• Nutrition Research and Practice
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• v.8 no.1
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• pp.94-102
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• 2014

Diet attrition and failure of long term treatment are very frequent in obese patients. This study aimed to identify pre-treatment variables determining dropout and to customise the characteristics of those most likely to abandon the program before treatment, thus making it possible to modify the therapy to increase compliance. A total of 146 outpatients were consecutively enrolled; 73 patients followed a prescriptive diet while 73 followed a novel brief group Cognitive Behavioural Treatment (CBT) in addition to prescriptive diet. The two interventions lasted for six months. Anthropometric, demographic, psychological parameters and feeding behaviour were assessed, the last two with the Italian instrument VCAO Ansisa; than, a semi-structured interview was performed on motivation to lose weight. To identify the baseline dropout risk factors among these parameters, univariate and multivariate logistic models were used. Comparison of the results in the two different treatments showed a higher attrition rate in CBT group, despite no statistically significant difference between the two treatment arms (P = 0.127). Dropout patients did not differ significantly from those who did not dropout with regards to sex, age, Body Mass Index (BMI), history of cycling, education, work and marriage. Regardless of weight loss, the most important factor that determines the dropout appears to be a high level of stress revealed by General Health Questionnaire-28 items (GHQ-28) score within VCAO test. The identification of hindering factors during the assessment is fundamental to reduce the dropout risk. For subjects at risk, it would be useful to dedicate a stress management program before beginning a dietary restriction.

• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.9-17
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• 2017

The student dropout prediction is an indispensable for many intelligent systems to measure the educational system and success rate of all university. Therefore, in this paper, we propose an intelligent dropout prediction system that minimizes the situation by adopting the proactive process through an effective model that predicts the students who are at risk of dropout. In this paper, the main data sets for students dropout predictions was used as questionnaires and university information. The questionnaire was constructed based on theoretical and empirical grounds about factor affecting student's performance and causes of dropout. University Information included student grade, interviews, attendance in university life. Through these data sets, the proposed dropout prediction model techniques was classified into the risk group and the normal group using statistical methods and Naive Bays algorithm. And the intelligence dropout prediction system was constructed by applying the proposed dropout prediction model. We expect the proposed study would be used effectively to reduce the students dropout in university.

• Journal of the Korean Dietetic Association
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• v.27 no.4
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• pp.248-262
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• 2021

This study examined the effect of the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet of the Korean multi-domain dementia prevention program on the cognitive functions of the elderly with dementia risk factors. We developed the program including nutrition, exercise, cognitive training, vascular disease prevention, and motivation. One- hundred and fifty-three participants aged 60~79 years with at least 1 dementia risk factor were randomly assigned in a 1:1:1 ratio to the facility-based intervention (FMI), home-based intervention (HMI), and the control group. The nutrition education program consisted of 10 classes over 24 weeks: the FMI received 7 group sessions and three 1:1 sessions, the HMI received 4 group sessions and three 1:1 sessions with 3 homework sessions. The Nutrition Quotient for Elderly (NQ-E) and the Mini Nutritional Assessment (MNA) were used to evaluate nutritional status. The Repeatable Battery for the Assessment Neuropsychological Status (RBANS), Korean Mini-Mental State Examination (K-MMSE), and the Cognitive Complaint Interview (CCI) were used to evaluate cognitive functions. A total of 136 people completed the program with an 11.1% dropout rate. The NQ-E (P=0.009) and RBANS (P=0.001) scores significantly increased in the FMI (N=45) and HMI (N=49) groups compared to the control group (N=42) after the study. The changes in the score of MNA and CCI did not differ significantly between groups. In conclusion, the nutritional intervention which focused on the MIND diet as a part of a multi-domain intervention program had a positive effect on the improvement of healthy eating habits and cognitive function scores in the high-risk dementia group.