Determining the association of perceived health status among united states older adults with self-reported pain

Insight into sleep quality and its relationship with emotional intelligence: results of a cross-sectional study among Italian university students

Background

This study aimed to investigate sleep habits and examine the relationship between sleep quality and its potential predictors, namely Emotional Intelligence (EI) and perceived health status.

Methods

The present cross-sectional study was conducted between February 13 and February 28, 2023, at the "Magna Græcia" University of Catanzaro, in the Southern part of Italy. The study involved undergraduate students who were 18 years or older, proficient in the Italian language, and with no restrictions on the major attended. They completed a self-administered survey on socio-demographic information, health status, sleep quality (Pittsburgh Sleep Quality Index-PSQI), EI, and perceived health status.

Results

The majority of the sample (59.6%) was enrolled in medical or life science majors. The results showed a high prevalence of poor sleep quality and sleep latency was identified as the most affected aspect of it. The female gender and the self-perceived health status were the strongest predictors of poor sleep quality. Poor sleepers showed lower emotional clarity, emotional repair, and total EI scores. Moreover, as age increased, the odds of being classified as a poor sleeper increased by 7%.

Conclusion

The survey highlights that poor sleep health is still a significant issue and empowering individuals to make proactive decisions to adopt healthy lifestyles in the early phase of life is of paramount importance. The study exhibited the interesting role of EI in influencing sleep quality, highlighting that when emotional events are insufficiently regulated, it may result in sleep disturbances. Therefore, the promotion of sleep quality requires an integrated yet innovative approach including emotion regulation.

Perceived Well-Being among Adults with Diabetes and Hypertension: A National Study

Perceived health and distresses are associated with the practice of lifestyle modifications, which increases the risk of diabetes and hypertension-related complications. This study aimed to define the characteristics and distribution of perceived health and distresses across the states between people with diabetes and hypertension. Data were derived from a national survey of US adults aged ≥18 years who were interviewed via phone call. Perceived health and distresses were assessed through corresponding questions. An amount of 333,316 respondents (43,911 with diabetes and 130,960 with hypertension) were included in the analysis; 61.8% of people with diabetes and 74.5% of people with hypertension reported having good or better health, while residents in the Southwest region perceived poor health statuses and more distresses. Education level (diabetes: odds ratio [OR] = 0.47-0.79, hypertension: OR = 0.42-0.76), employment status level (diabetes: OR = 1.40-2.22, hypertension: OR = 1.56-2.49), and household income (diabetes: OR = 0.22-0.65, hypertension: OR = 0.15-0.78) were significant factors associated with poorly perceived health among people with diabetes and hypertension, and the use of technology and strategies for policymakers are suggested to improve the perceived health status in this regard.

A comprehensive analysis concerning eating behavior associated with chronic diseases among Romanian community nurses

Introduction

Lifestyle factors, including inadequate eating patterns, emerge as a critical determinant of chronic disease. Apart from caring for patients, nurses should also take an active role in monitoring and managing their own health. Understanding the intricate relationship between nurses' eating behavior and managing their own health is crucial for fostering a holistic approach to healthcare, therefore our study aimed to evaluate eating behavior and demographic factors influencing chronic disease prevalence in a sample of community nurses from Romania.

Methods

Between October-November 2023, 1920 community nurses were invited to answer an online survey, using an advertisement in their professional network. Of them, 788 responded. In the survey, which included a semi-quantitative food frequency questionnaire with 53 food items, the Intuitive Eating Survey 2 (IES-2), and demographic items were used.

Results

A multivariate model was built for the prediction of the association between eating behavior and other factors associated with chronic diseases. The majority of participants were females (95.1%), with the largest age group falling between 40 and 49.9 years (48.2%). Regarding the EFSA criteria for adequate carbohydrate and fat intake, 20.2% of the group have a high intake of carbohydrates, respectively, 43.4% of the group have a high intake of fat. Analysis of chronic diseases indicated that 24.9% of individuals reported at least one diagnosis by a physician. The presence of chronic disease was associated with a low level of perceived health status, with an OR = 3.388, 95%CI (1.684-6.814), compared to those reporting excellent or very good perceived health status. High stress had an OR = 1.483, 95%CI (1.033-2.129). BMI had an OR = 1.069, 95%CI (1.032-1.108), while low carbohydrate diet score had an OR = 0.956, 95%CI (0.920-0.992). Gender and IES-2 did not significantly contribute to the model, but their effect was controlled.

Discussion

By unraveling the intricate interplay between nutrition, lifestyle, and health outcomes in this healthcare cohort, our findings contribute valuable insights for the development of targeted interventions and support programs tailored to enhance the well-being of community nurses and, by extension, the patients they support.

Perceived Health Status and Medical Conditions Among US Active-Duty Service Members

Purpose

This paper investigates the association between self-reported perceived health status and doctor-informed medical conditions among US active duty service members (ADSM).

Methods

Data are from the 2018 Health-Related Behaviors Survey - a cross-sectional survey weighted to represent the US military (N = 17166). Perceived good health status was defined as having a response choice of "good", "very good", or "excellent" to the question: Would you say your overall physical health is ___? Medical conditions were based on self-reported presence of nine clinical conditions. Analysis included weighted prevalence and log-binomial regression models to explore relationships between ADSM characteristics with perceived good health status as well as concordance between perceived status and medical conditions.

Results

ADSM rated their health to be excellent (14.6%), very good (37.7%), good (36.2%), fair (9.7%) and poor (1.7%). About 88.5% perceived a good (to excellent) health status. Perceived good health status was negatively associated with the number of medical conditions present (adjusted odds ratio (aOR): ranging from 0.78 to 0.92) as well as several health behaviors (aOR): ranging from 0.86 to 0.98) and other sociodemographic factors. Among all ADSMs, 51% perceived good health in the absence of medical conditions, while 8% perceived poor health status in the presence of medical conditions. Concordance between perceived health status and medical conditions was significantly lower among ADSM who were older (aOR: 0.61; 95% CI: 0.54-0.69), with dependent children (aOR: 0.89; 95% CI: 0.84-0.95), or had been deployed (aOR: 0.89, 95% CI: 0.84-0.95).

Conclusion

The prevalence of perceived good health status among ADSMs was consistent with those documented in the general US population. The interrelationships between ADSM's perceptions, medical conditions and sociodemographic characteristics may have implications for their health literacy and utilization of health services. Study findings suggest that interventions promoting healthy behaviors, health literacy and treatment-seeking may influence perceived health status and mitigate medical conditions among ADSM, thus improving the US Military readiness, resilience and mission success.

"Health Outcomes of Grandparents Caring for Double Orphans in South Africa": What Are the Determinants?

In the 21st century, grandparenthood is a significant phenomenon in the fields of demography, gerontology, and sociology. It is mainly explored in the context of ageing, as it is poised to become one of the most significant demographic phenomena and social issues in contemporary South Africa. Therefore, this study examined the determinants associated with grandparents who are parenting as caregivers and the health challenges they are exposed to as caregivers. The National Income Dynamics Study (NIDS) Wave 5 dataset was utilised, and a total of 302,476 grandparents aged 25 years and older, who were reported to be primary caregivers of double orphans, were included in the analysis. Both bivariate and multivariate binary logistic regressions were performed to determine the predictors of the determinants of grandparents parenting as caregivers and their health challenges in South Africa. Estimated odds ratios (ORs) with 95% confidence intervals (CIs) were used, and the threshold for statistical significance was established at ρ < 0.05. A majority of the male and female grandparent caregivers were aged 24-34 years, were Black Africans (69.8%), had secondary education (46.9%), reported health challenges (HC) (59.7%), with 26.4% reporting headaches in the last 30 days. Logistic regression revealed that grandparent caregivers aged 55-64 years were 8.9 times more likely to report health challenges compared to those aged 25-34 years. Non-Black African grandparent caregivers were found to be 0.61 times less likely to report health challenges, compared to Black African grandparent caregivers. Those with perceived poor health status were 3.3 times more likely to report health challenges, compared to those with excellent perceived health status. Therefore, there is an urgent need to redesign health interventions to address these health burdens among grandparent caregivers and to take cognisance of providing economic and social support for these vulnerable populations.

Investigating the Association of Pain Intensity and Health Status among Older US Adults with Pain Who Used Opioids in 2020 Using the Medical Expenditure Panel Survey

The number of older United States (US) adults is increasing, yet extra life years are not always spent in good health. This study explored the relationship between pain intensity and health status among US adults aged ≥50 with pain who used an opioid in the 2020 Medical Expenditure Panel Survey using multivariable logistic regression adjusting for demographic, economic, and health variables. Most (60.2%) older US adult opioid users with pain reported having good health (versus 39.8% poor health). In the fully adjusted analysis, those with extreme pain (odds ratio (OR) = 0.19, 95% confidence interval (CI) = 0.10, 0.35) and quite a bit of pain (OR = 0.34, 95% CI = 0.19, 0.60) had lower odds of reporting good health compared to those with little pain. There was no statistical relationship between health status for moderate versus little pain. In addition, males (versus females; OR = 0.61, 95% CI = 0.40, 0.91), white race (versus not white; OR = 0.43, 95% CI = 0.22, 0.84), education ≤high school (versus >high school; OR = 0.61, 95% CI = 0.41, 0.92), and current smoker (versus non-smoker; OR = 0.55, 95% CI = 0.32, 0.93) were associated with lower odds of reporting good health. Being employed (versus unemployed; OR = 1.88, 95% CI = 1.06, 3.33), having <2 chronic conditions (versus ≥2; OR = 4.38, 95% CI = 1.91, 10.02), and doing regular physical activity (versus not; OR = 2.69, 95% CI = 1.73, 4.19) were associated with higher odds of reporting good health. These variables should be considered when assessing the health needs and developing treatment plans for older US adult opioid users with pain.

Design of Sports Rehabilitation Training System Based on EEMD Algorithm

Motor function rehabilitation training is to restore the motor function of hand injury to the maximum extent and meet the needs of patients' daily behavior. At present, motor function evaluation and rehabilitation training work have disadvantages such as relying on the subjective experience of physicians, unable to quantitatively assess the loss of motor function, and single rehabilitation training method. Most of these methods only focus on the independent motion range of a single organ, lack of consideration of the constraint relationship between adjacent fingers, and do not build a visual model for it. To end this issue, for the purpose of sports rehabilitation, combined with the status and application of rehabilitation machines, this paper proposed a cycling rehabilitation training system based on physiological signal extraction of ensemble empirical mode decomposition (EEMD) algorithm. Results compared with the previous rehabilitation training, the muscle tension level of patients' upper limbs decreased, and the strength of some muscles also increased. With the progress of rehabilitation training, the contralateral dominance coefficient showed an upward trend, which further confirmed the role of the proposed method in sports rehabilitation, and also provided a new idea for the evaluation of rehabilitation training effect of patients in the future.