scholarly journals An Information-Motivation-Behavioral Skills Analysis of Diet and Exercise Behavior in Puerto Ricans with Diabetes

2010 ◽  
Vol 15 (8) ◽  
pp. 1201-1213 ◽  
Author(s):  
Chandra Y. Osborn ◽  
K. Rivet Amico ◽  
William A. Fisher ◽  
Leonard E. Egede ◽  
Jeffrey D. Fisher
Author(s):  
Claudia N. Orozco-González ◽  
Laura Cortés-Sanabria ◽  
Roxana M. Marquez-Herrera ◽  
Fabiola Martín-del-Campo ◽  
Erika F. Gómez-García ◽  
...  

2010 ◽  
Author(s):  
Chandra Y. Osborn ◽  
K. Rivet Amico ◽  
William A. Fisher ◽  
Leonard E. Egede ◽  
Jeffrey D. Fisher

1987 ◽  
Author(s):  
James F. Sallis ◽  
Robin M. Grossman ◽  
Robin B. Pinski ◽  
Thomas L. Patterson ◽  
Philip R. Nader

2020 ◽  
Vol 4 (1) ◽  
pp. 21-31
Author(s):  
Corliss Bean ◽  
Tineke Dineen ◽  
Mary Jung

Interventions involving exercise and diet can reduce the progression of Type 2 diabetes, yet they are often short-lived. Progressing toward self-managed maintenance is also challenging. If supports are in place to help individuals with behavior changes beyond immediate programming, they are more likely to maintain these changes. This is particularly the case for women, who often struggle to maintain diet and exercise changes and can benefit from social support. Small Steps for Big Changes is a 3-week counseling program housed in a local YMCA that aims to help people make exercise and diet changes. To understand how to best support women in maintaining these changes beyond program delivery, a knowledge-sharing event was held for 14 women who completed the intervention. The women engaged in a focus group to share challenges they had experienced in making diet and exercise changes and recommendations for continued support. Data were analyzed using a thematic analysis, and three recommendation areas were identified: (a) establishing peer support networks, (b) creating platforms to communicate prediabetes-related information, and (c) providing ongoing trainer support. Several recommendations have been implemented to support these women, and other individuals, postprogram. This case provides insights and recommendations for integration of initiatives beyond delivery of a behavior-change program housed in a community organization.


1987 ◽  
Vol 57 (4) ◽  
pp. 150-156 ◽  
Author(s):  
Guy S. Parcel ◽  
Bruce G. Simons-Morton ◽  
Nancy M. O'Hara ◽  
Tom Baranowski ◽  
Lloyd J. Kolbe ◽  
...  

2021 ◽  
Vol 27 (1) ◽  
pp. 13-23
Author(s):  
Jihea Choi ◽  
Yon Chul Park ◽  
Sarah Choi

Purpose: This study aimed to develop a mobile-based self-management health alarm (MSHA) program for modifying obese children's lifestyle based on the information-motivation-behavioral skills (IMB) model and to test its feasibility. Methods: A methodological study for the development of the MSHA program and pilot study with a one-group pretest-posttest design for feasibility testing was conducted. The MSHA program was designed to provide obesity-related information (I), monitor daily diet and exercise, provide motivational text messages (M), and enhance healthy diet and exercise skills (B) via a mobile-based web platform. In the feasibility test, six obese children participated in the 4-week program, and the number of days per week that they achieved their goals and differences in metabolic components were assessed. Data were analyzed using descriptive statistics and the Wilcoxon signed-rank test.Results: Participants successfully achieved their diet and exercise goals≥5 days per week. Body mass index (z=-1.99, <i>p</i>=.046), waist circumference (z=-2.20, <i>p</i>=.028), and triglyceride levels (z=-2.21, <i>p</i>=.027) significantly decreased.Conclusion: The MSHA program showed positive effects on health behaviors and metabolic syndrome risk. The program may be effective in improving metabolic syndrome in obese children by promoting self-health management behaviors.


2021 ◽  
Author(s):  
ShiMing Huang ◽  
LianHong Wang ◽  
YunMei Guo ◽  
Xin Yan ◽  
Ying Liu ◽  
...  

UNSTRUCTURED Abstract Objective: We investigated the lifestyle management knowledge, attitudes and practice level among women with polycystic ovary syndrome and the diet and exercise behavior associated factors in China. Methods: A cross-sectional study using a structured questionnaire was conducted among women with polycystic ovary syndrome in the outpatient department of affiliated hospital of Zunyi Medical University, China, between June 2020 to December 2020. Stepwise multiple regression were used to identify factors affecting the diet and exercise behavior. Results: Overall 207 women with polycystic ovary syndrome participated in the study. More than 70% of participants reported good knowledge and positive attitude, while good health behavior in the participants reported is few in polycystic ovary syndrome management. Only 45.80% of participants got some health education information for polycystic ovary syndrome lifestyle management in the past. Among those, education from medical staff(25.12%), online courses(25.60%) and network media(26.09%) take the equal place to get information. While 61.48% of participants reported they want to get information through healthy management software in future. In addition, the stepwise multiple regression analysis indicated that many risk factors were found to be significant predictors of the diet and exercise behavior with PCOS. Conclusion: In conclusion, our study observes majority women with PCOS have adequate knowledge and positive attitude, while poor health behavior in PCOS management. It can be concluded that there is a big gap between knowledge, attitude and practice among women with polycystic ovary syndrome in life management.


2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.


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