Publications by authors named "Sangeeta Lachman"

Article Synopsis
  • The study assessed a secondary prevention program's impact on weight loss among overweight patients with coronary artery disease (CAD) using data from the RESPONSE-2 trial.
  • Intervention participants lost more weight than controls after 12 months, but individual results varied greatly, with a significant percentage gaining weight.
  • Factors influencing weight loss included age, education, motivation, and smoking status, highlighting that preventing weight gain is as crucial as promoting weight loss in this population.
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Objective: To compare the treatment effect on lifestyle-related risk factors (LRFs) in older (≥65 years) versus younger (<65 years) patients with coronary artery disease (CAD) in The Randomised Evaluation of Secondary Prevention by Outpatient Nurse SpEcialists 2 (RESPONSE-2) trial.

Methods: The RESPONSE-2 trial was a community-based lifestyle intervention trial (n=824) comparing nurse-coordinated referral with a comprehensive set of three lifestyle interventions (physical activity, weight reduction and/or smoking cessation) to usual care. In the current analysis, our primary outcome was the proportion of patients with improvement at 12 months follow-up (n=711) in ≥1 LRF stratified by age.

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Objective: The objective of this study was to investigate the characteristics of successful quitters, their use of a smoking cessation programme and the use of other lifestyle interventions to improve lifestyle-related risk factors, within a nurse-coordinated care programme.

Methods: We used data from the multicentre randomised controlled RESPONSE-2 trial ( n=824, The Netherlands). The trial was designed to assess the efficacy of nurse-coordinated referral to a comprehensive set of up to three community-based interventions, based on smoking cessation, healthy food choices and physical activity to improve lifestyle-related risk factors in coronary artery disease patients, compared to usual care.

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Background: Routine outpatient care of patients with coronary artery disease (CAD) lacks a simple measure of physical fitness and risk of mortality. Heart rate recovery (HRR) is noninvasive and easily obtainable in outpatient settings. Prior studies have suggested that delayed postexercise HRR in the first minutes is associated with mortality in several types of populations.

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Background There is broad consensus that regular physical activity yields major health benefits. However, current guidelines on physical activity are mainly aimed at middle-aged adults. It is unclear whether physical activity also translates into cardiovascular health benefits in older adults.

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Background: Among patients with coronary artery disease (CAD), improvement of lifestyle-related risk factors (LRFs) reduces cardiovascular morbidity and mortality. However, modification of LRFs is highly challenging.

Objectives: This study sought to evaluate the impact of combining community-based lifestyle programs with regular hospital-based secondary prevention.

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Article Synopsis
  • The study assessed the relationship between seven cardiovascular health metrics defined by the American Heart Association and the risk of cardiovascular events, using data from the EPIC-Norfolk prospective study involving over 10,000 participants.
  • Researchers found that individuals with a higher overall cardiovascular health score, which reflects better health across these metrics, had significantly lower risks of coronary heart disease, stroke, and cardiovascular disease.
  • The findings indicate that even minor improvements in health metrics can lead to major reductions in cardiovascular risk, highlighting the importance of maintaining a healthy lifestyle.
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Unlabelled: Patients with coronary artery disease (CAD) are at high risk of recurrent events. A healthy lifestyle can significantly reduce this risk. A previous trial, Randomized Evaluation of Secondary Prevention by Outpatient Nurse SpEcialists (RESPONSE), demonstrated that nurse-coordinated outpatient clinics improve drug treatment of cardiovascular risk factors.

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