Self-Report Stress Measures to Assess Stress in Adults With Mild Intellectual Disabilities-A Scoping Review

Methodological quality of 100 recent systematic reviews of health-related outcome measurement instruments: an overview of reviews

PURPOSE

Systematic reviews evaluating and comparing the measurement properties of outcome measurement instruments (OMIs) play an important role in OMI selection. Earlier overviews of review quality (2007, 2014) evidenced substantial concerns with regards to alignment to scientific standards. This overview aimed to investigate whether the quality of recent systematic reviews of OMIs lives up to the current scientific standards.

METHODS

One hundred systematic reviews of OMIs published from June 1, 2021 onwards were randomly selected through a systematic literature search performed on March 17, 2022 in MEDLINE and EMBASE. The quality of systematic reviews was appraised by two independent reviewers. An updated data extraction form was informed by the earlier studies, and results were compared to these earlier studies' findings.

RESULTS

A quarter of the reviews had an unclear research question or aim, and in 22% of the reviews the search strategy did not match the aim. Half of the reviews had an incomprehensive search strategy, because relevant search terms were not included. In 63% of the reviews (compared to 41% in 2014 and 30% in 2007) a risk of bias assessment was conducted. In 73% of the reviews (some) measurement properties were evaluated (58% in 2014 and 55% in 2007). In 60% of the reviews the data were (partly) synthesized (42% in 2014 and 7% in 2007); evaluation of measurement properties and data syntheses was not conducted separately for subscales in the majority. Certainty assessments of the quality of the total body of evidence were conducted in only 33% of reviews (not assessed in 2014 and 2007). The majority (58%) did not make any recommendations on which OMI (not) to use.

CONCLUSION

Despite clear improvements in risk of bias assessments, measurement property evaluation and data synthesis, specifying the research question, conducting the search strategy and performing a certainty assessment remain poor. To ensure that systematic reviews of OMIs meet current scientific standards, more consistent conduct and reporting of systematic reviews of OMIs is needed.

The use of proxy measurement of internal states in people with intellectual disability: A scoping review

BACKGROUND

The measurement of internal states of people with an intellectual disability is challenging. Given these difficulties, proxy respondents are sometimes used. However, the literature provides some caution about the validity of the use of proxy respondents.

AIMS

This review aims to identify the available evidence regarding the use of proxy respondents in the measurement of internal states of people with intellectual disabilities.

METHOD

The Arksey and O'Malley scoping review framework was used for this review, refined with the Joanna Briggs Institute Methodology.

RESULTS

Results indicate there are some differences in the findings reported with respect to the efficacy of the use of proxy respondents. These may be due to a number of inconsistencies and weaknesses in examinations of their utility.

CONCLUSIONS

If proxy-reports are to be useful in understanding the internal states of people with intellectual disability, researchers need to address the shortcomings revealed by this review.

Smartwatches in healthcare medicine: assistance and monitoring; a scoping review

Smartwatches have become increasingly popular in recent times because of their capacity to track different health indicators, including heart rate, patterns of sleep, and physical movements. This scoping review aims to explore the utilisation of smartwatches within the healthcare sector. According to Arksey and O'Malley's methodology, an organised search was performed in PubMed/Medline, Scopus, Embase, Web of Science, ERIC and Google Scholar. In our search strategy, 761 articles were returned. The exclusion/inclusion criteria were applied. Finally, 35 articles were selected for extracting data. These included six studies on stress monitoring, six on movement disorders, three on sleep tracking, three on blood pressure, two on heart disease, six on covid pandemic, three on safety and six on validation. The use of smartwatches has been found to be effective in diagnosing the symptoms of various diseases. In particular, smartwatches have shown promise in detecting heart diseases, movement disorders, and even early signs of COVID-19. Nevertheless, it should be emphasised that there is an ongoing discussion concerning the reliability of smartwatch diagnoses within healthcare systems. Despite the potential advantages offered by utilising smartwatches for disease detection, it is imperative to approach their data interpretation with prudence. The discrepancies in detection between smartwatches and their algorithms have important implications for healthcare use. The accuracy and reliability of the algorithms used are crucial, as well as high accuracy in detecting changes in health status by the smartwatches themselves. This calls for the development of medical watches and the creation of AI-hospital assistants. These assistants will be designed to help with patient monitoring, appointment scheduling, and medication management tasks. They can educate patients and answer common questions, freeing healthcare providers to focus on more complex tasks.

Stress and social isolation, and its relationship to cardiovascular risk in young adults with intellectual disability

PURPOSE

Stress produces many physiological changes, some of which may contribute to the development of cardiovascular disease (CVD). Individuals with intellectual disability (ID) are exposed to multiple and stressful challenges everyday which may put them at increased cardiovascular risk. This current study aimed to establish whether adults with ID experience higher levels of subjective stress and encounter different stressors (including social isolation) than the general population, and whether there is a relationship between stress and cardiometabolic profile in this population.

METHODS

Adults with ID (n = 35) aged 18-45 years completed the Subjective Stress Survey, and underwent a physiological assessment to measure blood pressure, metabolic profile and subclinical CVD risk factors, and were compared to a control group (n = 29). Multiple regression was used to investigate whether cardiometabolic parameters were predicative of SSS scores.

RESULTS

Findings showed adults with ID have higher perceived stress levels (total score ID: 21.3 ± 11.4 vs control: 13.9 ± 9.0, p = 0.006), which is elicited by unique stressors, when compared to people without ID. Stress was strongly associated with increased social isolation (r = -0.38, p = 0.002) and with obesity in females with mild ID (r = 0.72). Regression showed that arterial stiffness was predictive of total SSS score (p = 0.038).

CONCLUSIONS

Adults with ID aged 18-45 years report higher levels of perceived stress when compared to people without ID.Implications for RehabilitationReducing stress in this young population may prevent development of arterial stiffness, and consequently lower the risk of cardiometabolic morbidity and mortality.There are unique targets for stress management in young adults with intellectual disability, including supporting decision-making and improving self-efficacy.Improving community integration and reducing social isolation may decrease perceived stress in young adults with intellectual disability.

Towards a Non-Contact Method for Identifying Stress Using Remote Photoplethysmography in Academic Environments

Stress has become a common condition and is one of the chief causes of university course disenrollment. Most of the studies and tests on academic stress have been conducted in research labs or controlled environments, but these tests can not be extended to a real academic environment due to their complexity. Academic stress presents different associated symptoms, anxiety being one of the most common. This study focuses on anxiety derived from academic activities. This study aims to validate the following hypothesis: by using a non-contact method based on the use of remote photoplethysmography (rPPG), it is possible to identify academic stress levels with an accuracy greater than or equal to that of previous works which used contact methods. rPPG signals from 56 first-year engineering undergraduate students were recorded during an experimental task. The results show that the rPPG signals combined with students' demographic data and psychological scales (the State-Trait Anxiety Inventory) improve the accuracy of different classification methods. Moreover, the results demonstrate that the proposed method provides 96% accuracy by using K-nearest neighbors, J48, and random forest classifiers. The performance metrics show better or equal accuracy compared to other contact methods. In general, this study demonstrates that it is possible to implement a low-cost method for identifying academic stress levels in educational environments.