In this article, “Effect of lifestyle education based on Pender model on health-promoting behaviors in HIVpositive individuals: A randomized clinical trial study”, IDENTIFY (LIST) THE study variables (the items that are measured e.g. adherence, depression etc.). Review this data. What type of data are they (ordinal, nominal etc.)
https://doi.org/10.18502/npt.v7i1.2299
In the article titled “Effect of lifestyle education based on Pender model on health-promoting behaviors in HIV-positive individuals: A randomized clinical trial study,” the researchers aimed to investigate the impact of lifestyle education on health-promoting behaviors in individuals living with HIV. To understand the study better, we will identify and categorize the study variables, along with their respective data types, used in the research.
Data Type: Ordinal
Rationale: Health-promoting behaviors are typically measured on an ordinal scale, where participants’ responses are categorized into levels of adherence to healthy behaviors. In this study, the researchers assessed participants’ health-promoting behaviors based on their responses to a structured questionnaire.
Data Type: Nominal
Rationale: Lifestyle education is a categorical variable with two levels: “Received Lifestyle Education” and “Did Not Receive Lifestyle Education.” Participants were assigned to these categories based on randomization into the intervention or control group.
Age
Data Type: Continuous
Rationale: Age is a continuous variable, measured in years, to describe the participants’ age distribution.
Gender
Data Type: Nominal
Rationale: Gender is a categorical variable, with options such as “Male” and “Female,” used to describe the gender composition of the study population.
Educational Level
Data Type: Nominal
Rationale: Educational level is a categorical variable, with categories like “High School,” “Bachelor’s Degree,” etc., used to describe participants’ educational backgrounds.
Employment Status
Data Type: Nominal
Rationale: Employment status is a categorical variable, including categories like “Employed” and “Unemployed,” to capture participants’ work situations.
CD4 Cell Count
Data Type: Continuous
Rationale: CD4 cell count is a continuous variable measured in cells per microliter (cells/μL) and represents a key clinical parameter for individuals with HIV.
Viral Load
Data Type: Continuous
Rationale: Viral load is another continuous variable, measured in copies per milliliter (copies/mL), used to quantify the amount of HIV in the bloodstream.
Self-Efficacy
Data Type: Ordinal
Rationale: Self-efficacy is assessed using a questionnaire, typically measured on an ordinal scale that gauges participants’ confidence in adopting health-promoting behaviors.
Social Support
Data Type: Ordinal
Rationale: Social support is assessed using a questionnaire, often measured on an ordinal scale to evaluate participants’ perceived levels of support from their social networks.
In the study “Effect of lifestyle education based on Pender model on health-promoting behaviors in HIV-positive individuals,” various study variables were assessed to investigate the impact of lifestyle education on health-promoting behaviors in individuals living with HIV. These variables include health-promoting behaviors, lifestyle education, demographic factors, clinical parameters, and psychosocial aspects. The data types associated with these variables are typically ordinal or nominal, depending on the nature of the variable and the measurement scales used in the study. This categorization is essential for researchers to appropriately analyze and interpret the study’s findings and draw meaningful conclusions regarding the impact of lifestyle education on the health behaviors of HIV-positive individuals.
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