Neck circumference, cardiometabolic risk, and Framingham risk score: Population-based study

Zanuncio, Virgínia Vinha; Pessoa, Milene Cristine; Pereira, Patrícia Feliciano; Longo, Giana Zarbato

doi:10.1590/1678-98652017000600009

Cited by 10 publications

(10 citation statements)

References 24 publications

(48 reference statements)

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“…From all the cross-sectional studies, only 4 studies 19 , 22 , 25 , 29 are considered as a close representation of the general population. Finally, analyzing the risk of bias of the prevalence studies included, the majority represent a moderate risk 17 , 24 , 29 – 31 , 33 , 35 – 43 , 45 , 47 , 48 , 50 – 51 , 53 – 66 , 68 , 70 – 73 , 76 – 84 , 86 , 89 , 92 – 100 (57); some are low risk 16 , 18 – 23 , 25 – 29 , 32 , 34 , 44 , 49 (16); no study represents a high risk ( Table 4 – Table 6 ).…”

Section: Resultsmentioning

confidence: 99%

Neck circumference in Latin America and the Caribbean: A systematic review and meta-analysis

López¹,

Landeo²,

Mercado³

et al. 2021

Wellcome Open Res

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Background: High neck circumference (NC) is associated with high burden diseases in Latin American and the Caribbean (LAC). NC complements established anthropometric measurements for early identification of cardio-metabolic and other illnesses. However, evidence about NC has not been systematically studied in LAC. We aimed to estimate the mean NC and the prevalence of high NC in LAC. Methods: We conducted a systematic review in MEDLINE, Embase, Global Health and LILACS. Search results were screened and studied by two reviewers independently. To assess risk of bias of individual studies, we used the Hoy et al. scale and the Newcastle-Ottawa scale. We conducted a random-effects meta-analysis. Results: In total, 182 abstracts were screened, 96 manuscripts were reviewed and 85 studies (n= 51,978) were summarized. From all the summarized studies, 14 were conducted in a sample of the general population, 23 were conducted with captive populations and 49 studies were conducted with patients. The pooled mean NC in the general population was 35.69 cm (95% IC: 34.85cm-36.53cm; I²: 99.6%). In our patient populations, the pooled mean NC in the obesity group was 42.56cm (95% CI 41.70cm-43.42cm; I²: 92.40%). Across all studied populations, there were several definitions of high NC; thus, prevalence estimates were not comparable. The prevalence of high NC ranged between 37.00% and 57.69% in the general population. The methodology to measure NC was not consistently reported. Conclusions: Mean NC in LAC appears to be in the range of estimates from other world regions. Inconsistent methods and definitions hamper cross-country comparisons and time trend analyses. There is a need for consistent and comparable definitions of NC so that it can be incorporated as a standard anthropometric indicator in surveys and epidemiological studies.

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Section: Resultsmentioning

confidence: 99%

Neck circumference in Latin America and the Caribbean: A systematic review and meta-analysis

López¹,

Landeo²,

Mercado³

et al. 2021

Wellcome Open Res

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“…However, in our study, the NC was the one that best correlated with SMM. It has recently been found that elderly people with greater NC enable the identification of overweight and obesity [ 13 , 14 ] and there is a higher risk of developing cardiovascular diseases [ 11 , 12 ]. Therefore, being more reliable than traditional risk markers, such as the BMI [ 30 ], which had a weaker correlation, and the MNA that had no correlation with the SMM equations, suggesting that anthropometric measures are more efficient for stratification of nutritional status [ 15 ].…”

Section: Discussionmentioning

confidence: 99%

“…Thus, the determination of the SMM may be important for the diagnosis and monitoring of pathologies related to sarcopenia and nutritional aspects [ 4 ] or for the behavior analysis of this body component in people who participate in physical exercise programs [ 10 ]. Anthropometric indicators that allow the identification of the development of heart disease [ 11 , 12 ], overweight and obesity [ 13 , 14 ] and sarcopenia [ 8 , 9 ] are used to determine the existing relationship between nontransmissible chronic diseases, obesity and muscle decrease. Therefore, considering the population aging and the increase in life expectancy for elderly people, there is a need for studies that focus on preventive measures, less expensive, to minimize body changes that occur due to inadequate aging.…”

Section: Introductionmentioning

confidence: 99%

Correlation between muscle mass, nutritional status and physical performance of elderly people

Neves

Fett

Ferriolli

et al. 2018

Osteoporosis and Sarcopenia

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ObjectivesThis study evaluated the relationship between the skeletal muscle mass (SMM), obtained by predictive equations, and the body composition, nutritional aspects, functionality and physical performance in elderly people.MethodsThe sample consisted of adults aged 65 years or over from the cross-sectional study of the Brazilian Elderly Frailty Study Network, in Cuiabá, Mato Grosso State, Brazil. The anthropometric parameters, instrumental activities of daily living (IADL), Short Physical Performance Battery (SPPB), and handgrip strength (HGS) were evaluated. The SMM was estimated by 2 predictive anthropometric equations.ResultsBoth SMM equations correlated with age, anthropometric indices, SPPB, IADL, and HGS. However, only HGS and neck circumference strongly correlated in both equations, being higher in SMM II.ConclusionsIt seems that both equations are sensitive to obtain the SMM, contributing to the diagnosis of sarcopenia, nutritional status, and a physical performance condition.

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“…The relationships between WHtR, BMI, WC and WHR have been previously reported by various studies. [6,[8][9][10][11]20] Neck circumference as an indicator of cardiometabolic risk has also been reported, [21][22][23] but it is relatively recent and an emerging topic which should be better explored.…”

Section: Discussionmentioning

confidence: 99%

Cardiometabolic risk and its association with dietary diversity, activity patterns and the nutritional status of workers in tertiary educational institutions in Southwestern Nigeria

Adeomi

Akande

Obiajunwa

et al. 2020

Preprint

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Introduction Waist-to-height ratio (WHtR) is increasingly being reported as a simple, but accurate measure of cardiometabolic risk, even better than BMI, WHR and even waist circumference. Therefore, the objective of this study was to determine the cardiometabolic risk using WHtR, and its association with dietary diversity, activity patterns and the nutritional status of workers in tertiary educational institutions in Southwestern Nigeria. Materials and Methods This was a descriptive cross-sectional study carried out among workers in 3 randomly selected tertiary educational institutions in Osun State, Nigeria who were adults (18 years and above). Only apparently healthy people were recruited for the study. Cardiometabolic risk was assessed using WHtR, and respondents were categorized into low risk (WHtR < 0.5) or high risk (WHtR ≥ 0.5). Bivariate and multivariate (logistic regression model) analyses were used to determine the significant predictors of cardiometabolic risk. Level of significance was set at p-value less than 0.05. Results The mean age of the respondents was 45.8 ± 10.4 years, with a male:female ratio of 1:1.1. The mean WHtR among the respondents was 0.53 ± 0.08, and 36.5% had low cardio-metabolic risk while 63.5% had high cardiometabolic risk. The prevalence of overweight and obesity were 44.0% and 25.8% respectively using the BMI categories. At bivariate level, there were statistically significant associations between WHtR and age (p < 0.001), gender (p = 0.002), educational level (p = 0.046), marital status (p = 0.022), dietary diversity (p = 0.027) and activity patterns (p = 0.030). When these were entered into a binary logistic regression model, age (p = 0.028; CI = 1.003 to 1.060) and gender (p = 0.010; CI = 1.149 to 2.784) remained the only statistically significant explanatory variables for cardiometabolic risk using WHtR. Conclusion The study found a relatively high prevalence of cardiometabolic risk, overweight and obesity among the respondents, with age and gender being the main predictors of cardio-metabolic risk using WHtR. Therefore, there is a need for early screening for cardiometabolic risk using WHtR, especially among the females.

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Neck circumference, cardiometabolic risk, and Framingham risk score: Population-based study

Cited by 10 publications

References 24 publications

Neck circumference in Latin America and the Caribbean: A systematic review and meta-analysis

Neck circumference in Latin America and the Caribbean: A systematic review and meta-analysis

Correlation between muscle mass, nutritional status and physical performance of elderly people

Cardiometabolic risk and its association with dietary diversity, activity patterns and the nutritional status of workers in tertiary educational institutions in Southwestern Nigeria

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