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Do Hypertensive Individuals Who Are Aware of Their Disease Follow Lifestyle Recommendations Better than Those Who Are Not Aware?

ABSTRACT: Lifestyle modification is the first step in hypertension management. Our objective was to assess adherence to lifestyle recommendations by individuals who were aware of their hypertension and to identify characteristics associated with non-adherence. Using data from the Korea National Health and Nutrition Examination Survey conducted in 2010-2012, we compared the adherence to six lifestyle recommendations of hypertensive subjects aware of the status of their condition with that of those who were not aware, based on survey regression analysis. The characteristics associated with non-adherence were assessed by multiple logistic regression analysis. Of all hypertensive subjects, <20% adhered to a healthy diet and reduced salt intake and about 80% moderated alcohol consumption and did not smoke. Half of all subjects maintained normal body weight and engaged in physical activity. Most lifestyle features of aware hypertensive Koreans did not differ greatly from those of hypertensive individuals who were not aware. Reduction in salt intake was slightly more prevalent among those aware of their hypertensive status. Obesity was more prevalent among the aware hypertensive subjects, and the prevalence of obesity increased with the duration of hypertension. Male gender, younger age, residence in a rural area, low income, and the use of antihypertensive medication were associated with non-adherence to lifestyle recommendations by hypertensive individuals. Many hypertensive Koreans do not comply with lifestyle recommendations for the management of hypertension. The association between the use of antihypertensive medications and non-adherence suggested an over-reliance on medication rather than a commitment to a healthy lifestyle. Our study highlights that efforts encouraging healthy lifestyles, as the first step in hypertension management, need to be increased.

SUBMITTER: Kim Y

PROVIDER: S-EPMC4552668 | biostudies-other | 2015

REPOSITORIES: biostudies-other

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Project description:BackgroundThe 20% observed mortality within 5 years among survivors of myocardial infarction may be explained in part by non-adherence to the recommended treatment over the long term.Main objectiveTo investigate post-myocardial infarction patients' adherence to the therapeutic, lifestyle and risk factor control recommendations of the French health authority over 6 years.Materials and methodsA cohort of survivors of myocardial infarction established in Tours in 2009 was followed over 6 years. The general practitioner of the patients included in the first 1-year follow-up study was contacted to collect data on treatments, cardiovascular risk factors and lifestyle between January and June 2015. Data were described and compared with the recommendations and predictors of achieving all the recommended targets were determined.ResultsA total of 97 patients (52%) among the 185 patients who underwent a coronary angioplasty for MI were included at baseline. Treatment was adapted by the general practitioner on the advice on the cardiologist for 75% (73/97) patients, by both of them for 12% (12/97) and by the general practitioner alone for 7% (7/97) patients. Among the 97 initial patients, 62 were included in the final analysis at 6 years. Fatal events rate was 5% (5/97) at 1 year and 12% (11/91) at 6 years. Non-fatal events rate was 44% (43/97) at 6 months, 19% (17/91) at 1 year and 29% (18/62) at 6 years. Six years after the myocardial infarction, 6 (10%) patients achieved the recommended targets in terms of prescriptions of treatment, risk factors and lifestyle targets. Exposure to a cardiac rehabilitation program after a myocardial infarction was associated with long-term achievement of optimal therapeutic objectives (OR = 7.31 [95% CI 1.74; 44.88], p<0.002).ConclusionOur data show suboptimal long-term adherence to secondary prevention treatment in this high-risk population of survivors of myocardial infarction, which seems to be improved in patients exposed to a cardiac rehabilitation program.

Project description:BackgroundLifestyle interventions (diet, physical activity and/or behavioural) to optimise gestational weight gain can prevent adverse maternal outcomes such as gestational diabetes, pre-eclampsia and caesarean section.ObjectiveWe aimed to model the cost effectiveness of lifestyle interventions during pregnancy on reducing adverse maternal outcomes.MethodsDecision tree modelling was used to determine the cost effectiveness of lifestyle interventions compared with usual care on preventing cases of gestational diabetes and hypertensive disease in pregnancy. Participants were pregnant women receiving routine antenatal care in secondary and tertiary care hospitals. The main outcome measures were cases of gestational diabetes and/or hypertensive disease in pregnancy prevented, costs, and incremental cost-effectiveness ratios. Analysis was conducted from the perspective of the Australian healthcare system, with a time horizon of early pregnancy to discharge after birth.ResultsWomen in the intervention group were 2.25% less likely to have gestational diabetes and/or hypertensive disease in pregnancy (9.53%) compared with the control group (11.78%). Intervention costs were Australian dollars (AUD) 228 per person. Costs were AUD33 per person higher in the intervention group (AUD8281) than the control group (AUD8248). The incremental cost-effectiveness ratio was AUD1470 per case prevented. Sensitivity analysis showed that base-case results were robust. In the probabilistic sensitivity analysis, 44.8% of data points fell within the north-east quadrant, and 52.2% in the south-east quadrant (cost saving), with a 95% confidence interval ranging from AUD - 50,018 to 32,779 per case prevented.ConclusionsWhile there is no formally accepted cost-effectiveness threshold for willingness-to-pay to prevent an adverse maternal event, the cost per person receiving a lifestyle intervention compared with controls was close to neutral, and therefore likely to be cost effective. Exploration of the cost effectiveness of different lifestyle delivery modes across various models of antenatal care is now required. Future cost-effectiveness studies should investigate longer time horizons, quality-adjusted life-years and productivity loss.Trial registrationNot applicable.

Project description:Microbiome data have several specific characteristics (sparsity and compositionality) that introduce challenges in data analysis. The integration of prior information regarding the data structure, such as phylogenetic structure and repeated-measure study designs, into analysis, is an effective approach for revealing robust patterns in microbiome data. Past methods have addressed some but not all of these challenges and features: for example, robust principal-component analysis (RPCA) addresses sparsity and compositionality; compositional tensor factorization (CTF) addresses sparsity, compositionality, and repeated measure study designs; and UniFrac incorporates phylogenetic information. Here we introduce a strategy of incorporating phylogenetic information into RPCA and CTF. The resulting methods, phylo-RPCA, and phylo-CTF, provide substantial improvements over state-of-the-art methods in terms of discriminatory power of underlying clustering ranging from the mode of delivery to adult human lifestyle. We demonstrate quantitatively that the addition of phylogenetic information improves effect size and classification accuracy in both data-driven simulated data and real microbiome data. IMPORTANCE Microbiome data analysis can be difficult because of particular data features, some unavoidable and some due to technical limitations of DNA sequencing instruments. The first step in many analyses that ultimately reveals patterns of similarities and differences among sets of samples (e.g., separating samples from sick and healthy people or samples from seawater versus soil) is calculating the difference between each pair of samples. We introduce two new methods to calculate these differences that combine features of past methods, specifically being able to take into account the principles that most types of microbes are not in most samples (sparsity), that abundances are relative rather than absolute (compositionality), and that all microbes have a shared evolutionary history (phylogeny). We show using simulated and real data that our new methods provide improved classification accuracy of ordinal sample clusters and increased effect size between sample groups on beta-diversity distances.

Project description:BackgroundIn this study, we tested the efficacy of a low-intensity lifestyle intervention aimed at reducing the risk of cardiovascular disease among mid-life individuals.MethodsWe conducted a randomized controlled trial in which participants were randomly assigned either to receive a health report card with counselling (from a Telehealth nurse) on smoking, exercise, nutrition and stress or to receive usual care. The patients were divided into 2 groups on the basis of risk: the primary prevention group, with a Framingham risk score of 10% or higher (intervention, n = 157; control, n = 158), and the secondary prevention group, who had a diagnosis of coronary artery disease (intervention, n = 153; control, n = 143). The primary outcome was a change in the Framingham global risk score between baseline and 1-year follow-up. Data were analyzed separately for the 2 prevention groups using an intention-to-treat analysis controlling for covariates.ResultsWithin the primary prevention group, there were statistically significant changes for the treatment group relative to the controls, from baseline to year 1, in Framingham score (intervention, -3.10 [95% confidence interval (CI) -3.98 to -2.22]; control, -1.30 [95% CI -2.18 to -0.42]; p < 0.01) and scores for total cholesterol (intervention, -0.41 [95% CI -0.59 to -0.23]; control, -0.14 [95% CI -0.32 to 0.04]; p < 0.05), systolic blood pressure (intervention, -7.49 [95% CI -9.97 to -5.01]; control, -3.58 [95% CI -6.08 to -1.08]; p < 0.05), nutrition level (intervention, 0.30 [95% CI 0.13 to 0.47]; control, -0.05 [95% CI -0.22 to 0.12]; p < 0.01), and health confidence (intervention, 0.20 [95% CI 0.09 to 0.31]; control, 0.04 [95% CI -0.07 to 0.15]; p < 0.05), with adjustment for covariates. No significant changes in outcome variables were found for the secondary prevention group.InterpretationWe found evidence for the efficacy of an intervention addressing multiple risk factors for primary prevention at 1 year using Framingham risk score report cards and telephone counselling. (Requirement for clinical trial registration waived [enrolment completed before requirement became applicable].).

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Do Hypertensive Individuals Who Are Aware of Their Disease Follow Lifestyle Recommendations Better than Those Who Are Not Aware?

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