HRQoL and nutritional well-being dissimilarities between two different online collection methods: Value for digital health implementation

Author:

Higuera-Gomez Andrea1,Ribot-Rodriguez Rosa1,San-Cristobal Rodrigo1,Martín-Hernández Roberto2,Mico Victor1ORCID,Espinosa-Salinas Isabel3,Ramirez de Molina Ana4,Martinez J Alfredo15

Affiliation:

1. Precision Nutrition and Cardiometabolic Health Program, Research Institute on Food and Health Sciences IMDEA Food, UAM + CSIC, Madrid, Spain

2. Bioinformatics and Biostatistics Unit, Madrid Institute for Advanced Studies (IMDEA) Food, CEI UAM + CSIC, Madrid, Spain

3. Nutritional Genomics and Health Unit, Research Institute on Food and Health Sciences IMDEA Food, UAM + CSIC, Madrid, Spain

4. Molecular Oncology Group, Research Institute on Food and Health Sciences IMDEA Food, UAM + CSIC, Madrid, Spain

5. CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), Madrid, Spain

Abstract

Background Online health data collection has gained a reputation over the last years to record and process information about health issues for implementing digital health. Objective The research aim was to appraise two online methods (open and rewarded) to collect information about HRQoL and nutritional well-being and to compare the results between both surveyed populations. Methods This cross-sectional study is framed on the NUTRiMDEA project. Online data through two different web-based methods (open survey and rewarded survey) were retrieved to assemble data related to sociodemographic, lifestyle (diet, physical activity and sleep patterns) and general health aspects, as well as HRQoL by an evidence-based form such as the SF-12 questionnaire, the IPAQ survey, and MEDAS-14, participants were adults (>18 years old). Results Overall, 17,332 participants responded to the open survey (OS, n = 11,883) or the rewarded survey (RS, n = 5449). About 65.1% of the participants were female, while the mean age was in the range of 40–70 years. There were significant differences ( p < 0.05) between surveyed populations in sociodemographic, lifestyle (diet and physical activity), health and HRQoL data. Conclusions This investigation implemented an evidence-based online questionnaire that collected demographic, lifestyle factors, phenotypic and health-related aspects as well as compared differential outcomes in HRQoL and nutritional/lifestyle well-being depending on the online mode data collection. Findings demonstrated dissimilarities in most aspects of health, HRQoL, dietary intake and physical activity records between both populations. Overall, OS sample was characterized as a healthier population with superior lifestyle habits than RS participants.

Funder

Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición

Consejería de Educación, Juventud y Deporte, Comunidad de Madrid

Ministerio de Ciencia e Innovación y Ministerio de Universidades

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

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