Relationship of Physical Activity and Clustering of Biological Risk Factors: A One-Year Longitudinal Study

2005 ◽  
Vol 2 (4) ◽  
pp. 488-497
Author(s):  
Jorge Mota ◽  
José Carlos Ribeiro ◽  
Henrique Barros ◽  
Jos W.R. Twisk ◽  
José Oliveira ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Healthy Lifestyle ◽  
Cvd Risk ◽  
Biological Risk ◽  
Biological Risk Factor ◽  
One Year ◽  
Relationship Of ◽  
Longitudinal Relationships

Background:The purpose of the study was to investigate the longitudinal relationship between physical activity and clustering of some cardiovascular disease (CVD) risk factors after 1-y follow-up.Methods:The sample comprised 704 males and 770 females between the ages of 8 to 15 y. Clustering was defined as belonging to one or more sex and age-specific “high-risk” quartiles for biological risk factors. The longitudinal relationships were analyzed with multilevel analysis.Results:There was no longitudinal significant relationship between physical activity and individual biological risk factors. When biological risk factor clustering was considered, however, there was a significant longitudinal relationship with physical activity.Conclusion:It can be concluded that even at a young age, physical activity can play an important role in developing a healthy lifestyle profile.

Physical activity less than the recommended amount may prevent the onset of major biological risk factors for cardiovascular disease: a cohort study of 198 919 adults

2018 ◽  
Vol 54 (4) ◽  
pp. 238-244 ◽  
Author(s):  
David Martinez-Gomez ◽  
Irene Esteban-Cornejo ◽  
Esther Lopez-Garcia ◽  
Esther García-Esquinas ◽  
Kabir P Sadarangani ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Highly Active ◽  
Atherogenic Dyslipidaemia

ObjectivesWe examined the dose–response relationship between physical activity (PA) and incidence of cardiovascular disease (CVD) risk factors in adults in Taiwan.MethodsThis study included 1 98 919 participants, aged 18–97 years, free of CVD, cancer and diabetes at baseline (1997–2013), who were followed until 2016. At baseline, participants were classified into five PA levels: inactive’ (0 metabolic equivalent of task (MET)-h/week), ‘lower insufficiently active’ (0.1–3.75 MET-h/week), ‘upper insufficiently active’ (3.75–7.49 MET-h/week), ‘active’ (7.5–14.99 MET-h/week) and ‘highly active’ (≥15 MET-h/week]. CVD risk factors were assessed at baseline and at follow-up by physical examination and laboratory tests. Analyses were performed with Cox regression and adjusted for the main confounders.ResultsDuring a mean follow-up of 6.0±4.5 years (range 0.5–19 years), 20 447 individuals developed obesity, 19 619 hypertension, 21 592 hypercholesterolaemia, 14 164 atherogenic dyslipidaemia, 24 275 metabolic syndrome and 8548 type 2 diabetes. Compared with inactive participants, those in the upper insufficiently active (but not active) category had a lower risk of obesity (HR 0.92; 95% CI 0.88 to 0.95), atherogenic dyslipidaemia (0.96; 0.90 to 0.99), metabolic syndrome (0.95; 0.92 to 0.99) and type 2 diabetes (0.91; 0.86 to 0.97). Only highly active individuals showed a lower incidence of CVD risk factors than their upper insufficiently active counterparts.ConclusionCompared with being inactive, doing half the recommended amount of PA is associated with a lower incidence of several common biological CVD risk factors. Given these benefits, half the recommended amount of PA is an evidence based target for inactive adults.

scholarly journals Cardiovascular Health Effects of Shift Work with Long Working Hours and Night Shifts: Study Protocol for a Three-Year Prospective Follow-Up Study on Industrial Workers

2020 ◽  
Vol 17 (2) ◽  
pp. 589 ◽  
Author(s):  
Lars-Kristian Lunde ◽  
Øivind Skare ◽  
Asgeir Mamen ◽  
Per Anton Sirnes ◽  
Hans C. D. Aass ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Shift Work ◽  
Cardiovascular Health ◽  
Working Hours ◽  
Respirable Dust ◽  
Long Working Hours ◽  
One Year ◽  
Night Shifts

There is a plausible association between shift work and cardiovascular disease (CVD), which may be due to disruption of the circadian rhythm causing hormonal changes and metabolic disturbances, resulting in high blood pressure, atherosclerosis, diabetes, and being overweight. However, few studies have investigated the association between several consecutive long work shifts, including night shifts, and risk factors for developing CVD. Moreover, knowledge is lacking on factors that may modify or enhance this suggested relationship. The study period is planned from the third quarter of 2018 to the fourth quarter of 2021, and will involve 125 industrial employees at two Norwegian enterprises producing insulation. The work schedule is either rotating shiftwork (morning, evening, night) or regular day work. At baseline, we will measure blood parameters, including markers of inflammation, lipids, and glycosylated hemoglobin. We will also collect measures of blood pressure, resting heart rate, arterial stiffness, carotid intima-media thickness, and aerobic fitness. At the end of baseline data collection, a subgroup will undergo a supervised high-intensity interval training intervention for eight weeks, initiated by the Occupational Health Service. At one-year follow-up, we repeat baseline measures with added measures of heart rate variability and additional five weeks monitoring of sleep and physical activity, and assessment of respirable dust. At the two year follow-up, we will measure CVD risk factors before and after a planned three-month shutdown in one of the studied plants. We will also assess respirable dust, monitor sleep, and compile a one-year retrospective detailed overview of working hours. A final data collection, similar to the one at baseline, will be carried out after three years. We will use a comprehensive set of methods to identify the effects of shift work with long working hours and night shifts on cardiovascular health. This will provide new knowledge on the association between early manifestations of CVD and occupational exposure to shift work. Further, we can study whether work organization such as extensive overtime, sleep loss, and dust exposure have detrimental effects, and if a three-month cease in shift work or increased physical activity will modify early manifestations of CVD.

Pain Characteristics, Cardiovascular Risk Factors, and Cardiovascular Disease

2021 ◽  
Author(s):  
Isabel Rodríguez-Sánchez ◽  
Rosario Ortolá ◽  
Auxiliadora Graciani ◽  
David Martínez-Gómez ◽  
Jose R Banegas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Chronic Pain ◽  
Diet Quality ◽  
Pain Scale ◽  
Cvd Risk Factors ◽  
Recreational Physical Activity ◽  
Cvd Risk

Abstract Background There is unclear evidence that chronic pain may increase the risk of cardiovascular disease (CVD) incidence and mortality. This work evaluated the association between chronic pain, incidence of CVD and changes in CVD risk factors. Methods Cohort of 1091 community-dwelling individuals ≥60years, free from CVD at baseline, followed up for 6 years. Data on psychosocial factors and CVD risk factors was obtained through validated questionnaires and laboratory measurements. A pain scale ranging from 0 (no pain) to 6 (worst pain) was created according to pain frequency, location and intensity. Results The cumulative incidence of CVD was 4.2% at 3 years, and 7.7% at 5-years of follow-up. Compared to individuals without pain in the first 3 years (2012-2015), those with maintained scores ≥2 showed a mean reduction of 3.57 (-5.77,-1.37) METs-h/week in recreational physical activity; a 0.38-point (0.04,0.73) increase in psychological distress; and a 1.79 (1.03,3.11) higher odds of poor sleep. These associations held in the second follow-up period, when individuals with maintained pain also worsened their diet quality. A 1-point increase in the pain scale in 2012 was associated with a 1.21 (1.03,1.42) and 1.18 (0.97,1.44) increased CVD incidence in 2015 and 2017, respectively; none of the studied factors mediated this relationship. Conclusions Older adults with chronic pain show important reductions in recreational physical activity and deterioration in mental health, sleep and diet quality, which may well aggravate pain. Future studies should evaluate whether these factors mediate the increased risk of CVD observed in older adults with chronic pain.

scholarly journals The Role of Clinical Pharmacists in Modifying Cardiovascular Disease Risk Factors

2013 ◽  
Vol 4 (3) ◽  
Author(s):  
Autumn Bagwell ◽  
Jessica W. Skelley ◽  
Lana Saad ◽  
Thomas Woolley ◽  
DeeAnn Dugan
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Smoking Behavior ◽  
Cardiovascular Disease Risk Factors ◽  
Cvd Risk Factors ◽  
Cvd Risk

Objective: Assess the effect of intensive clinical and educational interventions aimed at reducing risk factors for Cardiovascular Disease (CVD), implemented by clinical pharmacists, on modifying risk factors in targeted patients at high risk for CVD. Design: Patients with at least two risk factors for CHD were identified at two clinics by conducting a pre-intervention survey and were monitored over a period of 6 months with follow up conversations conducted every 4 weeks by phone and at subsequent physician visits. A post-intervention survey was conducted at the end of the study period to detect modified risk factors. Setting: The Jefferson County Public Health Department (JCHD) Participants: We followed a total of 47 patients over 6 months. The average age at baseline was 51 years old and 80% of the participants were female. The baseline average number of modifiable cardiovascular disease risk factors was 3.7. Measurements: We assessed total number of CVD risk factors, smoking behavior, blood pressure, LDL, A1C, weight, and level of physical activity (major modifiable risk factors by the American Heart Association). Results: Over a 6 month follow-up of 47 patients, statistically significant reductions occurred in total number of CVD risk factors, systolic and diastolic blood pressures, and A1C. Reductions also occurred in LDL level, weight, and changes in smoking behavior and physical activity were identified. Conclusions: Results showed that increased patient counseling on adherence and lifestyle changes along with increased disease state monitoring and medication adjustment led by a clinical pharmacist can decrease risk factors in patients with multiple risk factors for cardiovascular disease.   Type: Student Project

Abstract 469: Relationship of Heart Rate and Physical Activity with Cardiovascular Risk Factors in a Multi-ethnic Population.

2015 ◽  
Vol 35 (suppl_1) ◽  
Author(s):  
Andrew Grandinetti ◽  
Joseph K Kaholokula
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Heart Rate ◽  
Total Cholesterol ◽  
Ethnic Groups ◽  
Hdl Cholesterol ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Relationship Of

Introduction: Resting heart rate (RHR) has been identified as an independent risk factor for cardiovascular disease and mortality. Hypothesis: Physical activity and RHR are associated with hypertension, dyslipidemia and insulin resistance in a multiethnic population. Methods: Cross-sectional data from 1,440 participants of Native Hawaiian, Japanese, Filipino, Caucasian, and mixed ethnic ancestries were examined. Body fat was estimated using body mass indices (BMI); fat distribution by waist-hip ratios (WHR); and insulin resistance using the Homeostasis Model (HOMA-IR). Total cholesterol, triglycerides, and HDL-cholesterol levels were assayed from fasting plasma samples. LDL cholesterol was calculated using the Friedewald formula. Blood pressure measurements and medical histories were obtained to determine hypertension status. Leisure time physical activity (PA) was estimated by calculating metabolic equivalents (METS) using the Modifiable Activity Questionnaire. Associations were estimated using logistic regression for dichotomous outcomes (HTN) and general linear models (GLM) for continuous variables. Results: Caucasians had lower prevalence of HBP and insulin resistance than all other ethnic groups; there were no statistically significant differences between other ethnic groups on mean RHR. HOMA-IR, RHR, BMI and WHR all differed significantly by ethnic group. Low RHR and high levels of physical activity were inversely associated with insulin resistance. After adjusting for covariates, only RHR remained significantly associated with HBP prevalence. Likewise, only RHR was significantly associated with total cholesterol, LDL and triglycerides. In contrast, HDL cholesterol was positively associated with physical activity but not associated with RHR. Conclusion: The relationship of RHR and PA is complex with RHR and PA actions differing for different CVD risk factors. Since low RHR may be an indicator of cardiovascular fitness, these findings suggest fitness, rather than energy expenditure, may be important in preventing most CVD risk factors, while activity level may be more important for increasing HDL levels. A customized approach to activity plans may need to consider specific patient risk profiles.

One-Year Stability of Cardiovascular Diseases Risk Factors in Portuguese Youngters

2003 ◽  
Vol 15 (4) ◽  
pp. 428-439
Author(s):  
Sandra Guerra ◽  
José Carlos Ribeiro ◽  
José Oliveira ◽  
Armando Teixeira-Pinto ◽  
J.W.R. Twisk ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Risk Factor ◽  
Cardiovascular Diseases ◽  
Life Style ◽  
Biological Risk ◽  
One Year ◽  
The Stability ◽  
Age And Sex

The purposes of the present study were to analyze the stability of biological risk factors for CVD (blood pressure [BP], percentage of fat mass [%FM], total cholesterol [TC]) and one behavioral/life style risk factor (physical activity [PA]), as well as to study the stability of biological risk factors clustering. The sample comprised 325 males and 367 females, aged 8-15 years old. Participants were classified as being “at risk” according to age and sex adjusted 4th quartile or the first for PA. Three biological risk factors (%FM, SBP and TC) showed higher stability (one-year interval; r = 0.9–0.5) than DBP (r = 0.3) and PAI (r = 0.3). It can be concluded that 46% of subjects with two and/or three biological risk factors at the first measurement remained with the same number of biological risk factors in the second measurement.

Hygienic characteristics of the cosmetologists' lifestyle

2020 ◽  
Vol 60 (12) ◽  
pp. 958-963
Author(s):  
Natalia I. Latyshevskaya ◽  
Tatyana L. Yatsyshena ◽  
Elena L. Shestopalova ◽  
Irina Yu. Krainova
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Information And Communication Technologies ◽  
Health Risks ◽  
Healthy Lifestyle ◽  
Personal Hygiene ◽  
Risk Category ◽  
Essential Components ◽  
Group A ◽  
Group B

Modern trends in the deterioration of health and the growth of non-communicable diseases among the adult working-age population, including medical workers, actualize the importance of a healthy lifestyle for maintaining health and professional longevity. There were almost no studies related to cosmetologists' experienced group as representatives of aesthetic medicine. There is no scientific evidence on behavioral risks of this group. It justifies the relevance of this study. The study aims to analyze the essential components of the cosmetologists' lifestyle depending on age and the argumentation of priority behavioral health risk factors for preventive and recreational work justification. Sixty women (practicing cosmetologists in Volgograd at the age of 28-39 years (group A) and 40-53 (group B)) took part in the study. Lifestyle assessment included a modified questionnaire. The questionnaire consists of 5 blocks (block 1 - nutrition; 2 - physical activity, including hardening and active rest; 3 - daily regimen; 4 - personal hygiene; 5 - bad habits). It allows the analysis of the adherence to a healthy lifestyle based on the provision of quantitative data. Statistical data processing was carried out using the Excel package. The authors identified the essential and statistically significant differences in the cosmetologists' lifestyle depending on age. The respondents of group B demonstrated hygienically rational indicators in all blocks of the lifestyle more often. They had a more formed adherence to a healthy lifestyle: 504 answers in the category "insignificant risk" of respondents in group B versus 354 in group A. Distribution of answers in the "high risk" category: 119 responses in group B and 185 in group A. The lifestyle of 46.7% of the respondents in group B refers to a healthy lifestyle. 3.3% of the group B respondents have an anxious lifestyle, 50% have health risks. 10% of Group A respondents' lifestyle refers to a healthy lifestyle. 13.3% of Group A respondents' lifestyle refers to an anxious lifestyle; 76.7% of this group have health risks. There was almost no complex hygienic research profession of medical cosmetologists. Cosmetologists of the older age group (40-53 years old) are more conscious of maintaining a hygienically rational lifestyle. The most significant defects among cosmetologists aged 28-39 years are low physical activity, nutritional defects, insufficient duration of night rest, and excessive use of information and communication technologies for rest, accompanied by manifestations of neurotization and signs of pronounced fatigue. The obtained results argue the need to develop and implement informational and educational measures to prevent risk behavior patterns, taking into account the age of cosmetologists and the priority of the identified behavioral risk factors.

scholarly journals Changes in lifestyle, biological risk factors and total homocysteine in relation to MTHFR C677T genotype: a 5-year follow-up study

2009 ◽  
Vol 63 (10) ◽  
pp. 1233-1240 ◽  
Author(s):  
L L N Husemoen ◽  
A Linneberg ◽  
M Fenger ◽  
B H Thuesen ◽  
T Jørgensen
Keyword(s):  
Risk Factors ◽  
Mthfr C677t ◽  
Biological Risk ◽  
Follow Up Study ◽  
Total Homocysteine ◽  
Genotype A

scholarly journals Geographical profiles of cardiovascular risk and the risk factors in China: data from a nationwide population-based screening project

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.Q Wu ◽  
X Li ◽  
J.P Lu ◽  
B.W Chen ◽  
Y.C Li ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Population Based ◽  
Staple Food ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Food Factor ◽  
Rural And Urban ◽  
Activity Factor

Abstract Background In China, an abundance of cardiovascular risk factors has contributed to the increasing prevalence of cardiovascular diseases (CVD), which caused almost 4 million deaths per year. However, comprehensive evidence on the geographical profiles of cardiovascular disease risk in China is lacking, as findings in prior studies have been limited to relatively small sample sizes, had incomplete regional coverage, or focused on a narrow risk factor spectrum. Purpose To compare the population CVD risk among different regions across China, and to describe the geographical distributions of CVD risk factors and their clusters throughout the nation. Methods In a nationwide population-based screening project covering 252 counties of China, standardized measurements were conducted to collect information on 12 major CVD risk factors. Individuals of high CVD risk were identified as those with previous CVD, or with a predicted 10-year risk of CVD greater than 10% according to the WHO risk prediction charts. We applied factor analysis to generate “clusters” that characterized the clustering of these risk factors, then explored their relationship with the local ambient temperature and per capital GDP. Results Among 983476 participants included, 9.2% were of high CVD risk, with a range of 1.6% to 23.6% across counties. Among the seven regions in China, the rate was relatively high in the Northeast (11.8%) and North China (10.4%), while low in the South China (7.2%) and Northwest (7.8%). We identified 6 clusters underlying CVD risk factors, including Obesity factor, Blood pressure factor, Staple food factor, Non-staple food factor, Smoking and alcohol factor, and Metabolic and physical activity factor (Figure). We found high risk regions were facing different leading challenges, like obesity and blood pressure for the North China, while unhealthy non-staple food for the Northeast. The South China, as the region with the lowest CVD risk, still had the highest prevalence of unhealthy staple food. Lower annual average ambient temperature was associated with higher risk in Blood pressure factor, Obesity factor and Non-staple food factor, but lower risk in Staple food factor and Metabolic and physical activity factor (p<0.001 for all), consistently between rural and urban. Higher per capital GDP was associated with lower risk in Non-staple food factor in urban and higher risk in Metabolic and physical activity factor in rural (p<0.05 for both). The correlation between per capital GDP and Smoking and alcohol factor differed significantly between in rural and urban regions (p=0.042). Conclusions The geographical profile of CVD risk in China is complex - population risk levels varied substantially across regions, which were contributed by different risk factors. China needs geographically targeted intervention strategies considering environmental and socio-economic factors to control CVD risk and reduce the burden related to CVD. Geographical disparity of risk clusters Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): The National Key Research and Development Program from the Ministry of Science and Technology of China; the CAMS Innovation Fund for Medical Science

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