scholarly journals Psychosocial Mechanisms of Successful Aging Among Older Women Living With HIV: A Structural Equation Model

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 499-499
Author(s):  
Anna Rubtsova ◽  
Gina Wingood ◽  
Igho Ofotokun ◽  
Deborah Gustafson ◽  
David Vance ◽  
...  
Keyword(s):  
Negative Affect ◽  
Older Women ◽  
Psychosocial Factors ◽  
Latent Variables ◽  
Successful Aging ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Women Living With Hiv ◽  
Living With Hiv

Abstract Although older women living with HIV (OWLH) face challenges related to the intersection of HIV and aging, our published research found significant prevalence of self-rated successful aging (SRSA) in a sample of OWLH enrolled in the Women’s Interagency HIV Study (WIHS). Studies in other populations link SRSA to positive psychosocial factors but little is known about SRSA mechanisms among OWLH. The purpose of this study is to test a conceptual psychosocial model of SRSA. Our sample (N=356) included OWLH enrolled in WIHS who participated in the “From Surviving to Thriving” (FROST) substudy and completed psychosocial and cognitive assessments: average age 56.5 years, 73% Black, 55% with annual income ≤ $12,000, 74% having 3 or more comorbidities, median CD4=673 cells/ml (Q1=486; Q3=880). SRSA was assessed using a research-based 10-point scale (higher scores=better outcomes). We conducted adjusted structural equation modeling. The global model included two latent variables -- protective attributes (composite of positive psychosocial factors: resilience, personal mastery, optimism, spirituality) and negative affect (composite of negative psychosocial factors: anxiety, depression, loneliness, internalized HIV-related stigma). The model showed good fit (χ2(65)=72.3, p=0.25; RMSE=0.02; CFI=0.99) and explained 21% of variance in SRSA. Increased protective attributes were associated with improved SRSA both directly (p<0.01) and indirectly, via improved coping with stress (p<0.001). While negative affect did not have a direct effect on SRSA, it was indirectly associated with worsened SRSA via diminished protective attributes (p<0.001). Findings suggest the need for interventions enhancing positive and mitigating negative psychosocial factors to promote SRSA among OWLH.

scholarly journals HIV MADE ME STRONGER: CONCEPTIONS OF SUCCESSFUL AGING AMONG OLDER WOMEN LIVING WITH HIV

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S765-S765
Author(s):  
Anna A Rubtsova ◽  
Tonya Taylor ◽  
Gina Wingood ◽  
Igho Ofotokun ◽  
Deborah Gustafson ◽  
...  
Keyword(s):  
Data Collection ◽  
Qualitative Study ◽  
Older Women ◽  
Successful Aging ◽  
Life Course Perspective ◽  
Stable Phase ◽  
Structured Interviews ◽  
Women Living With Hiv ◽  
Living With Hiv

Abstract Little is known about successful aging (SA) among older (50+) women living with HIV (OWLH). Therefore, the purpose of this qualitative study was to examine subjective understandings of SA among OWLH. Participants were OWLH enrolled in the Women’s Interagency HIV Study (WIHS) and those not enrolled in WIHS: 8 in Atlanta, GA (3 WIHS and 5 non-WIHS) and 9 in Brooklyn, NY (6 WIHS and 3 non-WIHS). Semi-structured interviews ranged from 30 to 120 minutes. Several themes emerged in participants’ definitions of SA, e.g. self-care, taking HIV medications, and being resilient (“HIV made me stronger”). Both WIHS and non-WIHS participants emphasized life course perspective in their definitions of SA -- women viewed their aging successful as a more stable phase of life in contrast to hardships they experienced while being younger (e.g., drug use, incarceration). Data collection efforts are ongoing and will allow further characterization of SA among this population.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

scholarly journals Influences of Project Management Capabilities on the Organizational Performance of the Saudi Construction Industry

2019 ◽  
Vol 9 (3) ◽  
pp. 4144-4147 ◽  
Author(s):  
H. A. Sulieman ◽  
F. A. Alfaraidy
Keyword(s):  
Project Management ◽  
Organizational Performance ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Construction Enterprises ◽  
Construction Organizations ◽  
Set Up ◽  
Management Capabilities

This paper aims to study the relations between construction enterprises’ project management capabilities and organizational performance. A questionnaire survey was administered to 89 Saudi construction contracting organization administrative members. Data were obtained from 32 projects that were held during the last two years and were analyzed using structural equation modeling (SEM). It was hypothesized in this study that a construction organizational performance is influenced by project management capabilities within the enterprise. A structural equation model was set up to measure the above two latent variables through their constituent variables. This study introduced a method to measure performance both in qualitative and quantitative terms. The strong path coefficients between the constructs of the model are an indication that after decades in pursuit of finding ways to improve the performance of construction organizations, subjective dimensions of performance have proven to be as effective as the traditional objective dimensions.

Factors affecting health promoting behavior among older women in Korea: a structural equation model

2020 ◽  
Author(s):  
Jihyun Oh
Keyword(s):  
Social Support ◽  
Older Women ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Perceived Benefits ◽  
Health Promoting Behaviors ◽  
Health Promoting ◽  
Fit Index

Summary The purpose of this study was to explain the health promoting behaviors of older women in South Korea using a structural equation model. The health promotion model developed by Pender was used. A survey using self-administered questionnaires was carried out between 2 October 2016 and 26 November 2016, with 252 older women ≥65 years living in Korea. The data were analyzed using structural equation modeling. The fitness parameters of the modified model (χ2 = 227.243, df = 176, χ2/df = 1.29, p = 0.006, root mean square error of approximation = 0.034, goodness of fit index = 0.927, Tucker−Lewis Index = 0.979, comparative fit index = 0.984, normed fit index = 0.933) indicated its suitability as the research model. Perceived benefits of action and social support directly influenced health promoting behavior, and prior related behavior indirectly influenced health promoting behavior. Interventions should aim to directly improve social support and perceived benefits to increase health promoting behaviors.

Abstract P212: How Much Do Psychosocial Factors Mediate the Association Between Socioeconomic Status and 1-Year Angina After Myocardial Infarction?

2011 ◽  
Vol 4 (suppl_1) ◽  
Author(s):  
Donna M Buchanan ◽  
Kymberley K Bennett ◽  
Philip G Jones ◽  
Judith H Lichtman ◽  
John A Spertus
Keyword(s):  
Socioeconomic Status ◽  
Depressive Symptoms ◽  
Psychosocial Factors ◽  
Perceived Stress ◽  
Low Socioeconomic Status ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Reserve Capacity ◽  
Capacity Model

Background: Low socioeconomic status (SES) is associated with worse cardiovascular (CV) outcomes. The Reserve Capacity Model (RCM) is a published, but not yet fully tested, framework linking SES, psychosocial factors and health outcomes. “Reserve capacity” is one's inter-/intrapersonal resources for managing stress. We tested the RCM to determine what portion of the association between SES and angina frequency 1 year post-MI is attributable to psychosocial factors. Methods: In 2481 post-MI patients enrolled in the 19-center PREMIER registry, we used confirmatory factor analysis to create latent variables of health-related SES and reserve capacity (including social support, optimism, and internal health locus of control). Structural equation modeling was used to test the associations between baseline SES, 1-month psychosocial factors (perceived stress, reserve capacity, and depressive symptoms) and 1-yr angina, adjusting for age, sex, and baseline angina. Results: The overall correlation between SES and 1-yr angina was significant (r = -.21*). Of this, 37% was explained by psychosocial factors. (See figure.) Higher SES was associated with greater reserve capacity (r = .43*), which was strongly and inversely associated with stress (r = -.68*) and depressive symptoms (r = -.36*). Depressive symptoms were directly associated with angina (r = .12*). (*p < .05) Conclusion: These results validate the RCM, showing that perceived stress, reserve capacity, and depressive symptoms partially mediate the link between SES and 1-yr angina post-MI. This identifies possible areas for intervention to reduce SES-related disparities in angina and potentially other CV outcomes.

scholarly journals Healthy Aging in Older Women Living with HIV Infection: a Systematic Review of Psychosocial Factors

2017 ◽  
Vol 14 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Anna A. Rubtsova ◽  
Mirjam-Colette Kempf ◽  
Tonya N. Taylor ◽  
Deborah Konkle-Parker ◽  
Gina M. Wingood ◽  
...  
Keyword(s):  
Systematic Review ◽  
Hiv Infection ◽  
Older Women ◽  
Psychosocial Factors ◽  
Healthy Aging ◽  
Women Living With Hiv ◽  
Living With Hiv

Predictors of Falling in Older Maryland Drivers: A Structural-Equation Model

2006 ◽  
Vol 14 (3) ◽  
pp. 254-269 ◽  
Author(s):  
David E. Vance ◽  
Karlene K. Ball ◽  
Daniel L. Roenker ◽  
Virginia G. Wadley ◽  
Jerri D. Edwards ◽  
...  
Keyword(s):  
Older Adults ◽  
Physical Functioning ◽  
Latent Variables ◽  
Structural Equation ◽  
Fear Of Falling ◽  
Equation Model ◽  
Equation Modeling ◽  
Prevention Interventions ◽  
Reduced Mobility

Falls can impair health and reduce quality of life among older adults. Although many factors are related to falling, few analyses examine causal models of this behavior. In this study, factors associated with falling were explored simultaneously using structural-equation modeling. A variety of cognitive, physical-performance, and health measures were administered to 694 older adult drivers from the state of Maryland. The observed and latent variables of age, cognitive ability, physical functioning, health, and falling behavior were used to create a causal model. The model revealed that being older was associated with declines in cognition, and such cognitive declines predicted increased falling. Similarly, poorer health was related to poorer physical functioning, which, in turn, also predicted increased falling. This model indicates that in addition to existing fall-prevention interventions aimed at improving physical functioning, interventions to improve cognition and health might also be effective. It is speculated that fear of falling, which often results in reduced mobility among older adults, might account for the lack of a direct relationship between age and falling. This hypothesis should be examined in further research.

scholarly journals Examining Multilevel Factors Associated with the Process of Resilience among Women Living with HIV in a Large Canadian Cohort Study: A Structural Equation Modeling Approach

2019 ◽  
Vol 18 ◽  
pp. 232595821987128
Author(s):  
Roula Kteily-Hawa ◽  
Laura Warren ◽  
Mina Kazemi ◽  
Carmen H. Logie ◽  
Shazia Islam ◽  
...  
Keyword(s):  
Cohort Study ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Women Living With Hiv ◽  
Interacting Systems ◽  
Multiple Levels ◽  
Using Data ◽  
Living With Hiv ◽  
Univariate Analyses

Objectives: We examined how multiple, nested, and interacting systems impact the protective process of resilience for women living with HIV (WLWH). Methods: Using data from a Cohort Study, we conducted univariate analyses, multivariable logistic regression, and a 2-step structural equation modeling for the outcome, high resilience (N = 1422). Results: Participants reported high overall resilience scores with a mean of 62.2 (standard deviation = 8.1) and median of 64 (interquartile range = 59-69). The odds of having high resilience were greater for those residing in Quebec compared to Ontario (adjusted odds ratio [aOR] = 2.1 [1.6, 2.9]) and British Columbia (aOR = 1.8 [1.3, 2.5]). Transgender women had increased odds of high resilience than cisgender women (aOR = 1.9 [1.0, 3.6]). There were higher odds of resilience for those without mental health diagnoses (aOR = 2.4 [1.9, 3.0]), non-binge drinkers (aOR=1.5 [1.1, 2.1]), and not currently versus previously injecting drugs (aOR = 3.6 [2.1, 5.9]). Structural equation modeling confirmed that factors influencing resilience lie at multiple levels: micro, meso, exo, and macro systems of influence. Conclusion: There is a need to consider resilience as the interaction between the person and their environments, informing the development of multilevel interventions to support resilience among WLWH.

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