Saujanya Karki, Jari Päkkilä, Marja-Liisa Laitala, Marja Ojaniemi & Vuokko Anttonen (2018) National reference centiles of anthropometric indices and BMI cut-off values in a child population in Nepal, Annals of Human Biology, 45:5, 447-452, DOI: 10.1080/03014460.2018.1530302
National reference centiles of anthropometric indices and BMI cut-off values in a child population in Nepal
|Author:||Karki, Saujanya1,2; Päkkilä, Jari3; Laitala, Marja-Liisa1;|
1Research Unit of Oral Health Sciences, University of Oulu, Oulu, Finland
2Medical Research Center, University of Oulu, Oulu, Finland
3Department of Mathematical Sciences, University of Oulu, Oulu, Finland
4epartment of Children and Adolescents, PEDEGO Research Center, University of Oulu, Oulu Finland
5Oulu University Hospital, Oulu, Finland
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019101432557
|Publish Date:|| 2020-01-08
Background: There is a need for national- or ethnicity-specific growth reference values in developing countries like Nepal, where rapid urbanisation and consequential nutritional transition is taking place.
Aim: To establish national growth reference percentiles for anthropometric indices and to propose body mass index (BMI) cut-off values for Nepalese schoolchildren.
Methods: This study comprised 1135 Nepalese schoolchildren of four World Health Organization (WHO) indexed age groups (5-, 6-, 12- and 15-year-olds). The age- and gender-specific smoothed percentile curves for anthropometric indices (height, weight, BMI, waist circumference, waist-to-hip-ratio and waist-to-height-ratio) were constructed using LMS method and the corresponding Z-scores were computed. The Receiver Operating Characteristic analysis was used to determine BMI cut-off values based on the International Obesity Taskforce (IOTF) and the WHO growth references.
Results: The age- and gender-specified smoothed percentile values of anthropometric indices at 3rd, 10th, 25th, 50th, 75th, 90th and 97th percentiles were computed. The BMI cut-off values for thinness (−1.2 SDS/12th percentile), overweight (+1.2 SDS/88th percentile) and obesity (+2.1 SDS/98th percentile) had high discriminating power, and high sensitivity and specificity.
Conclusion: The Nepali anthropometric cut-off values proposed here can be recommended to be applied into research, and to identify public health risks in Nepal among these age groups.
Annals of human biology
|Pages:||447 - 452|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
© Taylor & Francis 2018. This is an Accepted Manuscript of an article published by Taylor & Francis in Annals of Human Biology on 08.01.2019, available online: http://www.tandfonline.com/10.1080/03014460.2018.1530302.