scholarly journals Sexual Behaviours and Sexual Health Among Middle-Aged and Older Adults in Britain: A Latent Class Analysis of The Natsal-3

2021 ◽  
Author(s):  
Junead Khan ◽  
Emily Greaves ◽  
Clare Tanton ◽  
Hannah Kuper ◽  
Thomas Shakespeare ◽  
...  
Keyword(s):  
Older Adults ◽  
Sexual Health ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Middle Aged ◽  
Men 2 ◽  
Sexual Behaviours ◽  
The Disabled ◽  
Nationally Representative

Objectives: Population-representative studies of the sexual health of middle-aged and older adults are lacking in aging societies. This study aimed to identify latent patterns of sexual behaviours and health of people aged 45-74. Methods: We conducted a latent class analysis of the National Attitudes and Sexual Lifestyles Survey (Natsal-3), a nationally representative survey conducted in Britain in 2011. Results: Of the 5260 respondents aged 45-74, 49% of men and 45% of women belonged to the Content Caseys class who reported good sexual health. The Infrequent Indigos (31% of men, 44% of women) were characterized by a lack of sexual activity, reported some dissatisfaction, and were more likely to have a disability. The Low-Functioning Lees (12% of men, 8% of women) reported some more disability and had issues with sexual functioning and higher levels of distress. The Multiple-Partnered Morgans (9% of men, 2% of women) were characterized by a greater number of sexual partners and several risk behaviours. Conclusions: The use of these four classes can aid in improved targeting of tailored sexual health services to improve sexual function, sexual satisfaction, reduce distress and risky behaviours among middle-aged and older adults. These services should be inclusive of the disabled community.

scholarly journals Multidimensional dependency subgroups in community-dwelling older adults: A latent class analysis

2020 ◽  
Vol 52 (2) ◽  
pp. 101-109
Author(s):  
Kely Rely ◽  
Delfino Vargas-Chanes ◽  
Carmen García-Peña ◽  
Guillermo Salinas-Escudero ◽  
Luis-Miguel Gutiérrez-Robledo ◽  
...  
Keyword(s):  
Older Adults ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Community Dwelling ◽  
Future Research ◽  
Class Analysis ◽  
Class Membership ◽  
Fit Statistics ◽  
Nationally Representative ◽  
Using Data

Objectives: Use latent class analysis (LCA) to identify patterns of multidimensional dependency in a sample of older adults and assess sociodemographic, predictors of class membership. Material and methods: Longitudinal data were usedfrom the Mexican Health and Aging Study (MHAS). 7,920 older adults, 55% women, were recruited. LCA were used to identify meaningful subgroups. LCA was conducted using MPlus version. The final class model was chosen based on the comparison of multiple fit statistics and theoretical parsimony, with models of increasing complexity analyzed sequentially until the best fitting model was identified. Covariates were incorporated to explore the association between these variables and class membership. Results: Three classes groups based on the nine indicators were identified: “Active older adults” was comprised of 64% of the sample participants, “Relatively independent” and “Physically impaired” were comprised of 26% and 10% of the sample. The “Active older adults” profile comprised the majority of respondents who exhibited high endorsement rates across all criteria. The profiles of the “Active older adults” and “Relatively independent” were comparatively more uniform. Finally, respondents belonging to the “Physically impaired” profile, the smallest subgroup, encompassed the individuals most susceptible to a poor dependency profile. Conclusions: These findings highlighted the usefulness to adopt a person-centered approach rather than a variable-centered approach, suggesting directions for future research and tailored interventions approaches to older adults with particular characteristics. Based on patterns of multidimensional dependency, this study identified a typology of dependency using data from a large, nationally representative survey.

The Patterns of Caregiving Activities for Family Caregivers of Older Adults in Hong Kong: An Exploratory Latent Class Analysis

2020 ◽  
Author(s):  
Jing Huang ◽  
Pui Hing Chau ◽  
Edmond Pui Hang Choi ◽  
Bei Wu ◽  
Vivian W Q Lou
Keyword(s):  
Older Adults ◽  
Hong Kong ◽  
Activities Of Daily Living ◽  
Latent Class Analysis ◽  
Family Caregivers ◽  
Caregiver Burden ◽  
Daily Living ◽  
Latent Class ◽  
Class Analysis ◽  
High Demand

Abstract Objectives This study identified the classes (i.e., patterns) of caregivers’ activities, based on their engagements in caregiving activities, and explored the characteristics and the caregiver burden of these classes. Methods This study was a secondary analysis of a cross-sectional survey on the profiles of family caregivers of older adults in Hong Kong. A latent class analysis approach was adopted to classify family caregivers (N = 932) according to their routine involvements in 17 daily caregiving activities: 6 activities of daily living (ADLs) and 8 instrumental activities of daily living activities (IADLs) in addition to emotional support, decision making, and financial support. Multinomial logistic regression and multiple linear regression illuminated the characteristics of the classes and compared their levels of caregiver burden. Results The family caregivers fell into 5 classes: All-Round Care (High Demand, 19.5%), All-Round Care (Moderate Demand, 8.2%), Predominant IADLs Care (High Demand, 23.8%), Predominant IADLs Care (Moderate Demand, 32.5%), and Minimal ADLs and IADLs Care (Low Demand, 16.0%). These classes exhibited different characteristics in terms of care recipients’ cognitive statuses and caregiver backgrounds. The levels of caregiver burden differed across classes; the All-Round Care (High Demand) class experienced the highest levels of caregiver burden. Discussion This study contributes to existing scholarship by turning away from a predefined category of care tasks to explore the patterns of caregiving activities. By identifying caregiving activity patterns and understanding their associated characteristics and caregiver burden, prioritizing and targeting caregiver support interventions better is possible.

scholarly journals Using the Past to Predict the Future: Latent Class Analysis of Patterns of Health Service Use of Older Adults in the Emergency Department

2014 ◽  
Vol 62 (4) ◽  
pp. 711-715 ◽  
Author(s):  
S. Nicole Hastings ◽  
Heather E. Whitson ◽  
Richard Sloane ◽  
Lawrence R. Landerman ◽  
Carolyn Horney ◽  
...  
Keyword(s):  
Older Adults ◽  
Emergency Department ◽  
Health Service ◽  
Latent Class Analysis ◽  
Service Use ◽  
Latent Class ◽  
Health Service Use ◽  
Class Analysis ◽  
The Past ◽  
The Future

scholarly journals Oral health status in older adults with social security in Mexico City: latent class analysis

2014 ◽  
pp. e29-35 ◽  
Author(s):  
S. Sanchez-Garcia ◽  
E. Heredia-Ponce ◽  
P. Cruz-Hervert ◽  
T. Juarez-Cedillo ◽  
Á. Cardenas-Bahena ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Status ◽  
Oral Health ◽  
Social Security ◽  
Latent Class Analysis ◽  
Mexico City ◽  
Latent Class ◽  
Oral Health Status ◽  
Class Analysis

scholarly journals Patterns of Alcohol Use among Italian Young Adults before and during a COVID-19 lockdown: A Latent Class Analysis Study

2021 ◽  
Author(s):  
Giovanni Aresi ◽  
Angela Sorgente ◽  
Michael J. Cleveland ◽  
Elena Marta
Keyword(s):  
Young Adults ◽  
Alcohol Use ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Secondary Analysis ◽  
Stress And Coping ◽  
Class Analysis ◽  
Nationally Representative ◽  
And Coping ◽  
Representative Samples

Introduction: Two not mutually exclusive theories have been proposed to explain the effects of the COVID-19 pandemic on alcohol use: The Availability hypothesis contends that reduced opportunities to drink due to the closure of outlets and consumption sites should lead to decreases in alcohol use, whereas the Stress and Coping hypothesis argues that those exposed to stressful situations may increase drinking. Aims: This study aimed to test such hypotheses by describing pre/during-COVID-19-pandemic changes in patterns of alcohol use among the Italian young adults (18–34 years).Methods: This study involves the secondary analysis of data collected in 2015 and 2020 from nationally representative samples of Italian young adults. Latent class analysis (LCA) was used to identify common patterns of alcohol use.Results: Five classes were found: current non-drinker class (CND), weekend risky (WRD) and weekend non-risky drinkers (WnRD), daily non-risky (DnRD) and daily risky drinkers (DRD). Results indicate gender-specific changes in the prevalence of the five drinker profiles from 2015 to 2020.Conclusions: In support to the Availability hypothesis, increases in abstaining women and men were observed, however among men there were also increases in the prevalence of patterns characterized by risky drinking and related harm (Stress and Coping hypothesis).

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