Risks and subgroups of cognitive impairment under different marital status among older adults: a latent profile analysis

Background and objective: With aging, cognitive impairment is severe in the aging society. This paper aimed to investigate the association between cognitive impairment and marital status and the empirical typology of cognitive impairment in Chinese aging population. Methods: Descriptive statistics were performed by retrieving data from the China Health and Retirement Longitudinal Study (CHARLS) to test the relation between cognitive impairment and marital status with univariate linear regression and multivariate linear regression. The subgroups of cognitive impairment for included older subjects were identified with latent profile analysis (LPA). Results: The sample included 13,149 participants aged 40 years or older. Both unmarried males and females suffer lower cognitive function than married males and females (P < 0.001). The declining trend remained consistent (P < 0.05) after adjustment for covariates. The participants who were illiterate or older or agricultural hukou had lower cognitive functions than their counterparts. LPA results showed that the cognitive function of participants could be divided into three subgroups. Conclusions: Unmarried males and females had lower cognitive function than that of married counterparts due to the declined percentage of class two, who have high mental intactness and episodic memory.

Stress generation theory in couples with depression: A latent profile analysis

Journal of Social and Personal Relationships ◽

10.1177/0265407520919992 ◽

2020 ◽

Vol 37 (7) ◽

pp. 2205-2228

Author(s):

Preston Morgan ◽

Richard Dell’lsola ◽

Bornell Nicholson ◽

Chelsea Spencer

Keyword(s):

Depressive Symptoms ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Stress Generation ◽

Female Partners ◽

Generation Theory ◽

Males And Females ◽

Relationship Instability ◽

As Relationship ◽

Depressive symptoms and conflict negatively affect romantic relationships, but does this differ among couples? Using a stress generation theory framework, we aim to understand the types of profiles based on both partners’ responses of depressive symptoms and conflict. We used data from 1,598 German couples (different-sex) and conducted latent profile analyses in order to examine if there are different profiles of couples related to the male and female partners’ depressive symptoms and levels of conflict. We then examined if these profiles predicted relationship instability 1 year later. Our results revealed four profiles: congruent low conflict, incongruent female moderate conflict, incongruent male moderate conflict, and congruent moderate conflict. Both males and females in the congruent low and moderate conflict profiles showed agreement in their level of depressive symptoms and conflict, hence congruent. However, males and females differed in their levels of depressive symptoms and conflict in two incongruent profiles. For example, females in the incongruent female moderate conflict profile had higher levels of depressive symptoms and conflict than their partners. Prior depressive symptoms and conflict increased the odds of being in the incongruent female moderate conflict, incongruent male moderate conflict, and congruent moderate conflict profiles compared to the congruent low conflict profile. The congruent moderate conflict profile had the highest probability of relationship instability 1 year later. This study adds to our knowledge about the different profiles of couples with depressive symptoms and conflict as well as relationship instability.

Predicting conversion to dementia in a memory clinic: A standard clinical approach compared with an empirically defined clustering method (latent profile analysis) for mild cognitive impairment subtyping

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring ◽

10.1016/j.dadm.2015.10.003 ◽

2015 ◽

Vol 1 (4) ◽

pp. 447-454 ◽

Cited By ~ 9

Author(s):

Bernadette McGuinness ◽

Suzanne L. Barrett ◽

John McIlvenna ◽

Anthony Peter Passmore ◽

Gillian W. Shorter

Keyword(s):

Cognitive Impairment ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Clinical Approach ◽

Memory Clinic ◽

Clustering Method ◽

Statistically Derived Subtypes and Associations with Cerebrospinal Fluid and Genetic Biomarkers in Mild Cognitive Impairment: A Latent Profile Analysis

Journal of the International Neuropsychological Society ◽

10.1017/s135561771700039x ◽

2017 ◽

Vol 23 (7) ◽

pp. 564-576 ◽

Cited By ~ 22

Author(s):

Joel S. Eppig ◽

Emily C. Edmonds ◽

Laura Campbell ◽

Mark Sanderson-Cimino ◽

Lisa Delano-Wood ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cerebrospinal Fluid ◽

Cognitive Impairment ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Diagnostic Methods ◽

Csf Biomarkers ◽

AbstractObjectives: Research demonstrates heterogeneous neuropsychological profiles among individuals with mild cognitive impairment (MCI). However, few studies have included visuoconstructional ability or used latent mixture modeling to statistically identify MCI subtypes. Therefore, we examined whether unique neuropsychological MCI profiles could be ascertained using latent profile analysis (LPA), and subsequently investigated cerebrospinal fluid (CSF) biomarkers, genotype, and longitudinal clinical outcomes between the empirically derived classes. Methods: A total of 806 participants diagnosed by means of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) MCI criteria received a comprehensive neuropsychological battery assessing visuoconstructional ability, language, attention/executive function, and episodic memory. Test scores were adjusted for demographic characteristics using standardized regression coefficients based on “robust” normal control performance (n=260). Calculated Z-scores were subsequently used in the LPA, and CSF-derived biomarkers, genotype, and longitudinal clinical outcome were evaluated between the LPA-derived MCI classes. Results: Statistical fit indices suggested a 3-class model was the optimal LPA solution. The three-class LPA consisted of a mixed impairment MCI class (n=106), an amnestic MCI class (n=455), and an LPA-derived normal class (n=245). Additionally, the amnestic and mixed classes were more likely to be apolipoprotein e4+ and have worse Alzheimer’s disease CSF biomarkers than LPA-derived normal subjects. Conclusions: Our study supports significant heterogeneity in MCI neuropsychological profiles using LPA and extends prior work (Edmonds et al., 2015) by demonstrating a lower rate of progression in the approximately one-third of ADNI MCI individuals who may represent “false-positive” diagnoses. Our results underscore the importance of using sensitive, actuarial methods for diagnosing MCI, as current diagnostic methods may be over-inclusive. (JINS, 2017, 23, 564–576)

Distilling Heterogeneity of Mild Cognitive Impairment in the National Alzheimer Coordinating Center Database Using Latent Profile Analysis

JAMA Network Open ◽

10.1001/jamanetworkopen.2020.0413 ◽

2020 ◽

Vol 3 (3) ◽

pp. e200413 ◽

Cited By ~ 4

Author(s):

Anna E. Blanken ◽

Jung Yun Jang ◽

Jean K. Ho ◽

Emily C. Edmonds ◽

S. Duke Han ◽

...

Keyword(s):

Cognitive Impairment ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Latent Profile Analysis of Neuropsychiatric Symptoms and Cognitive Function of Adults 2 Weeks After Traumatic Brain Injury

JAMA Network Open ◽

10.1001/jamanetworkopen.2021.3467 ◽

2021 ◽

Vol 4 (3) ◽

pp. e213467

Author(s):

Benjamin L. Brett ◽

Mark D. Kramer ◽

John Whyte ◽

Michael A. McCrea ◽

Murray B. Stein ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Cognitive Function ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Neuropsychiatric Symptoms ◽

A Latent Profile Analysis of Young Adult Lifestyle Behaviors

American Journal of Health Behavior ◽

10.5993/ajhb.43.6.12 ◽

2019 ◽

Vol 43 (6) ◽

pp. 1148-1161

Author(s):

Ryan Grant ◽

Jennifer N. Becnel ◽

Zachary D. Giano ◽

Amanda L. Williams ◽

Dylan Martinez

Keyword(s):

Young Adult ◽

Transition To Adulthood ◽

Latent Profile Analysis ◽

Vegetable Intake ◽

Profile Analysis ◽

Adult Males ◽

Physical And Mental Health ◽

Heavy Drinkers ◽

Males And Females ◽

Objective: The aim of this study was to identify lifestyle profiles of young adult males and females based on their alcohol, diet, and exercise behaviors and then link these profiles with health. Method: We used the nationally representative 2017 Behavioral Risk Factor Surveillance System (BRFSS; N = 17,286; 47% female; Mage = 23.22; SD = 3.16; 65% white) to examine profiles of alcohol use, daily fruit and vegetable intake, fried potato intake, and exercise per week using latent profile analysis. Participants also reported the days their general, physical, and mental health were poor and BMI. Results: Five distinct profiles for both males and females were identified: Healthy Eaters/Exercisers, Moderates, Unhealthy Eaters, Medium Drinkers, and Heavy Drinkers. Heavy Drinkers and Unhealthy Eaters reported the most days of poor mental and physical health. Conclusions: Heavy drinkers and unhealthy eaters had the highest number of days of poor health, which also places them at risk for a host of health adversities throughout adulthood. Examining motivations behind young adults' patterns of consumption and activity is an important future direction to identify mechanisms for healthy lifestyle promotion during the transition to adulthood.

Heterogeneity of Informant-Reported Functional Performance in Mild Cognitive Impairment: A Latent Profile Analysis of the Functional Activities Questionnaire

Journal of Alzheimer s Disease ◽

10.3233/jad-180975 ◽

2019 ◽

Vol 68 (4) ◽

pp. 1611-1624 ◽

Cited By ~ 3

Author(s):

Rachel Mis ◽

Kathryn Devlin ◽

Deborah Drabick ◽

Tania Giovannetti

Keyword(s):

Cognitive Impairment ◽

Latent Profile Analysis ◽

Functional Performance ◽

Profile Analysis ◽

Functional Activities ◽

Complex Trauma and Criminogenic Needs in a Youth Justice Sample: A Gender-Informed Latent Profile Analysis

Criminal Justice and Behavior ◽

10.1177/0093854820964513 ◽

2020 ◽

pp. 009385482096451

Author(s):

Shelley L. Brown ◽

Kayla A. Wanamaker ◽

Leigh Greiner ◽

Terri Scott ◽

Tracey A. Skilling

Keyword(s):

Latent Profile Analysis ◽

Complex Trauma ◽

Profile Analysis ◽

Learning Models ◽

Youth Justice ◽

Canadian Youth ◽

Criminogenic Needs ◽

Trauma Informed ◽

Males And Females ◽

How complex trauma features and criminogenic needs co-vary within youth justice populations requires examination. This study applies latent profile analysis to a sample of 311 justice-involved Canadian youth (211 male, 100 female) to identify if unique profiles of youth would emerge delineated by different combinations of comorbid needs pulled from complex trauma and personality/social learning models. Two similar profiles emerged for males and females alike: a complex trauma with criminogenic needs profile (70% of females, 58.8% of males) and a low overall needs profile (30% of females, 41.2% of males). Surprisingly, the Youth-Level Service/Case Management Inventory predicted recidivism well among the complex trauma/criminogenic need female cases (AUC = .71), but poorly among the complex trauma/criminogenic need male cases (AUC = .59). Trauma-informed approaches that target criminogenic needs in both genders is a clear implication of the findings.