التفاصيل البيبلوغرافية
| العنوان: |
Direct estimates of national-level obesity prevalence by age, sex, and year from the NHES, HDTC, and schools data. |
| المؤلفون: |
John Bryant (7596416), Jongjit Rittirong (11986410), Wichai Aekplakorn (709311), Ladda Mo-suwan (11986413), Pimolpan Nitnara (11986416) |
| سنة النشر: |
2022 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Science Policy, Infectious Diseases, Computational Biology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, submodels describing errors, stable among children, many smaller submodels, combining multiple source, also make use, 7 time points, submodel describing trends, forecasting childhood obesity, forecast childhood obesity, thai data sources, thailand , obesity trends, data sources, obesity prevalence, main sources, survey data, administrative data, %22">xlink ">, specified separately, rural residence, results suggest, international estimates, bayesian approach |
| الوصف: |
The dots represent point estimates from the NHES, and the x’s represent point estimates from the HDTC; the vertical lines represent the associated 95% confidence intervals. The HDTC data does not distinguish females and males, so the figure shows estimates for both sexes combined. The lines for the period 2013–2019 are prevalence estimates from schools data. |
| نوع الوثيقة: |
still image |
| اللغة: |
unknown |
| العلاقة: |
https://figshare.com/articles/figure/Direct_estimates_of_national-level_obesity_prevalence_by_age_sex_and_year_from_the_NHES_HDTC_and_schools_data_/18862986Test |
| DOI: |
10.1371/journal.pone.0262047.g001 |
| الإتاحة: |
https://doi.org/10.1371/journal.pone.0262047.g001Test |
| حقوق: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.788E67D5 |
| قاعدة البيانات: |
BASE |
