Age-specific trends in health-related quality of life among US adults: findings from National Health and Nutrition Examination Survey, 2001–2016

Quality of Life Research - Health-related quality of life (HRQoL) is an important indicator of population health, yet no age-specific trend analyses in HRQoL have been conducted with a nationally...     

Influence of pain and urinary symptoms on quality of life in young men with chronic prostatitis-like symptoms

BACKGROUND: Our aims in the present study were to estimate the influences of pain and urinary symptoms on quality of life, and to determine which of these two variables has the most predictive power with respect to quality of life in young men with chronic prostatitis-like symptoms. METHODS: Chronic prostatitis-like symptoms were measured by the National Institutes of Health-Chronic Prostatitis Symptom Index. Of the 28,841 men aged 20 years who lived in the study community, 18,495 men (a response rate 64.1%) agreed to participate in the study. A total of 1057 men who complained of symptoms indicative of chronic prostatitis were included in the study. The influences of pain and urinary symptoms on quality of life were determined using logistic regression analysis. The receiver operating characteristic (ROC) curve was used to estimate the predictive ability of each of these variables with respect to quality of life. RESULTS: Results from multivariate analysis showed that both pain and urinary symptoms were associated with an increased likelihood of impaired quality of life, although pain contributed more to a reduced quality of life than urinary symptoms. Relative to men who experienced mild pain, men who experienced moderate pain had a 3.9-fold risk of poor quality of life (odds ratio [OR], 3.87; 95% confidence interval [CI], 2.86-5.23; P < 0.001) and those who experienced severe pain had a 15.7-fold risk of reduced quality of life (OR, 15.68; 95% CI, 6.59-37.35; P < 0.001). Moderate urinary symptoms were associated with a 1.4-fold risk of bother (OR, 1.41; 95% CI, 1.01-1.99; P < 0.001) and severe urinary symptoms were associated with 2.4-fold risk (OR, 2.39; 95% CI, 1.37-4.12; P < 0.001), relative to mild urinary symptoms. Comparison of the effects of pain and urinary symptoms showed that pain severity had the most predictive power for bother, quality of life, and quality-of-life impact. The areas under the ROC curves for bother, quality of life, and quality-of-life impact were 71.3%, 69.3% and 72.5%, respectively. CONCLUSION: Urinary symptoms and pain might be associated with an increased likelihood of impaired quality of life in young men with chronic prostatitis-like symptoms. In addition, our findings suggest that pain severity is the most influential variable for determining quality of life in this population.     

Race and mammography use in two North Carolina counties.

OBJECTIVES: This study investigated racial differences in mammography use and their association with physicians' recommendations and other factors. METHODS: The study used 1988 survey data for 948 women 50 years of age and older from the New Hanover Breast Cancer Screening Program. Racial differences in terms of physician recommendation, personal characteristics, health characteristics, and attitudes toward breast cancer and mammography were examined. Factors at least minimally associated with race and use were included in multivariate logistic regression analyses to examine the effect of race while controlling for other factors. RESULTS: In comparison with White women. Black women were half as likely to report ever having had a mammogram (27% vs 52%) and having a mammogram in the past year (17% vs 36%). Black women also significantly less often reported physician recommendation (25% vs 52%). Although Black and White women differed significantly in other characteristics, multivariate logistic regression analyses indicated that physician recommendation accounted for 60% to 75% of the initial racial differences in mammography use. CONCLUSIONS: Understanding physicians' recommendations for breast cancer screening is a critical first step to increasing mammography use in disadvantaged populations.