Mid-upper arm circumference as a screening measure for identifying children with hypertension

Ma, Chunxiao; Li, Yang; Gao, Guo-qin; Yin, Fei; Wang, Rui; Liu, Xiaoli; Lü, Qiang

doi:10.1097/mbp.0000000000000122

Cited by 11 publications

(10 citation statements)

References 15 publications

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“…During the study it was established that the BMI correlates with UAC and UMA in both genders; in 2015 similar results were shown in a study by Ma et al [22].The present study concludes that the BMI correlates also with UFA in both genders, which confirms the BMI being associated with both fat and muscle mass. However, it was also found that both boys and girls have no statistically significant correlation between the BMI and AFI.…”

Section: Discussionsupporting

confidence: 88%

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Upper-arm anthropometry as nutritional assessment in preschool children in Latvian population

Lipsberga

Kažoka

2016

PoA

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This data is a part from the study ordered by the Ministry of Education to assess physical development of pre-school children in Latvia. Various somatometric measurements were determined – height (cm), the body mass (kg), the circumference of the head, chest, waist, hips (cm), vital lung capacity (ml), blood pressure (mm/Hg) and other parameters. This study evaluates the body mass index (BMI), overweight and obesity prevalence of pre-school children. Comparing the data with the data of other European countries, we can conclude how high the prevalence of overweight and obesity in our country is and what are potential activities to reduce the prevalence.

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Section: Discussionsupporting

confidence: 88%

“…In 2015 Sultana et al suggests that UAC could replace the BMI as an assessment of undernutrition [31]. Moreover, a study by Ma et al (2015) suggests that UAC is equivalent to the BMI and waist circumference as a screening test for hypertension in children [22].…”

Section: Discussionmentioning

confidence: 99%

Upper-arm anthropometry as nutritional assessment in preschool children in Latvian population

Lipsberga

Kažoka

2016

PoA

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“…Silva et al [34] reported no significant association between under-nutrition and hypertension amongst Brazilian children. In contrary, Ma et al [35] and Mazıcıoglu et al [36] reported a significant association between hypertension and MUAC in Chinese and Turkish children. Furthermore, in this study, there was a significant (p < 0.05) association between nutritional status variables (BMI MUAC, TUAA, UFA and UMA) and both SBP and DBP.…”

Section: Discussionmentioning

confidence: 89%

The Relationship between Under-Nutrition and Hypertension among Ellisras Children and Adolescents Aged 9 to 17 Years

Mphahlele

Monyeki

Dibakwane

et al. 2020

IJERPH

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Background: Globally, under-nutrition and hypertension in children has been associated with the risk of developing cardiovascular disease (CVD) in adulthood. The main objective of this study was to investigate the relationship between under-nutrition and hypertension, furthermore, to determine the risk of developing hypertension due to under-nutrition. Methods: The study comprised of 1701 participants (874 boys and 827 girls) between the ages of 9 and 17 years old. All anthropometric and blood pressure measurements were taken according to standard procedures. Mid-upper arm circumference (MUAC), body mass index (BMI), upper arm fat area (UFA), total upper arm area (TUAA) and upper arm muscle area (UMA) of Ellisras children were compared with the National Health and Nutrition Examination Survey III reference population. The linear regression models were used to determine the relationship between under-nutrition with hypertension for unadjusted and then adjusted for age and gender. The logistic regression model was used to determine the risk of under-nutrition on developing hypertension for unadjusted and adjusted for age and gender. Results: There was a positive significant (p < 0.0001) association between all under-nutrition variables (MUAC, BMI, UFA, TUAA and UMA) and systolic blood pressure (SBP; beta ranges between 0.84 and 2.78), and diastolic blood pressure (DBP; beta ranges between 0.3 and 1.08 before adjusting and after adjusting for age and gender (SBP, beta ranges between 0.59 and 2.00 and DBP (beta ranges between 0.24 and 0.80. Conclusion: The prevalence of under-nutrition was high while the prevalence of hypertension was low in this study. The mean under-nutrition variables (BMI, UFA, UMA and MUAC) of Ellisras children were far lower compared to the NHANES III reference population. Hypertension was significantly associated with under-nutrition in this study.

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“…[22] The prevalence of hypertension may be overestimated in these studies. Second, some new obesity indices, such as neck circumference [26] and mid-upper arm circumference, [42] had been used to screen elevated BP in children. These obesity indices were not in the meta-analysis because related research is few.…”

Section: Discussionmentioning

confidence: 99%

Performance of obesity indices for screening elevated blood pressure in pediatric population

Wang²,

Liu³

et al. 2016

Medicine

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Background:Hypertension is closely related with obesity in pediatric population. Obesity indices were used for screening elevated blood pressure (BP) in children and adolescents. The present study was to perform a meta-analysis to assess the performance of obesity indices, body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR), for identifying elevated BP in children and adolescents.Methods:Data sources were PubMed, EMBASE, Web of Science, Cochrane, and SCOPUS up to May 2016. Studies providing measures of diagnostic performance of obesity indices and using age-, sex-, and height-specific BP 95% as reference standard (the definition of United State Fourth Report) were included. We extracted available data on true-positive, false-positive, true-negative, and false-negative to construct a 2 × 2 contingency table and computed the pooled summary statistics for the sensitivities and specificities to estimate the diagnostic performance.Results:Nine eligible studies that evaluated 25,424 children and adolescents aged 6 to 18 years were included in the meta-analysis. The pooled sensitivities were 42% (BMI), 42% (WC), and 43% (WHtR). The pooled specificities were 80% (BMI), 75% (WC), and 77% (WHtR). The areas under the curve (AUCs) of obesity indices were 0.7780 (BMI), 0.7181 (WC), and 0.6697 (WHtR), respectively. In this meta-analysis, the BP measurements were based on 3 visits in only 1 study. The prevalence of hypertension may be overestimated in these studies.Conclusions:The present meta-analysis showed that the performance of obesity indices for identifying elevated BP was poor. Our findings do not support the performance of WC and WHtR is superior to BMI to help identify children with elevated BP.

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Mid-upper arm circumference as a screening measure for identifying children with hypertension

Abstract: The present study shows that MUAC is a simple, inexpensive, and accurate measurement for identifying hypertension in Han children. MUAC is equivalent to BMI and waist circumference as a screening test for hypertension.

Cited by 11 publications

References 15 publications

Upper-arm anthropometry as nutritional assessment in preschool children in Latvian population

Upper-arm anthropometry as nutritional assessment in preschool children in Latvian population

The Relationship between Under-Nutrition and Hypertension among Ellisras Children and Adolescents Aged 9 to 17 Years

Performance of obesity indices for screening elevated blood pressure in pediatric population

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