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Renewable and alternative energy
\"With the extreme weather events caused by climate change becoming increasingly common and many natural resources used for energy becoming increasingly rare, scientists, politicians, and corporate leaders alike have made an effort to find renewable forms of energy that will be available indefinitely and have less of a negative environmental impact. However, not all renewable and alternative energy sources are created equal, and some argue that it will never be possible for renewable and alternative energy sources to generate enough power at an affordable price. But many acknowledge the urgency of reevaluating our energy sources and consumption practices. The viewpoints in this volume will consider the issue of renewable and alternative energy from a variety of environmental, political, and economic perspectives\"-- Provided by publisher.
Book
Unweighted regression models perform better than weighted regression techniques for respondent-driven sampling data: results from a simulation study
Background
It is unclear whether weighted or unweighted regression is preferred in the analysis of data derived from respondent driven sampling. Our objective was to evaluate the validity of various regression models, with and without weights and with various controls for clustering in the estimation of the risk of group membership from data collected using respondent-driven sampling (RDS).
Methods
Twelve networked populations, with varying levels of homophily and prevalence, based on a known distribution of a continuous predictor were simulated using 1000 RDS samples from each population. Weighted and unweighted binomial and Poisson general linear models, with and without various clustering controls and standard error adjustments were modelled for each sample and evaluated with respect to validity, bias and coverage rate. Population prevalence was also estimated.
Results
In the regression analysis, the unweighted log-link (Poisson) models maintained the nominal type-I error rate across all populations. Bias was substantial and type-I error rates unacceptably high for weighted binomial regression. Coverage rates for the estimation of prevalence were highest using RDS-weighted logistic regression, except at low prevalence (10%) where unweighted models are recommended.
Conclusions
Caution is warranted when undertaking regression analysis of RDS data. Even when reported degree is accurate, low reported degree can unduly influence regression estimates. Unweighted Poisson regression is therefore recommended.
Journal Article
The association of cancer-related fatigue on the social, vocational and healthcare-related dimensions of cancer survivorship
Background
Cancer-related fatigue (CRF) is well documented in cancer survivors, but little is known about the personal and societal impact of CRF. This study aimed to examine the impact of CRF in relation to social and vocational functioning and health care utilization in a large sample of post-treatment cancer survivors.
Methods
We conducted a cross-sectional descriptive study of early stage breast and colorectal cancer survivors (
n
= 454) who were within 5 years from treatment completion. Social difficulties (SDI-21), work status, absenteeism and presenteeism (WHO-HPQ) and healthcare utilization (HSUQ) were compared in those with (CFR +) and without (CRF −) clinically significant fatigue (FACT-F ≤ 34).
Results
A total of 32% met the cut-off criteria for CRF (≤ 34). Participants with CRF + had significantly higher scores on the SDI-21 across all domains and 55% of CRF + vs. 11% in CRF − was above the SDI cut-off (> 10) for significant social difficulties. Participants with CRF + were 2.74 times more likely to be unemployed or on leave (95% CI 1.62, 4.61,
p
< 0.001). In the subgroup of participants who were currently working (
n
= 249), those with CRF + reported working on average 27.4 fewer hours in the previous 4 weeks compared to CRF − (
p
= 0.05), and absolute presenteeism was on average 13% lower in the CRF + group (95% CI 8.0, 18.2,
p
< 0.001). Finally, individuals with CRF + reported significantly more physician (
p
< 0.001), other health care professional (
p
= 0.03) and psychosocial visits (
p
= 0.002) in the past month.
Conclusions and implications for cancer survivors
CRF is associated with substantial disruption in social and work role functioning in the early transitional phase of cancer survivorship. Better management of persistent CRF and funding for the implementation of existing guidelines and recommended evidence-based interventions are urgently needed.
Journal Article
A review of reported network degree and recruitment characteristics in respondent driven sampling implications for applied researchers and methodologists
Respondent driven sampling (RDS) is an important tool for measuring disease prevalence in populations with no sampling frame. We aim to describe key properties of these samples to guide those using this method and to inform methodological research.
In 2019, authors who published respondent driven sampling studies were contacted with a request to share reported degree and network information. Of 59 author groups identified, 15 (25%) agreed to share data, representing 53 distinct study samples containing 36,547 participants across 12 countries and several target populations including migrants, sex workers and men who have sex with men. Distribution of reported network degree was described for each sample and characteristics of recruitment chains, and their relationship to coupons, were reported.
Reported network degree is severely skewed and is best represented by a log normal distribution. For participants connected to more than 15 other people, reported degree is imprecise and frequently rounded to the nearest five or ten. Our results indicate that many samples contain highly connected individuals, who may be connected to at least 1000 other people.
Because very large reported degrees are common; we caution against treating these reports as outliers. The imprecise and skewed distribution of the reported degree should be incorporated into future RDS methodological studies to better capture real-world performance. Previous results indicating poor performance of regression estimators using RDS weights may be widely generalizable. Fewer recruitment coupons may be associated with longer recruitment chains.
Journal Article
A systematic review and meta-analysis of the diagnostic accuracy after preimplantation genetic testing for aneuploidy
Aneuploidy accounts for many pregnancy failures and congenital anomalies. Preimplantation genetic testing for aneuploidy (PGT-A) is a screening test applied to embryos created from in vitro fertilization to diminish the chance of an aneuploid conception. The rate of misdiagnosis for both false aneuploidy (false positive) and false euploidy (false negative) test results is unknown. The objective of this study was to determine the rate of misclassification of both aneuploidy and euploidy after PGT-A.
We conducted a systematic review and meta-analysis. We searched Medline, Embase, Cochrane Central, CINAHL and WHO Clinical Trials Registry from inception until April 10, 2024. The protocol was registered in International Prospective Register of Systematic Reviews (PROSPERO CRD 42020219074).
We included studies that conducted either a pre-clinical validation of the genetic platform for PGT-A using a cell line, studies that compared the embryo biopsy results to those from the whole dissected embryo or its inner cell mass (WE/ICM), and studies that compared the biopsy results to prenatal or postnatal genetic testing.
Two independent reviewers extracted true and false positives and negatives comparing biopsy results to the reference standard (known karyotype, WE/ICM, pregnancy outcome). For preclinical studies, the main outcome was the positive and negative predictive values. Misdiagnosis rate was the outcome for pregnancy outcome studies. The electronic search yielded 6674 citations, of which 109 were included. For WE/ICM studies (n=40), PPV was 89.2% (95% CI 83.1-94.0) and NPV was 94.2% (95% CI 91.1-96.7, I2=42%) for aneuploid and euploid embryos, respectively. The PPV for mosaic embryos of either a confirmatory mosaic or aneuploid result was 52.8% (95% CI 37.9-67.5). For pregnancy outcome studies (n=43), the misdiagnosis rate after euploid embryo transfer was 0.2% (95% CI 0.0-0.7%, I2=65%). However, the rate for mosaic transfer, with a confirmatory euploid pregnancy outcome, was 21.7% (95% CI: 9.6-36.9, I2=95%).
The accuracy of an aneuploid result from PGT-A is excellent and can be relied upon as a screening tool for embryos to avoid aneuploid pregnancies. Similarly, the misdiagnosis rate after euploid embryo transfer is less than 1%. However, there is a significant limitation in the accuracy of mosaic embryos.
Journal Article
Uncovering SARS-COV-2 vaccine uptake and COVID-19 impacts among First Nations, Inuit and Métis Peoples living in Toronto and London, Ontario
First Nations, Inuit and Métis Peoples across geographies are at higher risk of SARS-CoV-2 infection and COVID-19 because of high rates of chronic disease, inadequate housing and barriers to accessing health services. Most Indigenous Peoples in Canada live in cities, where SARS-CoV-2 infection is concentrated. To address gaps in SARS-CoV-2 information for these urban populations, we partnered with Indigenous agencies and sought to generate rates of SARS-CoV-2 testing and vaccination, and incidence of infection for First Nations, Inuit and Métis living in 2 Ontario cities.
We drew on existing cohorts of First Nations, Inuit and Métis adults in Toronto (n = 723) and London (n = 364), Ontario, who were recruited using respondent-driven sampling. We linked to ICES SARS-CoV-2 databases and prospectively monitored rates of SARS-CoV-2 testing, diagnosis and vaccination for First Nations, Inuit and Métis, and comparator city and Ontario populations.
We found that SARS-CoV-2 testing rates among First Nations, Inuit and Métis were higher in Toronto (54.7%, 95% confidence interval [CI] 48.1% to 61.3%) and similar in London (44.5%, 95% CI 36.0% to 53.1%) compared with local and provincial rates. We determined that cumulative incidence of SARS-CoV-2 infection was not significantly different among First Nations, Inuit and Métis in Toronto (7364/100 000, 95% CI 2882 to 11 847) or London (7707/100 000, 95% CI 2215 to 13 200) compared with city rates. We found that rates of vaccination among First Nations, Inuit and Métis in Toronto (58.2%, 95% CI 51.4% to 64.9%) and London (61.5%, 95% CI 52.9% to 70.0%) were lower than the rates for the 2 cities and Ontario.
Although Ontario government policies prioritized Indigenous populations for SARS-CoV-2 vaccination, vaccine uptake was lower than in the general population for First Nations, Inuit and Métis Peoples in Toronto and London. Ongoing access to culturally safe testing and vaccinations is urgently required to avoid disproportionate hospital admisson and mortality related to COVID-19 in these communities.
Journal Article
Trajectories of disability and influence of contextual factors among adults aging with HIV: Insights from a community-based longitudinal study in Toronto, Canada
Individuals aging with HIV may experience disability that is multidimensional and evolving over time. Our aims were to characterize the longitudinal trajectories of disability and to investigate how intrinsic and extrinsic contextual factors influence dimensions of disability over an eight-month period among adults aging with HIV.
We analyzed longitudinal observational data from a community-based study in Toronto, Canada, where adults aging with HIV completed self-reported questionnaires over eight months (five time points). We measured disability using the Short-Form HIV Disability Questionnaire (SF-HDQ), which included six dimensions: physical, cognitive, mental-emotional health challenges, uncertainty, difficulties with day-to-day activities, and challenges to social inclusion. Higher SF-HDQ scores (range: 0-100) indicate greater severity of disability. We assessed intrinsic (age, gender, education, living status, number of comorbidities, mastery) and extrinsic (stigma, social support) contextual factors using baseline self-reported questionnaires. Latent class growth analysis was performed to identify distinct disability trajectories within each of the six dimensions. Multinomial logistic regression models were used to assess the influence of contextual factors on the disability trajectories.
Of 108 participants, 89% identified as men with a mean age of 50.6 years (standard deviation ±10.9). We identified three disability trajectories: low, medium, and high disability severity in the physical, mental-emotional, and day-to-day activities dimensions. Four trajectories: low, medium-low, medium-high, and high disability severity were in the cognitive, uncertainty, and social inclusion dimensions. Factors such as higher self-mastery and social support were associated with lower disability trajectories, whereas greater number of comorbidities and stigma were associated with more severe disability trajectories over time.
Disability experiences among adults aging with HIV included three or four distinct trajectories with considerable heterogeneity over time. Information on contextual factors may be helpful for informing interventions and supports that mitigate disability among adults aging with HIV.
Journal Article
Episodic disability framework in the context of Long COVID: Findings from a community-engaged international qualitative study
Increasing numbers of adults are living with the health-related consequences of Long COVID. The Episodic Disability Framework (EDF), derived from perspectives of adults living with HIV, characterizes the multi-dimensional and episodic nature of health-related challenges (disability) experienced by an individual. Our aim was to determine the applicability of the Episodic Disability Framework to conceptualize the health-related challenges experienced among adults living with Long COVID.
We conducted a community-engaged qualitative descriptive study involving online semi-structured interviews. We recruited adults who self-identified as living with Long COVID via collaborator community organizations in Canada, Ireland, United Kingdom, and United States. We purposively recruited for diversity in age, gender identity, ethnicity, sexual orientation, and time since initial COVID-19 infection. We used a semi-structured interview guide informed by the EDF to explore experiences of disability living with Long COVID, specifically health-related challenges and how challenges were experienced over time. We conducted a group-based content analysis.
Of the 40 participants, the median age was 39 years; and the majority were white (73%), women (63%), living with Long COVID for ≥ 1 year (83%). Consistent with the Episodic Disability Framework, disability was described as multi-dimensional and episodic, characterized by unpredictable periods of health and illness. Experiences of disability were consistent with the three main components of the Framework: A) dimensions of disability (physical, cognitive, mental-emotional health challenges, difficulties with day-to-day activities, challenges to social inclusion, uncertainty); B) contextual factors, extrinsic (social support; accessibility of environment and health services; stigma and epistemic injustice) and intrinsic (living strategies; personal attributes) that exacerbate or alleviate dimensions of disability; and C) triggers that initiate episodes of disability.
The Episodic Disability Framework provides a way to conceptualize the multi-dimensional and episodic nature of disability experienced by adults living with Long COVID. The Framework provides guidance for future measurement of disability, and health and rehabilitation approaches to enhance practice, research, and policy in Long COVID.
Journal Article
Discovery of novel glioma serum biomarkers by proximity extension assay
Background
Gliomas are among the most malignant tumors, with a very poor prognosis. Early diagnosis is highly desirable since it can help implement more effective treatments for smaller tumors, which have not yet extensively metastasized. Improving early diagnosis may facilitate access of patients to clinical trials and prepare them for the future availability of new disease-modifying treatments.
Methods
We analyzed retrospective samples collected at diagnosis (before therapy initiation), with PEA (Olink Proteomics), quantifying about 3000 proteins. We utilized 30 plasmas from gliomas (20 glioblastomas, 5 anaplastic astrocytomas, 5 anaplastic oligodendrogliomas) and 20 meningiomas (as controls). We then analyzed the data to identify proteins which either alone, or in combination, could discriminate gliomas from meningiomas, or correlate with clinical and molecular alterations.
Results
We identified 8 plasma proteins which were increased in gliomas vs. meningiomas (GFAP, NEFL, EDDM3B, PROK1, MMP3, CTRL, GP2, SPINT3) and 4 proteins which were decreased in gliomas vs. meningiomas (FABP4, ALDH3A1, IL-12B and OXT). Partition algorithms and logistic regression algorithms with two biomarkers (GFAP and FABP4) achieved sensitivity of 83% and 93% at 100% and 90% specificity, respectively. The strongest single marker was GFAP with an area under the ROC curve (AUC) of 0.86. The AUC for the GFAP-FABP4 combination was 0.98.
Conclusion
PEA is a powerful new proteomic technology for biomarker discovery. GFAP and a handful of other plasma biomarkers may be useful for early glioma detection and probably, prognosis.
Statement
Detecting gliomas as early as possible is highly desirable since it can significantly improve the chances of effective treatments. Reliable glioma biomarkers can timely inform glioma patients about the efficacy of their prescribed treatment. Our results reveal some novel putative glioma markers that may prove valuable, when used alone or in combination, towards improved clinical care of gliomas. In order to better appreciate the potential usefulness of these markers, their performance needs to be further validated in a larger cohort of samples.
Journal Article
Evaluation of the psychometric properties of the Episodic Disability Questionnaire (EDQ) among women living with HIV in the United Kingdom: A self-reported repeated measure study
Disability is increasingly experienced by women ageing with HIV and multimorbidity. The Episodic Disability Questionnaire (EDQ) measures the presence, severity, and episodic nature of disability across six domains. We evaluated EDQ properties among women living with HIV in the United Kingdom.
Participants in the Positive Transitions Through the Menopause (PRIME) study completed the EDQ at two timepoints (1 week apart), criterion measures (WHODAS 2.0, EQ-5D-5L, Work and Social Adjustment Scale), and a demographic questionnaire. We evaluated internal consistency, test-retest reliability, measurement precision (Minimum Detectable Change (MDC) 95%), and construct validity. We assessed disability prevalence using WHODAS 2.0 (moderate threshold) and Equality Act Disability Definition (severe threshold).
Of 104 participants (median age 56 years, 65% Black ethnicity), 93 (89%) completed the EDQ twice. Median duration since HIV diagnosis was 23 years; 98% had undetectable viral loads and 86% reported multimorbidity. Cronbach's alpha ranged from 0.83 (social domain) to 0.92 (daily activities domain). ICC ranged from 0.70 (physical domain) to 0.91 (daily activities domain). Precision varied, highest in daily activities (MDC95%: 6.10) and lowest in mental-emotional domains (MDC95%: 11.52). The EDQ met 80% (n = 47/59) of construct validity hypotheses. Disability prevalence was 79.81% (95%CI 70.57, 86.79) moderate and 41.75% (32.24, 51.88) severe.
The EDQ possesses internal consistency, test-retest reliability, and construct validity with varied precision among women living with HIV. Disability prevalence in this sample was higher than in the general population. The EDQ offers value for research, clinical practice, and national policy by enabling measurement and description of disability, supporting intervention evaluation, and informing priority-setting and healthcare service planning for women living with HIV in the UK.
Journal Article