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A Comparison of the effects of preterm birth and institutional deprivation on child temperament

Published online by Cambridge University Press:  12 November 2019

Lucia Miranda Reyes*
Affiliation:
Department of Child & Family Studies, University of Tennessee, Knoxville, TN, USA
Julia Jaekel
Affiliation:
Department of Child & Family Studies, University of Tennessee, Knoxville, TN, USA Department of Psychology, University of Warwick, UK
Jana Kreppner
Affiliation:
Centre for Innovation in Mental Health, Department of Psychology, University of Southampton, UK
Dieter Wolke
Affiliation:
Department of Psychology, University of Warwick, UK
Edmund Sonuga–Barke
Affiliation:
Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
*
Author for Correspondence: Lucia Miranda Reyes, 115 Jessie Harris Building, 1215 W. Cumberland Ave., Knoxville, TN37996; E-mail: Lmiranda@utk.edu.
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Abstract

Both preterm birth and early institutional deprivation are associated with neurodevelopmental impairment—with both shared and distinctive features. To explore shared underlying mechanisms, this study directly compared the effects of these putative risk factors on temperament profiles in six-year-olds: Children born very preterm (<32 weeks gestation) or at very low birthweight (<1500 g) from the Bavarian Longitudinal Study (n = 299); and children who experienced >6 months of deprivation in Romanian institutions from the English and Romanian Adoptees Study (n = 101). The former were compared with 311 healthy term born controls and the latter with 52 nondeprived adoptees. At 6 years, temperament was assessed via parent reports across 5 dimensions: effortful control, activity, shyness, emotionality, and sociability. Very preterm/very low birthweight and postinstitutionalized children showed similarly aberrant profiles in terms of lower effortful control, preterm = −0.50, 95% CI [−0.67, −0.33]; postinstitutionalized = −0.48, 95% CI [−0.82, −0.14], compared with their respective controls. Additionally, postinstitutionalized children showed higher activity, whereas very preterm/very low birthweight children showed lower shyness. Preterm birth and early institutionalization are similarly associated with poorer effortful control, which might contribute to long-term vulnerability. More research is needed to examine temperamental processes as common mediators of negative long-term outcomes following early adversity.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2019

The growing child's brain can be adversely affected by exposures to a variety of physical and social risks during the pre-, peri-, and early postnatal periods, contributing to the emergence of neurodevelopmental problems that can last across the life span (Desplats, Reference Desplats2015; Gilman et al., Reference Gilman, Hornig, Ghassabian, Hahn, Cherkerzian, Albert and Goldstein2017). Different types of early risks may operate via unique mechanisms, and recent frameworks distinguish inadequate environmental input (e.g., neglect, deprivation) from unwanted input (e.g., threat, abuse), suggesting that the influence of each experience is characterized by specific neurodevelopmental consequences (Humphreys & Zeanah, Reference Humphreys and Zeanah2015; McLaughlin, Sheridan, & Lambert, Reference McLaughlin, Sheridan and Lambert2014). However, few studies differentiate between types of inadequate inputs or directly compare the developmental profiles of individuals that have been exposed to different forms of severe early adversity (Dong et al., Reference Dong, Anda, Felitti, Dube, Williamson, Thompson and Giles2004). Understanding whether different types of early adversity confer similar or different vulnerabilities for development is crucial for the design of preventive interventions (McCrory, Gerin, & Viding, Reference McCrory, Gerin and Viding2017). Comparing child outcomes after different types of adverse exposures may illuminate these mechanisms by identifying potentially shared neurodevelopmental pathways.

Preterm Birth

The earliest forms of developmental risk exposure may occur in utero and during the first few weeks of life. Preterm birth (<37 weeks gestation) is a marker for prenatal adversities and has been associated with various risk factors including maternal stress, social adversity, Black ethnicity, infection/inflammation, and preconception/prenatal smoking. Prematurity is also related to clinician decisions to deliver early and by caesarean section, for example, due to multiple fetuses after fertility treatment in often more socially advantaged women (Chawanpaiboon et al., Reference Chawanpaiboon, Vogel, Moller, Lumbiganon, Petzold, Hogan and Gülmezoglu2019). However, the mechanisms linking these factors to birth outcomes are not clear, and up to 78% of the variance in the risk of preterm birth remains unexplained (Goldenberg, Culhane, Iams, & Romero, Reference Goldenberg, Culhane, Iams and Romero2008; Raisanen, Gissler, Saari, Kramer, & Heinonen, Reference Räisänen, Gissler, Saari, Kramer and Heinonen2013). Preterm neonates often suffer from immaturity of organs, superimposed complications (Volpe, Reference Volpe2009), exposure to pain and stress due to medical treatment (Grunau, Reference Grunau2013), and restricted interactions with caregivers during the first weeks to months of life (Milgrom et al., Reference Milgrom, Newnham, Anderson, Doyle, Gemmill, Lee and Inder2010). As a consequence, preterm children are at risk for various neurodevelopmental problems (Cheong et al., Reference Cheong, Doyle, Burnett, Lee, Walsh, Potter and Anderson2017), and the risk is greatest for those born with lowest gestational age (Linsell, Malouf, Morris, Kurinczuk, & Marlow, Reference Linsell, Malouf, Morris, Kurinczuk and Marlow2015; Narberhaus et al., Reference Narberhaus, Segarra, Caldú, Giménez, Junqué, Pueyo and Botet2007). Children born very preterm (<32 weeks gestation; VP) or with a very low birth weight (<1,500 grams; VLBW) suffer from increased vulnerability to problems across cognitive, emotional, social, and behavioral domains (Wolke et al., Reference Wolke, Baumann, Strauss, Johnson and Marlow2015; Woodward et al., Reference Woodward, Moor, Hood, Champion, Foster-Cohen, Inder and Austin2009). Researchers agree that both biological vulnerability (such as brain injuries) and early environmental adversities (medical procedures and limited contact with parents) contribute to the emergence of these problems (Montagna & Nosarti, Reference Montagna and Nosarti2016).

Institutional Deprivation

Environments such as childhood institutions that lack adequate, loving caregivers and stimuli can also result in severe socioemotional deprivation in the first few months and years of life. In the sociopolitical context of the Ceausescu regime from the late 1960s to 1980s in Romania, antecedents of childhood institutionalization likely included severe maternal stress, in utero malnutrition, social adversity, and potential prenatal exposure to alcohol or other harmful substances (Morrison, Reference Morrison2004). Moreover, children who experienced institutionalization typically encountered malnutrition and significant psychosocial neglect due to high child-to-staff ratios, little opportunity to form lasting selective attachments, and limited cognitive stimulation (Castle et al., Reference Castle, Groothues, Bredenkamp, Beckett, O'Connor and Rutter1999; McCall, Reference McCall2013). Even after being adopted, postinstitutionalized children have been shown to be at risk for cognitive, behavioral, emotional, and social problems (Kreppner et al., Reference Kreppner, Rutter, Beckett, Castle, Colvert, Groothues and Sonuga-Barke2007). These vulnerabilities are most pronounced for children who were institutionalized for longer periods in early life (Kreppner et al., Reference Kreppner, Rutter, Beckett, Castle, Colvert, Groothues and Sonuga-Barke2007), suggesting that both the timing and duration of experiences are linked to adverse outcomes.

Comparing Phenotypes

Despite clear differences in the nature of these experiences, both extreme prematurity and extended institutional deprivation involve severe stress during the first few months of life (Figure 1). Moreover, both experiences lead to strikingly similar socioemotional and cognitive problems that present during comparable developmental periods (Aarnoudse-Moens, Weisglas-Kuperus, van Goudoever, & Oosterlaan, Reference Aarnoudse-Moens, Weisglas-Kuperus, van Goudoever and Oosterlaan2009; Kreppner et al., Reference Kreppner, Rutter, Beckett, Castle, Colvert, Groothues and Sonuga-Barke2007; Ritchie, Bora, & Woodward, Reference Ritchie, Bora and Woodward2015). Prospective longitudinal studies of VP/VLBW and postinstitutionalized children report increased risks for inattention, cognitive difficulties, and underachievement (Breeman, Jaekel, Baumann, Bartmann, & Wolke, Reference Breeman, Jaekel, Baumann, Bartmann and Wolke2015; Breeman, Jaekel, Baumann, Bartmann, & Wolke, Reference Breeman, Jaekel, Baumann, Bartmann and Wolke2016; Kennedy et al., Reference Kennedy, Kreppner, Knights, Kumsta, Maughan, Golm and Sonuga-Barke2016; Sonuga-Barke et al., Reference Sonuga-Barke, Kennedy, Kumsta, Knights, Golm, Rutter and Kreppner2017). Additionally, both populations show deficits in social cognition (Tarullo, Bruce, & Gunnar, Reference Tarullo, Bruce and Gunnar2007; Williamson & Jakobson, Reference Williamson and Jakobson2014), peer problems (Delobel-Ayoub et al., Reference Delobel-Ayoub, Kaminski, Marret, Burguet, Marchand, N′Guyen and Larroque2006; Gunnar & Van Dulmen, Reference Gunnar and Van Dulmen2007; Sonuga-Barke, Schlotz, & Kreppner, Reference Sonuga-Barke, Schlotz and Kreppner2010; Wolke, Baumann, Strauss, Johnson, & Marlow, Reference Wolke, Baumann, Strauss, Johnson and Marlow2015), and less positive engagement in interactions with adults (Kreppner, O'Connor, Dunn, & Andersen-Wood, Reference Kreppner, O'Connor, Dunn and Andersen-Wood1999; Reyes, Jaekel, & Wolke, Reference Reyes, Jaekel and Wolke2019).

Figure 1. Hypothetical model of the type/quality and timing of early adverse influences on temperament formation. Shading represents potential overlap in timing of stressful experiences. Although this model presents preterm birth and institutional deprivation as distinguishable experiences at different time points, it is also possible that overlap existed in prenatal experiences of institutionalized children (e.g., influenced by maternal stress, in utero malnutrition, and/or exposure to harmful substances) with those of preterm children. Due to limited data on prenatal experiences for institutionalized children, this possibility could not be tested in the current study.

However, unique features of each phenotype have also been reported. For instance, individuals born preterm have been described as more shy and withdrawn than their full-term counterparts (Eryigit-Madzwamuse, Strauss, Baumann, Bartmann, & Wolke, Reference Eryigit Madzwamuse, Baumann, Jaekel, Bartmann and Wolke2015; Pyhälä et al., Reference Pyhälä, Räikkönen, Pesonen, Heinonen, Hovi, Eriksson and Kajantie2009; Schmidt, Miskovic, Boyle, & Saigal, Reference Schmidt, Miskovic, Boyle and Saigal2008), whereas postinstitutionalized children are at risk for indiscriminate friendliness and social disinhibition (Bruce, Tarullo, & Gunnar, Reference Bruce, Tarullo and Gunnar2009; Kumsta et al., Reference Kumsta, Kreppner, Rutter, Beckett, Castle, Stevens and Sonuga-Barke2010; Rutter et al., Reference Rutter, Colvert, Kreppner, Beckett, Castle, Groothues and Sonuga-Barke2007). Additionally, while both experiences have been linked to symptoms of attention-deficit/hyperactivity disorder (ADHD; Kreppner, O'Connor, Rutter, & English and Romanian Adoptees Team, Reference Kreppner, O'connor and Rutter2001; Lindström, Lindblad, & Hjern, Reference Lindström, Lindblad and Hjern2011), it has been emphasized that the ADHD phenotype in both samples may be distinct in contrast to highly heritable ADHD in normal population samples. Thus, VP/VLBW birth appears to be specifically related to the inattentive but not the hyperactive/impulsive subtype of ADHD (Jaekel, Wolke, & Bartmann, Reference Jaekel, Wolke and Bartmann2013; Johnson & Wolke, Reference Johnson and Wolke2013). Inattention appears to predominate in postinstitutionalized samples as well (Kennedy et al., Reference Kennedy, Kreppner, Knights, Kumsta, Maughan, Golm and Sonuga-Barke2016), but there is also considerable overlap with disinhibited social engagement (Kreppner et al., Reference Kreppner, O'connor and Rutter2001, Roy et al., Reference Roy, Rutter and Pickles2004). At the same time, the phenotypic characterization of deprivation-related inattention and overactivity also shared features with ADHD in nondeprived samples (Stevens et al., Reference Stevens, Sonuga-Barke, Kreppner, Beckett, Castle, Colvert and Rutter2008). Therefore, it is unclear whether these distinct risk experiences of VP/VLBW and early institutionalization share similar neurodevelopmental pathways to long-term socioemotional and behavioral outcomes, or whether different pathways may be implicated (Bendersky & Lewis, Reference Bendersky and Lewis1994; Rathbone et al., Reference Rathbone, Counsell, Kapellou, Dyet, Kennea, Hajnal and Edwards2011).

Temperament as a developmental pathway

The development of temperament may constitute a potential mechanism through which early adversity shapes long-term outcomes (Nigg, Reference Nigg2006). Temperament is a multidimensional construct thought to emerge from an interplay of biological and environmental influences (Groh et al., Reference Groh, Narayan, Bakermans-Kranenburg, Roisman, Vaughn, Fearon and Ijzendoorn2017). Temperamental dispositions reflect variation in both reactivity and regulation that modulate the expression of traits such as sociability, emotionality, effortful control, shyness, and activity levels (Buss & Plomin, Reference Buss and Plomin1984; Rothbart, Reference Rothbart2007; Shiner et al., Reference Shiner, Buss, Mcclowry, Putnam, Saudino and Zentner2012). These traits may underlie behavioral problems associated with VP/VLBW and institutional deprivation to different extents. Indeed, the literature described above suggests that VP/VLBW birth and institutional deprivation confer risks for similar problems in some aspects of regulation (e.g., effortful control; Jaekel et al., Reference Jaekel, Wolke and Bartmann2013; Stevens et al., Reference Stevens, Sonuga-Barke, Kreppner, Beckett, Castle, Colvert and Rutter2008), but it is also associated with different risks in other aspects (e.g., hyperactivity in postinstitutionalized samples, shyness in VP/VLBW samples; Eryigit-Madzwamuse et al., Reference Eryigit Madzwamuse, Baumann, Jaekel, Bartmann and Wolke2015; Rutter et al., Reference Rutter, Colvert, Kreppner, Beckett, Castle, Groothues and Sonuga-Barke2007). Despite evidence that preterm birth and prolonged institutional deprivation may influence temperamental profiles (Bos et al., Reference Bos, Zeanah, Fox, Drury, McLaughlin and Nelson2011; Hughes, Shults, McGrath, & Medoff-Cooper, Reference Hughes, Shults, McGrath and Medoff-Cooper2002), the degree to which these two experiences affect temperamental variation in similar or different ways has not been studied.

Longitudinal cohort studies present an avenue for the cross-validation of data across different types of childhood adversity. Specifically, the Bavarian Longitudinal Study (BLS) of preterm children and the English and Romanian Adoptees (ERA) Study of postinstitutionalized children share strikingly similar assessment methods and timing. Both studies have assessed early adversity and developmental outcomes across childhood. Thus, to identify the extent to which early biological (VP/VLBW birth) or environmental (institutional deprivation) adversities shape the development of temperament in similar or different ways (see Figure 1), the current study investigated the temperament of VP/VLBW and postinstitutionalized children at age 6 years. Based on the literature, we hypothesized the following: (1) VP/VLBW and postinstitutionalized children would show similarly aberrant temperamental profiles across three domains of temperament: effortful control, emotionality, and sociability, but (2) different profiles for activity (i.e., elevated in postinstitutionalized) and (3) shyness (i.e., elevated in VP/VLBW).

Method

Data from the BLS and ERA were harmonized (as described below) and compared. The studies of both unique cohorts have comparatively assessed early adversity, temperament, and developmental outcomes across childhood with similar methods and timing. The current study included data from both studies from birth until the age of 6 years.

Sample Description and Participants

English and Romanian Adoptees Study (ERA)

The original study drew from 324 Romanian children that had been adopted into English families between February 1990 and September 1992 through the UK Department of Health and the Home Office (Rutter, Reference Rutter1998). All children were younger than 42 months at time of entry to the UK, and stratified sampling was applied within specific 6-month age bands. The target number of children was 13 boys and 13 girls placed between 0 and 3 months, 13 boys and 13 girls placed between 3 and 6 months, and 10 children of each gender for each of the subsequent 6-month age band up to 42 months. Random selection was used within age bands, but older age bands had fewer children than the target, so all were included in these cases. The final sample consisted of 165 Romanian children, 144 of whom were adopted from institutions and 21 from very depriving family settings. Of the 144 postinstitutionalized children, 123 (85%) had spent their entire life in the institutional setting prior to entering the UK, so the time of placement typically indicated the amount of time in institutional rearing. A further 10% had spent at least half of their life in an institution, and another 5% had shorter periods of institutionalization. A comparison group of within-UK adoptees that had not experienced previous institutional care or other forms of severe abuse or neglect and had been placed with their families before six months of age was recruited through local authorities and voluntary adoption agencies. Further details regarding the sample are presented in Rutter, Sonuga-Barke, & Castle (Reference Rutter, Sonuga-Barke and Castle2010). Because prior research has established a distinction in the effects of institutional deprivation that lasts less than 6 months from deprivation that lasts longer (Kreppner et al., Reference Kreppner, Rutter, Beckett, Castle, Colvert, Groothues and Sonuga-Barke2007), the current study only included children that spent more than 6 months in depriving conditions and that were assessed at 6 years of age (n = 101) as well as the respective comparison group (n = 52).

Bavarian Longitudinal Study (BLS)

The Bavarian Longitudinal Study is a prospective geographically defined whole population study of neonatal at-risk children. Of all the infants born between January 1985 and March 1986 in Bavaria, 682 were VP/VLBW. One hundred and seventy-three of these children died during the initial hospitalization and 7 died during the first 6 years of life. Seven parents did not consent to participate, and 47 families were excluded because they could not be assessed due to language barriers. Of the VLBW/VP group, 316 participated in the 6-year follow up. In addition, from 916 healthy infants born after 36 weeks who received normal postnatal care in the same hospitals in Bavaria, 350 were recruited at birth during the same period and selected to match the overall distribution of child sex, family socioeconomic status, and maternal age of the VLBW⁄VP group. Of the comparison group, 342 participated in the 6-year follow up. Further details of the study design are outlined elsewhere (Jaekel, Wolke, & Chernova, Reference Jaekel, Wolke and Chernova2012). After matching BLS participants based on ERA demographics (see the Measures section), the final BLS sample included 299 VP/VLBW children and 311 healthy full-term controls.

Measures

Gestational age and birth weight

In the BLS, gestational age was determined from maternal reports of the last menstrual period and serial ultrasounds during pregnancy, and birth weight was obtained from hospital birth records. In the ERA, birth weight was obtained from children's adoption records. Gestational age data was not available.

Demographic variables

In the BLS, family socioeconomic status (SES) was based on maternal and paternal highest education and occupational status and coded into the following six categories: (a) lower lower class, (b) upper lower class, (c) lower middle class, (d) upper middle class, (e) lower upper class, and (f) upper upper class (Bauer, Reference Bauer1988). In the ERA, SES was determined from paternal and maternal occupational status with the register's general social class classifications, yielding the following “household status” categories: (a) unskilled occupations; (b) partly skilled occupations; (c) skilled occupations, manual; (d) skilled occupations, non-manual; (e) managerial and technical occupations; and (f) professional occupations. Because there were no individuals in the lowest SES category in the ERA, BLS individuals in the lowest SES category were excluded for the current analyses in order to match ERA demographics. Categories in both samples were then recoded to range from 1 (low SES) to 5 (high SES).

Parent report of child's temperament

When the children in each cohort were six years old, their parents completed the Emotionality, Activity, and Sociability (EAS) questionnaire, parent version (Buss & Plomin, Reference Buss and Plomin1984). Because the BLS and ERA used slightly different versions of the assessment, responses were harmonized at the item level for this comparison (for details, see the Appendix) and exploratory factor analyses were performed to ensure appropriate factor loadings. There was acceptable reliability for the temperament subscales in both samples (Cronbach alpha for sociability: BLS = .74, ERA = .79; shyness: BLS = .96, ERA = .71; activity: BLS = .75, ERA = .88; emotionality: BLS = .70, ERA = .70; effortful control: BLS = .82, ERA = .73), thus confirming construct validity across populations.

Statistical analyses

All of the analyses were performed using SPSS v. 24 (Chicago, IL). Continuous scores on the temperament assessment subscales were z-standardized based on each study's control group scores. Bootstrapped independent samples t tests were performed to compare the means and 95% confidence intervals for scores between index groups and their respective controls (Figure 2). Additionally, linear regressions, controlling for relevant study-specific confounders, were performed to estimate the difference in z-scores between each risk group and its respective control group within each study (i.e., BLS and ERA). Finally, linear regressions were performed to compare z-scores between both risk groups (VP/VLBW vs. postinstitutionalized) across studies, controlling for relevant confounders.

Figure 2. Comparison of temperament scores for VP/VLBW (BLS; n = 299) and postinstitutionalized (ERA; n = 101) children z-standardized according to respective controls (BLS n = 311; ERA n = 52). Error bars denote 95% confidence interval. *Indicates difference between risk groups (VP/VLBW vs. postinstitutionalized) is significant at the <.05 level controlled for socioeconomic status.

Results

Descriptive characteristics for each risk sample and its respective control group are presented in Table 1. Per study design in the BLS, the VP/VLBW group differed from its respective control group in birth weight and gestational age, but there were no significant differences in child sex or SES. In the ERA, the postinstitutionalized group differed statistically from its respective control group in child sex and birth weight (i.e., fewer males and lower birth weight than controls) as well as history of institutionalization.

Table 1. Descriptive background characteristics of VP/VLBW and postinstitutionalized children compared with their respective control groups

Note: BLS = Bavarian Longitudinal Study; ERA = English and Romanian Adoptees Study; VP/VLBW = very preterm and/or very low birthweight. The data are presented as Mean (Standard Deviation) for interval-scaled variables and as percentages for categorical variables. Due to missing information, the size of the ERA postinstitutionalized sample for birthweight was n = 87. In the ERA, gestational age data were not available (n/a). None of the BLS participants experienced institutional deprivation. *p < .05 ** p < .01 ***p <. 001.

Table 2 displays the means of temperament z-scores and standardized regression coefficients, indicating differences in scores for each study's risk group compared with its respective control group. Sex and birthweight were controlled in the ERA regression analyses because these demographic variables were statistically different between the risk and control groups. Because there were missing data on birthweight for the postinstitutionalized group, the results are presented separately, controlling for sex only (i.e., full data; n = 101) and controlling for both sex and birthweight (n = 87). Table 2 shows that the significance of the results remained the same in both cases.

Table 2. Z-scores in risk groups (VP/VLBW or postinstitutionalized) compared with their respective study-specific control group

Note: BLS = Bavarian Longitudinal Study; ERA = English and Romanian Adoptees Study; VP/VLBW = very preterm and/or very low birthweight. The data are presented as Mean (Standard Deviation). Z-scores are standardized on study-specific controls (BLS: n = 311; ERA: n = 52). The standardized regression coefficient was controlled for sex. ^The standardized regression coefficient was controlled for both sex and birthweight. Due to missing information, the sizes of the postinstitutionalized samples are as follows: effortful control n = 100, activity n = 94, emotionality n = 98, sociability n = 100, birthweight n = 87. *p < .05 ** p < .01 ***p < .001.

Table 3 presents the comparison of descriptive characteristics between both risk groups (VP/VLBW and postinstitutionalized) across studies. By study design, the risk groups differed in birth weight. Because the groups also differed in SES, the analyses were controlled for SES.

Table 3. Comparison of background characteristics and z-scores between VP/VLBW and postinstitutionalized groups

Note: BLS= Bavarian Longitudinal Study; ERA= English and Romanian Adoptees Study; VP/VLBW= very preterm and/or very low birthweight. The data are presented as Mean (Standard Deviation) for interval-scaled variables and as percentages for categorical variables. Z-scores are standardized on study-specific controls (BLS: n = 311; ERA: n = 52). The standardized regression coefficient was controlled for SES. Due to missing information, the sizes of the ERA samples are as follows: effortful control n = 100, activity n = 94, emotionality n = 98, sociability n = 100, birthweight n = 87. None of the BLS participants experienced institutional deprivation. *p < .05 ***p <. 001.

Figure 2 displays the comparison of z-scores (a) for each risk group compared with its respective control group and (b) between both risk groups across studies. As hypothesized, VP/VLBW and postinstitutionalized children showed similarly aberrant temperamental profiles in terms of significantly lower effortful control, VP/VLBW = −0.50, 95% CI [−0.67, −0.33]; postinstitutionalized = −0.48, 95% CI [−0.82, −0.14], than their respective controls. There were no significant effects in either study for emotionality and sociability. In line with hypothesis 2, significantly higher activity than that found in the respective study-specific control group was seen only in the postinstitutionalized group, 0.35, 95% CI [0.02, 0.68]. Activity z-scores were also significantly higher in the postinstitutionalized group than in the VP/VLBW group, controlled for SES, -0.12, 95% CI [−0.53, −.04]. Interestingly, contrary to hypothesis 3, significantly lower shyness than in the study-specific control group was seen only in the VP/VLBW group, −0.17, 95% CI [−0.33 −0.01]; however, shyness z-scores were not statistically different between the VP/VLBW and postinstitutionalized groups.

Discussion

Uncovering mechanisms through which early adversity influences children's later functional outcomes is essential to the identification of risk factors and early interventions. This is the first study to directly compare the effects of severe preterm birth and extended institutional deprivation on children's temperament at 6 years. Consistent with our first hypothesis, our findings revealed that VP/VLBW and postinstitutionalized children showed similarly aberrant temperamental profiles in effortful control. In line with our second hypothesis, only postinstitutionalized children showed higher activity than their study-specific controls; these activity scores were also significantly higher when compared directly with the VP/VLBW group. In contrast and inconsistent with our hypothesis, only the VP/VLBW group showed significantly lower shyness than their respective controls, but these scores were not significantly different when compared with those of the postinstitutionalized group. These findings suggest that impaired effortful control abilities may underlie the similarities in long-term functional problems associated with both preterm birth and extreme institutional deprivation (Eryigit Madzwamuse, Baumann, Jaekel, Bartmann, & Wolke, Reference Eryigit Madzwamuse, Baumann, Jaekel, Bartmann and Wolke2015; Sonuga-Barke et al., Reference Sonuga-Barke, Kennedy, Kumsta, Knights, Golm, Rutter and Kreppner2017).

Consistent with previous work, our findings indicate that early adversity—including both preterm birth and institutional deprivation—is associated with poorer effortful control abilities (Anderson & Doyle, Reference Anderson and Doyle2004; Gunnar & Van Dulmen, Reference Gunnar and Van Dulmen2007; Jaekel, Eryigit-Madzwamuse, & Wolke, Reference Jaekel, Eryigit-Madzwamuse and Wolke2016). These findings suggest that effortful control abilities are more vulnerable to a sensitive period of development in the earliest months of life than are other dimensions of temperament (Henrichs & Van den Bergh, Reference Henrichs, Van den Bergh, Gendolla, Tops and Koole2015). Given that children and adolescents’ self-control has also been shown to be malleable (Diamond & Lee, Reference Diamond and Lee2011; Piquero, Jennings, & Farrington, Reference Piquero, Jennings and Farrington2010) and that even small increases in childhood self-control confer long-term benefits (Moffitt et al., Reference Moffitt, Arseneault, Belsky, Dickson, Hancox, Harrington and Sears2011), understanding its role in developmental cascades leading from early adversity to adulthood outcomes could shed light on optimal windows for intervention for preterm and postinstitutionalized children. For instance, in a large representative sample, Moffitt and colleagues (Reference Moffitt, Arseneault, Belsky, Dickson, Hancox, Harrington and Sears2011) found that decision-making in adolescence partially mediated the link between childhood self-control and adulthood functioning. Similarly, future studies could test whether comparable mechanisms are evident in preterm and postinstitutionalized samples, or whether different pathways characterize trajectories after such extreme early adverse experiences. Because childhood self-control has been shown to predict adulthood outcomes across various sectors of economic burden with strong effect sizes (Caspi et al., Reference Caspi, Houts, Belsky, Harrington, Hogan, Ramrakha and Moffitt2017), it is critical to understand how different types of early adverse experiences influence individual differences in effortful control and to what extent these may predict the increased difficulties that burden preterm and postinstitutionalized adults.

Furthermore, whether the overlap in the timing and nature of adversities in the two samples included in the current study underlie these similarities in poor effortful control abilities should be further explored. For instance, the restricted caregiver contact in the first few months of life that was likely experienced by both groups could present a shared pathway to similar risk for poor effortful control. Moreover, poor effortful control may have been influenced by common factors that potentially predated both adverse experiences, such as genetic predisposition (Saudino, Reference Saudino2005), maternal stress during pregnancy (Davis et al., Reference Davis, Glynn, Schetter, Hobel, Chicz-Demet and Sandman2007; Lewis, Austin, Knapp, Vaiano, & Galbally, Reference Lewis, Austin, Knapp, Vaiano and Galbally2015), and in utero malnutrition (Wachs et al., Reference Wachs, Pollitt, Cueto, Jacoby and Creed-Kanashiro2005). Identifying the role of these potential influences is especially warranted, given that our study had limited prenatal information for the postinstitutionalized group, so our analyses could not control for some prenatal characteristics, such as gestational age, prenatal maternal mental health, and in utero malnutrition or exposure to toxic substances. Despite such challenges in comparing two different types of early adversities, which have also been acknowledged by other researchers (e.g., Humphreys & Zeanah, Reference Humphreys and Zeanah2015), comparisons like the one in the current study are critical to illuminate the mechanisms by which inadequate inputs of different types lead to predictable patterns of functioning (Humphreys & Zeanah, Reference Humphreys and Zeanah2015).

On the other hand, only institutional deprivation seemed to significantly influence activity, whereas there were no significant differences in activity levels between the VP/VLBW group and their respective controls. These findings are consistent with previous studies of preterm children, which have shown that inattention rather than hyperactivity/impulsivity characterizes the preterm phenotype (Jaekel et al., Reference Jaekel, Wolke and Bartmann2013; Johnson & Wolke, Reference Johnson and Wolke2013). Thus, this evidence appears to support the proposition that ADHD's hyperactive/impulsive and inattentive symptoms may emerge from distinct determinants (Sonuga-Barke, Reference Sonuga-Barke2003). Dual-pathway models of ADHD suggest that deficits in executive (i.e., cognitive) control versus motivational control differentially lead to inattentive versus hyperactive/impulsive symptoms respectively (Martel & Nigg, Reference Martel and Nigg2006; Sonuga-Barke, Reference Sonuga-Barke2005). In the current study, two distinct putative risks appear to share a neurodevelopmental pathway associated with executive functioning (i.e., effortful control, which overlaps with attention) but show distinct patterns in what may be conceptualized as motivational control (i.e., high activity levels/impulsivity). Importantly, these findings provide support for capitalizing on the study of brain development in preterm children as a model for understanding the etiology of the ADHD inattentive subtype (and its distinctions from the hyperactive subtype) in the general population (Jaekel et al., Reference Jaekel, Wolke and Bartmann2013). Moreover, prolonged lack of adequate caregiving in early life may uniquely shape the development of reward and motivation-related brain circuitry (Dillon et al., Reference Dillon, Holmes, Birk, Brooks, Lyons-Ruth and Pizzagalli2009; Mehta et al., Reference Mehta, Gore-Langton, Golembo, Colvert, Williams and Sonuga-Barke2010), contributing to the differential effects of institutional deprivation on hyperactivity.

In contrast with previous work, which has found that adults born with extremely low birth weight self-report higher shyness and lower sociability than normal birth weight controls in their early and mid 20s (Eryigit-Madzwamuse et al., Reference Eryigit-Madzwamuse, Strauss, Baumann, Bartmann and Wolke2015b; Schmidt et al., Reference Schmidt, Miskovic, Boyle and Saigal2008), the results of the current study suggest that at 6 years of age, VP/VLBW children have lower levels of shyness and no differences in sociability compared with controls. While the effects in the current study were not strong, 95% CI [−0.33 −0.01], these findings suggest that the withdrawn personality factor seen in adults born VP/VLBW (Eryigit-Madzwamuse et al., Reference Eryigit Madzwamuse, Baumann, Jaekel, Bartmann and Wolke2015) may emerge from additional socialization challenges throughout life—such as increased bullying (Wolke et al., Reference Wolke, Baumann, Strauss, Johnson and Marlow2015) or difficulties making friends (Heuser, Jaekel, & Wolke, Reference Heuser, Jaekel and Wolke2018)—rather than from biologically programmed cautiousness or inhibition in early childhood alone. Environmental influences may be especially relevant for later social problems because VP/VLBW children appear to be more vulnerable to adverse social stimulation (Jaekel, Pluess, Belsky, & Wolke, Reference Jaekel, Pluess, Belsky and Wolke2015; Wolke, Jaekel, Hall, & Baumann, Reference Wolke, Jaekel, Hall and Baumann2013). Thus, studies that explore change and continuity in trajectories of preterm children's social functioning are necessary to disentangle the role of biological and environmental factors that lead to problematic outcomes in preterm adults.

Nevertheless, it should be noted that the current study explored temperamental variation by comparing risk groups to respective controls rather than exploring behavioral problems or clinical symptoms. Although temperamental variation does not inherently indicate impairment, it may indicate the presence of a “latent vulnerability” (McCrory et al., Reference McCrory, Gerin and Viding2017) that interacts with future stressful events resulting in later behavioral difficulties. Thus, future studies should explore whether the temperamental differences seen in children that have experienced specific early adversities persist into adolescence and adulthood and how they relate to later psychopathology (Martel & Nigg, Reference Martel and Nigg2006; Nigg, Reference Nigg2006) as well as considering the role of protective factors and resilience (Van Lieshout et al., Reference Van Lieshout, Boyle, Favotto, Krzeczkowski, Savoy, Saigal and Schmidt2018; Wolke, Reference Wolke2018).

This study has several strengths. The data came from two unique longitudinal studies of children who had specific abnormal experiences in early childhood and were assessed at the same age, and it included data from matched controls. The data were harmonized at the item level making it possible to compare the results from different versions of assessments completed in different countries. Nonetheless, there are some limitations. Although the EAS questionnaire is a widely used and validated instrument (Mathiesen & Tambs, Reference Mathiesen and Tambs1999), temperament data in the current study came from parent reports only. Thus, future replications should include multi-informant and observational measures to minimize the potential for bias in parent reports (Seifer, Sameroff, Dickstein, Schiller, & Hayden, Reference Seifer, Sameroff, Dickstein, Schiller and Hayden2004). Moreover, there were birth weight differences between the risk and the control group in the ERA (i.e., the postinstitutionalized children were not VLBW on average, but they weighed less at birth than the English adoptee controls), which were thought to be deprivation-related (e.g., maternal stress and malnutrition during the Ceausescu regime). Nonetheless, as presented in Table 2, controlling for birthweight did not change the significance of findings.

In conclusion, the results of the current study add to emerging evidence of potentially shared neurodevelopmental pathways between the effects of preterm birth and institutional deprivation on temperament, while pointing to additional differential pathways leading to phenotype-specific neurodevelopmental outcomes. Effortful control abilities may underlie the similar long-term social and behavioral problems associated with both risk experiences. Future studies should explore patterns of childhood temperamental differences as potential common mediators of long-term outcomes following early adversity.

Supplementary Material

The supplementary material for this article can be found at https://doi.org/10.1017/S0954579419001457.

Acknowledgments

We thank all group members, pediatricians, psychologists, and research nurses in the Bavarian Longitudinal Study and English and Romanian Adoptees Study. We are especially thankful to all study participants and their families. Data collection in the Bavarian Longitudinal Study was supported by grants PKE24, JUG14, 01EP9504, and 01ER0801 from the German Federal Ministry of Education and Science (BMBF). Data collection in the English and Romanian Adoptees Study was supported by grants 3700295 from the UK Medical Research Council and OPD/00248/G from the UK Department of Health.

References

Aarnoudse-Moens, C. S. H., Weisglas-Kuperus, N., van Goudoever, J. B., Oosterlaan, J. (2009). Meta-analysis of neurobehavioral outcomes in very preterm and/or very low birth weight children. Pediatrics, 124, 717728. doi:10.1542/peds.2008-2816CrossRefGoogle ScholarPubMed
Anderson, P. J., & Doyle, L. W. (2004). Executive functioning in school-aged children who were born very preterm or with extremely low birth weight in the 1990s. Pediatrics, 114, 5057. doi:10.1542/peds.114.1.50CrossRefGoogle ScholarPubMed
Bauer, A. (1988). Ein Verfahren zur Messung des fuer das Bildungsverhalten relevanten Sozial Status (BRSS)—Ueberarbeitete Fassung [A measure assessing SES in Germany, revised version]. Frankffurt: Deutsches Institut fuer Internationale Paedagogische Forschung.Google Scholar
Bendersky, M., & Lewis, M. (1994). Environmental risk, biological risk, and developmental outcome. Developmental Psychology, 30, 484494. doi:10.1037/0012-1649.30.4.484CrossRefGoogle Scholar
Bos, K., Zeanah, C. H., Fox, N. A., Drury, S. S., McLaughlin, K. A., & Nelson, C. A. (2011). Psychiatric outcomes in young children with a history of institutionalization. Harvard Review of Psychiatry, 19, 1524. doi:10.3109/10673229.2011.549773CrossRefGoogle ScholarPubMed
Breeman, L., Jaekel, J., Baumann, N., Bartmann, P., & Wolke, D. (2016). Attention problems in very preterm children from childhood to adulthood: The Bavarian Longitudinal Study. Journal of Child Psychology and Psychiatry, 57, 132140. doi:10.1111/jcpp.12456CrossRefGoogle ScholarPubMed
Breeman, L. D., Jaekel, J., Baumann, N., Bartmann, P., & Wolke, D. (2015). Preterm cognitive function into adulthood. Pediatrics, 136, 415423. doi:10.1542/peds.2015-0608CrossRefGoogle ScholarPubMed
Bruce, J., Tarullo, A. R., & Gunnar, M. R. (2009). Disinhibited social behavior among internationally adopted children. Development and Psychopathology, 21, 157171. doi:10.1017/S0954579409000108CrossRefGoogle ScholarPubMed
Buss, A. H., & Plomin, R. (1984). Temperament: Early developing personality traits. Hillsdale, N.J: L. Erlbaum Associates.Google Scholar
Caspi, A., Houts, R. M., Belsky, D. W., Harrington, H., Hogan, S., Ramrakha, S., … Moffitt, T. E. (2017). Childhood forecasting of a small segment of the population with large economic burden. Nature Human Behaviour, 1, article 0005. doi:10.1038/s41562-016-0005CrossRefGoogle Scholar
Castle, J., Groothues, C., Bredenkamp, D., Beckett, C., O'Connor, T., & Rutter, M. (1999). Effects of qualities of early institutional care on cognitive attainment. American Journal of Orthopsychiatry, 69, 424437. doi:10.1037/h0080391CrossRefGoogle ScholarPubMed
Chawanpaiboon, S., Vogel, J. P., Moller, A.-B., Lumbiganon, P., Petzold, M., Hogan, D., … Gülmezoglu, A. M. (2019). Global, regional, and national estimates of levels of preterm birth in 2014: A systematic review and modelling analysis. The Lancet Global Health, 7, e37e46. doi:10.1016/S2214-109X(18)30451-0CrossRefGoogle ScholarPubMed
Cheong, J. L., Doyle, L. W., Burnett, A. C., Lee, K. J., Walsh, J. M., Potter, C. R., … Anderson, P. J. (2017). Association between moderate and late preterm birth and neurodevelopment and social-emotional development at age 2 years. JAMA Pediatrics, 171, e164805e164805.CrossRefGoogle ScholarPubMed
Davis, E. P., Glynn, L. M., Schetter, C. D., Hobel, C., Chicz-Demet, A., & Sandman, C. A. (2007). Prenatal exposure to maternal depression and cortisol influences infant temperament. Journal of the American Academy of Child & Adolescent Psychiatry, 46, 737746. doi:10.1097/chi.0b013e318047b775CrossRefGoogle ScholarPubMed
Delobel-Ayoub, M., Kaminski, M., Marret, S., Burguet, A., Marchand, L., N′Guyen, S., … Larroque, B. (2006). Behavioral Outcome at 3 Years of Age in Very Preterm Infants: The EPIPAGE Study. Pediatrics, 117, 19962005.CrossRefGoogle ScholarPubMed
Desplats, P. A. (2015). Perinatal programming of neurodevelopment: Epigenetic mechanisms and the prenatal shaping of the brain. Advances in Neurobiology, 10, 335361. doi: 10.1007/978-1-4939-1372-5_16CrossRefGoogle ScholarPubMed
Diamond, A., & Lee, K. (2011). Interventions shown to aid executive function development in children 4 to 12 years old. Science, 333, 959964. doi:10.1126/science.1204529CrossRefGoogle ScholarPubMed
Dillon, D. G., Holmes, A. J., Birk, J. L., Brooks, N., Lyons-Ruth, K., & Pizzagalli, D. A. (2009). Childhood adversity is associated with left basal ganglia dysfunction during reward anticipation in adulthood. Biological Psychiatry, 66, 206213. doi:10.1016/j.biopsych.2009.02.019CrossRefGoogle ScholarPubMed
Dong, M., Anda, R. F., Felitti, V. J., Dube, S. R., Williamson, D. F., Thompson, T. J., … Giles, W. H. (2004). The interrelatedness of multiple forms of childhood abuse, neglect, and household dysfunction. Child Abuse & Neglect, 28, 771784. doi:10.1016/j.chiabu.2004.01.008CrossRefGoogle ScholarPubMed
Eryigit-Madzwamuse, S., Strauss, V., Baumann, N., Bartmann, P., & Wolke, D. (2015b). Personality of adults who were born very preterm. Archives of Disease in Childhood-Fetal and Neonatal Edition, 100, F524F529. doi:10.1136/archdischild-2014-308007CrossRefGoogle Scholar
Eryigit Madzwamuse, S., Baumann, N., Jaekel, J., Bartmann, P., & Wolke, D. (2015). Neuro-cognitive performance of very preterm or very low birth weight adults at 26 years. Journal of Child Psychology & Psychiatry, 56, 857864. doi:10.1111/jcpp.12358CrossRefGoogle ScholarPubMed
Gilman, S. E., Hornig, M., Ghassabian, A., Hahn, J., Cherkerzian, S., Albert, P. S., … Goldstein, J. M. (2017). Socioeconomic disadvantage, gestational immune activity, and neurodevelopment in early childhood. Proceedings of the National Academy of Sciences, 114, 67286733. doi:10.1073/pnas.1617698114Google ScholarPubMed
Goldenberg, R. L., Culhane, J. F., Iams, J. D., & Romero, R. (2008). Epidemiology and causes of preterm birth. The Lancet, 371, 7584. doi:10.1016/S0140-6736(08)60074-4CrossRefGoogle ScholarPubMed
Groh, A. M., Narayan, A. J., Bakermans-Kranenburg, M. J., Roisman, G. I., Vaughn, B. E., Fearon, R. M., & Ijzendoorn, M. H. (2017). Attachment and temperament in the early life course: A meta-analytic review. Child Development, 88, 770795. doi:10.1111/cdev.12677.CrossRefGoogle ScholarPubMed
Grunau, R. E. (2013). Neonatal pain in very preterm infants: Long-term effects on brain, neurodevelopment and pain reactivity. Rambam Maimonides Medical Journal, 4, e0025. doi:10.5041/RMMJ.10132.Google ScholarPubMed
Gunnar, M. R., & Van Dulmen, M. H. M. (2007). Behavior problems in postinstitutionalized internationally adopted children. Development and Psychopathology, 19, 129148. doi:10.1017/S0954579407070071CrossRefGoogle ScholarPubMed
Henrichs, J., & Van den Bergh, B. R. H. (2015). Perinatal developmental origins of self-regulation. In Gendolla, G. H. E., Tops, M., & Koole, S. L. (Eds.), Handbook of Biobehavioral Approaches to Self-Regulation (pp. 349370). New York, NY: Springer.Google Scholar
Heuser, K. M., Jaekel, J., & Wolke, D. (2018). Origins and predictors of friendships in 6- to 8-year-old children born at neonatal risk. The Journal of Pediatrics, 193, 93105. doi:10.1016/j.jpeds.2017.09.072CrossRefGoogle ScholarPubMed
Hughes, M. B., Shults, J., McGrath, J., & Medoff-Cooper, B. (2002). Temperament Characteristics of Premature Infants in the First Year of Life. Journal of Developmental & Behavioral Pediatrics, 23, 430435.CrossRefGoogle ScholarPubMed
Humphreys, K. L., & Zeanah, C. H. (2015). Deviations from the expectable environment in early childhood and emerging psychopathology. Neuropsychopharmacology, 40, 154170. doi:10.1038/npp.2014.165CrossRefGoogle ScholarPubMed
Jaekel, J., Eryigit-Madzwamuse, S., & Wolke, D. (2016). Preterm toddlers’ inhibitory control abilities predict attention regulation and academic achievement at age 8 years. The Journal of Pediatrics, 169, 8792.e1. doi:10.1016/j.jpeds.2015.10.029CrossRefGoogle ScholarPubMed
Jaekel, J., Pluess, M., Belsky, J., & Wolke, D. (2015). Effects of maternal sensitivity on low birth weight children's academic achievement: A test of differential susceptibility versus diathesis stress. Journal of Child Psychology & Psychiatry, 56, 693701. doi:10.1111/jcpp.12331CrossRefGoogle ScholarPubMed
Jaekel, J., Wolke, D., & Bartmann, P. (2013). Poor attention rather than hyperactivity/impulsivity predicts academic achievement in very preterm and full-term adolescents. Psychological Medicine, 43, 183–96. doi:10.1017/S0033291712001031CrossRefGoogle ScholarPubMed
Jaekel, J., Wolke, D., & Chernova, J. (2012). Mother and child behaviour in very preterm and term dyads at 6 and 8 years. Child Development Perspectives, 6, 716723.Google Scholar
Johnson, S., & Wolke, D. (2013). Behavioural outcomes and psychopathology during adolescence. Early Human Development, 89, 199207. doi:10.1016/j.earlhumdev.2013.01.014CrossRefGoogle ScholarPubMed
Kennedy, M., Kreppner, J., Knights, N., Kumsta, R., Maughan, B., Golm, D., … Sonuga-Barke, E. J. S. (2016). Early severe institutional deprivation is associated with a persistent variant of adult attention-deficit/hyperactivity disorder: Clinical presentation, developmental continuities and life circumstances in the English and Romanian Adoptees study. Journal of Child Psychology and Psychiatry, 57, 11131125. doi:10.1111/jcpp.12576CrossRefGoogle ScholarPubMed
Kreppner, J. M., O'Connor, T. G., Dunn, J., & Andersen-Wood, L. (1999). The pretend and social role play of children exposed to early severe deprivation. British Journal of Developmental Psychology, 17, 319332. doi:10.1348/026151099165302CrossRefGoogle Scholar
Kreppner, J. M., O'connor, T. G., Rutter, M., & the English and Romanian Adoptees Team. (2001). Can inattention/overactivity be an institutional deprivation syndrome? Journal of Abnormal Child Psychology, 29, 513528.CrossRefGoogle ScholarPubMed
Kreppner, J. M., Rutter, M., Beckett, C., Castle, J., Colvert, E., Groothues, C., … Sonuga-Barke, E. J. S. (2007). Normality and impairment following profound early institutional deprivation: A longitudinal follow-up into early adolescence. Developmental Psychology, 43, 931946. doi:10.1037/0012-1649.43.4.93CrossRefGoogle ScholarPubMed
Kumsta, R., Kreppner, J. M., Rutter, M., Beckett, C., Castle, J., Stevens, S., & Sonuga-Barke, E. J. III (2010). Deprivation-specific psychological patterns. Monographs of the Society For Research in Child Development, 75, 4878. 10.1111/j.1540-5834.2010.00550.xCrossRefGoogle ScholarPubMed
Lewis, A. J., Austin, E., Knapp, R., Vaiano, T., & Galbally, M. (2015). Perinatal maternal mental health, fetal programming and child development. Healthcare, 3, 12121227. doi:10.3390/healthcare3041212CrossRefGoogle ScholarPubMed
Lindström, K., Lindblad, F., & Hjern, A. (2011). Preterm birth and attention-deficit/hyperactivity disorder in schoolchildren. Pediatrics, 127, 858865. doi:10.1542/peds.2010-1279CrossRefGoogle ScholarPubMed
Linsell, L., Malouf, R., Morris, J., Kurinczuk, J. J., & Marlow, N. (2015). Prognostic factors for poor cognitive development in children born very preterm or with very low birth weight: A systematic review. JAMA Pediatrics, 169, 11621172. doi:10.1001/jamapediatrics.2015.2175CrossRefGoogle ScholarPubMed
Martel, M. M., & Nigg, J. T. (2006). Child ADHD and personality/temperament traits of reactive and effortful control, resiliency, and emotionality. Journal of Child Psychology and Psychiatry, 47, 11751183. doi:10.1111/j.1469-7610.2006.01629.xCrossRefGoogle ScholarPubMed
Mathiesen, K. S., & Tambs, K. (1999). The EAS Temperament Questionnaire—Factor structure, age trends, reliability, and stability in a Norwegian sample. The Journal of Child Psychology and Psychiatry and Allied Disciplines, 40, 431439. doi:10.1111/1469-7610.00460CrossRefGoogle Scholar
McCall, R. B. (2013). The consequences of early institutionalization: Can institutions be improved?-should they? Child and Adolescent Mental Health, 18, 193201. doi:10.1111/camh.12025Google Scholar
McCrory, E. J., Gerin, M. I., & Viding, E. (2017). Annual research review: Childhood maltreatment, latent vulnerability and the shift to preventative psychiatry–the contribution of functional brain imaging. Journal of Child Psychology and Psychiatry, 58, 338357. doi:10.1111/jcpp.12713CrossRefGoogle ScholarPubMed
McLaughlin, K. A., Sheridan, M. A., & Lambert, H. K. (2014). Childhood adversity and neural development: Deprivation and threat as distinct dimensions of early experience. Neuroscience & Biobehavioral Reviews, 47, 578591. doi:10.1016/j.neubiorev.2014.10.012CrossRefGoogle ScholarPubMed
Mehta, M. A., Gore-Langton, E., Golembo, N., Colvert, E., Williams, S. C. R., & Sonuga-Barke, E. (2010). Hyporesponsive reward anticipation in the basal ganglia following severe institutional deprivation early in life. Journal of Cognitive Neuroscience, 22, 23162325. doi:10.1162/jocn.2009.21394CrossRefGoogle ScholarPubMed
Milgrom, J., Newnham, C., Anderson, P. J., Doyle, L. W., Gemmill, A. W., Lee, K., … Inder, T. (2010). Early sensitivity training for parents of preterm infants: Impact on the developing brain. Pediatric Research, 67, 330335. doi:10.1203/PDR.0b013e3181cb8e2fCrossRefGoogle ScholarPubMed
Moffitt, T. E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R. J., Harrington, H., … Sears, M. R. (2011). A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of the National Academy of Sciences, 108, 26932698. doi:10.1073/pnas.1010076108CrossRefGoogle ScholarPubMed
Montagna, A., & Nosarti, C. (2016). Socio-emotional development following very preterm birth: Pathways to psychopathology. Frontiers in Psychology, 7, 123. doi:10.3389/fpsyg.2016.00080CrossRefGoogle ScholarPubMed
Morrison, L. (2004). Ceausescu's legacy: Family struggles and institutionalization of children in Romania. Journal of Family History, 29, 168182. doi:10.1177/0363199004264899CrossRefGoogle Scholar
Narberhaus, A., Segarra, D., Caldú, X., Giménez, M., Junqué, C., Pueyo, R., & Botet, F. (2007). Gestational age at preterm birth in relation to corpus callosum and general cognitive outcome in adolescents. Journal of Child Neurology, 22, 761765. doi:10.1177/0883073807304006CrossRefGoogle ScholarPubMed
Nigg, J. T. (2006). Temperament and developmental psychopathology. Journal of Child Psychology and Psychiatry, 47, 395422. doi:10.1111/j.1469-7610.2006.01612.xCrossRefGoogle ScholarPubMed
Piquero, A. R., Jennings, W. G., & Farrington, D. P. (2010). On the malleability of self-control: Theoretical and policy implications regarding a general theory of crime. Justice Quarterly, 27, 803834. doi:10.1080/07418820903379628CrossRefGoogle Scholar
Pyhälä, R., Räikkönen, K., Pesonen, A.-K., Heinonen, K., Hovi, P., Eriksson, J. G., … Kajantie, E. (2009). Behavioral inhibition and behavioral approach in young adults with very low birth weight—The Helsinki study of very low birth weight adults. Personality and Individual Differences, 46, 106110. doi:10.1016/j.paid.2008.09.013CrossRefGoogle Scholar
Räisänen, S., Gissler, M., Saari, J., Kramer, M., & Heinonen, S. (2013). Contribution of risk factors to extremely, very and moderately preterm births–register-based analysis of 1,390,742 singleton births. PLoS One, 8, e60660. doi:10.1371/journal.pone.0060660CrossRefGoogle ScholarPubMed
Rathbone, R., Counsell, S. J., Kapellou, O., Dyet, L., Kennea, N., Hajnal, J., … Edwards, A. D. (2011). Perinatal cortical growth and childhood neurocognitive abilities. Neurology, 77, 15101517. doi:10.1212/WNL.0b013e318233b215CrossRefGoogle ScholarPubMed
Reyes, L. M, Jaekel, J., & Wolke, D. (2019). Effects of preterm birth and early parenting on social inhibition at age six years. Children, 6, E81. doi:10.3390/children6070081CrossRefGoogle Scholar
Ritchie, K., Bora, S., & Woodward, L. J. (2015). Social development of children born very preterm: A systematic review. Developmental Medicine & Child Neurology, 57, 899918. doi:10.1111/dmcn.12783CrossRefGoogle ScholarPubMed
Rothbart, M. K. (2007). Temperament, development, and personality. Current Directions in Psychological Science, 16, 207212. doi:10.1111/j.1467-8721.2007.00505.xCrossRefGoogle Scholar
Roy, P., Rutter, M., & Pickles, A. (2004). Institutional care: Associations between overactivity and lack of selectivity in social relationships. Journal of Child Psychology & Psychiatry & Allied Disciplines, 45, 866873. doi:10.1111/j.1469-7610.2004.00278.xCrossRefGoogle ScholarPubMed
Rutter, M. (1998). Developmental catch-up, and deficit, following adoption after severe global early privation. Journal of Child Psychology and Psychiatry, 39, 465476. doi:10.1111/1469-7610.00343CrossRefGoogle ScholarPubMed
Rutter, M., Colvert, E., Kreppner, J., Beckett, C., Castle, J., Groothues, C., … Sonuga-Barke, E. J. S. (2007). Early adolescent outcomes for institutionally-deprived and non-deprived adoptees. I: Disinhibited attachment. Journal of Child Psychology and Psychiatry, 48, 1730. doi:10.1111/j.1469-7610.2006.01688.xCrossRefGoogle ScholarPubMed
Rutter, M., Sonuga-Barke, E. J., & Castle, J. (2010). I. Investigating the impact of early institutional deprivation on development: Background and research strategy of the English and Romanian Adoptees (ERA) study. Monographs of the Society for Research in Child Development, 75, 120. doi:10.1111/j.1540-5834.2010.00548.xCrossRefGoogle ScholarPubMed
Saudino, K. J. (2005). Behavioral genetics and child temperament. Journal of Developmental and Behavioral Pediatrics, 26, 214223.CrossRefGoogle ScholarPubMed
Schmidt, L. A., Miskovic, V., Boyle, M. H., & Saigal, S. (2008). Shyness and timidity in young adults who were born at extremely low birth weight. Pediatrics, 122, e181e187. doi:10.1542/peds.2007-3747CrossRefGoogle ScholarPubMed
Seifer, R., Sameroff, A., Dickstein, S., Schiller, M., & Hayden, L. C. (2004). Your own children are special: Clues to the sources of reporting bias in temperament assessments. Infant Behavior and Development, 27, 323341. doi:10.1016/j.infbeh.2003.12.005CrossRefGoogle Scholar
Shiner, R. L., Buss, K. A., Mcclowry, S. G., Putnam, S. P., Saudino, K. J., & Zentner, M. (2012). What is temperament now? Assessing progress in temperament research on the twenty-fifth anniversary of Goldsmith et al., 1987. Child Development Perspectives, 6, 436444.Google Scholar
Sonuga-Barke, E. J. (2003). The dual pathway model of AD/HD: An elaboration of neuro-developmental characteristics. Neuroscience & Biobehavioral Reviews, 27, 593604. doi:10.1016/j.neubiorev.2003.08.005CrossRefGoogle ScholarPubMed
Sonuga-Barke, E. J. (2005). Causal models of attention-deficit/hyperactivity disorder: From common simple deficits to multiple developmental pathways. Biological Psychiatry, 57, 12311238. doi:10.1016/j.biopsych.2004.09.008CrossRefGoogle ScholarPubMed
Sonuga-Barke, E. J., Kennedy, M., Kumsta, R., Knights, N., Golm, D., Rutter, M., … Kreppner, J. (2017). Child-to-adult neurodevelopmental and mental health trajectories after early life deprivation: The young adult follow-up of the longitudinal English and Romanian Adoptees study. The Lancet, 389, 15391548. doi:10.1016/S0140-6736(17)30045-4CrossRefGoogle Scholar
Sonuga-Barke, E. J., Schlotz, W., & Kreppner, J. (2010). Differentiating developmental trajectories for conduct, emotion, and peer problems following early deprivation. Monographs of the Society for Research in Child Development, 75, 102124. doi:10.1111/j.1540-5834.2010.00552.xCrossRefGoogle ScholarPubMed
Stevens, S. E., Sonuga-Barke, E. J. S., Kreppner, J. M., Beckett, C., Castle, J., Colvert, E., … Rutter, M. (2008). Inattention/overactivity following early severe institutional deprivation: Presentation and associations in early adolescence. Journal of Abnormal Child Psychology, 36, 385398. doi:10.1007/s10802-007-9185-5CrossRefGoogle ScholarPubMed
Tarullo, A. R., Bruce, J., & Gunnar, M. R. (2007). False belief and emotion understanding in post-institutionalized children. Social Development, 16, 5778. doi:10.1111/j.1467-9507.2007.00372.xCrossRefGoogle Scholar
Van Lieshout, R. J., Boyle, M. H., Favotto, L., Krzeczkowski, J. E., Savoy, C., Saigal, S., & Schmidt, L. A. (2018). Impact of extremely low-birth-weight status on risk and resilience for depression and anxiety in adulthood. Journal of Child Psychology and Psychiatry, 59, 596603. doi:10.1111/jcpp.12826CrossRefGoogle ScholarPubMed
Volpe, J. J. (2009). Brain injury in premature infants: A complex amalgam of destructive and developmental disturbances. The Lancet Neurology, 8, 110124. doi:10.1016/S1474-4422(08)70294-1CrossRefGoogle ScholarPubMed
Wachs, T. D., Pollitt, E., Cueto, S., Jacoby, E., & Creed-Kanashiro, H. (2005). Relation of neonatal iron status to individual variability in neonatal temperament. Developmental Psychobiology, 46, 141153. doi:10.1002/dev.20049CrossRefGoogle ScholarPubMed
Williamson, K. E., & Jakobson, L. S. (2014). Social attribution skills of children born preterm at very low birth weight. Development and Psychopathology, 26, 889900. doi:10.1017/S0954579414000522CrossRefGoogle ScholarPubMed
Wolke, D. (2018). Commentary: Preterm birth: High vulnerability and no resiliency? Reflections on van Lieshout et al (2018). Journal of Child Psychology and Psychiatry, 59, 1210–1204. doi:10.1111/jcpp.12971CrossRefGoogle Scholar
Wolke, D., Baumann, N., Strauss, V., Johnson, S., & Marlow, N. (2015). Bullying of preterm children and emotional problems at school age: Cross-culturally invariant effects. The Journal of Pediatrics, 166, 14171422. doi:10.1016/j.jpeds.2015.02.055CrossRefGoogle ScholarPubMed
Wolke, D., Jaekel, J., Hall, J., & Baumann, N. (2013). Effects of sensitive parenting on the academic resilience of very preterm and very low birth weight adolescents. Journal of Adolescent Health, 53, 642647. doi:10.1016/j.jadohealth.2013.06.014CrossRefGoogle ScholarPubMed
Woodward, L. J., Moor, S., Hood, K. M., Champion, P. R., Foster-Cohen, S., Inder, T. E., & Austin, N. C. (2009). Very preterm children show impairments across multiple neurodevelopmental domains by age 4 years. Archives of Disease in Childhood-Fetal and Neonatal Edition. 94, F339F344. doi:10.1136/adc.2008.146282CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Hypothetical model of the type/quality and timing of early adverse influences on temperament formation. Shading represents potential overlap in timing of stressful experiences. Although this model presents preterm birth and institutional deprivation as distinguishable experiences at different time points, it is also possible that overlap existed in prenatal experiences of institutionalized children (e.g., influenced by maternal stress, in utero malnutrition, and/or exposure to harmful substances) with those of preterm children. Due to limited data on prenatal experiences for institutionalized children, this possibility could not be tested in the current study.

Figure 1

Figure 2. Comparison of temperament scores for VP/VLBW (BLS; n = 299) and postinstitutionalized (ERA; n = 101) children z-standardized according to respective controls (BLS n = 311; ERA n = 52). Error bars denote 95% confidence interval. *Indicates difference between risk groups (VP/VLBW vs. postinstitutionalized) is significant at the <.05 level controlled for socioeconomic status.

Figure 2

Table 1. Descriptive background characteristics of VP/VLBW and postinstitutionalized children compared with their respective control groups

Figure 3

Table 2. Z-scores in risk groups (VP/VLBW or postinstitutionalized) compared with their respective study-specific control group

Figure 4

Table 3. Comparison of background characteristics and z-scores between VP/VLBW and postinstitutionalized groups

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