The Experts below are selected from a list of 7431 Experts worldwide ranked by ideXlab platform
Chantal Julia - One of the best experts on this subject based on the ideXlab platform.
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Dietary Patterns, Ultra-processed Food, and the Risk of Inflammatory Bowel Diseases in the NutriNet-Santé Cohort
Inflammatory Bowel Diseases, 2020Co-Authors: Pauline Vasseur, Emmanuelle Dugelay, Robert Benamouzig, Guillaume Savoye, Annaïg Lan, Bernard Srour, Serge Hercberg, Mathilde Touvier, Jean-pierre Hugot, Chantal JuliaAbstract:Background The incidence of inflammatory bowel diseases (IBDs) tended to increase for several decades. Diet is suspected to be a major determinant of the occurrence of these diseases. This prospective study aimed to assess the associations among occurrence of IBD, dietary patterns, and ultra-processed food in the French NutriNet-Santé cohort. Methods Participants of the NutriNet-Santé cohort who completed at least three 24-hour dietary records were included. Incident IBD cases were identified from 3 questionnaires and confirmed by phone or Email Interview. Major dietary patterns (DPs) were computed using a principal component analysis (PCA) based on 29 food groups’ consumption, whereas proportions of ultra-processed foods (UPFs) were obtained using the NOVA classification. Multivariable Poisson models were performed to evaluate associations among DP quintiles, UPF proportion (UPFp) in the diet, and incident IBD. Results A total of 105,832 participants were included, contributing 238,924 person-years in a mean follow-up of 2.3 ± 2.2 years. Among them, 75 participants reported an incident IBD. Three major DPs were retained: “healthy,” “traditional,” and “western.” No significant association was found for DPs and UPFp after adjustments for covariates. Conclusions In this study, neither DPs nor UPF proportion in the diet were significantly associated with the risk of incident IBD after adjustments for covariates. Further studies are needed to investigate the long-term association between diet and IBD.
Pauline Vasseur - One of the best experts on this subject based on the ideXlab platform.
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Dietary Patterns, Ultra-processed Food, and the Risk of Inflammatory Bowel Diseases in the NutriNet-Santé Cohort
Inflammatory Bowel Diseases, 2020Co-Authors: Pauline Vasseur, Emmanuelle Dugelay, Robert Benamouzig, Guillaume Savoye, Annaïg Lan, Bernard Srour, Serge Hercberg, Mathilde Touvier, Jean-pierre Hugot, Chantal JuliaAbstract:Background The incidence of inflammatory bowel diseases (IBDs) tended to increase for several decades. Diet is suspected to be a major determinant of the occurrence of these diseases. This prospective study aimed to assess the associations among occurrence of IBD, dietary patterns, and ultra-processed food in the French NutriNet-Santé cohort. Methods Participants of the NutriNet-Santé cohort who completed at least three 24-hour dietary records were included. Incident IBD cases were identified from 3 questionnaires and confirmed by phone or Email Interview. Major dietary patterns (DPs) were computed using a principal component analysis (PCA) based on 29 food groups’ consumption, whereas proportions of ultra-processed foods (UPFs) were obtained using the NOVA classification. Multivariable Poisson models were performed to evaluate associations among DP quintiles, UPF proportion (UPFp) in the diet, and incident IBD. Results A total of 105,832 participants were included, contributing 238,924 person-years in a mean follow-up of 2.3 ± 2.2 years. Among them, 75 participants reported an incident IBD. Three major DPs were retained: “healthy,” “traditional,” and “western.” No significant association was found for DPs and UPFp after adjustments for covariates. Conclusions In this study, neither DPs nor UPF proportion in the diet were significantly associated with the risk of incident IBD after adjustments for covariates. Further studies are needed to investigate the long-term association between diet and IBD.
Tse-hsun (peter) Chen - One of the best experts on this subject based on the ideXlab platform.
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Studying the characteristics of logging practices in mobile apps: a case study on F-Droid
Empirical Software Engineering, 2019Co-Authors: Yi Zeng, Weiyi Shang, Jinfu Chen, Tse-hsun (peter) ChenAbstract:Logging is a common practice in software engineering. Prior research has investigated the characteristics of logging practices in system software (e.g., web servers or databases) as well as desktop applications. However, despite the popularity of mobile apps, little is known about their logging practices. In this paper, we sought to study logging practices in mobile apps. In particular, we conduct a case study on 1,444 open source Android apps in the F-Droid repository. Through a quantitative study, we find that although mobile app logging is less pervasive than server and desktop applications, logging is leveraged in almost all studied apps. However, we find that there exist considerable differences between the logging practices of mobile apps and the logging practices in server and desktop applications observed by prior studies. In order to further understand such differences, we conduct a firehouse Email Interview and a qualitative annotation on the rationale of using logs in mobile app development. By comparing the logging level of each logging statement with developers’ rationale of using the logs, we find that all too often (35.4%), the chosen logging level and the rationale are inconsistent. Such inconsistency may prevent the useful runtime information to be recorded or may generate unnecessary logs that may cause performance overhead. Finally, to understand the magnitude of such performance overhead, we conduct a performance evaluation between generating all the logs and not generating any logs in eight mobile apps. In general, we observe a statistically significant performance overhead based on various performance metrics (response time, CPU and battery consumption). In addition, we find that if the performance overhead of logging is significantly observed in an app, disabling the unnecessary logs indeed provides a statistically significant performance improvement. Our results show the need for a systematic guidance and automated tool support to assist in mobile logging practices.
Rhona M Hanning - One of the best experts on this subject based on the ideXlab platform.
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A Qualitative Evaluation of the eaTracker® Mobile App
Nutrients, 2018Co-Authors: Jessica Lieffers, Renata Valaitis, Tessy George, Janice Macdonald, Mark Wilson, Rhona M HanningAbstract:Background: eaTracker® is Dietitians of Canada’s online nutrition/activity self-monitoring tool accessible via website and mobile app. The purpose of this research was to evaluate the eaTracker® mobile app based on user perspectives. Methods: One-on-one semi-structured Interviews were conducted with adult eaTracker® mobile app users who had used the app for ≥ 1 week within the past 90 days. Participants (n = 26; 89% female, 73% 18–50 years) were recruited via Email. Interview transcripts were coded using first level coding and pattern coding, where first level codes were grouped according to common themes. Results: Participants mentioned several positive aspects of the mobile app which included: (a) Dashboard displays; (b) backed by dietitians; (c) convenience and ease of use; (d) portion size entry; (e) inclusion of food and physical activity recording; and (f) ability to access more comprehensive information via the eaTracker® website. Challenges with the mobile app included: (a) Search feature; (b) limited food database; (c) differences in mobile app versus website; and (d) inability to customize dashboard displayed information. Suggestions were provided to enhance the app. Conclusion: This evaluation provides useful information to improve the eaTracker® mobile app and also for those looking to develop apps to facilitate positive nutrition/physical activity behavior change.
Jean-pierre Hugot - One of the best experts on this subject based on the ideXlab platform.
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Dietary Patterns, Ultra-processed Food, and the Risk of Inflammatory Bowel Diseases in the NutriNet-Santé Cohort
Inflammatory Bowel Diseases, 2020Co-Authors: Pauline Vasseur, Emmanuelle Dugelay, Robert Benamouzig, Guillaume Savoye, Annaïg Lan, Bernard Srour, Serge Hercberg, Mathilde Touvier, Jean-pierre Hugot, Chantal JuliaAbstract:Background The incidence of inflammatory bowel diseases (IBDs) tended to increase for several decades. Diet is suspected to be a major determinant of the occurrence of these diseases. This prospective study aimed to assess the associations among occurrence of IBD, dietary patterns, and ultra-processed food in the French NutriNet-Santé cohort. Methods Participants of the NutriNet-Santé cohort who completed at least three 24-hour dietary records were included. Incident IBD cases were identified from 3 questionnaires and confirmed by phone or Email Interview. Major dietary patterns (DPs) were computed using a principal component analysis (PCA) based on 29 food groups’ consumption, whereas proportions of ultra-processed foods (UPFs) were obtained using the NOVA classification. Multivariable Poisson models were performed to evaluate associations among DP quintiles, UPF proportion (UPFp) in the diet, and incident IBD. Results A total of 105,832 participants were included, contributing 238,924 person-years in a mean follow-up of 2.3 ± 2.2 years. Among them, 75 participants reported an incident IBD. Three major DPs were retained: “healthy,” “traditional,” and “western.” No significant association was found for DPs and UPFp after adjustments for covariates. Conclusions In this study, neither DPs nor UPF proportion in the diet were significantly associated with the risk of incident IBD after adjustments for covariates. Further studies are needed to investigate the long-term association between diet and IBD.