scholarly journals SALIVARY CORTISOL AND METABOLIC SYNDROME COMPONENT’S ASSOCIATION

Author(s):  
Grasiane Izidorio GARBELLOTTO ◽  
Fernanda Jardim REIS ◽  
Ana Maria Pandolfo FEOLI ◽  
Carla Haas PIOVESAN ◽  
Andréia da Silva GUSTAVO ◽  
...  

ABSTRACT Background: Actually the lifestyle exposes the population to several risk factors related to alimentary habits and less physical activity that contributes to chronic diseases appearance worldwide. Aim: To analyze the association between salivary cortisol and the components of metabolic syndrome. Methods: This is a cross-sectional study. As part of it, 28 individuals aged 30-59 years presenting three or more of the following findings: CA: ≥88 cm for women and ≥102 cm for men; SBP>130 mmHg and DBP>85 mmHg; GL>100 mg/dl; TG>150 mg/dl; HDL<40 mg/dl for men and <50 mg/dl for women. Was performed analysis of salivary cortisol (by radioimmunoassay) from 25 salivary samples collected throughout the day, for evaluating changes in the circadian rhythm of this hormone (8AM, noon and 8PM). Results: 28 evaluated individuals had a mean age of 51.9±7.5 years, mostly women (64.3%) and a mean of BMI 33.6±3.2 kg/m². The cortisol level from the 8AM averaged 18.7±4.8 ng/dlL. Individuals with FPG>110mg/dl, have significantly lower average levels of cortisol than ones with FPG <110 (12.8±5,2 vs. 17.3±4.2). Significant correlations were HOMA vs. WC (r=0,465; p˂0,005) and TG (r=0,473; p˂0,005), WC vs. FG (r=0,446; p˂0,005) and BMI (r=0,730; p˂0.0001); TG vs. HDL (r=0,441 p˂0,005) and FG (r=0,440; p˂0,005). Conclusion: Morning salivary cortisol in subjects with chronically elevated blood glucose can represent a downregulation of the hypothalamic-pituitary adrenal axis. This is an important finding not yet well investigated.

2021 ◽  
Vol 9 ◽  
pp. 205031212110245
Author(s):  
Getu Mosisa ◽  
Bikila Regassa ◽  
Bayise Biru

Introduction: Hypertension remains an emerging public health problem globally, particularly in developing countries. Age, income level, obesity, alcohol consumption, smoking, vegetables and fruit consumption, physical activity and chat chewing were some risk factors of hypertension. However, there are limited data on the epidemiology of hypertension in Ethiopia. This study aimed to assess Epidemiology of Hypertension among the community of selected towns of Wollega zones. Methods: A community-based cross-sectional study was conducted from 1 to 30 June 2019 in selected towns of Wollega zones. A multistage sampling technique was used to select 840 study participants. Data were collected using the WHO STEP wise approach. The data were coded and entered into EpiData 3, and exported to SPSS version 20.0 for analysis. Bivariate and multivariable logistic regression analyses were conducted. Statistical significance was declared at p-value < 0.05. Results: The study included a total of 838 respondents with a response rate of 99.7%. The prevalence of hypertension was found to be 189 (22.6%) (95% confidence interval = 19.9%–25.2%). Of this, 108 (12.9%) and 81 (9.7%) of female and male were hypertensive, respectively. Age groups of 30–44 years (adjusted odds ratio = 2.65 (1.43, 4.89)), 45–59 years (adjusted odds ratio = 3.55 (1.79, 7.04)), above 60 years (adjusted odds ratio = 2.97 (1.43, 6.18)), having history of alcohol consumption (adjusted odds ratio = 4.29 (2.4, 7.66)), involving in vigorous physical activity (adjusted odds ratio = 0.096 (0.028, 0.33)), not walking to and from the work (adjusted odds ratio = 13.12 (8.34, 20.67)), being overweight (adjusted odds ratio = 1.98 (1.21, 3.25)), inadequate fruits serving per day (adjusted odds ratio = 2.93 (1.75, 4.88)) were significantly associated with hypertension. Conclusion: The prevalence of hypertension was found to be high in the study area. Older age, alcohol consumption, not engaging in vigorous activity, physical inactivity, being overweight and inadequate intake of fruits were found to be risk factors for hypertension. Therefore, health care providers should provide extensive health education and promotion on recommended lifestyle modification to tackle the burden of hypertension.


Author(s):  
Meriam El Ghardallou ◽  
Jihene Maatoug ◽  
Imed Harrabi ◽  
Sihem Ben Fredj ◽  
Sahli Jihene ◽  
...  

Abstract Introduction: A better understanding of socio-demographic characteristics of subgroups, which have a high risk to develop chronic diseases, is essential to develop more efficient interventional programs especially for youth. This study aimed to determine the association between clusters of non communicable diseases (NCDs’) risk factors and the socio-demographic characteristics among a sample of Tunisian school children. Materials and methods: We conducted, in 2013/2014, a cross-sectional study among a proportional and stratified school children sample, selected in 17 elementary public schools in Sousse (Tunisia). A cluster analysis was used to identify different NCDs risk factors clusters, based on tobacco use, physical inactivity, unhealthy diet, and excess weight. Subsequent χ2-tests were used to identify differences between the NCDs risk factors clusters in regards to socio-demographic characteristics. Results: Four clusters of NCDs risk factors were found: 1) Cluster 1: physical inactivity behavior with normal weight, 2) Cluster 2: physical inactivity behavior associated to excess weight, 3) Cluster 3: unhealthy diet associated to excess weight and low practice of physical activity, and 4) Cluster 4: smoking behavior with physical activity behavior. The pattern of cluster membership differed across sex (<10–3), school level, and socioeconomic level (<10–3) but there was no significant difference between clusters for mother’s education levels and household tenure. Conclusion: This study can have important implications for health policy and practice. Indeed, it found that many subjects have simultaneous multiple NCDs risk factors which leads to identify groups at risk and implement integrated intervention program.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Nicole Karazurna ◽  
Caitlin Porter ◽  
Jesse Stabile Morrell ◽  
Sherman Bigornia

Abstract Objectives Evidence suggests that omega-3 fatty acid (n-3 FA) and fish consumption may reduce the risk of the metabolic syndrome (MetS) in older adults. We previously reported that MetS components are prevalent among college students. Identifying modifiable risk factors of developing MetS and its components in young adults will inform potential targets to reduce the risk of age-related health conditions. Our objectives were to measure the cross-sectional impacts of n-3 FA and fish consumption on ≥2 or ≥3 MetS criteria and individual criteria among college students. Methods The College Health and Nutrition Assessment Survey is an on-going cross-sectional study at a public New England college. We examined data from Jan 2008 – May 2017. After excluding those with missing data our final sample size was n = 4271 for n-3 FA & n = 2072 for fish intake analyses. Diet was assessed by a 3 day food record; MetS criteria were collected in fasted state. We expressed n-3 FAs as g/1000 kcals/d. Servings of fish/week was obtained via an online survey. Individuals were categorized as consuming ≥ 2 servings/week or not. MetS was defined as meeting ≥ 3 criteria: elevated glucose, triglycerides, blood pressure, waist circumference, and low HDL. Analyses were conducted by logistic regression. Results The average n-3 FA intake was 0.4 g/1000 kcal/d ± 0.25 & 40% consumed ≥ 2 servings of fish/week. Prevalence estimates for meeting ≥ 2 criteria was 18.8% and 4.8% for MetS. In sex- and energy- adjusted models, n-3 FA consumption was inversely associated with MetS (OR = 0.38; 95%CI: 0.20, 0.71) and ≥2 MetS criteria (OR = 0.67; 95%CI: 0.49, 0.91). Associations were no longer significant after considering additional confounders. Fish consumption was not significantly associated with MetS or ≥2 criteria in any model. Further n-3 FAs and fish consumption was not associated with any individual MetS criteria. Conclusions In this cross-sectional study among college students, n-3 FA and fish consumption were not significantly associated with MetS outcomes. Further research is needed in this population using longitudinal study designs to understand long-term impact of n-3 consumption on the development of MetS and associated cardio metabolic risk factors in young adults. Funding Sources New Hampshire Agriculture Experiment Station and USDA National Institute of Food and Agriculture Hatch Project 1010738.


Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1041 ◽  
Author(s):  
Pilar Pérez-Ros ◽  
Rafael Vila-Candel ◽  
Lourdes López-Hernández ◽  
Francisco Miguel Martínez-Arnau

Objective: This study aims to assess the relationship that frailty has with nutritional status and functional risk factors in community-dwelling older adults. Methods: Cross-sectional study in community-dwelling older people, independent for walking and without impaired cognition. Frailty was assessed by Fried criteria. Nutritional status was analyzed by the Mini Nutritional Assessment Short Form (MNA-SF), biochemical markers (albumin, total proteins, cholesterol, lymphocytes, and hemoglobin); and anthropometric parameters (body mass index [BMI], body fat percentage, handgrip, and perimeters). A comprehensive geriatric assessment analyzed other risk factors: functionality, cognition, falls, comorbidity, polypharmacy, physical activity, and quality of life (QoL). Results: We included 564 elderly people with a mean age of 76.05 (standard deviation 3.97) years; 63.1% (n = 356) were women, and 83.9% (n = 473) were prefrail, and frail. The sample presented high functionality and a nutritional status with a predominance of overweight and obesity. Factors associated with frailty (R2 = 0.43) were age over 75 years (odds ratio [OR] 3.31, 95% confidence interval [CI] 1.76, 6.21; p < 0.001), female gender (OR 2.37, 95% CI 1.24, 4.52; p = 0.009), anemia (OR 2.45, 95% CI 1.19, 5.02; p = 0.015), falls (OR 1.94, 95% CI 1.12, 3.25; p = 0.016) and the fear of falling (OR 4.01: 95% CI 1.76, 9.16; p = 0.001). Performing more than 3 weekly hours of physical activity was found to be a protective factor (OR 0.23, 95% CI 0.15, 0.35; p < 0.001). Conclusions: The relationship between frailty and malnutrition in functionally independent community-dwelling older people is unclear. More studies are needed to know what nutritional markers are related to frailty, cognition, and functionality in order to discriminate the risk factors for community-dwelling older people at risk of malnutrition and dependency.


Author(s):  
Marcel Ballin ◽  
Peter Nordström ◽  
Anna Nordström

In this cross-sectional study, the authors investigated the associations of objectively measured physical activity (PA) with the prevalence of metabolic syndrome (MetS) in older adults. Accelerometer-derived light-intensity PA, moderate to vigorous PA, and steps per day were measured in (N = 4,652) 70-year-olds in Umeå, Sweden, during May 2012–November 2019. The MetS was assessed according to the American Heart Association/ National Heart, Lung and Blood Institute criteria. The prevalence of MetS was 49.3%. Compared with the reference, the odds ratios for MetS in increasing quartiles of light-intensity PA were 0.91 (0.77–1.09), 0.75 (0.62–0.89), and 0.66 (0.54–0.80). For moderate to vigorous PA, the corresponding odds ratios were 0.79 (0.66–0.94), 0.67 (0.56–0.80), and 0.56 (0.46–0.67). For steps per day, the odds ratios were 0.65 (0.55–0.78), 0.55 (0.46–0.65), and 0.45 (0.36–0.55). In summary, this study shows that greater amounts of PA, regardless of intensity, are associated with lower odds of MetS. With the limitation of being an observational study, these findings may have implications for the prevention of MetS in older adults.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Huiwu Han ◽  
Fan Zheng ◽  
Weiwei Dai ◽  
Hua Peng ◽  
Shi Zhou ◽  
...  

Objectives. Metabolic syndrome (MetS) is now becoming a serious public health threat. Some behaviors risk factors were considered to be associated with MetS and interacted to adversely affect MetS. However, the clustering effects of behavior risk factors of MetS among Chinese population remain unclear. The aim of this study is to observe the behavior risk factors and their clustering effects of MetS in China. Methods. A cross-sectional study design was used. Subjects were recruited in the departments of Cardiology Clinic, Endocrine Clinic, and Health Management from March to December 2019. A demographic sheet was designed to collect the demographic and clinical characteristics of the subjects. International Physical Activity Questionnaire-Short was applied to evaluate the level of PA in this study. Other behavior risk factors were observed by the questionnaire. The stepwise logistic regression analysis was performed to identify the determinants of MetS. The multiple logistic regression analysis was used to analyze the clustering effects of behavior risk factors in MetS. Results. There are a total of 532 eligible subjects (56.6% females; mean age was 48.4±15.3 years), and approximately 33.3% were diagnosed as MetS. The subjects with a smoking habit (heavy and long-time history) had a 1.833-fold higher risk for MetS than their counterparts (none and light smoking), and the subjects that preferred salty taste had a 1.626-fold higher risk for MetS than the comparison cohort. Smoking and alcohol drinking had the highest clustering effect on MetS among the behavior risk factors. Conclusions. The main finding of this study was that smoking and salty taste preference were the independent determinants of MetS. Smoking and alcohol consumption had the highest clustering effect on southern Chinese MetS.


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