Cited by 78Diabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, DietBody Composition Measurement Techniques

Optimal cut-off for obesity and markers of metabolic syndrome for Ethiopian adults

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Sinaga, Makeda, Worku, Meron, Yemane, Tilahun, Tegene, Elsah, Wakayo, Tolassa, Girma, Tsinuel, Lindstrom, David, Belachew, Tefera·2018·Nutrition Journal

Abstract

Metabolic syndrome (MetS) is defined as the presence of central obesity plus any two of the following markers: high triglycerides (> 150 mg/dl), low high density lipoprotein (HDL) cholesterol < 40 mg/dl in men and < 50 mg/dl in women, hypertension (blood pressure > 130/85 mmHg or use of antihypertensive medication), high fasting blood glucose (> 100 mg/dl or use of treatment for diabetes mellitus). Since recently, metabolic syndrome and obesity have become emerging problems of both low and middle income countries, although they have been the leading cause of morbidity and mortality in high income countries for the past decades. It has been indicated that the international anthropometric cut-off for detecting obesity is not appropriate for Ethiopians. This study developed optimal cut off values for anthropometric indicators of obesity and markers of metabolic syndrome for Ethiopian adults to enhance preventive interventions. A total of 704 employees of Jimma University were randomly selected using their payroll as a sampling frame. Data on socio-demographic, anthropometry, clinical and blood samples were collected from February to April 2015. Receiver Operating Characteristic Curve analyses were used to determine optimal anthropometric cut-off values for obesity and markers of the metabolic syndrome. WHO indicators of obesity based on body fat percent (> 25% for males and > 35% for females) were used as binary classifiers for developing anthropometric cut-offs. Optimal cut-off values were presented using sensitivity, specificity and area under the curve. The optimal cut-off for obesity using body mass index was 22.2 k/m 2 for males and 24.5 kg/m 2 for females. Similarly, the optimal waist circumference cut-off for obesity was 83.7 cm for males and 78.0 cm for females. The cut-off values for detecting obesity using waist to hip ratio and waist to height ratio were: WHR (0.88) and WHtR (0.49) for males, while they were 0.82 and 0.50 for females, respectively. Anthropometric cut-off values for markers of metabolic syndrome were lower compared to the international values. For females, the optimal BMI cut-offs for metabolic syndrome markers ranged from 24.8 kg/m 2 (triglycerides) to 26.8 kg/m 2 (fasting blood sugar). For WC the optimal cut-off ranged from of 82.1 cm (triglyceride) to 96.0 cm(HDL); while for WHtR the optimal values varied from 0.47(HDL) to 0.56(fasting blood sugar). Likewise, the optimal cut-offs of WHR for markers of metabolic syndrome ranged from 0.78(fasting blood sugar) to 0.89(HDL and blood pressure). For males, the optimal BMI cut-offs for metabolic syndrome markers ranged from 21.0 kg/m 2 (HDL) to 23.5 kg/m 2 (blood pressure). For WC, the optimal cut-off ranged from 85.3 cm (triglyceride) to 96.0 cm(fasting blood sugar); while for WHtR the optimal values varied from 0.47(BP, FBS and HDL) to 0.53(Triglyceride). Similarly, the optimal cut-offs of WHR form markers of metabolic syndrome ranged from 0.86(blood pressure) to 0.95(fasting blood sugar). The optimal anthropometric cut-offs for obesity and markers of metabolic syndrome in Ethiopian adults are lower than the international values. The findings imply that the international cut-off for WC, WHtR, WHR and BMI underestimate obesity and metabolic syndrome markers among Ethiopian adults, which should be considered in developing intervention strategies. It is recommended to use the new cut-offs for public health interventions to curb the increasing magnitude of obesity and associated metabolic syndrome and diet related non-communicable diseases in Ethiopia.

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  • The hypertriglyceridaemic waist approach might increase accuracy in identifying individuals with greater risk of developing cardiovascular diseases in the future, but concerns remain for its validity as a measure of ongoing disease.

    “Again, this approach might increase accuracy in identifying individuals with greater risk of developing cardiovascular diseases in the future, but concerns remain for its validity as a measure of ongoing disease.52”

    From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [52]

    The Results section reports waist-circumference cut-offs for high triglyceride levels in Ethiopian adults, but does not evaluate a combined hypertriglyceridaemic-waist approach. Searches for future cardiovascular risk and validity as a measure of ongoing disease found no passage addressing either claim; page numbers are unavailable in our copy. (LLM, conf=0.76)

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Cited by

Sorted by citations

Authors
Sinaga, M., Worku, M., Yemane, T., Tegene, E., Wakayo, T., Girma, T., Lindstrom, D., & Belachew, T.
Affiliations
  • Jimma University (ET)
  • Wolkite University (ET)
  • Brown University (US)
Corresponding author
Belachew, Tefera
Venue
Nutrition Journal
Published
2018-11-22
Volume
17
Issue
1
Pages
109-109
ISSN
1475-2891 (ISSN-L)
OpenAlex
W2901855388
Cited by
78
References
1
Citations by year
2026: 3 · 2025: 9 · 2024: 7 · 2023: 7 · 2022: 14 · 2021: 17 · 2020: 17 · 2019: 4
FWCI
7.56
Type
journal article
Language
en
Open access
Locations
  • Nutrition Journal (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • Jimma University
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD041020)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
Keywords
metabolic syndrome, obesity, anthropometric cut-off values, body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, triglycerides, HDL cholesterol, fasting blood glucose, hypertension, sex differences, diagnostic thresholds, low- and middle-income countries, preventive interventions, obesity screening
MeSH terms
Adult, Blood Glucose, Cholesterol, Ethiopia, Female, Humans, Hypertension, Lipoproteins, Male, Middle Aged, Obesity, Risk Factors, Triglycerides, Biomarkers, Metabolic Syndrome, Young Adult

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