Activity

Background The long-term consequences of stroke affect both the carepartner (CP) and stroke survivor (SS). Understanding the effects of informal caregiving that may influence the ability of the family to carry over therapeutic activities in the home environment is critical for family-centered care.Objective This study examined the relationship of CP and SS factors associated with CP depressive symptoms to gain insights into CP needs that may occur after formal rehabilitation therapy has ended for SS with upper extremity deficits.Methods This correlational study used baseline data of 32 dyads of family CP and SS with upper extremity impairment who had completed rehabilitation therapy and were enrolled in a pilot study of a web-based CP-integrated rehabilitation program. Data using standard questionnaires for CP factors and SS memory and behavior problems and an objective assessment of SS upper extremity function were obtained. Data analysis included descriptive statistics and Pearson product moment correlations.Results CPs were female (62.5%), White (61.29%), and spouses (68.75%). CPs reported mild-moderate depressive symptoms (M = 9.5 ± 8.3), and a majority had some degree of family conflict. Higher CP depressive symptoms were related to worse life changes (r = -0.41, p =.02), greater fatigue (r = 0.50, p =.004), less effective family functioning (r = 0.46, p =.01), less autonomy support to SS (r = -0.42, p =.02), and more SS memory and behavior problems (r = 0.45, p =.01). Only CP fatigue was related to SS upper extremity function.Conclusions Negative impacts of caregiving were found in this group of relatively high physically functioning SS which may hinder CP from providing optimal support for SS. Addressing CP needs including education regarding depression, fatigue, SS memory, and behavior problems, and family functioning while SS is receiving rehabilitation therapy may be important considerations to help facilitate the CP to support the SS in carrying over therapeutic activities in the home environment.Background. Low-and-middle-income countries (LMICs) have higher mortality-to-incidence ratio for breast cancer compared to high-income countries (HICs) because of late-stage diagnosis. Mammography screening is recommended for early diagnosis, however, the infrastructure capacity in LMICs are far below that needed for adopting current screening guidelines. Current guidelines are extrapolations from HICs, as limited data had restricted model development specific to LMICs, and thus, economic analysis of screening schedules specific to infrastructure capacities are unavailable. Methods. We applied a new Markov process method for developing cancer progression models and a Markov decision process model to identify optimal screening schedules under a varying number of lifetime screenings per person, a proxy for infrastructure capacity. We modeled Peru, a middle-income country, as a case study and the United States, an HIC, for validation. Results. Implementing 2, 5, 10, and 15 lifetime screens would require about 55, 135, 280, and 405 mammography machines, respectively, and would save 31, 62, 95, and 112 life-years per 1000 women, respectively. Current guidelines recommend 15 lifetime screens, but Peru has only 55 mammography machines nationally. With this capacity, the best strategy is 2 lifetime screenings at age 50 and 56 years. As infrastructure is scaled up to accommodate 5 and 10 lifetime screens, screening between the ages of 44-61 and 41-64 years, respectively, would have the best impact. Our results for the United States are consistent with other models and current guidelines. Limitations. The scope of our model is limited to analysis of national-level guidelines. We did not model heterogeneity across the country. Conclusions. Country-specific optimal screening schedules under varying infrastructure capacities can systematically guide development of cancer control programs and planning of health investments.Background To analyze long-term outcomes and possible influencing factors in patients with endstage renal disease (ESRD) and critical limb ischemia (CLI) after major amputation compared to patients with normal renal function and non-dialysis-dependent chronic kidney disease. Patients and methods Abstraction of single-center medical records of patients undergoing above knee (AKA) and below knee (BKA) amputation over a 10 years period (n = 436; 2009-2018). Excluded were amputations due to trauma or tumor. Patients were subdivided according to renal function in three categories ESRD patients (n = 98), non-dialysis dependent chronic kidney disease (CKD, n = 98) and normal renal function (NF, n = 240). Predefined endpoints were survival and postoperative complications. Cox-regression models were built to analyze independent risk factors for outcome parameters. Results In total, 298 AKA, 133 BKA and 5 knee joint exarticulations were performed. ESRD patients showed inferior in-hospital results as to death (ESRD 36.7mary amputation in ERSD seems scarce.Objective The aim of the present study was to determine the relationship between temperature and air pollution, and preterm birth in Tehran, Iran.Methods In this time series study, the daily data of preterm births, air pollution, and maximum, minimum and mean temperature from March 2015 to March 2018 were used. To evaluate the effect of air pollution and temperature with and without adjustment of their mutual effects on preterm birth in lags (days) 0-21, the Distributed Lag Non-linear Models (DLNM) was used. Selleck CPI-1205 The relative risk (RR) was estimated for extreme, moderate and mild heat (99th, 95th, 75th percentile) and cold (1st, 5th, 25th percentile) compared with the median, and for each 10-unit increase in PM2.5, NO2, and O3, 5-unit increase in SO2, and 1-unit increase in CO.Results The highest RR was seen in extreme (26.9 °C) and moderate (24.8 °C) heat of minimum temperature on lag 0 (RR = 1.17; 1.05-1.31, Adjusted RR = 1.16; 1.04-1.29, RR = 1.15; 1.05-1.26, Adjusted RR = 1.14; 1.03-1.25, respectively). In regard of cold, the only significant effect was for maximum temperature on lags 7-9 (RR = 1.02; 1.00-1.04). Each 10-unit increase in PM2.5 in Lag 0 (RR = 1.008; 1.001-1.014) and lag 1 (RR = 1.004; 1.001-1.007) and in NO2 in lag 0 (RR = 1.006; 1.000-1.012) had significant effects.Conclusion Maternal exposure to a minimum daily temperature of 26.9 and 24.8 °C compared to 13.2 °C increased the risk of preterm birth by 17 and 15% on the same day, respectively. This risk increased by 0.8 and 0.6%, on the same day for each 10-unit increase in PM2.5 and NO2, respectively.