Confirmation of the Chinese version of the Problematic Internet Use Questionnaire Short Form (PIUQ-SF)

Although an increasing number of studies have focused on problematic Internet use, numerous measures exist with only modest investigation into their reliability and validity, both within and across different cultures (Király et al. 2015). The most frequently used questionnaire is the Internet Addiction Test (Young 1998). However, its factor structure appears to be unstable (e.g., Fernandez-Villa et al. 2015; Pontesetal. 2014). Koronczai et al. (2011) suggested that a suitable measure should fit six basic requirements. More specifically, it should be (i) comprehensive, that is examining more, possibly all, aspects of problematic Internet use; (ii) as concise as possible, in order to be able to assess the more impulsive population, and to use in time-limited surveys (or having different forms with different length). Such a measure should be (iii) reliable and valid for different methods of data collection (e.g. online, paper-and-pencil self-rating, face-to-face); as well as (iv) for different age groups (e.g. adolescents and adults), and (v) in different cultural settings. Finally, (vi) cut-off scores should be defined on the basis of clinical examination. The Problematic Internet Use Questionnaire (PIUQ) (Demetrovics et al. 2008) fulfills several of the aforementioned criteria. The 18-item PIUQ is a comprehensive measure that assesses three basic aspects of problematic Internet use (i.e., obsession, neglect, and control disorder). The 18-item and the shorter 9-item versions of the PIUQ have a reliable structure, and are suitable for time-limited surveys and have proved to be valid across various methods of data collection (i.e., online as well as paper-pencil) and age groups (Demetrovics et al. 2008; Koronczai et al. 2011). However, its implementation has so far mostly taken place in Western individualistic cultures (Kelley and Gruber 2010, 2013; Koronczai et al. 2011; Zahodne et al. 2011. To date, the PIUQ has also been applied in a survey in Iran with good Cronbach’s alpha coefficients and subscales (Mazhari 2012a, 2012b). Consequently, validation of the questionnaire in a culture that is significantly different from the Western culture is needed. Accordingly, the aim of the present study was the validation of the 9-item PIUQ among the Chinese population

The design, evaluation, and reporting on non- pharmacological, cognition- oriented treatments for older adults: Results of a survey of experts

IntroductionCognitive decline and dementia significantly affect independence and quality of life in older adults; therefore, it is critical to identify effective cognition- oriented treatments (COTs; eg, cognitive training, rehabilitation) that can help maintain or enhance cognitive functioning in older adults, as well as reduce dementia risk or alleviate symptoms associated with pathological processes.MethodsThe Cognitive Intervention Design Evaluation and Reporting (CIDER), a working group from the Non- Pharmacological Interventions Professional Interest Area (NPI- PIA) of the Alzheimer’s Association conducted as survey in 2017 with experts in COTs worldwide. The survey’s aims were three- fold: (1) determine the common attitudes, beliefs, and practices of experts involved in the COTs research targeting older people; (2) identify areas of relative agreement and disagreement among experts in the field; and (3) offer a critical review of the literature, including recommendations for future research.ResultsThe survey identified several areas of agreements among experts on critical features of COTs, and on study design and outcome measures. Nevertheless, there were some areas with relative disagreement. Critically, expert opinions were not always supported by scientific evidence, suggesting that methodologic improvements are needed regarding design, implementation, and reporting of COTs. There was a clear consensus that COTs provide benefits and should be offered to cognitively unimpaired older adults, mild cognitive impairment (MCI), and mild dementia, but opinions differed for moderate and severe dementia. In addition, there is no consensus on the potential role of COTs in dementia prevention, indicating that future research should prioritize this aspect.DiscussionEvidence of COTs in older adults is encouraging, but additional evidence is needed to enhance dementia prevention. Consensus building and guidelines in the field are critical to improve and accelerate the development of high- quality evidence for COTs in cognitively unimpaired older adults, and those with MCI and dementia.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/155935/1/trc212024_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/155935/2/trc212024.pd

Mood is a key determinant of cognitive performance in community-dwelling older adults: a cross-sectional analysis

First Online: 06 October 2012Identification of predictors of cognitive trajectories through the establishment of composite or single-parameter dimensional categories of cognition and mood may facilitate development of strategies to improve quality of life in the elderly. Participants (n = 487, aged 50+ years) were representative of the Portuguese population in terms of age, gender, and educational status. Cognitive and mood profiles were established using a battery of neurocognitive and psychological tests. Data were subjected to principal component analysis to identify core dimensions of cognition and mood, encompassing multiple test variables. Dimensions were correlated with age and with respect to gender, education, and occupational status. Cluster analysis was applied to isolate distinct patterns of cognitive performance and binary logistic regression models to explore interrelationships between aging, cognition, mood, and socio-demographic characteristics. Four main dimensions were identified: memory, executive function, global cognitive status, and mood. Based on these, strong and weak cognitive performers were distinguishable. Cluster analysis revealed further distinction within these two main categories into very good, good, poor, and very poor performers. Mood was the principal factor contributing to the separation between very good and good, as well as poor and very poor, performers. Clustering was also influenced by gender and education, albeit to a lesser extent; notably, however, female gender × lower educational background predicted significantly poorer cognitive performance with increasing age. Mood has a significant impact on the rate of cognitive decline in the elderly. Gender and educational level are early determinants of cognitive performance in later life.This work was funded by the European Commission (FP7) “SwitchBox” (Contract HEALTH-F2-2010-259772). NCS is supported by a SwitchBox post-doctoral fellowship. We are thankful to all study participants. The authors would like to acknowledge all colleagues who assisted with participant recruitment and evaluation

Psychometric properties of the Problematic Internet Use Questionnaire Short-Form (PIUQ-SF-6) in a nationally representative sample of adolescents

Despite the large number of measurement tools developed to assess problematic Internet use, numerous studies use measures with only modest investigation into their psychometric properties. The goal of the present study was to validate the short (6-item) version of the Problematic Internet Use Questionnaire (PIUQ) on a nationally representative adolescent sample (n = 5,005; mean age 16.4 years, SD = 0.87) and to determine a statistically established cut-off value. Data were collected within the framework of the European School Survey Project on Alcohol and Other Drugs project. Results showed an acceptable fit of the original three-factor structure to the data. In addition, a MIMIC model was carried out to justify the need for three distinct factors. The sample was divided into users at-risk of problematic Internet use and those with no-risk using a latent profile analysis. Two latent classes were obtained with 14.4% of adolescents belonging to the at-risk group. Concurrent and convergent validity were tested by comparing the two groups across a number of variables (i.e., time spent online, academic achievement, self-esteem, depressive symptoms, and preferred online activities). Using the at-risk latent profile analysis class as the gold standard, a cut-off value of 15 (out of 30) was suggested based on sensitivity and specificity analyses. In conclusion, the brief version of the (6-item) PIUQ also appears to be an appropriate measure to differentiate between Internet users at risk of developing problematic Internet use and those not at risk. Furthermore, due to its brevity, the shortened PIUQ is advantageous to utilize within large-scale surveys assessing many different behaviors and/or constructs by reducing the overall number of survey questions, and as a consequence, likely increasing completion rates

The pedunculopontine nucleus is related to visual hallucinations in Parkinson’s disease: preliminary results of a voxel-based morphometry study

Visual hallucinations (VH) are common in Parkinson’s disease (PD) and lead to a poor quality of life. For a long time, dopaminergic therapy was considered to be the most important risk factor for the development of VH in PD. Recently, the cholinergic system, including the pedunculopontine nucleus (PPN), has been implicated in the pathophysiology of VH. The aim of the present study was to investigate grey matter density of the PPN region and one of its projection areas, the thalamus. Thirteen non-demented PD patients with VH were compared to 16 non-demented PD patients without VH, 13 demented PD patients (PDD) with VH and 11 patients with dementia with Lewy bodies (DLB). Isotropic 3-D T1-weighted MRI images (3T) were analysed using voxel-based morphometry (VBM) with the PPN region and thalamus as ROIs. PD and PDD patients with VH showed grey matter reductions of the PPN region and the thalamus compared to PD patients without VH. VH in PD(D) patients are associated with atrophy of the PPN region and its thalamic target area, suggesting that a cholinergic deficit may be involved in the development of VH in PD(D)

Trajectories of dementia-related cognitive decline in a large mental health records derived patient cohort

Background: Modeling trajectories of decline can help describe the variability in progression of cognitive impairment in dementia. Better characterisation of these trajectories has significant implications for understanding disease progression, trial design and care planning. Methods: Patients with at least three Mini-mental State Examination (MMSE) scores recorded in the South London and Maudsley NHS Foundation Trust Electronic Health Records, UK were selected (N = 3441) to form a retrospective cohort. Trajectories of cognitive decline were identified through latent class growth analysis of longitudinal MMSE scores. Demographics, Health of Nation Outcome Scales and medications were compared across trajectories identified. Results: Four of the six trajectories showed increased rate of decline with lower baseline MMSE. Two trajectories had similar initial MMSE scores but different rates of decline. In the faster declining trajectory of the two, a higher incidence of both behavioral problems and sertraline prescription were present. Conclusions: We find suggestive evidence for association of behavioral problems and sertraline prescription with rate of decline. Further work is needed to determine whether trajectories replicate in other datasets