):309–316pmid:16452348
      OpenUrlAbstract/FREE Full Text
      1. Båtsvik B,
      2. Vederhus BJ,
      3. Halvorsen T,
      4. Wentzel-Larsen T,
      5. Graue M,
      6. Markestad T
      . Health-related quality of life may deteriorate from adolescence to young adulthood after extremely preterm birth. Acta Paediatr. 2015;104(9):948–955pmid:26059965
      OpenUrlPubMed
    24. ↵
      1. Baumann N,
      2. Bartmann P,
      3. Wolke D
      . Health-related quality of life into adulthood after very preterm birth. Pediatrics. 2016;137(4):e20153148pmid:27016272
      OpenUrlAbstract/FREE Full Text
      1. Cooke RW
      . Health, lifestyle, and quality of life for young adults born very preterm. Arch Dis Child. 2004;89(3):201–206pmid:14977689
      OpenUrlAbstract/FREE Full Text
      1. Dalziel SR,
      2. Lim VK,
      3. Lambert A, et al
      . Psychological functioning and health-related quality of life in adulthood after preterm birth. Dev Med Child Neurol. 2007;49(8):597–602pmid:17635205
      OpenUrlCrossRefPubMed
      1. Darlow BA,
      2. Horwood LJ,
      3. Pere-Bracken HM,
      4. Woodward LJ
      . Psychosocial outcomes of young adults born very low birth weight. Pediatrics. 2013;132(6). Available at: www.pediatrics.org/cgi/content/full/132/6/e1521pmid:24249818
      OpenUrlAbstract/FREE Full Text
      1. Heinonen K,
      2. Eriksson JG,
      3. Kajantie E, et al
      . Late-preterm birth and lifetime socioeconomic attainments: the Helsinki birth cohort study. Pediatrics. 2013;132(4):647–655pmid:24082003
      OpenUrlAbstract/FREE Full Text
      1. Kajantie E,
      2. Hovi P,
      3. Räikkönen K, et al
      . Young adults with very low birth weight: leaving the parental home and sexual relationships–Helsinki study of very low birth weight adults. Pediatrics. 2008;122(1). Available at: www.pediatrics.org/cgi/content/full/122/1/e62pmid:18595976
      OpenUrlAbstract/FREE Full Text
      1. Kroll J,
      2. Karolis V,
      3. Brittain PJ, et al
      . Real-life impact of executive function impairments in adults who were born very preterm. J Int Neuropsychol Soc. 2017;23(5):381–389pmid:28438232
      OpenUrlPubMed
      1. Lærum AMW,
      2. Reitan SK,
      3. Evensen KAI, et al
      . Psychiatric disorders and general functioning in low birth weight adults: a longitudinal study. Pediatrics. 2017;139(2):e20162135pmid:28123043
      OpenUrlAbstract/FREE Full Text
      1. Lefebvre F,
      2. Mazurier E,
      3. Tessier R
      . Cognitive and educational outcomes in early adulthood for infants weighing 1000 grams or less at birth. Acta Paediatr. 2005;94(6):733–740pmid:16188777
      OpenUrlCrossRefPubMed
    25. ↵
      1. Männistö T,
      2. Vääräsmäki M,
      3. Sipola-Leppänen M, et al
      . Independent living and romantic relations among young adults born preterm. Pediatrics. 2015;135(2):290–297pmid:25624386
      OpenUrlAbstract/FREE Full Text
      1. Odberg MD,
      2. Elgen IB
      . Low birth weight young adults: quality of life, academic achievements and social functioning. Acta Paediatr. 2011;100(2):284–288pmid:21114522
      OpenUrlPubMed
      1. Winstanley A,
      2. Lamb ME,
      3. Ellis-Davies K,
      4. Rentfrow PJ
      . The subjective well-being of adults born preterm. J Res Pers. 2015;59:23–30
      OpenUrl
    26. ↵
      1. Wells GA,
      2. Shea B,
      3. O’Connell D, et al
      . The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomized Studies in Meta-Analysis. Ottawa, Canada: Ottawa Health Research Institute; 1999
    27. ↵
      1. Borenstein M,
      2. Hedges L,
      3. Higgins J,
      4. Rothstein H
      . Comprehensive Meta-Analysis Version 2. Englewood, NJ: Biostat; 2005
    28. ↵
      1. Borenstein M,
      2. Hedges LV,
      3. Higgins JPT,
      4. Rothstein HR
      . Introduction to Meta-Analysis. Chichester, United Kingdom: John Wiley & Sons; 2009
    29. ↵
      1. Duval S,
      2. Tweedie R
      . A nonparametric “trim and fill” method of accounting for publication bias in meta-analysis. J Am Stat Assoc. 2000;95(449):89–98
      OpenUrlCrossRef
    30. ↵
      1. Begg CB,
      2. Mazumdar M
      . Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50(4):1088–1101pmid:7786990
      OpenUrlCrossRefPubMed
    31. ↵
      1. Egger M,
      2. Davey Smith G,
      3. Schneider M,
      4. Minder C
      . Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–634pmid:9310563
      OpenUrlAbstract/FREE Full Text
    32. ↵
      1. Terrin N,
      2. Schmid CH,
      3. Lau J,
      4. Olkin I
      . Adjusting for publication bias in the presence of heterogeneity. Stat Med. 2003;22(13):2113–2126pmid:12820277
      OpenUrlCrossRefPubMed
    33. ↵
      1. Ioannidis JP,
      2. Trikalinos TA
      . The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey. CMAJ. 2007;176(8):1091–1096pmid:17420491
      OpenUrlAbstract/FREE Full Text
    34. ↵
      1. Bown MJ,
      2. Sutton AJ
      . Quality control in systematic reviews and meta-analyses. Eur J Vasc Endovasc Surg. 2010;40(5):669–677pmid:20732826
      OpenUrlCrossRefPubMed
    35. ↵
      1. Wolke D,
      2. Söhne B,
      3. Ohrt B,
      4. Riegel K
      . Follow-up of preterm children: important to document dropouts. Lancet. 1995;345(8947):447pmid:7531802
      OpenUrlCrossRefPubMed
    36. ↵
      1. Hille ET,
      2. Elbertse L,
      3. Gravenhorst JB,
      4. Brand R,
      5. Verloove-Vanhorick SP; Dutch POPS-19 Collaborative Study Group
      . Nonresponse bias in a follow-up study of 19-year-old adolescents born as preterm infants. Pediatrics. 2005;116(5). Available at: www.pediatrics.org/cgi/content/full/116/5/e662pmid:16263980
      OpenUrlAbstract/FREE Full Text
    37. ↵
      1. Organisation for Economic Co-operation and Development
      . Employment rate (indicator). 2018. Available at: https://data.oecd.org/emp/employment-rate.htm. Accessed January 18, 2018
    38. ↵
      1. Lawn JE,
      2. Davidge R,
      3. Paul VK, et al
      . Born too soon: care for the preterm baby. Reprod Health. 2013;10(suppl 1):S5pmid:24625233
      OpenUrlCrossRefPubMed
    39. ↵
      1. Giuliano P
      . Living arrangements in Western Europe: does cultural origin matter? J Eur Econ Assoc. 2007;5(5):927–952
      OpenUrlCrossRef
    40. ↵
      1. Hill AB
      . The environment and disease: association or causation? Proc R Soc Med. 1965;58(5):295–300pmid:14283879
      OpenUrlPubMed
    41. ↵
      1. Johnson S,
      2. Wolke D
      . Behavioural outcomes and psychopathology during adolescence. Early Hum Dev. 2013;89(4):199–207pmid:23455605
      OpenUrlCrossRefPubMed
    42. ↵
      1. Peterson BS,
      2. Anderson AW,
      3. Ehrenkranz R, et al
      . Regional brain volumes and their later neurodevelopmental correlates in term and preterm infants. Pediatrics. 2003;111(5 pt 1):939–948pmid:12728069
      OpenUrlAbstract/FREE Full Text
    43. ↵
      1. Volpe JJ
      . Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances. Lancet Neurol. 2009;8(1):110–124pmid:19081519
      OpenUrlCrossRefPubMed
    44. ↵
      1. Nosarti C,
      2. Giouroukou E,
      3. Healy E, et al
      . Grey and white matter distribution in very preterm adolescents mediates neurodevelopmental outcome. Brain. 2008;131(pt 1):205–217pmid:18056158
      OpenUrlCrossRefPubMed
    45. ↵
      1. Young JM,
      2. Powell TL,
      3. Morgan BR, et al
      . Deep grey matter growth predicts neurodevelopmental outcomes in very preterm children. Neuroimage. 2015;111:360–368pmid:25711136
      OpenUrlCrossRefPubMed
    46. ↵
      1. Parker JD,
      2. Schoendorf KC,
      3. Kiely JL
      . Associations between measures of socioeconomic status and low birth weight, small for gestational age, and premature delivery in the United States. Ann Epidemiol. 1994;4(4):271–278pmid:7921316
      OpenUrlCrossRefPubMed
    47. ↵
      1. Koupilová I,
      2. Vågerö D,
      3. Leon DA, et al
      . Social variation in size at birth and preterm delivery in the Czech Republic and Sweden, 1989-91. Paediatr Perinat Epidemiol. 1998;12(1):7–24pmid:9483614
      OpenUrlPubMed
    48. ↵
      1. Olsën P,
      2. Läärä E,
      3. Rantakallio P,
      4. Järvelin MR,
      5. Sarpola A,
      6. Hartikainen AL
      . Epidemiology of preterm delivery in two birth cohorts with an interval of 20 years. Am J Epidemiol. 1995;142(11):1184–1193pmid:7485065
      OpenUrlPubMed
    49. ↵
      1. Weightman AL,
      2. Morgan HE,
      3. Shepherd MA,
      4. Kitcher H,
      5. Roberts C,
      6. Dunstan FD
      . Social inequality and infant health in the UK: systematic review and meta-analyses. BMJ Open. 2012;2(3):e000964pmid:22700833
      OpenUrlAbstract/FREE Full Text
    50. ↵
      1. Weisglas-Kuperus N,
      2. Hille ET,
      3. Duivenvoorden HJ, et al; Dutch POPS-19 Collaborative Study Group
      . Intelligence of very preterm or very low birthweight infants in young adulthood. Arch Dis Child Fetal Neonatal Ed. 2009;94(3):F196–F200pmid:18805824
      OpenUrlAbstract/FREE Full Text
    51. ↵
      1. Eryigit Madzwamuse S,
      2. Baumann N,
      3. Jaekel J,
      4. Bartmann P,
      5. Wolke D
      . Neuro-cognitive performance of very preterm or very low birth weight adults at 26 years. J Child Psychol Psychiatry. 2015;56(8):857–864pmid:25382451
      OpenUrlCrossRefPubMed
    52. ↵
      1. Ekeus C,
      2. Lindström K,
      3. Lindblad F,
      4. Rasmussen F,
      5. Hjern A
      . Preterm birth, social disadvantage, and cognitive competence in Swedish 18- to 19-year-old men. Pediatrics. 2010;125(1). Available at: www.pediatrics.org/cgi/content/full/125/1/e67pmid:19969613
      OpenUrlAbstract/FREE Full Text
    53. ↵
      1. Ancel PY,
      2. Goffinet F,
      3. Kuhn P, et al; EPIPAGE-2 Writing Group
      . Survival and morbidity of preterm children born at 22 through 34 weeks’ gestation in France in 2011: results of the EPIPAGE-2 cohort study. JAMA Pediatr. 2015;169(3):230–238pmid:25621457
      OpenUrlCrossRefPubMed
    54. ↵
      1. Fellman V,
      2. Hellström-Westas L,
      3. Norman M, et al; EXPRESS Group
      . One-year survival of extremely preterm infants after active perinatal care in Sweden. JAMA. 2009;301(21):2225–2233pmid:19491184
      OpenUrlCrossRefPubMed
    • Copyright © 2018 by the American Academy of Pediatrics
    PreviousNext
    Back to top

    Advertising Disclaimer »

    In this issue

    Pediatrics
    Vol. 142, Issue 1
    1 Jul 2018
    • Table of Contents
    • Index by author
    View this article with LENS
    PreviousNext
    Email Article

    Thank you for your interest in spreading the word on American Academy of Pediatrics.

    NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

    Enter multiple addresses on separate lines or separate them with commas.
    Preterm Birth/Low Birth Weight and Markers Reflective of Wealth in Adulthood: A Meta-analysis
    (Your Name) has sent you a message from American Academy of Pediatrics
    (Your Name) thought you would like to see the American Academy of Pediatrics web site.
    CAPTCHA
    This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
    Request Permissions
    Article Alerts
    Log in
    You will be redirected to aap.org to login or to create your account.
    Or Sign In to Email Alerts with your Email Address
    Citation Tools
    Preterm Birth/Low Birth Weight and Markers Reflective of Wealth in Adulthood: A Meta-analysis
    Ayten Bilgin, Marina Mendonca, Dieter Wolke
    Pediatrics Jul 2018, 142 (1) e20173625; DOI: 10.1542/peds.2017-3625

    Citation Manager Formats

    • BibTeX
    • Bookends
    • EasyBib
    • EndNote (tagged)
    • EndNote 8 (xml)
    • Medlars
    • Mendeley
    • Papers
    • RefWorks Tagged
    • Ref Manager
    • RIS
    • Zotero
    Share
    Preterm Birth/Low Birth Weight and Markers Reflective of Wealth in Adulthood: A Meta-analysis
    Ayten Bilgin, Marina Mendonca, Dieter Wolke
    Pediatrics Jul 2018, 142 (1) e20173625; DOI: 10.1542/peds.2017-3625
    del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
    Print
    Download PDF
    Insight Alerts
    • Table of Contents

    Jump to section

    • Article
      • Abstract
      • Methods
      • Results
      • Discussion
      • Conclusions
      • Footnotes
      • References
    • Figures & Data
    • Supplemental
    • Info & Metrics
    • Comments

    Related Articles

    • PubMed
    • Google Scholar

    Cited By...

    • Maternal education and language development at 2 years corrected age in children born very preterm: results from a European population-based cohort study
    • Google Scholar

    More in this TOC Section

    • Nonpharmacological Interventions for Pediatric Migraine: A Network Meta-analysis
    • Adolescent Risk Behavior Screening and Interventions in Hospital Settings: A Scoping Review
    • Grief and Bereavement in Fathers After the Death of a Child: A Systematic Review
    Show more Review Article

    Similar Articles

    Subjects

    • Fetus/Newborn Infant
      • Fetus/Newborn Infant
      • Neonatology
    • Developmental/Behavioral Pediatrics
      • Developmental/Behavioral Pediatrics
      • Psychosocial Issues
    • Journal Info
    • Editorial Board
    • Editorial Policies
    • Overview
    • Licensing Information
    • Authors/Reviewers
    • Author Guidelines
    • Submit My Manuscript
    • Open Access
    • Reviewer Guidelines
    • Librarians
    • Institutional Subscriptions
    • Usage Stats
    • Support
    • Contact Us
    • Subscribe
    • Resources
    • Media Kit
    • About
    • International Access
    • Terms of Use
    • Privacy Statement
    • FAQ
    • AAP.org
    • shopAAP
    • Follow American Academy of Pediatrics on Instagram
    • Visit American Academy of Pediatrics on Facebook
    • Follow American Academy of Pediatrics on Twitter
    • Follow American Academy of Pediatrics on Youtube
    • RSS
    American Academy of Pediatrics

    © 2021 American Academy of Pediatrics