Association of Central Obesity with The Incidence of Cardiovascular Diseases and Risk Factors

Barroso, Taianah Almeida; Marins, Lucas Braga; Alves, Renata; Gonçalves, Ana Caroline Souza; Barroso, Sérgio; Rocha, Gabrielle de Souza

doi:10.5935/2359-4802.20170073

Cited by 95 publications

(76 citation statements)

References 15 publications

(28 reference statements)

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“…Additionally, more than onethird of respondents had waist circumference higher than normal (37.6%). These should be carefully considerejmmd since some studies noted that hypercholesterolemia, general and central obesity closely related to hypertension, atherosclerosis, metabolic syndrome, diabetes and cardiovascular diseases (Barroso, Marins, Alves, Gonçalves, Barroso, & Rocha, 2017;Hirani, Zaninotto, & Primatesta, 2007;Kearn, Dee, Fitzgerald, Doherty, & Perry, 2014;Kusuma, 2002;Memish, ElBcheraoui, Tuffaha, Robinson, Daoud, Jaber, et al, 2014). Hypercholesterolemia risk here is worsened by the respondents who reported never examined their blood cholesterol level that increase undetectable problem.…”

Section: Discussionmentioning

confidence: 99%

Type 2 Diabetes Mellitus Risk Level, Cardiovascular Diseases Risk Level, and Quality of Work Life among University Staffs; Correlational study

2018

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Type 2 diabetes mellitus and cardiovascular diseases are two of the most serious health problems produce wide negative impacts in Indonesia. Both diseases shares similar risks factors and may affect individual's health status and quality of work (QoWL). Unfortunately, there is no evidence reported the chronic diseases risk level and their correlation with QoWL among university staffs in Indonesia. This correlational study aimed to identify the risk level of Type 2 diabetes mellitus (T2DM) and cardiovascular diseases and it correlation with the QoWL among university staffs. As many as 125 university staffs from one of public university in West Java -Indonesia were recruited randomly and asked to complete Finnish Diabetes Risk-Assessment form, The Jakarta Cardiovascular Scale, and quality of work life (QoWL) Evaluation Scale. The collected data were analyzed using descriptive and Pearson Correlation test. Results showed that nearly half of respondents had chronic diseases risk elevation; T2DM (40.39) and cardiovascular diseases (49%). Additionally, more than half of them (52.40%) perceived that their QoWL was less satisfied. It was found there was a significant relationship between T2DM risk level and cardiovascular diseases risk (r = 0.513; p=0.00); however, there was no significant correlation, neither between T2DM risk level (p=0.54) nore cardiovascular disease risk level (p = 0.19) with QoWL. To summarize, the university staffs are vulnerable for developing chronic diseases and have less satisfied QoWL. Therefore, it is important for the university to develop policy or program that enhances the employees' opportunity in managing the risk and improving their health status and QoWL.

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Section: Discussionmentioning

confidence: 99%

Type 2 Diabetes Mellitus Risk Level, Cardiovascular Diseases Risk Level, and Quality of Work Life among University Staffs; Correlational study

2018

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“…Excessive body fat is among the primary risk factors for insulin resistance, hypertension and dyslipidaemia which may increase the risk of cardiovascular diseases and type II diabetes (Stranska et al, 2011). Moreover, obesity has been associated with an increased risk of cardiovascular diseases and all-cause mortality (Koolhaas et al, 2017;Barroso et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

A pilot study comparing bioelectrical impedance analysis and body mass index in determining obesity among staff of a Ghanaian University

Hayford

Appiah

Hassan

et al. 2019

Nutrition & Food Science

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Purpose -In Ghana, the body mass index (BMI) is widely used in clinical practice in assessing weight status, but it is limited as a measure of adiposity. The purpose of this study was to compare bioelectrical impedance analysis (BIA) and body mass index (BMI) methods in determining obesity among some Ghanaians.Design/methodology/approach -This was a cross-sectional survey involving 134 participants whose BMI were determined. Percentage body fat mass (%BF) and percentage visceral fat (%VF) were obtained by BIA using a hand-to-hand Omron body composition monitor with a weighing scale.Findings -Based on the WHO BMI criteria, 6.0 per cent of the participants were obese. However, according to BIA 18.7 and 20.9 per cent of the participants were obese according to % BF and %VF, respectively. The BMI and %BF showed higher prevalence of obesity among female participants (8.2 and 34.4 per cent, respectively) than male participants (4.1 and 5.5 per cent, respectively), whereas for %VF, obesity was higher among male participants than female participants (26.0 per cent, 14.8 per cent). There was significant positive correlation between BMI and % BF (r = 0.604, p = 0.001); and between BMI and %VF (r = 0.555, p = 0.001). NFS 49,2 240Research limitations/implications -There are discrepancies in the prevalence of obesity in the study population as measured by BMI and BIA methods. This suggests that the BMI and BIA may not be reliable tools for assessing obesity in this population. Further studies are needed to determine the cut-offs for BMI and BIA that are associated with metabolic risk in the population. The small sample size limits the generalizability of findings of this study.Originality/value -Body composition tends to vary by ethnicity and race; hence, it is essential to determine the appropriate tool for assessing adiposity in African populations for prompt and targeted interventions.

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“…Obesity remains a public health problem due to comorbidities such as diabetes, atherosclerosis, hypertension, and increased cardiovascular disease [1][2][3][4]. Global urbanisation and nutrition transition have aggravated a cluster of lifestyle related diseases [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Measures of obesity and accepted cardio-metabolic disease risk factors from a peri-urban female farm working population in South Africa

Randeria

Joseph

Mentoor

et al. 2019

Preprint

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Background: Cardiovascular diseases (CVD) remains a primary cause of (central) obesity-associated mortality among African populations. Measures of adiposity are reported as prevalence’s in a South African (SA) female farm working population at risk for cardio-and metabolic disease related to body mass index, (BMI), waist-to-hip ratio (W:H), waist circumference (WC) and visceral adiposity index (VAI), biochemical and metabolic blood parameters.Methods: A cross-section of female farm workers (n=120) from the Boland region in SA between the ages 20-60 years were recruited and classified according to different anthropometric indices including BMI, W:H, WC and the VAI, and subsequently divided into normal- and at risk groups for each index. Blood samples were analysed for inflammatory markers, serum insulin, glucose and a full lipid profile.Results: Prevalence’s and significant differences for the different adiposity measures between normal and overweight groups were: (BMI: 25.8% - 74.2%; p<0.0001); (W:H: 57.5% - 42.5%; p<0.0001); (WC: 42.0% vs 58.3%; p<0.0001); and (VAI: 48.3% vs 51.7%; p<0.0001). Systolic blood pressure (p<0.01) and diastolic blood pressure (p=0.03) were different within the BMI grouping, as well as VAT% (p<0.001) and SAT% (p<0.01). Differences were reported for body mass, BMI, WC and VAI within the W:H and WC groupings. Systolic (p=0.04) and diastolic blood pressure (p=0.0009) were different in the WC grouping. Metabolic healthy and unhealthy women showed differences in BMI (p<0.05); W:H (p<0.0001); WC (p<0.0001). Systolic and diastolic blood pressure were different between metabolic healthy (p<0.05) and unhealthy women (p=0.0005). The inflammatory cytokines were similarly elevated in the normal and obese groups TNFα; (p<0.0001); IL-6; (p<0.01), MCP-1; (p=0.0001), and resistin; (p<0.0001). For the W:H, IL-6 (p<0.01) and blood glucose (p=0.006) were different. The WC grouping showed differences in resistin (p<0.0001), MCP-1 (p<0.0001, blood glucose (p<0.01, and insulin (p=0.0002). For metabolic healthy vs unhealthy women, resistin (p<0.0001); MCP-1 (p=0.0007); blood glucose (p<0.01) and insulin (p<0.05) were different.Conclusion: Women suffering from obesity showed a higher pro-inflammatory profile and higher risk for cardio-metabolic disease using the BMI as a measure of adiposity compared to WC, W:H and VAI.

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Association of Central Obesity with The Incidence of Cardiovascular Diseases and Risk Factors

Cited by 95 publications

References 15 publications

Type 2 Diabetes Mellitus Risk Level, Cardiovascular Diseases Risk Level, and Quality of Work Life among University Staffs; Correlational study

Type 2 Diabetes Mellitus Risk Level, Cardiovascular Diseases Risk Level, and Quality of Work Life among University Staffs; Correlational study

A pilot study comparing bioelectrical impedance analysis and body mass index in determining obesity among staff of a Ghanaian University

Measures of obesity and accepted cardio-metabolic disease risk factors from a peri-urban female farm working population in South Africa

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