Hiv Clinical Trial
Official title:
Effects of mHealth Message on Metabolic Syndrome and Bone Loss of HIV Infected Persons in Taiwan
With improved AIDS treatment leading to extended survival, HIV-infected individuals face a higher metabolic syndrome incidence. This study aims to determine the prevalence of Non-AIDS related Comorbidities (NARC) in HIV-infected individuals. Using purposive and snowball sampling, the cross-sectional survey targets 400 HIV-infected individuals aged 40 and above. Data collection includes demographics, physical activity, nutrition, depression, and physiological measurements. Analyzing the data through statistical tests and structural equation modeling, the study aims to provide precise care recommendations for preventive medicine and healthy aging in this population.
With the success of treatment, the survival period of Acquired immunodeficiency syndrome (AIDS) patients is prolonged. Compared with non-HIV-infected persons of the same age, HIV-infected persons have a relatively higher incidence of metabolic syndrome (MS). The main purpose of this study is to estimate the prevalence of common Non-AIDS related Comorbidities (NARC) among HIV-infected persons This study is a cross-sectional survey, purposive and snowball sampling will be applied. The recruitment information is released through channels such as AIDS case managers, AIDS non-government organizations, and social networks of HIV-infected people all around Taiwan. The expected sample size is 400 HIV-infected persons over the age of 40, after signing a written consent form, a test will be conducted, including the collection of demographic data, questionnaire data collection with physical activity scale, mini-nutrition assessment scale, and depression self-test scale, and measurement of physiological parameters using instruments including a gripper, body composition meter, sphygmomanometer, blood glucose, and lipid monitor, tape measure. The Chi-square test and independent sample T-test are used to compare the differences in the categorical and continuous data of each variable, and the structural equation model is used to conduct path analysis of the research framework. The research results can be used as precise care recommendations for the development of preventive medicine and healthy aging for HIV-infected persons. ;
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