Learning Outcomes of e-Learning in Psychotherapy Training and Comparison With Conventional Training Methods: Systematic Review.

BACKGROUND: Mental disorders pose a major public health problem in most western countries. The demand for services for common mental health disorders has been on the rise despite the widespread accessibility of medication. Especially, the supply and demand for evidence-based psychotherapy do not align. Large-scale increase of modern psychotherapy is difficult with current methods of training which are often expensive, time consuming, and dependent on a small number of top-level professionals as trainers. E-learning has been proposed to enhance psychotherapy training accessibility, quality, and scalability. OBJECTIVE: This systematic review aims to provide an overview of the current evidence regarding e-learning in psychotherapy training. In particular, the review examines the usability, acceptability, and learning outcomes associated with e-learning. Learning outcomes are assessed in different modalities including trainee experiences, knowledge acquisition, skill acquisition, and application of trained content in daily practice. Furthermore, the equivalence of web-based training and conventional training methods is evaluated. METHODS: Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a search from Ovid, MEDLINE, PsycINFO, and Scopus databases between 2008 and June 2022 was conducted. Inclusion criteria required studies to describe e-learning systems for psychotherapy training and assess acceptability, feasibility, or learning outcomes. The risk of bias was evaluated for both randomized and nonrandomized studies. Learning outcomes were categorized using the Kirkpatrick model. Effect sizes comparing e-learning and traditional methods were calculated. RESULTS: The search yielded 3380 publications, of which 34 fulfilled the inclusion criteria. Positive learning outcomes are generally associated with various e-learning programs in psychotherapy training including trainee satisfaction, knowledge, and skill acquisition, and in application of trained content in clinical practice. Learning outcomes generally show equivalence between e-learning and conventional training methods. The overall effect size, indicating this disparity, was 0.01, suggesting no significant difference. This literature displays a high level of heterogeneity in e-learning solutions and assessment methods. CONCLUSIONS: e-Learning seems to have good potential to enhance psychotherapy training by increasing access, scalability, and cost-effectiveness while maintaining quality in terms of learning outcomes. Results are congruent with findings related to e-learning in health education in general where e-learning as a pedagogy is linked to an opportunity to carry out learner-centric practices. Recommendations for conducting psychotherapy training programs in blended settings supported by activating learning methods are presented. However, due to the heterogeneity and limitations in the existing literature, further research is necessary to replicate these findings and to establish global standards for e-learning, as well as for the assessment of training outcomes in psychotherapy education. Research is especially needed on the effects of training on patient outcomes and optimal ways to combine e-learning and conventional training methods in blended learning settings.

The Overall Anxiety Severity and Impairment Scale as an Outcome Measure in Internet-Delivered Cognitive Behavioral Therapy for Anxiety Disorders: Observational Study.

BACKGROUND: Internet-delivered cognitive behavioral therapy (iCBT) is effective in the treatment of anxiety disorders. iCBT clinical trials use relatively long and time-consuming disorder-specific rather than transdiagnostic anxiety measurements. Overall Anxiety Severity and Impairment Scale (OASIS) is a brief self-report scale that could offer a universal, easy-to-use anxiety measurement option in disorder-specific and transdiagnostic iCBT programs. OBJECTIVE: We aimed to investigate relationships between OASIS and disorder-specific instruments in iCBT. We expected these relationships to be positive. METHODS: We investigated patients in original nationwide iCBT programs for generalized anxiety disorder (GAD), obsessive-compulsive disorder, panic disorder, and social anxiety disorder, which were administered by Helsinki University Hospital, Finland. In each program, anxiety symptoms were measured using both disorder-specific scales (the 7-item Generalized Anxiety Disorder scale, Penn State Worry Questionnaire, revised Obsessive-Compulsive Inventory, Panic Disorder Severity Scale, and Social Phobia Inventory) and by OASIS. A general linear model for repeated measures (mixed models) and interaction analysis were used for investigating the changes and relationships in the mean scores of OASIS and disorder-specific scales from the first session to the last one. RESULTS: The main effect of linear mixed models indicated a distinct positive association between OASIS and disorder-specific scale scores. Interaction analysis demonstrated relatively stable associations between OASIS and the revised Obsessive-Compulsive Inventory (F822.9=0.09; 95% CI 0.090-0.277; P=.32), and OASIS and the Panic Disorder Severity Scale (F596.6=-0.02; 95% CI -0.108 to -0.065; P=.63) from first the session to the last one, while the 7-item Generalized Anxiety Disorder scale (F4345.8=-0.06; 95% CI -0.109 to -0.017; P=.007), Penn State Worry Questionnaire (F4270.8=-0.52; 95% CI -0.620 to -0.437; P<.001), and Social Phobia Inventory (F862.1=-0.39; 95% CI -0.596 to -0.187; P<.001) interrelated with OASIS more strongly at the last session than at the first one. CONCLUSIONS: OASIS demonstrates clear and relatively stable associations with disorder-specific symptom measures. Thus, OASIS might serve as an outcome measurement instrument for disorder-specific and plausibly transdiagnostic iCBT programs for anxiety disorders in regular clinical practice.

Associations between specific depressive symptoms and psychosocial functioning in psychotherapy.

BACKGROUND: Psychotherapy for depression aims to reduce symptoms and to improve psychosocial functioning. We examined whether some symptoms are more important than others in the association between depression and functioning over the course of psychotherapy treatment. METHODS: We studied associations between specific symptoms of depression (PHQ-9) and change in social and occupational functioning (SOFAS), both with structural equation models (considering liabilities of depression and each specific symptom) and with logistic regression models (considering the risk for individual patients). The study sample consisted of adult patients (n = 771) from the Finnish Psychotherapy Quality Registry (FPQR) who completed psychotherapy treatment between September 2018 and September 2021. RESULTS: Based on our results of logistic regression analyses and SEM models, the baseline measures of depression symptoms were not associated with changes in functioning. Changes in depressed mood or hopelessness, problems with sleep, feeling tired, and feeling little interest or pleasure were associated with improved functioning during psychotherapy. The strongest evidence for symptom-specific effects was found for the symptom of depressed mood or hopelessness. LIMITATIONS: Due to our naturalistic study design containing only two measurement points, we were unable to study the causal relationship between symptoms and functioning. CONCLUSIONS: Changes in certain symptoms during psychotherapy may affect functioning independently of underlying depression. Knowledge about the dynamics between symptoms and functioning could be used in treatment planning or implementation. Depressed mood or hopelessness appears to have a role in the dynamic relationship between depression and functioning.

Direction of dependence analysis for pre-post assessments using non-Gaussian methods: a tutorial.

OBJECTIVE: We introduced methods for solving causal direction of dependence between variables observed in pre- and post-psychotherapy assessments, showing how to apply them and investigate their properties via simulations. In addition, we investigated whether changes in depressive symptoms drive changes in social and occupational functioning as suggested by the phase model of psychotherapy or vice versa, or neither. METHOD: As a Gaussian (normal-distribution) model is unidentifiable here, we used an identifiable linear non-Gaussian structural vector autoregression model, conceptualizing instantaneous effects as during-psychotherapy causation and lagged effects as pre-treatment predictors of change. We tested six alternative estimators in six simulation settings that captured different real-world scenarios, and used real psychotherapy data from 1428 adult patients (Finnish Psychotherapy Quality Registry; assessments on Patient Health Questionnaire-9 and Social and Occupational Functioning Assessment Schedule). RESULTS: The methodology was successful in identifying causal directions in simulated data. The real-data results provided no evidence for single direction of dependence, suggesting shared or reciprocal causation. CONCLUSIONS: A powerful new tool was presented to investigate the process of psychotherapy using observational data. Application to patient data suggested that depression symptoms and functioning may reciprocate or reflect third variables instead of one predominantly driving the other during psychotherapy.

The effects of mandatory home quarantine on mental health in a community sample during the COVID-19 pandemic.

OBJECTIVE: Major public and scientific interest exists on, whether quarantine as a containment measure, could have adverse effects on individual's mental health. We investigated psychic well-being and distress, symptoms of depression and anxiety among individuals imposed to home quarantine. METHODS: By total population sampling in a Finnish suburban city, a total of 57 quarantined cases (participation rate 97%) were identified and followed up for two weeks until expiration of the quarantine. A randomized control group (n = 53) was formed of people seeking laboratory testing for suspected Sars-CoV-2 infection. Primary outcome was the psychic well-being and distress experienced during quarantine measured by the Clinical Outcomes in Routine Evaluation - Outcome Measure (CORE-OM). The cases were followed up by the Clinical Outcomes in Routine Evaluation-10 (CORE-10), Patient Health Questionnaire-9 (PHQ-9), and by the Overall Anxiety Severity and Impairment Scale (OASIS). RESULTS: The median CORE-OM score for the cases was 3.53 (95% CI: 2.23-4.66), and for the controls 3.24 (1.76-3.82), being mostly in the nonclinical to mild range. The difference between the groups was statistically nonsignificant (p = .19). Higher levels of psychic distress were explained by previous psychiatric disorders and living alone, but not having been quarantined. In comparison to controls, the quarantined participants experienced significantly, but slightly lower level of life functioning. At the follow-up, the quarantined participants rated further low on the CORE-10 (median 2.00; 95% CI: 1.00-3.00), the PHQ-9 (1.50; 0.00-3.00), and the OASIS (0.00; 0.00-0.00). CONCLUSIONS: The distress associated with short-term home quarantine may not be to the degree of a mental disorder.

Measurement Invariant but Non-Normal Treatment Responses in Guided Internet Psychotherapies for Depressive and Generalized Anxiety Disorders.

Assessment of treatment response in psychotherapies can be undermined by lack of longitudinal measurement invariance (LMI) in symptom self-report inventories, by measurement error, and/or by wrong model assumptions. To understand and compare these threats to validity of outcome assessment in psychotherapy research, we studied LMI, sum scores, and Davidian Curve Item Response Theory models in a naturalistic guided internet psychotherapy treatment register of 2,218 generalized anxiety disorder (GAD) patients and 3,922 depressive disorder (DD) patients (aged ≥16 years). Symptoms were repeatedly assessed by Generalized Anxiety Disorder Assessment-7 (GAD-7) or Beck Depression Inventory. The symptom self-reports adhered to LMI under equivalence testing, suggesting sum scores are reasonable proxies for disorder status. However, the standard LMI assumption of normally distributed latent factors did not hold and inflated treatment response estimates by 0.2 to 0.3 standard deviation units compared with sum scores. Further methodological research on non-normally distributed latent constructs holds promise in advancing LMI and mental health assessment.

Finnish Psychotherapy Quality Register: rationale, development, and baseline results.

BACKGROUND: The push to systematically follow treatment outcomes in psychotherapies to improve health care is increasing worldwide. To manage psychotherapeutic services and facilitate tailoring of therapy according to feedback a comprehensive and feasible data system is needed. AIMS: To describe the Finnish Psychotherapy Quality Register (FPQR), a comprehensive database on availability, quality, and outcomes of psychotherapies. METHODS: We describe the development of the FPQR and outcome for outsourced psychotherapies for adults in Helsinki and Uusimaa hospital district (HUS). Symptom severity and functioning are measured with validated measures (e.g. CORE-OM, PHQ-9, OASIS, AUDIT, and SOFAS). Questionnaires on therapeutic alliance, risks, methods, and goals are gathered from patients and psychotherapist. RESULTS: During 2018-2021, the FPQR included baseline data for 7274 unique patients and 336 psychotherapists. Response rate of measures was 85-98%. The use of the register was mandatory for the outsourced therapist of the hospital districts, and the patients were strongly recommended to fulfill the questionnaires. We report outcome for three groups of patients (n = 1844) with final/midterm data. The effect sizes for long psychotherapy (Hedge's g = 0.65 of SOFAS) were smaller than those for short psychotherapy (g = 0.75-0.91). Within three months of referral, 26-60% entered treatment depending on short- or long-term therapy. CONCLUSION: The FPQR forms a novel rich database with commensurate data on availability and outcomes of outsourced psychotherapies. It may serve as a basis for a national comprehensive follow-up system of psychosocial treatments. The Finnish system seems to refer patients with milder symptoms to more intensive treatments and achieve poorer results compared to the IAPT model in UK, Norway, or Australia.

Text Topics and Treatment Response in Internet-Delivered Cognitive Behavioral Therapy for Generalized Anxiety Disorder: Text Mining Study.

BACKGROUND: Text mining methods such as topic modeling can offer valuable information on how and to whom internet-delivered cognitive behavioral therapies (iCBT) work. Although iCBT treatments provide convenient data for topic modeling, it has rarely been used in this context. OBJECTIVE: Our aims were to apply topic modeling to written assignment texts from iCBT for generalized anxiety disorder and explore the resulting topics' associations with treatment response. As predetermining the number of topics presents a considerable challenge in topic modeling, we also aimed to explore a novel method for topic number selection. METHODS: We defined 2 latent Dirichlet allocation (LDA) topic models using a novel data-driven and a more commonly used interpretability-based topic number selection approaches. We used multilevel models to associate the topics with continuous-valued treatment response, defined as the rate of per-session change in GAD-7 sum scores throughout the treatment. RESULTS: Our analyses included 1686 patients. We observed 2 topics that were associated with better than average treatment response: "well-being of family, pets, and loved ones" from the data-driven LDA model (B=-0.10 SD/session/∆topic; 95% CI -016 to -0.03) and "children, family issues" from the interpretability-based model (B=-0.18 SD/session/∆topic; 95% CI -0.31 to -0.05). Two topics were associated with worse treatment response: "monitoring of thoughts and worries" from the data-driven model (B=0.06 SD/session/∆topic; 95% CI 0.01 to 0.11) and "internet therapy" from the interpretability-based model (B=0.27 SD/session/∆topic; 95% CI 0.07 to 0.46). CONCLUSIONS: The 2 LDA models were different in terms of their interpretability and broadness of topics but both contained topics that were associated with treatment response in an interpretable manner. Our work demonstrates that topic modeling is well suited for iCBT research and has potential to expose clinically relevant information in vast text data.

Effectiveness of mobile-delivered, therapist-assisted cognitive behavioral therapy for insomnia in nationwide routine clinical care in Finland.

STUDY OBJECTIVES: Internet-delivered cognitive behavioral therapies (iCBTs) are efficacious for insomnia. Few studies have as yet reported their effectiveness in routine care. The objective of this study was to examine the effectiveness of the new Finnish 7-session HUS Helsinki University Hospital-iCBT for Insomnia (HUS-iCBTI) program in nationwide routine care. METHODS: We studied 2,464 physician-referred patients in therapist-supported iCBTI. Treatment was free of charge for patients. The primary measure was the Insomnia Severity Index (ISI); the Patient Health Questionnaire, 4-item version (PHQ-4), and the Alcohol Use Disorders Identification Test (AUDIT-C) were also administered. RESULTS: As many as 75.4% completed the treatment, with the ISI scores declining, on average, by -7.04 points during treatment. Altogether, 91.1% of the completers improved in terms of having a lower ISI score in phase 7 than in phase 1 and 34.0% of the completers achieved remission by phase 7 (ISI score < 8); 46.0% responded to treatment (ISI-score reduction of ≥ 8 points from phase 1). The Cohen's effect size (ISI-score decline) was d = -1.449, showing a large effect. CONCLUSIONS: We observed large benefits for this publicly funded therapist-supported treatment in its naturalistic setting as a part of routine care. Effect sizes were comparable to randomized controlled trials reported earlier. HUS-iCBTI appears to be effective as a treatment for insomnia and may also reduce the risk of other adverse health consequences associated with poor sleep. CITATION: Stenberg J-H, Ritola V, Joffe G, Saarni S, Rosenström T. Effectiveness of mobile-delivered, therapist-assisted cognitive behavioral therapy for insomnia in nationwide routine clinical care in Finland. J Clin Sleep Med. 2022;18(11):2643-2651.

Feasibility of generic, short, and easy-to-use assessment of psychological distress during psychotherapy: Longitudinal measurement invariance of CORE-10 and -OM.

Objective: While the CORE-10 inventory for Clinical Outcome Routine Evaluation has shown good psychometric properties in cross-sectional assessment, the feasibility of generic, short, and easy-to-use longitudinal assessment of a broadband construct such as the targeted "general psychological distress" remains to be psychometrically demonstrated. Therefore, we investigated longitudinal measurement invariance (LMI) of CORE-10. For comprehensiveness, we also analyzed its parent inventory, CORE-OM. Method: We investigated the LMI of pre- and post-therapy CORE-10 and -OM assessments in a naturalistic treatment register of 1715 patients' short psychotherapies, testing whether the construct of "psychological distress" remained the same across the treatments. Results: We observed good psychometric properties and no violations of LMI for CORE-10 in chi-squared equivalence tests, nor in effect-size-based evaluations. Only the highly sensitive chi-squared difference tests detected LMI violations but these had little practical influence. The CORE-OM data did not fit well with factorial models but this was cross-sectional rather than a genuinely longitudinal (LMI-related) issue. Conclusions: CORE-10 appeared a structurally valid measure of general psychological distress and suitable for longitudinal assessment, whereas the CORE-OM had a less clear factorial structure. Regarding psychometrics, these findings support the use of CORE-10 in longitudinal assessment during psychotherapy and do not support CORE-OM.

Internet-Delivered Cognitive Behavioral Therapy for Generalized Anxiety Disorder in Nationwide Routine Care: Effectiveness Study.

BACKGROUND: Therapist-supported, internet-delivered cognitive behavioral therapy (iCBT) is efficacious for generalized anxiety disorder (GAD), but few studies are yet to report its effectiveness in routine care. OBJECTIVE: In this study, we aim to examine whether a new 12-session iCBT program for GAD is effective in nationwide routine care. METHODS: We administered a specialized, clinic-delivered, therapist-supported iCBT for GAD in 1099 physician-referred patients. The program was free of charge for patients, and the completion time was not predetermined. We measured symptoms with web-based questionnaires. The primary measure of anxiety was the GAD 7-item scale (GAD-7); secondary measures were, for pathological worry, the Penn State Worry Questionnaire and, for anxiety and impairment, the Overall Anxiety Severity and Impairment Scale. RESULTS: Patients completed a mean 7.8 (SD 4.2; 65.1%) of 12 sessions, and 44.1% (485/1099) of patients completed all sessions. The effect size in the whole sample for GAD-7 was large (Cohen d=0.97, 95% CI 0.88-1.06). For completers, effect sizes were very large (Cohen d=1.34, 95% CI 1.25-1.53 for GAD-7; Cohen d=1.14, 95% CI 1.00-1.27 for Penn State Worry Questionnaire; and Cohen d=1.23, 95% CI 1.09-1.37 for Overall Anxiety Severity and Impairment Scale). Noncompleters also benefited from the treatment. Greater symptomatic GAD-7-measured relief was associated with more completed sessions, older age, and being referred from private or occupational care. Of the 894 patients with a baseline GAD-7 score ≥10, approximately 421 (47.1%) achieved reliable recovery. CONCLUSIONS: This nationwide, free-of-charge, therapist-supported HUS Helsinki University Hospital-iCBT for GAD was effective in routine care, but further research must establish effectiveness against other treatments and optimize the design of iCBT for GAD for different patient groups and individual patients.

The courses of maternal and paternal depressive and anxiety symptoms during the prenatal period in the FinnBrain Birth Cohort study.

Maternal prenatal symptoms of depression and anxiety have been suggested to impose differential effects on later offspring development, depending on their characteristics, such as timing, intensity and persistence. Paternal symptoms have been less investigated. While knowledge on these trajectory characteristics is essential for improved comprehension of prenatal stress, prospective studies including both expecting parents have been scarce. We aim at identifying and comparing the trajectories of prenatal depressive and anxiety symptoms in both parents in a pregnancy cohort design. The sample included 3202 mothers and 2076 fathers who were recruited to the FinnBrain Birth Cohort study (www.finnbrain.fi). Depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS) and general anxiety by the anxiety scale of the Symptom Checklist -90 (SCL-90) repeatedly at 14, 24, and 34 gestational weeks. Five differential depressive and four anxiety symptom trajectories were identified across pregnancy both in mothers and in fathers. The trajectories of consistently low depressive or anxiety symptoms were associated with higher educational level in both parents, and with nulliparity and non-smoking during pregnancy in mothers. Parents with consistently high or increasing levels of symptoms had more often prenatal SSRI medication. The congruences between elevated depressive and anxiety symptoms at any point in pregnancy, as well as parental trajectories within families were low. However, in this population-based sample, the self-reported symptom levels of both parents were generally very low. Variance in timing and persistence of parent-reported prenatal depressive and anxiety symptoms is potentially important, while symptom trajectories are very similar in mothers and fathers. These differential symptom trajectories and the significance of their correlates should be acknowledged when studying prenatal stress exposures and the related outcomes in children.

Changes in prevalence and correlates of alcohol-use disorders in Finland in an 11-year follow-up.

AIMS: This study aimed to examine changes in prevalence and correlates of alcohol-use disorders (AUD) between 2000 and 2011. We also explored the impact of using multiple imputation on prevalence estimates, to address survey nonresponse. METHODS: The study used a Finnish nationally representative survey of adults aged 30 years and older in 2000 and in 2011. The Munich Composite International Diagnostic Interview (M-CIDI) was used to diagnose AUD in 6005 persons in 2000 (response rate 75%) and 4381 in 2011 (response rate 55%). Multiple imputation using sociodemographic, health, and registry-linked data on mental health hospitalizations was compared with weights to account for nonresponse. RESULTS: Prevalence of 12-month AUD in Finland decreased from 4.6% (95% CI 4.0-5.1) in 2000 to 2.0% in 2011 (95% CI 1.6-2.4). Lifetime AUD prevalence decreased from 10.8% (95% CI 9.9-11.6) to 7.5% (CI 95% 6.8-8.3) from 2000 to 2011. The reduction was observed for people aged 30-64 years. At both time points, AUD prevalence was higher among individuals aged 30-64, men and those unmarried, widowed or divorced. The observed prevalence changes can be partly attributed to reporting and selection bias. The latter was addressed by multiple imputation. CONCLUSIONS: Alcohol use disorders appear to have decreased in Finland from 2000 to 2011, especially for the 30-64 years age group. Males, younger adults and those unmarried, widowed or divorced had a higher risk of AUD.

Weight concerns as a predictor of smoking cessation according to nicotine dependence: A population-based study.

BACKGROUND: Nicotine-dependent smokers find it difficult to quit smoking. Additionally, smoking-specific weight concerns may affect smoking cessation although the evidence is controversial. We investigated whether smoking-specific weight concerns predict the probability of cessation and, if so, whether the effect varies according to the level of nicotine dependence. METHODS: The study was conducted with a population-based sample of 355 adult daily smokers who participated in the baseline examination in 2007 and in the 2014 follow-up. Baseline nicotine dependence was classified as low or high (Fagerström Test for Nicotine Dependence; 0-3 vs. 4-10 points). Within these groups, we examined whether baseline weight concerns predict smoking status (daily, occasional, ex-smoker) at follow-up by using multinomial logistic regression with adjustment for multiple covariates. RESULTS: Among low-dependent participants at baseline, 28.5% had quit smoking, while among highly dependent participants 26.1% had quit smoking. The interaction between weight concerns and nicotine dependence on follow-up smoking status was significant. Among participants with low nicotine dependence per the fully adjusted model, greater weight concerns predicted a lower likelihood of both smoking cessation (relative risk ratio 0.93 [95% CI 0.87-1.00]) and smoking reduction to occasional occurrence (0.89 [95% CI 0.81-0.98]). Weight concerns were not associated with follow-up smoking status among participants with high nicotine dependence. CONCLUSIONS: Weight concerns are associated with a smaller likelihood of quitting among smokers with low nicotine dependence. Weight concerns should be addressed in smoking cessation interventions, especially with smokers who have low nicotine dependence.

Smoking status and abdominal obesity among normal- and overweight/obese adults: Population-based FINRISK study.

Several studies have reported direct associations of smoking with body mass index (BMI) and abdominal obesity. However, the interplay between them is poorly understood. Our first aim was to investigate the interaction between smoking status and BMI on abdominal obesity (waist circumference, WC). Our second aim was to examine how the association of smoking status with WC varies among normal and overweight/obese men and women. We examined 5833 participants from the National FINRISK 2007 Study. The interactions between smoking and BMI on WC were analyzed. Participants were categorized into eight groups according to BMI (normal weight vs. overweight/obese) and smoking status (never smoker, ex-smoker, occasional/light/moderate daily smoker, heavy daily smoker). The associations between each BMI/smoking status -group and WC were analyzed by multiple regressions, the normal-weight never smokers as the reference group. The smoking status by BMI-interaction on WC was significant for women, but not for men. Among the overweight/obese women, ex-smokers (ß = 2.73; 1.99, 3.46) and heavy daily smokers (ß = 4.90; 3.35, 6.44) had the highest estimates for WC when adjusted for age, BMI, alcohol consumption and physical activity. In comparison to never smoking overweight/obese women, the ß-coefficients of ex-smokers and heavy daily smokers were significantly higher. Among men and normal weight women the ß -coefficients did not significantly differ by smoking status. An interaction between smoking status and BMI on abdominal obesity was observed in women: overweight/obese heavy daily smokers were particularly vulnerable for abdominal obesity. This risk group should be targeted for cardiovascular disease prevention.

Associations of Weight Concerns With Self-Efficacy and Motivation to Quit Smoking: A Population-Based Study Among Finnish Daily Smokers.

INTRODUCTION: Concerns about weight gain occurring after smoking cessation may affect motivation and self-efficacy towards quitting smoking. We examined associations of smoking-specific weight concerns with smoking cessation motivation and self-efficacy in a population-based cross-sectional sample of daily smokers. METHODS: Six-hundred biochemically verified (blood cotinine) current daily smokers comprising 318 men and 282 women aged 25-74 years, were studied as part of the National FINRISK (Finnish Population Survey on Risk Factors on Chronic, Noncommunicable Diseases) study and its DIetary, Lifestyle and Genetic factors in the development of Obesity and Metabolic syndrome (DILGOM) sub-study that was conducted in Finland in 2007. Self-reported scales were used to assess weight concerns, motivation and self-efficacy regarding the cessation of smoking. Multiple regression analyses of concerns about weight in relation to motivation and self-efficacy were conducted with adjustments for sex, age (years), body mass index (BMI, [kg/m(2)]), physical activity (times per week), and further controlled for nicotine dependence (Fagerström Test for Nicotine Dependence). RESULTS: Higher levels of weight concerns were associated with lower self-efficacy (ß = -0.07, p < .001) after adjusting for sex and age. The association remained after additional adjustment for BMI and physical activity (ß = -0.07, p < .001). After further controlling for nicotine dependence the association became weaker but remained significant (ß = -0.04, p = .02). There were no statistically significant associations between concerns about weight and motivation for smoking cessation (ß = 0.02, p = 0.16). CONCLUSIONS: These cross-sectional population-based data do not support earlier findings that suggest that smokers with high levels of weight concerns are less motivated to quit smoking. Our data suggest that daily smokers who are highly concerned about weight may have lower self-efficacy for cessation of smoking.

Prevalence and correlates of major depressive disorder and dysthymia in an eleven-year follow-up--results from the Finnish Health 2011 Survey.

BACKGROUND: Up-to-date epidemiological data on depressive disorders is needed to understand changes in population health and health care utilization. This study aims to assess the prevalence of major depressive disorder (MDD) and dysthymia in the Finnish population and possible changes during the past 11 years. METHODS: In a nationally representative sample of Finns aged 30 and above (BRIF8901), depressive disorders were diagnosed with the Composite International Diagnostic Interview (M-CIDI) in 2000 and 2011. To account for nonresponse, two methods were compared: multiple imputation (MI) utilizing data from the hospital discharge register and from the interview in 2000 and statistical weighting. RESULTS: The MI-corrected 12-month prevalence of MDD was 7.4% (95% CI 5.7-9.0) and of dysthymia was 4.5% (95% CI 3.1-5.9), whereas the corresponding figures using weights were 5.4% (95% CI 4.7-6.1) for MDD and 2.0% (95% CI 1.6-2.4) for dysthymia. Women (OR 2.33, 95% CI 1.6-3.4) and unmarried people (OR 1.54, 95% CI 1.2-2.0) had a higher risk of depressive disorders. There was a significant increase in the prevalence of depressive disorders during the follow-up period from 7.3% in 2000 to 9.6% in 2011. Prevalences were two percentage points higher, on average, when using MI compared to weighting. Hospital treatments for depressive disorders and other mental disorders were strongly associated with nonparticipation. LIMITATIONS: The CIDI response rate dropped from 75% in 2000 to 57% in 2011, but this was accounted for by MI and weighting. CONCLUSIONS: Depressive disorders are a growing public health concern in Finland. Non-participation of persons with severe mental disorders may bias the prevalence estimates of mental disorders in population-based studies.

Prevalence and correlates of eating disorders among young adults in Finland.

BACKGROUND: This study investigated the epidemiology of eating disorders in a population-based sample of young adults. METHOD: A mental health questionnaire was sent to a nationally representative two-stage cluster sample of 1863 Finns aged 20-35 years. All screen-positives and a random sample of screen-negatives were invited to participate in a Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) interview. Case records from all lifetime mental health treatments were also obtained and were used to complement the diagnostic assessment. RESULTS: The lifetime prevalence of anorexia nervosa, bulimia nervosa, eating disorder not otherwise specified and any eating disorder among women were 2.1%, 2.3%, 2.0% and 6.0%, respectively, while there was only one man with an eating disorder. Unlike other mental disorders, they are associated with high education. Of women diagnosed with lifetime eating disorder, 67.9% had at least one comorbid Axis I psychiatric disorder, most commonly depressive disorder. While 79.3% of women with lifetime eating disorder had had a treatment contact, only one third of persons with current eating disorder had a current treatment contact. Women whose eating disorder had remitted still experienced more psychological distress and had lower psychosocial functioning that women without lifetime Axis I disorders. CONCLUSION: Eating disorders are the fourth largest group of mental disorders among young women. They tend to be comorbid, often remain untreated and are associated with residual symptoms after the remission of eating disorder symptoms.

Dietary and lifestyle characteristics associated with normal-weight obesity: the National FINRISK 2007 Study.

The aim of the present study was to compare the lifestyle (leisure-time physical activity, smoking habits and alcohol consumption) and dietary (energy-yielding nutrients, dietary fibre and foods) factors of Finns with a new syndrome called normal-weight obesity (NWO) with those of lean and overweight Finns. The representative population-based study included 4786 participants (25-74 years) from the National FINRISK 2007 Study with a health examination and questionnaires. Food intake was assessed using a validated FFQ. NWO was defined to include those with a normal BMI (<25 kg/m²) but excessive body fat (for men ≥20 % and for women ≥30 %) according to WHO definitions. The proportion of participants with a normal BMI was 28 % in men and 42 % in women. Of these, 34 % of the men and 45 % of the women had the NWO syndrome (among all the participants, 10 and 19 %, respectively). The waist circumference of the NWO participants was between that of the lean and overweight participants. Some potential risk factors, such as physical inactivity, (ex)-smoking and alcohol consumption, were related to NWO. In general, the intakes of energy-yielding nutrients were not associated with NWO. Instead, some healthy dietary factors (e.g. low intakes of meat and soft drinks) as well as unhealthy factors (e.g. low intakes of root vegetables, cereals and fish and high intake of confectionery) were related to NWO. The findings might explain why the NWO participants were of normal weight, but had an excessive body fat percentage. In conclusion, the proportion of normal-weight participants with an excessive body fat percentage was surprisingly high. The identification of NWO people may be of importance because although they appear lean, they have some unhealthy lifestyle and dietary habits related to obesity and overall health.