The impact of diet and lifestyle on wellbeing in adults during COVID-19 lockdown

Lifestyle habits and examination findings before and during the COVID-19 pandemic: From health checkups in a rural area in Japan

Aim: Few health checkup studies have reported lifestyle habits and examination results before and during the COVID-19 pandemic. We compared lifestyle habits and examination results surveyed before and during the COVID-19 pandemic. Methods: Five hundred and ten and 396 participants attended the health checkup in 2019 and 2022, respectively. The median age of females was 65 in 2019 and 2022, and that of males was 68 in 2019 and 69 in 2022. We investigated dietary and exercise habits, alcohol consumption, sleeping situation, and examination results, including body mass index (BMI), smell function, and blood examination results before and during the COVID-19 pandemic in a rural area in Japan. Results: An ordinal logistic regression analysis revealed that the intake frequency of vegetables and marine products was significantly less in 2022 than in 2019 after adjusting age and sex; green leafy vegetables (p = .016), fish (p = .002), and other marine products, including squid, shrimp, crabs, and octopus (p = .008). Alcohol consumption amount increased significantly in 2022 than in 2019 in men who drank beer (p = .007) and chuhai (p = .040). Albumin, hematocrit, cholesterols, and uric acid decreased, but serum calcium increased significantly in 2022 than in 2019 after adjusting age and sex. BMI and hemoglobin A1c were not significantly different between 2019 and 2022. A decrease in subjective smell feeling and smell test results was associated with decreased intake frequency of vegetables. Conclusion: Both dietary habits and blood examination results changed significantly during the COVID-19 pandemic in a rural area in Japan.

Understanding Health-Related Motivations for Urban Food Self-Production in the Light of Semantic Fields Analysis

One of the contemporary challenges facing urban areas is the necessity to identify novel approaches to resident involvement in solution creation, with a particular focus on ensuring the best possible nutrition. By investigating the process of co-participation of city dwellers in a unique education project, this paper aims to gain a deeper understanding of the health-related motivations that underpin the decision of early adopters of the implemented technological innovations to join the social experiment. The qualitative study employed purposive sampling and in-depth interviews conducted in two waves, the first between October and November 2022 and the second between September 2023 and January 2024. The study comprised 42 participants drawn from two communities of residents in Łódź and Warsaw, Poland. Transcriptions of the interviews were carried out using semantic field analysis, employing a quantitative approach that counts the frequency of keyword occurrences. Three categories of semantic fields were identified: associations, oppositions, and actions toward the subject, including positive, neutral, and negative temperatures. The findings demonstrate that the health concerns of residents are a pivotal factor in their decision to participate in urban food self-production initiatives, given their limited access to nutritious and healthy vegetables. This is related to several factors, including restrictions related to urbanization and the displacement of local suppliers, lifestyle, and the fast pace of urban life. The dissemination of innovative solutions for growing food in urban environments could, therefore, facilitate awareness-raising and motivation to alter the dietary habits of inhabitants.

Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities

INTRODUCTION

A proper nutrition is essential for human life. Recently, special attention on this topic has been given in relation to three health statuses: obesity, malnutrition and specific diseases that can be related to food or treated with specific diets. Mobile technology is often used to assist users that wish to regulate their eating habits, and identifying which fields of application have been explored the most by the app developers and which main functionalities have been adopted can be useful in view of future app developments.

METHODS

We selected 322 articles mentioning nutrition support apps through a literature database search, all of which have undergone an initial screening. After the exclusion of papers that were already reviews, not presenting apps or not focused on nutrition, not relevant or not developed for human subjects, 100 papers were selected for subsequent analyses that aimed at identifying the main treated conditions, outcome measures and functionalities implemented in the Apps.

RESULTS

Of the selected studies, 33 focus on specific diseases, 24 on obesity, 2 on malnutrition and 41 on other targets (e.g., weight/diet control). Type 2 diabetes is the most targeted disease, followed by gestational diabetes, hypertension, colorectal cancer and CVDs which all were targeted by more than one app. Most Apps include self-monitoring and coaching functionalities, educational content and artificial intelligence (AI) tools are slightly less common, whereas counseling, gamification and questionnaires are the least implemented. Body weight and calories/nutrients were the most common general outcome measures, while glycated hemoglobin (HbA1c) was the most common clinical outcome. No statistically significant differences in the effectiveness of the different functionalities were found.

CONCLUSION

The use of mobile technology to improve nutrition has been widely explored in the last years, especially for weight control and specific diseases like diabetes; however, other food-related conditions such as Irritable Bowel Diseases appear to be less targeted by newly developed smartphone apps and their related studies. All different kinds of functionalities appear to be equally effective, but further specific studies are needed to confirm the results.