scholarly journals Metabolic Syndrome Knowledge among Adults with Cardiometabolic Risk Factors: A Cross-Sectional Study

2019 ◽  
Vol 16 (1) ◽  
pp. 159 ◽  
Author(s):  
Qun Wang ◽  
Sek Ying Chair ◽  
Eliza Mi-Ling Wong ◽  
Ruth E. Taylor-Piliae ◽  
Xi Chen Hui Qiu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Formal Education ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional ◽  
Lipid Management ◽  
History Of

Metabolic syndrome (MetS) is a cluster of cardiometabolic risk factors. Many people may be unaware of their risk for MetS. A cross-sectional, descriptive study was conducted among hospitalized patients with at least one cardiometabolic risk factor in Mainland China. This study assessed the MetS knowledgelevel(through MetS Knowledge Scale, MSKS) and examined the potential predictors by regression analysis. A total of 204 patients aged 58.5 ± 10.1 years (55% males) participated in this study. The majority of participants had no history of hypertension (54%), dyslipidemia (79%), or diabetes (85%). However, 56% of these participants had at least three cardiometabolic risk factors, indicating the presence of MetS. The average MSKS was very low (mean = 36.7±18.8, possible range = 0–100), indicating the urgent needs of MetS education in current practice. Predictors of better MetS knowledge included higher educational level, history of dyslipidemia, and normal high-density lipoprotein cholesterol (F (8, 195) = 9.39, adjusted R2 = 0.192, p< 0.001). In conclusion, adults with cardiometabolic risk factors are at risk of developing MetS, but with a low level of knowledge. Specific health education on MetS should be provided, particularly for those with limited formal education or inadequate lipid management.

scholarly journals Optimal waist:height ratio cut-off point for cardiometabolic risk factors in Turkish adults

2009 ◽  
Vol 13 (4) ◽  
pp. 488-495 ◽  
Author(s):  
Ahmet Selçuk Can ◽  
Emine Akal Yıldız ◽  
Gülhan Samur ◽  
Neslişah Rakıcıoğlu ◽  
Gülden Pekcan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Cardiometabolic Risk ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Youden Index ◽  
Cross Sectional ◽  
Men And Women

AbstractObjectiveTo identify the optimal waist:height ratio (WHtR) cut-off point that discriminates cardiometabolic risk factors in Turkish adults.DesignCross-sectional study. Hypertension, dyslipidaemia, diabetes, metabolic syndrome score ≥2 (presence of two or more metabolic syndrome components except for waist circumference) and at least one risk factor (diabetes, hypertension or dyslipidaemia) were categorical outcome variables. Receiver-operating characteristic (ROC) curves were prepared by plotting 1 − specificity on the x-axis and sensitivity on the y-axis. The WHtR value that had the highest Youden index was selected as the optimal cut-off point for each cardiometabolic risk factor (Youden index = sensitivity + specificity − 1).SettingTurkey, 2003.SubjectsAdults (1121 women and 571 men) aged 18 years and over were examined.ResultsAnalysis of ROC coordinate tables showed that the optimal cut-off value ranged between 0·55 and 0·60 and was almost equal between men and women. The sensitivities of the identified cut-offs were between 0·63 and 0·81, the specificities were between 0·42 and 0·71 and the accuracies were between 0·65 and 0·73, for men and women. The cut-off point of 0·59 was the most frequently identified value for discrimination of the studied cardiometabolic risk factors. Subjects classified as having WHtR ≥ 0·59 had significantly higher age and sociodemographic multivariable-adjusted odds ratios for cardiometabolic risk factors than subjects with WHtR < 0·59, except for diabetes in men.ConclusionsWe show that the optimal WHtR cut-off point to discriminate cardiometabolic risk factors is 0·59 in Turkish adults.

scholarly journals Association between cardiometabolic risk factors and body mass index, waist circumferences and body fat in a Zanzibari cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e025397 ◽  
Author(s):  
Maria Adam Nyangasa ◽  
Christoph Buck ◽  
Soerge Kelm ◽  
Mohammed Ali Sheikh ◽  
Kim Laura Brackmann ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Fat ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Sectional Study ◽  
Cross Sectional ◽  
Obesity Indices

ObjectivesTo determine the prevalence of obesity indices (body mass index (BMI), waist circumference (WC), body fat per cent (BF%)) and cardiometabolic risk factors. To investigate the association between obesity indices and cardiometabolic risk factors in a Zanzibari population.DesignsCross-sectional study.SettingsParticipants randomly selected from 80 Shehias (wards) in Unguja, Zanzibar in 2013.ParticipantsA total of 470 participants between 5 and 95 years were examined. Data on socioeconomic status, area of residence, anthropometry and venous blood were collected. Associations between obesity indices and cardiometabolic risk factors were investigated using multilevel logistic regression analyses in two steps: first, each obesity indicator was tested independently; second, all indicators combined in one model were tested for their association with cardiometabolic risk factors.ResultsThe proportion of overweight/obese individuals was 26.4%, high WC (24.9%) and high BF% (31.1%). Cardiometabolic risk factors with highest prevalence of abnormal values included hypertension (24.5%), low high-density lipoprotein cholesterol (HDL-C) (29.4%), high low-density lipoprotein cholesterol (LDL-C) (21.3%) and high glycated haemoglobin (HbA1c) (19.1%). Obesity and hypertension increased with age, and were most prevalent in participants aged 45 years and above. Low HDL-C was most prevalent among participants aged ≥18 to <45 years, while high LDL-C was more prevalent in those above 45 years. High WC and high BF% were associated with high levels of LDL-C (OR=2.52 (95% CI 1.24 to 5.13), OR=1.91 (95% CI 1.02 to 3.58), respectively). Additionally, BMI and WC were associated with high levels of HbA1c (OR=2.08 (95% CI 1.15 to 3.79), OR=3.01 (95% CI 1.51 to 6.03), respectively). In the combined regression model, WC was associated with higher chances for hypertension (OR=2.62 (95% CI 1.14 to 6.06)) and for high levels of HbA1c (OR=2.62 (95% CI 1.12 to 6.15)).ConclusionHigh BMI, WC and BF% were strongly associated with hypertension, with individuals with high WC being twice more likely to have hypertension; this calls for early and effective screening strategies for this study population.

scholarly journals Association between access to social service resources and cardiometabolic risk factors: a machine learning and multilevel modeling analysis

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e025281 ◽  
Author(s):  
Seth A Berkowitz ◽  
Sanjay Basu ◽  
Atheendar Venkataramani ◽  
Gally Reznor ◽  
Eric W Fleegler ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Learning Algorithm ◽  
Density Lipoprotein ◽  
Social Needs ◽  
Cardiometabolic Risk Factors ◽  
Secondary Outcome ◽  
Haemoglobin A1c ◽  
Cross Sectional

ObjectivesInterest in linking patients with unmet social needs to area-level resources, such as food pantries and employment centres in one’s ZIP code, is growing. However, whether the presence of these resources is associated with better health outcomes is unclear. We sought to determine if area-level resources, defined as organisations that assist individuals with meeting health-related social needs, are associated with lower levels of cardiometabolic risk factors.DesignCross-sectional.SettingData were collected in a primary care network in eastern Massachusetts in 2015.Participants and primary and secondary outcome measures123 355 participants were included. The primary outcome was body mass index (BMI). The secondary outcomes were systolic blood pressure (SBP), low-density lipoprotein (LDL) cholesterol and haemoglobin A1c (HbA1c). All participants were included in BMI analyses. Participants with hypertension were included in SBP analyses. Participants with an indication for cholesterol lowering were included in LDL analyses and participants with diabetes mellitus were included in HbA1c analyses. We used a random forest-based machine-learning algorithm to identify types of resources associated with study outcomes. We then tested the association of ZIP-level selected resource types (three for BMI, two each for SBP and HbA1c analyses and one for LDL analyses) with these outcomes, using multilevel models to account for individual-level, clinic-level and other area-level factors.ResultsResources associated with lower BMI included more food resources (−0.08 kg/m2per additional resource, 95% CI −0.13 to −0.03 kg/m2), employment resources (−0.05 kg/m2, 95% CI −0.11 to −0.002 kg/m2) and nutrition resources (−0.07 kg/m2, 95% CI −0.13 to −0.01 kg/m2). No area resources were associated with differences in SBP, LDL or HbA1c.ConclusionsAccess to specific local resources is associated with better BMI. Efforts to link patients to area resources, and to improve the resources landscape within communities, may help reduce BMI and improve population health.

scholarly journals A population-based cross-sectional study of the association between facial morphology and cardiometabolic risk factors in adolescence

BMJ Open ◽  
2013 ◽  
Vol 3 (5) ◽  
pp. e002910 ◽  
Author(s):  
Jelena Djordjevic ◽  
Debbie A Lawlor ◽  
Alexei I Zhurov ◽  
Arshed M Toma ◽  
Rebecca Playle ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Facial Morphology ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Sleep and Association With Cardiovascular Risk Among Midwestern US Firefighters

2021 ◽  
Vol 12 ◽  
Author(s):  
Juan Luis Romero Cabrera ◽  
Mercedes Sotos-Prieto ◽  
Antonio García Ríos ◽  
Steven Moffatt ◽  
Costas A. Christophi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Body Fat ◽  
Cardiometabolic Risk ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Short Sleep

IntroductionCardiovascular disease is the leading cause of on-duty fatalities among U.S. firefighters. Research has demonstrated that many modifiable risk factors are contributors to the high prevalence of cardiometabolic risk factors. The current study aimed to assess whether sleep is associated with cardiometabolic risk factors among Indianapolis firefighters. The findings could support improving sleep hygiene in this population.Material and MethodsThis cross-sectional study was conducted from the baseline data of eligible firefighters enrolled in “Feeding America’s Bravest”, a Mediterranean diet lifestyle intervention within the Indiana Fire Departments. Participants’ sleep quality was categorized as “good” (≤ 8 points) or “bad” (&gt;8 points) by a sleep quality questionnaire based on some questions from Pittsburgh Sleep Quality Index. In addition, firefighters’ sleep duration was stratified based on the number of hours slept per night (≤6 as “short sleep” or &gt;6 hours as normal). Linear and logistic regression models were used to examine the association of sleep with cardiometabolic risk factors.ResultsA total of 258 firefighters were included. Bad sleepers had higher weight, greater waist circumference, higher body mass index (BMI), and increased body fat (all p&lt;0.01) compared to good sleepers. Similarly, participants with short sleep duration were heavier (p&lt;0.02), had greater BMI (p&lt;0.02) and increased body fat (p&lt;0.04) compared with participants with normal sleep duration. Both bad and short sleepers had a higher prevalence of hypertension and obesity (p &lt;0.05).ConclusionsOur study supports that both sleep quality and quantity are associated with cardiometabolic risk among firefighters.

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