Latent class/profile analysis in maltreatment research: A commentary on Nooner et al., Pears et al., and looking beyond

Roesch, Scott C.; Villodas, Miguel T.; Villodas, Feion

doi:10.1016/j.chiabu.2010.01.003

Cited by 120 publications

(121 citation statements)

References 60 publications

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“…A three-class model resulted in a high anxious-depressed group (10% of sample), a moderate anxious-depressed group (30% of sample) and a low anxious-depressed group (60% of the target population of sample). This approach has previously generated consistent characteristics of anxious-depression latent classes, similarly typified as high, moderate, and low, and provided support for our dimensional operationalization (Camacho, 2013; Camacho et al, 2015; Roesch SC, Villodas M, & Villodas F, 2010). The resulting classes were non-separable and highly correlated within the anxious-depression construct.…”

Section: Methodssupporting

confidence: 57%

Anxious Depression and Neurocognition among Middle-Aged and Older Hispanic/Latino Adults: Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Results

Camacho

Tarraf

Jimenez

et al. 2018

The American Journal of Geriatric Psychiatry

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Objective The purpose of this study is to examine the association between verbal learning, fluency, and processing speed with anxious-depression symptomatology among diverse Hispanic/Latinos. We hypothesize an inverse association of anxious-depression with neurocognition among Hispanic/Latinos of different heritage. Design Data are from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). The sample included 9,311participants aged 45–74 years (Mean:56.6). A latent class analysis of items from the Center for Epidemiological Studies for Depression (CESD-10 item) and the Spielberger State-Trait Anxiety Inventory was used to derive an anxious-depression construct. Neurocognitive measures included scores on the Brief Spanish English Verbal Learning Test (B-SEVLT learning and recall trials), Word Fluency (WF), Digit Symbol Substitution (DSS) test and a Global Cognitive Score (GCS). We fit survey linear regression models to test the associations between anxious-depression symptomatology and cognitive function. Results Among men, 71% reported low, 24% moderate, and 5% high ADS. Among women, 54.7% reported low, 33.2% moderate, and 12.2% high ADS. After controlling for age, sex, weight, socio-demographic characteristics, cardiovascular risk factors, and antidepressant use, we found significant inverse associations between moderate and high anxious-depression (ref:low) with B-SEVLT learning and recall, DSST and GCS (p-values≤0.05). Moderate, but not high, anxious-depression was inversely associated with WF (p-value<0.05). Conclusion Increased anxious-depression symptomatology is associated with decreased neurocognitive function among Hispanic/Latinos. Longitudinal studies are needed to establish temporality and infer if negative emotional symptoms precede cognitive deficits.

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Section: Methodssupporting

confidence: 57%

Anxious Depression and Neurocognition among Middle-Aged and Older Hispanic/Latino Adults: Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Results

Camacho

Tarraf

Jimenez

et al. 2018

The American Journal of Geriatric Psychiatry

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“…In LCA, constructs/classes are defined based on a set of indicators (Collins & Lanza, 2010). LCA will provide the probability of being in each class for each observation (Roesch, Villodas, & Villodas, 2010). LCA has been used in the social and behavioral sciences to identify patterns of child outcomes as well as protective and risk factors for vulnerable families and youth (Berzenski & Yates, 2011;Nooner et al, 2010).…”

Section: Analysis Planmentioning

confidence: 99%

Dimensions of Structural Disadvantage: A Latent Class Analysis of a Neighborhood Measure in Child Welfare Data

Abner

2013

Journal of Social Service Research

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Contextual constructs, such as neighborhood structure, may contribute to child welfare involvement. Secondary data analysis is used with the nationally representative, longitudinal National Survey of Child and Adolescent Well-Being-II (N = 5,872). This study employs latent class analysis (LCA) to identify the number of classes needed to explain the distribution of caregiver responses on the Community Environment Scale. LCA is ideal for this study to identify meaningful groups of caregivers involved with child welfare using neighborhood risk factors. Three latent classes are identified: high social order/medium social capital; high social order/low social capital; low social order/low social capital. Multinomial logistic regression tests whether there are significant differences across the classes, partially validating the LCA that poor, minority caregivers live in neighborhoods with lower social order and capital. Understanding neighborhoods as "high" versus "low" risk may not fully illuminate contextual risk factors in order to develop neighborhood-based interventions. This study reveals that there is a third group of caregivers who reside in places with higher social order but lower social capital. Social capital might be an important factor in preventing child maltreatment. Future work is needed to understand additional individual and neighborhood characteristics that predict membership in each class.

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“…In addition, assessing for the interaction terms between types of abuse and neglect may prove tedious and difficult to interpret. For these reasons, the use of a person-based approach, such as latent class analysis (LCA) is preferred over variable-centered models (Roesch, Villodas, & Villodas, 2010) for the assessment of the impact of multiple types of or co-occurrence between different types of abuse and neglect (Armour, Elklit, & Christoffersen, 2014;Berzenski & Yates, 2011;Nooner et al, 2010). Latent class analysis classifies individuals into classes or groups based on similar responses to categorical observed variables.…”

Section: Introductionmentioning

confidence: 99%

Severity of maltreatment and personality pathology in adolescents of Jammu, India: A latent class approach

Charak

Koot

2015

Child Abuse & Neglect

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Latent class/profile analysis in maltreatment research: A commentary on Nooner et al., Pears et al., and looking beyond

Cited by 120 publications

References 60 publications

Anxious Depression and Neurocognition among Middle-Aged and Older Hispanic/Latino Adults: Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Results

Anxious Depression and Neurocognition among Middle-Aged and Older Hispanic/Latino Adults: Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Results

Dimensions of Structural Disadvantage: A Latent Class Analysis of a Neighborhood Measure in Child Welfare Data

Severity of maltreatment and personality pathology in adolescents of Jammu, India: A latent class approach

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