Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT05558631 |
Other study ID # |
Lisa Cohort |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
November 1, 2022 |
Est. completion date |
January 31, 2033 |
Study information
Verified date |
September 2022 |
Source |
Instituto Politécnico de Leiria |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Health literacy (HL) is a topic of increasing importance todays' ever-changing world. Over
the past few decades, HL has gained importance, as it is a factor related to health behaviors
and outcomes. In Portugal, the last survey was in 2016 and 61% of the population had a
problematic or inadequate level of HL in general. Lisa is a cohort study that will measure HL
in the adult population residing in the municipality of Leiria over the next 4 years, with
measurements every 2 years. Over the years we will promote activities and interventions
adjusted to the needs of Leiria's population. At the end we want to understand the changes
during the years and improve the health care provided.
Description:
The main aim of this study is to measure HL in the adult population residing in the
municipality of Leiria over the next 10 years. As secondary objectives, it is intended to
characterize anxiety and depression, metabolic risk, alcoholism, and smoking in the in the
same population sample and over the same period. The research design follows a longitudinal,
prospective closed cohort study of Leiria's residents during ten years. Strengthening the
report of observational studies in epidemiology (STROBE) guidelines were applied in alignment
of the research objectives. The frequency of data assessment is set to two years, so
participants will be contacted five times during the study. The sample will consist of
residents of the municipality of Leiria aged 18 years or over, having been determined a
sample size of 4003 (2001 men and 2002 women).
The team that conducted the 1st wave survey will be composed by 32 interviewers, who will be
recruited by the Center for Innovative Care and Health Technology (ciTechCare) coordination
board through a selection process composed of 2 stages: interview selection plus a
theoretical and practical training session. The follow-ups of the cohort were decided to be
conducted every two years by call. In the 1st wave a face-to-face interview will be conducted
with the Computer Assisted Personal Interview (CAPI) system: all interviewers have a tablet
with the software (LimeSurvey) which provided the questionnaire, designed by ciTechCare
research team, applied to all subjects. Surveys will be administered online via the
LimeSurvey platform at baseline and at 2 years, 4 years, 6 years, and 8 years post baseline
(5 waves). The baseline and follow-up surveys will comprise the same battery of validated
questionnaires and instruments designed to collect information on sociodemographic, lifestyle
aspects (tobacco and physical activity), anthropometric variables, auto-report chronic
diseases, metabolic risk, anxiety and depression and HL. It will take approximately 30
minutes to complete the survey.
Metabolic risk is assessed by the Finnish Diabetes Risk Score (FINDRISC), to evaluate
symptoms of anxiety and depression we applied the Hospital Anxiety and Depression Scale
(HADS) Portuguese validated version and HL will be measured by European Health Literacy
Survey Questionnaire (HLS-EU-Q47).
Descriptive statistics (mean, standard deviation, median, minimum, maximum, interquartile
range, absolute and relative frequencies) will be computed to describe the cohorts'
sociodemographic characteristics. At baseline comparisons between groups (eg with and without
anxiety) will be undertaken using t-tests for continuous normally distributed variables or
Wilcoxon for continuous non-normally distributed variables. Chi-squared tests will be used
for categorical variables, and Fisher's Exact test will be used for categorical variables
within smaller sample sizes. Comparison between more than two groups will be performed
through one-way analysis of variance (ANOVA) for continuous variables and chi-squared test
for categorical variables. Factors significantly associated with any disease group will be
included in a logistic regression model for further analysis. The effect of specific
conditions on HL will be assessed by linear regression, univariable and then multivariable,
controlling for potential confounders and also analyzing potential effect modification.
Taking into consideration follow-up, the changes in HL, anxiety and depression will be each
evaluated by means of variance analysis with measurement repetition. After checking the
statistical model pre-requisites, sociodemographic characteristics will be added by means of
linear regression analysis in the final model.