Retirement Satisfaction for Retirees and their Spouses

2004 ◽  
Vol 25 (2) ◽  
pp. 262-285 ◽  
Author(s):  
Deborah B. Smith ◽  
Phyllis Moen
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Life Course ◽  
Well Being ◽  
Life Course Perspective ◽  
Regression Analyses ◽  
Multivariate Logistic Regression ◽  
Retirement Decision ◽  
Joint Retirement ◽  
Spousal Influence

This study investigates factors related to retirees’ and their spouses’ individual and joint retirement satisfaction using decision-making theory and a life course perspective. The sample includes 421 retired respondents (ages 50 to 72) and spouses from the Cornell Retirement and Well-Being Study. Although 77% of retirees report retirement satisfaction, only 67% of their spouses are satisfied; even fewer couples (59%) report joint satisfaction. Multivariate logistic regression analyses reveal that retirees’ and spouses’ individual and joint reports of retirement satisfaction are related to perceptions of spousal influence on the retirement decision, with effects varying by gender. Those couples most likely to report being satisfied with retirement, individually and jointly, are retired wives and their husbands where wives reported that their husbands were not influential in their retirement decision. The results underscore the importance of regarding retirement as gendered and as both an individual- and a couple-level experience.

DECISION MAKING BY VARIABLE CONTRIBUTION IN DISCRIMINANT, LOGIT, AND REGRESSION ANALYSES

2004 ◽  
Vol 03 (02) ◽  
pp. 265-279 ◽  
Author(s):  
STAN LIPOVETSKY ◽  
MICHAEL CONKLIN
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Statistical Models ◽  
Regression Analyses ◽  
Discriminant Functions ◽  
Multivariate Statistical ◽  
Linear Discriminant ◽  
Variable Contribution ◽  
Linear Aggregate

Comparative contribution of predictors in multivariate statistical models is widely used for decision making on the importance of the variables for the aims of analysis and prediction. However, the analysis can be made difficult because of the predictors' multicollinearity that distorts estimates for coefficients in the linear aggregate. To solve the problem of the robust evaluation of the predictors' contribution, we apply the Shapley Value regression analysis that provides consistent results in the presence of multicollinearity both for regression and discriminant functions. We also show how the linear discriminant function can be constructed as a multiple regression, and how the logistic regression can be approximated by linear regression that helps to obtain the variables contribution in the linear aggregate.

Predictors of thermal increase in magnetic resonance–guided focused ultrasound treatment for essential tremor: histogram analysis of skull density ratio values for 1024 elements

2021 ◽  
pp. 1-6
Author(s):  
Ken Iijima ◽  
Hajime Yokota ◽  
Toshio Yamaguchi ◽  
Masayuki Nakano ◽  
Takahiro Ouchi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Operating Characteristic ◽  
Focused Ultrasound ◽  
Characteristic Curve ◽  
Density Ratio ◽  
Predictive Ability ◽  
Curve Analysis ◽  
Regression Analyses ◽  
Multivariate Logistic Regression ◽  
Operating Characteristic Curve

OBJECTIVE Sufficient thermal increase capable of generating thermocoagulation is indispensable for an effective clinical outcome in patients undergoing magnetic resonance–guided focused ultrasound (MRgFUS). The skull density ratio (SDR) is one of the most dominant predictors of thermal increase prior to treatment. However, users currently rely only on the average SDR value (SDRmean) as a screening criterion, although some patients with low SDRmean values can achieve sufficient thermal increase. The present study aimed to examine the numerical distribution of SDR values across 1024 elements to identify more precise predictors of thermal increase during MRgFUS. METHODS The authors retrospectively analyzed the correlations between the skull parameters and the maximum temperature achieved during unilateral ventral intermediate nucleus thalamotomy with MRgFUS in a cohort of 55 patients. In addition, the numerical distribution of SDR values was quantified across 1024 elements by using the skewness, kurtosis, entropy, and uniformity of the SDR histogram. Next, the authors evaluated the correlation between the aforementioned indices and a peak temperature > 55°C by using univariate and multivariate logistic regression analyses. Receiver operating characteristic curve analysis was performed to compare the predictive ability of the indices. The diagnostic performance of significant factors was also assessed. RESULTS The SDR skewness (SDRskewness) was identified as a significant predictor of thermal increase in the univariate and multivariate logistic regression analyses (p < 0.001, p = 0.013). Moreover, the receiver operating characteristic curve analysis indicated that the SDRskewness exhibited a better predictive ability than the SDRmean, with area under the curve values of 0.847 and 0.784, respectively. CONCLUSIONS The SDRskewness is a more accurate predictor of thermal increase than the conventional SDRmean. The authors suggest setting the SDRskewness cutoff value to 0.68. SDRskewness may allow for the inclusion of treatable patients with essential tremor who would have been screened out based on the SDRmean exclusion criterion.

Middle Cerebral Artery-to-Uterine Artery Pulsatility Index Ratio Independently Predicts Adverse Perinatal Outcome in Pregnancies at Term

2020 ◽  
Author(s):  
Sufen Zhou ◽  
Hongyan Guo ◽  
Heng Liu ◽  
Mingqun Li
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Middle Cerebral Artery ◽  
Perinatal Outcome ◽  
Pulsatility Index ◽  
Uterine Artery ◽  
Regression Analyses ◽  
Multivariate Logistic Regression ◽  
Adverse Perinatal Outcome ◽  
Independent Risk Factors

Abstract Background: This study aimed to investigate potential predictors, including cerebroplacental ratio (CPR), middle cerebral artery (MCA)/uterine artery pulsatility index (PI) ratio, for adverse perinatal outcome in pregnancies at term.Methods: This was an observational, prospective study of recruited pregnancies at term. An adverse perinatal outcome was set as the primary observational endpoint. The receiver operating characteristic (ROC) curve was plotted to investigate the predictive and cut-off values of risk factors for adverse perinatal outcome. Independent risk factors (maternal, neonatal, prenatal ultrasound and Doppler variables) for adverse perinatal outcome were evaluated by the univariate and multivariate logistic regression analyses.Results: A total of 392 pregnancies at term were included and 19.4% of them had suffered adverse perinatal outcome. CPR (OR: 0.42, 95%CI: 0.20-0.93, P=0.032) and MCA/uterine artery PI ratio (OR: 0.25, 95%CI: 0.16-0.42, P=0.032) were two independent risk factors for adverse perinatal outcome by univariate and multivariate logistic regression analyses.Conclusions: MCA/uterine artery PI ratio is a good predictor of adverse perinatal outcome in pregnancies at term.

From 9 to 91: health promotion through the life-course—illuminating the inner child

2020 ◽  
Author(s):  
Margareta Sjöblom ◽  
Lars Jacobsson ◽  
Kerstin Öhrling ◽  
Catrine Kostenius
Keyword(s):  
Health Promotion ◽  
Life Course ◽  
Secondary Analysis ◽  
Well Being ◽  
Life Course Perspective ◽  
World Health ◽  
Main Question ◽  
Childhood Experiences ◽  
Inner Child ◽  
The Life Course

Summary A life-course perspective is according to the World Health Organization about increasing the effectiveness of health promotion interventions at all ages. This targets the needs of human beings throughout their life. Descriptions of the phenomenon of the inner child invite the possibility that it may be of help when promoting health throughout the life-course. The aim was to describe and understand schoolchildren’s, adults and older person’s experiences of childhood in connection to health and well-being in the present and through the life-course, illuminating the inner child. The research strategy used was a secondary analysis of the original transcribed data from three Swedish studies investigating new questions. In total, 53 individuals aged 9–91, 20 school children, 20 adults and 13 older persons were interviewed about childhood experiences. The schoolchildren were invited to create a drawing, and to narrate about it during the interview. The main question in the secondary analysis was ‘How do the participants’ narrations about childhood experiences illuminate the inner child, useful for health promotion through the life-course?’ The findings showed the importance of a secure atmosphere and trusting relationships, indicating that experiences during childhood can help us to adapt and pass along life lessons across generations. There were narratives about play as an activity where they learned to promote a healthy childhood, struggle for independence and learning how to be responsible when growing up. Dimensions of mental, social and existential well-being can be seen as examples of the inner child’s role in health promotion through the life-course.

scholarly journals Urinary neutrophil gelatinase-associated lipocalin values alone and combined with Prognostic Index predict septic AKI, DIC, and shock: a pilot study

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Yuichiro Shimoyama ◽  
Osamu Umegaki ◽  
Noriko Kadono ◽  
Toshiaki Minami
Keyword(s):  
Logistic Regression ◽  
Independent Predictor ◽  
Prognostic Index ◽  
Prognostic Scores ◽  
Regression Analyses ◽  
Multivariate Logistic Regression ◽  
Significant Independent Predictor ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Life Threatening ◽  
Neutrophil Gelatinase

Abstract Objective Sepsis is a syndrome involving life-threatening organ dysfunction. The present study aimed to determine whether septic AKI, ARDS, DIC, and shock can be predicted more readily by combining uNGAL values and inflammation-based prognostic scores, over the use of uNGAL values alone. Results ROC curve analyses yielded the following cut-off values: AKI: 438.5 (ng/ml) for uNGAL at Day 1 (AUC, 0.8), 476.9 (ng/ml) for uNGAL at Day 2 (AUC, 0.86), 123.8 (ng/ml) for uNGAL at Day 3 (AUC, 0.81), 133.6 (ng/ml) for uNGAL at Day 4 (AUC, 0.78), 1.0 for iNS NGAL-NLR (AUC, 0.75), 2.0 for iNS NGAL-PI (AUC, 0.77), DIC; 648.5 (ng/ml) for uNGAL at Day 1 (AUC, 0.77); shock; 123.8 (ng/ml) for uNGAL at Day 3 (AUC, 0.71) and 9 for SOFA (AUC, 0.71). Multivariate logistic regression analyses revealed iNS NGAL-PI to be a significant independent predictor of AKI (OR, 20.62; 95% CI, 1.03–412.3; p = 0.048).

Personalized symptom goals in symptom assessment: A prospective multicenter study.

2015 ◽  
Vol 33 (29_suppl) ◽  
pp. 190-190
Author(s):  
David Hui ◽  
Omar M. Shamieh ◽  
Carlos Eduardo Paiva ◽  
Pedro Emilio Perez-Cruz ◽  
Mary Ann Muckaden ◽  
...  
Keyword(s):  
Palliative Care ◽  
Logistic Regression ◽  
Advanced Cancer ◽  
Symptom Assessment ◽  
Well Being ◽  
Physical Symptoms ◽  
Multivariate Logistic Regression ◽  
Factors Associated ◽  
Symptom Intensity ◽  
Symptom Response

190 Background: PSG is a novel measure to assess treatment response in symptom management. In this multicenter prospective longitudinal observational study, we examined the PSG for 10 common symptoms in patients with advanced cancer, and identified the factors associated with PSG intensity and PSG response. Methods: We enrolled patients with advanced cancer seen at 5 outpatient palliative care clinics (USA, Jordan, Brazil, Chile and India). We assessed the intensity of 10 symptoms using the Edmonton Symptom Assessment Scale at first consultation visit and then a second visit 14-34 days later. We also assessed the PSG by asking patients “At what level would you feel comfortable with this symptom?” using the same 0-10 numeric rating scale for each symptom. Response was defined as symptom intensity ≤ PSG. We used multivariate logistic regression to determine factors associated with PSG intensity and PSG response. Results: 728 patients were enrolled from 5 palliative care clinics. The average age was 57 (range 19-85), 361 (50%) were female, and 29 (31%) were White. The medianPSG was 1/10 for nausea, 2/10 for depression, anxiety, drowsiness, well-being, dyspnea and sleep, and 3/10 for pain, fatigue, and appetite. In multivariate logistic regression, Asian ethnicity (odds ratio [OR] 2.4-8.2, P < 0.001), CAGE positivity (OR 1.7-2.3, P < 0.05) and higher baseline symptom intensity (ORs 1.08-1.15 per point, P < 0.03) were associated with PSG ≥ 2 for essentially all symptoms. At visit 2, 34%-73% of patients had a PSG response, which represents a significant improvement compared to the first visit (P < 0.05 except for depression, drowsiness and well-being). PSG response was associated with baseline PSG intensity (ORs 1.3-1.5 per point, P < 0.001) and ethnicity (P < 0.02) for physical symptoms, and male sex (ORs 1.45-1.65, P < 0.02) for psychological symptoms. Conclusions: PSG was 3 or lower for a majority of patients, and varied according to ethnicity, alcoholism and symptom intensity. PSG response allows clinicians and researchers to tailor treatment goals, while adjusting for individual differences in scale interpretation and factors associated with symptom response.

Impact of the primary information source used for decision making and implications for treatment regret in prostate cancer.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 17-17 ◽  
Author(s):  
Narek Shaverdian ◽  
Amar Upadhyaya Kishan ◽  
Darlene Veruttipong ◽  
D. Jeffrey Demanes ◽  
Patrick Kupelian ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Decision Making ◽  
Logistic Regression ◽  
Radiation Treatment ◽  
Information Source ◽  
The Internet ◽  
Radiation Oncologist ◽  
Multivariate Logistic Regression ◽  
Treatment Experience ◽  
The Impact

17 Background: Patients with localized prostate cancer (PCa) assimilate information from varying sources to inform their treatment decision. We assessed the impact of the primary information source used to select a modern radiation treatment on patient perceptions of their treatment experience and on treatment regret. Methods: Patients with favorable-risk PCa treated with SBRT, IMRT or HDR brachytherapy and at least one year of follow-up were surveyed. The questionnaire explored the decision-making experience, expected treatment experience vs. the reality, and treatment regret via a validated tool. Multivariate logistic regression adjusted for demographics, disease characteristics, treatment modality, time since treatment and current bowel, urinary and sexual function. Results: 322 consecutive patients were surveyed with an 86% (n = 276) response rate. 48% (n = 132) selected their radiation oncologist as the primary information source, 23% (n = 62) selected their urologist, 16% (n = 44) selected the internet, 6% (n = 17) selected other patients and 8% (n = 21) selected other. Overall, 13% (n = 36) endorsed treatment regret. 39% of patients who selected the internet as their primary information source reported their actual treatment experience to be worse than expected vs. 13% of respondents who selected their urologist, 12% who selected other patients, 2% who selected their radiation oncologist and 9% who selected other ( p< 0.01). Similarly, 43% who selected the internet as their primary information source endorsed treatment regret vs. 10% who selected their urologist, 7% who selected their radiation oncologist, 6% who selected other patients and 6% who selected other ( p< 0.01). On multivariate logistic regression, only patients who selected the internet as their primary information source were more likely to endorse treatment regret (OR = 46.5, p< 0.01) and were more likely to choose a treatment they thought ‘had the least side effects’ (OR = 2.1, p= 0.016). Conclusions: Patients who used the internet as their primary source of information had a worse perception of their treatment experience and had more treatment regret, highlighting the need for physicians to proactively counsel patients.

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