Health Info Libr J - 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.

Tópicos

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Resumo

JECTIVE: 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.

Resumo Limpo

jectiv explor interdisciplinari approach potenti tailor health inform basi human inform behaviour hib par result basic physiolog measur individu healthmethod data collect baselin physic activ diabet prevent intervent prediabet particip conduct oulu finland univers oulu oulu deaco institut bodi mass index bmi fit classif glucos valu obtain prediabet particip interest search use inform nutrit physic activ diabet examin selfreport questionnair respons rate data analys spss statist softwareresult conclus studi show inform behaviour prediabet individu differ accord bmi fit level poor physic fit classif high bmi valu associ increas desir receiv tailor inform nutrit physic activ frequent result add knowledg type prefer frequenc tailor inform small sampl size result valid

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