Screening everyday health information literacy among four populations.

BACKGROUND: People face varying obstacles when interacting with health information in their everyday lives. OBJECTIVES: This study aims to examine the applicability of a multidimensional Everyday Health Information Literacy (EHIL) screening tool in detecting people with challenges in accessing, understanding, evaluating and using health information in everyday situations. METHODS: Previously collected EHIL screening tool data from Finnish upper secondary school students (n = 217), Finnish young men (n = 1450), Finnish adults with an increased risk for metabolic syndrome (n = 559) and Namibian university students (n = 271) were reanalysed to examine the factorial structure of the tool and to compare the groups. Statistical analyses included exploratory factor analyses, calculation of mean factor scores and one-way analysis of variance. RESULTS: A three factor structure ('awareness', 'access', 'assessment') for the screening tool was supported based on the Finnish samples. However, the Namibian data did not follow a similar structure. Significant differences in groupwise factor scores were discovered. DISCUSSION: The findings suggest that the multidimensional EHIL screening tool can be used in pointing out areas where individuals or groups may need support. CONCLUSION: The tool may be useful to health information and library services workers when counselling or educating the public.

Health Literacy in Web-Based Health Information Environments: Systematic Review of Concepts, Definitions, and Operationalization for Measurement.

BACKGROUND: Health literacy research seems to lack a consensus on what aspects to include into literacy in the context of health and on how to operationalize these concepts for measurement purposes. In addition to health literacy, several other concepts, such as electronic health (eHealth) literacy and mental health literacy, have been developed across disciplines. This study examines how these different concepts are used when studying health-related competencies in Web contexts. OBJECTIVE: This study systematically reviews health literacy concepts and definitions and their operationalization in studies focused on Web-based health information environments. METHODS: A systematic literature search was conducted in April 2016 in 6 electronic databases with a limitation to articles in English published between January 2011 and April 2016. Altogether, 1289 unique records were identified and screened according to the predefined inclusion criteria: (1) original, peer-reviewed research articles written in English; (2) the topic of the article concerned literacy in the context of health; (3) informants of the study were lay people, not health professionals or students of the field; and (4) the focus of the study was placed on an Web-based information environment. In total, 180 full texts were screened, of which 68 were included in the review. The studies were analyzed with an emphasis on the used health literacy concepts and measures. RESULTS: On the basis of the included studies, several concepts are in use when studying health-related literacy in Web environments, eHealth literacy and health literacy being the most common ones. The reviewed studies represent a variety of disciplines, but mostly medical sciences. Typically, quantitative research methods are used. On the basis of the definitions for health literacy, 3 thematic categories were identified: general and skill-based, multidimensional, and domain-specific health literacy. Most studies adopted a domain-specific concept, followed by the ones that used a general and skill-based concept. Multidimensional concepts occurred least frequently. The general health literacy concepts were usually operationalized with reading comprehension measures, the domain-specific concepts with self-efficacy measures, and multidimensional concepts with several types of measures. However, inconsistencies in operationalization were identified. CONCLUSIONS: The results show that in studies conducted in Web-based information environments, several different health literacy concepts are in use, and there is no clear consensus on the definitions for these concepts. Future studies should place emphasis on the conceptual development of health literacy in Web contexts to gain better results on operationalization for measurement. Researchers are encouraged to provide clear operational definitions for the concepts they use to ensure transparency in reporting.

Individual factors affecting preferences for feedback message tactics in the contexts of physical activity.

Tailored feedback on personal physical activity behavior has been used to inform individuals and promote physical activity among different populations. This study aimed to increase the understanding of factors associated with young men's preferences for feedback message tactics in the context of physical activity and exercise. How preferences vary was analyzed in terms of the self-reported physical activity, stage of exercise behavior change, exercise self-efficacy, objectively measured physical health status, and sociodemographic characteristics of young Finnish men. Population-based survey data, including physiological measurements (n = 525), were collected at the Finnish Defence Forces' call-ups in the city of Oulu, Finland, in September 2011. The results indicate that the stage of exercise behavior change, exercise self-efficacy, physical health status, and educational level are associated with a preference for normative and ipsative comparison. Multivariate logistic regression models show that an advanced stage of exercise behavior change and education in the academic track of an upper secondary school are independent predictors of preferring ipsative and normative physical activity feedback among young men. The study provides new insights into how the stage of behavior change influences health information behavior and is in line with studies emphasizing social factors--including education--as being important in shaping health-related behavior. These factors could form the basis for tailoring information when designing health promotion.

Gamified physical activation of young men--a Multidisciplinary Population-Based Randomized Controlled Trial (MOPO study).

BACKGROUND: Inactive and unhealthy lifestyles are common among adolescent men. The planned intervention examines the effectiveness of an interactive, gamified activation method, based on tailored health information, peer networks and participation, on physical activity, health and wellbeing in young men. We hypothesize that following the intervention the physical activation group will have an improved physical activity, as well as self-determined and measured health compared with the controls. METHODS/DESIGN: Conscription-aged men (18 years) attending compulsory annual call-ups for military service in the city of Oulu in Finland (n = 1500) will be randomized to a 6-months intervention (n = 640) or a control group (n = 640) during the fall 2013. A questionnaire on health, health behaviour, diet and wellbeing is administered in the beginning and end of the intervention. In addition, anthropometric measures (height, weight and waist circumference), body composition, grip strength, heart rate variability and aerobic fitness will be measured. The activation group utilizes an online gamified activation method in combination with communal youth services, objective physical activity measurement, social networking, tailored health information and exercise programs according to baseline activity level and the readiness of changes of each individual. Daily physical activity of the participants is monitored in both the activation and control groups. The activation service rewards improvements in physical activity or reductions in sedentary behaviour. The performance and completion of the military service of the participants will also be followed. DISCUSSION: The study will provide new information of physical activity, health and health behaviour of young men. Furthermore, a novel model including methods for increasing physical activity among young people is developed and its effects tested through an intervention. This unique gamified service for activating young men can provide a translational model for community use. It can also be utilized as such or tailored to other selected populations or age groups. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01376986.

Health information literacy in everyday life: a study of Finns aged 65-79 years.

This article examines the health information literacy of elderly Finns. The results are based on a survey conducted in January 2011. The questionnaire was distributed to 1000 persons that were randomly drawn from the Finnish Population Register. The respondents were aged 65-79 years (mean age 70 years) and lived in the Turku region in Finland. A total of 281 questionnaires (28%) were returned. χ(2) analyses were used to find possible relationships between demographic factors, as well as interest, seeking activity, current self-rated health and different dimensions of health information literacy, including needs, seeking and use of health-related information. Significant relationships were found between education level, interest in health information, seeking activity, self-rated current health and dimensions of health information literacy. Some categories of elderly people are more vulnerable regarding obtaining and use of health information: those with lower levels of education, those with poor health, and those who are not interested in and active at seeking information. For people who are found in any of these categories, it is important that available health-related information is understandable and can be accessed without too much effort-something that information providers should take into account.

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.

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.

Preventing the obesity epidemic by second generation tailored health communication: an interdisciplinary review.

BACKGROUND: The prevention of obesity and health concerns related to obesity are major challenges worldwide. The use of eHealth communication and the tailoring of information delivered via the Internet at the individual level may increase the effectiveness of interventions. Mastering behaviors related to nutrition, physical activity, and weight management are the main issues in preventing obesity, and the need for interdisciplinary knowledge within this area is obvious. OBJECTIVE: The objectives were to review the literature on tailored health communication and to present an interdisciplinary analysis of studies on "second" generation tailored interventions aimed at behavior change in nutrition, physical activity, or weight management. METHODS: A literature search was conducted of the main electronic information sources on health communication. Selection criteria were defined, and 23 intervention studies were selected. The content analysis focused on the following: study designs, objectives of behavior change, target groups, sample sizes, study lengths, attrition rates, theories applied, intervention designs, computer-based channels used, statistically significant outcomes from the perspective of tailoring, and possible biases of the studies. However, this was not a structured meta-analysis and cannot be replicated as such. RESULTS: Of the 23 studies, 21 were randomized controlled trials, and all focused on behavior change: 10 studies focused on behavior change in nutrition, 7 on physical activity, 2 on nutrition and physical activity, and 4 on weight management. The target groups and the number of participants varied: 8 studies included more than 500 participants, and 6 studies included less than 100. Most studies were short; the duration of 20 studies was 6 months or less. The Transtheoretical Model was applied in 14 of the 23 studies, and feedback as a tailoring mechanism was used in addition to an Internet site (or program) in 15 studies and in addition to email in 11 studies. Self-reporting was used in 15 studies, and 14 studies did not have a no-information control group. Tailoring was more effective in nutrition interventions than in physical activity and weight management interventions. The outcomes were mixed or negative in 4 studies of physical activity interventions and in 3 studies of weight management. The use of a no-information control group seemed to have been linked to statistically significant between-group effects in measuring physical activity. This bias effect related to intervention design may explain the differences in the outcomes of the physical activity studies. CONCLUSIONS: Tailoring was shown to have been an effective method in nutrition interventions, but the results for physical activity were mixed, which is in line with previous studies. Nevertheless, the effect of possible biases, such as relying solely on self-reports and on intervention design without a no-information control group, should not be underestimated. Thus, the issue of bias merits more attention in planning interventions and in future meta-analyses.