scholarly journals The Bidirectional Relationship Between Depressive Symptoms and Homebound Status Among Older Adults

2018 ◽  
Vol 75 (2) ◽  
pp. 357-366 ◽  
Author(s):  
Xiaoling Xiang ◽  
Ruopeng An ◽  
Hyunsung Oh
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Root Mean Square ◽  
Structural Equation ◽  
The State ◽  
Community Dwelling ◽  
Equation Modeling ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Bidirectional Relationship

Abstract Objectives This study aimed to examine the bidirectional relationship between depressive symptoms and homebound status among older adults. Method The study sample included 7,603 community-dwelling older adults from the National Health and Aging Trends Study. A bivariate latent state-trait model of depressive symptoms and homebound status was estimated via structural equation modeling. Results The model fit the data well (Root Mean Square Error of Approximation = .02, Comparative Fit Index = .97, Standardized Root Mean Square Residual = .06). The relationship between homebound status and depressive symptoms can be decomposed into three parts: a moderate correlation between the stable trait components (r = .56, p <.001); a contemporary association of the state components (b = .17, p <.001); and bidirectional lagged effects between the state components. Change in homebound status was as a stronger predictor of depressive symptoms (b = .19, p < .001) than change in depressive symptoms was of homebound status (b = .06, p < .001; test of difference: Δ scaled χ2(1) = 24.2, p < .001). Discussion Homebound status and depressive symptoms form a feedback loop to influence each other. Improving the outdoor mobility of older adults may have immediate benefits for reducing depressive symptoms.

The Adult-Oriented Sport Coaching Survey: An Instrument Designed to Assess Coaching Behaviors Tailored to Adult Athletes

2020 ◽  
Vol 42 (5) ◽  
pp. 368-385
Author(s):  
Scott Rathwell ◽  
Bradley W. Young ◽  
Bettina Callary ◽  
Derrik Motz ◽  
Matt D. Hoffmann ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Root Mean Square ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Confirmatory Factor ◽  
Masters Athletes ◽  
Fit Index

Adult sportspersons (Masters athletes, aged 35 years and older) have unique coaching preferences. No existing resources provide coaches with feedback on their craft with Masters athletes. Three studies evaluated an Adult-Oriented Coaching Survey. Study 1 vetted the face validity of 50 survey items with 12 Masters coaches. Results supported the validity of 48 items. In Study 2, 383 Masters coaches completed the survey of 50 items. Confirmatory factor analysis and exploratory structural equation modeling indicated issues with model fit. Post hoc modifications improved fit, resulting in a 22-item, five-factor model. In Study 3, 467 Masters athletes responded to these 22 items reflecting perceptions of their coaches. Confirmatory factor analysis (comparative fit index = .951, standardized root mean square residual = .036, and root mean square error of approximation = .049) and exploratory structural equation modeling (comparative fit index = .977, standardized root mean square residual = .019, and root mean square error of approximation = .041) confirmed the model. The resultant Adult-Oriented Sport Coaching Survey provides a reliable and factorially valid instrument for measuring adult-oriented coaching practices.

scholarly journals Erfassung der Emotionsregulation bei Jugendlichen anhand des „Affective Style Questionnaire – Youth (ASQ-Y)“

Diagnostica ◽  
2019 ◽  
Vol 65 (1) ◽  
pp. 49-59
Author(s):  
Johannes Graser ◽  
Christiane Heimlich ◽  
Augustin Kelava ◽  
Stefan G. Hofmann ◽  
Ulrich Stangier ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Root Mean Square Error ◽  
Root Mean Square ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mean Square ◽  
Affective Style ◽  
Root Mean Square Residual ◽  
Fit Index ◽  
Tucker Lewis Index

Zusammenfassung. Zur Erfassung der 3 Emotionsregulationsstrategien Unterdrücken, Anpassen / Neubewerten und Akzeptieren wurde der Affective Style Questionnaire für Jugendliche (ASQ-Y) adaptiert und an einer entsprechenden Stichprobe (N = 1 092) validiert. Die Dimensionalität des englischen Originalfragebogens und der deutschen Version für Erwachsene konnte auch für Jugendliche bestätigt werden. Während der Analyse kam das ESEM-Verfahren (Exploratory Structural Equation Modeling) zum Einsatz, die Kennwerte bewegten sich im akzeptablen bis sehr guten Bereich. Der Comparative Fit Index (CFI) erreichte einen akzeptablen Wert von .938, ebenso der Tucker–Lewis Index (TLI) mit einem Wert von .911. Der Root Mean Square Error of Approximation (RMSEA) lag bei einem sehr guten Wert von .050, das Standardized Root Mean Square Residual (SRMR) erreichte einen guten Wert von .030. Die internen Konsistenzen der 3 Skalen (Unterdrücken: α = .77; Anpassen / Neubewerten: α = .76; Akzeptieren: α = .76) erreichten (vergleichbar mit dem englischen Original und der deutschen Erwachsenenstichprobe) zufriedenstellende Werte. Die Subskalen zeigten hypothesenkonforme diskriminante und konvergente Zusammenhänge mit etablierten Verfahren des Forschungsbereichs Emotionsregulation, was für die Konstruktvalidität spricht. Insgesamt ist der ASQ-Y als Messinstrument zur Erfassung von verschiedenen Emotionsregulationsstrategien bei Jugendlichen geeignet und ökonomisch in seiner Anwendung. Der ASQ-Y kann in der Allgemeinbevölkerung und in der Prävention eingesetzt werden. Nach entsprechender Validierung ist der Einsatz auch im klinischen Setting möglich.

scholarly journals Multiple Linear Regression-Structural Equation Modeling Based Development of the Integrated Model of Perceived Neighborhood Environment and Quality of Life of Community-Dwelling Older Adults: A Cross-Sectional Study in Nanjing, China

2019 ◽  
Vol 16 (24) ◽  
pp. 4933 ◽  
Author(s):  
Fan Zhang ◽  
Dezhi Li
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Structural Equation ◽  
Daily Life ◽  
Community Dwelling ◽  
Neighborhood Environment ◽  
Equation Modeling ◽  
Community Dwelling Older Adults ◽  
Perceived Neighborhood Environment

Due to the poor functioning in daily living activities, community-dwelling older adults spend more time in their neighborhood environment. The perceived neighborhood environment is crucial to their quality of life (QoL). To explore the complex influences of perceived neighborhood environment on QoL, a questionnaire was designed to measure their perception of each factor of neighborhood environment and each domain of QoL. Based on collected data, the reliability test was applied to revise the questionnaire. Multiple linear regression (MLR) and structural equation modeling (SEM) were adopted to hypothesize and test the integrated model for community-dwelling older adults. The results show that community-dwelling older adults’ perceptions of neighbor support, facilities related to physical exercise and recreation, and accessibility to facilities impact their overall QoL with diverse coefficients of 0.437, 0.312, and 0.295, respectively; neighbor support (0.207) on physical health; sidewalk condition (0.134), natural environment (0.260), and facilities related to daily life (0.165) on psychological health; and neighbor support (0.298), facilities related to daily life (0.206), and design-related safety (0.225) on social relationship. This revealed that perceptions of neighborhood environment have diverse impacts on their QoL. This study can provide targeted retrofit strategies for communities to enhance QoL of community-dwelling older adults efficiently.

scholarly journals Relationship Between Millennials and Brand Loyalty: Mediating Brand Loyalty Factors

2017 ◽  
Vol 5 (3) ◽  
pp. 223
Author(s):  
Dhameeth, S. Gehan ◽  
Ochi, Yamamoto
Keyword(s):  
Root Mean Square ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Brand Management ◽  
Management Strategies ◽  
Second Phase ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Mediating Factors ◽  
The Relationship

<p><em>The purpose of this study is to identify factors (brand elements) that mediate between Millennials and brand loyalty, and to test a theoretical model that includes these mediating factors in describing the relationship between millennials and brand loyalty. The study focused on the key factors that we identified and hypothesized to mediate the relationship between millennials and brand loyalty. The quantitative study surveyed two hundred and fifty-three (n=253) respondents randomly drawn. Structural Equation Modelling (SEM) was used to test a model of the relationship between the mediating factors, millennials and brand loyalty. All model fit parameters were well within acceptable bounds. The Comparative Fit Index (CFI) was 0.999, Root Mean Square Error of Approximation (RMSEA) was 0.018, and Standardized Root Mean Square Residual (SRMR) was 0.022. However, we believe that the model is over-fitting the data, and this is not surprising given that there are 22 variables and 253 data points. These results show promise, but require further investigation in a second phase of the inquiry. This study limited itself to surveying millennials, brand loyalty, and the seven mediating factors we identified and hypothesized to play a role in mediating between them. Based on this study, brand management strategies are proposed.</em><em></em></p>

scholarly journals Using structural equation modeling in the understanding of functional disability in older adults

2021 ◽  
Vol 29 ◽  
Author(s):  
Darlene Mara dos Santos Tavares ◽  
Nayara Gomes Nunes Oliveira ◽  
Flavia Aparecida Dias Marmo ◽  
Joilson Meneguci
Keyword(s):  
Older Adults ◽  
Sedentary Behavior ◽  
Structural Equation ◽  
Functional Disability ◽  
Depressive Symptomatology ◽  
Age Groups ◽  
Community Dwelling ◽  
Likelihood Method ◽  
Equation Modeling ◽  
Cross Sectional

Objective: to analyze functional disability and its associated factors among community-dwelling older adults. Method: a cross-sectional study, conducted with 1,635 older adults distributed in the following age groups: 60 to 69, 70 to 79, and 80 years old or more, living in a health macro-region of the state of Minas Gerais. Descriptive and trajectory analysis was carried out (p<0.05). The parameters were estimated by the Maximum Likelihood method. Results: the highest percentage was female, with a monthly income of 1 minimum wage and living with a companion. In the age groups from 60 to 69 and from 70 to 79 years old, older adults with a partner predominated; and, among those aged 80 years old or more, widowed individuals prevailed. In the three groups, functional disability occurred hierarchically. Lower schooling, frailty and depressive symptomatology were factors directly associated with functional disability in the advanced activities; frailty and sedentary behavior were directly associated with functional disability in the instrumental activities. In the older adults aged between 60 and 69 years old and from 70 to 79 years old, sedentary behavior was associated with greater dependence on the basic activities. Conclusion: the expanded understanding of the factors in the functional disability of the older adults, according to age group, helps the health professional in the development of preventive measures for this disease.

scholarly journals Longitudinal Relationships Between Subjective Cognitive Decline and Objective Memory: Depressive Symptoms Mediate Between-Person Associations

2021 ◽  
pp. 1-14
Author(s):  
Nikki L. Hill ◽  
Sakshi Bhargava ◽  
Emily Bratlee-Whitaker ◽  
Jennifer R. Turner ◽  
Monique J. Brown ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Cognitive Decline ◽  
Structural Equation ◽  
Disease Risk ◽  
Well Being ◽  
Equation Modeling ◽  
Subjective Cognitive Decline ◽  
Future Research ◽  
Over Time

Background: Subjective cognitive decline (SCD) may be an early indicator of cognitive impairment, but depressive symptoms can confound this relationship. Associations may be influenced by differences between individuals (i.e., between-persons) or how each individual changes in their experiences over time (i.e., within-persons). Objective: We examined depressive symptoms as a mediator of the between- and within-person associations of SCD and objective memory in older adults. Methods: Coordinated analyses were conducted across four datasets drawn from large longitudinal studies. Samples (range: n = 1,889 to n = 15,841) included participants 65 years of age or older with no dementia at baseline. We used multilevel structural equation modeling to examine the mediation of SCD and objective memory through depressive symptoms, as well as direct relationships among SCD, objective memory, and depressive symptoms. Results: Older adults who were more likely to report SCD had lower objective memory on average (between-person associations), and depressive symptoms partially mediated this relationship in three of four datasets. However, changes in depressive symptoms did not mediate the relationship between reports of SCD and declines in objective memory in three of four datasets (within-person associations). Conclusion: Individual differences in depressive symptoms, and not changes in an individual’s depressive symptoms over time, partially explain the link between SCD and objective memory. Older adults with SCD and depressive symptoms may be at greater risk for poor cognitive outcomes. Future research should explore how perceived changes in memory affect other aspects of psychological well-being, and how these relationships influence cognitive decline and Alzheimer’s disease risk.

Predictors of satisfaction with life among older adults

2017 ◽  
Vol 41 (S1) ◽  
pp. S177-S178
Author(s):  
S. Von Humboldt ◽  
I. Leal
Keyword(s):  
Older Adults ◽  
Sex Education ◽  
Adult Children ◽  
Sense Of Coherence ◽  
Structural Equation ◽  
Structural Model ◽  
Satisfaction With Life ◽  
Community Dwelling ◽  
Equation Modeling ◽  
Health Related

IntroductionIncreasing longevity brings challenges for older adults’ satisfaction with life (SWL).AimsThis study aims at exploring a structural model of predictors of SWL in a cross-national sample of older adults.MethodsA community-dwelling sample of 1234 older adults was assessed regarding SWL, sense of coherence (SOC) and socio-demographic, lifestyle and health-related characteristics. Structural equation modeling was used to investigate a structural model of the self-reported SWL, comprising SOC, socio-demographic characteristics (age, sex, education, marital and professional status, household, adult children, income, living setting and religion), lifestyle and health-related characteristics (physical activity, recent disease and medication).ResultsSignificant predictors are SOC (β = .733; P < .001), religion (β = .725; P < .001), income (β = .551; P < .001), adult children (β = .546; P < .001), education (β = –.403; P < .001), living setting (β = –.292; P < .001) and medication (β = –.197; P < .001). The variables accounted for 24.8% of the variability of SWL. Moreover, differences between the four nationality groups (F(3, 671) = 3.671, P = .066) were not found concerning SWL.ConclusionsSense of coherence is the strongest predictor of self-reported SWL. Other predictors are religion, income, adult children, education, living setting and medication. The four nationalities did not present significant differences, concerning SWL. This study highlights the factors that influence older adults’ SWL, namely, SOC, religion and income, as promoters of aging well, within a salutogenic model of health for older populations.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Measurement equivalence across gender and education in the WHOQOL-BREF for community-dwelling elderly Taiwanese

2016 ◽  
Vol 28 (8) ◽  
pp. 1375-1382 ◽  
Author(s):  
Chung-Ying Lin ◽  
Yueh-Ping Li ◽  
Sang-I Lin ◽  
Ching-Huey Chen
Keyword(s):  
Root Mean Square ◽  
Educational Level ◽  
Measurement Equivalence ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Mean Square ◽  
Cross Sectional ◽  
Root Mean Square Residual ◽  
Multiple Group

ABSTRACTBackground:The WHOQOL-BREF, a generic quality of life (QoL) instrument, has been widely used clinically and for research on older populations. However, its measurement equivalence/invariance (ME/I) has not been well examined for the elderly (≥ 65 years) across some different demographics.Methods:The data were derived from a cross-sectional study with a convenience sampling design in Taiwan. We enrolled 244 elderly participants: men = 143 (58.6%); educational level ≤ primary school = 121 (49.6%). The ME/I was examined using multiple group confirmatory factor analysis (MGCFA) across gender and educational level.Results:The fit indices were satisfactory for the configural models of gender and educational level (standardized root mean square residual [SRMR] = 0.0742 and 0.0770; root mean square error of approximation [RMSEA] = 0.0655 and 0.0686; comparative fit index [CFI] = 0.953). In addition, MGCFAs showed that ME/I was supported across gender (ΔSRMR = 0.001 to 0.019; ΔRMSEA = −0.003 to 0.001; ΔCFI = −0.003 to 0.000) and educational level (ΔSRMR = 0.002 to 0.006; ΔRMSEA = −0.002 to 0.004; ΔCFI = −0.007 to 0.000).Conclusion:The WHOQOL-BREF Taiwan version is appropriate for combined use and for comparisons in older people across gender and different educational levels.

The Effect of Latent and Error Non-Normality on Measures of Fit in Structural Equation Modeling

2021 ◽  
pp. 001316442110462
Author(s):  
Lisa J. Jobst ◽  
Max Auerswald ◽  
Morten Moshagen
Keyword(s):  
Structural Equation Modeling ◽  
Root Mean Square ◽  
Latent Variables ◽  
Structural Equation ◽  
Generalized Least Squares ◽  
Estimation Methods ◽  
Equation Modeling ◽  
Analytic Structure ◽  
Mean Square ◽  
Test Statistic

Prior studies investigating the effects of non-normality in structural equation modeling typically induced non-normality in the indicator variables. This procedure neglects the factor analytic structure of the data, which is defined as the sum of latent variables and errors, so it is unclear whether previous results hold if the source of non-normality is considered. We conducted a Monte Carlo simulation manipulating the underlying multivariate distribution to assess the effect of the source of non-normality (latent, error, and marginal conditions with either multivariate normal or non-normal marginal distributions) on different measures of fit (empirical rejection rates for the likelihood-ratio model test statistic, the root mean square error of approximation, the standardized root mean square residual, and the comparative fit index). We considered different estimation methods (maximum likelihood, generalized least squares, and (un)modified asymptotically distribution-free), sample sizes, and the extent of non-normality in correctly specified and misspecified models to investigate their performance. The results show that all measures of fit were affected by the source of non-normality but with varying patterns for the analyzed estimation methods.

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