Multilevel Growth Curve Models Research Articles

Social functioning trajectories of young first-episode psychosis patients with and without cannabis misuse: a 30-month follow-up study.

The aim of the study was to investigate trajectories of social functioning in young people with first-episode psychosis (FEP) with and without cannabis misuse using a secondary analysis of data from the Episode-II trial. Forty-two young people with FEP and comorbid cannabis use disorder were compared with 39 young people with FEP but without a cannabis use disorder. Social functioning was assessed every 6 months during a 30-month follow-up. Multilevel linear growth curve modeling was used to compare the social functioning trajectories over time for those with and without cannabis misuse. Cannabis misuse was not associated with social functioning at baseline assessment. Over a 30-month follow-up, FEP patients without cannabis disorder showed significant improvements in their social functioning, whereas patients with cannabis misuse at baseline displayed no such improvement. Patients with and without cannabis misuse differed significantly in their levels of social functioning after 24 months. Similar results were obtained after adjusting for potential confounders (i.e., age, gender, negative symptoms, premorbid functioning, DSM-IV diagnoses, baseline social functioning and other substance use). In the context of a specialized early intervention service, patients with cannabis misuse at baseline did not attain the improvements in social outcomes observed in their counterparts without cannabis misuse. There is a need to develop effective interventions to reduce cannabis misuse to ultimately improve social outcomes in young people with psychosis.

Intergenerational Downward Mobility in Educational Attainment and Occupational Careers in West Germany in the Twentieth Century

What happens in the occupational careers of men if the intergenerational continuity in status reproduction is disrupted by the failure to reproduce the parental level of educational attainment? We frame this failure as a risk for intergenerational status maintenance and ask whether such a risk induces extra effort by way of compensation. By studying eight birth cohorts born between 1919 and 1971 characterized by largely differing conditions with regard to educational and occupational opportunities, we examine how macro-social conditions contribute to opportunities to compensate for such failure later on. In examining this question, we add a new piece to the puzzle of how social origin and education contribute to status attainment and of how the social context shapes these linkages across historical time. We estimated multilevel growth curve models to assess the effect of educational downward mobility (EDM) on the development of occupational status over the career. Our empirical results show that the status of men who experience EDM increases faster over the course of their careers. Moreover, these men reach a slightly higher status as compared with their peers who had reached at least the same educational level as their fathers. The prevailing macro-societal conditions did not cause variation in the effect of EDM on men’s career attainment.

Television Channel Content Profiles and Differential Knowledge Growth: A Test of the Inadvertent Learning Hypothesis Using Panel Data

This study uses four waves of panel data to analyze inadvertent learning—that is, learning in the absence of interest or motivation—from watching public service television channels. Previous research suggests that motivation-based gaps in political knowledge are at least partly a function of the political information opportunities provided by the major television channels in a country, which influence the likelihood of being inadvertently exposed to news and current affairs programs. The present study puts the inadvertent learning hypothesis to a thorough empirical test by analyzing individual-level growth in knowledge over time, based on panel data collected during five months leading up to the Swedish 2010 national election. Using multilevel growth curve modeling and an extensive battery of surveillance knowledge questions, the results show not only (a) that public service channel viewing was related to learning, but also (b) that knowledge growth occurred among public service viewers independently of their political motivation and news attention, and (c) that such learning was even more pronounced among viewers lacking an interest in politics. The findings are discussed in light of ongoing media environmental transformations as well as cross-national comparative media systems research.

The Effects of Check, Connect, and Expect on Behavioral and Academic Growth

Check, Connect, and Expect (CCE) is a secondary tier behavioral intervention that provides students with levels of support including a dedicated “coach” for check-in and check-out procedures, and social skills instruction. Elementary students ( n = 22) in an alternative education school setting received CCE for 13 weeks following 4 weeks of baseline data collection. Measures included (a) daily progress reports (DPR), (b) direct observation of academic engagement, and (c) curriculum-based measures of academic growth (math calculation and oral reading fluency). These measures were used to examine the relationship between CCE and student outcomes using an interrupted time series design and multilevel growth curve modeling. This quasi-experimental within-subjects design compared the slopes and intercepts of baseline student data with intervention student data. Results demonstrate that students displayed statistically significant improvement on DPRs at the onset of CCE and demonstrated positive behavioral growth during CCE. There was also a statistically significant improvement of academic engagement at the onset of CCE. There was no statistically significant change in academic performance. A description of potential moderating variables, future research directions, and practical significance is presented.

The impact of friends on young adults' drinking over the course of the evening--an event-level analysis.

To examine whether young adults' alcohol consumption during the course of an evening was affected by the number of friends present, and the interaction between participants' gender and number of friends present. Participants used the internet-based cellphone-optimized assessment technique (ICAT) to complete a series of cellphone questionnaires every Thursday, Friday and Saturday evening over five weekends. A multi-level growth curve model (hourly assessments, clustered within evenings, clustered within individuals) with time-invariant and time-varying covariates was estimated. French-speaking Switzerland. A total of 183 young adults (53.0% female, mean age = 23.1) who completed 7205 questionnaires on 1441 evenings. Alcohol consumption and number of friends present assessed at 8 p.m., 9 p.m., 10 p.m., 11 p.m. and midnight. Drinking pace accelerated notably over the course of the evening on Saturdays (b = 0.047; P < 0.01). Men consumed more alcohol than women, particularly at the beginning of the evening (b = 0.152; P < 0.05). However, this effect was no longer significant when the impact of friends was accounted for (b = 0.096; P = 0.139). The higher the number of friends present, the higher the number of drinks consumed at a given time during the course of the evening (b = 0.070; P < 0.001). Cross-level interaction effects indicated that this relationship was stronger for men than women (b = 0.027; P < 0.05). Among young adults in Switzerland, the number of friends present is associated positively with hourly drinking frequency during the course of weekend evenings. The impact of the drinking group size on alcohol use is stronger for men than women.

Within-year changes of lesson structure: an exploration of pedagogical functions of lessons by means of multilevel growth curve modelling in Indonesia

Teaching is undoubtedly complex and the complexity of classroom practice implies that the structure of lessons making up teaching may differ and subject to change over time. The aims of this study were to investigate changes in observed lesson structure, and explore the effects of several teacher and contextual characteristics on differences in lesson structure during the first year of secondary education in Indonesia. Fifteen mathematics and English as Foreign Language teachers teaching 32 classes were videotaped four times (32 × 4) across the entire school year. A coding protocol to assess lesson structure focusing on the pedagogical functions of lessons was used. Six lesson components characterizing the general structure of the lessons were observed: introduction, review, introducing new content, student work time, closing and other. Multilevel growth curve modelling was used. Results revealed the six elements of lesson structure to be present, with student work time as the most frequent element. Relatively large class differences in lesson structure were visible. Evidence for changes over time in the components of lesson structure was evident as well. Teaching subject, class type and teaching experience explained differences in lesson structure. This study provides a global discussion about what matters in teaching from the perspective of lesson structure.

A Life Course Trajectory Framework for Understanding the Intracohort Pattern of Wage Inequality

Much research has been devoted to cross-sectional and intercohort patterns of wage inequality, but relatively little is known about the mechanisms for the intracohort pattern of wage inequality. To fill this intellectual gap, this article establishes a life course trajectory (LCT) framework for understanding the intracohort pattern of wage inequality. First, the author proposes and conceptualizes three essential properties of the LCT framework (random variability, trajectory heterogeneity, and cumulative advantage) that are used to establish a mathematical formalization of the LCT framework. Both the conceptualization and the formalization imply that intracohort wage inequality will increase over the life course due to random variability, trajectory heterogeneity, and cumulative advantage. Finally, the author combines the LCT framework with the multilevel growth curve model, then applies the model to data from the NLSY79, and finds support for the significance of random variability, trajectory heterogenei...

Direct and indirect effects of neighborhood characteristics on the perpetration of dating violence across adolescence.

Neighborhood context plays a role in the development of adolescent health risk behaviors, but few studies have investigated the influence of neighborhoods on the perpetration of dating violence. This longitudinal study examined the direct effects of risky neighborhood structural and physical characteristics on trajectories of the perpetration of dating violence, tested whether collective efficacy mediated these relationships, and determined if the effects varied by the sex of the adolescent. Adolescent data are from a multi-wave longitudinal study from grades 8 to 12; neighborhood data were collected from parents' interviews and U.S. Census data. Multilevel growth curve models were conducted with 3,218 students; the sample was 50% male, 41% White, 50% Black, and 9% other race/ethnicity. In models examining risky neighborhood variables one at a time, and controlling for potential individual-level confounders, the sex of the adolescent interacted with economic disadvantage, residential instability, and physical disorder; these risky neighborhood characteristics increased risk for girls' but not boys' perpetrating of dating violence. In full models with all of the risky neighborhood variables, the sex of the adolescent continued to interact with neighborhood economic disadvantage; living in economically disadvantaged neighborhoods increased girls' but not boys' risk for dating violence across all ages. No other risky neighborhood effects were found for boys or girls. Collective efficacy did not mediate the relationships between other neighborhood characteristics and the outcome. These findings suggest that dating violence prevention strategies for girls should consider the contexts in which they live rather than only targeting changes in their individual characteristics.

Day-to-day dynamics of associations between sleep, napping, fatigue, and the cortisol diurnal rhythm in women diagnosed as having breast cancer.

To examine whether day-to-day variations in sleep behaviors, ongoing sleep disturbance, and fatigue predict the cortisol diurnal rhythm in women recently diagnosed as having early-stage breast cancer. Women (N = 130, mean [standard deviation] age = 55.6 [9.4] years) collected saliva 5×/day/2 days for cortisol. Diaries were used to assess prior-day nap duration, nocturnal awakenings, sleep latency, and morning restfulness. Ongoing fatigue and sleep disturbance were measured using the Multidimensional Fatigue Symptom Inventory and the Pittsburg Sleep Quality Inventory. Data were analyzed using a multilevel growth curve modeling. Greater ongoing fatigue (b = 0.035, p = .032), or sleep disturbance (b = 0.026, p = .006) predicted a slower cortisol decline. Greater ongoing fatigue also predicted higher awakening cortisol (b = 0.154, p = .030) and lower cortisol awakening response (CAR; b = -0.146, p = .005). Longer prior-day naps predicted higher CAR (b = 0.042, p = .050) and a steeper cortisol decline (b = -0.035, p = .003). Longer sleep latency predicted both a greater cortisol linear decline (b = -0.013, p < .001) and a greater quadratic slope curvature (b = 0.0007, p < .001). Feeling less rested in the morning predicted lower awakening cortisol (b = -0.187, p = .004), higher CAR (b = 0.124, p = .016), and a slower cortisol decline (b = 0.023, p = .042). Both daily variations in sleep behaviors and ongoing sleep disturbance and fatigue are associated with a disrupted cortisol rhythm. In contrast, prior-day napping is associated with a more robust cortisol rhythm. These findings are particularly relevant to women with breast cancer who often experience sleep disturbance and fatigue. Additional research is needed to determine causal pathways between sleep disturbance and dysregulation of the hypothalamic-pituitary-adrenal axis in patients with breast cancer.

Davanloo's Intensive Short-Term Dynamic Psychotherapy in a tertiary psychotherapy service: overall effectiveness and association between unlocking the unconscious and outcome.

Background. Intensive Short-Term Dynamic Psychotherapy (ISTDP), as developed by Habib Davanloo, is an intensive emotion-focused psychodynamic therapy with an explicit focus on handling resistance in treatment. A core assumption in ISTDP is that psychotherapeutic effects are dependent on in-session emotional processing in the form of rise in complex transference feelings that occurs when treatment resistance is challenged. Recent research indicates that an unlocking of the unconscious, a powerful emotional breakthrough achieved at a high rise in complex transference feelings, can potentially enhance ISTDP’s effectiveness. While ISTDP has a growing evidence base, most of the research conducted has used small samples and has tested therapy delivered by expert therapists. The aims of this study were to evaluate the overall effectiveness of ISTDP when delivered in a tertiary psychotherapy service, and to investigate if having an unlocking of the unconscious during therapy predicted enhanced treatment effectiveness.Methods. A total of 412 patients were included in the analyses. The average length of treatment was 10.2 sessions (SD 13.3). Multilevel growth curve modeling was used to evaluate treatment effectiveness and the association between unlocking the unconscious and outcome. A number of control predictors including type of treatment resistance were selected and included in the analyses. Outcome measures were the Brief Symptom Inventory (BSI) and the Inventory of Interpersonal Problems (IIP). About half of the patients in the study were treated by therapists in training and the other half by more experienced therapists.Results. Growth curve analyses using the full intention-to-treat sample revealed significant within-group effects of ISTDP on both the BSI and the IIP. Effect sizes were large (>0.80). Unlocking the unconscious during therapy was associated with significantly larger treatment outcome. The relationship was further moderated by type of treatment resistance.Conclusion. This study adds to the empirical base of Davanloo’s ISTDP with confirmed treatment effectiveness in a large-scale patient sample when ISTDP was delivered by therapists with a range of experience. Furthermore, emotional mobilization in the form of unlocking the unconscious was confirmed as a process factor enhancing the effectiveness of ISTDP.

151. Day-to-day dynamics of associations between childhood adversity and cortisol diurnal rhythm in women diagnosed with breast cancer

A dysregulated cortisol diurnal rhythm is associated with a poorer prognosis for women with metastatic breast cancer. The purpose of this study was to investigate whether adversity experienced during childhood influences the dynamics of the cortisol rhythm in women newly diagnosed with early stage breast cancer. Women ( N = 98) were evaluated after their diagnosis but before surgery. Women completed the Perceived Stress Scale and the Childhood Trauma Questionnaire to assess their levels of psychological stress and the degree of exposure to childhood adversity, respectively. Over two consecutive days, women collected saliva five times per day for cortisol measurement, while also completing sleep diaries to assess prior-night sleep quality, including nocturnal awakenings, and morning restfulness. Multilevel growth curve modeling was used to examine whether childhood adversity contributed to the day-to-day variations in the cortisol diurnal rhythm. Emotional and physical abuse were significant predictors of the cortisol quadratic slope, indicating that women who reported greater exposure to such childhood adversity had greater levels of cortisol at bedtime. These effects were independent of daily variation in prior-night sleep quality, perceived stress levels, as well as demographic and cancer disease factors. These findings demonstrate childhood adversity to be a preexisting risk factor for dysregulation of the cortisol diurnal rhythm in women experiencing the stress associated with breast cancer diagnosis. Such dysregulation may negatively impact cancer control.

Effects of a brief school-based media literacy intervention on digital media use in adolescents: cluster randomized controlled trial.

The aim of this study was to evaluate the effects of a four-session school-based media literacy curriculum on adolescent computer gaming and Internet use behavior. The study comprised a cluster randomized controlled trial with three assessments (baseline, posttest, and 12-month follow-up). At baseline, a total of 2,303 sixth and seventh grade adolescents from 27 secondary schools were assessed. Of these, 1,843 (80%) could be reached at all three assessments (Mage=12.0 years; SD=0.83). Students of the intervention group received the media literacy program Vernetzte www.Welten ("Connected www.Worlds ") implemented by trained teachers during class time. The control group attended regular class. Main outcome measures were adolescents' computer gaming and Internet use: days per month, hours per day, and addictive use patterns. Parental media monitoring and rules at home were assessed as secondary outcomes. Results of multilevel growth-curve models revealed a significant intervention effect in terms of a lower increase in self-reported gaming frequency (β = -1.10 [95% CI -2.06, -0.13]), gaming time (β = -0.27 [95% CI -0.40, -0.14]), and proportion of excessive gamers (AOR=0.21 [95% CI 0.08, 0.57]) in the intervention group. There were also significant group-time interactions for the addictive gaming scale (β=-0.08 [95% CI -0.12, -0.04]), and the Internet Addiction Scale (β = -0.06 [95% CI -0.10, -0.01]). No effect was found for days and hours of Internet use or parental media behavior. The study shows that the program Vernetzte www.Welten can influence adolescents' media use behavior. Future research should address mediating and moderating variables of program effects.

Personality Predicts Individual Variation in Fear Learning

Although fear-learning research has tended to focus on typical responses, there is substantial individual variation in response to threat. Here, we investigated how personality is related to variability in associative fear learning. We used multilevel growth curve modeling to examine the unique and interactive effects of Stress Reaction (SR) and Harmavoidance (HA; Multidimensional Personality Questionnaire scales) and their corresponding higher-order factors on differential fear conditioning ( n = 225) and extinction ( n = 109; 24–48 hr later). Fear was indexed by fear potentiation of the eyeblink startle reflex. Our findings demonstrated weaker discrimination between threat and safety with high levels of SR. Subsequently, both retention of differential fear acquisition and extinction were weaker with high levels of SR and HA, thereby indicating maladaptive fear learning, whereas they were stronger with low levels of SR and high levels of HA, which suggests efficient fear learning. These findings illustrate how specific personality traits may operate to confer vulnerability or resilience for anxiety disorders.

The role of urban neighbourhood green space in children's emotional and behavioural resilience

This study explored the role of relative quantity of green space in urban English neighbourhoods in predicting parent-reported emotional and behavioural problems from early to middle childhood (ages 3, 5, 7) and in buffering the effects of multiple risk factors (neighbourhood disadvantage, family poverty and adverse life events) on child adjustment. We modelled data from 6384 Millennium Cohort Study children using multilevel growth curve modelling. Neighbourhood green space was measured with the percentage of green space within a standard small area. We found that access to garden and use of parks and playgrounds were related to fewer conduct, peer and hyperactivity problems. Neighbourhood green space was generally unrelated to child adjustment, but poor children in urban neighbourhoods with more greenery had fewer emotional problems from age 3 to 5 than their counterparts in less green neighbourhoods. Neighbourhood green space may promote emotional well-being in poor urban children in early childhood.

Teachers’ collaborative activity in school-wide interventions

Despite the strong interest in research about collaboration among teachers, there are few longitudinal studies that have investigated improvements in collaborative activity among teachers through school-wide interventions. Drawing on data from a larger study, this article describes improvements in collaborative activity among 900 teachers at 28 Norwegian schools. The schools participated in two interventions aiming to strengthen classroom management and to prevent and reduce problem behavior. Collaborative activity was a main implementation strategy in both interventions. The impacts of both school- and teacher-level factors were investigated through latent multilevel growth curve models. Although the results indicated that teachers in both interventions improved in collaborative activity, the teachers who participated in one of the interventions improved more than teachers in the other. The teacher- and school-level factors perceived learning environment, initial collaborative activity, work experience and intervention were associated with baseline and/or growth rate results.

Solidarity in the Grandparent-Adult Grandchild Relationship and Trajectories of Depressive Symptoms.

Grandparent-adult grandchild relationships are becoming longer and more common, and therefore potentially more influential in the lives of individuals. This study examined the influence of solidarity (i.e., affinity, contact, and functional exchange) in the grandparent-adult grandchild relationship upon the depressive symptoms of both members of the dyad. The study used data from the Longitudinal Study of Generations, a survey of 3- and 4-generation U.S. families that included 7 waves of data collection between 1985 and 2004. The sample was comprised of 374 grandparents and 356 adult grandchildren. We analyzed the data using multilevel growth curve models. For both grandparents and adult grandchildren, greater affinity reduced depressive symptoms and more frequent contact increased symptoms. For grandparents only, receiving functional support without also providing it increased depressive symptoms. The average grandparent-adult grandchild relationship is a source of both support and strain to both generations. These relationships exhibit great diversity, however, with large amounts of variation between dyads and within a single dyad over time. We suggest how policy makers and practitioners can identify the relational contexts that best promote the well-being of members of both generations.

Genetic Heterogeneity in Adolescents’ Depressive Symptoms in Response to Victimization

This study had two objectives: first, to determine the degree to which experiences of victimization by peers during adolescence led to a subsequent rise in depressive symptoms, and second, to identify genetic markers that predict depressive reactivity to victimization. We used a cohort sequential design to obtain a longitudinal sample of 1,475 adolescents (3,263 observations) in Grades 8 to 12 (56% female; 47% Black, 46% White). Multilevel growth curve models were used to assess whether victimization predicted depressive symptoms 6 months later, beyond baseline trajectories for depressive symptoms. We modeled the interactive effects of peer victimization with three genetic polymorphisms (on 5-HTTLPR, DRD2 TaqIA, and BDNF Val66Met) on depressive symptoms. Although victimization predicted subsequent depressive symptoms, there was substantial heterogeneity in the magnitude of the effect of victimization. Val alleles, associated with higher brain-derived neurotrophic factor (BDNF) functioning, predicted more sensitivity to victimization. Neither DRD2 TaqIA, a marker associated with dopaminergic functioning, nor 5-HTTLPR, a marker associated with serotonin activity, was associated with sensitivity to victimization. The social stress of peer victimization triggers depressive symptoms most strongly in individuals who are homozygous for the Val allele on the BDNF Val/Met polymorphism. This polymorphism has been linked with sensitivity to social defeat in animal models. Future research should explore behavioral, cognitive, and emotional explanations of the effects of BDNF Val/Met on responsivity to victimization.

How resource dynamics explain accumulating developmental and health disparities for teen parents' children.

This study examines the puzzle of disparities experienced by U.S. teen parents' young children, whose health and development increasingly lag behind those of peers while their parents are simultaneously experiencing socioeconomic improvements. Using the nationally representative Early Childhood Longitudinal Study-Birth Cohort (2001-2007; N ≈ 8,600), we assess four dynamic patterns in socioeconomic resources that might account for these growing developmental and health disparities throughout early childhood and then test them in multilevel growth curve models. Persistently low socioeconomic resources constituted the strongest explanation, given that consistently low income, maternal education, and assets fully or partially account for growth in cognitive, behavioral, and health disparities experienced by teen parents' children from infancy through kindergarten. That is, although teen parents gained socioeconomic resources over time, those resources remained relatively low, and the duration of exposure to limited resources explains observed growing disparities. Results suggest that policy interventions addressing the time dynamics of low socioeconomic resources in a household, in terms of both duration and developmental timing, are promising for reducing disparities experienced by teen parents' children.

Pilots' age and incidents in helicopter emergency medical services: a 5-year observational study.

Helicopter emergency medical services (HEMS) are considered to have a higher risk of incidents compared to other airborne operations. As HEMS poses high cognitive demands, age-related cognitive changes of helicopter pilots might become a safety risk. The aim of this study was to estimate the association between the age of pilots and incidents in HEMS. We conducted a retrospective observational study of incidents during HEMS operations of one Austrian and two German air rescue organizations between 2007 and 2011. The sample included 257 regularly operating HEMS pilots. Age of the pilots varied between 44.52 yr (SD = 7.80) in 2007 and 46.57 yr (SD = 8.14) in 2011. Incidents were categorized as the number of HEMS operations with at least one liability damage (LD). Statistical analyses used multilevel growth curve modeling with generalized linear mixed models. 1770 LD were observed during 402.372 HEMS operations (approximately four LD per 1000 operations). From 2007 to 2011 the average number of LD per year varied between M = 0.95-1.77 for pilots < 35 yr to M = 0.25-1.53 for pilots > or = 60 yr. There was no statistically significant main effect of pilot's age on the number of LD. There was a trend of an interaction effect between age and time, which suggests that pilots with higher age tended to be involved in slightly fewer LD with time than younger pilots. In sum, findings provide no evidence that older pilots have a higher risk than younger pilots of being involved in an incident during HEMS operations.

Aging and Subjective Well-Being in Later Life

This paper examines age-related changes in subjective well-being (SWB) in later life using multiple measures that cover eudemonic, evaluative, and affective dimensions of well-being. Using data from 5 waves of respondents aged 50 and older from the English Longitudinal Study of Ageing (2002-11), we fit multilevel linear growth curve models to examine the cohort differences and individual aging effects on quality of life, depressive symptomatology, and life satisfaction. Older cohorts are shown to have equivalent or better SWB than younger cohorts for each well-being measure. Nonetheless, individual aging effects for each well-being measure were observed with deterioration in well-being being greatest in older cohorts, even when adjusting for age-related changes in later life, including widowhood, retirement, and declining health. The results suggest that although older cohorts enjoy higher levels of SWB than their younger counterparts when under similar circumstances, they experience sharper declines, especially in the very oldest cohorts. The findings demonstrate the importance of separating out cohort differences and aging effects and also of taking into account the multidimensionality of SWB to determine the point at which age deterioration begins to occur across different measures.