Cut-off points of anthropometric markers associated with hypertension and diabetes in Peru: Demographic and Health Survey 2018

doi:10.1017/S1368980020004036

. 2020 Oct 16;24(4):1-11.

doi: 10.1017/S1368980020004036. Online ahead of print.

Cut-off points of anthropometric markers associated with hypertension and diabetes in Peru: Demographic and Health Survey 2018

Akram Hernández-Vásquez¹, Diego Azañedo², Rodrigo Vargas-Fernández³, Juan Pablo Aparco^{4

5}, Raul Martín Chaparro⁶, Marilina Santero^{7

8}

Affiliations

¹ Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, 550 La Fontana Av., La Molina00012, Lima, Peru.
² Universidad Católica Los Ángeles de Chimbote, Instituto de Investigación, Chimbote, Peru.
³ Universidad Científica del Sur, Lima, Peru.
⁴ Universidad San Ignacio de Loyola, Carrera Nutrición y Dietética, Lima, Peru.
⁵ Centro Nacional de Alimentación y Nutrición, Instituto Nacional de Salud, Lima, Peru.
⁶ Universidad de Buenos Aires, Buenos Aires, Argentina.
⁷ Universitat Autònoma de Barcelona, Barcelona, Spain.
⁸ Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.

PMID: 33059791
PMCID: PMC11574829
DOI: 10.1017/S1368980020004036

Cut-off points of anthropometric markers associated with hypertension and diabetes in Peru: Demographic and Health Survey 2018

Akram Hernández-Vásquez et al. Public Health Nutr. 2020.

. 2020 Oct 16;24(4):1-11.

doi: 10.1017/S1368980020004036. Online ahead of print.

Authors

Akram Hernández-Vásquez¹, Diego Azañedo², Rodrigo Vargas-Fernández³, Juan Pablo Aparco^{4

5}, Raul Martín Chaparro⁶, Marilina Santero^{7

8}

Affiliations

¹ Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, 550 La Fontana Av., La Molina00012, Lima, Peru.
² Universidad Católica Los Ángeles de Chimbote, Instituto de Investigación, Chimbote, Peru.
³ Universidad Científica del Sur, Lima, Peru.
⁴ Universidad San Ignacio de Loyola, Carrera Nutrición y Dietética, Lima, Peru.
⁵ Centro Nacional de Alimentación y Nutrición, Instituto Nacional de Salud, Lima, Peru.
⁶ Universidad de Buenos Aires, Buenos Aires, Argentina.
⁷ Universitat Autònoma de Barcelona, Barcelona, Spain.
⁸ Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.

PMID: 33059791
PMCID: PMC11574829
DOI: 10.1017/S1368980020004036

Abstract

Objective: To determine the optimal anthropometric cut-off points for predicting the likelihood ratios of hypertension and diabetes in the Peruvian population.

Design: A cross-sectional study was performed to establish cut-off values for body mass index (BMI), waist circumference (WC), waist:height ratio (WHtR) and Conicity index (C-index) associated with increased risk of hypertension and diabetes. Youden's index (YIndex), area under the curve (AUC), sensitivity and specificity were calculated.

Setting: Peruvian households.

Participants: Peruvian population over the age of 18 years.

Results: A total of 31 553 subjects were included, 57 % being women. Among the women, 53·06 % belonged to the 25- to 44-year-old age group [mean age: 41·66 in men and 40·02 in women]. The mean BMI, WHtR and C-index values were higher in women 27·49, 0·61, 1·30, respectively, while the mean WC value was higher in men 92·12 cm (sd ± 11·28). The best predictors of hypertension in men were the WHtR (AUC = 0·64) and the C-index (AUC = 0·64) with an optimal cut-off point of 0·57 (YIndex = 0·284) and 1·301 (YIndex = 0·284), respectively. Women showed an AUC of 0·63 and 0·61 in the WHtR and C-index, respectively, with an optimal cut-off of 0·61 (YIndex = 0·236) and 1·323 (YIndex = 0·225). The best predictor for diabetes was the C-index: with an AUC = 0·67 and an optimal cut-off of 1·337 (YIndex = 0·346) for men and an AUC = 0·66 and optimal cut-off of 1·313 (YIndex = 0·319) for women.

Conclusions: Our findings show that in Peruvian adults, the WHtR and the C-index have the strongest association with hypertension in both sexes. Likewise, the C-index had the strongest association with diabetes.

Keywords: Anthropometry; BMI; Diabetes Mellitus; Hypertension; Peru; Risk Factors; Type 2.

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Figures

**Fig. 1**
(a) Comparison of the estimation of risk of BMI against WC. (b) Comparison of the estimation of risk of BMI against WHtR. (c) Comparison of the estimation of risk of BMI against C-index

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References

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[1] NCD Risk Factor Collaboration (NCD-RisC) (2016) Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet 387, 1513–1530. - PMC - PubMed

[2] NCD Risk Factor Collaboration (NCD-RisC) (2016) Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet 387, 1513–1530. - PMC - PubMed

[3] NCD Risk Factor Collaboration (NCD-RisC) (2017) Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants. Lancet 389, 37–55. - PMC - PubMed

[4] NCD Risk Factor Collaboration (NCD-RisC) (2017) Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants. Lancet 389, 37–55. - PMC - PubMed

[5] World Health Organization (2019) Global Report on Diabetes [Internet] WHO. https://www.who.int/diabetes/global-report/en/ (accessed October 2019).

[6] World Health Organization (2019) Global Report on Diabetes [Internet] WHO. https://www.who.int/diabetes/global-report/en/ (accessed October 2019).

[7] National Institute of Statistics and Informatics (2019) Peru: Noncommunicable and Communicable Diseases, 2018 [Internet]. Lima Peru: INEI. https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/... (accessed October 2020).

[8] National Institute of Statistics and Informatics (2019) Peru: Noncommunicable and Communicable Diseases, 2018 [Internet]. Lima Peru: INEI. https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/... (accessed October 2020).

[9] Carrillo-Larco RM & Bernabé-Ortiz A (2019) Type 2 diabetes mellitus in peru: a systematic review of prevalence and incidence in the general population. Rev Peru Med Exp Salud Publica 36, 26–36. - PMC - PubMed

[10] Carrillo-Larco RM & Bernabé-Ortiz A (2019) Type 2 diabetes mellitus in peru: a systematic review of prevalence and incidence in the general population. Rev Peru Med Exp Salud Publica 36, 26–36. - PMC - PubMed

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Cut-off points of anthropometric markers associated with hypertension and diabetes in Peru: Demographic and Health Survey 2018

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Cut-off points of anthropometric markers associated with hypertension and diabetes in Peru: Demographic and Health Survey 2018

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