Excessive use of electronic devices among children and adolescents is associated with musculoskeletal symptoms, visual symptoms, psychosocial health, and quality of life: a cross-sectional study.

Objective: Electronic devices have become an indispensable part of our daily lives. The frequency and duration of device use in children and adolescents have increased drastically over the years and the study of its negative musculoskeletal, visual and psychosocial health impacts is necessary. Materials and methods: This cross-sectional study aimed to evaluate the associations between electronic device use and the prevalence and severity of musculoskeletal symptoms, visual symptoms, psychosocial health, and quality of life in children and adolescents studying at primary and secondary schools. Data were collected through confidential online and paper-and-pencil questionnaires. Primary 4-5 and Secondary 1-4 students were recruited from 3 schools in Hong Kong. Demographics, frequency and duration of electronic device use, frequencies of musculoskeletal symptoms, visual symptoms, psychosocial health, and quality of life outcomes were measured. Results: 1,058 children and adolescents aged 9-17 years participated. Sixty-one percent and 78% of all students spent more than 2 h per day using electronic devices during school days and weekend/holidays, respectively. Extended electronic device use was associated with increased prevalence and severity of musculoskeletal symptoms (ρ's = 0.28-0.33, P's < 0.001), visual symptoms (ρ's = 0.33-0.35, P's < 0.001), and poorer device use-related psychosocial health (ρ's = 0.38-0.47, P's < 0.001). Secondary school students reported greater device use and severity of symptoms than primary school students. Conclusion: Excessive electronic device use was associated with increased prevalence and severity of physical and psychosocial symptoms, and such use is more prevalent in adolescents when compared to the children. The findings have important health implications for children and adolescents, suggesting that early intervention is needed to reduce the risk of developing device use-related disorders.

A randomized controlled trial of social cognition and interaction training for persons with first episode psychosis in Hong Kong.

Social cognitive impairment is a core limiting factor of functional recovery among persons with first episode psychosis (FEP). Social Cognition and Interaction Training (SCIT) is a group-based, manualized training with demonstrated evidence in improving social cognitive performance among people with schizophrenia. However, there are few studies on the effect of SCIT for people with FEP and for people in non-Western societies. This study evaluated the feasibility, acceptability and initial effectiveness of the locally-adapted SCIT in improving social cognitive functioning in Chinese people with FEP. The SCIT was delivered two sessions per week over a 10-weeks period, each session lasted for 60-90 min. A total of 72 subjects with FEP were recruited from an outpatient clinic and randomized to conventional rehabilitation ("Rehab") and experimental ("SCIT and Rehab") groups. Primary outcome measures included four social cognitive domains including emotion perception, theory-of-mind, attributional bias and jumping-to-conclusion, and secondary measures included neurocognition, social competence and quality of life. Participants were assessed at baseline, post-treatment, and 3-months post-treatment. Repeated measures ANCOVAs, with baseline scores as covariates, were used to compare the group differences in various outcomes across time. The results showed that the SCIT was well-accepted, with a satisfactory completion rate and subjective ratings of relevance in the experimental group. Moreover, treatment completers (n = 28) showed evidence of an advantage, over conventional group (n = 31), in reduced attributional bias and jumping-to-conclusions at treatment completion, lending initial support for the SCIT in Chinese people with FEP. Future research should address the limitations of this study, using more refined outcome measurements and higher treatment intensity of the SCIT.

Evaluation of an occupation-based sleep programme for people with Insomnia.

Background: Sleep problems are a health issue worldwide. Based on the Person-Environment-Occupation-Performance model, we developed an occupation-based sleep programme to promote awareness of sleep hygiene factors, promote an environment conductive to sleep, and restructure participation in daytime activities with a focus on occupational balance. Method: This study uses a non-equivalent group design to evaluate the effectiveness of an occupation-based sleep intervention among community-dwelling adults with insomnia, when compared with a treatment-as-usual (TAU) group which focused on sleep hygiene, and relaxation. Results: When compared with the TAU group (n = 20), the intervention group (n = 22) had significant improvement in sleep duration, occupational balance, and reduction in mood symptoms at both post treatment and 1-month follow up. Conclusion: The results demonstrated that an occupation-based programme is an effective treatment for insomnia disorder and demonstrated the role which occupational therapy could play in primary health care service.

Finding Primary Care-Repurposing Physician Registration Data to Generate a Regionally Accurate List of Primary Care Clinics: Development and Validation of an Open-Source Algorithm.

BACKGROUND: Some Canadians have limited access to longitudinal primary care, despite its known advantages for population health. Current initiatives to transform primary care aim to increase access to team-based primary care clinics. However, many regions lack a reliable method to enumerate clinics, limiting estimates of clinical capacity and ongoing access gaps. A region-based complete clinic list is needed to effectively describe clinic characteristics and to compare primary care outcomes at the clinic level. OBJECTIVE: The objective of this study is to show how publicly available data sources, including the provincial physician license registry, can be used to generate a verifiable, region-wide list of primary care clinics in British Columbia, Canada, using a process named the Clinic List Algorithm (CLA). METHODS: The CLA has 10 steps: (1) collect data sets, (2) develop clinic inclusion and exclusion criteria, (3) process data sets, (4) consolidate data sets, (5) transform from list of physicians to initial list of clinics, (6) add additional metadata, (7) create working lists, (8) verify working lists, (9) consolidate working lists, and (10) adjust processing steps based on learnings. RESULTS: The College of Physicians and Surgeons of British Columbia Registry contained 13,726 physicians, at 2915 unique addresses, 6942 (50.58%) of whom were family physicians (FPs) licensed to practice in British Columbia. The CLA identified 1239 addresses where primary care was delivered by 4262 (61.39%) FPs. Of the included addresses, 84.50% (n=1047) were in urban locations, and there was a median of 2 (IQR 2-4, range 1-23) FPs at each unique address. CONCLUSIONS: The CLA provides a region-wide description of primary care clinics that improves on simple counts of primary care providers or self-report lists. It identifies the number and location of primary care clinics and excludes primary care providers who are likely not providing community-based primary care. Such information may be useful for estimates of capacity of primary care, as well as for policy planning and research in regions engaged in primary care evaluation or transformation.

Translation and validation of the Reaction to Impairment and Disability Inventory for Chinese population in Hong Kong.

PURPOSE: This study translated the reaction to impairment and disability inventory (RIDI) to Chinese and validated it for use in Hong Kong. METHODS: We conducted an instrument validation of the Chinese RIDI, with a sample of 244 persons with CID. The research questionnaire collected demographic information, illness-related variables, the Chinese version of RIDI (C-RIDI), and measures of resilience and well-being. We examined the factor structure, internal consistency, convergent validity, and criterion-related validity of the C-RIDI. RESULTS: The C-RIDI has good content validity and no major changes to the translated items were needed for the use in Hong Kong. For factor structure, we replicated the results of Livneh et al. The C-RIDI has two second-order factors of adaptive and nonadaptive scales, which interact with the two denial subscales. Internal consistency of the subscales is satisfactory except for the three-item denial subscales. Correlations of the C-RIDI subscales with illness-related variables, resilience, and mental well-being are consistent with our hypotheses and provide support for the convergent and criterion-related validity of the scale. CONCLUSIONS: The C-RIDI has satisfactory psychometric properties. The study results support its internal consistency, convergent validity, criterion-related validity, and factorial validity.IMPLICATIONS FOR REHABILITATIONEmotional adjustment to chronic illness and disability is a key determinant of illness self-management, mental well-being, and quality of life.The study translated the reaction to impairment and disability inventory into Chinese and conducted a psychometric evaluation of the translated instrument.The Chinese RIDI had a similar second-order factor structure as in the validation studies of the English version, and result of this confirmatory factor analysis support the theory underlying the design of the RIDI.The Chinese RIDI had satisfactory convergent and criterion-related validity and internal consistency, and is ready for application in rehabilitation practice and research in the Chinese context.

Cognitive and Emotional Appraisal of Motivational Interviewing Statements: An Event-Related Potential Study.

The counseling process involves attention, emotional perception, cognitive appraisal, and decision-making. This study aimed to investigate cognitive appraisal and the associated emotional processes when reading short therapists' statements of motivational interviewing (MI). Thirty participants with work injuries were classified into the pre-contemplation (PC, n = 15) or readiness stage of the change group (RD, n = 15). The participants viewed MI congruent (MI-C), MI incongruent (MI-INC), or control phrases during which their electroencephalograms were captured. The results indicated significant Group × Condition effects in the frontally oriented late positive complex (P600/LPC). The P600/LPC's amplitudes were more positive-going in the PC than in the RD group for the MI congruent statements. Within the PC group, the amplitudes of the N400 were significantly correlated (r = 0.607-0.649) with the participants' level of negative affect. Our findings suggest that the brief contents of MI statements alone can elicit late cognitive and emotional appraisal processes beyond semantic processing.

Problematic Use of Internet-Related Activities and Perceived Weight Stigma in Schoolchildren: A Longitudinal Study Across Different Epidemic Periods of COVID-19 in China.

Background: Social distancing and school suspension due to the coronavirus pandemic (COVID-19) may have a negative impact on children's behavior and well-being. Problematic smartphone use (PSU), problematic social media use (PSMU) and perceived weight stigma (PWS) are particularly important issues for children, yet we have a poor understanding of how these may have been affected by lockdowns and physical isolation resulting from COVID-19. This research aimed to understand how these psychosocial and behavioral variables may be associated with psychological distress, and how these associations may have changed during the COVID-19 pandemic. Methods: A total of 489 children completed a three-wave longitudinal study from January 2020 to June 2020. The first wave was conducted before the COVID-19 outbreak. The second wave was conducted during the outbreak. The third wave was conducted during post-COVID-19 lockdown. Questionnaires measured psychological distress, PSU, PSMU, and PWS. Results: PSU, PSMU, PWS and psychological distress were all significantly associated with each other. PSU was significantly higher during outbreak. PWS was significantly higher before outbreak. We found an increased association between PSMU and PWS across three waves in all three models. The association between PSU and depression/anxiety decreased across three waves; however, association between PSMU and depression/anxiety increased across three waves. Conclusions: COVID-19 initiated school suspension and associated lockdowns appear to have exacerbated PSU and depression among children. However, PWS was reduced during this period. Children should use smartphones and social media safely and cautiously, and be aware of the potential exposure to weight stigmatization.

Development and pilot evaluation of the Cognition domain of the Hong Kong Comprehensive Assessment Scales for Toddlers.

Purpose: To describe the development of the Cognition domain of the Hong Kong Comprehensive Assessment Scales for Toddlers (HKCAS-T).Methods: Participants included 345 toddlers aged 18-41 months, with 258 recruited from Maternal and Child Health Centers (MCHCs) and 87 with cognitive delay recruited from Child Assessment Centers (CACs). They were individually administered the 83-item pilot version by medical practitioners or educational psychologists between 2017 and 2019 in MCHCs and CACs in Hong Kong.Results: Rasch analysis results supported the unidimensionality of the pilot version, after removing six items. Analysis of covariance results indicated that both the 83-item version and the 77-item version could differentiate between children of different age groups, and children with typical development from children with cognitive delay. Internal consistency and interrater reliability were 0.90 or above.Conclusions: The Cognition domain of the HKCAS-T is a promising developmental assessment tool for the assessment of toddlers. Cognition assessment, preschool, Chinese.

The Effectiveness of a School-Based Social Cognitive Intervention on the Social Participation of Chinese Children with Autism.

This study evaluates the efficacy of a school-based social cognitive intervention for children with autism. Seventy-four children and adolescents were taught visually scaffolded, theory of mind-based social skills program. Using a mixed-methods approach, children's social competence was assessed at pre-test and post-test. Compared to a waitlist control group, children in the intervention group demonstrated significantly greater gains on theory-of-mind and social skill measures. Focus groups and interviews were conducted to explore parents' views and generalization of children's social skills across settings. Children's social participation exhibited improvement in home, community, and school settings. The study findings offer promising evidence for a cost-effective program and support of the school-based social skills intervention for children with ASD in Hong Kong context.

Evaluation of a computer-assisted cognitive remediation program for young people with psychosis: A pilot study.

BACKGROUND: People with psychosis have a range of neuropsychological impairments that impact their functional abilities and rehabilitation outcomes. We designed a Computer-Assisted Cognitive Remediation (CACR) program to help young people with psychosis to restore their cognitive function. The program combines the drill-and-practice approach and the strategic approach to remediation, with sixteen sessions of computerized cognitive training, two sessions of psychoeducation, and four session of coaching on applying cognitive skills to daily life. METHOD: This was a randomized, single-blind, controlled study in which the outcomes of the CACR program were compared with outcomes of a treatment-as-usual (TAU) control group. Pre-intervention and post-intervention measures were compared. RESULTS: When compared with the control group, the intervention group had significant increases in their MCCB neurocognitive composite scores, and specifically in the areas of verbal learning and speed of processing at posttest. They also had significant increases in their secondary outcome measures of mental well-being and perceived occupational competence. There were no significant differences in functional status between the two groups at post-test. CONCLUSIONS: The CACR program was effective in improving overall cognitive function and in the specific domains of verbal learning, speed of processing, and effect sizes were small. Participants also experienced positive changes in mental well-being and perceived competence.

Amino Acid-Containing Phase-Selective Organogelators: A Water-Based Delivery System for Oil Spill Treatment.

The simple structural modification of replacing a terminal carboxylic acid with a primary amide group was found to lower the minimum gelation concentration (MGC), by at least an order of magnitude, for a series of N-lauroyl-l-amino acid phase-selective organogelators in decane. The amide-functionalized analogue N-lauroyl-l-alanine-CONH2 was demonstrated to gel a broad range of solvents from diesel to THF at MGCs of 2.5% w/v or less, as well as to produce gels with a higher thermal stability (ca. 30 °C) and enhanced mechanical properties (5 times increase in complex modulus), compared to the carboxylic acid analogue, N-lauroyl-l-alanine-COOH. These improved properties may be due to the additional hydrogen bonding in the primary amide analogue as revealed by SCXRD. Most significantly for this study, the introduction of the primary amide functionality enabled N-lauroyl-l-alanine-CONH2 to form a self-assembled fibrillar network in water. The aqueous network could then actively uptake and rapidly gel decane, diesel, and diluted bitumen ("dilbit") with MGCs of 2.5% w/v or less. This aqueous delivery method is advantageous for oil-remediation applications as no harmful carrier solvents are required and the gel can be easily separated from the water, allowing the oil to be recovered and the gelator recycled.

Machine learning models for net photosynthetic rate prediction using poplar leaf phenotype data.

BACKGROUND: As an essential component in reducing anthropogenic CO2 emissions to the atmosphere, tree planting is the key to keeping carbon dioxide emissions under control. In 1992, the United Nations agreed to take action at the Earth Summit to stabilize and reduce net zero global anthropogenic CO2 emissions. Tree planting was identified as an effective method to offset CO2 emissions. A high net photosynthetic rate (Pn) with fast-growing trees could efficiently fulfill the goal of CO2 emission reduction. Net photosynthetic rate model can provide refernece for plant's stability of photosynthesis productivity. METHODS AND RESULTS: Using leaf phenotype data to predict the Pn can help effectively guide tree planting policies to offset CO2 release into the atmosphere. Tree planting has been proposed as one climate change solution. One of the most popular trees to plant are poplars. This study used a Populus simonii (P. simonii) dataset collected from 23 artificial forests in northern China. The samples represent almost the entire geographic distribution of P. simonii. The geographic locations of these P. simonii trees cover most of the major provinces of northern China. The northwestern point reaches (36°30'N, 98°09'E). The northeastern point reaches (40°91'N, 115°83'E). The southwestern point reaches (32°31'N, 108°90'E). The southeastern point reaches (34°39'N, 113°74'E). The collected data on leaf phenotypic traits are sparse, noisy, and highly correlated. The photosynthetic rate data are nonnormal and skewed. Many machine learning algorithms can produce reasonably accurate predictions despite these data issues. Influential outliers are removed to allow an accurate and precise prediction, and cluster analysis is implemented as part of a data exploratory analysis to investigate further details in the dataset. We select four regression methods, extreme gradient boosting (XGBoost), support vector machine (SVM), random forest (RF) and generalized additive model (GAM), which are suitable to use on the dataset given in this study. Cross-validation and regularization mechanisms are implemented in the XGBoost, SVM, RF, and GAM algorithms to ensure the validity of the outputs. CONCLUSIONS: The best-performing approach is XGBoost, which generates a net photosynthetic rate prediction that has a 0.77 correlation with the actual rates. Moreover, the root mean square error (RMSE) is 2.57, which is approximately 35 percent smaller than the standard deviation of 3.97. The other metrics, i.e., the MAE, R2, and the min-max accuracy are 1.12, 0.60, and 0.93, respectively. This study demonstrates the ability of machine learning models to use noisy leaf phenotype data to predict the net photosynthetic rate with significant accuracy. Most net photosynthetic rate prediction studies are conducted on herbaceous plants. The net photosynthetic rate prediction of P. simonii, a kind of woody plant, illustrates significant guidance for plant science or environmental science regarding the predictive relationship between leaf phenotypic characteristics and the Pn for woody plants in northern China.

Horticultural Therapy Program for People with Mental Illness: A Mixed-Method Evaluation.

BACKGROUND: Horticultural therapy (HT) has long been used in the rehabilitation of people with mental illness, but many HT programs are not standardized, and there have been few evaluation studies. AIMS: This study evaluated the process and outcomes of a standardized horticultural program using a mixed methodology, i.e., systematic integration ("mixing") of quantitative and qualitative data within a study. METHODS: Participants who have mental illnesses were assigned to a treatment (HT) and a comparison group (n = 41 for each group). The process and outcomes of the program, including stress and anxiety, engagement and participation, affect changes, mental well-being, and social exchange, were obtained using self-completed questionnaires, observational ratings of participants during the group, as well as through a focus group. RESULTS: The study results supported the proposal HT is effective in increasing mental well-being, engagement, and the sense of meaningfulness and accomplishment of participants. Many participants reported a reduction in stress and anxiety in the focus group, but positive changes in affect were not fully observed during the group process or captured by quantitative measures. The participants also did not report increases in the social exchange over the HT sessions. CONCLUSION: The evidence supports that HT is effective in increasing mental well-being, engagement in meaningful activities, but did not result in significant affect changes during therapy, or increase social exchanges among people with mental illness.

Measuring the occupational balance of people with insomnia in a Chinese population: Preliminary psychometric evidence on the Chinese version of the Occupational Balance Questionnaire.

BACKGROUND: Occupational balance, a fundamental concept in occupational therapy, is the arrangement of right amount and variety of occupations contributes to a person's health and well-being. This study was aimed to investigate the reliability and validity of the Chinese version of the Occupational Balance Questionnaire (OB-Quest) for people with insomnia. METHODS: The OB-Quest was translated into traditional Chinese and reviewed by an expert panel for content validity, cultural relevance and translation accuracy. Internal consistency, factor analysis and convergent validity, as well as test-retest reliability, were explored. RESULTS: The participants (n = 205), 115 adults with insomnia and 90 adults without insomnia, completed a survey of demographic background, the Chinese version of OB-Quest and the Chinese Insomnia Severity Index (C-ISI). The Chinese version of OB-Quest demonstrated excellent test-retest reliability (ICC= 0.98) and good internal consistency (Cronbach's α = 0.80). Factor analysis indicated that a single-factor solution explained 42% of the variance, and 9 out of 10 items had a factor loading of 0.4 or above. The Chinese version of OB-Quest had significant correlations with C-ISI (r = -0.88; p < 0.001). A significant difference was found in occupational balance between groups with different levels of insomnia severity and without insomnia (F = 169.72; p < 0.001). As in a previous study, age, living environment and life role had no significant relationship with occupational balance. CONCLUSION: The Chinese version of OB-Quest is a short, easy to understand and culturally relevant assessment for Chinese. It demonstrates satisfactory psychometric properties and had significant correlations with insomnia.

Psychometric Properties of Sensory Processing and Self-Regulation Checklist (SPSRC).

BACKGROUND: Some children may encounter difficulties in processing sensory stimuli, which may affect their ability to participate in activities of daily living. Self-regulation abilities may also affect children on how to process different sensory experiences. The Sensory Processing and Self-Regulation Checklist (SPSRC) was developed as a single, parent-reported instrument for the examination of sensory processing and self-regulation difficulties in children. AIMS: This study is aimed at evaluating the psychometric properties of the SPSRC and examine the patterns of self-regulation and sensory processing in children with and without autism spectrum disorder (ASD). METHODS AND PROCEDURES: The contents of the SPSRC were validated by a group of experts, and a field test was subsequently conducted to examine the reliability and validity of this instrument in a sample of 997 typically developing children and 78 children with ASD. OUTCOMES AND RESULTS: The results of the validation and field test analyses suggest that the SPSRC exhibits high internal consistency, good intrarater reliability, and a valid ability to measure and discriminate sensory processing and self-regulation in children aged 3-8 years with and without ASD. CONCLUSIONS AND IMPLICATIONS: The current results supported the reliability and validity of SPSRC to assess a child's sensory processing and self-regulation performance in activities of daily living. The study findings warrant further investigation to compare the performance of the SPSRC with laboratory-based tests, as this would better elucidate sensory responsivity in children with sensory modulation disorders from both clinical and research perspectives.

Effects of repetitive transcranial magnetic stimulation (rTMS) on craving and substance consumption in patients with substance dependence: a systematic review and meta-analysis.

BACKGROUND AND AIMS: Repetitive transcranial magnetic stimulation (rTMS) is increasingly used as an intervention for treating substance dependence. We aimed to assess evidence of the anti-craving and consumption-reducing effects of rTMS in patients with alcohol, nicotine and illicit drug dependence. METHODS: A systematic review and meta-analysis of 26 randomized controlled trials (RCTs) published from January 2000 to October 2018 that investigated the effects of rTMS on craving and substance consumption in patients with nicotine, alcohol and illicit drug dependence (n = 748). Craving, measured using self-reported questionnaires or visual analog scale, and substance consumption, measured using self-report substance intake or number of addiction relapse cases, were considered as primary and secondary outcomes, respectively. Substance type, study design and rTMS parameters were used as the independent factors in the meta-regression. RESULTS: Results showed that excitatory rTMS of the left dorsolateral pre-frontal cortex (DLPFC) significantly reduced craving [Hedges' g = -0.62; 95% confidence interval (CI) = -0.89 to -0.35; P < 0.0001], compared with sham stimulation. Moreover, meta-regression revealed a significant positive association between the total number of stimulation pulses and effect size among studies using excitatory left DLPFC stimulation (P = 0.01). Effects of other rTMS protocols on craving were not significant. However, when examining substance consumption, excitatory rTMS of the left DLPFC and excitatory deep TMS (dTMS) of the bilateral DLPFC and insula revealed significant consumption-reducing effects, compared with sham stimulation. CONCLUSION: Excitatory repetitive transcranial magnetic stimulation of the dorsolateral pre-frontal cortex appears to have an acute effect on reducing craving and substance consumption in patients with substance dependence. The anti-craving effect may be associated with stimulation dose.

Self-Harm and Suicide Among Children and Adolescents in Hong Kong: A Review of Prevalence, Risk Factors, and Prevention Strategies.

This paper reviews the prevalence, risk factors, and effectiveness of prevention programs for self-harm and suicide among children and adolescents in Hong Kong. Youth suicide rates declined gradually over the past two decades, but it is alarming to see that self-harm, suicidal thoughts, and attempts are quite common among junior secondary students. Local studies identify psychopathology (especially depression) and family relationship issues as the most common risk factors of suicide and self-harm, and impulsive control issues are an additional factor contributing to self-harm. In the second part, this paper reviews the evidence for six types of universal and selective prevention strategies identified from local and overseas literature: (1) restriction of access to means of suicide; (2) guidelines for responsible media reporting of suicides; (3) provision of quality mental healthcare to at-risk populations; (4) school-based screening and prevention programs; (5) online prevention, monitoring, and support programs; and (6) life skills training programs. Research evidence supports that the provision of high-quality mental health services to at-risk populations and some school-based prevention programs (awareness and screening, and gatekeeper training) are effective in suicide prevention. Further research efforts are needed to verify the impact of the other four strategies. Practitioners could make better use of new prevention programs through the internet and instant messaging platforms, which have the potential to alter attitude toward suicide and self-harm as well as promoting help seeking behavior among young people.

An evaluation of the TEACCH approach for teaching functional skills to adults with autism spectrum disorders and intellectual disabilities.

BACKGROUND: The Treatment & Education of Autistic and Communication Related Handicapped Children (TEACCH) approach has been widely adopted around the world, but most previous studies focus on applying it to teaching children with autism spectrum disorders (ASD) who have high functioning or without intellectual disabilities. AIMS: This study evaluated the application and effectiveness of a TEACCH approach in teaching functional skills to young adults with ASD who have mild to moderate intellectual disabilities. METHODS AND PROCEDURES: The study employed an experimental design which compared the training goal attainment of an experimental (n = 32) and a comparison (n = 31) group. We administered the TEACCH Transitional Assessment Profile (TTAP) to identify suitable areas of training and devised three individualized training goals for each participant using the goal attainment scaling (GAS) methodology. The experimental group participated in a standardized, individualized, 20-session training program based on the TEACCH approach, on top of their regular training in day activity centers. RESULTS: All the participants showed improvements in functional skills over the baseline, mid-program, and post-program assessments (F = 146.66, p < .001). The experimental group had significantly larger improvement in the GAS scores than the comparison group (F = 15.40, p < .001). There were no significant changes between the pre- and post-program TTAP scores of both groups. CONCLUSIONS AND IMPLICATIONS: The TEACCH approach is effective in teaching specific functional skills to young adults with ASD and mild to moderate intellectual disabilities. The clinical and research implications of the study are discussed.