Indian Pediatrics

, Volume 47, Issue 11, pp 925–929

School absenteeism among children and its correlates: A predictive model for identifying absentees

Research Paper

DOI: 10.1007/s13312-010-0156-5

Cite this article as:
Uppal, P., Paul, P. & Sreenivas, V. Indian Pediatr (2010) 47: 925. doi:10.1007/s13312-010-0156-5

Abstract

Objectives

To determine the magnitude of absenteeism and its correlates and to develop a model to predict absenteeism in school children.

Design

A cross-sectional study.

Setting

Three government schools in Delhi.

Participants

704 students, aged 10 to 15 years.

Methods

Students were registered and interviewed using a pre-designed questionnaire. The frequency and causes of school absenteeism were ascertained by school records, leave applications and one month’s recall. The factors were subjected to univariate analysis and a stepwise multiple logistic regression analysis and a predictive model was developed.

Results

The average absenteeism of a student over 6 months was 14.3±10.2 days (95% CI 13.5–15.0). 48% children absented themselves for more than two days per month on an average. The main factors associated with school absenteeism were younger age, male sex, increasing birth order, lower levels of parental education and income, school truancy, school phobia and family reasons. The discriminating ability of the predictive model developed was 92.4%.

Conclusions

It is possible to identify potential absentees in school children.

Key words

Academic performance Child India School absenteeism 

Copyright information

© Indian Academy of Pediatrics 2010

Authors and Affiliations

  1. 1.Department of PediatricsSafdarjung HospitalNew DelhiIndia
  2. 2.Department of BiostatisticsAIIMSNew DelhiIndia
  3. 3.New DelhiIndia

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