| Literature DB >> 28989948 |
Concepción Gómez Esteban1, Juan J Sánchez Carrión1, Fernando J García Selgas1, José M Segovia Guisado1.
Abstract
Background and Objective. Preterm birth has a major impact on growth, and very preterm birth is associated with disabilities in numerous developmental domains. This article describes and quantifies morbidities in a sample of 1200 ≤1500-g births in Spain between 1993 and 2011 based on parent information, and it highlights several variables that influence these morbidities. Methods. Multiple method surveys using computer-assisted telephones interviewing and computer-assisted web interviewing methods. Sample design was intentional. Most subjects were contacted via their referral hospitals. Data collection was done from April 2013 to June 2014. Prior to the survey, extensive qualitative fieldwork was conducted, including nonparticipant observation in neonatal units and the design and analysis of discussion groups and interviews with professionals and families, including preterm adolescents. Results. A total of 44.2% of the sample were experiencing morbidity (mean: 1.788 morbidities per child). The most prevalent types were learning difficulties (34.4%) and attention deficit/hyperactivity disorder (31.5%). The most influential variables were male gender, age, lower birthweight, private hospital admission for birth, scarcity of health resources in the family's residential area, non-Spanish maternal birthplace, and emotional distress in the primary carer. Conclusions. Overall, the total percentage of very low birth weight children with morbidities has decreased moderately between 1993 and 2011, thanks to major socio-sanitary improvements during this period. Biological and medical variables, rather than family factors, explain more accurately the presence of morbidities in children with birth weight ≤1500 g.Entities:
Keywords: morbidity of very preterm infants; prematurity; very-low-birth-weight
Year: 2017 PMID: 28989948 PMCID: PMC5624343 DOI: 10.1177/2333794X17733372
Source DB: PubMed Journal: Glob Pediatr Health ISSN: 2333-794X
Frequency of Morbidity Types (Temporary and Permanent)[a].
| Type of Morbidity | Response | Percentage of Cases | |
|---|---|---|---|
| n | Percentage | ||
| Learning difficulties (TM) | 173 | 19.3 | 34.4 |
| Dyslexia (TM) | 11 | 1.2 | 2.2 |
| Simple language delay (TM) | 102 | 11.4 | 20.3 |
| Specific language disorder (TM) | 24 | 2.7 | 4.8 |
| Psychomotor instability syndrome (TM) | 21 | 2.4 | 4.3 |
| Autism spectrum disorder (PMD) | 9 | 1.0 | 1.9 |
| Generalized developmental disorder (PM) | 45 | 5.0 | 8.9 |
| Attention deficit/hyperactivity disorder (PM) | 158 | 17.6 | 31.5 |
| Cerebral palsy (PM) | 59 | 6.6 | 11.7 |
| Visual impairment (PM) | 101 | 11.2 | 20.0 |
| Hearing impairment (PM) | 39 | 4.3 | 7.7 |
| Intellectual disability (PM) | 29 | 3.3 | 5.8 |
| Others | 127 | 14.1 | 25.3 |
| Total | 899 | 100.0 | 178.8 |
Abbreviations: TM, temporary morbidities; PMD, persons with multiple disabilities; PM, permanent morbidities.
It should be noted that the term “morbidities,” little known outside professional circles, was not used in this research project’s questionnaires. Instead, to make it easier for families to understand, we used “sequela,” hence the appearance of “sequelae” in some of the tables. Nevertheless, the term “morbidities” is used in this article as we consider that methodologically it is not possible to speak of “sequelae” unless there is a control group, although this distinction is not made in many studies.
Frequency of Morbidities by Date of Birth (1993-2011).
| Date of Child’s Birth | Total | |||||
|---|---|---|---|---|---|---|
| 1993-1998 | 1999-2003 | 2004-2008 | 2009-2011 | |||
| Children with morbidities | % in year span | 52.7 | 41.6 | 44.0 | 38.9 | 44.2 |
| Number | 237 | 281 | 375 | 244 | 1137 | |
Morbidity Trends (1993-2011).
| Type of Morbidity | 1993-1998 | 1999-2003 | 2004-2008 | 2009-2011 | Total | ρ | Sig. |
|---|---|---|---|---|---|---|---|
| Learning difficulties | 20.5% | 20.0% | 12.6% | 8.5% | 173 | − 0.139 | .000 |
| Dyslexia | 3.5% | 0.7% | 0.1% | 0.0% | 11 | −0.117 | .000 |
| Simple delay of language | 6.7% | 2.3% | 9.6% | 18.1% | 102 | −0.145 | .000 |
| Specific language disorder | 2.0% | 2.4% | 1.7% | 2.5% | 24 | −0.006 | .845 |
| Psychomotor instability syndrome | 2.0% | 0.2% | 2.6% | 2.5% | 21 | 0.027 | .343 |
| Autism spectrum disorder | 2.2% | 0.6% | 0.2% | 0.7% | 9 | −0.049 | .093 |
| Generalized developmental disorder | 6.7% | 2.4% | 2.8% | 4.9% | 45 | −0.030 | .293 |
| Attention deficit/hyperactivity disorder | 24.0% | 15.2% | 10.9% | 7.1% | 158 | −0.173 | .000 |
| Cerebral palsy | 6.0% | 5.3% | 5.0% | 4.5% | 59 | −0.028 | .343 |
| Visual impairment | 12.0% | 8.2% | 9.2% | 6.0% | 101 | −0.063 | .029 |
| Hearing impairment | 4.6% | 2.5% | 3.8% | 2.8% | 39 | −0.024 | .402 |
| Intellectual disability | 6.3% | 2.7% | 1.0% | 1.2% | 29 | −0.112 | .000 |
| Others | 10.4% | 12.5% | 10.8% | 10.8% | 127 | −0.017 | .566 |
| No morbidities | 47.2% | 58.3% | 56.1% | 61.0% | 636 | 0.076 | .010 |
| Total | 237 | 281 | 375 | 245 | 1138 |
Influence of Variables on the Presence/Absence of Repercussions (Morbidities)[a]. Logistic Regression Causal Model (Dependent Variable: “Presence/Absence of Repercussions”).
| Variables | B | SE | Wald | df | Sig. | Exp(B) | 95% CI for Exp(B) | |
|---|---|---|---|---|---|---|---|---|
| Low | High | |||||||
| P5_a_01(1)—Male gender | 0.913 | .188 | 23.616 | 1 | .000 | 2.492 | 1.724 | 3.602 |
| P6_a—Birth year | −0.039 | .017 | 5.160 | 1 | .023 | 0.961 | 0.929 | 0.995 |
| P8_a_2—Weight at birth | −0.002 | .000 | 24.492 | 1 | .000 | 0.998 | 0.998 | 0.999 |
| P13_a_01(1)—Mother not born in Spain | 1.181 | .416 | 8.071 | 1 | .004 | 3.258 | 1.442 | 7.359 |
| P15_a_01(1)—Birth in a private hospital | 1.175 | .450 | 6.820 | 1 | .009 | 3.240 | 1.341 | 7.828 |
| P27_a_1—Emotional distress in primary carer | 0.071 | .028 | 6.552 | 1 | .010 | 1.073 | 1.017 | 1.133 |
| P27_a_10—Shortage of sanitary resources specialized in residence locality | 0.067 | .027 | 6.264 | 1 | .012 | 1.069 | 1.015 | 1.127 |
| Constant | 1.168 | .485 | 5.806 | 1 | .016 | 3.214 | ||
Abbreviation: CI, confidence interval.
Our logistical regression model explained 20.5% (Nagelkerke’s R2) of the presence of morbidities. It correctly classified 66.2% of cases, with a sensitivity of 59.4% and a specificity of 71.9%.