Science Journal of Public Health

| Peer-Reviewed |

Effects of Information Communication Technology (ICT) in the Childhood Developments and Lives of Disabilities: A Multivariate Analysis

Received: 29 September 2015    Accepted: 18 October 2015    Published: 29 October 2015
Views:       Downloads:

Share This Article

Abstract

This study investigates the factors acceptance of childhood health and development of disability and the quality of everyday lives of disabilities. Exploratory factor analysis (EFA) is a widely used to identify the factors which are responsible to health and development. This research is sample based and data has been collected using a structured questionnaire and assessed according to the acceptance of anthropometric measurements, disability scale and ICT relational quality measure. A structural equation modeling may conduct to justify the overall relationship of the variables which are majorly responsible. Overall, the respondent acceptance of ICT was moderate especially who has good health condition. Results shows positive correlations between malnutrition and disability condition as well as disability and ICT for quality improvement of live of disabilities. Our research findings can be used to improve individuals, social as well as national development and provide psychological intervention to promote their acceptance of disability.

DOI 10.11648/j.sjph.s.2016040101.15
Published in Science Journal of Public Health (Volume 4, Issue 1-1, January 2016)

This article belongs to the Special Issue Childhood Malnutrition in Developing Countries

Page(s) 28-37
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Information Communication Technology, Malnutrition and Disability, Factor Analysis, Childhood Development, Bangladesh

References
[1] ACFOA. (2002). ACFOA Disability and Development Working Group. Work.
[2] Ahmed, S. M., Evans, T. G., Standing, H., & Mahmud, S. (2013). Harnessing pluralism for better health in Bangladesh. The Lancet, 382(9906), 1746-1755.
[3] Ahmed, T. (2014). Survival Pattern and Psycho-Social Consequences of Disadvantaged Children: A Study on Dhaka City.
[4] Ali, Z., Mujeri, M., & Ahmed, B. N. (2014). Extreme Poverty and Marginality in Bangladesh: Review of Extreme Poverty Focused Innovative Programmes.
[5] Ashraf, M. M., Mia, M. A. H., & Hasan, N. (2014). Factor Affecting Mobile Internet Usages in Bangladesh. Bangladesh Journal of MIS, 6(2), 17-35.
[6] Aziz, M. A., Isa, W. A. R. W. M., & Fadzir, N. S. M. (2011). Accessibility of Websites for People with Disabilities (PWD) in Malaysia: An Empirical Investigation. International Journal on Advanced Science, Engineering and Information Technology, 1(2), 221-226.
[7] Bendix, R. (2013). UNESCO Global Report: Opening New Avenues for Empowerment: ICTs to Access Information and Knowledge for Persons with Disabilities” Global Summary Report: UNESCO.
[8] Blencowe, H., Cousens, S., Oestergaard, M. Z., Chou, D., Moller, A.-B., Narwal, R., . . . Say, L. (2012). National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. The Lancet, 379(9832), 2162-2172.
[9] Borg, J., Lindström, A., & Larsson, S. (2011). Assistive technology in developing countries: a review from the perspective of the Convention on the Rights of Persons with Disabilities. Prosthetics and orthotics international, 35(1), 20-29.
[10] Domingo, M. C. (2012). An overview of the Internet of Things for people with disabilities. Journal of Network and Computer Applications, 35(2), 584-596. doi: 10.1016/j.jnca.2011.10.015
[11] Drigas, A., & Karyotaki, M. (2013). E-learning and ICTs Applications in Nutrition Science. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 1, 4-10.
[12] Erickson, D., O'Dell, D., Jiang, L., Oncescu, V., Gumus, A., Lee, S., . . . Mehta, S. (2014). Smartphone technology can be transformative to the deployment of lab-on-chip diagnostics. Lab on a Chip, 14(17), 3159-3164.
[13] Fichten, C. S., Nguyen, M. N., Budd, J., Asuncion, J., Tibbs, A., Jorgensen, M., . . . Amsel, R. (2014). College and University Students with Disabilities:“Modifiable” Personal and School Related Factors Pertinent to Grades and Graduation. AHEADAssociation on, 27(3), 273.
[14] Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., . . . Haines, A. (2013). The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med, 10(1), e1001362.
[15] Gardner, K. (2011). International Classification of Functioning, Disability and Health (ICF).
[16] Gulati, A. G. (2011). Universal Service Obligation Fund’s Pilot Project Scheme for Access to ICTs and ICT Enabled Services for Persons with Disabilities in Rural India. A Journal of Rural Development, 59(12).
[17] Hasan, N., Ashraf, M. M., Abdullah, A., & Murad, M. W. (2015). MOBILE INTERNET AS A LEARNING ASSISTANT FOR SECONDARY AND HIGHER SECONDARY STUDENTS: THE CASE OF BANGLADESH. Australasian Conference on Business and Social Sciences 2015, (pp. 1296-1309), Sydney, Austalia, University of Central Queensland.
[18] Hendricks, C., Lansford, J. E., Deater‐Deckard, K., & Bornstein, M. H. (2014). Associations Between Child Disabilities and Caregiver Discipline and Violence in Low‐and Middle‐Income Countries. Child development, 85(2), 513-531.
[19] Hoque, M. R., & Sorwar, G. (2014). E-GOVERNANCE FOR RURAL DEVELOPMENT: A CASE STUDY ON UNION INFORMATION AND SERVICE CENTRE (UISC) OF BANGLADESH.
[20] Hossain, M. K. (2010). ICT for persons with disabilities: bridging the digital divide in Bangladesh Computers Helping People with Special Needs (pp. 527-530): Springer.
[21] Iemmi, V., Kuper, H., Blanchet, K., Kumar, S., Hartley, S., Murthy, G., . . . Weber, J. (2013). Community Based Rehabilitation for People With Disabilities in Low and Middle Income Countries.
[22] Islam, D., Ashraf, M., Rahman, A., & Hasan, R. (2015). Quantitative Analysis of Amartya Sen's Theory: An ICT4D Perspective. International Journal of Information Communication Technologies and Human Development (IJICTHD), 7(3), 13-26.
[23] Kett, M. (2012). Skills development for youth living with disabilities in four developing countries.
[24] Korani, J., Williams, J., Rose, A., & Khanna, R. (2015). A Prospective Study to Assess the Quality of Preliminary Eye Screening Done on School Children by Teachers in Andhra Pradesh. J Community Med Health Educ, 5(342), 2161-0711.1000342.
[25] Leonardi, M., Bickenbach, J., Ustun, T. B., Kostanjsek, N., & Chatterji, S. (2006). The definition of disability: what is in a name? The Lancet, 368(9543), 1219-1221.
[26] Li, M., & Eastman, C. J. (2012). The changing epidemiology of iodine deficiency. Nature Reviews Endocrinology, 8(7), 434-440.
[27] Lidström, H., Granlund, M., & Hemmingsson, H. (2012). Use of ICT in school: a comparison between students with and without physical disabilities. European Journal of Special Needs Education, 27(1), 21-34. doi: 10.1080/08856257.2011.613601
[28] Maloni, P. K., Despres, E. R., Habbous, J., Primmer, A. R., Slatten, J. B., Gibson, B. E., & Landry, M. D. (2010). Perceptions of disability among mothers of children with disability in Bangladesh: Implications for rehabilitation service delivery. Disability & Rehabilitation, 32(10), 845-854.
[29] McGillivray, J., McVilly, K., Skouteris, H., & Boganin, C. (2013). Parental factors associated with obesity in children with disability: a systematic review. Obesity Reviews, 14(7), 541-554.
[30] Megabiaw B, and Rahman A. (2013) Prevalence and determinants of chronic malnutrition among under-5 children in Ethiopia. International Journal of Child Health and Nutrition, 2(3), pp. 230-236.
[31] Mintz, J., Branch, C., March, C., & Lerman, S. (2012). Key factors mediating the use of a mobile technology tool designed to develop social and life skills in children with Autistic Spectrum Disorders. Computers & Education, 58(1), 53-62.
[32] Mitra, S., Posarac, A., & Vick, B. (2013). Disability and poverty in developing countries: a multidimensional study. World Development, 41, 1-18.
[33] Mohammadi, S., Momayez, A., & Rahbar, F. (2014). A Conceptual Model in Techno-Entrepreneurship Services for People with Disability in Urban Management of Tehran.
[34] Nallasamy, S., Anninger, W. V., Quinn, G. E., Kroener, B., Zetola, N. M., & Nkomazana, O. (2011). Survey of childhood blindness and visual impairment in Botswana. Br J Ophthalmol, 95(10), 1365-1370. doi: 10.1136/bjo.2010.189068
[35] Ntshephe, L. (2013). Marketing information needs of smallholder livestock farmers in the Moretele area in the Bojanala Platinum District Municipality of the North West Province.
[36] Numally, J. C. (1978). Psychometric theory. NY: McGraw-Hill.
[37] Oncescu, V., O'Dell, D., & Erickson, D. (2013). Smartphone based health accessory for colorimetric detection of biomarkers in sweat and saliva. Lab on a Chip, 13(16), 3232-3238.
[38] Organization, W. H. (2007). International Classification of Functioning, Disability, and Health: Children & Youth Version: ICF-CY: World Health Organization.
[39] Pascual, A., Ribera, M., Granollers, T., & Coiduras, J. L. (2014). Impact of Accessibility Barriers on the Mood of Blind, Low-vision and Sighted Users. Procedia Computer Science, 27, 431-440. doi: 10.1016/j.procs.2014.02.047
[40] Patel, M., Virparia, P., & Patel, D. (2012). Web based Fuzzy Expert System and Its Applications–a Survey. International Journal of Applied Information Systems, 1(7), 11-15.
[41] Rahman, A. and Biswas, S.C. (2009). Nutritional status of under-5 children in Bangladesh. South Asian Journal of Population and Health 2(1), pp. 1-11.
[42] Rahman, A. and Chowdhury, S. (2007). Determinants of chronic malnutrition among preschool children in Bangladesh, Journal of Biosocial Science, 39(2), pp.161-173.
[43] Rahman, A., Chowdhury, S., and Hossain, D. (2009). Acute malnutrition in Bangladeshi children: levels and determinants. Asia-Pacific Journal of Public Health, 21(3), pp. 294-302.
[44] Rahman, A., Chowdhury, S., Karim, A. and Ahmed, S. (2008). Factors associated with nutritional status of children in Bangladesh: A multivariate analysis. Demography India, 37(1), pp. 95-109.
[45] Rahman, A. and Harding, A. (2013). Prevalence of overweight and obesity epidemic in Australia: some causes and consequences, JP Journal of Biostatistics, 10(1), pp. 31-48.
[46] Rahman, A. and Harding, A. (2010). Some health related issues in Australia and methodologies for estimating small area health related characteristics, Online Working Paper Series: WP-15, NATSEM, University of Canberra, pp. 1-59.
[47] Rahman, A. and Kuddus, A. (2014). A new model to study on physical behaviour among susceptible infective removal population, Far East Journal of Theoretical Statistics, 46(2), pp. 115-135.
[48] Rahman, A. and Kuddus, A. (2014). Effects of some sociological factors on the outbreak of chickenpox disease, JP Journal of Biostatistics, 11 (1), pp. 37-53.
[49] Rahman, A. and Sapkota, M. (2014), Knowledge on vitamin A rich foods among mothers of preschool children in Nepal: impacts on public health and policy concerns, Science Journal of Public Health, 2(4), pp. 316-322.
[50] Robson, C., & Evans, P. (2003). Educating children with disabilities in developing countries: the role of data sets.
[51] Schreuer, N., Keter, A., & Sachs, D. (2014). Accessibility to information and communications technology for the social participation of youths with disabilities: a two-way street. Behav Sci Law, 32(1), 76-93. doi: 10.1002/bsl.2104
[52] Şimşek, Ö., Altun, E., & Ateş, A. (2010). Developing ICT skills of visually impaired learners. Procedia - Social and Behavioral Sciences, 2(2), 4655-4661. doi: 10.1016/j.sbspro.2010.03.745
[53] Smith, D. W., & Kelley, P. (2007). A Survey of Assistive Technology and Teacher Preparation Programs for Individuals with Visual Impairments. Journal of Visual Impairment & Blindness, 101(7), 429-433.
[54] Stendal, K., Balandin, S., & Molka-Danielsen, J. (2011). Virtual worlds: A new opportunity for people with lifelong disability? Journal of Intellectual and Developmental Disability, 36(1), 80-83.
[55] Tilley, C. M., Bruce, C. S., & Hallam, G. (2009). ADAPTIVE TECHNOLOGY FOR PEOPLE WITH PHYSICAL DISABILITIES USING INFORMATION AND COMMUNICATIONS TECHNOLOGY (ICT).
[56] Trani, J.-F., & Cannings, T. I. (2013). Child poverty in an emergency and conflict context: A multidimensional profile and an identification of the poorest children in Western Darfur. World Development, 48, 48-70.
[57] Vicente, M. R., & López, A. J. (2010). A Multidimensional Analysis of the Disability Digital Divide: Some Evidence for Internet Use. The Information Society, 26(1), 48-64. doi: 10.1080/01615440903423245
[58] WB. (2012). World Bank (2011) World report on disability. Malta: World Health Organization.
[59] West, K. P., Christian, P., Labrique, A. B., Rashid, M., Shamim, A. A., Klemm, R. D., . . . Ali, H. (2011). Effects of vitamin A or beta carotene supplementation on pregnancy-related mortality and infant mortality in rural Bangladesh: a cluster randomized trial. Jama, 305(19), 1986-1995.
[60] WHO. (1980). International classification of impairments, disabilities, and handicaps: a manual of classification relating to the consequences of disease, published in accordance with resolution WHA29. 35 of the Twenty-ninth World Health Assembly, May 1976.
[61] WHO. (2007). International Classification of Functioning, Disability, and Health: Children & Youth Version: ICF-CY: World Health Organization.
[62] WHO. (2011). Concept note: World report on disability and rehabilitation. Geneva: World Health Organization.
Author Information
  • MRC Bangladesh Ltd, Dhaka, Bangladesh

  • Department of MIS, University of Dhaka, Dhaka, Bangladesh

  • School of Computing and Mathematics, Charles Sturt University, Wagga Wagga NSW, Australia.

Cite This Article
  • APA Style

    Najmul Hasan, Mahfuz Ashraf, Azizur Rahman. (2015). Effects of Information Communication Technology (ICT) in the Childhood Developments and Lives of Disabilities: A Multivariate Analysis. Science Journal of Public Health, 4(1-1), 28-37. https://doi.org/10.11648/j.sjph.s.2016040101.15

    Copy | Download

    ACS Style

    Najmul Hasan; Mahfuz Ashraf; Azizur Rahman. Effects of Information Communication Technology (ICT) in the Childhood Developments and Lives of Disabilities: A Multivariate Analysis. Sci. J. Public Health 2015, 4(1-1), 28-37. doi: 10.11648/j.sjph.s.2016040101.15

    Copy | Download

    AMA Style

    Najmul Hasan, Mahfuz Ashraf, Azizur Rahman. Effects of Information Communication Technology (ICT) in the Childhood Developments and Lives of Disabilities: A Multivariate Analysis. Sci J Public Health. 2015;4(1-1):28-37. doi: 10.11648/j.sjph.s.2016040101.15

    Copy | Download

  • @article{10.11648/j.sjph.s.2016040101.15,
      author = {Najmul Hasan and Mahfuz Ashraf and Azizur Rahman},
      title = {Effects of Information Communication Technology (ICT) in the Childhood Developments and Lives of Disabilities: A Multivariate Analysis},
      journal = {Science Journal of Public Health},
      volume = {4},
      number = {1-1},
      pages = {28-37},
      doi = {10.11648/j.sjph.s.2016040101.15},
      url = {https://doi.org/10.11648/j.sjph.s.2016040101.15},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sjph.s.2016040101.15},
      abstract = {This study investigates the factors acceptance of childhood health and development of disability and the quality of everyday lives of disabilities. Exploratory factor analysis (EFA) is a widely used to identify the factors which are responsible to health and development. This research is sample based and data has been collected using a structured questionnaire and assessed according to the acceptance of anthropometric measurements, disability scale and ICT relational quality measure. A structural equation modeling may conduct to justify the overall relationship of the variables which are majorly responsible. Overall, the respondent acceptance of ICT was moderate especially who has good health condition. Results shows positive correlations between malnutrition and disability condition as well as disability and ICT for quality improvement of live of disabilities. Our research findings can be used to improve individuals, social as well as national development and provide psychological intervention to promote their acceptance of disability.},
     year = {2015}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Effects of Information Communication Technology (ICT) in the Childhood Developments and Lives of Disabilities: A Multivariate Analysis
    AU  - Najmul Hasan
    AU  - Mahfuz Ashraf
    AU  - Azizur Rahman
    Y1  - 2015/10/29
    PY  - 2015
    N1  - https://doi.org/10.11648/j.sjph.s.2016040101.15
    DO  - 10.11648/j.sjph.s.2016040101.15
    T2  - Science Journal of Public Health
    JF  - Science Journal of Public Health
    JO  - Science Journal of Public Health
    SP  - 28
    EP  - 37
    PB  - Science Publishing Group
    SN  - 2328-7950
    UR  - https://doi.org/10.11648/j.sjph.s.2016040101.15
    AB  - This study investigates the factors acceptance of childhood health and development of disability and the quality of everyday lives of disabilities. Exploratory factor analysis (EFA) is a widely used to identify the factors which are responsible to health and development. This research is sample based and data has been collected using a structured questionnaire and assessed according to the acceptance of anthropometric measurements, disability scale and ICT relational quality measure. A structural equation modeling may conduct to justify the overall relationship of the variables which are majorly responsible. Overall, the respondent acceptance of ICT was moderate especially who has good health condition. Results shows positive correlations between malnutrition and disability condition as well as disability and ICT for quality improvement of live of disabilities. Our research findings can be used to improve individuals, social as well as national development and provide psychological intervention to promote their acceptance of disability.
    VL  - 4
    IS  - 1-1
    ER  - 

    Copy | Download

  • Sections