Dataset Information

Association between Walking Pace and Diabetes: Findings from the Chilean National Health Survey 2016-2017.

ABSTRACT: BACKGROUND:Walking pace is a well-known indicator of physical capability, but it is also a strong predictor of type 2 diabetes (T2D). However, there is a lack of evidence on the association between walking pace and T2D, specifically, within developing countries such as Chile. AIM:To investigate the association between self-reported walking pace and T2D in the Chilean adult population. METHODS:5520 Chilean participants (aged 15 to 90 years, 52.1% women) from the Chilean National Health Survey 2016-2017 were included in this cross-sectional study. Both walking pace (slow, average, and brisk) and diabetes data were collected through self-reported methods. Fasting blood glucose (reported in mg/dl) and glycosylated haemoglobin A (HbA1c) scores were determined via blood exams. RESULTS:In the unadjusted model, and compared to people who reported a slow walking pace, those with average and brisk walking pace had lower blood glucose levels (? = -7.74 mg/dL (95% CI: -11.08 to -4.40) and ? = -11.05 mg/dL (95% CI: -14.36 to -7.75), respectively) and lower HbA1c (? = -0.34% (95% CI: -0.57 to -0.11) and ?= -0.72% (95% CI: -0.94 to -0.49)), respectively. After adjusting for sociodemographic, Body Mass Index and lifestyle factors, the association between glycaemia and HbA1c remained only for brisk walkers. Both the average and brisk walker categories had lower odds of T2D (OR: 0.59 (95% CI: 0.41 to 0.84) and (OR 0.48 (95% CI: 0.30 to 0.79), respectively). CONCLUSION:Brisk walkers were associated with lower blood glucose and HbA1c levels. Moreover, average to brisk walking pace also showed a lower risk for T2D.

SUBMITTER: Cigarroa I

PROVIDER: S-EPMC7432405 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Association between Walking Pace and Diabetes: Findings from the Chilean National Health Survey 2016-2017.

Cigarroa Igor I Espinoza-Sanhueza María José MJ Lasserre-Laso Nicole N Diaz-Martinez Ximena X Garrido-Mendez Alex A Matus-Castillo Carlos C Martinez-Sanguinetti María Adela MA Leiva Ana Maria AM Petermann-Rocha Fanny F Parra-Soto Solange S Concha-Cisternas Yeny Y Troncoso-Pantoja Claudia C Martorell Miquel M Ulloa Natalia N Waddell Heather H Celis-Morales Carlos C

International journal of environmental research and public health 20200724 15

<h4>Background</h4>Walking pace is a well-known indicator of physical capability, but it is also a strong predictor of type 2 diabetes (T2D). However, there is a lack of evidence on the association between walking pace and T2D, specifically, within developing countries such as Chile.<h4>Aim</h4>To investigate the association between self-reported walking pace and T2D in the Chilean adult population.<h4>Methods</h4>5520 Chilean participants (aged 15 to 90 years, 52.1% women) from the Chilean Nati ...[more]

PMID: 32722215

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Project description:OBJECTIVES:This study estimates the prevalence of chronic kidney disease (CKD) among Chilean adults and examines its associations with sociodemographic characteristics, health behaviours and comorbidities. DESIGN:Analysis of cross-sectional data from the two most recent large nationally representative Chilean Health Surveys (Encuesta Nacional de Salud, ENS) 2009-2010 and 2016-2017. PARTICIPANTS:Adults aged 18+ years with serum creatine data (ENS 2009-2010: n=4583; ENS 2016-2017: n=5084). PRIMARY AND SECONDARY OUTCOME MEASURES:Reduced kidney function (CKD stages 3a-5) based on the estimated glomerular filtration rate (eGFR <60?mL/min/1.73 m2) was the primary outcome measure. Using the urine albumin-to-creatinine ratio (ACR ?30?mg/g), increased albuminuria was ascertained among adults aged 40+ years with diabetes and/or hypertension. Both outcomes were analysed using logistic regression with results summarised using OR. CKD prevalence (stages 1-5) among adults aged 40+ years was estimated including participants with an eGFR of >60?mL/min/1.73 m2 but with increased albuminuria (stages 1-2). RESULTS:Overall, 3.2% (95% CI: 2.4% to 3.8%) of adults aged 18+ in?ENS 2016-2017 had reduced kidney function. After full adjustment, participants with hypertension (OR: 2.37; 95%?CI: 1.19 to 4.74) and those with diabetes (OR: 1.66; 95% CI: 1.03 to 2.66) had significantly higher odds of reduced kidney function. In ENS 2016-2017, 15.5% (13.5% to 17.8%) of adults aged 40+ years with diabetes and/or hypertension had increased albuminuria. Being obese versus normal-weight (OR: 1.66; 95% CI: 1.08 to 2.54) and having both diabetes and hypertension versus having diabetes alone (OR: 2.30; 95% CI: 1.34 to 3.95) were significantly associated with higher odds of increased albuminuria in fully-adjusted analyses. At least 15.4% of adults aged 40+ years in ENS 2016-2017 had CKD (stages 1-5), including the 9.6% of adults at CKD stages 1-2. CONCLUSIONS:Prevention strategies and Chilean guidelines should consider the high percentage of adults aged 40 years and older at CKD stages 1-2.

Project description:OBJECTIVES:Despite the growing pieces of evidence linking hyperuricemia with metabolic syndrome and cardiovascular disease, the relationship between dyslipidemia and serum uric acid has not yet been established. This study aimed to investigate the association between individual components of dyslipidemia and serum uric acid by using the nationally representative Korea National Health and Nutrition Examination Survey 2016-2017. METHODS:A total of 8,722 participants (age ? 19 years) without missing values were analyzed for this study. Serum uric acid levels according to the presence of individual dyslipidemia components were calculated using multivariable-adjusted general linear models (GLM). Odds ratios of individual dyslipidemia components to hyperuricemia were calculated using unadjusted and multivariable-adjusted logistic regression analysis. RESULTS:A total of 1,061 participants were identified as having hyperuricemia, with a prevalence of 12.2%. Multivariable-adjusted GLM demonstrated a significant trend between individual dyslipidemia components and serum uric acid levels (P < 0.05). A positive association between the numbers of dyslipidemia components and the increments of serum uric acid levels was also observed (P < 0.001). In multivariable-adjusted logistic regression analysis, odds ratios (OR) and 95% confidence interval (CI) of all dyslipidemia components to hyperuricemia were shown to be statistically significant (P < 0.05). When further adjusted for the combined components themselves, each 10 mg/dL increments of total cholesterol (OR 1.053; 95% CI 1.028-1.079), triglycerides (OR 1.017; 95% CI 1.009-1.026) and HDL-C (OR 0.804; 95% CI 0.729-0.887), retained significant correlation with hyperuricemia. CONCLUSION:Our study demonstrated that the dyslipidemia components of serum total cholesterol, triglycerides and LDL-C levels are positively associated with serum uric acid levels, whereas serum HDL-C levels are inversely related. Further complementary studies regarding other lipid parameters are needed to confirm the accurate association between dyslipidemia and serum uric acid levels.

Project description:ImportanceThe number of states legalizing marijuana for medical and recreational use is increasing. Little is known regarding how or why adults with medical conditions use it.ObjectivesTo report the prevalence and patterns of marijuana use among adults with and without medical conditions, overall and by sociodemographic group, and to further examine the associations between current marijuana use and the types and number of medical conditions.Design, setting, and participantsThis survey study used a probability sample of US adults aged 18 years and older from the 2016 and 2017 Behavioral Risk Factor Surveillance System, a telephone-administered survey that collects data from a representative sample of US adult residents across the states regarding health-related risk behaviors, chronic health conditions, and use of preventive services.Main outcomes and measuresCurrent (past month) and daily (?20 days in the last 30 days) marijuana use.ResultsThe study sample included 169?036 participants (95?780 female [weighted percentage, 52.0%]). Adults with medical conditions had higher odds of reporting current marijuana use than those without medical conditions (age 18-34 years: adjusted odds ratio,?1.8 [95% CI, 1.5-2.1]; age 35-54 years: adjusted odds ratio,?1.4 [95% CI, 1.2-1.7]; age ?55 years: adjusted odds ratio, 1.6 [95% CI, 1.3-2.0]), especially among those with asthma, chronic obstructive pulmonary disease, arthritis, cancer, and depression. Among those with medical conditions, the prevalence of marijuana use decreased with increasing age, ranging from 25.2% (95% CI, 22.0%-28.3%) for those aged 18 to 24 years to 2.4% (95% CI, 2.0%-2.8%) for those aged 65 years or older for current marijuana use and from 11.2% (95% CI, 8.7%-13.6%) to 0.9% (95% CI, 0.7%-1.2%), respectively, for daily marijuana use. Most adults who used marijuana (77.5%; 95% CI, 74.7%-80.3%), either with or without medical conditions, reported smoking as their primary method of administration. Adults with medical conditions were more likely than those without medical conditions to report using marijuana for medical reasons (45.5% [95% CI, 41.1%-49.8%] vs 21.8% [95% CI, 17.8%-25.7%]; difference, 23.7% [95% CI, 17.8%-29.6%]) and less likely to report using marijuana for recreational purposes (36.2% [95% CI, 32.1%-40.3%] vs 57.7% [95% CI, 52.6%-62.9%]; difference, -21.5% [95% CI, -28.1% to 14.9%]).Conclusions and relevanceThis study found that marijuana use was more common among adults with medical conditions than those without such conditions. Notably, 11.2% of young adults with medical conditions reported using marijuana on a daily basis. Clinicians should screen for marijuana use among patients, understand why and how patients are using marijuana, and work with patients to optimize outcomes and reduce marijuana-associated risks.

Dataset Information

Association between Walking Pace and Diabetes: Findings from the Chilean National Health Survey 2016-2017.

Publications

Association between Walking Pace and Diabetes: Findings from the Chilean National Health Survey 2016-2017.

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