Before Fukushima, the most notorious large-scale nuclear accident the world had seen was Chernobyl in 1986. The fallout from Chernobyl covered vast areas in the Northern Hemisphere, especially in ...Europe. Belarus, at the time a Soviet republic, suffered heavily: nearly a quarter of its territory was covered with long-lasting radionuclides. Yet the damage from the massive fallout was largely imperceptible; contaminated communities looked exactly like noncontaminated ones. It could be known only through constructed representations of it. InThe Politics of Invisibility, Olga Kuchinskaya explores how we know what we know about Chernobyl, describing how the consequences of a nuclear accident were made invisible. Her analysis sheds valuable light on how we deal with other modern hazards -- toxins or global warming -- that are largely imperceptible to the human senses.Kuchinskaya describes the production of invisibility of Chernobyl's consequences in Belarus -- practices that limit public attention to radiation and make its health effects impossible to observe. Just as mitigating radiological contamination requires infrastructural solutions, she argues, the production and propagation of invisibility also involves infrastructural efforts, from redefining the scope and nature of the accident's consequences to reshaping research and protection practices. Kuchinskaya finds vast fluctuations in recognition, tracing varyingly successful efforts to conceal or reveal Chernobyl's consequences at different levels -- among affected populations, scientists, government, media, and international organizations. The production of invisibility, she argues, is a function of power relations.
Data from the 2003 and 2007 National Survey of Children's Health (NSCH) reflect the increasing prevalence of parent-reported attention-deficit/hyperactivity disorder (ADHD) diagnosis and treatment by ...health care providers. This report updates these prevalence estimates for 2011 and describes temporal trends.
Weighted analyses were conducted with 2011 NSCH data to estimate prevalence of parent-reported ADHD diagnosis, current ADHD, current medication treatment, ADHD severity, and mean age of diagnosis for U.S. children/adolescents aged 4 to 17 years and among demographic subgroups. A history of ADHD diagnosis (2003-2011), as well as current ADHD and medication treatment prevalence (2007-2011), were compared using prevalence ratios and 95% confidence intervals.
In 2011, 11% of children/adolescents aged 4 to 17 years had ever received an ADHD diagnosis (6.4 million children). Among those with a history of ADHD diagnosis, 83% were reported as currently having ADHD (8.8%); 69% of children with current ADHD were taking medication for ADHD (6.1%, 3.5 million children). A parent-reported history of ADHD increased by 42% from 2003 to 2011. Prevalence of a history of ADHD, current ADHD, medicated ADHD, and moderate/severe ADHD increased significantly from 2007 estimates. Prevalence of medicated ADHD increased by 28% from 2007 to 2011.
Approximately 2 million more U.S. children/adolescents aged 4 to 17 years had been diagnosed with ADHD in 2011, compared to 2003. More than two-thirds of those with current ADHD were taking medication for treatment in 2011. This suggests an increasing burden of ADHD on the U.S. health care system. Efforts to further understand ADHD diagnostic and treatment patterns are warranted.
Background
The majority of U.S. older adults consume alcoholic beverages. The older population is projected to almost double by 2050. Substantially more drinkers are likely.
Purpose
To describe ...gender‐specific trends (1997 to 2014) in prevalence of drinking status (lifetime abstention, former drinking, current drinking including average volume, and binge drinking) among U.S. adults ages 60+ by age group and birth cohort.
Methods
In the 1997 to 2014 National Health Interview Surveys, 65,303 respondents ages 60+ (31,803 men, 33,500 women) were current drinkers; 6,570 men and 1,737 women were binge drinkers. Prevalence estimates and standard errors were computed by age group (60+, 60 to 64, 65 to 69, 70 to 74, 75 to 79, 80+) and birth cohort (<1925, 1925 to 1935, 1936 to 1945, 1946 to 1954). Trends were examined using joinpoint regression and described as average annual percent change (AAPC; overall change 1997 to 2014) and annual percent change (APC; in‐between infection points). Primary analyses were unadjusted. All analyses (unadjusted and adjusted for demographics/lifestyle) were weighted to produce nationally representative estimates. Statistical procedures accounted for the complex survey design.
Results
Among men ages 60+, unadjusted prevalence of current drinking trended upward, on average, 0.7% per year (AAPC, p = 0.02); average volume and prevalence of binge drinking remained stable. Adjusted results were similar. Among women age 60+, unadjusted prevalence of current drinking trended upward, on average, 1.6% per year (AAPC, p < 0.0001), but average volume remained stable; prevalence of binge drinking increased, on average, 3.7% per year (AAPC, p < 0.0001). Adjusted results were similar. Trends varied by age group and birth cohort. Among men born 1946 to 1954, unadjusted prevalence of current drinking trended upward, on average, 2.4% per year (AAPC, p = 0.02); adjusted results were nonsignificant.
Conclusions
Our finding of upward trends in drinking among adults ages 60+, particularly women, suggests the importance of public health planning to meet future needs for alcohol‐related programs.
Most older Americans consume alcoholic beverages. The US older population is projected to almost double by 2050, suggesting substantially more future drinkers. We examined trends in drinking among US adults ages 60+ using 1997–2014 National Health Interview Survey data. Prevalence of current (past 12 month) drinking trended upward among both men and women, though more strongly among women. Binge drinking also trended upward among women. Public health planning is needed to meet the future alcohol‐related needs of older Americans.
Background Gallstones are associated with obesity, and the BRI is a new obesity index that more accurately reflects body fat and visceral fat levels. The relationship between BRI and gallstone risk ...is currently unknown, and we aimed to explore the relationship between BRI and gallstone prevalence. Methods A cross-sectional study was conducted utilizing data from the 2017-2020 NHANES involving a total of 5297 participants. To assess the association between BRI and gallstones, we used logistic regression analysis, subgroup analysis, and interaction terms. In addition, we performed restricted cubic spline (RCS) analysis and threshold effects analysis to characterize nonlinear relationships. We assessed the ability of BRI and Body mass index (BMI) to identify gallstones using receiver operating curve (ROC) analysis and area under the curve (AUC), and compared them using the Delong test. Results Of the 5297 participants aged 20 years and older included in the study, 575 had gallstones. In fully adjusted models, a positive association between BRI and gallstone prevalence was observed (OR = 1.16, 95% CI: 1.12-1.20, P < 0.0001). Individuals in the highest quartile of BRI had a 204% increased risk of gallstones compared with those in the lowest quartile (OR = 3.04, 95% CI: 2.19-4.22, P < 0.0001). The correlation between BRI and gallstones persisted in subgroup analyses. RCS analyses showed a nonlinear relationship between BRI and gallstones. The inflection point was further found to be 3.96, and the correlation between BRI and gallstones was found both before and after the inflection point. ROC analysis showed that BRI (AUC = 0.667) was a stronger predictor of gallstones than BMI (AUC = 0.634). Conclusions Elevated BRI is associated with an increased risk of gallstones in the U.S. population, and BRI is a stronger predictor of gallstones than BMI. Maintaining an appropriate BRI is recommended to reduce the incidence of gallstones. Keywords: Body roundness index, Gallstones, NHANES, Cross-sectional study, Body fat
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Complementary Health Approaches (CHA) are commonly used by children with cancer; however, a few health care providers (HCPs) inquire about the use of CHA. A standardized questionnaire could ...facilitate such clinical discussions. We aimed to adapt and determine the face and content validity of the "Which Health Approaches and Treatments are you using?" (WHAT) child and parent-report questionnaires in pediatric oncology. An electronic Delphi survey that included children with cancer (8-18 years), parents, and HCPs and CHA researchers was conducted to reach consensus on the content of the WHAT questionnaires in pediatric oncology. Children and parents from the Hospital for Sick Children (SickKids), and HCPs and researchers from the International Society of Pediatric Oncology and Pediatric Complementary and Alternative Medicine Research and Education Network completed the survey. To determine the face and content validity of the questionnaires, two iterative cycles of individual interviews were conducted with purposive samples of children (8-18 years), parents, and HCPs from SickKids. Consensus was reached on all domains and items of the original WHAT questionnaires after one Delphi cycle (n = 61). For face and content validity testing, the first cycle of interviews (n = 19) revealed that the questionnaires were mostly comprehensive and relevant. However, the paper-based format of the original WHAT was not user-friendly, and generic items were vague and not aimed at facilitating clinical dialogues about CHA use. The WHAT questionnaires were then modified into electronic cancer-specific self- and proxy-report questionnaires including 13 and 15 items, respectively. The second cycle (n = 21) showed no need for further changes. The modified electronic cancer-specific WHAT questionnaires showed adequate face and content validity. The next step is to determine inter-rater reliability, construct validity, and feasibility of administration of the modified WHAT questionnaires in pediatric oncology.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
The prevalence of diabetes is increasing rapidly in low- and middle-income countries (LMICs), urgently requiring detailed evidence to guide the response of health systems to this epidemic. In an ...effort to understand at what step in the diabetes care continuum individuals are lost to care, and how this varies between countries and population groups, this study examined health system performance for diabetes among adults in 28 LMICs using a cascade of care approach.
We pooled individual participant data from nationally representative surveys done between 2008 and 2016 in 28 LMICs. Diabetes was defined as fasting plasma glucose ≥ 7.0 mmol/l (126 mg/dl), random plasma glucose ≥ 11.1 mmol/l (200 mg/dl), HbA1c ≥ 6.5%, or reporting to be taking medication for diabetes. Stages of the care cascade were as follows: tested, diagnosed, lifestyle advice and/or medication given ("treated"), and controlled (HbA1c < 8.0% or equivalent). We stratified cascades of care by country, geographic region, World Bank income group, and individual-level characteristics (age, sex, educational attainment, household wealth quintile, and body mass index BMI). We then used logistic regression models with country-level fixed effects to evaluate predictors of (1) testing, (2) treatment, and (3) control. The final sample included 847,413 adults in 28 LMICs (8 low income, 9 lower-middle income, 11 upper-middle income). Survey sample size ranged from 824 in Guyana to 750,451 in India. The prevalence of diabetes was 8.8% (95% CI: 8.2%-9.5%), and the prevalence of undiagnosed diabetes was 4.8% (95% CI: 4.5%-5.2%). Health system performance for management of diabetes showed large losses to care at the stage of being tested, and low rates of diabetes control. Total unmet need for diabetes care (defined as the sum of those not tested, tested but undiagnosed, diagnosed but untreated, and treated but with diabetes not controlled) was 77.0% (95% CI: 74.9%-78.9%). Performance along the care cascade was significantly better in upper-middle income countries, but across all World Bank income groups, only half of participants with diabetes who were tested achieved diabetes control. Greater age, educational attainment, and BMI were associated with higher odds of being tested, being treated, and achieving control. The limitations of this study included the use of a single glucose measurement to assess diabetes, differences in the approach to wealth measurement across surveys, and variation in the date of the surveys.
The study uncovered poor management of diabetes along the care cascade, indicating large unmet need for diabetes care across 28 LMICs. Performance across the care cascade varied by World Bank income group and individual-level characteristics, particularly age, educational attainment, and BMI. This policy-relevant analysis can inform country-specific interventions and offers a baseline by which future progress can be measured.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
To study the effects of several survey features on response rates in a general population health survey.
In 2012 and 2013, 8000 households in British Columbia, Canada, were randomly allocated to 1 of ...7 survey variants, each containing a different combination of survey features. Features compared included administration modes (paper vs online), prepaid incentive ($2 coin vs none), lottery incentive (instant vs end-of-study), questionnaire length (10 minutes vs 30 minutes), and sampling frame (InfoCanada vs Canada Post).
The overall response rate across the 7 groups was 27.9% (range = 17.1-43.4). All survey features except the sampling frame were associated with statistically significant differences in response rates. The survey mode elicited the largest effect on the odds of response (odds ratio OR = 2.04; 95% confidence interval CI = 1.61, 2.59), whereas the sampling frame showed the least effect (OR = 1.14; 95% CI = 0.98, 1.34). The highest response was achieved by mailing a short paper survey with a prepaid incentive.
In a mailed general population health survey in Canada, a 40% to 50% response rate can be expected. Questionnaire administration mode, survey length, and type of incentive affect response rates.
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