Effects of circadian cortisol on the development of a health habit.

2017 ◽  
Vol 36 (11) ◽  
pp. 1059-1064 ◽  
Author(s):  
Marion Fournier ◽  
Fabienne d'Arripe-Longueville ◽  
Carole Rovere ◽  
Christopher S. Easthope ◽  
Lars Schwabe ◽  
...  
Keyword(s):  
Health Habit

Intervention to Modify Habits: A Scoping Review

2019 ◽  
Vol 40 (2) ◽  
pp. 99-112
Author(s):  
Heather Fritz ◽  
Yi-Ling Hu ◽  
Kevin Gahman ◽  
Chen Almacen ◽  
Jon Ottolini
Keyword(s):  
Peer Review ◽  
Scoping Review ◽  
Habit Formation ◽  
Randomized Control Trials ◽  
Health Habits ◽  
Current State ◽  
Health Habit ◽  
Two Measures ◽  
Randomized Control ◽  
Improve Health

Intervening to change clients’ habits in the course of their everyday occupations could improve health. Habit formation interventions are an emerging area of science, however, and there is a need to better understand the current state of habit intervention research. The objective of this study is to examine the evidence related to habit formation interventions to modify health habits among adults. We performed a scoping review of peer-review articles published since January 1, 2008. The majority of the 18 studies included in the review were randomized control trials using one of two measures to assess habit change. Studies targeted a range of habits. Trial results were mixed but supportive of habit formation approaches. Through habit formation interventions, a range of everyday behaviors can become a habit. Occupational therapy professionals can use data and results generated from this review to inform the development of occupation-based habit formation treatments.

Health-habit modification.

1981 ◽  
Vol 36 (2) ◽  
pp. 218-219
Author(s):  
Arnold Hyman
Keyword(s):  
Health Habit ◽  
Habit Modification

Survey suggests rise in health habit complacency

JAMA ◽  
1993 ◽  
Vol 269 (16) ◽  
pp. 2061-2062 ◽  
Author(s):  
C. Marwick
Keyword(s):  
Health Habit

Experimental test of a planning intervention for forming a ‘higher order’ health-habit

2019 ◽  
Vol 34 (11) ◽  
pp. 1328-1346
Author(s):  
L. Alison Phillips ◽  
Madeline Johnson ◽  
Kimberly R. More
Keyword(s):  
Experimental Test ◽  
Higher Order ◽  
Health Habit ◽  
Planning Intervention

Abstract 267: Prevalence of High Health-Habit Achievers Among Middle School Children and Associated Measures of Cardiovascular Health: A Report from Project Healthy Schools

2013 ◽  
Vol 6 (suppl_1) ◽  
Author(s):  
Ashley Stasiak ◽  
Michelle March ◽  
Roopa Gurm ◽  
Anne Jones ◽  
Rachel Sylvester ◽  
...  
Keyword(s):  
Screen Time ◽  
Fruits And Vegetables ◽  
Cardiovascular Health ◽  
Time Behavior ◽  
Health Habits ◽  
Health Habit ◽  
Healthy Schools ◽  
Chi Square Analysis ◽  
Cardiovascular Profile ◽  
Health Parameters

Background: Studies show that maintaining a low-risk cardiovascular profile throughout life leads to significantly lower levels of cardiovascular disease (CVD), an improved quality of life, and markedly longer survival. Early education is therefore imperative to teach children about healthy lifestyle choices and reducing potential cardiovascular risk. This study reports the prevalence of “high health-habit achievers” (HHHA) among our baseline population and examines cardiovascular health parameters as a function of behavior between HHHA and their peers. Methods: Data was collected from 3,999 sixth grade students including: 24-hour food and 7-day physical activity recalls, typical screen time behavior, and cardiovascular parameters. Students were separated into two cohorts based on their reported number of high health-habits. HHHA were defined as those students who met 4/5 health-habits promoted by Project Healthy Schools (PHS) including: < 2 hours of screen time/day, < 1 unhealthy beverages/day, < 1 fried, fatty or sweet foods/day, > 5 sessions of moderate (30 min) or vigorous (20 min) activity/week, > 5 servings of fruits and vegetables/day. Those not considered HHHA were labeled “Other.” Health parameters were then compared between cohorts using chi-square analysis. Results: The percentage of HHHA at baseline was 10.4 % (415/3999). The HHHA differed significantly from their peers and expressed more favorable health parameters: HDL (p = 0.006), random glucose (p = 0.040), weight (p = 0.008), and recovery heart rate (p ≤0.001) (Figure). Conclusions: The prevalence of students achieving four out of five of the high heath-habits, at baseline, was extremely low. The cardiovascular profiles of the HHHA proved to be more favorable than Other in four parameters known to reflect overall cardiovascular health. This suggests that even at a young age, an increasing number of high health habits may be associated with a better cardiovascular profile and provides support, furthermore, for the goals promoted by PHS.

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