Mixed-Methods Study of Disability Self-Management in Mexican Americans With Osteoarthritis.

BACKGROUND: Health disparities in osteoarthritis (OA) outcomes exist both in the occurrence and treatment of functional limitation and disability for Mexican Americans. Although the effect of self-management of chronic illness is well established, studies demonstrate little attention to self-management of function or disability, despite the strong potential effect on both and, consequently, on patients' lives. OBJECTIVE: The purpose of this study pilot was to develop and test key variable relationships for a measure of disability self-management among Mexican Americans. METHODS: In this sequential, two-phased, mixed-methods, biobehavioral pilot study of Mexican American women and men with OA, a culturally tailored measure of disability self-management was created, and initial relationships among key variables were explored. RESULTS: First, a qualitative study of 19 adults of Mexican American descent born in Texas (United States) or Mexico was conducted. The Mexican American Disability Self-Management Scale was created using a descriptive content analysis of interview data. The scale was tested and refined, resulting in 18 items and a descriptive frequency of therapeutic management efforts. Second, correlations between study variables were estimated: Disability and function were negatively correlated. Disability correlated positively with social support and activity effort. Disability correlated negatively with disability self-management, pain, and C-reactive protein. Function was positively correlated with age, pain, and depression. Liver enzymes (alanine transaminase) correlated positively with pain and anxiety. DISCUSSION: This mixed-methods study indicates directions for further testing and interventions for disability outcomes among Mexican Americans.

First-interview response patterns of intensive longitudinal psychological and health data.

Self-report data are essential in health psychology research where an individual's perception is critical to understanding one's health and psychological status. Intensive data collection over time, including daily diary assessments, is necessary in understanding within- and between-person variability in health and psychological processes over time. An "initial elevation or latent decline" (IELD) effect, inherent of self-report data, is increasingly acknowledged in the social psychology literature, but awareness of this effect in health psychology research is lacking, particularly in studies that emphasize within- and between-person variability in self-reports. The IELD effect is a pattern in which responses tend to be more extreme at the initial interview relative to subsequent responses. This paper illustrates the impact of IELD in applications of mixed-effects models based on observational self-reports and concludes that researchers take such effects into account in data analysis or in the research designing phase to help mitigate such effects.

Bayesian pattern-mixture models for dropout and intermittently missing data in longitudinal data analysis.

Valid inference can be drawn from a random-effects model for repeated measures that are incomplete if whether the data are missing or not, known as missingness, is independent of the missing data. Data that are missing completely at random or missing at random are two data types for which missingness is ignorable. Given ignorable missingness, statistical inference can proceed without addressing the source of the missing data in the model. If the missingness is not ignorable, however, recommendations are to fit multiple models that represent different plausible explanations of the missing data. A popular choice in methods for evaluating nonignorable missingness is a random-effects pattern-mixture model that extends a random-effects model to include one or more between-subjects variables that represent fixed patterns of missing data. Generally straightforward to implement, a fixed pattern-mixture model is one among several options for assessing nonignorable missingness, and when it is used as the sole model to address nonignorable missingness, understanding the impact of missingness is greatly limited. This paper considers alternatives to a fixed pattern-mixture model for nonignorable missingness that are generally straightforward to fit and encourage researchers to give greater attention to the possible impact of nonignorable missingness in longitudinal data analysis. Patterns of both monotonic and non-monotonic (intermittently) missing data are addressed. Empirical longitudinal psychiatric data are used to illustrate the models. A small Monte Carlo data simulation study is presented to help illustrate the utility of such methods.

Alternative covariance structures in mixed-effects models: Addressing intra- and inter-individual heterogeneity.

Mixed-effects models for repeated measures and longitudinal data include random coefficients that are unique to the individual, and thus permit subject-specific growth trajectories, as well as direct study of how the coefficients of a growth function vary as a function of covariates. Although applications of these models often assume homogeneity of the within-subject residual variance that characterizes within-person variation after accounting for systematic change and the variances of the random coefficients of a growth model that quantify individual differences in aspects of change, alternative covariance structures can be considered. These include allowing for serial correlations between the within-subject residuals to account for dependencies in data that remain after fitting a particular growth model or specifying the within-subject residual variance to be a function of covariates or a random subject effect to address between-subject heterogeneity due to unmeasured influences. Further, the variances of the random coefficients can be functions of covariates to relax the assumption that these variances are constant across subjects and to allow for the study of determinants of these sources of variation. In this paper, we consider combinations of these structures that permit flexibility in how mixed-effects models are specified to understand within- and between-subject variation in repeated measures and longitudinal data. Data from three learning studies are analyzed using these different specifications of mixed-effects models.

A latent variable mixed-effects location scale model that also considers between-person differences in the autocorrelation.

In public health research an increasing number of studies is conducted in which intensive longitudinal data is collected in an experience sampling or a daily diary design. Typically, the resulting data is analyzed with a mixed-effects model or mixed-effects location scale model because they allow one to examine a host of interesting longitudinal research questions. Here, we introduce an extension of the mixed-effects location scale model in which measurement error of the observed variables is considered by a latent factor model and in which-in addition to the mean-or location-related effects-the residual variance of the latent factor and the parameters of the autoregressive process of this latent factor can differ between persons. We show how to estimate the parameters of the model with a maximum likelihood approach, whose performance is also compared with a Bayesian approach in a small simulation study. We illustrate the models using a real data example and end with a discussion in which we suggest questions for future research.

The Life-Course Perspectives of Mexican American Men With Mobility Limitation.

The life-history narratives of 10 Mexican American men with mobility limitations, age 55-77 years (mean = 63.8, SD = 5.8), were explored using a qualitatively driven, life-history mixed-methods study to understand perceptions of mobility limitations over the life course. Within that methodological and paradigmatic framework, conceptualizations of alterity and masculinity guided interpretation of data. Through an iterative, thematic analysis, we detail the way the men's lives were influenced by growing familial responsibility with age. Quantitative data were integrated into themes of narrative inheritance, family, and masculinity. It was posited that masculinity with mobility limitations shaped and was shaped by ethnic identity and responsibility. This has implications for understanding the experience of Mexican American men over the life course.

Longitudinal Effects of Sex, Aging, and Multiple Sclerosis Diagnosis on Function.

BACKGROUND: A gap in research about the trajectories of function among men and women aging with functional limitations because of multiple sclerosis (MS) hinders ability to plan for future needs. OBJECTIVES: Using a biopsychosocial model, we characterize how men and women with MS report changes over time in their function and test how person-level differences in age, diagnosis duration, and sex influence perceived function. METHODS: A longitudinal study with multiple waves of surveys was used to collect data on participant perceptions of function, as well as demographic and contextual variables. Self-reported functional limitation was measured over a decade. The study participants were community residing with physician-diagnosed MS. RESULTS: The people with MS had a diagnosis duration of about 13 years and were around 51 years of age, on average, at the start of the study. They were primarily women and non-Hispanic White. We analyzed the data using mixed-effects models. Subject-specific, functional limitation trajectories were described best with a quadratic growth model. Relative to men, women reported lower functional limitation and greater between-person variation and rates of acceleration in functional limitation scores. DISCUSSION: Results suggest function progressed through two pathways for over a decade, particularly closer to diagnoses. Variability in trajectories between individuals based on sex and years since diagnosis of disease indicates that men and women with MS may experience perceptions of their function with age differently. This has implications for clinician advice to men and women with MS.

Wine Closure Performance of Three Common Closure Types: Chemical and Sensory Impact on a Sauvignon Blanc Wine.

A Napa Valley Sauvignon blanc wine was bottled with 200 each of a natural cork, a screw cap, and a synthetic cork. As browning is an index for wine oxidation, we assessed the brown color of each bottle with a spectrophotometer over 30 months. A random-effects regression model for longitudinal data on all bottles and closure groups found a browning growth trajectory for each closure group. Changes in the wine's browning behavior at 18 months and 30 months showed that the browning of the wine bottles appeared to slow down later in the storage period, especially for natural corks. The between-bottle variation was the highest for the natural cork. At 30 months, we separated the bottles by the extent of browning and samples were pulled from the high, mid, and low levels of browning levels for each closure. The degree of browning is inversely correlated with free SO2 levels ranging from 5 to 12 mg/L. However, a Quantitative Descriptive Analysis (QDA™) sensory panel could not detect any difference in their aroma and flavor profile between closure types regardless of browning level. Even low levels of free SO2 retain protection against strong oxidation aromas, and visual browning detected by spectrophotometer seemed to precede oxidative aroma and flavor changes of the aging Sauvignon blanc.

A Latent Variable Mixed-Effects Location Scale Model with an Application to Daily Diary Data.

A mixed-effects location scale model allows researchers to study within- and between-person variation in repeated measures. Key components of the model include separate variance models to study predictors of the within-person variance, as well as predictors of the between-person variance of a random effect, such as a random intercept. In this paper, a latent variable mixed-effects location scale model is developed that combines a longitudinal common factor model and a mixed-effects location scale model to characterize within- and between-person variation in a common factor. The model is illustrated using daily reports of positive affect and daily stressors for a large sample of adult women.

Music Compared with Auditory Books: A Randomized Controlled Study Among Long-Term Care Residents with Alzheimer's Disease or Related Dementia.

BACKGROUND: Over 5 million Americans age 65 years and older were diagnosed with Alzheimer's disease and/or related dementia (ADRD), a majority of whom exhibit behavioral and psychological symptoms leading to placement in long-term care settings. These facilities need nonmedical interventions, and music-based programs have received supportive evidence. SETTING: Thirteen long-term care facilities were among a wave of facilities that volunteered to be trained and to administer a music-based intervention. The residents within were randomized into intervention or control groups (intervention/music, n = 103; control/audiobook, n = 55). DESIGN: This team used a pragmatic trial to randomly embed music and control (audiobooks) into 13 long-term care facilities to compare the effects on agitation in people with ADRD. METHODS: Measures included a demographic survey; the Mini-Mental Status Examination, used to assess cognitive status; and the Cohen-Mansfield Agitation Inventory with 4 subscales, used to measure agitation. These measures were implemented at baseline and every 2 weeks for 8 weeks. Mixed-effects models were used to evaluate change in agitation measures while addressing dependencies of scores within participants and facility. RESULTS: Decreases in agitation were attributable to both music and audiobooks in 3 of 4 agitation subscales. In the fourth, physical agitation, which was not directed toward staff, initially, it decreased given music, and increased thereafter; and generally, it increased with the audiobooks. CONCLUSION AND IMPLICATIONS: Both music and control audiobooks delivered by headphones after personalized selection reduced some aspects of agitation in residents diagnosed with ADRD. The effects of music were greater initially then diminished.

Piecewise latent growth models: beyond modeling linear-linear processes.

Piecewise latent growth models (LGMs) for linear-linear processes have been well-documented and studied in recent years. However, in the latent growth modeling literature, advancements to other functional forms as well as to multiple changepoints or knots have been nearly non-existent. This manuscript deals with three extensions. The first is to a piecewise latent growth model incorporating higher-order polynomials. The second is to extend the basic framework to three phases. The last extension is to inherently nonlinear functions. In these extensions, the changepoint(s) is a parameter to be estimated and may be fixed or allowed to vary across subjects as an application warrants. The approaches are developed and two illustrative empirical examples from psychology are used to highlight the methodological nuances. Annotated statistical software is provided to make these elaborations accessible to practitioners and methodologists.

Perceived Discrimination and Risk Behaviors in African American Students: the Potential Moderating Roles of Emotion Regulation and Ethnic Socialization.

Prior research has identified perceived discrimination as being a contributing factor in health and mental health disparities. However, there is little research on the relationship between perceived discrimination and behaviors such as hazardous alcohol and illicit substance use and risky sexual behaviors that put people at risk for negative health consequences including HIV. The current research explores the role that cultural factors may play in a tendency for individuals to engage in unhealthy behaviors or an ability to avoid them. A total of 266 college students who self-identified as Black or African American were surveyed on measures of familial ethnic socialization, perceived discrimination, emotion regulation, substance use, and risky sexual behaviors. Findings indicate that perceived discrimination and emotion regulation-suppression were associated with higher levels of hazardous alcohol use, and that emotion regulation-cognitive reappraisal was associated with lower levels of illicit substance use. Implications for intervention and prevention in African American college students are discussed.

Health psychology in the time of COVID-19.

Health Psychology has received numerous papers over the past several months on topics related to the COVID-19 pandemic. Many of them concern depression, anxiety, stress, or other forms of distress in the general population or in health care workers. We have received far fewer papers on COVID-related health behaviors and health communications-factors that have played central roles in the spread of the pandemic and that are major topics in health psychology. Our experience is consistent with the published scientific literature on the pandemic. A Medline search that we conducted in late September yielded over 23,000 English-language articles pertaining to COVID-19. Over 1,400 of them concerned topics that are within the scope of Health Psychology. As shown in Table 1, COVID-related mental disorders comprised the largest category. Many other studies concerned other forms of stress or emotional distress. At least 248 articles addressed the profound ethnic and racial disparities in COVID-19 infection and death rates and in access to health care that are accentuating longstanding health inequities; 22 (9%) of these articles addressed behavioral or psychosocial aspects of COVID-19 health disparities. Thus, the literature on the behavioral and psychosocial aspects of the pandemic has been dominated, so far at least, by research on stress or distress. Fewer reports have been published so far on critical COVID-related health behaviors, health communication, or health disparities. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

A new look at neurobehavioral development in rhesus monkey neonates (Macaca mulatta).

The Brazelton Neonatal Behavioral Assessment Scale (NBAS) evaluates a newborn infant's autonomic, motor, state, temperament, and social-attentional systems, which can help to identify infants at risk of developmental problems. Given the prevalence of rhesus monkeys being used as an animal model for human development, here we aimed to validate a standardized test battery modeled after the NBAS for use with nonhuman primates called the Infant Behavioral Assessment Scale (IBAS), employing exploratory structural equation modeling using a large sample of rhesus macaque neonates (n = 1,056). Furthermore, we examined the repeated assessments of the common factors within the same infants to describe any changes in performance over time, taking into account two independent variables (infant sex and rearing condition) that can potentially affect developmental outcomes. Results revealed three factors (Orientation, State Control, and Motor Activity) that all increased over the 1st month of life. While infant sex did not have an effect on any factor, nursery-rearing led to higher scores on Orientation but lower scores on State Control and Motor Activity. These results validate the IBAS as a reliable and valuable research tool for use with rhesus macaque infants and suggest that differences in rearing conditions can affect developmental trajectories and potentially pre-expose infants to heightened levels of cognitive and emotional deficiencies.

Two-part mixed-effects location scale models.

Longitudinal time use data afford the opportunity to study within- and between-individual differences, but can present challenges in data analysis. Often the response set includes a large number of zeros representing those who did not engage in the target behavior. Coupled with this is a continuous measure of time use for those who did engage. The latter is strictly positive and skewed to the right if relatively few individuals engage in the behavior to a greater extent. Data analysis is further complicated for repeated measures, because within-individual responses are typically correlated, and some respondents may have missing data. This combination of zeros and positive responses is characteristic of a type of semicontinuous data in which the response is equal to a discrete value and is otherwise continuous. Two-part models have been successfully applied to cross-sectional time use data when the research goals distinguish between a respondent's likelihood to engage in a behavior and the time spent conditional on any time being spent, as these models allow different covariates to relate to each distinct aspect of a behavior. Two-part mixed-effects models extend two-part models for analysis of longitudinal semicontinuous data to simultaneously address longitudinal decisions to engage in a behavior and time spent conditional on any time spent. Heterogeneity between and within individuals can be studied in unique ways. This paper presents applications of these models to daily diary data to study individual differences in time spent relaxing or engaged in leisure activities for an adult sample.

PROMIS®: Standardizing the patient voice in health psychology research and practice.

The Patient-Reported Outcomes Measurement Information System® (PROMIS®) is a collection of person-centered measures of physical, mental, and social health in children and adults. Developed using state-of-the-art psychometric methods, these measures are offered as fixed-length questionnaires and computerized adaptive tests, with translations available in Spanish and other languages. This special issue presents articles that illustrate the use of PROMIS® measures to advance health behavior research across a wide range of health studies. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Quality of care to nursing home residents with incontinence.

Quality of care for residents with urinary incontinence (UI) living in nursing facilities was analyzed using data collected from 815 facilities for the Nursing Facility Quality Review in Texas. Overall, of the 1,560 residents, 48.4% (n = 755) experienced UI. The risk of developing UI over a ten-year-period in a nursing facility was 6%. Only 54% of residents with UI had a care plan for their incontinence. For those with a UI plan in their chart, 143 (35%) had a person entered UI plan developed based on that resident's voiding pattern and needs. Further, the creation of a UI plan of care by a RN for a person with UI was associated with a higher perceived level of health after controlling for gender, and age. Finally, the more satisfied the resident was with the response to their calls for help with voiding the more satisfied with the nursing facility.

Dimensions of ethnic identity as protective factors for substance use and sexual risk behaviors in African American college students.

OBJECTIVE: To examine ethnic identity and ethnic socialization as potential protective factors for risk behaviors among US college students. PARTICIPANTS: Participants were 398 African American and Afro-Caribbean students recruited from 30 colleges and universities during September 2008-October 2009. METHODS: Data on hazardous alcohol use, substance use, sexual behaviors, ethnic identity, and ethnic/racial socialization were collected. Hierarchical linear and negative binomial regression analyses were conducted to determine the degree to which ethnic identity and ethnic/racial socialization predicted the risk behaviors. RESULTS: Ethnic Identity affirmation, belonging, and commitment (EI-ABC) significantly predicted lower substance use and hazardous alcohol use. Ethnic/racial socialization was not a significant predictor of substance use or sexual risk behaviors. CONCLUSIONS: Components of ethnic identity are potentially protective against alcohol and substance use behaviors. Additional research is recommended to determine effective intervention strategies.

A Capabilities Approach to Environmental Impact on Nursing Home Resident Quality of Life.

Nursing homes are the major provider of intermediate and long-term care outside of the hospital setting to individuals whose capacity for self-care is limited due to physical or cognitive impairments. Yet, despite their need for assistance, residents of nursing homes want to control their lives, set their routines, and do enjoyable things. The extent to which residents can maintain autonomy and dignity is important. The current study suggests an environmental gerontological framework, rooted in a capabilities approach, that can be used to consider environmental impact on quality of life in nursing homes. Using a cross-sectional survey of nursing home residents in Texas, environmental factors that might predict residents' quality of life as well as possible interactions of environmental factors and residents' characteristics that might predict well-being were examined. Environmental orientation and perception of social activities were important predictors of residents' quality of life, but geographic location and facility size were not important predictors. [Res Gerontol Nurs. 2017; 10(4):162-170.].

Do "birds of a feather flock together" or do "opposites attract"? Behavioral responses and temperament predict success in pairings of rhesus monkeys in a laboratory setting.

The growing recognition that social needs of primates in captivity must be addressed can present challenges to staff at primate facilities charged with implementing pair-housing solutions for animals. Unfortunately, there are few published papers that identify individual characteristics that might facilitate the social pairing process, and those that have looked at pre-pairing measures of behavior have produced mixed results. Using a database of n = 340 isosexual pairing attempts, we report that measures associated with responses to a standardized infant assessment protocol (the BioBehavioral Assessment program) predict success in pairing attempts that occurred years later. Behavioral responses to a brief separation and relocation, to a human intruder challenge, as well as ratings of temperament, were obtained from rhesus monkeys at 3-4 months of age. Logistic regression was used to identify potential predictors of success when animals were paired up to 10 years after the behavioral assessments. Among females, success was higher when members of a pair were more similar (i.e., a smaller difference scores) in patterns of emotional responding (Emotionality, Nervous temperament) during the infant assessments. In contrast, among males, success was higher when the pair had lower mean values for Gentle and Nervous temperament scores; when the members were younger; when pairs had a greater weight difference; and when they came from the same rearing background. Together, our results suggest that broad measures reflecting patterns of emotionality in response to challenge, which can be assessed in infancy (but which remain relatively stable throughout life) can be usefully employed to increase the likelihood of success in pairing attempts. Am. J. Primatol. 79:e22464, 2017. © 2015 Wiley Periodicals, Inc.