Latent variables and structural equation models for longitudinal relationships: an illustration in nutritional epidemiology

Chavance, Michel; Escolano, Sylvie; Romon, Monique; Basdevant, Arnaud; Lauzon-Guillain, Blandine de; Munier, Charles

doi:10.1186/1471-2288-10-37

Cited by 36 publications

(28 citation statements)

References 21 publications

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“…The SEM offers an integrated approach with increased validity as the construction of latent variables captures the multifactorial properties of inter-related domains of which no single observable variable would be representative [42,43]. …”

Section: Introductionmentioning

confidence: 99%

Examining the relationship between socio-economic status, WASH practices and wasting

et al. 2017

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Childhood wasting is a global problem and is significantly more pronounced in low and middle income countries like Bangladesh. Socio Economic Status (SES) and Water, Sanitation and Hygiene (WASH) practices may be significantly associated with wasting. Most previous research is consistent about the role of SES, but the significance of WASH in the context of wasting remains ambiguous. The effect of SES and WASH on weight for length (WHZ) is examined using a Structural Equation Model (SEM) to explicitly describe the direct and indirect role of WASH in the context of SES.A nationally representative survey of 10,478 Bangladeshi children under 5 were examined. An expert defined SEM was used to construct latent variables for SES and WASH. The SEM included a direct pathway from SES to WHZ and an indirect pathway from SES to WHZ via WASH along with regression of relevant covariates on the outcome WHZ and the latent variables. Both SES (p<0.01) and WASH (p<0.05) significantly affect WHZ. SES (p<0.01) also significantly affects WASH. Other structural components showed that child’s age (p<0.01) affects WHZ and types of residence (p<0.01) affects SES. WASH practices at least partially mediate the association between SES and wasting status. WASH and SES are both significantly associated with WHZ.

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Section: Introductionmentioning

confidence: 99%

Examining the relationship between socio-economic status, WASH practices and wasting

et al. 2017

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“…Existence of these “latent variables” may be revealed by associations among measured variables [34]. Latent variables translate the fact that several observed variables could be imperfect measurements of a single underlying concept [35, 36]. …”

Section: Methodsmentioning

confidence: 99%

Integrative Analysis of Immunological Data to Explore Chronic Immune T-Cell Activation in Successfully Treated HIV Patients

Picat¹,

Pellegrin²,

Bitard³

et al. 2017

PLoS ONE

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ObjectivesTo unravel the complex relationships between cytomegalovirus-induced-, autoimmune-induced responses, microbial translocation and chronic immune activation (CIA) in successfully treated HIV-infected patients and to explore the mediating role of alpha-interferon in these processes.DesignCross-sectional study nested in the ANRS CO3 Aquitaine Cohort, a prospective hospital-based cohort of HIV-1-infected patients in South-Western France.MethodsPatients initiated antiretroviral therapy between 2005 and 2008 and were treated with sustained virological suppression for at least two years. CIA was defined by the percentage of HLA-DR+/CD38+ among CD8+T-cells. Integrative analyses were performed using structural equation modelling (SEM).ResultsThe main analysis was performed in 57 HLA-A*0201 positive patients, due to availability of percentages of actin-, vimentin-, lamin-specific CD8+T-cells (HLA-A2-restricted tests) to further characterize autoimmune response. Cytomegalovirus-induced response was assessed by Quantiferon and pp-65 ELISPOT. SEM revealed a direct effect of cytomegalovirus-induced response on CIA (standardized estimate βstd = 0.56, p-value = 0.0004). The effect of autoimmune-induced response on CIA was indirect through alpha-interferon pathway, assessed by expression levels of 5 alpha-interferon-stimulated genes ADAR, ISG15, IFIT1, Mx1 and OAS1 (effect of autoimmune response on alpha-interferon: βstd = 0.36, p-value = 0.0401; effect of alpha-interferon on CIA: βstd = 0.39, p-value = 0.0044). There was no direct effect of autoimmune-induced response on CIA (p-value = 0.3169). Microbial translocation as measured by 16SrDNA and sCD14 in plasma was not associated with CIA. Results were consistent in 142 patients in whom cytomegalovirus and auto-immunity responses were measured by Quantiferon and anti-nuclear antibodies, respectively. All analyses performed in HLA-A*0201 positive patients and in the overall population revealed a significant effect of IFN-α latent variable on CIA.ConclusionThe role of cytomegalovirus-induced response on CIA was confirmed as well as the involvement of alpha-interferon on CIA. The indirect effect of auto-immunity response on CIA revealed through the alpha-interferon pathway requires further investigation to confirm the potential role of auto-immunity for CIA in HIV-infected patients.

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“…In addition, it has been applied to biology as well as medical research like epidemiology (Aburatani, 2011;Amorim et al, 2010;Beran and Violato, 2010;Chavance et al, 2010;Tolvanen et al, 2012).…”

Section: Structural Equation Modelingmentioning

confidence: 99%

Quantitatively analyze composition principle of Ma Huang Tang by structural equation modeling

Gai

et al. 2012

Journal of Ethnopharmacology

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Latent variables and structural equation models for longitudinal relationships: an illustration in nutritional epidemiology

Cited by 36 publications

References 21 publications

Examining the relationship between socio-economic status, WASH practices and wasting

Examining the relationship between socio-economic status, WASH practices and wasting

Integrative Analysis of Immunological Data to Explore Chronic Immune T-Cell Activation in Successfully Treated HIV Patients

Quantitatively analyze composition principle of Ma Huang Tang by structural equation modeling

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