The sentence completion method in the analysis of students’ healthy behavior

Author(s):  
Anna Vladislavovna Chirkova ◽  
1982 ◽  
Vol 27 (4) ◽  
pp. 307-308
Author(s):  
Eric Button

2008 ◽  
Author(s):  
Susan M. Pennel ◽  
Susan B. Foerster ◽  
David Ginsburg ◽  
Sharon B. Sugerman ◽  
Lex Matteini ◽  
...  

1955 ◽  
Vol 19 (2) ◽  
pp. 154-154
Author(s):  
No authorship indicated
Keyword(s):  

1955 ◽  
Vol 39 (2) ◽  
pp. 139-139 ◽  
Author(s):  
Norman Gekoski ◽  
Eleanore S. Isard
Keyword(s):  

2020 ◽  
Author(s):  
Ayan Chatterjee ◽  
Ram Bajpai ◽  
Pankaj Khatiwada

BACKGROUND Lifestyle diseases are the primary cause of death worldwide. The gradual growth of negative behavior in humans due to physical inactivity, unhealthy habit, and improper nutrition expedites lifestyle diseases. In this study, we develop a mathematical model to analyze the impact of regular physical activity, healthy habits, and a proper diet on weight change, targeting obesity as a case study. Followed by, we design an algorithm for the verification of the proposed mathematical model with simulated data of artificial participants. OBJECTIVE This study intends to analyze the effect of healthy behavior (physical activity, healthy habits, and proper dietary pattern) on weight change with a proposed mathematical model and its verification with an algorithm where personalized habits are designed to change dynamically based on the rule. METHODS We developed a weight-change mathematical model as a function of activity, habit, and nutrition with the first law of thermodynamics, basal metabolic rate (BMR), total daily energy expenditure (TDEE), and body-mass-index (BMI) to establish a relationship between health behavior and weight change. Followed by, we verified the model with simulated data. RESULTS The proposed provable mathematical model showed a strong relationship between health behavior and weight change. We verified the mathematical model with the proposed algorithm using simulated data following the necessary constraints. The adoption of BMR and TDEE calculation following Harris-Benedict’s equation has increased the model's accuracy under defined settings. CONCLUSIONS This study helped us understand the impact of healthy behavior on obesity and overweight with numeric implications and the importance of adopting a healthy lifestyle abstaining from negative behavior change.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mikołaj Kamiński ◽  
Matylda Kręgielska-Narożna ◽  
Paweł Bogdański

Abstract Background Detection of the seasonal patterns of healthy and unhealthy behavior could be helpful for designing individual and population health interventions programs. This study investigates the seasonal variation in sales of common types of products in Poland and Polish Google queries related to healthy behavior. Methods Data of index sales from a large Polish retail store franchise, from January 2014 to August 2019, has been analyzed. The commercial data included twelve types of products. The interest of Google users was investigated using Google Trends statistics for the same period for six lifestyle-related topics. The seasonality was checked using time series analysis. Results Six of the consumer goods (dairy, ready-made meals, salty snacks, meats, beer, and cigarettes) were most commonly purchased in summer months, four (processed fish, food fats, wine, and alcohol 30%+) in December, and two (bread and sweets) in October. The lowest sales indexes were observed mostly in February. The interest in four topics that have been analyzed (“Diet,” “Dietitian,” “Weight loss,” and “Gym”), was highest in January, while interest in “Dietary supplements” was high in February, and “Running” in May. The search volume of the Google topics were the lowest in December. Conclusion The purchase of food, drinks, and cigarettes, and the interest in information regarding different components of a healthy lifestyle has seasonal variation. New Year and Lent might be good periods to encourage healthy behavior. The motivation may decrease in summer and during Christmas.


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