Age- and Gender-Specific Prevalence of Intellectually Disabled Population in India.

Intellectual disability in India is substantially under-reported, especially amongst females. This study quantifies the prevalence and gender bias in household reporting of intellectual disability by estimating the age-and-gender specific prevalence of the intellectually disabled by education, Socio...

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Publicado en:Journal of Autism & Developmental Disorders Vol. 54; no. 4; pp. 1594 - 1605
Autores principales: Kapoor, Mudit, Ambade, Mayanka, Ravi, Shamika, Subramanian, S. V.
Formato: research tables/charts Journal Article
Publicado: Springer Nature Apr2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2024
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10803-022-05849-9
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        atl: Age- and Gender-Specific Prevalence of Intellectually Disabled Population in India.
      aug:
        au:
          Kapoor, Mudit
          Ambade, Mayanka
          Ravi, Shamika
          Subramanian, S. V.
        affil: https://ror.org/00q2w1j53 Economics and Planning Unit, Indian Statistical Institute, New Delhi 110016, India
      sug:
        subj:
          Intellectual Disability Epidemiology
          Age Specific Care
          Gender Specific Care
          Gender Bias
          Sociodemographic Factors
          Population Characteristics
          Human
          Male
          Female
          India
          Scales
          Residence Characteristics
          Rural Areas
          Urban Areas
          Income
          Descriptive Statistics
          Confidence Intervals
          Sex Factors
          Educational Status
          Stigma
          Age Factors
          Prevalence
          Male
          Female
      ab: Intellectual disability in India is substantially under-reported, especially amongst females. This study quantifies the prevalence and gender bias in household reporting of intellectual disability by estimating the age-and-gender specific prevalence of the intellectually disabled by education, Socio-Demographic Index (SDI) score, place of residence, (rural/urban) and income of household head. We estimated prevalence (per 100,000) at 179 (95% CI: 173 to 185) for males and 120 (95% CI: 115 to 125) for females. Gender differences declined sharply with increased education, was higher for lower ages and low income and varied little by state development. Under-identification and under-reporting due to stigma are two plausible reasons for the gender differences in prevalence that increase with age.
      pubtype: Academic Journal
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    language: English
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