Waist-to-Height Ratio as a Key Predictor for Diabetes and Hypertension in Lao PDR National Health Survey

This study aimed to determine the potential predictive value of four noninvasive anthropometric indices in screening for the risk of diabetes and hypertension in the Lao population. The data used for this study were collected as part of the National Health Survey which used the World Health Organization's stepwise approach, covered 17 provinces and Vientiane capital, and had a representative sample of 3240 participants above 18 years old. Among the anthropometry indices tested, waist-to-height ratio (WHtR) had the highest predictive power for the prevalence of diabetes (area under the curve [AUC] = 0.73) and hypertension (AUC = 0.70). It is suitable for use in urban or rural areas and for fieldwork. The WHtR can serve as a public health and clinical screening tool, as there are no differences between sexes, ages, and ethnicities when monitoring diabetes and hypertension risk in Lao PDR, using the optimal cutoff point of 0.5 for both diabetes and hypertension.

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Publication Details

Journal
Asia Pacific Journal of Public Health
Published
2024-10-31
DOI
https://doi.org/10.1177/10105395241295573
Citations
2
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.72
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article

Waist-to-Height Ratio as a Key Predictor for Diabetes and Hypertension in Lao PDR National Health Survey

Manithong Vonglokham, Kethmany Ratsavong, Sengchanh Kounnavong, Dirk Essink et al.
2 citations
Asia Pacific Journal of Public Health
Diabetes, Cardiovascular Risks, and Lipoproteins
0.72
article

Waist-to-Height Ratio as a Key Predictor for Diabetes and Hypertension in Lao PDR National Health Survey

Manithong Vonglokham, Kethmany Ratsavong, Sengchanh Kounnavong, Dirk Essink, Suchin Worawichawong, Wichai Aekplakorn, Somphou Sayasone, E. Pamela Wright
article en
2 citations

Abstract

This study aimed to determine the potential predictive value of four noninvasive anthropometric indices in screening for the risk of diabetes and hypertension in the Lao population. The data used for this study were collected as part of the National Health Survey which used the World Health Organization's stepwise approach, covered 17 provinces and Vientiane capital, and had a representative sample of 3240 participants above 18 years old. Among the anthropometry indices tested, waist-to-height ratio (WHtR) had the highest predictive power for the prevalence of diabetes (area under the curve [AUC] = 0.73) and hypertension (AUC = 0.70). It is suitable for use in urban or rural areas and for fieldwork. The WHtR can serve as a public health and clinical screening tool, as there are no differences between sexes, ages, and ethnicities when monitoring diabetes and hypertension risk in Lao PDR, using the optimal cutoff point of 0.5 for both diabetes and hypertension.

Asia Pacific Journal of Public HealthVol. 37(1)
Mahidol University (TH), Public Health Institute (US), Health Action International (NL), Ramathibodi Hospital (TH), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 24%
Diabetes, Cardiovascular Risks, and Lipoproteins
0.72
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Waist-to-Height Ratio as a Key Predictor for Diabetes and Hypertension in Lao PDR National Health Survey — Manithong Vonglokham, Kethmany Ratsavong, et al. · Asia Pacific Journal of Public Health (2024) | TGRS Research Map | TGRS