scholarly journals Perinatal Risk Factors and Genu Valgum Conduce to the Onset of "Growing Pains" in Early Childhood

2016 ◽  
Author(s):  
Angelos Kaspiris ◽  
Efstathios Chronopoulos ◽  
Elias Vasiliadis
Keyword(s):  
Risk Factors ◽  
Corticosteroid Treatment ◽  
Genu Valgum ◽  
Perinatal Factors ◽  
Mineral Density ◽  
Perinatal Risk Factors ◽  
Perinatal Risk ◽  
Smoking During Pregnancy ◽  
Growing Pains ◽  
History Of

The most prevalent musculoskeletal disorder of childhood with unclear aetiology is Growing Pains (GPs). Anatomic deformities and factors that change bone turnover are implicated in GPs pathophysiology. Perinatal risk factors alter the bone metabolism affecting the bone mineral density and content. The aim of our study was to analyze the relationship between GPs, knock knees and perinatal factors. The examined population consisted of 276 children aged 3-7 years. Among them 10 pairs of dizygotic twins were evaluated. The data were collected by using a combination of semi-structured questionnaires, clinical examinations and medical charts of the children and the obstetric history of the mothers. 78 children presented GPs meeting Peterson’s criteria. Genu valgum severity was a significant factor for GPs manifestation and for their increased frequency and intensity. Subsequently, perinatal factors regarding gestational age, Apgar score, head circumference (lower than 33cm) and birth length or weight (smaller than 50 cm and 3000gr, respectively) made a remarkable contribution to the development of GPs. Conversely, antenatal corticosteroid treatment, increased maternal age and maternal smoking during pregnancy were not predictive for the disorder. Our data are potentially supportive for the “bone strength” theory and for the contribution of anatomical disturbances in GPs appearance.

scholarly journals ATOPIC DERMATITIS IN CHILDREN: PREAND PERINATAL RISK FACTORS

2012 ◽  
Vol 9 (2) ◽  
pp. 19-22
Author(s):  
E B Belan ◽  
L K Gavrikov ◽  
A S Kasyanova ◽  
N A Khlynova ◽  
T L Sadchikova ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atopic Dermatitis ◽  
Early Age ◽  
Perinatal Factors ◽  
Perinatal Risk Factors ◽  
Perinatal Risk ◽  
Pregnancy Failure ◽  
Pregnancy And Delivery ◽  
Medical Reports ◽  
History Of

Background. To study the influence of some pre- and perinatal factors on risk of atopic dermatitis development in children up to 3 years old. Materials and methods. 460 newborns and children histories up to 3 years old as well as pregnancy and delivery medical reports of their mothers have been analyzed. The data were estimated differentially depending on presence or absence of atopic dermatitis in 3 years old children. Results. The most significant perinatal risk factors for development of atopic dermatitis were: family history of atopy in mother (OR 3,99 [95% CI 2,38; 6,72]), gestosis, fetoplacentary insufficiency (OR 1,65 [95% CI 1,08; 2,54]), threat of interruption of pregnancy failure (OR 1,82 [95% CI 1,21; 2,74]), fed by a milk formulas (OR 1,70 [95% CI 1,13; 2,56]), cytomegalovirus (OR 1,56 [95% CI 1,02; 2,41])and ureaplasma infection in anamnesis (OR 1,77 [95% CI 1,10; 2,78]), and antibiotics (macrolids) intake during pregnancy. Conclusions. The influence of some pre- and perinatal risk factors of atopic dermatitis in children of early age has been demonstrated.

scholarly journals Prenatal and Perinatal Factors Associated with Pediatric Autism Spectrum Disorder in East China

2021 ◽  
Author(s):  
Yu Li ◽  
Lu Han ◽  
Ning Ding ◽  
Ziyi Zhang ◽  
Yuan Lin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Typical Development ◽  
Perinatal Factors ◽  
Perinatal Risk Factors ◽  
Perinatal Risk ◽  
Prenatal Factors ◽  
History Of

Abstract Background Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent challenges in social communication and interaction and restricted/repetitive patterns of behavior, interests or activities. An increasing number of studies have revealed that environmental exposure is a potential risk factor for ASD. The relationship between prenatal and perinatal risk factors and ASD has rarely been studied in large samples in China. Therefore, in this study, we compared children with ASD with typical developing (TD) children to assess the ASD-associated prenatal and perinatal risk factors and provide effective information for ASD prevention. Methods A case-control study of 709 children with autism spectrum disorder (ASD) and 709 gender-matched children with typical development was conducted to investigate the prenatal and perinatal risk factors of children with ASD compared with children with typical development ( TD). Through a self-developed general information questionnaire, the basic information (name, age, gender), prenatal factors (parents’ age at the child’s birth, parents’ education levels, use of assisted reproductive technology, history of miscarriage, gestational diabetes mellitus, gestational hypertension), and perinatal factors (delivery mode, full-term birth, parity, birth weight) of the children in the two groups were examined. Results The prenatal and perinatal factors of the groups were submitted to univariate analysis, the parent’s age at childbirth, education level, history of miscarriage, use of ART, pregnancy-induced hypertension, and GDM differed significantly between the two groups (P<0.05), and that among perinatal factors, infant parity and maturity also differed significantly between the two groups (P<0.05). These statistically significant factors were included in a binary logistic regression model. The results showed that the prenatal factors of young maternal age at the child’s birth (≤24 years vs 25-29 years, OR=2.408,95%CI:1.335~4.345), old paternal age at the childbirth(≥45years vs≤24years, OR=4.744, 95%CI:1.281~17.570 ), pregnancy induced hypertension (OR=6.178, 95%CI:2.311~16.517) and GDM(OR=0.220,95%CI:0.149~0.324), the perinatal factors of preterm birth(OR=4.434, 95%CI:2.872~6.846) and non-firstborn child(OR=1.387, 95%CI:1.029~1.869) are likely risk factors for ASD. Conclusion We show that some prenatal and perinatal factors are associated with a high prevalence of ASD in children.

scholarly journals Perinatal Risk Factors and Genu Valgum Conducive to the Onset of Growing Pains in Early Childhood

Children ◽  
2016 ◽  
Vol 3 (4) ◽  
pp. 34 ◽  
Author(s):  
Angelos Kaspiris ◽  
Efstathios Chronopoulos ◽  
Elias Vasiliadis
Keyword(s):  
Risk Factors ◽  
Early Childhood ◽  
Genu Valgum ◽  
Perinatal Risk Factors ◽  
Perinatal Risk ◽  
Growing Pains

scholarly journals Prenatal and Perinatal Risk Factors for Autism at National Children’s Hospital

2018 ◽  
Vol 11 (02) ◽  
pp. 67-73
Author(s):  
Arjun Bhattarai ◽  
Nawaraj KC ◽  
N Subedi ◽  
Namrata KC ◽  
SM Bijukchhe ◽  
...  
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Neonatal Jaundice ◽  
Autism Spectrum ◽  
Repetitive Behaviors ◽  
Maternal Complications ◽  
Perinatal Risk Factors ◽  
Perinatal Risk ◽  
Smoking During Pregnancy ◽  
History Of

Background: Autism, or autism spectrum disorder, refers to a broad conditions characterized by challenges with social skills, repetitive behaviors, speech and nonverbal communication. Objectives: To determine the demographic profile of patients diagnosed with ASD, determine the significant prenatal and perinatal risk factors associated with ASD. Results: A total of 116 subjects were included in the study with 58 cases and 58 controls. They belong to the age ranging from 4 to 16 years old. Every case had a confirmed diagnosis of autism at NCH. There was a significant association noted between neonatal jaundice, nulliparity (OR=2.38; 95% CI, 0.85-6.8) and family history of autism (OR=5.30; 95% CI, 1.29-25.1) with ASD. Exposure to x-ray, medical problems, medicine intake and maternal complications during pregnancy were not significantly associated with ASD with OR 0.74; 95% CI, (0.12-4.15), OR 1.00; 95% CI (0.38-2.61), OR1.49; 95% CI, (0.63-3.53), and OR 1.27; 95% CI, (0.28-6.05), respectively. Conclusion: The current study indicates that the only significant predictor of ASD is a family history of autism. However, neonatal jaundice, maternal age of >40 years old, smoking during pregnancy and nulliparity showed a trend towards being risk factors for ASD. None of the other prenatal and perinatal characteristics significantly predicts ASD.

A STUDY OF DEMOGRAPHIC AND RISK FACTORS OF CHILDREN WITH AUTISM SPECTRUM DISORDER

2021 ◽  
pp. 7-9
Author(s):  
Bobby Hmar ◽  
Suresh Chakravorty ◽  
Ammu Anil ◽  
Ripunjay Khatoniar
Keyword(s):  
Risk Factors ◽  
Autism Spectrum Disorder ◽  
Birth Order ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Perinatal Risk Factors ◽  
Perinatal Risk ◽  
Lower Segment Caesarean Section ◽  
Co Morbidity ◽  
History Of

Background of the study: Various risk factors have been reported in the development of Autism spectrum Disorder. The aim of our study is to explore the demographic and perinatal risk factors implicated in the development of ASD. A retrospective study was conducted with data of 49 children with ASD and found that total 71.3% of children were male 73.5% were in rst birth order. Out of 49 children 53.1% had history of Lower Segment Caesarean Section (LSCS). Indication of LSCS due to various obstetric or perinatal risk factors were reported in 17 cases. Three children had history of low birth weight with history of admission into Neonatal ICU. The study also explore the various co morbidity and found that ADHD (20.4%) was most common comorbidity followed by Mental retardation(18.4%), ADHD and MR(12.2%), seizure disorder and MR (8.2 %). This study found that male gender, rst birth order and perinatal risk factors are implicated in the development of Autism spectrum Disorder and majority of them have one or more another neuro developmental disorder as a comorbidity.

scholarly journals 454. Perinatal Risk Factors Associated with Skin Infection Hospitalisation in Western Australian Aboriginal and Non-Aboriginal Children

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S223-S223
Author(s):  
Rosanne Barnes ◽  
Asha C Bowen ◽  
Roz Walker ◽  
Steven Y C Tong ◽  
Jodie McVernon ◽  
...  
Keyword(s):  
Risk Factors ◽  
Maternal Smoking ◽  
Skin Infection ◽  
Perinatal Risk Factors ◽  
Perinatal Risk ◽  
Smoking During Pregnancy ◽  
Factors Associated ◽  
Maternal Smoking During Pregnancy ◽  
Aboriginal Children ◽  
Western Australian

Abstract Background Hospitalisation with skin infection in Western Australian (WA) Aboriginal children is common, with the highest rates in infants and children from remote WA. We aimed to quantify infant, maternal, and sociodemographic risk factors for skin infection hospitalization in WA children, focusing on Aboriginal children aged <17 years. Methods We conducted a retrospective population-based cohort study with linked perinatal and hospitalization data on WA-born children (1996–2012), of whom 31,348 (6.7%) were Aboriginal. We used Cox regression to calculate adjusted hazard ratios and associated population attributable fractions (PAFs) for perinatal factors attributed to the first hospitalization with skin infection. To identify specific risk factors for early-onset infection, we further restricted the cohort to infants aged <1 year. Results Overall, 5,439 (17.4%) Aboriginal and 6,750 (1.5%) non-Aboriginal children were hospitalized at least once with a skin infection. Aboriginal infants aged <1 year had the highest skin infection hospitalization rate (63.2/1,000 child-years). The strongest risk factors in Aboriginal children aged <17 years were socio-economic disadvantage, very remote location at birth and multi-parity (≥3 previous pregnancies) accounting for 24%, 23% and 15% of skin infection hospitalizations, respectively. Other risk factors included maternal age <20 years, maternal smoking during pregnancy and low birthweight. Conclusion We have quantified the relative influence of perinatal risk factors associated with skin infection hospitalizations in WA children, providing measures indicating which factors have the potential to reduce the most hospitalizations. Our evidence supports existing calls for substantial government investment in addressing underlying social and environmental barriers to healthy skin in WA Aboriginal children but also identifies potential areas to target health promotion messaging at individuals/families on maternal smoking during pregnancy and skin hygiene for families. Disclosures All authors: No reported disclosures.

scholarly journals Inherent Difficulties Accounting for Prenatal and Perinatal Risk Factors in Samples of Post-institutionalized Children

2018 ◽  
Vol 3 (3) ◽  
Keyword(s):  
Risk Factors ◽  
Developmental Outcomes ◽  
Direct Result ◽  
Adopted Children ◽  
Perinatal Risk Factors ◽  
Perinatal Risk ◽  
Institutionalized Children ◽  
Foreign Countries ◽  
Internationally Adopted Children ◽  
History Of

Research on international adoption has indicated that a majority of children present with a variety of special needs [1, 2]. Researchers often cite the institutional environment as the source of special needs in foreign adopted children [3, 4]. While the current article provides a general overview of developmental delays and deficits in post-institutionalized children, the overriding tenet is a call for better identification of pre- and perinatal risk factors in post-institutionalized children. The Prenatal History “Wild Card”: Inherent Difficulties Accounting for Prenatal and Perinatal Risk Factors in Samples of Post-institutionalized Children Over the past decade and a half, an increasing body of literature pertaining to international adoption has emerged. In 2004 alone, the U.S. Department of State reported more than 20,000 children were adopted from foreign countries [2]. In the United States however, the number of international adoptions have more than doubled since 1992 [5]. While similarities exist between international and domestic adoptions, children adopted from foreign countries present a number of unique issues and challenges [6]. Many of these issues and challenges stem from the fact that internationally-adopted children are very likely to have experienced out-of-home or institutionalized care. Gunnar, Grotevant and Johnson’s survey of internationally adopted children in Minnesota for example, indicated that prior to adoption 72% had experienced multiple transitions [7]. In addition Johnson suggests that roughly the same number of children adopted from foreign countries have a history of institutionalization [6]. There is now considerable evidence linking numerous poor developmental outcomes to children with a history of institutionalization [1; 8]. These findings are not surprising when considering the likelihood of exposure to the many conditions hazardous to physical, cognitive and socio-emotional development institutionalized children may face [2]. It is now well recognized, for example, that many foreign orphanages are understaffed, and institutionalized children will likely experience malnutrition, attachment problems and cognitive delays and deficits [1]. It may be obvious to even the casual observer that poor developmental outcomes are a direct result of early caretaker neglect and insufficient stimulation in the institutionalized setting. However, the general assumption that such outcomes are a direct result of the institutionalized environment is only part of the story. Although the relative contribution of nature and nurture to human development has been argued for centuries, a current review of the literature on post-institutionalized children is overwhelmingly focused on the post-natal (nurture) influences. While it is usually recognized that pre-and-perinatal influences contribute, the recognition is typically based on assumptions and speculation without the support of empirical data. The following sections will highlight what we know about the developmental outcomes for many post-institutionalized children. In contrast, we will then see that we know very little about the specific pre- and perinatal life history factors that may have contributed to these outcomes.

Preterm Birth and Disruptive Cerebellar Development: Assessment of Perinatal Risk Factors

2006 ◽  
Vol 210 (S 5) ◽  
Author(s):  
A Messerschmidt ◽  
D Prayer ◽  
PC Brugger ◽  
G Zoder ◽  
W Sterniste ◽  
...  
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Cerebellar Development ◽  
Perinatal Risk Factors ◽  
Perinatal Risk ◽  
Development Assessment

scholarly journals P129 Predictors of low bone mineral density in rheumatoid arthritis

Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Malika A Swar ◽  
Marwan Bukhari
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Bone Mineral Density ◽  
Family History ◽  
Bone Loss ◽  
Femoral Neck ◽  
Bone Mineral ◽  
Fragility Fracture ◽  
Mineral Density ◽  
History Of

Abstract Background/Aims  Osteoporosis (OP) is an extra-articular manifestation of rheumatoid arthritis (RA) that leads to increased fracture susceptibility due to a variety of reasons including immobility and cytokine driven bone loss. Bone loss in other populations has well documented risk factors. It is unknown whether bone loss in RA predominantly affects the femoral neck or the spine. This study aimed to identify independent predictors of low bone mineral density (BMD) in patients RA at the lumbar spine and the femoral neck. Methods  This was a retrospective observational cohort study using patients with Rheumatoid arthritis attending for a regional dual X-ray absorptiometry (DEXA) scan at the Royal Lancaster Infirmary between 2004 and 2014. BMD in L1-L4 in the spine and in the femoral neck were recorded. The risk factors investigated were steroid use, family history of osteoporosis, smoking, alcohol abuse, BMI, gender, previous fragility fracture, number of FRAX(tm) risk factors and age. Univariate and Multivariate regression analysis models were fitted to explore bone loss at these sites using BMD in g/cm2 as a dependant variable. . Results  1,527 patients were included in the analysis, 1,207 (79%) were female. Mean age was 64.34 years (SD11.6). mean BMI was 27.32kg/cm2 (SD 5.570) 858 (56.2%) had some steroid exposure . 169(11.1%) had family history of osteoporosis. fragility fracture history found in 406 (26.6%). 621 (40.7%) were current or ex smokers . There was a median of 3 OP risk factors (IQR 1,3) The performance of the models is shown in table one below. Different risk factors appeared to influence the BMD at different sites and the cumulative risk factors influenced BMD in the spine. None of the traditional risk factors predicted poor bone loss well in this cohort. P129 Table 1:result of the regression modelsCharacteristicB femoral neck95% CIpB spine95%CIpAge at scan-0.004-0.005,-0.003&lt;0.01-0.0005-0.002,0.00050.292Sex-0.094-0.113,-0.075&lt;0.01-0.101-0.129,-0.072&lt;0.01BMI (mg/m2)0.0080.008,0.0101&lt;0.010.01130.019,0.013&lt;0.01Fragility fracture-0.024-0.055,0.0060.12-0.0138-0.060,0.0320.559Smoking0.007-0.022,0.0350.650.0286-0.015,0.0720.20Alcohol0.011-0.033,0.0 5560.620.0544-0.013,0.1120.11Family history of OP0.012-0.021,0.0450.470.0158-0.034,0.0650.53Number of risk factors-0.015-0.039,0.0080.21-0.039-0.075,-0.0030.03steroids0.004-0.023,0.0320.030.027-0.015,0.0690.21 Conclusion  This study has shown that predictors of low BMD in the spine and hip are different and less influential than expected in this cohort with RA . As the FRAX(tm) tool only uses the femoral neck, this might underestimate the fracture risk in this population. Further work looking at individual areas is ongoing. Disclosure  M.A. Swar: None. M. Bukhari: None.

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