Valuing good health: An estimate of costs and savings for the healthy families act

2005 ◽  
Author(s):  
Vicky Lovell
Keyword(s):  
Good Health

Health Communication: Implications for Diverse Populations

2011 ◽  
Vol 18 (1) ◽  
pp. 12-19
Author(s):  
Amy Hasselkus
Keyword(s):  
Health Care ◽  
Health Communication ◽  
Negative Impact ◽  
Linguistically Diverse ◽  
Good Health ◽  
The United States ◽  
Poor Health ◽  
Health Care Decisions ◽  
Diverse Backgrounds ◽  
Health Related

The need for improved communication about health-related topics is evident in statistics about the health literacy of adults living in the United States. The negative impact of poor health communication is huge, resulting in poor health outcomes, health disparities, and high health care costs. The importance of good health communication is relevant to all patient populations, including those from culturally and linguistically diverse backgrounds. Efforts are underway at all levels, from individual professionals to the federal government, to improve the information patients receive so that they can make appropriate health care decisions. This article describes these efforts and discusses how speech-language pathologists and audiologists may be impacted.

Validity of the Elderly Behavior Assessment for Relatives (EBAR)

2000 ◽  
Vol 16 (1) ◽  
pp. 77-83 ◽  
Author(s):  
Lina Pezzuti ◽  
Caterina Laicardi ◽  
Marco Lauriola
Keyword(s):  
Cognitive Functioning ◽  
Mini Mental State Examination ◽  
Rating Scale ◽  
Good Health ◽  
The Elderly ◽  
Behavior Assessment ◽  
Elderly Persons ◽  
Behavior Rating Scale ◽  
Components Analysis ◽  
State Examination

Summary: An Elderly Behavior Assessment for Relatives (EBAR), updating the GERRI ( Schwartz, 1983 ), was administered to relatives (or significant others) of 349 elderly persons, from 60 to over 80 years of age, living at home, in good health and without cognitive impairment. A trained psychologist administered subjects the Life Satisfaction for Elderly Scale (LSES), the Instrumental Activity of Daily Living (IADL), the Mini Mental State Examination (MMSE), and personally answered to an overall elderly behavior rating scale (RA). EBAR items were first examined. The more attractive and less discriminative statements were excluded. A principal components analysis was carried out on the remaining EBAR items. Three factors were extracted. After varimax rotation they were tentatively labeled: Everyday Cognitive Functioning, Depression, and Hostility. Factor-driven EBAR subscales were designed, taking into account simpler items in the factor matrix. Results provide evidence for EBAR construct validity. Everyday Cognitive Functioning is connected to the IADL and the RA scores; Depression is very highly related to the LSES; Hostility is weakly related to RA, IADL, and MMSE, indicating that the scale needs further investigation.

Prevalence and Predictors of Fruit Intake Among Community College Women in the Extended Opportunity Program and Services

2003 ◽  
Vol 1 (1) ◽  
pp. 91-102 ◽  
Author(s):  
Steve E. Shive ◽  
Michelle R. Neyman
Keyword(s):  
Community College ◽  
Weight Loss ◽  
Regression Analysis ◽  
College Women ◽  
Linear Regression Analysis ◽  
Good Health ◽  
Fruit Intake ◽  
Attitudes And Behaviors ◽  
Eating Fruit ◽  
Opportunity Program

This study examined fruit intake among 276 female Extended Opportunity Program and Services (EOPS) community college students. Knowledge, attitudes, and behaviors associated with fruit intake were determined. The attitudes which are potential predictors of daily fruit intake were also examined. Analysis showed that 33% ate fewer than the minimum recommended two daily servings of fruit. Students reported that fruit gave them energy, taste and cost were not barriers to consumption and that it would not be difficult to increase daily fruit consumption. A linear regression analysis revealed that beliefs that eating fruit leads to good health, having a habit of eating fruit, feeling energy, and weight loss accounted for 30% of the variance in fruit intake.

Glucose Calibration Modeling in Blood with Spline Regression Approaching to Non-Invasive Tools

2018 ◽  
pp. 144-149
Author(s):  
Ria Hayatun Nur ◽  
Indahwati A ◽  
Erfiani A
Keyword(s):  
Diabetes Mellitus ◽  
Linear Regression ◽  
Good Health ◽  
Cubic Spline ◽  
The Body ◽  
Spline Regression ◽  
Linear Quadratic ◽  
Important Thing ◽  
Non Invasive

In this globalization era, health is the most important thing to be able to run various activities. Without good health, this will hinder many activities. Diabetes mellitus is one of the diseases caused by unhealty lifestyle.There are many treatments that can be done to prevent the occurrence of diabetes. The treatments are giving the insulin and also checking the glucose rate to the patients.Checking the glucose rate needs the tools which is safety to the body. This research want to develop non invasive tool which is safety and do not injure the patient. The purpose of this research is also finding the best model which derived from Linear, Quadratic, and Cubic Spline Regression. Some respondents were taking to get the glucose measuring by invasive and non invasive tools. It could be seen clearly that Spline Linear Regression was the best model than Quadratic and Cubic Spline Regression. It had 70% and 33.939 for R2 and RMSEP respectively.

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