The relationship between individual symptom connectivity and global eating disorder symptom severity.

BACKGROUND: The network approach has emerged as a useful framework for conceptualizing and investigating psychopathology, including eating disorders. Network connectivity, that is, the density of the connections among network nodes, has been somewhat neglected despite its theoretical relevance. As predicted by network theory, symptom connectivity would be distinct but related to symptom severity and may be a useful clinical indicator of psychopathology as stronger and/or more diffuse connections among symptoms offer more avenues for symptom activation. This study aimed to investigate the relationship between moment-by-moment individual-level symptom connectivity and global levels of symptom severity in the context of eating disorder symptoms and experiences. METHODS: A sample of 58 female undergraduate college students, mean (SD) age = 20.5 (3.1) provided data on eating disorder symptoms eight times a day over the course of 10 days. Network analyses were used to calculate the eating disorder symptoms network connectivity for each participant. In addition, participants completed survey of self-report measures of eating disorder symptom severity and trait mindfulness and body image flexibility. RESULTS: Analyses revealed a moderate, positive relationship between individual network connectivity and eating disorder symptom severity. In addition, symptom connectivity predicted unique variance of symptom severity even after controlling for other clinically-relevant variables. CONCLUSIONS: Individual-level network connectivity may be an important dimension of psychopathology and further work exploring the role of network connectivity is warranted. PUBLIC SIGNIFICANCE: These findings suggest that symptom severity and the extent to which different eating disorder symptoms are connected are related but different dimensions. Investigating how these different dimensions play a role in eating disorder pathology could help to better understand and treat these disorders.

Examining the Effects of Fathers' Residency Status on Childhood Obesity.

OBJECTIVE: To examine whether fathers' residency status is associated with increased BMI z-scores among young and pre-adolescent children. METHODS: Propensity score matching was used to examine the effects of fathers' residency status on child BMI z-scores for children between the ages of 2-5 and 9-11 years old. Fathers self-reported their residency status as either being residential or nonresidential, based on the amount of time they lived in the same household as the child enrolled in the study. We conducted a series of cross-sectional matched analyses using three waves of data from 1448 families who participated in the Fragile Families and Child Wellbeing Study. RESULTS: We did not find a difference in BMI z-scores among children based on their father's residency status for children between the ages of 2-5 years old but did find a marginally significant difference in BMI z-scores for children between 9 and 11 years old. CONCLUSIONS FOR PRACTICE: Our findings suggest that fathers' residency status is not associated with increased BMI z-scores among young children but may be slightly predictive of differences in BMI z-scores among pre-adolescent children. The results from our study begin to explore the scientific gains of analyzing the influence of diverse family structures on childhood obesity outcomes. Our focus on fathers' residency status adds to the literature by highlighting some of the risks and resources that fathers from diverse family structures bring to family functioning and children's health and wellbeing.

Intra-individual study of mindfulness: ecological momentary perspective in post-surgical lung cancer patients.

The period of recovery following a lung-cancer surgery presents unique challenges and psychological demands. The study utilized ecological momentary assessments (EMA) to repeatedly sample mindfulness states in a sample of mindfulness-untrained individuals following hospital discharge. Intra- and inter- individual variability was assessed to examine cancer patients' natural capacity to exhibit mindfulness states during two weeks of recovery. Fifty nine stage I lung cancer patients (61% women, mean age = 66.1, SD = 7.9) completed EMA twice a day for two weeks. Mean level of mindfulness in the sample was low and equaled .49 (SD = .51) on the 5 point scale, with older participants being less likely to endorse mindful states. Net variability in mindfulness, defined as the person-based standard deviation in momentary scores, equaled .42 (SD = .26), ranging for 0 to 1.3 and indicating very modest variability for most participants. Results of the multi-level variance partitioning model revealed 41.4% of variance in mindfulness scores at the inter-individual, 2.4% on the temporal (i.e., .2% weekly and 2.2% daily), and 56.2% on the momentary levels. Findings indicate that, for cancer patients recovering from surgery, the innate ability to exhibit mindfulness is limited. From the methodological standpoint, consideration of intra-individual variability has implications for conceptualization and design of EMA studies.

Reliability and Validity of the Vicarious Trauma Organizational Readiness Guide (VT-ORG).

The Vicarious Trauma Organizational Readiness Guide (VT-ORG) is an assessment of an organization's readiness to address vicarious trauma (VT), which is exposure to the traumatic experiences of people served. This study reports on the psychometric properties of the VT-ORG. Employees of first responder agencies (e.g., law enforcement, fire, emergency services) and victim assistance agencies are at a high risk for vicarious traumatization, which can lead to PTSD, substance use, and suicidal ideation, among other negative impacts. Organizations that do not address VT may see such effects as employee turnover, reduced efficiency, and negative work environments. The VT-ORG is an assessment tool designed to help organizations complete the first step of organizational change-conducting a needs assessment. Study participants were 3,018 employees across 13 first responder and victim assistance agencies who completed the 67-item VT-ORG and additional measures for evaluation of its validity and reliability. The VT-ORG was found to have excellent internal consistency (Cronbach's α = .98). A structural equation model demonstrated that the subscales of the VT-ORG predicted criterion measures of turnover intention, compassion satisfaction, and organizational resilience, with an overall model fit of CFI = .99, RMSEA = .053. This study found the VT-ORG to be a reliable and valid assessment of organizational responses to vicarious trauma.

Bayesian Latent Class Analysis Tutorial.

This article is a how-to guide on Bayesian computation using Gibbs sampling, demonstrated in the context of Latent Class Analysis (LCA). It is written for students in quantitative psychology or related fields who have a working knowledge of Bayes Theorem and conditional probability and have experience in writing computer programs in the statistical language R . The overall goals are to provide an accessible and self-contained tutorial, along with a practical computation tool. We begin with how Bayesian computation is typically described in academic articles. Technical difficulties are addressed by a hypothetical, worked-out example. We show how Bayesian computation can be broken down into a series of simpler calculations, which can then be assembled together to complete a computationally more complex model. The details are described much more explicitly than what is typically available in elementary introductions to Bayesian modeling so that readers are not overwhelmed by the mathematics. Moreover, the provided computer program shows how Bayesian LCA can be implemented with relative ease. The computer program is then applied in a large, real-world data set and explained line-by-line. We outline the general steps in how to extend these considerations to other methodological applications. We conclude with suggestions for further readings.

The time-varying association between perceived stress and hunger within and between days.

OBJECTIVE: Examine the association between perceived stress and hunger continuously over a week in free-living individuals. METHODS: Forty five young adults (70% women, 30% overweight/obese) ages 18 to 24 years (Mean = 20.7, SD = 1.5), with BMI between 17.4 and 36.3 kg/m(2) (Mean = 23.6, SD = 4.0) provided between 513 and 577 concurrent ratings of perceived stress and hunger for 7 days via hourly, text messaging assessments and real-time eating records. Time-varying effect modeling was used to explore whether the within-day fluctuations in stress are related to perceived hunger assessed on a momentary basis. RESULTS: A generally positive stress-hunger relationship was confirmed, but we found that the strength of the relationship was not linear. Rather, the magnitude of the association between perceived stress and hunger changed throughout the day such that only during specific time intervals were stress and hunger significantly related. Specifically, the strength of the positive association peaked during late afternoon hours on weekdays (ß = 0.31, p < .05) and it peaked during evening hours on weekend days (ß = 0.56, p < .05). CONCLUSION: This is the first empirical study to demonstrate potentially maladaptive, nonlinear stress-hunger associations that peak in the afternoon or evening hours. While we are unable to infer causality from these analyses, our findings provide empirical evidence for a potentially high-risk time of day for stress-induced eating. Replication of these findings in larger, more diverse samples will aid with the design and implementation of real-time intervention studies aimed at reducing stress-eating.

Modeling complexity of EMA data: time-varying lagged effects of negative affect on smoking urges for subgroups of nicotine addiction.

INTRODUCTION: Ecological momentary assessments (EMA) are increasingly used in studies of smoking behavior. Through EMA, examination of lagged relationships is particularly useful for establishing a temporal order of events and for identifying types and timing of risk factors. The time-varying effect model (TVEM) handles EMA data challenges and addresses unique questions about the time-varying effects. METHODS: Generalized TVEM was applied to EMA data from a smoking cessation study to investigate a "time-varying lagged" effect of negative affect on high smoking urges. Participants included 224 smokers with a smoking history of 23.1 years (SD = 9.8) smoking 27.3 cigarettes per day (SD = 10.7), which provided 11,394 EMAs following a quit attempt and prior to a smoking lapse. RESULTS: The effect of negative affect was found to vary as a function of a time lag, with stronger immediate effects: estimated odds ratio (OR) of 2.7 for the lower nicotine-dependence group (time to first morning cigarette > 5 min, 57.6%) and OR of 2.4 for the higher nicotine-dependence group (≤ 5 min). The magnitude of the effect persisted up to 7 hr while decreasing over time. CONCLUSIONS: This analysis confirmed the importance of negative affect as a precursor of smoking urges while showing that the magnitude of the effect varies over time. An assumption of a constant lagged effect may bias estimates of the relationships and fail to provide a comprehensive outlook of the relational dynamics.

Effects of a safe patient handling and mobility program on patient self-care outcomes.

OBJECTIVE. The aim of this study was to determine the effect of a safe patient handling and mobility (SPHM) program on patient self-care outcomes. METHOD. We used a retrospective cohort design. Data were obtained from the electronic medical records of 1,292 patients receiving inpatient rehabilitation services. Self-care scores from the FIM™ for patients who participated in rehabilitation before implementation of an SPHM program were compared with the scores of patients who participated after implementation of the program. RESULTS. Patients who received inpatient rehabilitation services with an SPHM program were as likely to achieve at least modified independence in self-care as those who received inpatient rehabilitation services without an SPHM program. CONCLUSION. SPHM programs may not affect self-care performance in adults receiving inpatient rehabilitation services. However, more work must be done to define specific and effective methods for integrating patient handling technologies into occupational therapy practice.

Effect of a safe patient handling program on rehabilitation outcomes.

OBJECTIVE: To evaluate the effect of a safe patient handling (SPH) program on rehabilitation mobility outcomes. DESIGN: Retrospective cohort study. SETTING: A rehabilitation unit in a hospital system. PARTICIPANTS: Consecutive patients (N=1291) over a 1-year period without an SPH program in place (n=507) and consecutive patients over a 1-year period with an SPH program in place (n=784). INTERVENTIONS: The SPH program consisted of administrative policies and patient handling technologies. The policies limited manual patient handling. Equipment included ceiling- and floor-based dependent lifts, sit-to-stand assists, ambulation aides, friction-reducing devices, motorized hospital beds and shower chairs, and multihandled gait belts. MAIN OUTCOME MEASURES: The mobility subscale of the FIM. RESULTS: Patients rehabilitated in the group with SPH achieved similar outcomes to patients rehabilitated in the group without SPH. A significant difference between groups was noted for patients with initial mobility FIM scores of 15.1 and higher after controlling for initial mobility FIM score, age, length of stay, and diagnosis. Those patients performed better with SPH. CONCLUSIONS: SPH programs do not appear to inhibit recovery. Fears among therapists that the use of equipment may lead to dependence may be unfounded.

Using the time-varying effect model (TVEM) to examine dynamic associations between negative affect and self confidence on smoking urges: differences between successful quitters and relapsers.

With technological advances, collection of intensive longitudinal data (ILD), such as ecological momentary assessments, becomes more widespread in prevention science. In ILD studies, researchers are often interested in the effects of time-varying covariates (TVCs) on a time-varying outcome to discover correlates and triggers of target behaviors (e.g., how momentary changes in affect relate to momentary smoking urges). Traditional analytical methods, however, impose important constraints, assuming a constant effect of the TVC on the outcome. In the current paper, we describe a time-varying effect model (TVEM) and its applications to data collected as part of a smoking-cessation study. Differentiating between groups of short-term successful quitters (N = 207) and relapsers (N = 40), we examine the effects of momentary negative affect and abstinence self-efficacy on the intensity of smoking urges in each subgroup in the 2 weeks following a quit attempt. Successful quitters demonstrated a rapid reduction in smoking urges over time, a gradual decoupling of the association between negative affect and smoking urges, and a consistently strong negative effect of self-efficacy on smoking urges. In comparison, relapsers exhibited a high level of smoking urges throughout the post-quit period, a time-varying and, generally, weak effect of self-efficacy on smoking urges, and a gradual reduction in the strength of the association between negative affect and smoking urges. Implications of these findings are discussed. The TVEM is made available to applied prevention researchers through a SAS macro.

Risk Behavioral Contexts in Adolescence of Obese Adults.

PURPOSE: Previous research suggests that poor nutrition, physical activity, sleep, and social/emotional climate are associated with weight gain. However, few empirical studies have examined how these factors relate to each other in adolescents who are later obese. Are these factors uniformly present, or do some co-occur or occur independently? This study seeks to identify subgroups of obese individuals at ages 24-32 years who exhibited unique, co-occurring behavioral and emotional contexts for obesity at ages 14-17 years. METHODS: To identify subgroups of behavioral and contextual profiles in adolescence, the study applies latent class analysis to a sample of individuals who were obese in the fourth wave of the National Longitudinal Study of Adolescent to Adult Health (Add Health, N = 1,889). The study then explored covariates (e.g., gender, race) of class membership. RESULTS: Considerable heterogeneity exists in risk profiles of adolescents obese as adults. For example, 21.1 percent of the sample is in a class with no differentiating risk factors, whereas two classes containing 22.1 percent of the sample exhibit high levels of depression, and nearly all the emotional factors are considered. Although some covariates are predictive of class membership, clear patterns are difficult to discern. However, poor physical health is clearly predictive of membership in the classes exhibiting a high risk of depression. DISCUSSION: Clinicians should be aware that at younger ages, people who are ultimately obese display a range of factors linked to obesity. Although some exhibit behaviors such as high screen time and processed food consumption, others exhibit mainly poor social/emotional climate.

Conceptualizing and Estimating Process Speed in Studies Employing Ecological Momentary Assessment Designs: A Multilevel Variance Decomposition Approach.

Researchers have been making use of ecological momentary assessment (EMA) and other study designs that sample feelings and behaviors in real time and in naturalistic settings to study temporal dynamics and contextual factors of a wide variety of psychological, physiological, and behavioral processes. As EMA designs become more widespread, questions are arising about the frequency of data sampling, with direct implications for participants' burden and researchers' ability to capture and study dynamic processes. Traditionally, spectral analytic techniques are used for time series data to identify process speed. However, the nature of EMA data, often collected with fewer than 100 measurements per person, sampled at randomly spaced intervals, and replete with planned and unplanned missingness, precludes application of traditional spectral analytic techniques. Building on principles of variance partitioning used in the generalizability theory of measurement and spectral analysis, we illustrate the utility of multilevel variance decompositions for isolating process speed in EMA-type data. Simulation and empirical data from a smoking-cessation study are used to demonstrate the method and to evaluate the process speed of smoking urges and quitting self-efficacy. Results of the multilevel variance decomposition approach can inform process-oriented theory and future EMA study designs.

Associations between menarcheal timing and behavioral developmental trajectories for girls from age 6 to age 15.

Substantial evidence from cross-sectional and short time-span longitudinal studies exists about negative associations between early pubertal maturation on a number of psychological outcomes. The objective of the present study was to assess the association between early maturation and developmental trajectories of social skills and internalizing and externalizing problems in girls from grades 1 through 9, including pre- and post-pubertal periods. The sample came from the NICHD Study of Early Child Care and Youth Development and included 398 Caucasian and 60 African American girls. Multilevel modeling revealed early maturing Caucasian girls were at risk for higher internalizing and externalizing problems and experiencing higher levels of problems pre-pubertally. African American youth had lower social skills and internalizing problems with no group differences due to early pubertal development. Findings are discussed in light of literature on continuity of girls' psychosocial development before and during the pubertal transition.

Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists.

Researchers are sometimes interested in predicting a distal or external outcome (such as smoking cessation at follow-up) from the trajectory of an intensively recorded longitudinal variable (such as urge to smoke). This can be done in a semiparametric way via scalar-on-function regression. However, the resulting fitted coefficient regression function requires special care for correct interpretation, as it represents the joint relationship of time points to the outcome, rather than a marginal or cross-sectional relationship. We provide practical guidelines, based on experience with scientific applications, for helping practitioners interpret their results and illustrate these ideas using data from a smoking cessation study.

Musculoskeletal pain associated with recreational yoga participation: A prospective cohort study with 1-year follow-up.

BACKGROUND: Yoga is a popular complementary therapy for musculoskeletal pain. There are few studies however, that have examined the risks of recreational participation for causing musculoskeletal pain. OBJECTIVES: To examine the relationship between musculoskeletal pain and recreational yoga participation. METHODS: This was a prospective cohort study with one-year follow-up. Data were collected via electronic questionnaires, one year apart. Outcomes included incidence and impact of pain caused by yoga and prevalence of pain caused, exacerbated, unaffected, and improved by yoga. Predictors included age, experience, hours of participation, and intensity of participation. RESULTS: The final sample included 354 participants from two suburban yoga studios. The incidence rate of pain caused by yoga was 10.7%. More than one-third of incident cases resulted in lost yoga participation time and/or symptoms lasting more than 3 months. None of the risk factors at baseline increased the risk for subsequent incident cases of pain caused by yoga. CONCLUSIONS: Yoga can cause musculoskeletal pain. Participants may benefit from disclosure of practice to their healthcare professionals and by informing teachers of injuries they may have prior to participation. Yoga teachers should also discuss the risks for injury with their students.

Feasibility and adherence paradigm to ecological momentary assessments in urban minority youth.

All adolescents in general, including ethnic and racial minorities, report high levels of cell phone use, making mobile technology a useful tool for assessment and intervention. Known health and education disparities based on minority status motivated us to conduct an in-depth investigation regarding feasibility of and adherence to the ecological momentary assessment (EMA) research protocol, studying daily life of urban minority youth. In addition, this paper presents a methodological approach to conceptualizing and reporting adherence in EMA studies. The sample was comprised of 126 youth (41.3% boys; 40.5% 7th and 59.5% 8th graders; 75.4% African American, and 20.6% Hispanic) who carried a mobile phone for 10 days, including 2 weekends and reported on activities, moods, and attitudes. Mean level of adherence was 81% for momentary and 93.8% for daily assessments; it decreased over time and was higher during the week compared to weekends. Adherence was lower on days when participants reported high levels of negative affect and on days when they were engaged in physical activities. Our findings underscore the importance of differentiating between human and technology-related factors when computing adherence rates and portray adherence as a complex and dynamic construct that can vary across individuals. Specific study recommendations and methodological discussion provide guidelines for designing future studies. (PsycINFO Database Record

Biomechanical Deficit Profiles Associated with ACL Injury Risk in Female Athletes.

PURPOSE: This study aimed to quantify the prevalence of biomechanical deficit patterns associated with anterior cruciate ligament injury risk and their interconnections in a large cohort of female athletes during an unanticipated cutting task. METHODS: High school female athletes (n = 721) performed an unanticipated cutting task in the biomechanics laboratory. Trunk and lower extremity three-dimensional kinetics and kinematics were measured and entered into a latent profile analysis model. RESULTS: Approximately 40% of female athletes demonstrated no biomechanical deficits and were categorized into the low risk group. The second most prevalent profile (24%) demonstrated a combination of high quadriceps and leg dominance deficits and was labeled as quadriceps-leg. The third most prevalent profile (22%) demonstrated a combination of trunk and leg dominance deficits and to lesser extent ligament dominance deficits and was labeled as trunk-leg-ligament. Finally, the fourth profile (14%) demonstrated very high ligament dominance deficits only and it was labeled as ligament dominance profile. CONCLUSIONS: This is the first study to identify the most common biomechanical profiles associated with anterior cruciate ligament injury during a cutting task in a large cohort of female athletes. Approximately 60% of female athletes belong to one of the high-risk profiles. With the exception of the ligament dominance profile, the current analysis indicates that risk profiles consist of a combination of biomechanical deficits. The findings provide important insight into the prevalence of biomechanical deficits and future directions for the development of injury prevention programs. The findings can be used to guide the development of quick and easy tests that accurately categorize athletes into one of the profiles and subsequently prescribe tailored injury prevention programs that will be more effective and efficient than the current generic ones.

Effects of Playing a Serious Computer Game on Body Mass Index and Nutrition Knowledge in Women.

BACKGROUND: Obesity and weight gain is a critical public health concern. Serious digital games are gaining popularity in the context of health interventions. They use persuasive and fun design features to engage users in health-related behaviors in a non-game context. As a young field, research about effectiveness and acceptability of such games for weight loss is sparse. OBJECTIVE: The goal of this study was to evaluate real-world play patterns of SpaPlay and its impact on body mass index (BMI) and nutritional knowledge. SpaPlay is a computer game designed to help women adopt healthier dietary and exercise behaviors, developed based on Self-Determination theory and the Player Experience of Need Satisfaction (PENS) model. Progress in the game is tied to real-life activities (e.g., eating a healthy snack, taking a flight of stairs). METHODS: We recruited 47 women to partake in a within-subject 90-day longitudinal study, with assessments taken at baseline, 1-, 2-, and 3- months. Women were on average, 29.8 years old (±7.3), highly educated (80.9% had BA or higher), 39% non-White, baseline BMI 26.98 (±5.6), who reported at least contemplating making changes in their diet and exercise routine based on the Stages of Change Model. We computed 9 indices from game utilization data to evaluate game play. We used general linear models to examine inter-individual differences between levels of play, and multilevel models to assess temporal changes in BMI and nutritional knowledge. RESULTS: Patterns of game play were mixed. Participants who reported being in the preparation or action stages of behavior change exhibited more days of play and more play regularity compared to those who were in the contemplation stage. Additionally, women who reported playing video games 1-2 hours per session demonstrated more sparse game play. Brief activities, such as one-time actions related to physical activity or healthy food, were preferred over activities that require a longer commitment (e.g., taking stairs every day for a week). BMI decreased significantly (P<.001) from baseline to 3-month follow-up, yielding a large effect size of 1.28. Nutritional knowledge increased significantly (P<.001) from first to third month follow-ups, with an effect size of .86. The degree of change in both outcomes was related to game play, baseline readiness to change, and the extent of video game play in general. CONCLUSIONS: This work demonstrates initial evidence of success for using a serious game as an intervention for health behavior change in real world settings. Our findings also highlight the need to understand not only game effectiveness but also inter-individual differences. Individualizing content and the intervention medium appears to be necessary for a more personalized and long-lasting impact.

Capitalizing on mobile technology to support healthy eating in ethnic minority college students.

OBJECTIVE: To evaluate the capacity of a mobile technology-based intervention to support healthy eating among ethnic minority female students. PARTICIPANTS: Forty-three African American and Hispanic female students participated in a 3-week intervention between January and May 2013. METHODS: Participants photographed their meals using their smart phone camera and received motivational text messages 3 times a day. At baseline, postintervention, and 10 weeks after the intervention, participants reported on fruit, vegetable, and sugar-sweetened beverage consumption. Participants were also weighed at baseline. RESULTS: Among participants with body mass index (BMI) ≥25, fruit and vegetable consumption increased with time (p < .01). Among participants with BMI <21, consumption of fruit decreased (p < .05), whereas the consumption of vegetables remained stable. No effects were found for sugar-sweetened beverage consumption. CONCLUSION: Mobile technology-based interventions could facilitate healthy eating among female ethnic minority college students, particularly those with higher BMI.

Exploring healthy eating among ethnic minority students using mobile technology: Feasibility and adherence.

Interventions aiming to help ethnically diverse emerging adults engage in healthy eating have had limited success. The aim of this study was to assess the feasibility of and adherence to an intervention capitalizing on mobile technology to improve healthy eating. Participants created an online photo food journal and received motivational text messages three times a day. Satisfaction with the intervention was assessed, as were control variables including depression and body dissatisfaction. In addition, weight and height were measured. Levels of adherence to the photo food journal were high with approximately two photos posted a day at baseline. However, adherence rates decreased over the course of the study. Body dissatisfaction positively predicted adherence, while body mass index negatively predicted study satisfaction. Mobile technology provides innovative avenues for healthy eating interventions. Such interventions appear acceptable and feasible for a short period; however, more work is required to evaluate their viability regarding long-term engagement.