Neck circumference in relation to glycemic parameters: a systematic review and meta-analysis of observational studies

AbstractNeck circumference (NC) has been suggested as a predictor for blood pressure disorders. Therefore, we sought to conduct a systematic review and meta-analysis regarding the association between NC and blood pressure in adults. Pertinent studies were identified by searching PubMed and Scopus databases, up to March 2018. Studies which reported the correlation coefficient between NC, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were selected. Also, studies reported the odds ratio (OR) of hypertension or pre-hypertension included adults older than 18 years old were selected. Results were pooled using a random-effects model. Of 29 studies included in meta-analysis, 26 studies reported only correlation coefficient, 3 studies reported only odds ratio and 2 studies reported both correlation coefficient and odds ratio. Overall, NC was significantly correlated with SBP [ES (z)=0.20; 95% CI=0.18, 0.23] and DBP [ES (z)=0.20; 95% CI=0.16, 0.24]. Type of correlation coefficient was the sources of observed heterogeneity. Also, NC was directly associated with the risk of hypertension (OR=1.29; 95% CI: 1.06–1.56), but not pre-hypertension (OR=1.18; 95% CI: 0.92, 1.52). Furthermore, subgroup analysis based on the region indicated that the studies conducted in Western regions reported higher risk of HTN in association with NC (OR=1.27; 95% CI: 1.23–1.32), but not among those conducted in the Eastern regions (OR=1.11; 95% CI: 0.96–1.28). NC seems to be a new anthropometric measurement, which is probably a good predictor of elevated blood pressure, especially in the Western population.

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The association between dietary inflammatory index and risk of central obesity in adults: An updated systematic review and meta-analysis

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000648 ◽

2020 ◽

Vol 90 (5-6) ◽

pp. 535-552 ◽

Cited By ~ 2

Author(s):

Mahdieh Abbasalizad Farhangi ◽

Mahdi Vajdi

Keyword(s):

Systematic Review ◽

Observational Studies ◽

Central Obesity ◽

Assessment Tool ◽

Weighted Mean Difference ◽

Meta Analysis ◽

Dietary Factors ◽

Cross Sectional ◽

Inflammatory Status ◽

Obesity Indices

Abstract. Backgrounds: Central obesity, as a pivotal component of metabolic syndrome is associated with numerous co-morbidities. Dietary factors influence central obesity by increased inflammatory status. However, recent studies didn’t evaluate the association between central obesity and dietary inflammation index (DII®) that give score to dietary factors according to their inflammatory potential. In the current systematic review and meta-analysis, we summarized the studies that investigated the association between DII® with central obesity indices in the general populations. Methods: In a systematic search from PubMed, SCOPUS, Web of Sciences and Cochrane electronic databases, we collected relevant studies written in English and published until 30 October 2019. The population of included studies were apparently healthy subjects or individuals with obesity or obesity-related diseases. Observational studies that evaluated the association between DII® and indices of central obesity including WC or WHR were included. Results: Totally thirty-two studies were included; thirty studies were cross-sectional and two were cohort studies with 103071 participants. Meta-analysis of observational studies showed that higher DII® scores were associated with 1.81 cm increase in WC (Pooled weighted mean difference (WMD) = 1.813; CI: 0.785–2.841; p = 0.001). Also, a non-significant increase in the odds of having higher WC (OR = 1.162; CI: 0.95–1.43; p = 0.154) in the highest DII category was also observed. In subgroup analysis, the continent, dietary assessment tool and gender were the heterogeneity sources. Conclusion: The findings proposed that adherence to diets with high DII® scores was associated with increased WC. Further studies with interventional designs are necessary to elucidate the causality inference between DII® and central obesity indices.

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