Background: Health literacy is the ability to access to, understand, evaluate and use of essential health information to make basic health decisions. This study aimed to develop and psychometrically evaluate an instrument for measuring health literacy among adults (the Health Literacy Instrument for Adults-HELIA). Methods: In addition to a literature review, a panel of specialists from different disciplines was formed to generate an item pool. Then, a framework was defined to develop the initial questionnaire based on a definition of health literacy and the most important global public health issues. The initial questionnaire contained 66 items. Next, 15 experts in public health were approached to assess content validity. Consequently, 19 items were removed and a provisional version of the questionnaire with 47 items was provided. Finally, a random sample of adults completed the questionnaire and psychometric properties of the instrument were assessed. Results: Overall, 323 adults aged 18 to 65 years old completed the questionnaire. When the exploratory factor analysis was performed, 33 items were loaded, which indicated a 5-factor solution for the questionnaire that jointly explained 52.9% of the variance observed. The factors were as follows: access to information (6 items), reading (4 items), understanding (7 items), appraisal (4 items), and decision making/behavioral intention (12 items). Confirmatory factory analysis also indicated a good fit to the data for the five-latent structure (χ2/df = 1.60, SRMR = 0.049; RMSEA = 0.043; CFI = 0.98; NFI = 0.95; NNFI = 0.98 and GFI = 0.87). Additional analysis for internal consistency showed satisfactory results with Cronbach's alpha coefficients ranging from 0.72 to 0.89. Intraclass correlation coefficient (test-retest analysis) also showed acceptable stability for the questionnaire (ICC = 0.84). The mean score for health literacy as measured by the HELIA was 76.3 (SD = 15.1) out of 100 for the study sample. Conclusion: The findings suggest that the Health Literacy Instrument for Adults (HELIA) is a valid and reliable instrument for measuring health literacy. It is a short and easy-to-use instrument that could be applied in different settings.
Background
Mechanical life made us witness the growing increase of chronic diseases despite the prominent scientific developments in the field of health, treatment and control. The aim of this study was to evaluate the impact of educational intervention based on Health Belief Model (HBM) using mobile applications (Telegram messenger) on doing exercise among the health care workers of Ilam university of medical sciences in 2017.
Methods
In this interventional study, 114 people working in Ilam University of medical sciences participated in two groups of intervention and control (employed at two different cities) after providing the informed consent form. HBM-ISCS questionnaire was used to collect the required data and its reliability was approved using Cronbach’s alpha. Descriptive statistics, chi square, t test, repeated measures ANOVA (RMANOVA) and structural equation model (SEM) were used.
Results
Half of the participants were men, 58.77% of them were undergraduate. The mean and SD of their age was 37.61 ± 4.88 years. Based on the results of the repeated measures analysis of variance test (before and after the intervention) in the intervention group, there were significant difference in all of the HBM constructs (perceived barriers was excepted), daily and weekly exercises, blood biochemical markers of the participants (P > 0.05). The above changes were not significant in the control group (P ≥ 0.05).
Conclusion
Exercise is closely related to the beliefs of people, so implementing educational interventions based on Telegram messenger with emphasis on health beliefs and using HBM can lead to have exercise. Therefore, this application can be a suitable tool to deliver trainings, especially when holding in-person classes is difficult.
Objective
The correlation between happiness and health is well established. This study aimed to measure happiness and its correlates among a sample of young adults in Iran. As such a national cross sectional study was conducted and the Oxford Happiness Questionnaire (OHQ) was administered to measure happiness. We performed logistic regression analysis to examine the relationship between happiness and independent variables.
Results
In all 14292 young adults (7702 female and 6590 male) were completed the questionnaire. The mean happiness score for the study sample was 4.09 (SD = 0.57) out of 6; indicative of a condition that is named as ‘rather happy; pretty happy’. The results obtained from multiple logistic regression analysis showed insignificant association between happiness, age, gender, and education whereas the association between happiness and income [OR for poor/very poor= 1.69, 95% CI: 1.51-1.90] and employment status [OR for unemployed = 1.88, 95% CI: 1.53-2.32] was significant. In addition separate analyses for men and women showed that income and employment still were significant for men but for women only income was significant.
The theory of reasoned action (TRA) is one of the most common models in predicting health-related behaviors and is used more often in health education studies. This study aimed to add two control constructs (perceived behavioral control - PBC and self-efficacy - SE) to the TRA and compare them using the structural equation modeling (SEM) for substance use avoidance among Iranian male adolescents in order to find out which model was a better fit in predicting the intention. This was a cross-sectional study carried out in Tehran, Iran. Data were collected from a random sample of high school male students (15-19 years of age) using a questionnaire containing items related to the TRA plus items reflecting two additional constructs (SE and PBC). In all, 433 students completed the questionnaires. The results obtained from SEM indicated a better fit to the data for the TRA with SE compared to the TPB (TRA with PBC) and TRA (χ2/df=2.55, RMSEA=0.072, CFI=0.96, NFI=0.94, NNFI=0.95, SRMR=0.058). Comparing SE and PBC, the results showed that self-efficacy was a better control construct in improving the TRA and predicting substance use avoidance intention (41%). The TRA with SE had a better model fit than TPB and the original version of the TRA.
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