The Vermont health risk survey and the design of community wide preventive health programs

1985 ◽  
Vol 10 (2) ◽  
pp. 67-80 ◽  
Author(s):  
Lloyd F. Novick ◽  
David Jillson ◽  
Roberta Coffin ◽  
Mary Freedman
Keyword(s):  
Health Risk ◽  
Preventive Health ◽  
Health Programs ◽  
Preventive Health Programs

Transfer of preventive health programs to physicians' practices through medical organizations

1998 ◽  
Vol 14 (1) ◽  
pp. 25-30 ◽  
Author(s):  
Roselyn P. Epps ◽  
Marc W. Manley ◽  
Corinne G. Husten ◽  
Thomas P. Houston ◽  
L.Robert Martin ◽  
...  
Keyword(s):  
Preventive Health ◽  
Health Programs ◽  
Preventive Health Programs

scholarly journals Możliwości kształtowania postaw zdrowotnych dzieci i młodzieży w Polsce

2012 ◽  
pp. 147-157
Author(s):  
Aleksandra Czerw
Keyword(s):  
Health Care ◽  
Healthy Lifestyle ◽  
Health Behaviours ◽  
Holistic Approach ◽  
Preventive Health ◽  
Health Programs ◽  
Health Determinants ◽  
Personal Health ◽  
Preventive Actions ◽  
Preventive Health Programs

Lifestyle, environment, genetics and usage of health care are the classical health determinants. Each of these factors influences personal health to certain degree. Lifestyle has the biggest impact (50–52%), followed by environment (18–20%), genes (15–20%) and finally usage of health care (10–15%). Acknowledgement of negative health behaviours as key reason for diseases of modern civilization formed the basis for many preventive actions. Implementation of preventive health programs is aimed at shaping healthy lifestyle and healthy behaviours in society. The objective of this article is to present links between social marketing and possibilities to influence healthy behaviours of kids and youth. Necessity for holistic approach to health and examples of healthy behaviours of kids and young people in Poland are discussed.

scholarly journals PRS11 The Short-Term Economic Impact of Three Childhood Preventive Health Programs in Israel

2012 ◽  
Vol 15 (7) ◽  
pp. A561
Author(s):  
N. Keller ◽  
P. Vo ◽  
R. Sambrook ◽  
K. Gooch ◽  
R.M. Kendall ◽  
...  
Keyword(s):  
Economic Impact ◽  
Preventive Health ◽  
Health Programs ◽  
Short Term ◽  
Preventive Health Programs

Adoption of a preventive health program via website versus mobile phone app across neighborhoods with different socioeconomic conditions in the Netherlands: cross-sectional study (Preprint)

2021 ◽  
Author(s):  
Elena Agachi ◽  
Tammo H A Bijmolt ◽  
Jochen O Mierau ◽  
Koert van Ittersum
Keyword(s):  
The Netherlands ◽  
Mobile Phone ◽  
Health Program ◽  
Preventive Health ◽  
Health Programs ◽  
Controlled Study ◽  
Cross Sectional ◽  
Socioeconomic Groups ◽  
Program Adoption ◽  
Preventive Health Programs

BACKGROUND Socioeconomic disparities in the adoption of preventive health programs represent a well-known challenge, with programs delivered online serving as a potential solution. The preventive health program examined in this study is a large-scale, open access online platform operating in the Netherlands, aimed at improving the health behaviors and wellness of its participants. OBJECTIVE This study examines differences in adoption of an online preventive health program across socioeconomic groups, whereby comparing between its two delivery means: website versus mobile phone app. METHODS The 83,466 participants in this cross-sectional, non-experimental study are individuals who have signed up for the health program between July 2012 and September 2019. The rate of program adoption per delivery means is estimated using the Prentice, Williams and Peterson Gap-Time model (PWP-GT), with the measure of neighborhood socio-economic status (NSES) employed to distinguish between population segments with different socioeconomic characteristics. Registration to the health program is voluntary and free, not within a controlled study setting, allowing for observing the true rate of adoption. RESULTS The estimation results indicate that program adoption across socioeconomic groups varies depending on program’s delivery means. For the website version, higher NSES groups have a higher likelihood of program adoption compared to the lowest NSES group (hazard ratio [HR]=1.03; 95% confidence interval [CI]=1.01, 1.05). For the mobile phone app version, the opposite holds: higher NSES groups have a lower likelihood of program adoption compared to the lowest NSES group (HR=0.94; 95% CI=0.91, 0.97). CONCLUSIONS Promoting preventive health programs using mobile phone apps can help increase program adoption among the lowest socioeconomic segment. Given the increasing usage of mobile phones among the disadvantaged population groups, structuring future health interventions to include mobile phone apps as means of delivery can support the stride towards diminishing health disparities.

scholarly journals Preventive health programs for dairy cattle

1996 ◽  
pp. 42-45
Author(s):  
Gerald L. Stokka ◽  
John F. Smith ◽  
James R. Dunham ◽  
Anne T. Van
Keyword(s):  
Dairy Cattle ◽  
Preventive Health ◽  
Health Programs ◽  
Preventive Health Programs

scholarly journals The Short-Term Economic Impact Of Childhood Preventive Health Programs In Mexico

2014 ◽  
Vol 17 (3) ◽  
pp. A172-A173 ◽  
Author(s):  
V.H. Jurado Hernandez ◽  
J.L. Sanchez-Casillas ◽  
P. Vo ◽  
A.J. Laws ◽  
K.L. Gooch ◽  
...  
Keyword(s):  
Economic Impact ◽  
Preventive Health ◽  
Health Programs ◽  
Short Term ◽  
Preventive Health Programs

Adolescent Mothers and Fetal Loss, What is Learned from Experience?

1984 ◽  
Vol 55 (3) ◽  
pp. 775-778 ◽  
Author(s):  
Peggy B. Smith ◽  
Maxine Weinman ◽  
L. Russell Malinak
Keyword(s):  
Prenatal Care ◽  
Adolescent Mothers ◽  
Young Women ◽  
Economic Status ◽  
Fetal Loss ◽  
Preventive Health ◽  
Health Programs ◽  
Socio Economic Status ◽  
Preventive Health Programs

73 gravida I adolescent mothers and 93 gravida III adolescent mothers of low socio-economic status were compared to verify that a higher rate of fetal loss exists with parity. Gravida III adolescent mothers had only a 45 % chance of having all three children living compared to the 95% of gravida I adolescent mothers. Moreover, gravida III adolescent mothers used prenatal care and preventive health programs less frequently than their gravida I counterparts. Most problems with babies also occurred more frequently with gravida III young women.

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