Urban-rural differences in overweight and obesity among 25-64 years old Myanmar residents: A cross-sectional, nationwide survey
BMJ Open, ISSN: 2044-6055, Vol: 11, Issue: 3, Page: e042561
2021
- 14Citations
- 91Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations14
- Citation Indexes14
- 14
- Captures91
- Readers91
- 91
Article Description
Objectives To investigate whether urban-rural location and socioeconomic factors (income, education and employment) are associated with body mass index (BMI) and waist-hip ratio (W/H-ratio), and to further explore if the associations between urban-rural location and BMI or W/H-ratio could be mediated through variations in socioeconomic factors. Design Cross-sectional, WHO STEPS survey of non-communicable disease risk factors. Setting Urban and rural areas of Myanmar. Participants A total of 8390 men and women aged 25 to 64 years included during the study period from September to December 2014. Institutionalised people (Buddhist monks and nuns, hospitalised patients) and temporary residents were excluded. Results The prevalence of overweight and obesity was higher in the urban areas and increased with increasing socioeconomic status (SES) score. Mean BMI was higher among urban residents (ß=2.49 kg/m 2; 95% CI 2.28 to 2.70; p<0.001), individuals living above poverty line, that is, ≥US$1.9/day (ß=0.74 kg/m 2; 95% CI 0.43 to 1.05; p<0.001), and those with high education attainment (ß=1.48 kg/m 2; 95% CI 1.13 to 1.82; p<0.001) when adjusting for potential confounders. Similarly, greater W/H-ratio was observed in participants living in an urban area, among those with earnings above poverty line, and among unemployed individuals. The association between urban-rural location and BMI was found to be partially mediated by a composite SES score (9%), income (17%), education (16%) and employment (16%), while the association between urban-rural location and W/H-ratio was found to be partially mediated by income (12%), education (6%) and employment (6%). Conclusion Residents living in urban locations had higher BMI and greater W/H-ratio, partially explained by differences in socioeconomic indicators, indicating that socioeconomic factors should be emphasised in the management of overweight and obesity in the Myanmar population. Furthermore, new national or subnational STEPS surveys should be conducted in Myanmar to observe the disparity in trends of the urban-rural differential.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85102052655&origin=inward; http://dx.doi.org/10.1136/bmjopen-2020-042561; http://www.ncbi.nlm.nih.gov/pubmed/33653748; https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2020-042561; https://dx.doi.org/10.1136/bmjopen-2020-042561; https://bmjopen.bmj.com/content/11/3/e042561
BMJ
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know