Human information behaviour and physiological measurements as a basis to tailor health information. An explorative study in a physical activity intervention among prediabetic individuals in Northern Finland

• Published in: Health Information & Libraries Journal
• Main Authors: Enwald, Heidi P. K., Niemelä, Raimo M., Keinänen‐Kiukaanniemi, Sirkka, Leppäluoto, Juhani, Jämsä, Timo, Herzig, Karl‐Heinz, Oinas‐Kukkonen, Harri, Huotari, Maija‐Leena A.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2011
• Subjects: Health Information Management; Library and Information Sciences; Health Informatics; Northern Finland
• Online Access: http://dx.doi.org/10.1111/j.1471-1842.2011.00968.x; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1471-1842.2011.00968.x; https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1471-1842.2011.00968.x

Abstract Objective: To explore through an interdisciplinary approach the potential to tailor health information on the basis of human information behaviour (HIB) on par with the results of basic physiological measurements of individuals’ health. Methods: The data were collected at the baseline of a physical activity and diabetes prevention intervention with 72 prediabetic participants, conducted in Oulu, Finland, by the University of Oulu and Oulu Deaconess Institute in 2010. Body mass index (BMI), fitness classifications and glucose values were obtained from all prediabetic participants. The interest in, the search for and the use of information on nutrition, physical activity and diabetes were examined through a self‐report questionnaire with a response rate of 95.8%. The data were analysed with the SPSS statistics 18 software. Results and conclusions: The study shows that information behaviour of prediabetic individuals differs according to their BMI and fitness level. Poor physical fitness classifications and high BMI values were associated with an increased desire to receive tailored information on nutrition and physical activity frequently. These results add knowledge on the types and preferred frequencies of tailored information. Because of the small sample size, the results should be validated further.