Open Access Pub publishes peer-reviewed, free-to-read open-access articles. Showing
articles matching Dietary Habits — open any to read the full text,
or download the PDF or XML.
Mar 2017 DOI 10.14302/issn.2474-3585.jpmc-16-1161
There Is A Gap Between What We Know And What We Do, Such As Knowing What We Should Eat And What We Actually Eat, A So-Called “Attitude/Behavior Gap”. It Is Not Necessary To Go From A Change In Attitude To A Change In Behavior. It Is Possible To Do The Opposite; In Other Words, It Is Possible To Go From A Change In Behavior To A Change In Attitude. The Objective Of This Paper Is To Describe And Explain The Concept Of Dietary Advice On Prescription (DAP) And Present The Reasons And Evidences For The DAP Messages. Dietary Advice On Prescription (DAP) Starts With Discussing Behaviors Related To Dietary Habits And Then Goes From Behaviors Towards Attitudes. DAP Is A Theory-Based Pedagogical Model That Deals With Behaviors Related To Why, How And When We Eat, Rather Then What We Eat. The DAP Model Is A Method That Quickly Leads The Client Onto A Track That Yields Autonomy, Respects The Client’s Integrity, Gives Confirmation, Emphasizes The Delight And Pleasure Of Eating, Stimulates Discussions And Gives The Client The Initiative In These Discussions. In A Clinical Situation, The Counsellor Lays Out The DAP Postcards On A Table And The Client Picks One Card (Or Several) That Feels Relevant And Interesting For The Client To Discuss. Together They Make An Agenda For The Discussion Such As, For Instance, In What Order To Discuss The DAP Postcards. The Counsellor Asks In An Open Manner With A Motivational Interview (MI) Spirit Why The Client Has Chosen The Particular Card(S). The Client Explains, Elaborates, Turns And Twist About The Choices He/She Has Made. The Results Of The First Published Qualitative Study Of This Two-Year Randomized Controlled Trial Demonstrate That The Participants Found The Concept Valuable.
Apr 2024 DOI 10.14302/issn.2693-1176.ijgh-24-5036
According to the Japan’s National Health and Nutrition Survey, trends in the intake of vegetables and fruits (1999-2018), which are considered effective in preventing lifestyle-related diseases, are far below the target value; In the under-50 age group, less than 30% achieved the target vegetable intake of 350g, and less than 15% achieved the target fruit intake of 200g 53. Against such background, it has become a challenge to nurture children's ‘self-management ability’ that leads to spontaneous and healthy dietary habits 16. Until now, almost all research on ‘Dietary education’ has been conducted in the field of nutrition, focusing on accumulating nutritional knowledge by explaining each nutritional component and its function. However, it is difficult to nurture spontaneous and healthy dietary habits simply through repeated nutrition-based education. It can be said that the pedagogical approach of this paper has made it possible to pursue from a broader perspective that influences food choices. Research on ‘nutrition transition’ points out “worldwide obesity dynamics and their determinants” based on “a shift in the broader patterns of dietary habits (Western-style diet) and corresponding nutrition-related diseases” 42. Nutrition transition research 5040 has a broad and holistic perspective on food and health, making it easy to understand nutrition. The purpose of this paper is to pursue how to nurture the ‘self-management ability’ for spontaneous and healthy dietary habits, based on these latest nutritional knowledges. Because nutrition transition is a global phenomenon, the author choses to use broader methods of international comparative research. Comparisons lead to discoveries and value creation. This can be said to have the greatest significance in comparative research.
Oct 2019 DOI 10.14302/issn.2379-7835.ijn-19-3011
The skeletal muscle mass varies by race. Dietary habits over generations are a factor that influences the skeletal muscle mass, as well as genetic factors. Therefore, we investigated the effects of diets with different macronutrient contents on exercise-induced muscle hypertrophy in rats. Male 4-week-old Sprague–Dawley rats were randomly divided into three groups: a normal-diet (N), high-protein diet (HP) and high-fat diet (HF) group. The food intake was manipulated to gain comparable body weight across the three groups. All rats were performed a climbing exercise training for 8 weeks. The final body weight and weight of the liver, kidneys and adipose tissues did not significantly differ among the groups. The flexor hallucis longus was significantly higher in the HF group than in the HP group. The total lipid content in the muscle was significantly higher in the HF group than in the N group, while it did not differ significantly between the HF and HP groups. There were no marked differences in the water or protein content in the muscle among the groups. The plasma amino acid concentration was significantly or tended to be lower in the HP group than in the HF or N group, except for the branched-chain amino acid concentration, which tended to be higher after ingesting the HP diet than other diets. These findings suggest that consuming an HP diet is not likely to facilitate exercise-induced muscle hypertrophy, partly due to the plasma amino acid imbalance induced by habitual HP diet consumption.
Dec 2016 DOI 10.14302/issn.2379-7835.ijn-16-1360
Energy intake has been decreasing these ten years in Japan, and low energy intake is remarkable especially among young women. We attempted to show the dietary habits and physiological function including glucose tolerance and stamina for endurance-running in contemporary young Japanese women who take insufficient energy. 85 healthy women aged 20.5±1.1 years were enrolled in the present study. Subjects were categorized in two groups; Group I (n=70) with higher energy intake, and Group II (n=15) with lower energy intake than the basal metabolic rate (BMR). Actual energy intake in Group I was 1598.8±282.1 kcal/day, and it was 1019.9±127.1 kcal/day in Group II (p<0.01). Standard 75-g oral glucose-tolerance test was performed, and the capillary glucose value was measured at the fingertip. In Group I, glucose values at fasting, 30, 60 and 120 min were 75.0±9.1, 132.1±25.2, 120.5±27.4, 105.3±19.5 mg/dl, and those in Group II were 78.9±7.7, 155.8±26.6, 142.2±26.6, 112.3±16.0 mg/dl, respectively. The values of Group II at 30 and 60 min showed significantly high (p< 0.01). Stamina and the intake of protein in Group II were significantly lower than those in Group I (p<0.05), and muscle mass and grip strength were less in Group II than in Group I, though there was no significant difference. We indicated with these results that low skeletal muscle was considered to be responsible for the impairment of glucose regulation in Group II. This study showed that young women with low energy intake should take sufficient energy and build skeletal muscle to prevent the impairment of glucose regulation.
Feb 2016 DOI 10.14302/issn.2379-7835.ijn-14-566
Recent advancements in smartphone technology have provided new methods of dietary assessment. An iTunes application (app) called Meal Snap lets users take pictures of the meal they eat, and then estimates the calories of the food items eaten. We conducted a pilot study to explore the user-friendliness and calorie estimation functions of the Meal Snap app. Two female nutrition graduate students pilot-tested the Meal Snap app. Using the app, each student took pictures of foods and drinks consumed daily for two weeks. The data were analyzed using the Nutritionist ProTM software, version 4.4.0. The mean daily caloric intake obtained from the Meal Snap was then compared with that of Nutritionist ProTM. Paired samples t-tests and correlations were carried out using SPSS, version 19.Results indicated there was no significant difference in mean daily caloric consumption between Meal Snap and Nutritionist ProTM (p= 0.706). Additionally, there was a significant correlation between Meal Snap and Nutritionist ProTM calorie counts (Spearman r= 0.625, p< 0.001). It took about 35 minutes per week (or 5 minutes/day) to snap pictures and edit descriptions, whereas entering data for calorie analysis with Nutritionist ProTM took about 85-90 minutes per week (about 13 minutes/day).Findings suggest that Meal Snap may be a user-friendly tool to estimate dietary intake. Future research should include a larger sample and people of diverse ethnic backgrounds, dietary habits and age groups.