Optimism and Life Satisfaction as Determinants for Dental and General Health Behavior—Oral Health Habits Linked to Cardiovascular Risk Factors

2003 ◽  
Vol 82 (3) ◽  
pp. 194-199 ◽  
Author(s):  
P.V. Ylöstalo ◽  
E. Ek ◽  
J. Laitinen ◽  
M.L. Knuuttila
Keyword(s):  
Risk Factors ◽  
Life Satisfaction ◽  
Cardiovascular Risk ◽  
Health Behavior ◽  
Cardiovascular Risk Factors ◽  
Birth Cohort ◽  
General Health ◽  
Dental Health ◽  
Linear Regression Models ◽  
Dental Diseases

Oral infections and cardiovascular diseases share common biological and behavioral risk factors. Psychosocial determinants could act as a link between general health behavior and dental health behavior. Our objective was to study optimism and life satisfaction as determinants of general and dental health behavior and to evaluate whether these are connected with cardiovascular risk factors and dental diseases. The 1966 Northern Finland Birth Cohort (N = 12,058) is a general population birth cohort. In a postal questionnaire, respondents (N = 8690) were asked about their health behavior and dental status. Cardiovascular risk factors were assessed in health examinations (N = 6033). Generalized linear regression models were used in analysis. The results showed that health orientation increases with strengthening life satisfaction and optimism. Dental health behavior and general health behavior were associated with both cardiovascular risk factors and self-reported dental diseases, which support the assumption that they share a common behavioral background.

scholarly journals Life Course Models of Socioeconomic Position and Cardiovascular Risk Factors: 1946 Birth Cohort

2011 ◽  
Vol 21 (8) ◽  
pp. 589-597 ◽  
Author(s):  
Emily T. Murray ◽  
Gita D. Mishra ◽  
Diana Kuh ◽  
Jack Guralnik ◽  
Stephanie Black ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Life Course ◽  
Cardiovascular Risk Factors ◽  
Birth Cohort ◽  
Socioeconomic Position

Abstract 2346: Traditional Cardiovascular Risk Factors Explain Only Small Proportion of the Variation in Carotid Plaque

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Frank Kuo ◽  
Hannah Gardener ◽  
Chuanhui Dong ◽  
Digna Cabral ◽  
David Della-Morte ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Carotid Plaque ◽  
Subclinical Atherosclerosis ◽  
Cube Root ◽  
Linear Regression Models ◽  
Contributing Factors ◽  
Traditional Risk Factors ◽  
Best Fit

Background and Objectives: Subclinical atherosclerotic plaque is an important marker of increased vascular risk. Traditional risk factors explain less than 50% of the variance in atherosclerotic carotid plaque (ACP). Identifying factors underlying unexplained ACP, either deleterious or protective, may help targeting preventive strategies with significant scientific impact and health relevance. We aimed to identify individuals with unexplained subclinical ACP or unexplained protection against ACP using 2-D high-resolution B-mode carotid ultrasound. Methods: As a part of the NINDS carotid imaging project of the Northern Manhattan Study, 1,790 stroke-free individuals (mean age 69±9; 60% women; 61% Hispanic, 19% black, 18% white) were assessed for total ACP burden (TACP), the sum of plaque areas in all carotid arteries (mm 2 ) within an individual and transformed using a cube root function (x 1/3 ) for normality. Multiple linear regression models were conducted: (1) including pre-specified traditional risk factors (age, sex, LDL-cholesterol, diabetes, pack-years of smoking, blood pressure (BP), and treatment for BP); and (2) the best-fit model with addition of socioeconomic and less traditional factors including inflammation biomarkers and homocysteine. The standardized TACP residual scores were constructed from the best-fit regression model to select individuals with unexplained TACP. Results: Prevalence of carotid plaque was 58%. Mean TACP was 12.1±mm 2 before the x 1/3 transformation. Traditional model (model 1) explained 21% of the variance in TACP ( R 2 = 0.21). Age (15%), smoking (3%), systolic BP (1.2%), and diabetes (1%) were most contributing factors. The best-fit model (model 2) explained 23% of TACP, with most contribution by age (14%), smoking (3%), systolic BP (1%), fasting glucose (1%), LDL:HDL ratio (1%), diastolic BP (1%), homocysteine (1%) and white blood cell count (1%). Conclusion: Variation in subclinical carotid plaque is largely unexplained by traditional and novel risk cardiovascular risk factors. Identification of genetic and environmental factors underlying unexplained subclinical atherosclerosis is of utmost importance for successful prevention of cardiovascular disease and stroke.

scholarly journals Comparison of life course socioeconomic models for cardiovascular risk factors: 1946 birth cohort

2009 ◽  
Vol 63 (Suppl 2) ◽  
pp. 74-74
Author(s):  
E. T. Lemelin ◽  
G. Mishra ◽  
D. Kuh ◽  
J. Guralnik ◽  
S. Black ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Life Course ◽  
Cardiovascular Risk Factors ◽  
Birth Cohort

Report of Health Behavior Modification Among Latinos Diagnosed With Multiple Cardiovascular Risk Factors

Medical Care ◽  
2020 ◽  
Vol 58 (1) ◽  
pp. 59-64
Author(s):  
Tailisha M. Gonzalez ◽  
Bozena J. Katic ◽  
Leonell Torres-Págán ◽  
Anna Divney ◽  
Sandra E. Echeverria
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Health Behavior ◽  
Cardiovascular Risk Factors ◽  
Behavior Modification
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