A systematic comparison of additive and interaction approaches to modeling the effects of syndemic problems on HIV outcomes in South Africa.

Much of the research on the effects of syndemics on HIV outcomes has utilized an additive approach. However, interaction effects may better account for syndemic synergy than an additive approach, but it remains difficult to specify interaction effects without empirical guidance. We sought to systema...

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Publicado en:Journal of Behavioral Medicine Vol. 47; no. 6; pp. 1028 - 1040
Autores principales: Lee, Jasper S., Bainter, Sierra A., Tsai, Alexander C., Andersen, Lena S., Stanton, Amelia M., Magidson, Jessica F., Kagee, Ashraf, May, Julian, Joska, John A., O'Cleirigh, Conall, Safren, Steven A.
Formato: research tables/charts Journal Article
Publicado: Springer Nature Dec2024
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A systematic comparison of additive and interaction approaches to modeling the effects of syndemic problems on HIV outcomes in South Africa.
      aug:
        au:
          Lee, Jasper S.
          Bainter, Sierra A.
          Tsai, Alexander C.
          Andersen, Lena S.
          Stanton, Amelia M.
          Magidson, Jessica F.
          Kagee, Ashraf
          May, Julian
          Joska, John A.
          O'Cleirigh, Conall
          Safren, Steven A.
        affil: https://ror.org/002pd6e78 Department of Psychiatry, Behavioral Medicine Program, Massachusetts General Hospital, One Bowdoin Square 9th Floor, 02114, Boston, MA, USA
      sug:
        subj:
          HIV Infections Drug Therapy
          Anti-Retroviral Agents Therapeutic Use
          Medication Compliance Evaluation
          Syndemic
          Human
          South Africa
          HIV-Positive Persons
          Linear Regression
          Alcohol Drinking
          Intimate Partner Violence
          Stress Disorders, Post-Traumatic
          Social Anxiety Disorders
          Substance Use Disorders
          Food Security
          Poverty
          Housing Instability
          Health Services Accessibility
          Depression
          Descriptive Statistics
          Confidence Intervals
          Funding Source
      ab: Much of the research on the effects of syndemics on HIV outcomes has utilized an additive approach. However, interaction effects may better account for syndemic synergy than an additive approach, but it remains difficult to specify interaction effects without empirical guidance. We sought to systematically compare additive and interaction effects approaches to modeling the effects of syndemic problems on antiretroviral therapy (ART) using empirically specified interaction terms. Participants were 194 people with HIV (PWH) who received HIV care in Khayelitsha, South Africa. In a series of linear regression models, we examined ten syndemic problems: depression, alcohol use, intimate partner violence (IPV), post-traumatic stress, social anxiety, substance use, food insecurity, poverty, housing instability, and structural barriers to care. Depression, substance use, and food insecurity were selected for interaction terms based on a prior network analysis, which found these problems to be most central. The additive models did not produce statistically significant findings. However, the interaction effects models yielded significant interaction terms in both the full model and a parsimonious model. There was a statistically significant effect of the interaction between depression and food insecurity on ART adherence (b = 0.04, Robust SE = 0.02, 95%CI [0.001–0.08], p =.012). This pattern of results was replicated in the parsimonious model. Findings suggest that when feasible, interaction effects approaches may be a helpful syndemic modeling technique. Results may inform future intervention targets, such as depression and food insecurity, and the importance of addressing both structural and psychosocial syndemic problems.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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