Child Growth Curves in High-Altitude Ladakh
Results from a Cohort Study
Bibliographic Data
| ID | 15465249 |
|---|---|
| Authors | Wen-Chien Yang (0000-0001-8206-1496, National Taiwan University Hospital), Chun-Min Fu (0000-0001-7617-9498, National Taiwan University Hospital), Bo-Wei Su (0000-0002-2879-7176, National Taiwan University Hospital), Chung‐Mei Ouyang (0000-0002-1377-772X, National Taiwan University Hospital), Kuen‐Cheh Yang (0000-0003-0047-2238, National Taiwan University Hospital, corresponding author) |
| Year | 2020 |
| Volume | 17 |
| Issue | 10 |
| Pages | 3652-3652 |
| Publication date | 2020-05-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17103652 |
| PMID | 32455978 |
| OpenAlex | W3027638172 |
| Language | EN |
| Citations received | 2 |
| References cited | 33 |
High prevalence of child underweight and stunting in high-altitude areas has often been reported. However, most previous studies on this topic were cross-sectional. Another critical concern is that using the World Health Organization (WHO) Child Growth Standards to evaluate child growth in high-altitude areas may lead to overestimations of underweight and stunting. Our study aimed to evaluate the long-term growth pattern of children (3 to 18 years) above the altitude of 3500 m in Ladakh, India. The participants' body weight (BW), body height (BH), and body mass index (BMI) were measured annually according to the WHO Child Growth Standards for children under 5 years old and the WHO reference data for children aged 5 to 19 years. The generalized estimating equation (GEE) was used to estimate the means and z-scores of BW, BH, and BMI at different ages. A total of 401 children were enrolled from 2012 to 2018. Their mean z-scores of BW, BH, and BMI were -1.47, -1.44, and -0.85 in 2012 and increased to -0.74, -0.92, and -0.63 in 2018. This population's specific growth curve was also depicted, which generally fell below the 85th percentile of the WHO standards. This is the first cohort study about long-term child growth patterns in a high-altitude area. The detailed underlying mechanisms of our findings need future research on more representative data of high-altitude populations
Altitude (triangle · Anthropometry · Body mass index · Cohort · Cohort study · Effects of high altitude on humans · Environmental health · Generalized estimating equation · Growth curve (statistics · Overweight · Percentile · Population · Statistics · Underweight · Birth, Development, and Health · Child Nutrition and Water Access · Demography · Mathematics · Medicine · Poverty, Education, and Child Welfare · Pediatrics
Models for Longitudinal Data
Human Adaptation to High Altitude
A decade of rapid change
Growth among Tibetans at high and low altitudes in India
Synthetic growth reference charts
German height references for children aged 0 to under 18 years compared to WHO and CDC growth charts
Growth curves and the international standard
Growth trends among male bods of Ladakh — a high altitude population
Altitude and infant growth in Bolivia
Altitude and growth
Secular trends in growth in the high‐altitude district of Nuñoa, Peru 1964–2015
The physical growth of high altitude Bolivian Aymara children
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |