Literature DB >> 29364952

Association between socioeconomic status and cerebral palsy.

Sung-Hui Tseng1,2, Jiun-Yih Lee3, Yi-Lin Chou4, Mei-Ling Sheu5, Yuan-Wen Lee6,7.   

Abstract

BACKGROUND: The present study investigated the annual prevalence of cerebral palsy (CP) among children aged <7 years in Taiwan and the association between socioeconomic status and CP prevalence.
METHODS: Data from the Taiwan National Health Insurance Research Database for the 2002-2008 period were used in this population-based study. Severe and total CP were defined according to catastrophic illness certificate and medical claim records, respectively. The annual CP prevalence was calculated as the number of children with CP among all children aged <7 years.
RESULTS: From 2002 to 2008, the annual prevalence of total and severe CP ranged from 1.9 to 2.8 and from 1.1 to 1.4 per 1000 children, respectively. Boys were 30% more likely to have CP than girls [adjusted relative risk (RR) and 95% confidence interval (CI) ranged from 1.3 (1.2-1.4) to 1.4 (1.2-1.5)]. Low family income was associated with a higher CP prevalence [adjusted RR (95% CI) ranged from 5.1 (4.2-6.2) to 6.4 (5.4-7.6)]. The prevalence of CP in rural area was higher than that in urban or suburban areas. The mortality rate of severe CP ranged from 12.2-22.7 per 1000 children within the 7 years study period.
CONCLUSIONS: The prevalence of CP in Taiwan is similar to that in Western countries. A higher prevalence of CP is associated with male sex, low income, and rural residential location. Our findings provide insights into CP epidemiology among the Chinese population.

Entities:  

Mesh:

Year:  2018        PMID: 29364952      PMCID: PMC5783397          DOI: 10.1371/journal.pone.0191724

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Cerebral palsy (CP) is the most common cause of childhood physical disability. The disabling conditions associated with CP impose considerable demands on the health, education, and social services of society. Therefore, it is imperative to obtain accurate and up-to-date estimates of the prevalence and associated risk factors of CP to project the burden of this condition and provide appropriate health resource allocations and effective preventive measures. The worldwide prevalence of CP has been reported to be 2.1 per 1000 live births [1]. However, CP appeared to be more prevalent in low- or middle-income countries than in high-income countries [1-9]. CP prevalence was about 1.8 to 2.3 cases per 1000 children in Europe, Australia, and the USA, but the prevalence was 2.9 and 3.6 per 1000 children in Uganda and Egypt respectively [8,9]. Most of the reported overall prevalence rates have indicated no substantial changes for the birth-year periods of 1985 to 2010; however, a report based on the Surveillance of Cerebral Palsy in Europe demonstrated a decline in the prevalence of CP among children with birth body weight <1500 g [10]. Studies conducted in the United States have reported that Asian children had a lower CP prevalence than Caucasian [11,12]. Furthermore, surveys in China and Hong Kong have reported that the prevalence of CP was 1.3 to 1.6 per 1000 children, which is lower than that in Western countries [13-15]. However, it is unclear whether the lower prevalence of CP in Asian children can be attributed due to ethnic disparities. Several nationwide, population-based CP registries from different continents have consistently reported a 6%−25% higher proportion of men with CP than women with CP [1,2,5]. Population-based and meta-analysis studies have also reported an association between low socioeconomic status (SES) and high CP prevalence [16-18]. In these studies, sex, ethnicity, and residential-area-based and individual-level SES influenced CP prevalence. In Taiwan, the government-run single-payer National Health Insurance affords equity and high quality medical care to more than 99% of its 23 million citizens and foreign residents [19]. CP treatment is covered under Taiwan’s National Health Insurance. Therefore, the Taiwan National Health Insurance Research Database is an excellent tool with which to investigate the prevalence of CP in Taiwan. The present study investigated the annual prevalence of CP among children in Taiwan aged <7 years and the association between CP prevalence and SES by evaluating the data from the Taiwan Health Insurance Research Database recorded from 2002 to 2008. Our findings could provide insights into CP epidemiology among the Chinese population.

Methods

Data source

The Taiwan National Health Insurance Research Database was used in this study. Taiwan’s National Health Insurance is a mandatory and single-payer program that covers 99.9% of the approximately 23 million people residing in Taiwan [19,20]. The program covers all medically necessary services, including inpatient and outpatient services, dental care, and prescription drugs. The Taiwan National Health Insurance Research Database contains de-identified registration files and original claims data for reimbursement under the national health insurance program, and these data are provided to scientists for research purposes [21]. The demographic variables of the study population, including sex, low income, and residential location, were obtained from the registry for beneficiaries files. The registry for beneficiaries files had records of low income households, however, it did not contain detailed information on family income. Therefore, children were classified into low income status according to the records of low income households. We categorized the residential locations into urban, suburban, and rural areas according to the urbanization stratification published by the Taiwan National Health Research Institute [22]. The present study used all registration files and claims data of beneficiaries younger than 7 years between 2002 and 2008 for analysis. This study was approved by the Joint Institutional Review Board of Taipei Medical University (TMU-JIRB No. 210206046).

Definition of severe CP

In the present study, children with CP were defined as those who aged 2 or older and had at least two claim records with ICD-9-CM codes 343.x within 1 year. Children with severe CP were those who had both definite CP diagnosis and moderate to severe physical or mental disability. In Taiwan, individuals diagnosed with severe and chronic diseases requiring extended treatment, such as CP, may apply for a catastrophic illness certificate. Patients with a catastrophic illness certificate are not required to make copayments for medical services. To obtain a catastrophic illness certificate, CP diagnosis must be confirmed by specialists [23]. In addition, the patient must be proven to have moderate to severe physical or mental disability by the designated hospitals [24]. Patients obtain this certificate after fulfilling the aforementioned provisions and verification by the National Health Insurance Administration. Therefore, we used the catastrophic illness registration file to define severe CP. Children having a catastrophic illness certificate with the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes 343.x were defined as having severe CP. The number of total CP was defined as the number of children who fulfilled the above-mentioned criteria of CP or severe CP.

Statistical analysis

The annual prevalence of CP was calculated by dividing the number of cases by the total number of children aged less than 7 years in the research database annually. Confidence intervals (CIs) were calculated by using the Poisson approximation to the binomial distribution. We used Poisson regression to analyze trends in prevalence over time by treating calendar year as a continuous variable. Multivariable Poisson regression was use to analyze the prevalence of CP after controlling for sex, low income, and residential area. Pearson χ2 tests were used to compare the prevalence of CP by sex, family income, and residential location. The baseline characteristics of the children, including the data on low family income and residential location, were obtained from the registry for beneficiary files. The date of death is included in the registry of catastrophic illness files. Accordingly, these death records were used to calculate the mortality rate of children with severe CP. A P-value of <0.05 was condisered statistically significant. All data were analyzed using SAS for Windows (version 9.3, SAS Institute, Cary, NC, USA).

Results

The database covered nearly 99% of age-specific children in each specific year. The basic characteristic of study population are shown in Table 1. The number of children (age <7 y) in each year in the database indicated that Taiwan has a steadily declining fertility rate. The prevalence of total CP was 1.9 per 1000 children in 2002 (Table 2). Then the annual prevalence of total CP ranged from 2.5 to 2.8 per 1000 children and remained stable between 2003 and 2008 (P for trend = 0.843). For the period 2002 to 2008, the annual prevalence of severe CP ranged from 1.1 to 1.4 per 1000 children (Table 2). The prevalence rates of severe CP thus did not vary significantly throughout the 7-year study period (P for trend = 0.333). The proportion of boys with CP was consistently higher than that of girls with CP in both total and severe CP. Boys were 30% more likely to have CP than girls [relative risk and 95% confidence interval (CI) ranged from 1.3 (1.2−1.4) to 1.4 (1.2−1.5)] (Table 3).
Table 1

Basic characteristics of children aged 0−6 years in Taiwan between 2002 and 2008.

2002N (%)2003N (%)2004N (%)2005N (%)2006N (%)2007N (%)2008N (%)
Total number of children (age: 0–6 y)2,080,2962,028,3321,899,3321,838,3581,768,3541,687,9991,599,331
Sex
    Boys1,084,811(52.2)1,059,146 (52.2)992,896 (52.3)960,989(52.3)925,018(52.3)882,736(52.3)836,910(52.3)
    Girls995,482 (47.9)969,158 (47.8)906,422 (47.7)877,360 (47.7)843,330 (47.7)805,259 (47.7)762,419 (47.7)
    Unknown3 (0.0)28 (0.0)14 (0.0)9 (0.0)6 (0.0)4 (0.0)2 (0.0)
Family income
    Low income12,892 (0.6)16,145 (0.8)16,235 (0.9)17,172 (0.9)17,128 (1.0)16,753 (1.0)16,564 (1.0)
    Middle or high income2,067,404 (99.4)2,012,187 (99.2)1,883,097 (99.2)1,821,186 (99.1)1,751,226 (99.0)1,671,246 (99.0)1,582,767 (99.0)
Residential location
    Urban860,692 (41.4)852,900 (42.1)795,749 (41.9)771,691 (42.0)741,775 (42.0)711,880 (42.2)679,115 (42.5)
    Suburban618,606 (29.7)597,343 (29.5)564,627 (29.7)549,107 (29.9)533,649 (30.2)512,141 (30.3)486,158 (30.4)
    Rural600,998 (28.9)578,089 (28.5)538,956 (28.4)517,560 (28.2)492,930 (27.9)463,978 (27.5)434,058 (27.1)
Table 2

Annual prevalence of total and severe CP in Taiwan children aged 0−6 years.

2002200320042005200620072008
Total number of children (age: 0−6 y)2,080,2962,028,3321,899,3321,838,3581,768,3541,687,9991,599,331
Total number of children (age: 0−6 y) with CP4025515753835187494146474077
Total CP prevalence (95% CI) per 1000 children1.9 (1.9−2.0)2.5 (2.5−2.6)2.8 (2.8−2.9)2.8 (2.7−2.9)2.8 (2.7−2.9)2.8 (2.7−2.8)2.5 (2.5−2.6)
Number of children (age: 0−6 y) with severe CP2270268126012432228920681763
Severe CP prevalence (95% CI) per 1000 children1.1 (1.0−1.1)1.3 (1.3−1.4)1.4 (1.3−1.4)1.3 (1.3−1.4)1.3 (1.2−1.3)1.2 (1.2−1.3)1.1 (1.1−1.2)
Table 3

Prevalence of total and severe CP according to sex.

2002200320042005200620072008
Total number of boys with CP2342302831583050293027392382
Total number of girls with CP1683212922252137201119081695
Total CP prevalence (95% CI) per 1000 children
    Boys2.2 (2.1−2.2)2.9 (2.8−3.0)3.2 (3.1−3.3)3.2 (3.1−3.3)3.2 (3.1−3.3)3.1 (3.0−3.2)2.8 (2.7−3.0)
    Girls1.7 (1.6−1.8)2.2 (2.1−2.3)2.5 (2.4−2.6)2.4 (2.3−2.5)2.4 (2.3−2.5)2.4 (2.3−2.5)2.2 (2.1−2.3)
    Relative risk (95% CI) (boys/girls)1.3 (1.2−1.4)1.3 (1.2−1.4)1.3 (1.2−1.4)1.3 (1.2−1.4)1.3 (1.3−1.4)1.3 (1.2−1.4)1.3 (1.2−1.4)
Number of boys with severe CP1326158115461452136312171037
Number of girls with severe CP94411001055980926851726
Severe CP prevalence (95% CI) per 1000 children
    Boys1.2 (1.2−1.3)1.5 (1.4−1.6)1.6 (1.5−1.6)1.5 (1.4−1.6)1.5 (1.4−1.6)1.4 (1.3−1.5)1.2 (1.2−1.3)
    Girls0.9 (0.9−1.0)1.1 (1.1−1.2)1.2 (1.1−1.2)1.1 (1.0−1.2)1.1 (1.0−1.2)1.1 (1.0−1.1)1.0 (0.9−1.0)
    Relative risk (95% CI) (boys/girls)1.3 (1.2−1.4)1.3 (1.2−1.4)1.3 (1.2−1.4)1.4 (1.2−1.5)1.3 (1.2−1.5)1.3 (1.2−1.4)1.3 (1.2−1.4)
We also investigated the association of CP prevalence with family income and residential status. Compared with children from middle- or high-income families, the children from low-income families were associated with a fivefold higher prevalence of total and severe CP [relative risk (95% CI) ranged from 4.9 (4.3−5.6) to 6.6 (5.5−7.8)] (Table 4). With regard to residential-location based SES, the prevalence of total and severe CP in rural areas was higher than that in urban or suburban areas (Table 5). On the multivariable Poisson regression model controlling for confounders, the boys, low income, and rural residential location remained associated with higher prevalence of severe CP between 2002 and 2008 (Table 6). The mortality rate of severe CP ranged from 12.2 to 22.7 per 1000 children within the 7 years study period (Table 7).
Table 4

Prevalence of total and severe CP according to family income status.

2002200320042005200620072008
Total number of children with CP
    Low income133218218249248234213
    Middle or high income3892493951654938469344133864
Total CP prevalence (95% CI) per 1000 children
    Low income10.3 (8.7−12.2)13.5 (11.8−15.4)13.4 (11.8−15.3)14.5 (12.8−16.4)14.5 (12.8−16.4)14.0 (12.3−15.9)12.9 (11.2−14.7)
    Middle or high income1.9 (1.8−1.9)2.5 (2.4−2.5)2.7 (2.7−2.8)2.7 (2.6−2.8)2.7 (2.6−2.8)2.6 (2.6−2.7)2.4 (2.4−2.5)
        Relative risk (95% CI) (low income/middle or high income)5.5 (4.6−6.5)5.5 (4.8−6.3)4.9 (4.3−5.6)5.3 (4.7−6.1)5.4 (4.8−6.1)5.3 (4.6−6.0)5.3 (4.6−6.0)
Total number of children with severe CP
    Low income77134126129121103101
    Middle or high income2193254724752303216819651662
Severe CP prevalence (95% CI) per 1000 children
    Low income6.0 (4.8−7.5)8.3 (7.0−9.8)7.8 (6.5−9.2)7.5 (6.3−8.9)7.1 (5.9−8.4)6.1 (5.1−7.5)6.1 (5.0−7.4)
    Middle or high income1.1 (1.0−1.1)1.3 (1.2−1.3)1.3 (1.3−1.4)1.3 (1.2−1.3)1.2 (1.2−1.3)1.2 (1.1−1.2)1.1 (1.0−1.1)
        Relative risk (95% CI) (low income/middle or high income)5.6 (4.5−7.1)6.6 (5.5−7.8)5.9 (4.9−7.1)5.9 (5.0−7.1)5.7 (4.8−6.9)5.2 (4.3−6.4)5.8 (4.8−7.1)
Table 5

Prevalence of total and severe CP according to residential location.

2002200320042005200620072008
Total number of children with CP
    Urban1660210921882162204319501698
    Suburban1193151115331506144413391200
    Rural1172153716621519145413581179
Total CP prevalence (95% CI) per 1000 children
    Urban1.9 (1.8−2.0)2.5 (2.4−2.6)2.7 (2.6−2.9)2.8 (2.7−2.9)2.8 (2.6−2.9)2.7 (2.6−2.9)2.5 (2.4−2.6)
    Suburban1.9 (1.8−2.0)2.5 (2.4−2.7)2.7 (2.6−2.9)2.7 (2.6−2.9)2.7 (2.6−2.8)2.6 (2.5−2.8)2.5 (2.3−2.6)
    Rural2.0 (1.8−2.1)2.7 (2.5−2.8)3.1 (2.9−3.2)2.9 (2.8−3.1)2.9 (2.8−3.1)2.9 (2.8−3.1)2.7 (2.6−2.9)
Total number of children with severe CP
    Urban9141044980960925847722
    Suburban629747726692641576482
    Rural727890895780723645559
Severe CP prevalence (95% CI) per 1000 children
    Urban1.1 (1.0−1.1)1.2 (1.2−1.3)1.2 (1.2−1.3)1.2 (1.2−1.3)1.2 (1.2−1.3)1.2 (1.1−1.3)1.1 (1.0−1.1)
    Suburban1.0 (0.9−1.1)1.3 (1.2−1.3)1.3 (1.2−1.4)1.3 (1.2−1.4)1.2 (1.1−1.3)1.1 (1.0−1.2)1.0 (0.9−1.1)
    Rural1.2 (1.1−1.3)1.5 (1.4−1.6)1.7 (1.6−1.8)1.5 (1.4−1.6)1.5 (1.4−1.6)1.4 (1.3−1.5)1.3 (1.2−1.4)
Table 6

Multivariate Poisson regression analysis of the relative risk of severe CP.

2002200320042005200620072008
VariableRelative risk (95% CI)
Sex
    Girls1.01.01.01.01.01.01.0
    Boys1.3 (1.2−1.4)1.3 (1.2−1.4)1.3 (1.2−1.5)1.4 (1.3−1.5)1.4 (1.2−1.5)1.3 (1.2−1.4)1.3 (1.2−1.4)
Family income
    Middle or high income1.01.01.01.01.01.01.0
    Low income5.5 (4.4−6.9)6.4 (5.4−7.6)5.8 (4.8−6.9)5.8 (4.8−6.9)5.6 (4.6−6.7)5.1 (4.2−6.2)5.6 (4.6−6.9)
Residential location
    Urban1.01.01.01.01.01.01.0
    Suburban1.0 (0.9−1.1)1.0 (0.9−1.1)1.1 (1.0−1.2)1.0 (0.9−1.1)1.0 (0.9−1.1)1.0 (0.9−1.1)1.0 (0.8−1.1)
    Rural1.1 (1.0−1.2)1.2 (1.1−1.3)1.3 (1.2−1.5)1.2 (1.1−1.3)1.1 (1.0−1.3)1.1 (1.0−1.3)1.2 (1.1−1.3)
Table 7

Annual mortality rate of severe CP in Taiwan children aged 0−6 years.

2002200320042005200620072008
Number of deaths in children (age: 0−6 y) with severe CP40415949283540
Mortality rate (95% CI) per 1000 children17.6 (12.9−24.0)15.3 (11.3−20.8)22.7 (17.6−29.3)20.1 (15.3−26.7)12.2 (8.4−17.7)16.9 (12.2−23.6)22.7 (16.6−30.9)

Discussion

This study was the first nationwide population-based analysis of the prevalence and associated socioeconomic risk factors of CP in children aged <7 years in Taiwan over a 7-year period. The prevalence of CP remained constant during the study period. The present results yielded a peak CP prevalence of 2.8 per 1000 children, which is similar to those reported in a previous meta-analysis for a specific age range [3] but higher than those of other surveys in the Chinese population. The prevalence of CP in China and Hong Kong was reported to be from 1.3 to 1.6 per 1000 children [13-15], which is lower than that in other developed countries. However, our present findings based on the entire population of Taiwan provide new evidence that Chinese children do not have a lower CP risk. Our results revealed that sex influences the prevalence of CP; a higher prevalence of CP was discovered in boys than girls, which is consistent with previous studies [25, 26]. In addition, CP prevalence was higher among the children of low-income families, which is in accordance with previous findings [11,27]. In the United States and United Kingdom, socioeconomic deprivation is associated with an increased risk of having a child with CP. A socioeconomic gradient has been observed in preterm birth, low birthweight, and postnatal injury, which are also risk factors for CP [18,28]. Some mediators have been suggested to explain the relationship between socioeconomic gradient and CP prevalence, including maternal illness, infection, inadequate prenatal care, poor nutrition, alcoholism, and smoking [11,28-31]. Strategies to prevent these risk factors or mediators may interrupt the pathway to CP and reduce CP prevalence. The trend of higher CP prevalence in low-income families warrants further investigation to reduce the CP rate in this population. Furthermore, children lived in rural areas had a higher prevalence of CP, particularly severe CP. Because people living in rural areas are less likely to use medical services [32], it is important to facilitate the access to relevant health services for children with CP residing in rural areas to help them achieving optimal development and health. Limited evidence is available on the life expectancy of children with CP [33,34]. According to the World Health Organization Global Health Observatory data, the mortality rate of children under 5 years significantly reduced from 91 deaths per 1000 live births in 1990 to 43 deaths per 1000 live births in 2015 [35]. The mortality rate of children with severe CP in our study was 12.2−22.7 per 1000 children. Although this mortality rate is lower than the overall global mortality rate for children less than 5 years, it is higher than that in developed countries. Therefore, further studies are warranted to investigate the causes of the high mortality rate and provide improved health care to these children with CP to improve their prognosis. The present study had some limitations. First, we used a claims-based database to investigate the prevalence of CP. The definition of CP used to classify patients was never validated in any way. We might have included children who do not in fact have CP but incorrectly get the ICD-9 codes (e.g. patient with intellectual disability, neuromuscular disorders, or genetic disorders, etc.). We may also miss children with mild CP who do not use the medical services. However, to obtain a catastrophic illness certificate to be exempted from copayment, guardians must provide relevant medical information to the National Health Insurance Bureau. Therefore, the prevalence of severe CP in this study must be very close to the true value. Second, detailed clinical information was not available in the database. Therefore, we were unable to categorize the different types of CP in the affected children. Third, the database used in the present study did not contain detailed information on family income, educational level, and ethnicity. Accordingly, we used the low income status and residential area as proxies for socioeconomic status.

Conclusions

Our population-based study revealed that the annual prevalence of CP in children aged <7 years in Taiwan ranged from 1.9 to 2.8 per 1000 children. These CP prevalence are similar to those in Western countries. In addition, male sex, low family income, and rural residential location were associated with a higher CP prevalence. Developing a nationwide CP register system to thoroughly understand the prevalence and causes of CP and provide improved health care to children with CP is imperative.
  29 in total

1.  Prevalence of cerebral palsy in China.

Authors:  J M Liu; S Li; Q Lin; Z Li
Journal:  Int J Epidemiol       Date:  1999-10       Impact factor: 7.196

2.  Regional variation in survival of people with cerebral palsy in the United Kingdom.

Authors:  Karla Hemming; Jane L Hutton; Allan Colver; Mary-Jane Platt
Journal:  Pediatrics       Date:  2005-12       Impact factor: 7.124

Review 3.  Contribution of socio-economic status on the prevalence of cerebral palsy: a systematic search and review.

Authors:  Myrill Solaski; Annette Majnemer; Maryam Oskoui
Journal:  Dev Med Child Neurol       Date:  2014-04-19       Impact factor: 5.449

4.  Prevalence of cerebral palsy: Autism and Developmental Disabilities Monitoring Network, three sites, United States, 2004.

Authors:  Carrie L Arneson; Maureen S Durkin; Ruth E Benedict; Russell S Kirby; Marshalyn Yeargin-Allsopp; Kim Van Naarden Braun; Nancy S Doernberg
Journal:  Disabil Health J       Date:  2009-01       Impact factor: 2.554

5.  Variation in cerebral palsy profile by socio-economic status.

Authors:  Maryam Oskoui; Carmen Messerlian; Alexandra Blair; Philippe Gamache; Michael Shevell
Journal:  Dev Med Child Neurol       Date:  2015-05-22       Impact factor: 5.449

Review 6.  Antenatal antecedents and the impact of obstetric care in the etiology of cerebral palsy.

Authors:  Shannon M Clark; Labib M Ghulmiyyah; Gary D V Hankins
Journal:  Clin Obstet Gynecol       Date:  2008-12       Impact factor: 2.190

7.  Decreasing prevalence in cerebral palsy: a multi-site European population-based study, 1980 to 2003.

Authors:  Elodie Sellier; Mary Jane Platt; Guro L Andersen; Ingeborg Krägeloh-Mann; Javier De La Cruz; Christine Cans
Journal:  Dev Med Child Neurol       Date:  2015-08-28       Impact factor: 5.449

8.  A special supplement: findings from the Australian Cerebral Palsy Register, birth years 1993 to 2006.

Authors:  Hayley Smithers-Sheedy; Sarah McIntyre; Catherine Gibson; Elaine Meehan; Heather Scott; Shona Goldsmith; Linda Watson; Nadia Badawi; Karen Walker; Iona Novak; Eve Blair
Journal:  Dev Med Child Neurol       Date:  2016-01-13       Impact factor: 5.449

Review 9.  A systematic review of risk factors for cerebral palsy in children born at term in developed countries.

Authors:  Sarah McIntyre; David Taitz; John Keogh; Shona Goldsmith; Nadia Badawi; Eve Blair
Journal:  Dev Med Child Neurol       Date:  2012-11-26       Impact factor: 5.449

10.  Cerebral palsy in Al-Quseir City, Egypt: prevalence, subtypes, and risk factors.

Authors:  Hamdy N El-Tallawy; Wafaa Ma Farghaly; Ghaydaa A Shehata; Tarek A Rageh; Nabil A Metwally; Reda Badry; Mohamed Am Sayed; Mohamed Abd El Hamed; Ahmed Abd-Elwarth; Mahmoud R Kandil
Journal:  Neuropsychiatr Dis Treat       Date:  2014-07-08       Impact factor: 2.570

View more
  4 in total

1.  Standardized quality control management improves rehabilitation of children with cerebral palsy in Ningbo City.

Authors:  Keji Zhang; Fangchuan Chen; Hongxiang Xie; Yaling Wu; Ye Zhang
Journal:  Am J Transl Res       Date:  2022-09-15       Impact factor: 3.940

2.  Prevalence and characteristics of children with cerebral palsy according to socioeconomic status of areas of residence in a French department.

Authors:  Malika Delobel-Ayoub; Virginie Ehlinger; Dana Klapouszczak; Carine Duffaut; Catherine Arnaud; Mariane Sentenac
Journal:  PLoS One       Date:  2022-05-19       Impact factor: 3.240

3.  Effects of Augmented Reality Interventions on the Function of Upper Extremity and Balance in Children With Spastic Hemiplegic Cerebral Palsy: A Randomized Clinical Trial.

Authors:  Wardah Hussain Malick; Rizwana Butt; Waqar Ahmed Awan; Muhammad Ashfaq; Qamar Mahmood
Journal:  Front Neurol       Date:  2022-06-21       Impact factor: 4.086

4.  Increasing prevalence of cerebral palsy among children and adolescents in China 1988-2020: A systematic review and meta-analysis.

Authors:  Shengyi Yang; Jiayue Xia; Jing Gao; Lina Wang
Journal:  J Rehabil Med       Date:  2021-05-24       Impact factor: 2.912

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.