Research Paper Anthropometry

Chi-square test and general linear model test were used to determine the differences of categorical and continuous variables, respectively, in the characteristics of the subjects with low or high CRP and NLR levels.

Odds ratios (OR) with 95% confidence interval were derived using multivariate logistic regression analysis to compare the association of dietary patterns, anthropometric status, and metabolic parameters with CRP and NLR levels in men and women.

The cross-sectional study was performed to examine data collected from a Mei Jau (MJ) Group, a private health management screening institution in Taiwan, from 2004 to 2013.

The MJ Group’s four health screening centers in Taiwan in Taipei, Taoyuan, Taichung, and Kaohsiung (listed from north to south) were used to collect pertinent information for the study.

Several studies have investigated the effect of dietary patterns, anthropometric measurements, or metabolic parameters on inflammatory markers [18, 19].

However, the study investigated all these factors in metabolic syndrome population using CRP and NLR as the indicators of inflammation was still rare.

Research Paper Anthropometry-5Research Paper Anthropometry-35

However, the underlying factors of inflammation in metabolic syndrome are not fully understood. The previous study revealed that high intake of trans fatty acids had a positive correlation with inflammation [7].Metabolic syndrome was defined by the International Diabetes Federation.Multivariate logistic regression was performed to evaluate the association of dietary patterns, anthropometric measurements, and metabolic parameters with C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR) in men and women with metabolic syndrome. The western dietary pattern, obesity, high body fat, high waist or hip circumference, and high waist-to-hip ratio were significantly associated with increased odds ratios of high CRP and NLR in both genders.Data collected included demographic data, lifestyle, diet, anthropometric data, biochemical parameters, and other health related data from the individuals who came to their health screening centers for a regular health check-up [9].A total of 60,769 individuals with age ≥ 35 y met criteria of metabolic syndrome from the MJ database between 20.Anthropometric parameters were also correlated with inflammation.Obesity defined by body mass index (BMI) and waist circumference was associated with inflammation [12].After excluding the individuals (n = 23,377) who had renal dysfunction, liver problems, or all types of cancer, and those who (n = 11,376) with missing data on food frequency questionnaire (FFQ), anthropometric measurements, or biochemical parameters, a total of 26,016 subjects were finally recruited for analysis in this study.The components of metabolic syndrome were proposed by the IDF in 2005 and defined as individuals who had central obesity (waist circumference ≥ 90 cm for men or ≥ 80 cm for women in Taiwan) with two of four factors: (1) systolic BP ≥ 130 mm Hg, diastolic BP ≥ 85 mm Hg or history of the therapy of hypertension, (2) HDL-C 2 h a week).Both CRP and NLR serve as inflammatory indicators that can be easily measured and serve as independent predictors for both the development of metabolic syndrome and CVD [20].Thus, the objective of the study was to determine the association of dietary patterns, anthropometric measurements, and metabolic parameters with inflammatory markers using CRP and NLR among middle-aged and older adults with metabolic syndrome in Taiwan.

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