scholarly journals Impact of Social Position on the Effect of Cardiovascular Risk Factors on Self-Rated Health

2009 ◽  
Vol 99 (7) ◽  
pp. 1278-1284 ◽  
Author(s):  
Cyrille Delpierre ◽  
Valérie Lauwers-Cances ◽  
Geetanjali D. Datta ◽  
Lisa Berkman ◽  
Thierry Lang
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Social Position ◽  
Self Rated Health

Abstract P057: Clusters of Cardiovascular Risk Factors Predict Incidence of Type 2 Diabetes in Men and Women: A Swedish Population-based Study

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Charlotte A Larsson ◽  
Bledar Daka ◽  
Margareta I Hellgren ◽  
Maria C Eriksson ◽  
Lennart Råstam ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Population Based ◽  
Population Based Study ◽  
Men And Women ◽  
Self Rated Health

Introduction: Clusters of metabolic variables and their effects on incidence of type 2 diabetes have been studied previously; however, little is known about the effects on diabetes from risk factor clusters including lifestyle and self-rated health. Hypothesis: We assessed the hypothesis that clusters of common cardiovascular risk factors, including lifestyle and self-rated health, can predict development of type 2 diabetes in men and women, respectively. Methods: In 2002-2005, 2816 men and women, 30-74 years, were randomly selected from two municipalities in southwestern Sweden and assessed with regard to cardiovascular/metabolic risk factors within the Skaraborg Project (76% participation). Participants performed an OGTT, had blood samples drawn, had anthropometric measurements and blood pressure taken, and answered validated questionnaires about e.g. leisure-time physical activity (with four answer alternatives from intensive to sedentary) and self-rated health (with five alternatives from excellent to very poor). Using the same protocol, 1332 participants from the baseline survey where re-examined in 2011-2014. After excluding those with diabetes at baseline, 1268 participants were included in this prospective population-based study. Results: Factor analysis (using varimax rotation) identified significant loadings (≥0.40) on the following three identical factors in men and women: the metabolic factor , comprising HOMA-ir, WHR, systolic blood pressure, and apolipoprotein B-to-A1 ratio; the vitality factor , comprising physical activity and self-rated health; and the addiction factor , comprising smoking and alcohol consumption. After a mean follow-up of 9.7±1.4 years, 76 cases of diabetes were identified; 46 in men and 30 in women. In a logistic regression analysis adjusted for all principal components, age, and educational level, the metabolic factor significantly predicted type 2 diabetes in both men (OR: 3.3, CI: 2.3-5.0) and women (OR: 3.5, CI: 2.2-5.6). Furthermore, a predictive effect of the vitality factor was also seen in women (OR: 1.8, CI: 1.2-2.9), but not in men (OR: 1.1, CI: 0.8-1.6), whereas the addiction factor had no effect in either men or women. Conclusions: This is to our knowledge the first time principle components of cardiovascular risk factors, including both metabolic and lifestyle variables, have been used to predict incidence of type 2 diabetes. The gender difference observed with regard to the combined impact of self-rated health and physical activity are novel and indicates a mechanism beside the metabolic syndrome that warrants further gender-specific exploration in future studies.

scholarly journals Patient reported health status and cardiovascular risk factors in a remote area of South America: a cross-sectional study

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A E Holm ◽  
L Gomes ◽  
K O Lima ◽  
L O Matos ◽  
A Wegener ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Health Status ◽  
South America ◽  
Cardiovascular Risk Factors ◽  
Cardiovascular Health ◽  
Sport Activity ◽  
Self Rated Health ◽  
Patient Reported ◽  
Reported Health

Abstract Background Several studies have indicated that self-perception of health is related to cardiovascular disease. Despite cardiovascular disease is the leading cause of mortality in South America, the relationship between patient reported health and cardiovascular risk is sparsely explored, specifically in indigenous areas. Purpose We assessed if self-rated health is associated with cardiovascular risk factors in a remote area in South America. Methods We included participants by cluster-randomization of community health care clinics from June to December 2020. Sociodemographic variables and information on cardiovascular risk factors were collected by questionnaires and physical examination. All participants rated their present health status according to the validated EQ5D-VAS instrument, ranging from 0 (worst) to 100 (best). Results A total of 492 participants (mean age 41±15 years; 38% men) were included. The mean value of self-rated health was 80 (range 0 to 100) and the prevalence of cardiovascular risk factors were: Hypertension (19%), hypercholesterolemia (15%), smoking (37%), low intake of vegetables (defined as <3 times per week; 54%), no sport activity (62%), diabetes (6%) and obesity (24%). In logistic regression models adjusted for sex, age and socioeconomic status, higher self-rated health was significantly associated with lower risk of hypertension, hypercholesterolemia, smoking, obesity and greater vegetable intake (P<0.05; Figure 1). No association was found with sport activity or diabetes. The total number of cardiovascular risk factors increased with lower self-rated health (beta = 0.100 [0.04 to 0.15], P<0.001 per 10 decrease in self-reported health). Conclusion Self-rated health was significantly associated with a greater burden of cardiovascular risk factors and may influence ideal cardiovascular health. Future studies should assess if patient reported health status constitutes an independent risk factor for heart disease in this specific population, and studies elucidating gaps on self-perception of cardiovascular health are encouraged. FUNDunding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): The Independent Research Fund Denmark

scholarly journals Respective Mediating Effects of Social Position and Work Environment on the Incidence of Common Cardiovascular Risk Factors

2022 ◽  
Author(s):  
Nicolas Hoertel ◽  
Marina Sanchez Rico ◽  
Frédéric Limosin ◽  
Joël Ménard ◽  
Céline Ribet ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Work Environment ◽  
Structural Equation ◽  
Social Position ◽  
Equation Modeling ◽  
Mediating Effects ◽  
Parental History ◽  
Sleep Complaints

Background Social position and work environment are highly interrelated and their respective contribution to cardiovascular risk is still debated. Methods and Results In a cohort of 20 625 French workers followed for 25 years, discrete‐time survival analysis with reciprocal mediating effects, adjusted for sex, age, and parental history of early coronary heart disease, was performed using Bayesian structural equation modeling to simultaneously investigate the extent to which social position mediates the effect of work environment and, inversely, the extent to which work environment mediates the effect of social position on the incidence of common cardiovascular risk factors. Depending on the factor, social position mediates 2% to 53% of the effect of work environment and work environment mediates 9% to 87% of the effect of social position. The mediation by work environment is larger than that by social position for the incidence of obesity, hypertension, dyslipidemia, diabetes, sleep complaints, and depression (mediation ratios 1.32–41.5, 6.67 when modeling the 6 factors together). In contrast, the mediation by social position is larger than that by work environment for the incidence of nonmoderate alcohol consumption, smoking, and leisure‐time physical inactivity (mediation ratios 0.16–0.69, 0.26 when modeling the 3 factors together). Conclusions The incidence of behavioral risk factors seems strongly dependent on social position whereas that of clinical risk factors seems closely related to work environment, suggesting that preventive strategies should be based on education and general practice for the former and on work organization and occupational medicine for the latter.

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