scholarly journals The Prevalence of Insulin Resistance and the Associated Risk Factors in a Sample of 14–18-Year-Old Slovak Adolescents

2020 ◽  
Author(s):  
Jana Jurkovicova ◽  
Katarina Hirosova ◽  
Diana Vondrova ◽  
Martin Samohyl ◽  
Zuzana Stefanikova ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Venous Blood ◽  
Significant Risk ◽  
Lifestyle Changes ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

The prevalence of cardiometabolic risk factors has increased in Slovakian adolescents as a result of serious lifestyle changes. This cross-sectional study aimed to assess the prevalence of insulin resistance (IR) and the associations with cardiometabolic and selected lifestyle risk factors in a sample of Slovak adolescents. In total, 2,629 adolescents (45.8% males) aged between 14 and 18 years were examined in the study. Anthropometric parameters, blood pressure, and resting heart rate were measured, fasting venous blood samples were analysed, and HOMA-IR was calculated. The mean HOMA-IR was 2.45±1.91 without a significant intersexual difference. IR (cut-off point for HOMA-IR=3.16) was detected in 18.6% of adolescents (19.8% males, 17.6% females). IR was strongly associated with overweight/obesity (especially central) and with almost all monitored cardiometabolic factors, except for TC and systolic BP in females. The multivariate model selected variables such as low level of physical fitness, insufficient physical activity, breakfast skipping, a small number of daily meals, frequent consumption of sweetened beverages, and low educational level of fathers as the significant risk factors of IR in adolescents. Recognizing the main lifestyle risk factors and early IR identification is important in terms of the performance of preventive strategies. Weight reduction, regular physical activity, and healthy eating habits can improve insulin sensitivity and decrease the incidence of metabolic syndrome, type 2 diabetes, and CVD in adulthood.

scholarly journals The Prevalence of Insulin Resistance and the Associated Risk Factors in a Sample of 14–18-Year-Old Slovak Adolescents

2021 ◽  
Vol 18 (3) ◽  
pp. 909
Author(s):  
Jana Jurkovičová ◽  
Katarína Hirošová ◽  
Diana Vondrová ◽  
Martin Samohýl ◽  
Zuzana Štefániková ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Venous Blood ◽  
Significant Risk ◽  
Lifestyle Changes ◽  
Skewed Distribution ◽  
Model Assessment ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

The prevalence of cardiometabolic risk factors has increased in Slovakian adolescents as a result of serious lifestyle changes. This cross-sectional study aimed to assess the prevalence of insulin resistance (IR) and the associations with cardiometabolic and selected lifestyle risk factors in a sample of Slovak adolescents. In total, 2629 adolescents (45.8% males) aged between 14 and 18 years were examined in the study. Anthropometric parameters, blood pressure (BP), and resting heart rate were measured; fasting venous blood samples were analyzed; and homeostasis model assessment (HOMA)-insulin resistance (IR) was calculated. For statistical data processing, the methods of descriptive and analytical statistics for normal and skewed distribution of variables were used. The mean HOMA-IR was 2.45 ± 1.91, without a significant sex differences. IR (cut-off point for HOMA-IR = 3.16) was detected in 18.6% of adolescents (19.8% males, 17.6% females). IR was strongly associated with overweight/obesity (especially central) and with almost all monitored cardiometabolic factors, except for total cholesterol (TC) and systolic BP in females. The multivariate model selected variables such as low level of physical fitness, insufficient physical activity, breakfast skipping, a small number of daily meals, frequent consumption of sweetened beverages, and low educational level of fathers as significant risk factors of IR in adolescents. Recognizing the main lifestyle risk factors and early IR identification is important in terms of the performance of preventive strategies. Weight reduction, regular physical activity, and healthy eating habits can improve insulin sensitivity and decrease the incidence of metabolic syndrome, type 2 diabetes, and cardiovascular disease (CVD).

scholarly journals Proteomic Signatures of Lifestyle Risk Factors for Cardiovascular Disease: A Cross‐Sectional Analysis of the Plasma Proteome in the Framingham Heart Study

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Laura Corlin ◽  
Chunyu Liu ◽  
Honghuang Lin ◽  
Dominick Leone ◽  
Qiong Yang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Alcohol Consumption ◽  
Validation Sample ◽  
Cross Sectional ◽  
Lifestyle Risk Factors ◽  
Discovery Sample ◽  
Heart Study ◽  
Lifestyle Risk

Background Proteomic biomarkers related to cardiovascular disease risk factors may offer insights into the pathogenesis of cardiovascular disease. We investigated whether modifiable lifestyle risk factors for cardiovascular disease are associated with distinctive proteomic signatures. Methods and Results We analyzed 1305 circulating plasma proteomic biomarkers (assayed using the SomaLogic platform) in 897 FHS (Framingham Heart Study) Generation 3 participants (mean age 46±8 years; 56% women; discovery sample) and 1121 FOS (Framingham Offspring Study) participants (mean age 52 years; 54% women; validation sample). Participants were free of hypertension, diabetes mellitus, and clinical cardiovascular disease. We used linear mixed effects models (adjusting for age, sex, body mass index, and family structure) to relate levels of each inverse‐log transformed protein to 3 lifestyle factors (ie, smoking, alcohol consumption, and physical activity). A Bonferroni‐adjusted P value indicated statistical significance (based on number of proteins and traits tested, P <4.2×10 −6 in the discovery sample; P <6.85×10 −4 in the validation sample). We observed statistically significant associations of 60 proteins with smoking (37/40 top proteins validated in FOS), 30 proteins with alcohol consumption (23/30 proteins validated), and 5 proteins with physical activity (2/3 proteins associated with the physical activity index validated). We assessed the associations of protein concentrations with previously identified genetic variants (protein quantitative trait loci) linked to lifestyle‐related disease traits in the genome‐wide‐association study catalogue. The protein quantitative trait loci were associated with coronary artery disease, inflammation, and age‐related mortality. Conclusions Our cross‐sectional study from a community‐based sample elucidated distinctive sets of proteins associated with 3 key lifestyle factors.

scholarly journals High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jonatan Fridolfsson ◽  
Christoph Buck ◽  
Monica Hunsberger ◽  
Joanna Baran ◽  
Fabio Lauria ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Mass Index ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Density Lipoprotein ◽  
Cross Sectional ◽  
Intensity Physical Activity

Abstract Background Physical activity (PA) during childhood is important for preventing future metabolic syndrome (MetS). To examine the relationship between PA and MetS in more detail, accurate measures of PA are needed. Previous studies have only utilized a small part of the information available from accelerometer measured PA. This study investigated the association between measured PA and MetS in children with a new method for data processing and analyses that enable more detailed interpretation of PA intensity level. Methods The association between PA pattern and risk factors related to MetS was investigated in a cross- sectional sample of children (n = 2592, mean age 10.9 years, 49.4% male) participating in the European multicenter I. Family study. The risk factors examined include body mass index, blood pressure, high-density lipoprotein cholesterol, insulin resistance and a combined risk factor score (MetS score). PA was measured by triaxial accelerometers and raw data was processed using the 10 Hz frequency extended method (FEM). The PA output was divided into an intensity spectrum and the association with MetS risk factors was analyzed by partial least squares regression. Results PA patterns differed between the European countries investigated, with Swedish children being most active and Italian children least active. Moderate intensity physical activity was associated with lower insulin resistance (R2 = 2.8%), while vigorous intensity physical activity was associated with lower body mass index (R2 = 3.6%), MetS score (R2 = 3.1%) and higher high-density lipoprotein cholesterol (R2 = 2.3%). PA of all intensities was associated with lower systolic- and diastolic blood pressure, although the associations were weaker than for the other risk factors (R2 = 1.5% and R2 = 1.4%). However, the multivariate analysis implies that the entire PA pattern must be considered. The main difference in PA was observed between normal weight and overweight children. Conclusions The present study suggests a greater importance of more PA corresponding to an intensity of at least brisk walking with inclusion of high-intense exercise, rather than a limited time spent sedentary, in the association to metabolic health in children. The methods of data processing and statistical analysis enabled accurate analysis and interpretation of the health benefits of high intensity PA that have not been shown previously.

scholarly journals Urban index and lifestyle risk factors for cardiovascular diseases in China: A cross-sectional study

2021 ◽  
Vol 104 (1) ◽  
pp. 003685042110037
Author(s):  
Zhichong Chen ◽  
Menghui Liu ◽  
Shaozhao Zhang ◽  
Zhenyu Xiong ◽  
Xiangbin Zhong ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Fruits And Vegetables ◽  
Cross Sectional Study ◽  
Nutrition Survey ◽  
Cross Sectional ◽  
Rapid Urbanization ◽  
Lifestyle Risk Factors

China is at a stage of rapid urbanization over the past decades, and the association of urbanization with cardiovascular disease has been confirmed by previous studies. However, few studies assessed the association of urbanization with cardiovascular risk factors, especially in Chinese population. We conducted a cross-sectional, populational-based study, using data from China Health and Nutrition Survey (CHNS) in 2009. The logistic regression was used to assess the association of urbanization measured by urban index with cardiovascular risk factors (diabetes mellitus, hypertension, dyslipidemia, obesity, smoking, physical activity and fruits and vegetables consumption), varied with sex. The current study included 18,887 participants enrolled (mean age 39.8 ± 19.8 years; 52.2% female) who live in China. In regression model, the urban index was significantly associated with the variations of cardiovascular risk factors for male, including diabetes (OR 1.34, 95% CI: 1.22–1.48), hypercholesterolemia (OR 1.15, 95% CI: 1.09–1.22), never smoking (OR 0.92, 95% CI: 0.89–0.96), higher fruits and vegetables consumptions (OR 0.93, 95% CI: 0.87–0.99), higher body mass index (BMI) (OR 1.16, 95% CI: 1.10–1.22), and higher physical activity (OR 0.69, 95% CI: 0.66–0.73). Compared with the male, the associations of urban index with cardiovascular risk factors for female were similar, but not for BMI (OR 1.00, 95% CI: 0.96–1.05). The present finding emphasizes the changes of cardiovascular risk factors associated with urbanization in China, and indicated that close attention should be paid to the risk of hypercholesterolemia, diabetes and men’s obesity in the process of urbanization.

scholarly journals EFFECT OF PHYSICAL ACTIVITY ON CARDIOMETABOLIC MARKERS IN ADOLESCENTS: SYSTEMATIC REVIEW

2016 ◽  
Vol 22 (3) ◽  
pp. 235-242 ◽  
Author(s):  
Valter Paulo Neves Miranda ◽  
Paulo Roberto dos Santos Amorim ◽  
Nathália Cristina Borges Oliveira ◽  
Maria do Carmo Gouveia Peluzio ◽  
Silvia Eloiza Priore
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Systematic Review ◽  
Lifestyle Changes ◽  
Cross Sectional ◽  
Precise Control ◽  
Cardiometabolic Diseases ◽  
Systemic Inflammatory Disease ◽  
Cardiometabolic Markers ◽  
Intensity Of Exercise

ABSTRACT The accumulation of body fat is a major risk factor for cardiometabolic diseases. Obesity can be considered a chronic systemic inflammatory disease in adults and younger people. The control of subclinical inflammation process through the practice of physical activity (PA) can mitigate the effects of risk factors that trigger atherosclerosis that worsens with advancing age. The objective of this study was to conduct a systematic review of the influence of physical activity and/or exercise on cardiometabolic markers and othrer risk factors of cardiovascular disease in adolescents. A systematic review was conducted in electronic databases Scopus, Pubmed, Conchrane Collection and SciELO. The terms used in the search were "cardiovascular diseases AND inflammation AND adolescents AND physical activity OR exercise". A total of 24 original articles were evaluated, being 14 longitudinal and 10 cross-sectional studies. Overall, 16 articles (66.66%) showed that PA, exercise and/or sedentary behavior may have influenced or have been related to the concentration of cardiometabolic markers. All studies that examined lifestyle changes showed reduction of cardiometabolic markers. Some limitations were observed: reduced samples, lack of dietary prescription, evaluation and control of volume and intensity of exercise. Most of the studies analyzed showed that the physical activity could influence and decrease the concentrations of cardiometabolic markers in adolescents. However, studies with representative sample size and precise control in assessing the level of physical activity and/or exercise are required to determine accurately the changes that the more active lifestyle can bring on inflammatory process, as well as other risk factors for cardiometabolic diseases in adolescents.

Assessment of non-communicable disease related lifestyle risk factors among adult population in Bangladesh

2021 ◽  
pp. 1-21
Author(s):  
Md. Belal Hossain ◽  
Mahmood Parvez ◽  
Mir Raihanul Islam ◽  
Hala Evans ◽  
Sabuj Kanti Mistry
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Smokeless Tobacco ◽  
Urban Areas ◽  
Salt Intake ◽  
Vegetable Consumption ◽  
Adult Population ◽  
Tobacco Consumption ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

Abstract Non-communicable diseases (NCDs), which can largely be prevented by controlling avoidable lifestyle-related risk factors, are rapidly penetrating the entire world, including developing countries. The present study aimed to assess NCD lifestyle risk factors among the adult population in Bangladesh. The data used in the study were collected as part of a population-based cross-sectional survey covering rural and urban areas of Bangladesh conducted in 2015–16 (N=11,982 adults aged ≥35 years). The lifestyle factors considered were diet (daily fruit and vegetable consumption and extra salt intake with meals), sleeping patterns, smoking, smokeless tobacco consumption, and physical activity. The study found that approximately 18.5% of participants had a non-daily consumption of fruit or vegetables, 46.6% used extra salt with their meals, 11.8% reported sleeping <7 hours daily, 25.7% smoked tobacco, 60.9% used smokeless tobacco and 69.7% were less physically active. The prevalence of improper lifestyle practices relevant to NCDs, such as an inadequate diet, poor sleeping pattern, tobacco consumption, and low physical activity, was significantly higher among older adults, women, the uneducated, the unemployed, urban dwellers, and people from rich households. The study found that NCD-related lifestyle characteristics were poorly compliant with standard guidelines among many adult populations in Bangladesh. The findings can inform preventative strategies to control the overwhelming NCD burden in Bangladesh, such as the promotion of physical exercise, healthy eating, and the cessation of the use of tobacco products.

scholarly journals Patterns of multiple lifestyle risk factors and their link to mental health in the German adult population: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e022184 ◽  
Author(s):  
Josefine Atzendorf ◽  
Christian Apfelbacher ◽  
Elena Gomes de Matos ◽  
Ludwig Kraus ◽  
Daniela Piontek
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Adult Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Lifestyle Risk Factors ◽  
Unhealthy Diet ◽  
Lifestyle Risk ◽  
German Adult

ObjectivesLifestyle risk factors, such as drinking or unhealthy diet, can expotentiate detrimental health effects. Therefore, it is important to investigate multiple lifestyle risk factors instead of single ones. The study aims at: (1) identifying patterns of lifestyle risk factors within the adult general population in Germany and (2) examining associations between the extracted patterns and external factors.DesignCross-sectional study.SettingGeneral German adult population (aged 18–64 years).ParticipantsParticipants of the 2015 Epidemiological Survey of Substance Abuse (n=9204).Primary outcome measuresLifestyle risk factors (daily smoking, at-risk alcohol consumption, unhealthy diet, low physical activity, weekly use of pharmaceuticals, as well as consumption of cannabis and other illicit drugs).ResultsA latent class analysis was applied to identify patterns of lifestyle risk factors, and a multinomial logistic regression was carried out to examine associations between the extracted classes and external factors. A total of four classes were extracted which can be described as healthy lifestyle (58.5%), drinking lifestyle (24.4%), smoking lifestyle (15.4%) and a cumulate risk factors lifestyle (1.7%). Individuals who were male, at younger age and single as well as individuals with various mental health problems were more likely to show multiple lifestyle risk factors.ConclusionsHealthcare professionals should be aware of correlations between different lifestyle risk factors as well as between lifestyle risk groups and mental health. Health promotion strategies should further focus especially on younger and single men.

scholarly journals Characteristics of Patients in Treatment for Alcohol and Drug Addiction Who Succeed in Changing Smoking, Weight, and Physical Activity: A Secondary Analysis of an RCT on Combined Lifestyle Interventions

2020 ◽  
pp. 1-8
Author(s):  
Mette Rasmussen ◽  
Karen Hovhannisyan ◽  
Johanna Adami ◽  
Hanne Tønnesen
Keyword(s):  
Risk Factors ◽  
Drug Addiction ◽  
Addiction Treatment ◽  
Secondary Analysis ◽  
Lifestyle Changes ◽  
Successful Outcome ◽  
Lifestyle Interventions ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

<b><i>Introduction:</i></b> Patients addicted to alcohol or drug often have additional unhealthy lifestyles, adding to the high mortality and morbidity in this patient group. Therefore, it is important to consider lifestyle interventions as part of the usual addiction treatment. <b><i>Objective:</i></b> The aim was to identify predictors of successful changes in lifestyle risk factors among patients in treatment for alcohol or drug addiction. <b><i>Methods:</i></b> We conducted a secondary analysis of a trial using a 6-week intensive integrated lifestyle intervention: The very integrated program (VIP). Patients were recruited in Addiction Centres Malmö and Psychiatry Skåne, Sweden. The primary outcome was successful changes in lifestyle, measured as quitting tobacco, exercising 30 min per day, and not being over- or underweight after 6 weeks and 12 months. <b><i>Results:</i></b> A total of 212 patients were included in the RCT, and 128 were included in this secondary analysis: 108 at 6 weeks and 89 at 12 months of follow-up. A total of 69 patients were respondents at both follow-ups. The follow-up rates were 51 and 42%, respectively. More education, having at least 2 lifestyle risk factors and having a high quality of life were predictors of a successful change in lifestyle after 6 weeks. After 12 months, the predictors for a successful outcome were having 3 or more risk factors, while an education level up to 3 years was a negative predictor. <b><i>Conclusions:</i></b> Having several unhealthy lifestyles in addition to alcohol and drug addiction was a significant predictor of successful lifestyle changes in the short- and long term after the VIP for lifestyle interventions. Likewise, education was significant. The results should be considered in future development and research among this vulnerable group of patients.

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