Clustering Of Disease Risk Factors Research Articles

Visceral adiposity index, fitness and clustered cardiovascular disease risk in adolescents.

Clustering of cardiovascular disease (CVD) risk factors have been observed in children and adolescents, but its association with visceral adiposity index (VAI) and cardiorespiratory fitness (CRF) in adolescents has rarely been studied. This study determines the independent associations of VAI and CRF with the clustering of cardiovascular disease risk (CVDr) among Nigerian adolescents. Adolescents from specific secondary schools in Kogi East, North Central Nigeria participated in the study. A cross-sectional sample of 403 adolescents (202 boys and 201 girls) aged 11 years - 19 years were evaluated for VAI, CRF and CVDr. Using identified risk factors, a clustered CVDr score was generated. The association between VAI, CRF and clustered CVDr was evaluated using regression models that controlled for age, gender and maturity status. Fitness was negatively associated with CVDr (β= -0.268,p 0.001), while VAI was positively correlated with CVDr (β= 0.379,p 0.001). After CRF or VAI adjustment, the independent association with the dependent variable remained significant. The odds of an adolescent with elevated VAI being at risk of CVD was 4.7 times higher than his peers. Unfit adolescents were 2.1 times more likely to develop CVDr. Both VAI and CRF were independently associated with the clustering of CVDr in Nigerian adolescents. The findings suggest that health promotion efforts focusing on healthy diet and aerobic-type physical activity programmes should be encouraged among the youth to reduce the risk of CVD.Contribution:This study shows that improving visceral adipose tissue and fitness may lower CVD risk factors in adolescents, which is significant for public health.

Prevalence of multiple non-communicable diseases risk factors among self-reported healthy older adults living in community dwelling in India: Evidence from the Longitudinal Ageing Study in India

IntroductionNoncommunicable disease (NCDs) risk factor clustering multiplies the risk especially in aging populations. The study objective was to estimate the prevalence and determinants of multiple NCD risk factors amongst older adults in India using the Community-Based Assessment Checklist (CBAC). MethodsA secondary analysis was undertaken using the Longitudinal Ageing Study in India (LASI) data wave-I having 40,510 participants aged ≥ 45 years without a history of diabetes or hypertension. The CBAC recommended by the national program consists of assesses six NCD risk factors: age, tobacco use, alcohol use, waist circumference, physical activity, and family history. ResultsThe prevalence of individuals at high-risk for NCDs defined as a CBAC score ≥ 4 was 55.2 % (95 % CI: 54.1, 56.29). Male gender, widowhood, obesity, and unemployment were independently associated with higher odds of having a high NCD risk factor status. Geographically, Northeastern and Southern states had higher burden of individuals at high-risk for NCDs. Furthermore, 28.44 % of patients at high-risk for NCDs were also having undiagnosed hypertension detected on screening. ConclusionMore than one in two older adults aged ≥ 45 years in India without an established history of diabetes or hypertension have four or more NCD related risk factors that accentuate their NCD risk.

Clustering of non-communicable disease risk factors among adolescents in urban and rural Rajasthan

Background: Non communicable diseases (NCDs) are primarily driven by the modifiable risk factors that often emerge during the childhood/adolescence and contribute towards majority of premature deaths during adulthood. This study aimed to assess the prevalence of multiple NCD risk factors and the associated factors among adolescents in urban and rural areas of Rajasthan. Methods: It was a community-based cross-sectional study conducted among 430 school going adolescents. A self-administered questionnaire adapted from STEPS survey format of the WHO and indian adolescent health questionnaire was used; anthropometric measurements were taken using standard procedure. Presence of two or more risk factors in one individual was considered as clustering of NCD risk factors. Results: Prevalence of two risk factors (Dyads) was 48.8% (urban) and 33% (rural), three or more risk factors were found in about 12.1% urban and 7.9% rural adolescents. For “Dyads”, males had OR 3.58 (95% CI 1.9- 6.4) and OR 4.1 (95% CI 2.6-7.9) in urban and rural areas, respectively. The risk of clustering was higher with increasing age [Dyad: OR 1.26 (CI 1.1-5.73) in urban, OR 2.2 (CI 1.56-3.7) in rural; ≥ 3 risk factors: OR 2.3 (CI 1.98-4.11) in urban, OR 1.52 (CI 1.21-4.9)]. Conclusions: Clustering of the risk factors was prevalent among urban as well as rural adolescents emphasizing the importance of developing primary prevention strategies which can be effective across all demographic and socioeconomic backgrounds.

Comparison of waist circumference and waist-to-height ratio as predictors of clustering of cardiovascular risk factors among middle-aged people in rural Khanh Hoa, Vietnam.

Given the population-level variation in stature, a universal cut-off for waist circumference (WC) may not be appropriate for some populations. We compared the performance of WC and waist-to-height ratio (WHtR) to detect the clustering of cardiovascular disease (CVD) risk factors in rural Vietnam. We obtained data from a baseline survey of the Khanh Hoa Cardiovascular Study comprising 2942 middle-aged residents (40-60 years). We used areas under the receiver operating characteristics curve (AUROC), net reclassification index (NRI), and integrated discrimination improvement (IDI) to compare the performance of WC and WHtR in predicting CVD risk clustering (≥2 of the following risk factors: hypertension, diabetes, dyslipidemia, and elevated C-reactive protein). The optimal cut-off values for WC were 81.8 and 80.7 cm for men and women, respectively. Regarding the clustering of CVD risk factors, the AUROC (95% CI) of WC and WHtR were 0.707 (0.676 to 0.739) and 0.719 (0.689 to 0.749) in men, and 0.682 (0.654 to 0.709) and 0.690 (0.663 to 0.717) in women, respectively. Compared with WC, WHtR had a better NRI (0.229; 0.102-0.344) and IDI (0.012; 0.004-0.020) in men and a better NRI (0.154; 0.050-0.257) in women. The optimal WC cut-off for Vietnamese men was approximately 10 cm below the recommended Asian cut-off. WHtR might perform slightly better in predicting the clustering of CVD risk factors among the rural population in Vietnam.

Prevalence of clustering of non-communicable disease risk factors in a highly urbanized district of India: findings of a cross-sectional survey in Puducherry.

In an individual, the development and severity of Non-Communicable Diseases (NCDs) are determined by the presence or absence of clustering of NCD risk factors in them. We aimed to determine the prevalence and the factors associated with clustering of risk factors of NCDs in the district of Puducherry in India. We conducted a community-based cross-sectional survey among the adult population (18-69 years) of Puducherry district (N = 1114) between February 2019 and February 2020. Ten risk factors of NCDs (behavioral, physical measurements and biochemical) were assessed. Individuals having ≥ 3 risk factors were regarded as having clustering of risk factors. Categorical variables are summarized using proportions (95% CI). Adjusted prevalence ratio was estimated using weighted forward stepwise generalized linear modelling. Clustering of NCD risk factors was present in majority (95.2%, 95% CI: 93.8-96.3) of the population. The presence of clustering was significantly higher among women (97.1%, 95% CI: 95.9-98.3) and the urban population (97.2%, 95% CI: 96.1-98.3). The risk factors that primarily drove the high prevalence of clustering were raised salt intake and inadequate intake for fruits and vegetables in nine out of 10 people in the district. Nearly 1 in 10 (13.3%, 95% CI: 11.3-15.3), 1 in 5 (21.5%, 95% CI: 19.1-23.8) and 1 in 4 (26.8%, 95% CI: 24.1-29.4) participants had three, four and five risk factors, respectively. We highlight the urgent need for population-based health promotion interventions in the district of Puducherry targeting the highly prevalent NCD risk factors, especially among the women and urban populations.

Clustering and trajectories of key noncommunicable disease risk factors in Norway: the NCDNOR project

Noncommunicable diseases (NCDs) are a leading cause of premature death globally and have common preventable risk factors. In Norway, the NCDNOR-project aims at establishing new knowledge in the prevention of NCDs by combining information from national registries with data from population-based health studies. In the present study, we aimed to harmonize data on key NCD risk factors from the health studies, describe clustering of risk factors using intersection diagrams and latent class analysis, and identify long-term risk factor trajectories using latent class mixed models. The harmonized study sample consisted of 808,732 individuals (1,197,158 participations). Two-thirds were exposed to ≥ 1 NCD risk factor (daily smoking, physical inactivity, obesity, hypertension, hypercholesterolaemia or hypertriglyceridaemia). In individuals exposed to ≥ 2 risk factors (24%), we identified five distinct clusters, all characterized by fewer years of education and lower income compared to individuals exposed to < 2 risk factors. We identified distinct long-term trajectories of smoking intensity, leisure-time physical activity, body mass index, blood pressure, and blood lipids. Individuals in the trajectories tended to differ across sex, education, and body mass index. This provides important insights into the mechanisms by which NCD risk factors can occur and may help the development of interventions aimed at preventing NCDs.

Epigenetic implications in maternal diabetes and metabolic syndrome-associated risk of orofacial clefts.

Orofacial clefts (OFCs) are one of the most common types of structural birth defects. The etiologies are complicated, involving with genetic, epigenetic, and environmental factors. Studies have found that maternal diabetes and metabolic syndrome are associated with a higher risk of OFCs in offspring. Metabolic syndrome is a clustering of several disease risk factors, including hyperglycemia, dyslipidemia, obesity, and hypertension. Metabolic disease during pregnancy can increase risk of adverse outcomes and significantly influence fetal development, including orofacial formation and fusion. An altered metabolic state may contribute to developmental disorders or congenital defects including OFCs, potentially through epigenetic modulations, such as histone modification, DNA methylation, and noncoding RNA expression to alter activities of critical morphogenetic signaling or related developmental genes. This review summarizes the currently available evidence and underlying mechanisms of how the maternal metabolic syndrome is associated with OFCs in mostly human and some animal studies. It may provide a better understanding of the interactions between intrauterine metabolic status and fetal orofacial development which might be applied toward prevention and treatments of OFCs.

Trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest China: a cross-sectional study

ObjectivesThis study aimed to determine the changing prevalence of clustering of cardiovascular disease (CVD) risk factors across socioeconomic spectra in rural southwest China.DesignData were collected from two waves of cross-sectional...

Clustering of cardiovascular disease risk factors among first-year students at the University of Ibadan, Nigeria: a cross-sectional study.

Cardiovascular disease (CVD) is the second leading cause of death in sub-Saharan Africa. Globally, there is substantial evidence that modifiable risk factors for CVD are increasing in adolescents. Unfortunately, there is a paucity of information on the prevalence and clustering of these risk factors in adolescents. This study explores the modifiable risk factors for CVD among first-year students at the University of Ibadan, Nigeria. This cross-sectional study was conducted at the University of Ibadan, Nigeria. A total of 546 newly admitted students at the University of Ibadan, Nigeria, were recruited using stratified random sampling. An interviewer-administered questionnaire was used to obtain information from study participants between January and February 2016. The mean age of respondents was 19 ± 2.2 years with a male-to-female ratio of 1:1. The reported risk factors for CVD were smoking (1.6%), abdominal obesity (3.3%), alcohol consumption (3.7%), overweight/obesity (20.7%), unhealthy diet (85.3%), and physical inactivity (94.5%). Clustering of ≥ 2 risk factors was reported in 23.4% of students. Female students were twice as probably overweight/obese as male students (adjusted odds ratio [AOR] = 2.2; confidence interval [CI] = 1.41-3.43). Students whose fathers were skilled workers were 3.5 times more likely to be physically inactive (AOR = 1.7; CI = 0.97-2.96). The clustering of ≥ 2 risk factors was significantly higher among women and Muslims in bivariate analysis, whereas no significant association was found in multivariate analysis. Public health strategies to prevent CVD risk factors should begin in schools and extend to the entire community.

Heat maps of cardiovascular disease risk factor clustering among community-dwelling older people in Xinjiang: a cross-sectional study

ObjectiveThe clustering of multiple cardiovascular disease (CVD) risk factors (CRFs) increases the risk of CVD prevalence and mortality. Little is known about CRF clustering among community-dwelling older people in Xinjiang....

The influence of childhood socioeconomic status on non-communicable disease risk factor clustering and multimorbidity among adults in Botswana: a life course perspective.

Childhood socioeconomic circumstances have a great influence on the health of individuals in adult life. We used cross-sectional data from a non-communicable disease (NCD) survey conducted in 2016, and respondents aged ≥15 y were selected from 3 cities/towns, 15 urban villages and 15 rural areas using a multistage probability-sampling technique. The total sample for the study was 1178. Two multinomial logistic regression models were fitted to data to ascertain the association between childhood socioeconomic status (SES) and NCD risk factor clustering and multimorbidity, using SPSS version 27. All comparisons were considered to be statistically significant at a 5% level. The prevalence of multiple NCD risk factors and multimorbidity was 30.1 and 5.3%, respectively. The odds of reporting NCD risk factor clustering were significantly high among individuals who reported low (adjusted OR [AOR]=1.88, 95% CI 1.21 to 2.78) and middle (AOR=1.22, 95% CI 1.02 to 2.05) childhood SES compared with high childhood SES. Conversely, individuals from a low SES background were more likely to report both single (AOR=1.17, 95% CI 1.00 to 2.01) and multiple NCD conditions (AOR=1.78, 95% CI 1.11 to 2.68) compared with those with a high childhood SES background. There is a need to stimulate policy debate and research to take cognisance of childhood socioeconomic circumstances in health policy planning.

The Effects of Bioavailability-Enhanced Curcuminoids on Serum Paraoxonase-1 Activity in Patients with Metabolic Syndrome

Introduction: Metabolic syndrome (MetS) is characterised by a clustering of metabolic cardiovascular disease (CVD) risk factors that include: central obesity, impaired glucose metabolism, dyslipidaemia (hypertriglyceridemia, increased low-density lipoprotein [LDL], decreased high-density lipoprotein [HDL]) and hypertension. Paraoxynase-1 (PON1) is a plasma HDL associated protein that inhibits the oxidation of other lipoproteins. There is some evidence of reduced enzyme activity in subjects with metabolic syndrome. Curcumin is a natural polyphenol, it has been reported that curcumin has beneficial effects on several metabolic syndrome associated parameters. The aim of this study was to evaluate the effect of phospholipid complex of curcumin as an antioxidant on the activity of this enzyme in subjects with metabolic syndrome.Materials and method: A double-blind randomised control study was undertaken in 80 patients with metabolic syndrome. Subjects in the intervention (n = 40) were given capsules of phospholipidated curcumin (1 g/day) for a period of 6 weeks. The control subjects (n = 40) received a placebo. Fasting blood samples of each person were obtained during the start and the end of the study. Paraoxonase activity was measured using a PON1 fluorescence Paraoxonase Assay Kit and Arylesterase activity was measured by photometeric method using a UV-Visible spectrophotometer.Results: Serum paraoxonase enzyme activity did not change significantly between the curcumin treated group and the control group before the intervention (0.54 ± 0.18 U/µl versus 0.49 ± 0.14 U/µl; P > 0.05), nor did serum arylesteras activity change significantly between two study groups (152.67 [46.60 to 916.05] U/µl versus 129.77 [55.34 to 344.78] U/µl; P > 0.05). In addition, there was no significant difference in changes at baseline and after the intervention in serum PON1 activity between the curcumin treated group and the control group (-0.03±0.19 U/µl versus -0.04±0.18 U/µl; P > 0.05), nor was there a significant change in arylesteras activity (-12.36 [-88.83 to 110.24] U/µl versus -4.58 [-61.06 to 47.07] U/µl; P > 0.05).Conclusion: Phospholipid fortified curcumin has no significant effect on serum PON1 activity.

Clustering of noncommunicable disease risk factors among adolescents attending higher secondary schools in Kasaragod District, Kerala, India

BackgroundLimited evidence exists on the presence of collective non-communicable disease (NCD) risk factors among adolescents in Kerala, India. We aimed to assess the prevalence and factors associated with multiple NCD risk factors and the clustering of these risk factors among adolescents in Kasaragod District, Kerala.MethodsWe selected 470 adolescents (mean age 16.6 years, male 53.8%) through multi-stage cluster sampling from higher secondary schools of Kasaragod district. Self-administered questionnaires were used, and anthropometric measurements were taken using standard techniques and protocols. Tobacco use, alcohol consumption, low fruits and vegetable consumption, inadequate physical activity, extra salt intake, overweight, consumption of soft drinks and packed foods were the eight NCD risk factors included.The factors associated with one, two and three or more NCD risk factors were analysed using multinomial logistic regression and the standard errors were adjusted for the four clusters.ResultsRisk factor clusters with two risk factors (dyads) and three risk factors (triads) were observed in 163 (34.7%) and 102 (21.7%) of the sample, respectively. Adolescents residing in urban areas (odds ratio (OR) = 3.55; 95% confidence interval (CI) = 1.45-8.73), whose father’s education level was lower (OR = 3.54; 95% CI = 1.24-10.10), whose mother’s education was lower (OR= 4.13; 95% CI = 1.27-13.51), who had restrictions on physical activity (OR = 5.41; 95% CI = 1.20-24.30) and who did not have a kitchen garden (an area where fruits and vegetables are grown for domestic use) (OR=4.51;95% CI = 1.44-14.12) were more likely to have three or more NCD risk factors compared to their counterparts.ConclusionsClustering of NCD risk factors was prevalent in more than half of the adolescents. Efforts are warranted to reduce multiple risk factors, focussing on children of low educated parents and urban residents.

Prevalence and Clustering of Cardiovascular Risk Factors among Medical Staff in Northeast China.

Background: The clustering of cardiovascular disease (CVD) risk factors has become a major public health challenge worldwide. Although many studies have investigated CVD risk factor clusters, little is known about their prevalence and clustering among medical staff in Northeast China. This study aimed to estimate the prevalence and clustering of CVD risk factors and to investigate the association between relevant characteristics and the clustering of CVD risk factors among medical staff in Northeast China. Methods: A cross-sectional survey of 3720 medical staff from 93 public hospitals in Jilin Province was used in this study. Categorical variables were presented as percentages and were compared using the χ2 test. Multiple logistic regression analysis was used to evaluate the association between relevant characteristics and the clustering of CVD risk factors. Results: The prevalence of hypertension, diabetes, dyslipidemia, being overweight, smoking, and drinking were 10.54%, 3.79%, 17.15%, 39.84%, 9.87%, and 21.75%, respectively. Working in a general hospital, male, and age group 18–44 years were more likely to have 1, 2, and ≥3 CVD risk factors, compared with their counterparts. In particular, compared with being a doctor, being a nurse or medical technician was less likely to have 1, 2, and ≥3 CVD risk factors only in general hospitals. Conclusions: The findings suggest that medical staff of general hospitals, males, and older individuals have a high chance associated with CVD risk factor clustering and that more effective interventions should be undertaken to reduce the prevalence and clustering of CVD risk factors, especially among older male doctors who work in general hospitals.

Clustering of noncommunicable disease risk factors among adolescents attending higher secondary schools in Kasaragod District, Kerala, India

Background: Limited evidence exists on the presence of collective non-communicable disease (NCD) risk factors among adolescents in Kerala, India. We aimed to assess the prevalence and factors associated with multiple NCD risk factors and clustering of these risk factors among adolescents in Kasaragod District, Kerala.Methods: We selected 470 adolescents (mean age 16.6 years, male 53.8%) through multi-stage cluster sampling from higher secondary schools of Kasaragod district. Self-administered questionnaires were used, and anthropometric measurements were taken using standard techniques and protocols. Tobacco use, alcohol consumption, low fruits and vegetable consumption, inadequate physical activity, extra salt intake, overweight, consumption of soft drinks and packed foods were the eight NCD risk factors included. Multinomial logistic regression analysis was done to find out the factors associated with one, two and three or more NCD risk factors.Results: Risk factor clusters with two risk factors (dyads) and three risk factors (triads) were observed in 163 (34.7%) and 102 (21.7%) of the sample, respectively. Adolescents residing in urban areas (odds ratio (OR) = 3.55; 95% confidence interval (CI) = 1.45-8.73), whose father’s education level was lower (OR = 3.54; 95% CI = 1.24-10.10), whose mother’s education was lower (OR= 4.13; 95% CI = 1.27-13.51), who had restrictions on physical activity (OR = 5.41; 95% CI = 1.20-24.30) and who did not have a kitchen garden (an area where fruits and vegetables are grown for domestic use) (OR=4.51;95% CI = 1.44-14.12) were more likely to have three or more NCD risk factors compared to their counterparts. Conclusions: Clustering of NCD risk factors was prevalent in more than half of the adolescents. Efforts are warranted to reduce multiple risk factors, focussing on children of low educated parents and urban residents. Parents of adolescents may be encouraged to have kitchen gardens and not to restrict adolescent’s physical activity.

Association of Dietary Patterns with Weight Status and Metabolic Risk Factors among Children and Adolescents

Unhealthy dietary patterns are associated with obesity in children and adolescents. However, few studies have investigated the relationships between dietary patterns and obesity-related metabolic disorders among Asians. We identified dietary patterns in children and adolescents and examined the associations between these patterns and obesity, insulin resistance, and metabolic syndrome in South Korea. This study is a cross-sectional design. We used baseline data from an intervention study of 435 Korean children and adolescents aged 6–17 years. Insulin resistance was assessed as HOMA-IR ≥ 2.6. Metabolic syndrome was diagnosed by cardiovascular disease risk factor clustering. Dietary intakes were estimated using 3-day food records. Factor analysis was used to obtain dietary patterns, and we examined the associations between dietary patterns and obesity-related markers adjusted for potential covariates. Three dietary patterns were identified as fast food and soda (FFS), white rice and kimchi (WRK), and oil and seasoned vegetable (OSV) patterns. Compared with participants in the lower intake of FFS pattern, those in the top intake were associated with a higher waist circumference (WC) (β = 1.55), insulin level (β = 1.25), and body mass index (BMI) (β = 0.53) and it was positively associated with HOMA-IR ≥ 2.6 (OR = 2.11; 95% CI: 1.227–3.638) (p < 0.05). WRK pattern was associated with lower weight and higher HDL cholesterol, and the OSV pattern was associated with a lower weight, WC, and insulin level (p < 0.05). The FFS pattern showed a positive relation with WC, serum insulin, and BMI, and the other two dietary patterns indicated a preventive effect of those parameters. The FFS pattern was associated with significantly elevated insulin resistance among children and adolescents.

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016.

IntroductionIndividual’s early life style and health behaviors are directly linked to chronic non-communicable diseases. Considering the increased burden of NCDs during the last two decades, the aim of this study is to assess co-occurrence/clustering of lifestyle risk factors and its association with different socio-demographic and economic characteristics among adult men and women in India from 2005–2016.MethodsThis study utilized the data from the National Family Health Survey 2005–06 and 2015–16 survey rounds. Multinomial logistic regression is employed to evaluate co-occurrence of multiple risk factors among adult men and women of different socio-economic and demographic characteristics to identify the subgroups with elevated risk of clustering of multiple unhealthy lifestyle risk factors.ResultsMore adult men in India tend to exhibit clustering of multiple non-communicable disease risk factors than females. Individuals between 30–49 years of age, residing in urban areas, the population with no education, separated couples and those from poor economic strata are the specific population subgroups show higher prevalence of co-occurrence of multiple risk factors. The regional pattern of clustering of risk factors shows that the prevalence of co-occurrence of multiple risk factors is higher among men and women from the North-Eastern part of India compared to the other regions of the country.ConclusionThe prevalence of clustering of multiple risk factors associated with chronic NCDs is substantially high and has increased between 2005–06 to 2015–16. India may therefore experience a significant increase in the burden of chronic non-communicable diseases in the coming years. We therefore conclude that appropriate strategies should be implemented by policy makers and the government to reduce the overall health burden of NCDs due to lifestyle habits.

A cross-sectional study of cardiovascular disease risk clustering at different socio-geographic levels in India

Despite its importance for the targeting of interventions, little is known about the degree to which cardiovascular disease (CVD) risk factors cluster within different socio-geographic levels in South Asia. Using two jointly nationally representative household surveys, which sampled 1,082,100 adults across India, we compute the intra-cluster correlation coefficients (ICCs) of five major CVD risk factors (raised blood glucose, raised blood pressure, smoking, overweight, and obesity) at the household, community, district, and state level. Here we show that except for smoking, the level of clustering is generally highest for households, followed by communities, districts, and then states. On average, more economically developed districts have a higher household ICC in rural areas. These findings provide critical information for sample size calculations of cluster-randomized trials and household surveys, and inform the targeting of policies and prevention programming aimed at reducing CVD in India.

Development of a Novel Clinical Decision Support System for Exercise Prescription Among Patients With Multiple Cardiovascular Disease Risk Factors.

Cardiovascular disease (CVD) risk factors cluster in an individual. Exercise is universally recommended to prevent and treat CVD. Yet, clinicians lack guidance on how to design an exercise prescription (ExRx) for patients with multiple CVD risk factors. To address this unmet need, we developed a novel clinical decision support system to prescribe exercise (prioritize personalize prescribe exercise [P3-EX]) for patients with multiple CVD risk factors founded upon the evidenced-based recommendations of the American College of Sports Medicine (ACSM) and American Heart Association. To develop P3-EX, we integrated (1) the ACSM exercise preparticipation health screening recommendations; (2) an adapted American Heart Association Life’s Simple 7 cardiovascular health scoring system; (3) adapted ACSM strategies for designing an ExRx for people with multiple CVD risk factors; and (4) the ACSM frequency, intensity, time, and time principle of ExRx. We have tested the clinical utility of P3-EX within a university-based online graduate program in ExRx among students that includes physicians, physical therapists, registered dietitians, exercise physiologists, kinesiologists, fitness industry professionals, and kinesiology educators in higher education. The support system P3-EX has proven to be an easy-to-use, guided, and time-efficient evidence-based approach to ExRx for patients with multiple CVD risk factors that has applicability to other chronic diseases and health conditions. Further evaluation is needed to better establish its feasibility, acceptability, and clinical utility as an ExRx tool.

Clustering of noncommunicable disease risk factors among adults (18–69 years) in rural population, South-India

Background and aimsNon-communicable diseases (NCDs) and its risk factors are increasing worldwide and in India. Controlling the rise in risk factors at present is crucial to prevent NCD surge in future. Current study was conducted to estimate the burden of clustering of NCD risk factors among adult population (18–69 years) residing in selected villages of rural Bengaluru, Karnataka MethodsPopulation based screening for NCD risk factors were carried out among adults in rural Bengaluru during May to October 2019. NCD risk factors were screened using WHO STEPwise approach to chronic disease risk factor surveillance (STEPs) instrument and Integrated Disease Surveillance Project (IDSP) NCD risk factor tool. Presence of three or more risk factors in same individual was considered as presence of clustering of NCD risk factors. Additional analysis was done for clustering of NCD risk factors with different number of risk factors. ResultsPrevalence of clustering of NCD risk factors in rural adult population was as follows; ≥2 risk factors 81.0%, ≥3 risk factors 56.3%, ≥4 risk factors 33.6%, ≥5 risk factors 14.5% and ≥6 risk factors 4.8%. The most common NCD risk factors were inadequate intake of fruits and vegetables (82.3%), physical inactivity (46.8%) and central obesity (46.4%). Clustering NCD risk factors were significantly associated with increased age, males and lower levels of education. ConclusionsHigh burden of clustering of risk factor indicates the need for health policies with integrated NCD risk factors prevention strategies than targeted approach. Awareness regarding the effect of clustering needs to be increased among the primary care physicians practising in rural areas.