Oral health-related quality of life in the Myanmar population: The first national oral health survey 2016 - 2017.

Self-rated oral health conditions predicted quality of life due to oral problems. The development of national oral health policies and strategies is imperative to facilitate early detection of oral health problems and promote the awareness of oral health importance.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2024-08-30
DOI
https://doi.org/10.1922/cdh_00060thwin06
Citations
3
Primary Topic
Dental Health and Care Utilization
Type
article
Field-Weighted Citation Impact
1.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Oral health-related quality of life in the Myanmar population: The first national oral health survey 2016 - 2017.

Prathip Phantumvanit, Hideo Miyazaki, Kaung Myat Thwin, Hiroshi Ogawa et al.
3 citations
PubMed
Dental Health and Care Utilization
1.20
article

Oral health-related quality of life in the Myanmar population: The first national oral health survey 2016 - 2017.

Prathip Phantumvanit, Hideo Miyazaki, Kaung Myat Thwin, Hiroshi Ogawa, Yupin Songpaisan
article en
3 citations

Abstract

Self-rated oral health conditions predicted quality of life due to oral problems. The development of national oral health policies and strategies is imperative to facilitate early detection of oral health problems and promote the awareness of oral health importance.

PubMedVol. 41(3)
Thammasat University (TH), Suranaree University of Technology (TH)
Openalex Percentile: Top 23%
Dental Health and Care Utilization
1.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.