Cardiovascular diseases (CVD) are the second leading cause of death in Canada with many modifiable risk factors. Pharmacists at a Canadian university delivered a novel CVD risk management program, which included goal-setting and medication management. This study aimed to describe what CVD prevention goals are composed of in a workplace CVD risk reduction program, and how might these goals change over time. A longitudinal, descriptive qualitative study using a retrospective chart review of clinical care plans for 15 patients enrolled in a CVD prevention program. Data across 6 visits were extracted from charts (n = 5413 words) recorded from May 2019-November 2020 and analyzed using quantitative content analysis and descriptive statistics. Behavioural goals were most popular among patients and were more likely to change over the 12-month follow-up period, compared to health measure goals. Behavioural goals included goals around diet, physical activity (PA), smoking, medication, sleep and alcohol; health measure goals centered on weight measures, blood pressure (BP) and blood lipid levels. The most common behavioural goals set by patients were for diet (n = 11) and PA (n = 9). Over time, goals around PA, medication, alcohol and weight were adapted while others were added (e.g. diet) and some only continued. Patients experienced a number of barriers to their goal(s) which informed how they adapted their goal(s). These included environmental limitations (including COVID-19) and work-related time constraints. This study found CVD goal-setting in the pharmacist-led workplace wellness program was complex and evolved over time, with goals added and/or adapted. More detailed qualitative research could provide further insights into the patient-provider goal-setting experience in workplace CVD prevention.
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http://dx.doi.org/10.3390/ijerph20010846 | DOI Listing |
Diabetol Metab Syndr
December 2024
Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China.
Background: To investigate the associations between relative fat mass (RFM) and clinical outcomes in different glucose tolerance statuses and the modified effect of glucose tolerance status.
Methods: We analyzed 8,224 participants from a Chinese cohort study, who were classified into normal glucose status (NGT), prediabetes, and diabetes. Outcomes included fatal, nonfatal cardiovascular disease (CVD) events and all-cause mortality.
Trends Cardiovasc Med
December 2024
Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile.
The combination of moderate to vigorous physical activity with muscle-strengthening physical activity is increasingly recognized for its significant impact on cardiovascular health. This narrative review synthesizes current evidence to compare the cardiovascular benefits of combined physical activity versus singular forms, especially in primary prevention. The main focus is on hormonal, nervous, genetic, and molecular adaptations, critical mechanisms underlying the body's response to physical activity.
View Article and Find Full Text PDFCirculation
January 2025
Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute; and Emory University School of Medicine, Atlanta, GA (L.S.S.).
There is a new awareness of the widespread nature of metabolic dysfunction-associated steatotic liver disease (MASLD) and its connection to cardiovascular disease (CVD). This has catalyzed collaboration between cardiologists, hepatologists, endocrinologists, and the wider multidisciplinary team to address the need for earlier identification of those with MASLD who are at increased risk for CVD. The overlap in the pathophysiologic processes and parallel prevalence of CVD, metabolic syndrome, and MASLD highlight the multisystem consequences of poor cardiovascular-liver-metabolic health.
View Article and Find Full Text PDFEcotoxicol Environ Saf
December 2024
Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao 266071, China. Electronic address:
Machine learning exhibits excellent performance in terms of predictive power. We aimed to construct an interpretable machine learning model utilizing National Health and Nutrition Examination Survey data to investigate the relationship between heavy metal exposure and cardiovascular disease (CVD). A total of 4600 adults were included in the analysis.
View Article and Find Full Text PDFCureus
November 2024
Family Medicine, King Abdulaziz Medical City Jeddah, Jeddah, SAU.
Diabetes mellitus, particularly Type 2 diabetes (T2DM) remains a significant concern globally with an increase in prevalence reported in recent years. If diabetes is not managed properly, it can lead to several complications including an increased risk of cardiovascular disease (CVD). Cardiovascular complications such as coronary heart disease, peripheral artery disease, and stroke are common among individuals with diabetes.
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