Goal setting as a health behavior change strategy in overweight and obese adults: A systematic literature review examining intervention components

2012 ◽  
Vol 87 (1) ◽  
pp. 32-42 ◽  
Author(s):  
Erin S. Pearson
Keyword(s):  
Literature Review ◽  
Health Behavior ◽  
Behavior Change ◽  
Goal Setting ◽  
Systematic Literature Review ◽  
Health Behavior Change ◽  
Obese Adults ◽  
Change Strategy

scholarly journals Goal Setting and Action Planning for Health Behavior Change

2017 ◽  
Vol 13 (6) ◽  
pp. 615-618 ◽  
Author(s):  
Ryan R. Bailey
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Goal Setting ◽  
Action Planning ◽  
Health Behavior Change ◽  
Actual Behavior ◽  
Mastery Goals ◽  
Avoidance Goals ◽  
Goal Characteristics ◽  
Selection Of

Health behavior change is challenging for most individuals, but there are many strategies that individuals can use to facilitate their behavior change efforts. Goal setting is one such strategy that assists individuals to identify specific behaviors to change and how to go about doing so. For many, however, simply setting a goal seldom leads to actual behavior change. For some, identifying an appropriate goal is difficult, while for others, putting goals into action is the roadblock. Two strategies may be of assistance for setting and achieving goals. First, consideration of key goal characteristics (eg, approach vs avoidance goals, performance vs mastery goals, level of difficulty) may result in selection of more appropriate and feasible goals. Second, action planning can help individuals put goals into action. Clinicians can help patients utilize these strategies to set and achieve goals for health behavior change.

scholarly journals Modelling multiple health behavior change with network analyses: results from a one-year study conducted among overweight and obese adults

2020 ◽  
Vol 43 (2) ◽  
pp. 254-261 ◽  
Author(s):  
Guillaume Chevance ◽  
Natalie M. Golaszewski ◽  
Dario Baretta ◽  
Eric B. Hekler ◽  
Britta A. Larsen ◽  
...  
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Health Behavior Change ◽  
Obese Adults ◽  
Network Analyses ◽  
Multiple Health Behavior Change ◽  
One Year ◽  
Multiple Health

Goal Setting as a Strategy for Health Behavior Change

1995 ◽  
Vol 22 (2) ◽  
pp. 190-200 ◽  
Author(s):  
Victor J. Strecher ◽  
Gerard H. Seijts ◽  
Gerjo J. Kok ◽  
Gary P. Latham ◽  
Russell Glasgow ◽  
...  
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Goal Setting ◽  
Health Behavior Change

scholarly journals Personalization Dimensions for MHealth to Improve Behavior Change: A Scoping Review

2020 ◽  
Author(s):  
Laëtitia Gosetto ◽  
Frédéric Ehrler ◽  
Gilles Falquet
Keyword(s):  
Literature Review ◽  
Health Behavior ◽  
Behavior Change ◽  
Social Norms ◽  
Scoping Review ◽  
Need For Cognition ◽  
Health Behavior Change ◽  
Popular Support ◽  
Information Dimension ◽  
The Way

Due to the large number of smartphone users, mHealth has become a popular support to foster users’ health behavior change Personalization is an important factor to increase the effectiveness of mHealth interventions. Based on a literature review, we have listed and categorized personalization concepts associated with behavior change in mHealth into 4 dimensions, users, system functionalities, information, and app properties. The users dimension refers to user-related characteristics such as personality, player profile, need for cognition and perception of social norms. The system functionalities contain the functionalities that can be found in applications such as reminders as well as gamification functionalities such as collectibles. The information dimension concerns the way information is transmitted, such as the source of the message must be expert or the type of feedback to be provided. Finally, there are app properties such as the aesthetics of the application. For the next part, it would be interesting to discover the links we can make between the dimensions.

scholarly journals Goal setting for health behavior change: evidence from an obesity intervention for rural low-income women

2014 ◽  
Author(s):  
Amy Ries ◽  
Loneke Blackman ◽  
Rachel Page ◽  
Ziya Gizlice ◽  
Salli Benedict ◽  
...  
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Goal Setting ◽  
Low Income ◽  
Health Behavior Change ◽  
Obesity Intervention ◽  
Low Income Women

scholarly journals Effectiveness of a Mobile Health Behavior Change Intervention for Cancer Survivors with Overweight/Obesity: Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Jane C Walsh ◽  
Janice Richmond ◽  
Jenny McSharry ◽  
AnnMarie Groarke ◽  
Liam Glynn ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Cancer Survivors ◽  
Goal Setting ◽  
Intervention Group ◽  
Health Behavior Change ◽  
Behavior Change Intervention ◽  
Intervention Condition

BACKGROUND Cancer survivorship in Ireland is increasing in both frequency and longevity. However, a significant proportion of cancer survivors do not reach recommended physical activity levels and have overweight. This has health implications both physical and psychological, including increased risk of subsequent and secondary cancers. Mobile health (mHealth) interventions demonstrate potential for positive health behavior change, but there is little evidence for the efficacy of mobile technology to improve health outcomes in cancer survivors with overweight/obesity. OBJECTIVE This study sought to investigate whether a personalized mHealth behavior change intervention improved physical and psychological health outcomes in cancer survivors with overweight/obesity. METHODS A sample of 123 cancer survivors (body mass index ≥25 kg/m2) was randomly assigned to the standard care control (n=61) or intervention (n=62) condition. Group allocation was unblinded. The intervention group attended a 4-hour tailored lifestyle information and education session with physiotherapists, a dietician, and clinical psychologist to support self-management of health behavior. Over the following 12 weeks, participants engaged in personalized goal-setting to incrementally increase physical activity (with feedback and review of goals through short message service text messaging contact with the research team). Objective measures of physical activity were collected using a Fitbit accelerometer. Data on anthropometric, functional exercise capacity, dietary behavior, and psychological measures were collected at face-to-face assessments in a single hospital site at baseline (T0), 12 weeks (T1; intervention end), and 24 weeks (T2; follow-up). RESULTS Rates of attrition were 21% for the control condition and 14% for the intervention condition. Using intent-to-treat analysis significant reductions in body mass index (BMI) (F(2,242) = 4.149, p = .017, ηp2= .033) and waist circumference (F(2,242) = 3.342, p = .037, np2 = .027) were seen in the intervention group. Over the 24-week study BMI was reduced by 0.52 in the intervention condition, relative to a non-significant reduction of 0.11 in the control arm. Waist circumference reduced by 3.02cm in the intervention relative to 1.82cm in the control condition. High levels of attainment for step count goals were observed with significantly higher levels of physical activity recorded for participants in the intervention group post-intervention (t(105) =2.60, p=.011) and at follow-up (t(105) =2.43, p=.017), accounting for up to 1999 additional steps per day. CONCLUSIONS The results demonstrate that for cancer survivors with a BMI ≥ 25 lifestyle education and personalized goal-setting using mobile technology can yield significant change on clinically relevant health indicators. Further research is needed to elucidate to mechanisms for behavior change and explore the capacity for mHealth interventions to improve broader health and wellbeing outcomes in the growing population of cancer survivors. CLINICALTRIAL ISRCTN-18676721 https://doi.org/10.1186/ISRCTN18676721 INTERNATIONAL REGISTERED REPORT RR2-10.2196/13214

Predictors of Health Behavior Change in School-Based Obesity Prevention

2008 ◽  
Author(s):  
Kara Harrington ◽  
Maureen E. Kenny ◽  
Deirdre Brogan ◽  
Lynn Y. Walsh
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Obesity Prevention ◽  
Health Behavior Change ◽  
School Based
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