Top

BMC Public Health

Published in:

Open Access 01-12-2020 | Research article

Childhood disability and its associated perinatal characteristics in Bao’an district of Shenzhen, China

Authors: Xue Zhong, Xiaoli Zhao, Zhuoya Liu, Yuqin Guo, Liya Ma

Published in: BMC Public Health | Issue 1/2020

Abstract

Background

Disability has become a public health issues in China and around the world. This study aimed to report prevalence of children with disability by gender, delivery mode, birth weight, gestational age, birth defect and impairment type in the past 15 years in Baoan District, Shenzhen.

Methods

Data of children with all types of disability from year 2004 to 2018 was obtained from the registry database of Baoan Disabled Persons Federation. Their perinatal information, including gender, delivery mode, birth weight, gestational age, birth defect were traced from Shenzhen Maternal and Child Health Management System and compared with the whole registered population live births information in this district. Data of children with disabilities were included to calculate the prevalence (%).

Results

An overall prevalence of children disability was 1.02% in Baoan district, Shenzhen, in the past 15 years. The overall as well as mental disability prevalence rose from the first 5 years period (2004 to 2008) to the second 5 years of 2009 to 2013, and then dropped to the lowest level in the third 5 year of 2014–2018. Mental disability and intelligent disability accounted for the highest proportion. More than 70% of all kinds of the disabilities except mental disability were detected before 1 year old, 87% of the mental and intelligent disabilities were found before 3 years old. The Percentages of male, premature, low birth weight infants and children with cesarean, birth defect in disable children were higher than in whole population live birth children.

Conclusions

The overall prevalence of disability declined in the district after specific policy engagement. Mental and intelligent disabilities were still the most common disability in the district. The age of 0–3 years was an important period for early childhood detection and intervention.

Disabilities [EB/OL]. [2019]. https://www.who.int/topics/disabilities/en/.

Malta DC, Stopa SR, Canuto R, et al. Self-reported prevalence of disability in Brazil, according to the National Health Survey, 2013. Cien Saude Colet. 2016;21(10):3253–64.PubMedCrossRef

the Second China National Sample Survey on Disability in 2006[EB/OL]. (2008) http://www.cdpf.org.cn/sjzx/sjcx/dcsj/200804/t20080407_340123.shtml.

Holenweg-Gross C, Newman CJ, Faouzi M, et al. Undernutrition in children with profound intellectual and multiple disabilities (PIMD): its prevalence and influence on quality of life. Child Care Health Dev. 2014;40(4):525–32.PubMedCrossRef

Wise J. Disabled children risk further abuse after unsubstantiated referral for neglect, research finds. BMJ. 2016;352:h7031.PubMedCrossRef

McNamara L, Lakman Y, Spadafora N, et al. Recess and children with disabilities: a mixed-methods pilot study. Disabil Health J. 2018;11(4):637–43.PubMedCrossRef

Solmi F, Melnychuk M, Morris S. The cost of mental and physical health disability in childhood and adolescence to families in the UK: findings from a repeated cross-sectional survey using propensity score matching. BMJ Open. 2018;8(2):e18729.CrossRef

Namatovu F, Olsson C, Lindkvist M, et al. Maternal and perinatal conditions and the risk of developing celiac disease during childhood. BMC Pediatr. 2016;16:77.PubMedPubMedCentralCrossRef

Gerlich J, Benecke N, Peters-Weist AS, et al. Pregnancy and perinatal conditions and atopic disease prevalence in childhood and adulthood. Allergy. 2018;73(5):1064–74.PubMedCrossRef

10.

Peckham-Gregory EC, Danysh HE, Brown AL, et al. Evaluation of maternal and perinatal characteristics on childhood lymphoma risk: a population-based case-control study. Pediatr Blood Cancer. 2017;64(5).

11.

Shenzhen Maternal and Child Health Management System [EB/OL]. (2018)218.18.233.230:8888.

12.

Shang LL, Huang YQ, Liu ZR, et al. A cross-sectional survey of disability attributed to mental disorders and service use in China. Chin Med J (Engl). 2017;130(12):1441–5.CrossRef

13.

Classification and classification of disabilities [EB/OL]. (2019) http://www.gddpf.org.cn/zzll/cjrz/201904/t20190403_996090.htm.

14.

Kodali RR, Charyulu SP. A study on the psychosocial behavior of the disabled children in Loni, Maharashtra. Indian J Med Sci. 2011;65(8):349–54.PubMedCrossRef

15.

Spencer NJ, Blackburn CM, Read JM. Prevalence and social patterning of limiting long-term illness/disability in children and young people under the age of 20 years in 2001: UK census-based cross-sectional study. Child Care Health Dev. 2010;36(4):566–73.PubMedCrossRef

16.

Blackburn CM, Spencer NJ, Read JM. Prevalence of childhood disability and the characteristics and circumstances of disabled children in the UK: secondary analysis of the family resources survey. BMC Pediatr. 2010;10:21.PubMedPubMedCentralCrossRef

17.

Kuper H, Monteath-van DA, Wing K, et al. The impact of disability on the lives of children; cross-sectional data including 8,900 children with disabilities and 898,834 children without disabilities across 30 countries. PLoS One. 2014;9(9):e107300.PubMedPubMedCentralCrossRef

18.

Nelson F, Masulani-Mwale C, Richards E, et al. The meaning of participation for children in Malawi: insights from children and caregivers. Child Care Health Dev. 2017;43(1):133–43.PubMedCrossRef

19.

Zhu H, Xiang H, Xia X, et al. Unintentional injuries among Chinese children with different types and severity of disability. Ann Epidemiol. 2014;24(1):23–8.PubMedCrossRef

20.

He P, Chen G, Wang Z, et al. The role of parental education in child disability in China from 1987 to 2006[J]. PLoS One. 2017;12(10):e186623.

21.

Zhang H, Bo SH, Zhang XT, et al. Sampling survey of disability in 0-6 year-old children in China. Biomed Environ Sci. 2006;19(5):380–4.PubMed

22.

Wang Z, Zheng X, Zhang L, et al. Changes in Prevalence and Socioeconomic Factors of Psychiatric Disability among Children in China from 1987-2006: A population based survey. Int J Environ Res Public Health, 2017;14(3):279–87.

23.

Erskine HE, Moffitt TE, Copeland WE, et al. A heavy burden on young minds: the global burden of mental and substance use disorders in children and youth. Psychol Med. 2015;45(7):1551–63.PubMedCrossRef

24.

Huang DN, Jin YT. Advances on the research of the environmental risk factors of children autism. Zhonghua Yu Fang Yi Xue Za Zhi. 2017;51(12):1128–31.PubMed

25.

Moeschler JB, Shevell M. Comprehensive evaluation of the child with intellectual disability or global developmental delays. Pediatrics. 2014;134(3):e903–18.PubMedCrossRef

26.

Zwaigenbaum L, Bauman ML, Stone WL, et al. Early identification of autism Spectrum disorder: recommendations for practice and research. Pediatrics. 2015;136 Suppl 1:S10–40.PubMedCrossRef

27.

Matson JL, Rieske RD, Tureck K. Additional considerations for the early detection and diagnosis of autism: review of available instruments. Res Autism Spectr Disord. 2011;5(4):1319–26.CrossRef

28.

Bindawas SM, Vennu V. The national and regional prevalence rates of disability, type, of disability and severity in Saudi Arabia-analysis of 2016 demographic survey data. Int J Environ Res Public Health. 2018;15(3):419–29.

29.

Zablotsky B, Black LI, Blumberg SJ. Estimated prevalence of children with diagnosed developmental disabilities in the United States, 2014-2016[J]. NCHS Data Brief. 2017;291:1–8.

30.

Peacock JL, Marston L, Marlow N, et al. Neonatal and infant outcome in boys and girls born very prematurely. Pediatr Res. 2012;71(3):305–10.PubMedCrossRef

31.

Schieve LA, Tian LH, Baio J, et al. Population attributable fractions for three perinatal risk factors for autism spectrum disorders, 2002 and 2008 autism and developmental disabilities monitoring network. Ann Epidemiol. 2014;24(4):260–6.PubMedPubMedCentralCrossRef

32.

Chien L, Lin H, Shao YJ, et al. Risk of autism associated with general anesthesia during cesarean delivery: a population-based birth-cohort analysis. J Autism Dev Disord. 2015;45(4):932–42.PubMedCrossRef

33.

Schieve LA, Tian LH, Rankin K, et al. Population impact of preterm birth and low birth weight on developmental disabilities in US children. Ann Epidemiol. 2016;26(4):267–74.PubMedPubMedCentralCrossRef

34.

Ramdin T, Ballot D, Rakotsoane D, et al. Neurodevelopmental outcome of late preterm infants in Johannesburg, South Africa. BMC Pediatr. 2018;18(1):326–31.

35.

Walsh JM, Doyle LW, Anderson PJ, et al. Moderate and late preterm birth: effect on brain size and maturation at term-equivalent age. Radiology. 2014;273(1):232–40.PubMedCrossRef

36.

von Bondorff MB, Tormakangas T, Salonen M, et al. Early life origins of all-cause and cause-specific disability pension: findings from the Helsinki birth cohort study. PLoS One. 2015;10(4):e122134.

37.

Mukhopadhyay K, Mahajan R, Malhi P, et al. Neurodevelopmental outcome of extremely low birth weight children at corrected age of two years. Indian Pediatr. 2016;53(5):391–3.PubMedCrossRef

38.

Lampi KM, Lehtonen L, Tran PL, et al. Risk of autism spectrum disorders in low birth weight and small for gestational age infants. J Pediatr. 2012;161(5):830–6.PubMedPubMedCentralCrossRef

39.

Falk MJ, Robin NH. The primary care physician's approach to congenital anomalies. Prim Care. 2004;31(3):605–19.PubMedCrossRef

40.

Romitti PA. Utility of family history reports of major birth defects as a public health strategy. Pediatrics. 2007;120 Suppl 2:S71–7.PubMedCrossRef

41.

Kirby RS, Brewster MA, Canino CU, et al. Early childhood surveillance of developmental disorders by a birth defects surveillance system: methods, prevalence comparisons, and mortality patterns. J Dev Behav Pediatr. 1995;16(5):318–26.PubMedCrossRef

42.

Eide MG, Skjaerven R, Irgens LM, et al. Associations of birth defects with adult intellectual performance, disability and mortality: population-based cohort study. Pediatr Res. 2006;59(6):848–53.PubMedCrossRef

43.

WHO. International classification of functioning, disability, and health (ICF)[J]. Geneva: WHO; 2001.

Title: Childhood disability and its associated perinatal characteristics in Bao’an district of Shenzhen, China
Authors: Xue Zhong
Xiaoli Zhao
Zhuoya Liu
Yuqin Guo
Liya Ma
Publication date: 01-12-2020
Publisher: BioMed Central
Published in: BMC Public Health / Issue 1/2020
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-020-09623-3

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Childhood disability and its associated perinatal characteristics in Bao’an district of Shenzhen, China

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 1/2020

Impact of a community-based pilot intervention to tackle childhood obesity: a ‘whole-system approach’ case study

Assessment of knowledge, attitudes and practice towards Vitamin D among university students in Pakistan

Is cycle network expansion cost-effective? A health economic evaluation of cycling in Oslo

Doing exercise or sport together with one’s child is positively associated with mothers’ momentary affect in daily life, but not with higher levels of overall physical activity

Knowledge, attitude, and practices toward chronic kidney disease among care providers in Jimma town:cross-sectional study

When is work a cause of early retirement and are there any effective organizational measures to combat this? A population-based study of perceived work environment and work-related disorders among employees in Sweden