The curvilinear relationship of early-life adversity and successful aging: the mediating role of mental health

Objectives: The steeling effect suggests that early-life adversity can have a beneficial impact later in life. However, little is known about its underlying mechanisms and long-term outcomes . The study aimed to examine the role of early-life adversity (ELA) on successful aging, and whether this relationship can be explained by mental and physical health.

Method: Socio-demographics, early-life adversity (ELA), individual quality of life (iQoL), and mental and physical health of 270 individuals (M_age = 66.82 years, 71.5% female) were assessed. Polynomial regressions and mediation analyses were conducted.

Results: Significant inverse U-shaped associations were found between ELA and iQoL (β = ?.59, p = .005) and between ELA and mental health (β = ?.64, p = .002), but not between ELA and physical health. Furthermore, mental health significantly mediated the relationship between ELA and iQoL (b = ?.84, BCa CI [?1.66, ?.27]).

Conclusion: Highest level of individual quality of life (i.e. successful aging) was related to a moderate amount of ELA. Additionally, mental health significantly mediated this relationship. These findings suggest that some amount of ELA could be beneficial for successful aging. Resource-focused interventions are needed to improve health and promote successful aging for an underdetected, at-risk subgroup with low early-life adversity.     

子宫腺肌症对患者的心理影响及心理护理效果观察

目的 分析子宫腺肌症可能对患者造成的心理影响,探讨子宫腺肌症患者的心理护理方法,观察护理效果。方法 将62例子宫腺肌症患者随机分配为常规护理干预组和心理护理干预组,每组31例。对常规护理干预组患者,实施常规护理干预措施。对心理护理干预组患者,在常规护理干预措施的基础上,进一步对其实施针对性的心理护理干预措施。结果 心理护理干预组患者的焦虑自评量表(SAS)评分、抑郁自评量表(SDS)评分,以及睡眠质量自评量表(SRSS)各维度评分,都明显低于常规护理干预组,差异具有统计学意义。心理护理干预组患者的生活质量综合评定量表(GQOLI-74)各维度评分,要显著的高于常规护理干预组,差异同样具有统计学意义。结论 应重视并切实做好对子宫腺肌症患者的心理护理工作,这能够有效缓解患者的焦虑、抑郁情绪,提高患者的心理健康水平,改善患者的水平及生活质量。     

Communication practices in conversations about sexual health in medical healthcare settings: A systematic review

ObjectiveMany healthcare professionals experience difficulties in discussing sexual health with their patients. The aim of this review was to synthesize results of studies on communication practices in interactions about sexual health in medical settings, to offer healthcare professionals suggestions on how to communicate about this topic.MethodsWe searched for studies using five databases. Reference lists and specialist bibliographies were searched to identify additional studies. We included discourse analytic studies that used recordings of medical consultations.ResultsWe identified five studies that met the inclusion criteria. Findings were synthesized into seven categories of practices deployed by patients and healthcare professionals when talking about sexual health: avoiding delicate terms (1), delaying potentially delicate words and issues (2), using assumptive talk (3), generalized advice-giving (4), deploying patients’ talk (5), depersonalization (6), and patient-initiated advice (7).ConclusionPractices indicate the delicacy associated with discussing sexual health issues, but results also shed light on practices that can help professionals to deal with this delicacy, and to be responsive to patients’ needs and concerns.Practice implicationsFindings will assist healthcare professionals in broaching topics related to sexual health so they can help patients deal with challenges that affect their sexual health and overall well-being.     

Quantile regression and empirical likelihood for the analysis of longitudinal data with monotone missing responses due to dropout,with applications to quality of life measurements from clinical trials

The analysis of quality of life (QoL) data can be challenging due to the skewness of responses and the presence of missing data. In this paper, we propose a new weighted quantile regression method for estimating the conditional quantiles of QoL data with responses missing at random. The proposed method makes use of the correlation information within the same subject from an auxiliary mean regression model to enhance the estimation efficiency and takes into account of missing data mechanism. The asymptotic properties of the proposed estimator have been studied and simulations are also conducted to evaluate the performance of the proposed estimator. The proposed method has also been applied to the analysis of the QoL data from a clinical trial on early breast cancer, which motivated this study.     

The influence of environmental and health indicators on premature mortality: An empirical analysis of the City of Toronto's 140 neighborhoods

The objective of this paper was to assess the link between premature mortality and a combination of neighbourhood contextual (environmental and health) and compositional (socioeconomic and demographic) characteristics. We statistically and spatially examined six environmental variables (ultrafine particles, carcinogenic and non-carcinogenic pollutants, pollution released to air, tree cover, and walkability index), six health service indicators (number health providers, breast, colorectal and cervical cancer screening uptake rates, student nutrition program uptake rates, and healthy food index), and eight socioeconomic indicators (total income, Gini coefficient, two age categories – below and above 40 years, proportion of females to males, visible minorities, Indigenous peoples, education, less than grade 9) among 140 neighbourhoods of the City of Toronto in Ontario (Canada). We applied principal component analysis to identify patterns and to reduce the number of explanatory variables into combined component axes that represent unique variation in these confounded and overlapping factors. We then applied regression analysis to model the relationship between the indices of enviro-health and socioeconomics and their potential relationship with premature mortality. Residual spatial analysis was used to investigate any remaining spatial structure (such as neighbourhoods with higher residual premature mortality rates). Neighbourhood Equity Index was correlated with our enviro-health and socioeconomic indices. Premature mortality within neighbourhoods was predicted by poor cancer screenings, pollution, lack of tree canopy, increased uptake of student nutrition programs and high walkability index. A negative association between premature mortality and pollution was associated low walkability index and presence of visible minorities within neighbourhoods. There was some unexplained residual spatial variation in our model of premature mortality - especially along the shores of Lake Ontario and in neighbourhoods with major highways or road corridors: premature mortality in Toronto neighbourhoods was higher than expected along highway-corridor neighbourhoods and shorelines. Our analysis revealed a significant relationship between neighbourhood contextual features – both environmental and health – and premature mortality, suggesting that these contextual components of neighbourhoods can predict rates of urban premature mortality in Toronto.     

Applications of geospatial analyses in health research among homeless people: A systematic scoping review of available evidence

BackgroundUnequal housing access resulted in more than 150 million homeless people worldwide, with millions more expected to be added every year due to the ongoing climate-related crises. Homeless population has a counterproductive effect on the social, psychological integration efforts by the community and exposure to other severe health-related issues. Geographic Information Systems (GIS) have long been applied in urban planning and policy, housing and homelessness, and health-related research.MethodsWe used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to systematically review 24 articles collected from multiple databases (n = 10) that focused on health-related issues among homeless people and used geospatial analysis techniques in their research.ResultsOur findings indicated a geographic clustering of case study locations– 26 out of the 31 case study sites are from the USA and Canada. Studies used spatial analysis techniques to identify hotspots, clusters and patterns of patient location and population distribution. Studies also reported relationships among the location of homeless shelters and substance use, discarded needles, different infectious and non-infectious disease clusters.ConclusionMost studies were restricted in analyzing and visualizing the patterns and disease clusters; however, geospatial analyses techniques are useful and offer diverse techniques for a more sophisticated understanding of the spatial characteristics of the health issues among homeless people. Better integration of GIS in health research among the homeless would help formulate sensible policies to counter health inequities among this vulnerable population group.     

Insufficient knowledge and inapproriate physiotherapy management of Relative Energy Deficiency in Sport (RED-S) in lightweight rowers

ObjectiveTo investigate the knowledge and management of Relative Energy Deficiency in Sport (RED-S), from the perspective of lightweight rowers and physiotherapists.DesignSemi-structured individual qualitative interviews.MethodsPhysiotherapists who had worked with lightweight rowers, and current and former lightweight rowers (who had experienced at least one symptom of RED-S), undertook audio-recorded semi-structured telephone interviews. An inductive thematic analysis was performed, facilitated by NVivo software.ResultsTwelve physiotherapists (n = 6 females, 1–20 years of experience managing lightweight rowers) and twelve lightweight rowers (n = 8 females, 1–8 years lightweight rowing experience, intermediate to elite/international level) were interviewed. Five key themes were identified: insufficient knowledge of RED-S, inadequate RED-S education, inappropriate management of RED-S, referral to other health professionals, prioritising performance over health. Participants provided suggestions for improving knowledge and management of RED-S in lightweight rowers, including formal physiotherapy education and training, and targeted education for athletes and coaches.ConclusionsThere was a significant lack of awareness of RED-S amongst physiotherapists and lightweight rowers. Most physiotherapists were not confident discussing or managing RED-S in athletes, and lightweight rowers were dissatisfied with the management they received. Improving RED-S education for physiotherapists and athletes may have important health implications for lightweight rowers.     

Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic

The coronavirus disease 2019 (COVID-19) has currently caused the mortality of millions of people around the world. Aside from the direct mortality from the COVID-19, the indirect effects of the pandemic have also led to an increase in the mortality rate of other non-COVID patients. Evidence indicates that novel COVID-19 pandemic has caused an inflation in acute cardiovascular mortality, which did not relate to COVID-19 infection. It has in fact increased the risk of death in cardiovascular disease (CVD) patients. For this purpose, it is dramatically inevitable to monitor CVD patients’ vital signs and to detect abnormal events before the occurrence of any critical conditions resulted in death. Internet of things (IoT) and health monitoring sensors have improved the medical care systems by enabling latency-sensitive surveillance and computing of large amounts of patients’ data. The major challenge being faced currently in this problem is its limited scalability and late detection of cardiovascular events in IoT-based computing environments. To this end, this paper proposes a novel framework to early detection of cardiovascular events based on a deep learning architecture in IoT environments. Experimental results showed that the proposed method was able to detect cardiovascular events with better performance (95.30% average sensitivity and 95.94% mean prediction values).