scholarly journals Relationship Between Handgrip Strength and the Prevalence of Diabetes Mellitus Among Korean Adults: Korean National Health and Nutrition Examination Survey, 2014-2018

2021 ◽  
Vol 30 (1) ◽  
pp. 110-121
Author(s):  
Sung-hyun Hong ◽  
Ji-yong Byeon ◽  
Ji-hee Min ◽  
Dong-hyuk Park ◽  
Won-hee Cho ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
National Health ◽  
Handgrip Strength ◽  
Age Groups ◽  
Nutrition Examination Survey ◽  
Lower Tertile ◽  
Health And Nutrition ◽  
The Relationship ◽  
Prevalence Of Diabetes Mellitus ◽  
One Way Anova

PURPOSE: The study aimed to examine whether handgrip strength (HGS) expressed as absolute or relative to body weight is associated with fasting glucose (FG), hemoglobin A1c (HbA1c) and the prevalence of diabetes mellitus (DM) in different age categories.METHODS:A total of 28,129 adults from the Korea National Health and Nutrition Examination Survey of 2014-2018 was analyzed. To examine the relationship between HGS and variables related to DM, participants were categorized into three groups according to their HGS (Tertile). Then, participants were further categorized into six groups according to their age. One-way ANOVA and logistic regression analyses were performed.RESULTS: Compared with participants in the upper tertile of absolute handgrip strength (AHGS), those in the lower tertile were older, shorter and heavier and also had higher FG and HbA1c. When age was adjusted, the prevalence of DM was 1.19 times (95% CI: 1.03-1.38) higher among men in the lowest tertile of AHGS. On the other hand, compared with participants in the highest tertile of relative handgrip strength (RHGS), those in the lowest tertile had 2.10 times (95% CI: 1.87-2.41) and 2.42 times (95% CI: 2.08-2.81) higher prevalence of DM in men and women, respectively. When the associations were examined according to age subcategories, significant associations between AHGS and the prevalence of DM were seen only in men in their 50s and 60s, but not seen in women in all age groups, with the exception of the 60s. However, significant associations between RHGS and the prevalence of DM were seen in all age subcategories.CONCLUSIONS:We concluded that the association between HGS and the prevalence of DM was dependent on age and RHGS is a stonger measure than AHGS.

scholarly journals Prevalence, awareness, treatment, and control of dyslipidemia among diabetes mellitus patients and predictors of optimal dyslipidemia control: results from the Korea National Health and Nutrition Examination Survey

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Seung Jae Kim ◽  
Oh. Deog Kwon ◽  
Kyung-Soo Kim
Keyword(s):  
Diabetes Mellitus ◽  
Optimal Control ◽  
National Health ◽  
Age Groups ◽  
Density Lipoprotein ◽  
Nutrition Examination Survey ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Factors Influencing ◽  
And Control

Abstract Background This study aimed to investigate the prevalence, awareness, treatment, and control rates of dyslipidemia and identify the predictors of optimal control (low-density lipoprotein cholesterol < 100 mg/dL) among patients with diabetes mellitus (DM). Methods A cross-sectional study was conducted using the representative Korea National Health and Nutrition Examination Survey (2014–2018). Overall, 4311 patients with DM, aged ≥19 years, and without cardiovascular diseases were selected, and the prevalence, awareness, treatment, and control rates of dyslipidemia were calculated. Univariate and multivariate logistic regression analyses were conducted to evaluate the factors influencing the optimal control of dyslipidemia. Results Dyslipidemia was prevalent in 83.3% of patients with DM, but the awareness and treatment rates were 36.5 and 26.9%, respectively. The control rate among all patients with dyslipidemia was 18.8%, whereas it was 61.1% among those being treated. Prevalence and awareness rates were also significantly higher in women than in men. Dyslipidemia was most prevalent in those aged 19–39 years, but the rates of awareness, treatment, and control among all patients with dyslipidemia in this age group were significantly lower than those in other age groups. The predictors of optimal control were age ≥ 40 years [range 40–49 years: adjusted odds ratio (aOR) 3.73, 95% confidence interval (CI) 1.43–9.72; 50–59 years: aOR 6.25, 95% CI 2.50–15.65; 60–69 years: aOR 6.96, 95% CI 2.77–17.44; 70–79 years: aOR 9.21, 95% CI 3.58–23.74; and ≥ 80 years: aOR 4.43, 95% CI 1.60–12.27]; urban living (aOR 1.44, 95% CI 1.15–1.80); higher body mass index (aOR 1.27, 95% CI 1.13–1.42); lower glycated hemoglobin levels (aOR 0.71, 95% CI 0.67–0.76); hypertension (aOR 1.53, 95% CI 1.22–1.92); poorer self-rated health status (aOR 0.72, 95% CI 0.62–0.84); and receiving regular health check-ups (aOR 1.58, 95% CI 1.25–2.00). Conclusions Most patients with DM were diagnosed with dyslipidemia, but many were unaware of or untreated for their condition. Therefore, their control rate was suboptimal. Thus, by understanding factors influencing optimal control of dyslipidemia, physicians should make more effort to encourage patients to undergo treatment and thus, adequately control their dyslipidemia.

scholarly journals Relationship between dietary choline intake and diabetes mellitus in the National Health and Nutrition Examination Survey 2007-2010

2020 ◽  
Author(s):  
Long Zhou ◽  
Xiang Li ◽  
Shuhong Li ◽  
Xiaoxiao Wen ◽  
Yaguang Peng ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
National Health ◽  
Dose Response ◽  
Adult Population ◽  
The United States ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Choline Intake ◽  
Dietary Choline ◽  
The Relationship

Background: Previous studies have shown that elevated trimethylamine N-oxide (TMAO) was associated with a higher risk of diabetes mellitus (DM). Little is known about the relationship between dietary intake of choline, which is a major dietary precursor for gut microbiome-derived TMAO, and DM in the general population. Objective: The present study aims to explore the relationship between dietary choline intakes and DM in the United States (US) adult population. Design: Cross-sectional data were derived from the National Health and Nutrition Examination Survey (NHANES) 2007-2010 of 8621 individuals aged 20 years or older. Multivariable logistic regression models were used to determine odds ratios (ORs) and 95% confidence intervals (CIs) for DM of each quartile category of energy-adjusted choline intakes. The restricted cubic spline model was used for the dose-response analysis. The receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value of choline intake for predicting DM. Results: A linear dose-response relationship between dietary choline intakes and the odds of DM was found after adjustment for multiple potential confounding factors, p for linear =0.0002. With the lowest quartile category of choline as the reference, the multivariable-adjusted ORs and 95% CIs of the second, third, and highest quartile categories were 1.22 (0.98, 1.52), 1.26 (1.01, 1.56), and 1.42 (1.15, 1.77), respectively, p for trend =0.0024. Per 100 mg/d increase in energy-adjusted choline resulted in 15% (95% CI: 7%, 22%) higher odds of DM. The ROC analysis identified an energy-adjusted choline of 331.7 mg/d as the optimal cut-off value for predicting DM, with 52.5% sensitivity and 60.7% specificity. Conclusion: This study supports a positive and linear relationship between dietary choline intake and DM in the US adult population. Further studies are warranted to replicate our findings in other populations and elucidate the potential mechanisms.

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