Trends in Self‐Reported Oral Health of US Adults: National Health and Nutrition Examination Survey 1999‐2014

Objective Single‐item self‐reported oral health (SROH) is a convenient and reliable measure for the assessment of population‐based oral health. However, little is known about trends and its associations among US adults. This study investigated trends in SROH (aged 20+ years) and the associated factors among adults living in the United States. Methods Self‐reported oral health data for 41 621 adults aged 20+ years from the National Health and Nutrition Examination Survey (NHANES) 1999 to 2014 were analysed. Survey‐weighted descriptive statistics were computed to provide nationally representative estimates. Multivariable logistic regression was performed separately for each survey period with SROH as the primary outcome. Independent variables included were age, gender, race/ethnicity, education level and family poverty income ratio or PIR. Pooled survey‐weighted multivariable logistic regression was also performed to consider possible time‐changing effects. Results The survey‐weighted proportions of “excellent or very good” in SROH increased from 27% in 1999‐2000 (n = 4873) to 38% in 2013‐2014 (n = 5765). Separate multivariable logistic analyses for each survey period suggested that females, Whites (vs Mexican and Black Americans) as well as respondents from high family PIR had higher odds of reporting their oral health as “excellent or very good” (P \u3c .05). The pooled multivariable logistic model confirmed results in the separate logistic regression, and respondents in the more recent survey periods had higher probabilities of reporting “excellent or very good” oral health. Respondents aged 50‐59 years were found to have relatively lower probabilities of reporting “excellent or very good” oral health, while people aged 20‐29 years had higher probabilities than those aged 30‐39 years. Compared to respondents with lower education, those with higher education were more likely to report their oral health as excellent or very good. Conclusions Self‐reported oral health improved from 1999 to 2014. In general, respondents who were young, female, White, had higher education or higher income or were surveyed in more recent years reported excellent or very good oral health

The Turtle Garden: Tan Kah Kee’s last spiritual world

This paper explores the role of diasporic subjects in China’s heritage-making through a case study of the Turtle Garden built by Tan Kah Kee in Xiamen, China. Tan is the first person with Overseas Chinese background who built museums in the P.R. China and has been regarded as a symbol of Overseas Chinese patriotism. This paper argues that the Turtle Garden, conceptualised as a postcolonial ‘carnivalesque’ space, is more than a civic museum for public education. It reflects the owner’s highly complex and sometimes conflicting museum outlook embedded in his life experience as a migrant, his encounter with (British) colonialism in Malaya, and integrated with his desire and despair about the Chinese Communist Party’s nation-building project in the 1950s. Rather than a sign of devotion to the socialist motherland as simplistically depicted in China’s discourse, the garden symbolises Tan’s last ‘spiritual world’ where he simultaneously engaged with soul-searching as a returned Overseas Chinese and alternative diasporic imagining of Chinese identities and nation. It brings to light the value of heritage-making outside centralised heritage discourses, and offers an invaluable analytical lens to disentangle the contested and ever shifting relationship between diasporic subjects, cultural heritage and nation-(re)building in the Chinese context and beyond

Application of ordinal logistic regression analysis in determining risk factors of child malnutrition in Bangladesh

<p>Abstract</p> <p>Background</p> <p>The study attempts to develop an ordinal logistic regression (OLR) model to identify the determinants of child malnutrition instead of developing traditional binary logistic regression (BLR) model using the data of Bangladesh Demographic and Health Survey 2004.</p> <p>Methods</p> <p>Based on weight-for-age anthropometric index (Z-score) child nutrition status is categorized into three groups-severely undernourished (< -3.0), moderately undernourished (-3.0 to -2.01) and nourished (≥-2.0). Since nutrition status is ordinal, an OLR model-proportional odds model (POM) can be developed instead of two separate BLR models to find predictors of both malnutrition and severe malnutrition if the proportional odds assumption satisfies. The assumption is satisfied with low p-value (0.144) due to violation of the assumption for one co-variate. So partial proportional odds model (PPOM) and two BLR models have also been developed to check the applicability of the OLR model. Graphical test has also been adopted for checking the proportional odds assumption.</p> <p>Results</p> <p>All the models determine that age of child, birth interval, mothers' education, maternal nutrition, household wealth status, child feeding index, and incidence of fever, ARI & diarrhoea were the significant predictors of child malnutrition; however, results of PPOM were more precise than those of other models.</p> <p>Conclusion</p> <p>These findings clearly justify that OLR models (POM and PPOM) are appropriate to find predictors of malnutrition instead of BLR models.</p

Global mapping of highly pathogenic avian influenza H5N1 and H5Nx clade 2.3.4.4 viruses with spatial cross-validation.

Global disease suitability models are essential tools to inform surveillance systems and enable early detection. We present the first global suitability model of highly pathogenic avian influenza (HPAI) H5N1 and demonstrate that reliable predictions can be obtained at global scale. Best predictions are obtained using spatial predictor variables describing host distributions, rather than land use or eco-climatic spatial predictor variables, with a strong association with domestic duck and extensively raised chicken densities. Our results also support a more systematic use of spatial cross-validation in large-scale disease suitability modelling compared to standard random cross-validation that can lead to unreliable measure of extrapolation accuracy. A global suitability model of the H5 clade 2.3.4.4 viruses, a group of viruses that recently spread extensively in Asia and the US, shows in comparison a lower spatial extrapolation capacity than the HPAI H5N1 models, with a stronger association with intensively raised chicken densities and anthropogenic factors

Valuation of ecosystem services to inform management of multiple-use landscapes

Public agencies worldwide are increasingly adopting an ecosystem service framework to manage lands serving multiple uses. Yet, reliable, practical, and well-tailored methods remain a major limitation in moving from conceptual to actionable approaches. Together with one of the largest federal land managing agencies, we co-develop and co-demonstrate an ecosystem services approach tailored to specific decisions, through a process with potentially widespread relevance. With the U.S. Department of Defense (DoD), we focus on balancing military training with biodiversity and resource conservation under both budgetary and land-use pressures at a representative installation. In an iterative process of co-design and application, we define, map, and quantify multiple ecosystem services under realistic management options. Resource management budget emerges as a major determinant of the degree to which managers can sustain both necessary training environments – a DoD-specific ecosystem service – and a prairie ecosystem with species of conservation concern. We also found clear tradeoffs between training intensity and forest-related services. Our co-developed approach brings otherwise hidden values and tradeoffs to the fore in a balanced way that can help public agencies safeguard priority services under potentially conflicting uses and budget limitations

Effectiveness of a targeted exercise intervention in reversing older peoples mild balance dysfunction: A randomised controlled trail

Background: Previous research has mainly targeted older people with high risk of falling. The effectiveness of exercise interventions in older people with mild levels of balance dysfunction remains unexplored. Objective: This study evaluated the effectiveness of a home balance and strength exercise intervention in older people systematically screened as having mild balance dysfunction. Design: This was a community-based, randomized controlled trial with assessors blinded to group allocation. Participants: Study participants were older people who reported concerns about their balance but remained community ambulant (n=225). After a comprehensive balance assessment, those classified as having mild balance dysfunction (n=165) were randomized into the trial. Intervention: Participants in the intervention group (n=83) received a 6-month physical therapist–prescribed balance and strength home exercise program, based on the Otago Exercise Program and the Visual Health Information Balance and Vestibular Exercise Kit. Participants in the control group (n=82) continued with their usual activities. Outcome Measures: Laboratory and clinical measures of balance, mobility, and strength were assessed at baseline and at a 6-month reassessment.Results: After 6 months, the intervention group (n=59) significantly improved relative to the control group (n=62) for: the Functional Reach Test (mean difference=2.95 cm, 95% confidence interval [CI]=1.75 to 4.15), the Step Test (2.10 steps/15 seconds, 95% CI=1.17 to 3.02), hip abductor strength (0.02, 95% CI=0.01 to 0.03), and gait step width (2.17 cm, 95% CI=1.23 to 3.11). There were nonsignificant trends for improvement on most other measures. Fourteen participants in the intervention group (23.7%) achieved balance performance within the normative range following the exercise program, compared with 3 participants (4.8%) in the control group. Limitations: Loss to follow-up (26.6%) was slightly higher than in some similar studies but was unlikely to have biased the results. Conclusions: A physical therapist–prescribed home exercise program targeting balance and strength was effective in improving a number of balance and related outcomes in older people with mild balance impairment

An evaluation of gender equity in different models of primary care practices in Ontario

Background: The World Health Organization calls for more work evaluating the effect of health care reforms on gender equity in developed countries. We performed this evaluation in Ontario, Canada where primary care models resulting from reforms co-exist. // Methods: This cross sectional study of primary care practices uses data collected in 2005-2006. Healthcare service models included in the study consist of fee for service (FFS) based, salaried, and capitation based. We compared the quality of care delivered to women and men in practices of each model. We performed multi-level, multivariate regressions adjusting for patient socio-demographic and economic factors to evaluate vertical equity, and adjusting for these and health factors in evaluating horizontal equity. We measured seven dimensions of health service delivery (e.g. accessibility and continuity) and three dimensions of quality of care using patient surveys (n = 5,361) and chart abstractions (n = 4,108). // Results: Health service delivery measures were comparable in women and men, with differences ≤ 2.2% in all seven dimensions and in all models. Significant gender differences in the health promotion subjects addressed were observed. Female specific preventive manoeuvres were more likely to be performed than other preventive care. Men attending FFS practices were more likely to receive influenza immunization than women (Adjusted odds ratio: 1.75, 95% confidence intervals (CI) 1.05, 2.92). There was no difference in the other three prevention indicators. FFS practices were also more likely to provide recommended care for chronic diseases to men than women (Adjusted difference of -11.2%, CI -21.7, -0.8). A similar trend was observed in Community Health Centers (CHC). // Conclusions: The observed differences in the type of health promotion subjects discussed are likely an appropriate response to the differential healthcare needs between genders. Chronic disease care is non equitable in FFS but not in capitation based models. We recommend that efforts to monitor and address gender based differences in the delivery of chronic disease management in primary care be pursued.Funding for the original study on which this research is based was provided by the Ontario Ministry of Health and Long Term Care Primary Health Care Transition Fund. The views expressed in this report are the views of the authors and do not necessarily reflect those of the Ontario Ministry of Health and Long Term Care

Computerized advice on drug dosage to improve prescribing practice

International audienceComputerized advice on drug dosage to improve prescribing practice (Review) 1 Copyright © 2013 The Cochrane Collaboration. Published by JohnWiley & Sons, Ltd. Data collection and analysis Two review authors independently extracted data and assessed study quality.We grouped the results from the included studies by drug used and the effect aimed at for aminoglycoside antibiotics, amitriptyline, anaesthetics, insulin, anticoagulants, ovarian stimulation, anti-rejection drugs and theophylline. We combined the effect sizes to give an overall effect for each subgroup of studies, using a random-effects model. We further grouped studies by type of outcome when appropriate (i.e. no evidence of heterogeneity). Main results Forty-six comparisons (from 42 trials) were included (as compared with 26 comparisons in the last update) including a wide range of drugs in inpatient and outpatient settings. All were randomized controlled trials except two studies. Interventions usually targeted doctors, although some studies attempted to influence prescriptions by pharmacists and nurses. Drugs evaluated were anticoagulants, insulin, aminoglycoside antibiotics, theophylline, anti-rejection drugs, anaesthetic agents, antidepressants and gonadotropins. Although all studies used reliable outcome measures, their quality was generally low. This update found similar results to the previous update and managed to identify specific therapeutic areas where the computerized advice on drug dosage was beneficial compared with routine care: 1. it increased target peak serum concentrations (standardized mean difference (SMD) 0.79, 95% CI 0.46 to 1.13) and the proportion of people with plasma drug concentrations within the therapeutic range after two days (pooled risk ratio (RR) 4.44, 95% CI 1.94 to 10.13) for aminoglycoside antibiotics; 2. it led to a physiological parameter more often within the desired range for oral anticoagulants (SMD for percentage of time spent in target international normalized ratio +0.19, 95% CI 0.06 to 0.33) and insulin (SMD for percentage of time in target glucose range: +1.27, 95% CI 0.56 to 1.98); 3. it decreased the time to achieve stabilization for oral anticoagulants (SMD -0.56, 95% CI -1.07 to -0.04); 4. it decreased the thromboembolism events (rate ratio 0.68, 95% CI 0.49 to 0.94) and tended to decrease bleeding events for anticoagulants although the difference was not significant (rate ratio 0.81, 95%CI 0.60 to 1.08). It tended to decrease unwanted effects for aminoglycoside antibiotics (nephrotoxicity: RR 0.67, 95% CI 0.42 to 1.06) and anti-rejection drugs (cytomegalovirus infections: RR 0.90, 95% CI 0.58 to 1.40); 5. it tended to reduce the length of time spent in the hospital although the difference was not significant (SMD -0.15, 95% CI -0.33 to 0.02) and to achieve comparable or better cost-effectiveness ratios than usual care; 6. there was no evidence of differences in mortality or other clinical adverse events for insulin (hypoglycaemia), anaesthetic agents, antirejection drugs and antidepressants. For all outcomes, statistical heterogeneity quantified by I2 statistics was moderate to high. Authors’ conclusions This review update suggests that computerized advice for drug dosage has some benefits: it increases the serum concentrations for aminoglycoside antibiotics and improves the proportion of people for which the plasma drug is within the therapeutic range for aminoglycoside antibiotics. It leads to a physiological parameter more often within the desired range for oral anticoagulants and insulin. It decreases the time to achieve stabilization for oral anticoagulants. It tends to decrease unwanted effects for aminoglycoside antibiotics and anti-rejection drugs, and it significantly decreases thromboembolism events for anticoagulants. It tends to reduce the length of hospital stay compared with routine care while comparable or better cost-effectiveness ratios were achieved. However, there was no evidence that decision support had an effect on mortality or other clinical adverse events for insulin (hypoglycaemia), anaesthetic agents, anti-rejection drugs and antidepressants. In addition, there was no evidence to suggest that some decision support technical features (such as its integration into a computer physician order entry system) or aspects of organization of care (such as the setting) could optimize the effect of computerized advice. Taking into account the high risk of bias of, and high heterogeneity between, studies, these results must be interpreted with caution. P L A I N L A N G U A G E S U M M A R Y Computerized advice on drug dosage to improve prescribing practice (Review) 2 Copyright © 2013 The Cochrane Collaboration. Published by JohnWiley & Sons, Ltd. Computerized advice on drug dosage to improve prescribing practice Background Physicians and other healthcare professionals often prescribe drugs that will only work at certain concentrations. These drugs are said to have a narrow therapeutic window. This means that if the concentration of the drug is too high or too low, they may cause serious side effects or not provide the benefits they should. For example, blood thinners (anticoagulants) are prescribed to thin the blood to prevent clots. If the concentration is too high, people may experience excessive bleeding and even death. In contrast, if the concentration is too low, a clot could form and cause a stroke. For these types of drugs, it is important that the correct amount of the drug be prescribed. Calculating and prescribing the correct amount can be complicated and time-consuming for healthcare professionals. Sometimes determining the correct dose can take a long time since healthcare professionals may not want to prescribe high doses of the drugs initially because they make mistakes in calculations. Several computer systems have been designed to do these calculations and assist healthcare professionals in prescribing these types of drugs. Study characteristics We sought clinical trial evidence from scientific databases to evaluate the effectiveness of these computer systems. The evidence is current to January 2012. We found data from 42 trials (40 randomized controlled trials (trials that allocate people at random to receive one of a number of drugs or procedures) and two non-randomized controlled trials). Key results Computerized advice for drug dosage can benefit people taking certain drugs compared with empiric dosing (where a dose is chosen based on a doctor’s observations and experience)without computer assistance.When using the computer system, healthcare professionals prescribed appropriately higher doses of the drugs initially for aminoglycoside antibiotics and the correct drug dose was reached more quickly for oral anticoagulants. It significantly decreased thromboembolism (blood clotting) events for anticoagulants and tended to reduce unwanted effects for aminoglycoside antibiotics and anti-rejection drugs (although not an important difference). It tended to reduce the length of hospital stay compared with routine care with comparable or better cost-effectiveness. There was no evidence of effects on death or clinical side events for insulin (low blood sugar (hypoglycaemia)), anaesthetic agents, anti-rejection drugs (drugs taken to prevent rejection of a transplanted organ) and antidepressants. Quality of evidence The quality of the studies was low so these results must be interpreted with caution