Sex Differences in the Association Between Cannabis Use and Diabetes Mellitus among U.S. Adults: The National Health and Nutritional Examination Survey, 2013–2018

Author(s):  
Ayobami S. Ogunsola ◽  
Samuel Smith ◽  
Olatunji A. Eniola ◽  
Udeh C. Mercy ◽  
Ibraheem M. Karaye
2018 ◽  
Vol 36 (2) ◽  
pp. 140-146
Author(s):  
Kyoungjin Lee ◽  
Hyangkyu Lee ◽  
Jeongok Park ◽  
Sun Ha Jee

Abstract Objectives The purpose of this study was to examine sex differences in factors associated with metabolic syndrome in Korean adults without diabetes mellitus. Study design Cross-sectional design. Methods The dataset of Korea National Health and Nutrition Examination Survey from 2010 to 2013 was used. Among a total of 33552 adults aged ≥30, subjects who (i) were diagnosed or had been treated for diabetes mellitus, (ii) had a fasting blood glucose level of 126 mg/dL or higher or (iii) had a glycosylated haemoglobin level of 6.5% or higher were excluded. Subjects who had anaemia or were pregnant were also excluded. Finally, 9406 subjects were included in this study. Sex differences in subjects’ characteristics were assessed with Student’s t-test and chi-square test. Logistic regressions were used to examine factors associated with metabolic syndrome by sex. Results The prevalence of metabolic syndrome in Korean adults overall without diabetes mellitus was 12.2%. Glycosylated haemoglobin from 5.7 to 6.5 and increased body mass index were independently associated with metabolic syndrome in both men and women. Current smoking, age and age square were significantly associated with metabolic syndrome in men, whereas age and illiteracy were significantly associated with it in women. Conclusions This study confirmed that glycosylated haemoglobin and body mass index can be important indicators of metabolic syndrome in Korean adults without diabetes mellitus.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Seung Jae Kim ◽  
Oh. Deog Kwon ◽  
Kyung-Soo Kim

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.


2016 ◽  
Vol 31 (4) ◽  
pp. 274-277 ◽  
Author(s):  
Scott J. Dankel ◽  
Jeremy P. Loenneke ◽  
Paul D. Loprinzi

Purpose. Physical activity (PA) has previously been demonstrated to be inversely related with multimorbidity (having more than one chronic disease); however, it is unknown whether dual participation in both PA and muscle-strengthening activities (MSA) may further reduce the odds of being multimorbid. Therefore, the purpose of our study was to determine the association between multimorbidity and individuals meeting recommended guidelines for both PA and MSA. Design. Nonexperimental. Setting. The 2003–2006 National Health and Nutritional Examination Survey. Subjects. Four thousand five hundred eighty-seven adults aged ≥20 years. Measures. Accelerometry-measured PA, self-reported MSA, and multimorbidity. Analysis. Data were analyzed using multivariable linear and logistic regression. Results. The odds (95% confidence interval) of being multimorbid for those only meeting MSA guidelines, only meeting PA guidelines, and meeting both PA and MSA guidelines (vs. not meeting either), respectively, were .69 (.48, .98; p = .04), .55 (.44, .70; p < .01), and .38 (.27, .53; p < .01). Conclusion. Our findings demonstrate that individuals meeting recommended guidelines for both MSA and PA were less likely to be multimorbid than individuals participating in one or none of these exercise modalities. Determining effective ways to initiate and maintain concurrent adoption of MSA and PA is needed to provide a cost-effective behavioral alternative for reducing the prevalence of multimorbidity.


PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0155996 ◽  
Author(s):  
Thainá Alves Malhão ◽  
Alexandre dos Santos Brito ◽  
Rejane Sobrino Pinheiro ◽  
Cristiane da Silva Cabral ◽  
Thais Medina Coeli Rochel de Camargo ◽  
...  

1987 ◽  
Vol 10 (2) ◽  
pp. 197-211 ◽  
Author(s):  
Carma A. Heitzmann ◽  
Robert M. Kaplan ◽  
Dawn K. Wilson ◽  
Jeffery Sandler

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