Why So Lonely? The Direct and Indirect Associations between Developmental Trajectories of Fear of Negative Evaluation, Prosocial Behavior and Loneliness in Adolescence

Fear of negative evaluation and prosocial behavior have been identified as predictive factors influencing the development of loneliness in adolescence, representing typical factors in the cognitive and behavioral processes of re-affiliation. The elucidation of plausible direct and indirect pathways linking these pivotal factors to adolescents' loneliness need further exploration. This study aimed to investigate the direct and indirect relationships between the fear of negative evaluation, prosocial behavior, and adolescents' loneliness through the lens of developmental changes. A total of 533 adolescents (49.0% girls, Mage = 15.18 years, SD = 0.71) participated in this longitudinal study, assessed at three timepoints over a span of two years with 12-month intervals. Latent growth modeling uncovered direct associations between the developmental trajectories of both fear of negative evaluation and prosocial behavior with the developmental trajectory of adolescents' loneliness. The developmental trajectory of fear of negative evaluation exhibited an indirect association with the developmental trajectory of loneliness through the mediating role of prosocial behavior. These findings highlighted the roles of cognitive and behavioral re-affiliation processes, both independently and as mediators, in influencing adolescent loneliness, suggesting that interventions aimed at reducing fear of negative evaluation and promoting prosocial behavior could effectively mitigate adolescents' loneliness.

A study on longitudinal relationship between ultrafine dust and the prevalence of depression

BACKGROUND

Recently, the fine dust problem caused by rapid industrialization and science and technological development has emerged as a severe social issue worldwide. This also increases the interest in its effect on human life. In particular, there is a growing concern about the harm of fine dust in Korea.

METHODS

This study is based on the PM 2.5 data from 2017 to 2021 provided by Air Korea to estimate changes in ultrafine dust. In addition, the data from the Community Health Survey provided by the Korea Centers for Disease Control and Prevention (KCDC) from 2017 to 2021 were used to examine the effect between the change in ultra-fine dust and the prevalence of depression. A total of 229 local governments were included in the analysis. The Latent Growth Modeling was carried out to estimate the change in ultra-fine dust and the prevalence of depressions and verify the relationship between ultra-fine dust and the prevalence of depression.

RESULTS

The analysis result revealed that the ultra-fine dust concentration continued to decrease from 2017 to 2021. However, the depression prevalence increased from an average of 2.60% in 2017 to an average of 3.12% in 2021, suggesting the need for adequate and sufficient welfare policies for depression treatment. As a result of estimating the initial value and change rate of ultra-fine dust and depression prevalence, the higher the initial value of ultra-fine dust, the greater the decrease in ultra-fine dust. In terms of depression, the lower the initial value of the prevalence of depression, the larger the increase in depression prevalence.

CONCLUSIONS

This study is significant in that it revealed the strong association of the longitudinal relationship between ultra-fine dust and depression, one of the biggest issues in Korea, by utilizing large-scale longitudinal data.

Using latent class growth analysis to detect group developmental trajectories in preclinical medical education

Medical educators and programs are deeply interested in understanding and projecting the longitudinal developmental trajectories of medical students after these students are matriculated into medical schools so appropriate resources and interventions can be provided to support students' learning and progression during the process. As students have different characteristics and they do not learn and progress at the same pace, it is important to identify student subgroups and address their academic needs to create more equitable learning opportunities. Using latent class growth analysis, this study explored students' developmental trajectories and detected group differences based on their coursework performance in Anatomy within the two years of preclinical education in one medical school. Four subgroups were identified with various intercepts and slopes. There were significant group differences between these subgroups and their standardized scores in MCAT and UCMLE Step 1. The study provides evidence about the heterogeneity of the student population and points out future research directions.

Socioecological Predictors of Change in Adolescent Tobacco Use Across Waves 1-4 of the Population Assessment of Tobacco and Health Study

BACKGROUND

Despite decreases in adolescents' cigarette use over the past decade, overall rates of adolescent tobacco use have increased. Research examining adolescents' changes across a range of tobacco products reflective of the current market, as well as multilevel predictors of use trajectories is needed.

METHODS

Data derive from Waves 1-4 (W1-4; 2013-2018) of the Population Assessment of Tobacco and Health (PATH) study. Participants included 975 adolescents who used ≥1 tobacco product (cigarettes, electronic cigarettes [ECIGs], traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco [SLT], hookah) at any wave (W1 Mage = 13.29 [0.86], 54.2% male; 54.5% White, 25.9% Hispanic).

RESULTS

Utilizing latent growth curve modeling (separate models per product), adolescents displayed increases in their past 30-day use of all tobacco products from W1-4. Greater W1 use was predicted by identifying as non-Hispanic (cigarettes); lower parent education (SLT); greater externalizing problems (cigarillos); greater motives (all products except cigarillos); greater youth-reported household smoking rules (cigarillos); and greater isolation (ECIGs). More use across time (i.e., higher slope) was predicted by older age (cigarettes); identifying as male (ECIGs, SLT), Black (vs. White; cigarillos), White (vs. Black, Hispanic; ECIGs, SLT); fewer externalizing problems (SLT); fewer motives (ECIGs); fewer youth-reported rules (cigarillos, SLT); and greater geographic isolation (cigarettes, SLT).

DISCUSSION

Although some individual-level factors (i.e., motives, externalizing problems) predicted greater W1 use (i.e., intercept) only, interpersonal- (parent rules) and community-level (geographic isolation) factors were associated with changes in use over time (i.e., slope). Intervention efforts may address such factors to reduce adolescents' escalations in use.

How attributions of coproduction motives shape customer relationships over time

Despite the proliferation of coproduction concepts in various B2C contexts, knowledge on how coproduction shapes customer relationships is still surprisingly limited, as prior studies find mixed results and are bound to a short-term perspective. The present study addresses these limitations by providing first insights into the underlying psychological processes that explain differences in the short- and long-term relationship consequences of positive and negative coproduction perceptions. Drawing from the multiple inference model, this research shows how customers' ambivalent attributions of a firm's coproduction motives (i.e., firm-serving and customer-serving) affect customer satisfaction, willingness to pay, and spending behavior over time. The results of a latent growth analysis based on a longitudinal field study (n1 = 12,662; six waves) show that coproduction can harm customer relationships in the long-run, as the detrimental effects of firm-serving motive attributions are temporally more persistent than the favorable but ephemeral effects of customer-serving motive attributions. An additional experiment (n2 = 931) and field study (n3 = 360) confirm the generalizability of the key findings and provide new managerial insights into how firm-specific characteristics of a coproduction concept (i.e., coproduction intensity, design freedom, monetary savings) influence customer attributions different coproduction motives and thereby shape customer relationships over time.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11747-022-00910-6.

Effects of APOEɛ4 genotype on age-associated change in cognitive functions among Japanese middle-aged and older adults: A 20-year follow-up study

BACKGROUND AND AIMS

Carriers of the apolipoprotein E ε4 allele (APOEɛ4) have an increased risk of developing dementia (e.g., Alzheimer's disease). However, it is less clear whether the APOEɛ4 might also be involved in cognitive aging among the non-clinical population of older adults. While some studies have suggested that the APOEɛ4 is related to accelerated cognitive decline in the normal aging process, others have failed to provide compelling evidence of such an impact. Notably, these discrepancies may depend on methodological shortcomings, including short time spans, few assessments, and small sample sizes. The present study overcomes the above limitations and aims to clarify the impact of the APOEɛ4 genotype on long-term longitudinal changes in cognitive functions in middle-aged and older adults in Japan.

METHODS AND RESULTS

The data were retrieved from the National Institute for Longevity Sciences-Longitudinal Study of Aging (NILS-LSA) survey (N = 1832; 40 to 79 years of age at baseline). The participants were tested over nine waves covering a period of approximately 20 years. Latent Growth Curve (LGC) modeling was employed to test the impact of the interaction between APOEɛ4 status and age on several cognitive functions. Four tests of the WAIS-R were administered: Information, Similarities, Picture completion, and Digit Symbol Substitution Test (DSST). The results showed that the APOEɛ4 carriers experienced a more pronounced decline in the DSST (p = 0.001) and Similarities (p = 0.022) tests. A similar tendency was found in the Information test (p = 0.034). By contrast, no effect was found in the Picture completion test (p = 0.563).

CONCLUSIONS

APOEɛ4 carriers seem to exhibit a steeper cognitive decline, which becomes apparent in old age. This effect is more robust in fluid cognitive skills (DSST) than crystallized cognitive skills (Information and Similarities). Overall, the APOEɛ4 genotype may be a significant risk factor in normal (i.e., non-clinical) cognitive aging.

The Relationship Between Parental Neglect, School Adjustment, and Smartphone Dependence in Korean Adolescents: Verification Using Multivariate Latent Growth Modeling

The Social bonding theory assumes that social ties are closely associated with maladaptive behavior, and this theory may be applied to explain the smartphone dependence in adolescence. The purpose of this study was to verify how school adjustment mediated the relationship between the parental neglect and smartphone dependence. The data from Korean Children and Youth Panel Survey were utilized in this study. Participants were 2280 students in the 2nd year of middle school [male 1152, female 1128; 13.89 years (SD = 0.34)] who were followed up for four years. We conducted a Multivariate Latent Growth Modeling (LGM) to verify the relationships between variables. In addition, mediating effect was analyzed using the Bootstrapping Test. Findings indicated that parental neglect was negatively associated with school adjustment in the first wave, and school adjustment showed a greater decrease as parental neglect indicated a greater increase. In addition, school adjustment was negatively associated with smartphone dependence in the first wave, and smartphone dependence showed a greater decrease as school adjustment indicated a greater increase. Mediating effect indicated that parental neglect indirectly influences smartphone dependence fully mediating school adjustment. In conclusion, parental neglect indirectly influences smartphone dependence by interfering with school adjustment. In addition, reducing the negative effects of parental neglect on school adaptation may be an effective strategy to prevent smartphone dependence in adolescence.

A Longitudinal Relationship Between Mother's Smartphone Addiction to Child's Smartphone Addiction

Children are more likely to become addicted as they become accustomed to using smartphones, and as they observe and imitate their parents using smartphones. This study aims to confirm longitudinally the effect of mother's smartphone addiction on children's smartphone addiction. Latent growth modeling was used to analyze longitudinal relationships between 3615 pairs of children and their mothers from the Korean Children and Youth Panel Survey (KCYPS) (2018-2020). As a result, both the mothers and children's smartphone addiction significantly increased over time. The initial value of the mother's smartphone addiction was found to have a significant effect on the child's initial value and the change rate. Moreover, children's smartphone addiction change rate was significantly affected by the change rate of the mother's smartphone addiction. To intervene in children's smartphone addiction, a family-level approach, as well as parental addiction, must also be addressed, and a preventive approach should focus on those with a low risk of addiction.

Development of cognitive control during adolescence: The integrative effects of family socioeconomic status and parenting behaviors

Cognitive control is of great interest to researchers and practitioners. The concurrent association between family socioeconomic status (SES) and adolescent cognitive control is well-documented. However, little is known about whether and how SES relates to individual differences in the development of adolescent cognitive control. The current four-year longitudinal investigation (N = 167, 13-14 years at Wave 1) used multi-source interference task performance (reaction time in interference correct trials minus neutral correct trials) and corresponding neural activities (blood oxygen level dependent contrast of interference versus neutral conditions) as measures of cognitive control. SES and parenting behaviors (warmth, monitoring) were measured through surveys. We examined direct and indirect effects of earlier SES on the development of cognitive control via parenting behaviors; the moderating effect of parenting also was explored. Results of latent growth modeling (LGM) revealed significant interactive effects between SES and parenting predicting behavioral and neural measures of cognitive control. Lower family SES was associated with poorer cognitive performance when coupled with low parental warmth. In contrast, higher family SES was associated with greater improvement in performance, as well as a higher intercept and steeper decrease in frontoparietal activation over time, when coupled with high parental monitoring. These findings extend prior cross-sectional evidence to show the moderating effect of the parenting environment on the potential effects of SES on developmental changes in adolescent cognitive control.

Psychosocial predictors of longitudinal changes in tobacco and cannabis use among young adults

INTRODUCTION

In recent years, cigarette use has decreased, but alternative tobacco product and cannabis use has increased in young adults. Thus, research regarding intraindividual changes in tobacco product and cannabis use in this population, and related psychosocial predictors, is warranted.

METHODS

We analyzed data from 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority) in a 2-year, 5-wave longitudinal study (2018-2020). Latent growth modeling analyzed the outcomes of past 6-month use of cigarettes, e-cigarettes, traditional cigars, little cigars/cigarillos, smokeless tobacco (SLT), hookah, and cannabis across Waves 1-5 among all participants; psychosocial predictors included depressive symptoms, adverse childhood experiences (ACEs), and personality traits.

RESULTS

Results indicated decreases in likelihood of using each tobacco product over time, but no significant change in likelihood of cannabis use. Psychosocial predictors of baseline use across products included depressive symptoms and extraversion, as well as ACEs and openness for nearly all products (e.g., except traditional cigars). Psychosocial predictors of less decreases in use likelihood over time included: for cigarettes and traditional cigars, ACEs; for e-cigarettes, extraversion; for little cigars/cigarillos, depressive symptoms and extraversion; for SLT, openness; and for hookah, neuroticism (controlling for sociodemographics). Predictors of greater decreases in likelihood of use over time included: for e-cigarettes and hookah, conscientiousness; and for cannabis, agreeableness.

CONCLUSIONS

Interventions to reduce young adults' use might target distinct risk/protective factors for using different products (and combinations). Moreover, results regarding decreasing likelihood of using tobacco products but not cannabis over time warrant replication and explanation in other samples.

Maternal depression trajectories and child BMI in a multi-ethnic sample: a latent growth modeling analysis

BACKGROUND

Perinatal (antenatal and postpartum) depression impacts approximately 12% of mothers. Perinatal depression can impact everyday functioning for mothers, and the relationship with, and development of, their children. The purpose of this study was to investigate depression trajectories from the antenatal period through 54-months postpartum and associations with child body mass index at 54-months postpartum.

METHODS

This study applied latent growth modeling to the Growing Up in New Zealand study, which is a longitudinal pregnancy cohort study that provides nationally representative-level data, to investigate associations between depression at three time points (antenatal, 9-months postpartum, 54-months postpartum) and child body mass index at 54-months (n=4897).

RESULTS

The average slope of depression for this sample is low and decreases over time. When child BMI was added to the model as an outcome variable, both antenatal depression (B=.25, p<.01), and the rate of change of depression across the perinatal and postpartum periods (B=.09, p<.01) were associated with child BMI at 54-months postpartum. After controlling for sociodemographic characteristics, antenatal depression, but not the slope of depression, remained significantly associated with child BMI (B=.05, p<.05). When controlling for maternal pre-pregnancy BMI the effect of antenatal depression on child BMI at 54-months was entirely attenuated (χ2 (9) = 39.60, p < .05, SRMR = 0.01, CFI = .99, RMSEA = 0.03, BIC=53213).

CONCLUSIONS

Our findings align with the Developmental Origins of Health and Disease theory and imply that both the physical and mental health of mothers during pregnancy may be important indicators of child growth and development outcomes. Early intervention directed towards women who have even mild depression scores during pregnancy may promote healthy child development outcomes. Additionally, given the heterogeneity of depressive symptoms over time seen in this study, multiple assessment periods across the postpartum period may be valuable to adequately address and support maternal mental health.

Longitudinal predictors of suicidal ideation: Emerging to early adulthood

Few studies have examined the longitudinal trajectory of suicidal ideation (SI) in community samples, particularly during emerging adulthood. Additionally, there is scant data on predictors of longer-term course of SI across this period. We examined multiple domains of adolescent psychosocial and clinical functioning as predictors of SI trajectory and explored whether biological sex moderates those associations. The data came from the Oregon Adolescent Depression Project. Participants completed self-reports of psychosocial and clinical functioning and interviews assessing psychopathology in mid-late adolescence. SI was assessed using up to seven annual mailer assessments spanning ages 19-31. Multilevel growth models found that SI declined across emerging adulthood. Multiple indices of adolescent functioning were associated with higher levels of SI three years later. Few adolescent functioning constructs predicted faster reductions in SI, and no constructs predicted slower longitudinal reductions (or increases) in SI. Similar associations were found when controlling for adolescent SI. Lastly, we found little evidence for sex differences in these associations. This work shows that adolescent functioning is largely associated with initial and enduring levels of SI. Moreover, associations were similar between sexes. Given the modest associations found across long periods of time, future research should focus on proximal risk factors for SI.

A longitudinal study of depressive symptoms and delinquency among Chinese left-behind children

This study sought to identify the developmental trajectories of depressive symptoms and delinquency in Chinese left-behind children (LBC) over a three-year period, a topic that is less often studied. Overall, 578 Chinese LBC (M_age= 10.63 years; boys = 53.1%) were tested three times on their depressive symptoms and delinquency from grades four through six. Unconditional latent growth modeling revealed no linear change in LBC's depressive symptoms, whereas there was a linear decrease over time in LBC's delinquency. Multiple-group models revealed that the pattern of change in LBC's delinquency differed across parental migration status and gender. Moreover, mother-only migration LBC showed higher initial depressive symptoms and initial delinquency levels than father-only migration LBC. The results provided a more accurate developmental picture by charting patterns of stability and change among Chinese LBC's depressive symptoms and delinquency in the context of parental migration.

Flattening the Latent Growth Curve? Explaining Within-Person Changes in Employee Well-Being during the COVID-19 Pandemic

The COVID-19 pandemic represents one of the greatest global crises in modern history. In addition to recession and high unemployment, agencies such as the Centers for Disease Control and Prevention warn that stressors associated with a pandemic can cause increased strains, including difficulty concentrating, anxiety, and decreased mental health (CDC, 2020). Two general frameworks that explain these stressor-strain relationships over time include stress-reaction and adaptation models. Stress-reaction models suggest that stressors, such as heightened job demands due to the pandemic, accumulate over time and thus prolonged exposure to these stressors results in both immediate and long-term strain; conversely, adaptation models suggest that people adapt to stressors over time, such that strains produced by ongoing stressors tend to dissipate. After controlling for county-level COVID-19 cases, we found that (a) workers in general exhibited decreasing cognitive weariness and psychological symptoms over time, providing support for the adaptation model; (b) on-site workers experienced increasing physical fatigue over time, supporting the stress-reaction model among those workers; and (c) engaging in recovery behaviors was associated with improvements in cognitive weariness and psychological symptoms for all workers. We also found that our Time 1 outcomes were significantly different than pre-pandemic norms, such that our participants displayed lower initial levels of job-related burnout and higher initial levels of psychological symptoms than pre-pandemic norms. Furthermore, supplemental qualitative data support our quantitative findings for recovery behaviors. These findings have important implications for understanding workers' responses to the pandemic and they can help inform organizational practice.

Effects of a cannabis use disorder text message-delivered treatment on young adult alcohol misuse: Differential effects by gender

Alcohol misuse is more prevalent, frequent, and severe among young adults who use cannabis. Treatment of dual alcohol and cannabis users may have mixed results, with some studies reporting that alcohol misuse increases when cannabis use decreases (substance substitution), while others report that alcohol misuse decreases along with decreasing cannabis use (treatment spillover), and others report no association. Additionally, little research tests whether gender differences are found in treatment of dual alcohol and cannabis users, which may be expected given previous alcohol-focused treatments showing larger effects for females. In the current study, we present a secondary analysis of a randomized clinical trial testing a text message-delivered cannabis use disorder (CUD) treatment (peer network counseling text or "PNC-txt"). The trial included 101 young adults ages 18-25 who met criteria for CUD. We tested whether alcohol use and binge drinking frequency (4+/5+ drinks for women/men) decreased in response to the PNC-txt treatment, which has previously shown effectiveness in reducing cannabis use days. Latent growth models tested PNC-txt effects on the monthly rate of change in alcohol use and binge drinking across three months. In the full sample, we found no evidence of significant treatment effects on alcohol use (d = -0.07) or binge drinking (d = -0.10). Moderation analyses, however, indicated the PNC-txt effect on both alcohol use and binge drinking differed significantly by gender. PNC-txt led to significantly larger decreases in alcohol use (d = -0.53) and binge drinking days (d = -0.43) across the three months for females, whereas the study saw opposite (but nonsignificant) effects for males (d = 0.30 and 0.16 for alcohol use and binge drinking, respectively). We found no evidence that reductions in alcohol use and binge drinking were associated with cannabis use decreases, arguing against direct substitution or spillover effects. These results provide evidence that treatments focused on cannabis use may have secondary beneficial effects for young-adult alcohol misuse, although such effects may be limited to women.

Mindfulness training on the resilience of adolescents under the COVID-19 epidemic: A latent growth curve analysis

As a preventive measure during the COVID-19 epidemic, we have had to stay at home for a long time. The lifestyle of adolescents has undergone severe changes. Almost every school started online education for the first time. Some adolescents have shown low resilience when faced with these changes. Most previous research has focused on mindfulness training and resilience by using cross-sectional or two-point tracking designs. However, little is known about the developmental trajectories of the impact of mindfulness training on resilience, particularly during this epidemic. Therefore, this study aims to explore how the developmental trajectories of resilience are impacted by mindfulness training. After administering the CD-RISC, we recruited 90 students with low levels of resilience in intervention group. Finally, 84 adolescents provided data at each assessment. At the same time, we selected 90 students in the control group. Paired sample t-test was used to compare every factor defined above by time. The result showed that mindfulness training increased students' resilience and emotional intelligence in experiment group. Then in the experiment group, latent growth modeling was used to (1) examine initial levels and changes in resilience over time and (2) predict initial levels and growth in resilience based on emotional intelligence. The findings of this study are as follows: during a mindfulness training intervention, (1) individual resilience tends to increase, and rate of increase grows gradually; there are also significant individual differences in the initial level and development speed; (2) individual emotional intelligence can promote the growth of resilience. With the worldwide outbreak of COVID-19, more and more attention is paid to the mental health of students. The research in this article shows that mindfulness training program should be given increasing consideration in the future.

Parallel reading and mathematics growth for English learners: Does timing of reclassification matter?

This study compared reading and mathematics growth trajectories in a statewide dataset of 33,715 students across third through fifth grades. Specifically, we examined growth for English Learners (ELs) who were reclassified as no longer needing English Language services at different grade levels as compared to their never-EL peers. Overall, EL students performed significantly below never-EL students on reading and mathematics assessments at Grade 3, with EL students making greater academic gains across time points than never-EL students. Students who were reclassified after third grade and after fourth grade closed, or began to close, the academic opportunity gap by the end of fifth grade, providing promising evidence suggesting that reclassification policies are adequate for identifying those students who no longer need EL services. Students who continued to be classified as EL from third through fifth grades continued to score significantly lower than never-ELs, and in many cases other EL groups, indicating that there exists a group of EL students who continue to make inadequate reading and mathematics gains across late elementary school. Implications for policy and practices that support EL students' mathematics and reading growth are discussed.

Increases in social support co-occur with decreases in depressive symptoms and substance use problems among adults in permanent supportive housing: an 18-month longitudinal study

BACKGROUND

Social support is a well-known protective factor against depressive symptoms and substance use problems, but very few studies have examined its protective effects among residents of permanent supportive housing (PSH), a housing program for people with a history of chronic homelessness. We utilized unconditional latent growth curve models (LGCMs) and parallel process growth models to describe univariate trajectories of social support, depressive symptoms, and substance use problems and to examine their longitudinal associations in a large sample of adults residing in PSH.

METHODS

Participants were 653 adult PSH residents in North Texas (56% female; 57% Black; mean age: 51 years) who participated in a monthly health coaching program from 2014 to 2017. Their health behaviors were assessed at baseline and tracked every six months at three follow-up visits.

RESULTS

Unconditional LGCMs indicated that over time, social support increased, whereas depressive symptoms and substance use problems decreased. However, their rates of change slowed over time. Further, in parallel process growth models, we found that at baseline, individuals with greater social support tended to have less severe depressive symptoms and substance use problems (coefficients: - 0.67, p < 0.01; - 0.52, p < 0.01, respectively). Individuals with a faster increase in social support tended to have steeper rates of reduction in both depressive symptoms (coefficient: - 0.99, p < 0.01) and substance use problems (coefficient: - 0.98, p < 0.01), respectively.

CONCLUSIONS

This study suggests that plausibly, increases in social support, though slowing over time, still positively impact depressive symptoms and substance use problems among PSH residents. Future PSH programs could emphasize social support as an early component as it may contribute to clients' overall health.

Working memory growth predicts mathematical problem-solving growth among emergent bilingual children

An area of mathematics found to be difficult for emergent bilingual children whose first language (L1) is Spanish in the United States is solving mathematical word problems. The purpose of this study was to determine the relationship between growth in the executive component of working memory (WM) and growth in mathematical word-problem solving in children whose L1 is Spanish. Elementary school children (Grades 1, 2, and 3) were administered a battery of mathematical, vocabulary, reading, and cognitive measures (short-term memory [STM], inhibition, and WM) in both Spanish (L1) and English (second language [L2]) in Year 1 and again 1 year later. Multilevel growth modeling showed that growth in WM significantly predicted growth in L1 and L2 mathematical word-problem solving. Furthermore, the contributions of WM to mathematical word-problem-solving growth in both L1 and L2 were independent of language skills in vocabulary, reading, estimation, naming speed, inhibition, STM, and calculation. Overall, the results suggest that the mental activities that underlie WM play a significant role in predictions of L1 and L2 mathematical word-problem-solving accuracy.

The Impact of Clinic Policy Attendance and the Ryan White HIV/AIDS Medical Case Management Program on HIV Clinical Outcomes: A Retrospective Longitudinal Study

Clinic appointment attendance is a significant determinant of improved HIV health outcomes. A retrospective longitudinal analysis from 2009 to 2015 examined the relationship of clinic policy attendance with and without medical case management (MCM) on HIV clinical outcomes. Clinical parameters were abstracted across the study years and latent growth models measured HIV clinical outcomes as a function of time. A total of 2773 patients were included in this study. More than the majority of individuals had 75% clinic policy attendance during each of the study years and the median number of MCM contact visits with the case manager was 4.0 visits per year (p < 0.01). While the overall trend identified improved HIV clinical outcomes across the clinic population over the study period, it also revealed individuals receiving MCM and with 75% clinic policy attendance had significantly faster improvement in HIV clinical outcomes compared to the individuals who did not receive MCM nor had 75% clinic policy attendance. This study identified how MCM, in combination with clinic policy attendance efforts, are useful in quickly improving HIV viral load and CD4 T-cell count. These findings support the continued need for funding of the Ryan White Care Act as it assists with the support of MCM and appointment attendance through the guidance of wrap-around services.

Trajectories of Perceived Workplace Age Discrimination and Long-Term Associations With Mental, Self-Rated, and Occupational Health

OBJECTIVE

This study addresses older employees' trajectories of perceived workplace age discrimination, and the long-term associations among perceived age discrimination and older workers' mental and self-rated health, job satisfaction, and likelihood of working past retirement age. We evaluate the strength and vulnerability integration (SAVI) model.

METHOD

Three waves of data from employed participants were drawn from the Health and Retirement Study (N = 3,957). Latent growth modeling was used to assess relationships between the slopes and the intercepts of the variables, thereby assessing longitudinal and cross-sectional associations.

RESULTS

Perceived workplace age discrimination tends to increase with age, although notable variance exists. The initial status of perceived age discrimination relates to the baseline statuses of depression, self-rated health, job satisfaction, and likelihood of working past retirement age in the expected directions. Over time, perceived age discrimination predicts lower job satisfaction and self-rated health, as well as elevated depressive symptoms, but not likelihood of working past retirement age.

DISCUSSION

This study provides empirical support for the SAVI model and uncovers the "wear and tear" effects of perceived workplace age discrimination on older workers' mental and overall health. We deliberate on social policies that may reduce age discrimination, thereby promoting older employees' health and ability to work longer.

The Impact of the Ryan White HIV/AIDS Medical Case Management Program on HIV Clinical Outcomes: A Longitudinal Study

Medical case management (MCM) is a core medical service in The Ryan White HIV/AIDS Program and aims to provide treatment and care for people living with HIV/AIDS by engaging, identifying and eliminating barriers to HIV care. Little research has examined the impact of this intervention; therefore, the purpose of this study was to examine the how MCM affects HIV clinical outcomes. The study took place at a midwestern, outpatient infectious diseases clinic. This study utilized a longitudinal, retrospective study design to analyze to the impact of MCM engagement on HIV clinical outcomes (viral loads, CD4 counts) from 2009 to 2015 as a time-varying predictor. A total of 2773 patients were included in this study, of which 975 patients (35.2%) engaged in MCM. Among those in MCM, approximately 90% of the population were between 25 and 64 years of age, more than three-quarters were African American men, mean time of HIV care engagement in at this clinic care was 3.2 (± 4.1), while mean years living with HIV was 10.5 (± 7.1). Throughout the study period, those engaged in MCM had a significantly faster improvement in their HIV clinical outcomes compared to the non-MCM group (p < 0.001). The study highlights the significant impact MCM services have on improving CD4 T cell counts and HIV viral loads. The successful care coordination that MCM offers clearly improves health outcomes while creating a network of patient care.

Predictors of Changes in Medication Adherence in Blacks with Hypertension: Moving Beyond Cross-Sectional Data

BACKGROUND

Many studies have examined the multiple correlates of non-adherence in Blacks. However, they are largely cross-sectional; thus, these studies are unable to examine their predictive value on long-term medication adherence.

PURPOSE

The purpose of this study is to examine the predictive role of key psychosocial and interpersonal factors on changes in medication adherence over a 1-year period.

METHODS

Data were collected from 815 Black patients with hypertension followed in community health centers. Hypothesized predictor variables included self-efficacy, depressive symptoms, social support, and patient-provider communication measured at baseline, 6, and 12 months. The dependent variable, medication adherence was assessed at baseline, 6, and 12 months. Latent Growth Modeling was used to evaluate the pathways between the latent predictor variables and medication adherence.

RESULTS

Participants were mostly female, low-income, with high school education or less, and mean age of 57 years. At baseline, high self-efficacy was associated with low depressive symptoms (β = -0.22, p = 0.05), collaborative patient-provider communication (β = 0.17, p = 0.006), and better medication adherence (β = 1.04, p < 0.001). More social support and collaborative patient-provider communication were associated with low depressive symptoms (β = -0.08, p = 0.02; β = -0.18, p = 0.01). More social support was positively associated with collaborative patient-provider communication (β = 0.32, p < 0.001). In the longitudinal model, increasing self-efficacy over time predicted improvements in medication adherence 1 year later (β = 1.76, p < 0.001; CFI = 0.95; RMSEA = 0.04; SRMR = 0.04; Chi-Squared Index of Model Fit = 1128.54).

CONCLUSIONS

Self-efficacy is a key predictor of medication adherence over time in Black patients with hypertension. Initial levels of self-efficacy are influenced by the presence of depressive symptoms as well as the perceived quality of patient-provider communication.

Psychological Distress Mediates the Effect of Alexithymia on 2-Year Change in HIV Viral Load

PURPOSE

Individuals with trait alexithymia (AL) display poor cognitive assimilation of thoughts, feelings, and emotions. This may result in the persistence of stress, anxiety, and depressive disorders. The cumulative effect of this psychological distress is also linked clinical markers of human immunodeficiency virus (HIV) disease progression. This study examines the indirect effect of AL on HIV viral load as a function of baseline levels and change in psychological distress.

METHODS

N = 123 HIV positive adults aged 37.9 ± 9.2 years provided blood samples for HIV-1 viral RNA and CD4 T lymphocytes along with self-reported stress, anxiety, and depression every 6 months for 2 years. A second-order conditional latent growth model was used to represent baseline and 2-year change in cumulative levels of psychological distress and to test the indirect effect of baseline levels of trait AL on change in HIV-1 viral load through this latent measure.

RESULTS

AL was associated with baseline and latent change in psychological distress. Furthermore, baseline psychological distress predicted 2-year change in HIV-1 viral RNA after controlling for viral load at baseline. Altogether, trait AL had a significant indirect effect on change in viral load (β = 0.16, p = 0.03) as a function of baseline levels of distress.

CONCLUSION

Identification and communication of thoughts, feelings, and emotions are important for long-term psychological adaptation in HIV. Greater psychological distress, in turn, allows for persistence of peripheral viral replication.

Brief report: Growth in polysubstance use among youth in the child welfare system

PURPOSE

This paper establishes foundational knowledge on development of polysubstance use among adolescents in the U.S. child welfare system (CWS).

METHOD

Data on U.S. CWS adolescents from the National Study of Child and Adolescent Well-Being were examined for rates of alcohol, marijuana, and hard drug use; and change in use over time.

RESULTS

Past 30-day absolute use was highest for alcohol, but daily/near-daily use highest for marijuana. Marijuana use increased at later time points. A correlated growth model suggested covariation in use of the substances. A curve-of-factors model suggested that higher-order factors explain most variation in substance use, except at the last time point. Those with lower use changed the most across time.

CONCLUSIONS

Subsequent research among CWS adolescents in the U.S. should consider substances jointly. Prevention should focus on marijuana, and later periods of adolescence and CWS involvement. Youth not thought of as at great risk upon entering the CWS may be most vulnerable.

The relationships of change in work climate with changes in burnout and depression: a 2-year longitudinal study of Chinese mental health care workers

Mental health care workers face heavy emotional demand and are prone to work burnout. Work burnout has been associated with poor mental health and work climate, which refers to individual perceptions about work setting. The purpose of this study was to examine whether intra-individual changes in work climate were associated with intra-individual changes in burnout and depression over two years. The present sample included Chinese mental health care workers (N = 312; mean age = 38.6, SD = 9.9) working in a psychosocial rehabilitation institution. The participants completed questionnaires on work climate, work burnout and depression at seven time points across two years. Parallel process latent growth modeling was used to analyze the associations of change between work climate and burnout and depression. Work climate displayed a logarithmic decreasing trend while burnout and depression displayed logarithmic increasing trends over two years. Baseline levels of work climate were negatively and moderately associated with baseline levels of burnout and depression (r = -.44 to -.60, p < .01). Changes in work climate were negatively and moderately associated with change in burnout (r = -.43, p < .01) and change in depression (r = -.31, p < .05). Change in burnout was positively and strongly associated (r = .58, p < .01) with change in depression. The current results support temporal relationships among changes in work climate, burnout and depression across time. Practical implications for future preventive work in burnout interventions were discussed within this population.

Influence of asthma on the longitudinal trajectories of cigarette use behaviors from adolescence to adulthood using latent growth curve models

Objectives:

While epidemiologic research indicates that the prevalence of risk-taking behaviors including cigarette smoking among young people with asthma is substantial, the longitudinal patterns of cigarette smoking in this vulnerable population have received little attention. The aim of this study was to evaluate differences in the longitudinal trajectories of cigarette use behaviors from adolescence to adulthood between young people with and without asthma.

Methods:

Data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) during the years 1994 to 1995 (Wave I, adolescence), 2001 to 2002 (Wave III, young adulthood), and 2007 to 2008 (Wave IV, adulthood) were analyzed (n=12 244). Latent growth curve models were used to examine the longitudinal trajectories of cigarette use behaviors during the transition to adulthood according to asthma status.

Results:

Regardless of asthma status, the trajectory means of cigarette use behaviors were found to increase, and then slightly decrease from adolescence to adulthood. In total participants, there were no statistically significant differences in initial levels and changes in cigarette use behaviors according to asthma status. However, in select sex and race subgroups (i.e., females and non-whites), former asthmatics showed greater escalation in cigarette use behaviors than did non-asthmatics or current asthmatics.

Conclusions:

This study indicated that the changing patterns of cigarette use behaviors during the transition to adulthood among young people with asthma are comparable to or even more drastic than those among young people without asthma.

Including auxiliary item information in longitudinal data analyses improved handling missing questionnaire outcome data

OBJECTIVES

Previous studies show that missing values in multi-item questionnaires can best be handled at item score level. The aim of this study was to demonstrate two novel methods for dealing with incomplete item scores in outcome variables in longitudinal studies. The performance of these methods was previously examined in a simulation study. The two methods incorporate item information at the background when simultaneously the study outcomes are estimated.

STUDY DESIGN AND SETTING

The investigated methods include the item scores or a summary of a parcel of available item scores as auxiliary variables while using the total score of the multi-item questionnaire as the main focus of the analysis in a latent growth model. That way the items help estimating the incomplete information of the total scores. The methods are demonstrated in two empirical data sets.

RESULTS

Including the item information results in more precise outcomes in terms of regression coefficient estimates and standard errors, compared with not including item information in the analysis.

CONCLUSION

The inclusion of a parcel summary is an efficient method that does not overcomplicate longitudinal growth estimates. Therefore, it is recommended in situations where multi-item questionnaires are used as outcome measure in longitudinal clinical studies with incomplete scores because of missing item scores.

A 'missing not at random' (MNAR) and 'missing at random' (MAR) growth model comparison with a buprenorphine/naloxone clinical trial

AIMS

To compare three missing data strategies: (i) the latent growth model that assumes the data are missing at random (MAR) model; (ii) the Diggle-Kenward missing not at random (MNAR) model, where dropout is a function of previous/concurrent urinalysis (UA) submissions; and (iii) the Wu-Carroll MNAR model where dropout is a function of the growth factors. DESIGN : Secondary data analysis of a National Drug Abuse Treatment Clinical Trials Network trial that examined a 7-day versus 28-day taper (i.e. stepwise decrease in buprenorphine/naloxone) on the likelihood of submitting an opioid-positive UA during treatment.

SETTING

11 out-patient treatment settings in 10 US cities.

PARTICIPANTS

A total of 516 opioid-dependent participants.

MEASUREMENTS

Opioid UAs provided across the 4-week treatment period.

FINDINGS

The MAR model showed a significant effect (B = -0.45, P < 0.05) of trial arm on the opioid-positive UA slope (i.e. 28-day taper participants were less likely to submit a positive UA over time) with a small effect size (d = 0.20). The MNAR Diggle-Kenward model demonstrated a significant (B = -0.64, P < 0.01) effect of trial arm on the slope with a large effect size (d = 0.82). The MNAR Wu-Carroll model showed a significant (B = -0.41, P < 0.05) effect of trial arm on the UA slope that was relatively small (d = 0.31).

CONCLUSIONS

This performance comparison of three missing data strategies (latent growth model, Diggle-Kenward selection model, Wu-Carrol selection model) on sample data indicates a need for increased use of sensitivity analyses in clinical trial research. Given the potential sensitivity of the trial arm effect to missing data assumptions, it is critical for researchers to consider whether the assumptions associated with each model are defensible.

Subjective response to alcohol and associated craving in heavy drinkers vs. alcohol dependents: an examination of Koob's allostatic model in humans

BACKGROUND

Koob's allostatic model of addiction emphasizes the transition from positive reinforcement to negative reinforcement as dependence develops. This study seeks to extend this well-established neurobiological model to humans by examining subjective response to alcohol (SR) as a biobehavioral marker of alcohol reinforcement. Specifically, this study examines (a) differential SR in heavy drinkers (HDs) vs. alcohol dependent individuals (ADs) and (b) whether HDs and ADs differ in terms of the association between SR and craving.

METHODS

Data was culled from two alcohol challenge studies, totalling 91 participants (oversampled on OPRM1 Asp40 carriers). Alcohol was administered intravenously and participants completed standard measures of SR and craving at BrAC's of 0.02, 0.04, and 0.06 g/dl. SR was modeled as a multi-dimensional construct consisting of stimulation, sedation, and tension relief.

RESULTS

ADs reported significantly higher sedation and craving initially and exhibited a blunted response to alcohol along escalating BrACs. ADs exhibited greater initial tension but did not differ from HDs in tension reduction across rising BrACs. Further, alcohol-induced stimulation was associated with alcohol craving to a significantly greater degree in HDs, as compared to ADs.

CONCLUSIONS

This study provides initial evidence that HDs and ADs differ in their subjective experience of alcohol and in the association between dimensions of SR and craving for alcohol. Hypotheses derived from the allostatic model were partially supported, such that, while ADs and HDs did not differ on stimulation response, there was a relative dissociation between positive reinforcement and craving in ADs as compared to HDs.