Developing Healthy Eating Behaviors: Why Is It so Difficult?

2011 ◽  
Vol 111 (7) ◽  
pp. 977
Author(s):  
Linda Van Horn
2018 ◽  
Vol 20 (5) ◽  
pp. 675-683 ◽  
Author(s):  
Natoshia M. Askelson ◽  
Patrick Brady ◽  
Grace Ryan ◽  
Cristian Meier ◽  
Cristina Ortiz ◽  
...  

School-based interventions can play an important role in improving childhood and adolescent nutrition and preventing obesity. Schools offer a unique opportunity to implement policy, systems, and environmental interventions targeting healthy eating behaviors. An intervention was piloted in six middle schools featuring behavioral economics–based changes to the lunchroom, communication training, and communicate cues for food service staff. The pilot study employed a multicomponent evaluation with students and food service directors and staff including a lunchroom assessment, online surveys, production records, and interviews. Five schools increased their scores on the lunchroom assessment tool, and four schools increased the number of servings produced of healthy food items. Interviews with food service directors indicated the interventions was feasible and well received. School-based policy, systems, and environmental interventions targeting healthy eating behaviors may play a role in preventing obesity in children and adolescents.


2019 ◽  
Vol 31 (1) ◽  
pp. 217-246 ◽  
Author(s):  
EunHa Jeong ◽  
SooCheong (Shawn) Jang ◽  
Carl Behnke ◽  
James Anderson ◽  
Jonathon Day

Purpose The purpose of this study is to explore the dimensions of restaurant customers’ engagement or disengagement with healthy eating in terms of individual and environmental factors to develop a scale. The results identified the underlying constructs of customers’ individual motives for and perceived barriers to healthy eating, as well as environmental elements of restaurants that encourage or discourage healthy eating. Design/methodology/approach To develop an appropriate set of measures to assess factors influencing customers’ healthy eating behaviors at restaurants, the current study undertook the five steps of scale development suggested by Churchill (1979): specifying the domain of constructs, generating a pool of initial measurement items, assessing content adequacy, administering questionnaires (an online survey method) and purifying and finalizing the measurement (via exploratory factor analysis (EFA) using 410 samples and confirmatory factor analysis (CFA) using 423 samples). Findings The results revealed ten individual factors (health, body image, weight control, feeling better, unappealing food, cost perception, lack of knowledge, state of mind (stress), lack of self-control and negative influences) and five environmental factors (healthy indications, social impact, availability of healthy menu, price policy and unhealthy indications) influencing customers’ healthy eating behaviors at restaurants. Originality/value This study developed an appropriate set of measures to assess individual and environmental factors influencing restaurant customers’ healthy eating behaviors, along with identifying underlying sub-constructs. The reliability and validity of the scale and the factor structure are presented and potential applications and theoretical contributions of the scale are provided as well.


Author(s):  
Pachanut NUNTHAITAWEEKUL ◽  
Junpen PANSUP

Unhealthy eating behaviors are one of the major causes of Coronary vascular disease (CVD). The self-management program combined with social support (CIP) was implemented to improve the patients’ self-management ability and maintain their eating behaviors to a healthier standard. The purpose of this study was to compare the scores of self-management and healthy eating behaviors of patients with CVD in the experimental CIP group before and after participation in the CIP. It also compared self-management and healthy eating behavior scores between patients with CVD who entered the CIP with the usual nursing care group. This study was a quasi-experimental approach with 2 groups of pre-and post-tests. The sample size of 50 cases, 25 in each group, was considered for the study. Questionnaires were used to assess the patient’s self-management and healthy eating behavior scores. Descriptive statistics, dependent t-test, and independent t-test were used for the data analysis. The findings revealed that the experimental group showed a significantly (p < 0.05) increased average self-management (46.2 ± 5.6 to 51.1 ± 5.9) and healthy eating behaviors (39.3 ± 5.5 to 48.4 ± 4.0) scores after the program than before. They also had a significantly (p < 0.05) higher self-management and healthy eating behavior scores than the control group (51.1 ± 5.9 vs. 48.9 ± 6.0 and 48.4 ± 4.0 vs. 39.8 ± 7.5, respectively). This program increased the patients’ self-management scores, and consequentially their healthy eating behaviors score also improved.   Keywords: The self-management program, social support, Cardiovascular disease, self-management, healthy eating behaviors


Sign in / Sign up

Export Citation Format

Share Document