Predictive Ability of Seven Anthropometric Indices for Cardiovascular Risk Markers and Metabolic Syndrome in Adolescents

Silva, Kellen Cristine; Paiva, Natália Santana; Faria, Franciane Rocha de; Franceschini, Sylvia do Carmo Castro; Piore, Silvia Eloiza

doi:10.1016/j.jadohealth.2019.10.021

Cited by 13 publications

(12 citation statements)

References 29 publications

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“…Conicity index has been associated with an excellent predictive capacity of metabolic syndrome in adolescents (Cristine Silva et al, 2020) and in older people (Ceolin et al, 2019). Furthermore, CI has demonstrated to be a good predictor of future diabetes (Andrade et al, 2016;Wang et al, 2019;Hernández-Vásquez et al, 2020) and hypertension (Andrade et al, 2016;Hernández-Vásquez et al, 2020).…”

Section: Associated Health Aspectsmentioning

confidence: 99%

Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

et al. 2021

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Obesity is characterized by the accumulation of an excessive amount of fat mass (FM) in the adipose tissue, subcutaneous, or inside certain organs. The risk does not lie so much in the amount of fat accumulated as in its distribution. Abdominal obesity (central or visceral) is an important risk factor for cardiovascular diseases, diabetes, and cancer, having an important role in the so-called metabolic syndrome. Therefore, it is necessary to prevent, detect, and appropriately treat obesity. The diagnosis is based on anthropometric indices that have been associated with adiposity and its distribution. Indices themselves, or a combination of some of them, conform to a big picture with different values to establish risk. Anthropometric indices can be used for risk identification, intervention, or impact evaluation on nutritional status or health; therefore, they will be called anthropometric health indicators (AHIs). We have found 17 AHIs that can be obtained or estimated from 3D human shapes, being a noninvasive alternative compared to X-ray-based systems, and more accessible than high-cost equipment. A literature review has been conducted to analyze the following information for each indicator: definition; main calculation or obtaining methods used; health aspects associated with the indicator (among others, obesity, metabolic syndrome, or diabetes); criteria to classify the population by means of percentiles or cutoff points, and based on variables such as sex, age, ethnicity, or geographic area, and limitations.

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Section: Associated Health Aspectsmentioning

confidence: 99%

Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

et al. 2021

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“…Moreover, the excellent performance of WHtR with the summarised area under the receiver operating characteristic (ROC) curve (AUC) in discriminating MetS exceeded 0.8 [ 13 ]. Since that, a range of new original studies have been published, presenting good but diverse discriminating performances of WHtR in screening various CMRs and MetS based on different population and methodologies [ 8 , 20 – 24 ].…”

Section: Introductionmentioning

confidence: 99%

Performance of waist-to-height ratio as a screening tool for identifying cardiometabolic risk in children: a meta-analysis

Jiang

Dou

Chen

et al. 2021

Diabetol Metab Syndr

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Objective To provide the latest evidence of performance and robustness of waist-to-height ratio (WHtR) in discriminating clusters of cardiometabolic risk factors (CMRs) and promote WHtR in routine primary health care practice in children, a meta-analysis was used. Methods Searches was performed in eight databases from inception to July 03, 2020. Inclusion criteria were: (1) observational study, (2) children and adolescents, (3) provided WHtR measurements, (4) had CMRs as outcomes, and (5) diagnostic studies. Exclusion criteria were: (1) non-original articles, (2) unable to extract 2 × 2 contingency tables, (3) not in English or Chinese language, (4) populations comprising clinical patients, or (5) duplicate articles. WHtR cutoff points, 2 × 2 contingency tables were extracted from published reports. Outcomes included: CMR clusters of at least three CMRs (CMR3), two (CMR2), one (CMR1), and CMR components. Bivariate mixed-effects models were performed to estimate the summarised area under the curves (AUSROC) with 95% CIs and related indexes. We conducted subgroup analyses by sex and East Asian ethnicity. Results Fifty-three observational studies were included. The AUSROC reached 0.91 (95% CI: 0.88–0.93), 0.85 (95% CI: 0.81, 0.88) and 0.75 (95% CI: 0.71, 0.79) for CMR3, CMR2, and CMR1, respectively. The pooled sensitivity and specificity for CMR3 reached 0.84 and exceeded 0.75 for CMR2. For CMR1, the sensitivity achieved 0.55 with 0.84 for specificity. We had similar findings for our subgroup and sensitivity analyses. Conclusions WHtR shows good and robust performance in identifying CMRs clustering across racial populations, suggesting its promising utility in public health practice globally.

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“…This study aimed to clarify whether BMI, WC, WHtR and Acanthosis nigricans could be used as clinical markers for early detection of IR and MetS among pre-pubertal children with overweight and obesity, so as to plan further evaluation and aggressive life style changes to prevent progression of MetS components [24,25].…”

Section: Early Clinical Indicators Of Metabolic Syndrome and Insulin Resistance In A Cohort Of Greek Children With Obesitymentioning

confidence: 99%

Early Clinical Indicators of Metabolic Syndrome and Insulin Resistance in A Cohort of Greek Children with Obesity

Vlachopapadopoulou¹,

Dikaiakou²,

Anagnostou³

et al. 2020

J Obes Chronic Dis

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Background: Prevalence of childhood obesity in Greece is reported to be among the highest worldwide.Objective: To investigate whether anthropometric indices such as Body Mass Index (BMI), Waist to Height Ratio (WHtR) and Acanthosis nigricans can be useful early indicators of Metabolic Syndrome (MetS) and Insulin Resistance (IR) in Greek children affected by obesity. Furthermore, to estimate the prevalence of Mets in this population.Method: Data from 189 pre-pubertal children with overweight and obesity (45% boys) with mean age 9.8 ± 2.3 years were analyzed. Results: IR, as indicated by Homeostasis Model Assessment of InsulinResistance (HOMA-IR) of ≥ 3, was present in 33.3% of the children, while 12.7% of them met the criteria for Mets. The mean BMI was greater in children with IR (p < 0.001). Also, children with IR had greater Waist Circumference (WC) (p < 0.001). Acanthosis nigricans (p = 0.041) and increased fat percentage (p = 0.003) were associated with greater likelihood for IR. WHtR was associated with greater odds for IR (p = 0.048). Among children with MetS, 54.2% had IR and they were all affected by obesity. Increased WC was associated with the presence of MetS (p = 0.046), while for one unit increase in BMI the likelihood for MetS was found to increase about 14% (p = 0.001).Conclusions: Increased WC, BMI, WHtR and Acanthosis nigricans are early clinical indicators for increased metabolic risk.

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Predictive Ability of Seven Anthropometric Indices for Cardiovascular Risk Markers and Metabolic Syndrome in Adolescents

Cited by 13 publications

References 29 publications

Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

Performance of waist-to-height ratio as a screening tool for identifying cardiometabolic risk in children: a meta-analysis

Early Clinical Indicators of Metabolic Syndrome and Insulin Resistance in A Cohort of Greek Children with Obesity

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