Association between vitamin D3 levels and insulin resistance: a large sample cross-sectional study

AbstractPrevious studies have shown that vitamin D3 may be a potential factor in insulin resistance, but the relationship between vitamin D3 and insulin resistance still remains controversial. At present, more research is needed to explore the relationship between vitamin D3 and insulin resistance. The samples from 2009 to 2018 in NHANES database were analyzed to Investigate the relationship and the potential mechanism. We performed a cross-sectional study of five periods in the NHANES database. Finally, 9298 participants were selected through strict inclusion and exclusion criteria, Multivariate logistic regression analysis and curve fitting were conducted to explore the relationship between vitamin D3 level and insulin resistance. Moreover, subgroup analysis was used to further prove the association. The results revealed that there was a strong association between vitamin D3 and insulin resistance (OR 0.82, 95% CI 0.72–0.93). However, subgroup analyses indicated that this correlation varied between individuals and races. There was a negative correlation between vitamin D3 level and insulin resistance, which provides a new proof for exploring the influencing factors of insulin resistance. More well-designed studies are still needed to further elaborate on these associations.

Download Full-text

The relationship between Dietary Approaches to Stop Hypertension diet adherence and inflammatory factors and insulin resistance in overweight and obese women: a cross-sectional study

Diabetes Research and Clinical Practice ◽

10.1016/j.diabres.2021.109128 ◽

2021 ◽

pp. 109128

Author(s):

AkramTaheri ◽

Atieh Mirzababaei ◽

Leila Setayesh ◽

Habib Yarizadeh ◽

Farideh Shiraseb ◽

...

Keyword(s):

Insulin Resistance ◽

Cross Sectional Study ◽

Inflammatory Factors ◽

Obese Women ◽

Sectional Study ◽

Cross Sectional ◽

Diet Adherence ◽

The Relationship

Download Full-text

Anxiety and media exposure during COVID-19 outbreak in Kuwait

10.1101/2020.08.24.20180745 ◽

2020 ◽

Author(s):

lulua falah alasousi ◽

sara alhammouri ◽

sara alabdulhadi

Keyword(s):

Online Survey ◽

Demographic Data ◽

Media Exposure ◽

Cross Sectional Study ◽

Sectional Study ◽

Exclusion Criteria ◽

Cross Sectional ◽

Result Show ◽

Multivariable Regression ◽

The Relationship

Background: Rising fear and panic among public during COVID19 pandemic increase concern regarding anxiety cases in Kuwait. Media capture our attention during this period looking for daily virus update lead to more fear . Our purpose of this study to examine the relationship between anxiety and media exposure among Kuwaiti during COVID19 outbreak Method: cross sectional study among Kuwaiti citizen between age23-55yrs old was conducted from April,21,2020 to May,15,2020 using online survey. Total of 1230 participants involve in the current study after exclusion criteria removed. Beside demographic data and media exposure anxiety was assessed using generalized anxiety disorder scale GAD-7. multivariable regression was used to identify the correlation between anxiety and media exposure Result: the result show that there is positive correlation between media exposure and anxiety during COVID19 outbreak in Kuwait (p<.001), furthermore it revealed that there is significant relationship between the frequency of exposure and anxiety(<.001) Conclusion: from this study we can understand that during COVID19 pandemic exposure to media can cause anxiety therefore measures should be taken by the governments to fight misinformation and physician should pay more attention to mental health disease during this period.

Download Full-text

Relationship between estimated cardiovascular disease risk and insulin resistance in a black African population living with HIV: a cross-sectional study from Cameroon

BMJ Open ◽

10.1136/bmjopen-2017-016835 ◽

2017 ◽

Vol 7 (8) ◽

pp. e016835 ◽

Cited By ~ 6

Author(s):

Steve Raoul Noumegni ◽

Jean Joel Bigna ◽

Vicky Jocelyne Ama Moor epse Nkegoum ◽

Jobert Richie Nansseu ◽

Felix K Assah ◽

...

Keyword(s):

Insulin Resistance ◽

Cardiovascular Disease ◽

Cardiovascular Risk ◽

Hiv Infection ◽

Cross Sectional Study ◽

Sectional Study ◽

Cvd Risk ◽

Cross Sectional ◽

Black African ◽

The Relationship

ObjectivesCardiovascular disease (CVD) and metabolic diseases are growing concerns among patients with HIV infection as a consequence of the improving survival of this population. We aimed to assess the relationship between CVD risk and insulin resistance in a group of black African individuals with HIV infection.MethodsThis cross-sectional study involved patients with HIV infection aged 30–74 years and followed up at the Yaoundé Central Hospital, Cameroon. Absolute CVD risk was calculated using the Framingham and the DAD CVD risk equations while the HOMA-IR index was used to assess insulin resistance (index ≥2.1).ResultsA total of 452 patients (361 women; 80%) were screened. The mean age was 44.4 years and most of the respondents were on antiretroviral therapy (88.5%). The median 5-year cardiovascular risk was 0.7% (25th−75th percentiles: 0.2–2.0) and 0.6% (0.3–1.3) according to the Framingham and DAD equations respectively. Of all participants, 47.3% were insulin resistant. The Framingham equation derived absolute CVD risk was significantly associated with insulin resistance; while no linear association was found using the DAD equation.ConclusionThe relationship between cardiovascular risk and insulin resistance in black African patients with HIV infection seems to depend on the cardiovascular risk equation used.

Download Full-text

C1q/TNF-Related Protein5 (CTRP5) as a Biomarker to Predict Metabolic Syndrome and Each of Its Components

International Journal of Endocrinology ◽

10.1155/2018/7201473 ◽

2018 ◽

Vol 2018 ◽

pp. 1-8 ◽

Cited By ~ 2

Author(s):

Feiyu Jiang ◽

Min Yang ◽

Xili Zhao ◽

Rui Liu ◽

Gangyi Yang ◽

...

Keyword(s):

Insulin Resistance ◽

Metabolic Syndrome ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Multiple Stepwise Regression Analysis ◽

Glucose And Lipid Metabolism ◽

Study Population ◽

The Relationship

Objective. C1q/TNF-related protein5 (CTRP5) is a member of the C1q/tumor necrosis factor α- (TNF-α-) related protein family and has been reported to be associated with the regulation of glucose and lipid metabolism. However, the clinical association between CTRP5 and metabolic syndrome (MetS) has not been reported. The aim of the current study is to investigate the association between CTRP5 and MetS by a cross-sectional study. Methods. We performed a cross-sectional study in a Chinese population including 89 controls and 88 MetS individuals. Serum CTRP5 concentrations were determined by ELISA. The relationship between circulating CTRP5 and MetS and insulin resistance (IR) was assessed by Spearman’s correlation and multiple stepwise regression analysis. Results. Circulating CTRP5 concentrations were markedly decreased in MetS individuals relative to normal adults. Overweight/obese individuals (BMI ≥ 25 kg/m2) showed a lower serum CTRP5 level than lean subjects (BMI < 25 kg/m2) in the study population (124.1 (99.12–147.37) vs. 103.9 (79.15–124.25) μg/L; P<0.01). Circulating CTRP5 was found to be correlated negatively with BMI, FAT%, FBG, WHR, SBP, HbA1c, TG, 2-hour blood glucose after glucose overload (2-hOGTT), FIns, and HOMA-IR and positively with HDL-C (P<0.05 or P<0.01). Binary logistic regression revealed that serum CTRP5 levels were associated with MetS. In addition, serum CTRP5 levels gradually decreased with the increase in MetS components. Conclusions. Circulating CTRP5 is relative to the elevated risk of MetS in humans and may be in part through the effect of insulin resistance. This trial is registered with ChiCTR-OCS-13003185.

Download Full-text

Relationship between Fall History and Self-Perceived Motor Fitness in Community-Dwelling People: A Cross-Sectional Study

Journal of Clinical Medicine ◽

10.3390/jcm9113649 ◽

2020 ◽

Vol 9 (11) ◽

pp. 3649

Author(s):

Katsushi Yokoi ◽

Nobuyuki Miyai ◽

Miyoko Utsumi ◽

Sonomi Hattori ◽

Shigeki Kurasawa ◽

...

Keyword(s):

Multivariate Logistic Regression Analysis ◽

Cross Sectional Study ◽

Community Dwelling ◽

Sectional Study ◽

Related Factors ◽

Cross Sectional ◽

Fall Risk Factor ◽

Motor Fitness ◽

History Of ◽

The Relationship

History of falling is an important fall risk factor. If a relationship between fall history and self-perceived motor fitness could be established, then treating it as a correctable risk of re-fall due to falls may be possible. We conducted a cross-sectional study of the relationship between fall history and self-perceived motor fitness in daily life among 670 community-dwelling people (mean age 62.0 ± 9.6 years, 277 men and 393 women) who had participated in health examinations. They completed a self-administered questionnaire that asked about their history of single or multiple falls and included a 14-item motor fitness scale. The responses were analyzed using multivariate logistic regression analysis. The results showed that in both younger and older (<65 years) subjects, a history of single or multiple falls was associated with a negative response to “being able to put on socks, pants or a skirt while standing without support”. For subjects ≥65 years, an association was also observed with “shortness of breath when climbing stairs”. Self-perceived motor fitness related to fall history can easily be noticed by an individual and may help them become aware of fall-related factors earlier in everyday life.

Download Full-text

Increased TG/HDL Ratio Is A Risk Factor for Insulin Resistance:: A Cross-Sectional Study From the US National Health and Nutrition Examination Survey, 2017–2018

10.21203/rs.3.rs-156299/v1 ◽

2021 ◽

Author(s):

Rongpeng Gong ◽

Zheng Li ◽

Ya Liu ◽

Gang Luo ◽

Lixin Yang ◽

...

Keyword(s):

Insulin Resistance ◽

Risk Factor ◽

Hispanic Americans ◽

Cross Sectional Study ◽

American Population ◽

Sectional Study ◽

Cross Sectional ◽

Health And Nutrition ◽

The Us ◽

The Relationship

Abstract Background: Some previous studies have suggested that elevated TG/HDL ratio is a risk factor for the development of insulin resistance.There is also evidence that TG/HDL ratios are ethnically diverse.Currently, there is still insufficient evidence on whether TG/HDL is a risk factor for the occurrence of insulin resistance in the US population. Therefore, we attempted to find out whether TG/HDL represents a risk factor for the occurrence of insulin resistance in the US population by studying the NHANES database (2017-2108).Methods: After adjusting the potential influencing factors, we used the method of multiple logistic regression to analyze the risk between TG/HDL and insulin resistance, and determined whether there was a linear relationship between TG/HDL and insulin resistance by smoothing curve fitting.At the same time, in order to verify the reliability of the results, we conducted a subgroup analysis.Results: We found that in the American population, increased TG/HDL ratio was a risk factor for insulin resistance (OR=2.47 (2.01,3.04)).At the same time, we found a saturation effect between TG/HDL ratio and insulin resistance.When the ratio was <0.84, the relationship between TG/HDL and the occurrence of insulin resistance was very significant (OR=21.24 (9.29,48.56)), and when the ratio was ≥0.84, the effect value was relatively reduced (OR=1.45(1.10,1.92)).Conclusions:In this study, we found that TG/HDL is negatively correlated with insulin resistance in the American population (except Hispanic Americans), and this effect is especially significant in people with higher education.

Download Full-text

Vitamin D3 Level And Risk of Diabetes In Patients With Hyperuricemia

10.21203/rs.3.rs-253535/v1 ◽

2021 ◽

Author(s):

Gong Rongpeng ◽

Zixin Xu ◽

Xiaoxin Wei

Keyword(s):

Uric Acid ◽

Vitamin D3 ◽

Multivariate Logistic Regression Analysis ◽

Cross Sectional Study ◽

The Body ◽

Sufficient Evidence ◽

Cross Sectional ◽

Factors Affecting ◽

The Difference ◽

The Relationship

Abstract BackgroundPrevious studies have shown that hyperuricemia is involved in diabetes, obesity, hypertension, chronic kidney disease, and other diseases. At the same time, studies have shown that vitamin D3 levels in the body are linked to the onset of diabete. However, there is currently no sufficient evidence to prove whether this connection is affected by uric acid levels. Therefore, we attempted to investigate the relationship between vitamin D3 content and the occurrence of diabetes in the hyperuricemia population by using the data of the NHANES database from 2009 to 2018.MethodWe conducted a cross-sectional study using the NHANES database. According to strict inclusion and exclusion criteria, we finally selected 3543 representative data. Multivariate logistic regression analysis was used to explore the relationship between vitamin D3 and diabetes in the hyperuricemia population after complete adjustment. We found a linear relationship between vitamin D3 content and the incidence of diabetes.ResultThe results of this study showed that there was a correlation between the content of vitamin D3 and the incidence of diabetes in people with hyperuricemia, and the effect values (OR and 95% confidence interval) were 0.95and (0.92-0.98), respectively, and the difference was statistically significant.ConclusionOur study shows that vitamin D3 content is associated with the incidence of diabetes in people with high uric acid. This study provides a new idea for exploring the factors affecting the pathogenesis of diabetes in patients with hyperuricemia.

Download Full-text

Assessment of the Association between Hypertention & Body Mass Index in Patients Visiting at Department of Medicine Pmch Nawabshah

Journal of Pharmaceutical Research International ◽

10.9734/jpri/2021/v33i32b31745 ◽

2021 ◽

pp. 80-88

Author(s):

Sikander Ali Sial ◽

Jagdesh Kumar ◽

Attia Ayoob ◽

Anwar Ali Jamali ◽

Amir Hamzo Dahri ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Strong Association ◽

Cross Sectional Study ◽

Endocrine Disorders ◽

Sectional Study ◽

Cross Sectional ◽

Ethical Approval ◽

History Of ◽

The Relationship

Background: Hypertension is a common health issue all over the world; increased Body Mass Index (BMI) is alone one strong risk factor for the HTN. Objective: To assess the relationship between HTN & BMI in patients visited at department of Medicine PMCH Nawabshah. Methodology: This cross sectional study was conducted at PMC Hospital Nawabshah during March 2019 to February 2020. Sample size was 385. This study was conducted after ethical approval of institutional committee and willing male and female subjects with hypertension were included in present study after consent. Age ranges from 15 years and above. Those having other co morbidities like, DM, IHD, stroke and other metabolic and endocrine disorders were excluded from the study. Patients with history of drugs causing weight gain were also excluded. Results: there were total 385 subjects included, 130 were females and 245 were males1:2 ratio of female and male. Mean age of patients was 46.50 sd ± 8.65 years, mean BMI was 26.18 sd ± 4.73, mean systolic HTN was158.35sd ± 30.40 and mean diastolic blood pressure was 95.75 sd ± 12.91 mmHg. Conclusion: There is strong association between hypertension and BMI, as the BMI will increase the risk of HTN will increase.

Download Full-text

A high triglyceride/ high-density lipoprotein ratio is associated with an increased risk of insulin resistance in the US population: a cross-sectional study from the US National Health and Nutrition Examination Survey, 2017–2018

10.21203/rs.3.rs-154501/v1 ◽

2021 ◽

Author(s):

Rongpeng Gong ◽

Zheng Li ◽

Ya Liu ◽

Gang Luo ◽

Lixin Yang ◽

...

Keyword(s):

Insulin Resistance ◽

Logistic Regression ◽

Density Lipoprotein ◽

Smooth Curve ◽

Cross Sectional Study ◽

American Population ◽

Sectional Study ◽

Cross Sectional ◽

The Us ◽

The Relationship

Abstract Background Some previous studies have reported that the ratio of triglycerides to high-density lipoprotein may indicate insulin resistance, but the results suggest that there are differences between different ethnic groups. In this study, the NHANES 2017-2018 database was used to explore the relationship between TG/HDL-C and IR in the American population. Methods This trial comes from a cross-sectional study of NHANES ( http://www.cdc.gov/nchs/nhanes/ ) conducted by the National Center for Health Statistics (NCHS) of the US Centers for Diseases and Control and Prevention. IR uses the homeostatic model assessment (HOMA) formula as an indicator: [fasting insulin (μU/mL)×fasting blood glucose (mmol/L)]/22.5, with ≥75th percentile of HOMA-IR as an indicator. Use logistic regression to explore the relationship between TG/HDL ratio and IR occurrence. Results In this study, a total of 450 participants (40%,450/1902) developed insulin resistance. Using logistic regression model of the association between TG/HDL-C and insulin resistance risk, after adjusting for potential confounding factors, as the TG/HDL ratio increases, the probability of insulin resistance increases significantly (OR: 1.91, 95% CI: 1.59-2.30, P<0.0001). At the same time, we performed a smooth curve fitting and found a non-linear relationship between TG/HDL and IR. Even if the adjusted covariate is deleted from the model, the association remains unchanged. The smooth curve of TG/HDL-C The inflexion point is 0.95. When TG/HDL-C<0.95, the effect value is very significant (OR: 27.34, 95%CI, 10.61-70.47, P<0.0001), when TG/HDL-C≥0.95, the effect value is relatively reduced (OR: 1.29, 95% CI, 1.03-1.61, P<0.0001). We grouped them by inflexion points. Multiple regression equations showed that after adjustment, the group's risk of insulin resistance greater than 0.95 increased by two times compared with the group less than 0.95. Conclusions In this study, we found that the increase of TG/HDL-C ratio in the American population was significantly related to IR. It is clinically acceptable and can save some extra costs for patients. However, in different situations, combining the TG/HDL-C ratio with other risk factors to predict whether IR will occur is worthwhile for the next step.

Download Full-text