Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations

Shek, Daniel T. L.; M.S., Cecilia

doi:10.1100/tsw.2011.2

Cited by 366 publications

(302 citation statements)

References 54 publications

(79 reference statements)

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“…Pairwise comparisons with Bonferroni adjustments for multiple comparisons were used to compare the main effect of time on the severities of depressive symptoms and heroin dependence and the level of QOL. The linear mixed model analysis is useful in analyzing individual changes overtime [45,46] and in unbalanced data (e.g. unequal group sizes) [47].…”

Section: Methodsmentioning

confidence: 99%

Can Heroin-Dependent Individuals Benefit from a Methadone Maintenance Treatment Program before They Drop Out against Medical Advice? A 12-Month Follow-Up Study

Wang

Wu²,

Lin³

et al. 2012

Eur Addict Res

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Aim: Little is known about whether heroin-dependent individuals receiving methadone maintenance treatment (MMT) who were discharged involuntarily and against medical advice (DAMA) get benefits before they left. The aims of this 12-month follow-up study were to examine whether the effects of MMT on depressive symptoms, heroin dependence and quality of life (QOL) are different among the non-DAMA group, the DAMA group, and the involuntarily discharged group, as well as the time effect of receiving MMT on changes in these three outcome indicators. Method: A total of 266 individuals receiving MMT were divided into the non-DAMA group, the DAMA group, and the involuntarily discharged group. Participants were interviewed at baseline and at 3, 6, 9, and 12 months of treatment for levels of depressive symptoms, heroin dependence and QOL. Results: The levels of depressive symptoms, heroin dependence and QOL in all three groups improved after receiving MMT for 3 months and the improvement was maintained during the MMT period. There were no significant differences in the three outcome indicators among the three groups. Conclusion: The results support the concept that heroin-dependent individuals benefit from MMT, even if they do not want to stay in the program or drop out involuntarily.

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Section: Methodsmentioning

confidence: 99%

Can Heroin-Dependent Individuals Benefit from a Methadone Maintenance Treatment Program before They Drop Out against Medical Advice? A 12-Month Follow-Up Study

Wang

Wu²,

Lin³

et al. 2012

Eur Addict Res

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show abstract

“…Multilevel modeling models were specified based on standard procedures. 28 In order to test for changes from pretreatment to posttreatment and from pretreatment to follow-up, time was treated as a categorical variable in the models. The full conditional models tested the effects of time, controlling for pretreatment CBCL Total Problem score.…”

Section: Missing Datamentioning

confidence: 99%

A Single Arm Pilot Trial of Brief Cognitive Behavioral Therapy for Insomnia in Adolescents with Physical and Psychiatric Comorbidities

Palermo

Beals-Erickson²,

Bromberg³

et al. 2017

Journal of Clinical Sleep Medicine

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Study Objectives: The majority of adolescents with chronic insomnia have physical health or psychiatric comorbidities; insomnia is also associated with greater negative daytime symptoms (e.g., depressive symptoms) and reduced overall health-related quality of life (HRQOL). However, to date, there has been limited attention to treatment of insomnia in this population. The purpose of this study was to determine the preliminary efficacy of a brief cognitive behavioral therapy for insomnia (CBT-I) intervention on sleep, psychological symptoms, and HRQOL outcomes in adolescents with insomnia and co-occurring physical or psychiatric comorbidities. Methods: We conducted a single arm pilot trial in which 40 youth (mean age = 14.93, standard deviation = 1.89) with insomnia and physical or psychiatric comorbidities (e.g., depression, chronic pain, anxiety, gastrointestinal problems) received CBT-I in four individual treatment sessions over 4 to 6 w. Adolescents completed 7 days of wrist actigraphy and self-report measures of insomnia, sleep quality and behaviors, psychological symptoms, and HRQOL outcomes at pretreatment, immediate posttreatment, and 3-mo follow-up. Results: CBT-I was associated with improvements in self-reported measures of sleep including insomnia symptoms, sleep quality, sleep hygiene, pre-sleep arousal, and sleep onset latency. Psychological symptoms and HRQOL also improved. Effects were generally sustained at 3-mo follow-up. Conclusions: CBT-I may be efficacious for adolescents with co-occurring physical and mental health comorbidities; future randomized controlled trials are needed to test the effect of CBT-I on sleep, psychological symptoms, and HRQOL and to evaluate maintenance of treatment effects over longer time periods. Keywords: adolescents, chronic pain, cognitive behavioral therapy, depression, health-related quality of life, insomnia, intervention, sleep I NTRO DUCTI O NInsomnia, characterized by difficulties falling asleep or staying asleep, affects 10% of the adolescent population.1 Adolescents with insomnia commonly have comorbid medical and psychiatric disorders, such as depression, anxiety, and chronic pain.2 More recent conceptualizations of insomnia consider it to be a transdiagnostic contributor to the multiple causal factors that underlie medical and psychiatric conditions.3 Insomnia may contribute to the onset, maintenance, and recurrence of these symptoms. For example, insomnia may precede the onset of major depressive episodes and sleep disruption may lead to physical health disorders such as chronic pain.4,5 There is a large evidence base supporting the efficacy of cognitive behavioral therapy for insomnia (CBT-I) among adults with a diverse range of comorbid physical and psychiatric conditions. In contrast, CBT-I is still in early stages of development within child and adolescent populations.There have been a handful of randomized controlled trials of CBT-I in children and adolescents, showing benefit on improving sleep outcomes.7-9 However, most of these trials and existing...

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“…Furthermore, the development of trait and state anxiety was plotted over the course of chemotherapy treatment. Repeated measurements of anxiety and symptom severity at different time points resulted in a nested data set, calling for an analysis approach that accounts for this higher level clustering of individuals' ratings by time to avoid type I errors and biased parameter estimations (Peugh, 2010;Shek and Ma, 2011). Therefore, longitudinal mixed model analyses were used to answer our three research questions as stated above.…”

Section: Analysesmentioning

confidence: 99%

Trajectories and predictors of state and trait anxiety in patients receiving chemotherapy for breast and colorectal cancer: Results from a longitudinal study

Schneider

Kotronoulas

Papadopoulou

et al. 2016

European Journal of Oncology Nursing

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Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations

Cited by 366 publications

References 54 publications

Can Heroin-Dependent Individuals Benefit from a Methadone Maintenance Treatment Program before They Drop Out against Medical Advice? A 12-Month Follow-Up Study

Can Heroin-Dependent Individuals Benefit from a Methadone Maintenance Treatment Program before They Drop Out against Medical Advice? A 12-Month Follow-Up Study

A Single Arm Pilot Trial of Brief Cognitive Behavioral Therapy for Insomnia in Adolescents with Physical and Psychiatric Comorbidities

Trajectories and predictors of state and trait anxiety in patients receiving chemotherapy for breast and colorectal cancer: Results from a longitudinal study

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