Eating disorders in South Asia: Should we be concerned?

Eating disorders are a group of psychiatric conditions characterised by disturbances in eating behaviour along with severe concern regarding bodyweight and shape, which appear to be on the rise in South Asian countries. These disorders are commonly observed in young individuals and are caused by a complex interaction of genetic, biological, psychological and social factors and associated with a wide range of adverse physical, psychological and social consequences. Treatment of these disorders can be quite expensive as it requires specialised care from a multidisciplinary team. Hence, prevention of eating disorders is essential; this should focus on modifiable risk factors such as the media and low self‐esteem, which contribute to body image dissatisfaction in young people and increases their risk of developing an eating disorder. This article provides recommendations for prevention of eating disorders specifically in the South Asian context.     

Should we be concerned about the vitamin D status of athletes?

A surprisingly high prevalence of vitamin D insufficiency and deficiency has recently been reported worldwide. Although very little is known about vitamin D status among athletes, a few studies suggest that poor vitamin D status is also a problem in athletic populations. It is well recognized that vitamin D is necessary for optimal bone health, but emerging evidence is finding that vitamin D deficiency increases the risk of autoimmune diseases and nonskeletal chronic diseases and can also have a profound effect on human immunity, inflammation, and muscle function (in the elderly). Thus, it is likely that compromised vitamin D status can affect an athlete's overall health and ability to train (i.e., by affecting bone health, innate immunity, and exercise-related immunity and inflammation). Although further research in this area is needed, it is important that sports nutritionists assess vitamin D (as well as calcium) intake and make appropriate recommendations that will help athletes achieve adequate vitamin D status: serum 25(OH)D of at least 75 or 80 nmol/L. These recommendations can include regular safe sun exposure (twice a week between the hours of 10 a.m. and 3 p.m. on the arms and legs for 5-30 min, depending on season, latitude, and skin pigmentation) or dietary supplementation with 1,000-2,000 IU vitamin D3 per day. Although this is significantly higher than what is currently considered the adequate intake, recent research demonstrates these levels to be safe and possibly necessary to maintain adequate 25(OH)D concentrations.     

Scope insensitivity in contingent valuation studies of health care services: should we ask twice?

The main purpose of the present study was to test for outcome scope insensitivity. Respondents were initially asked to value one of two severe health states by way of a time-trade-off (TTO) exercise. Subsequent to the TTO exercise all respondents were asked to value an intervention, which offered a reduction in risk of falling into the health state they had evaluated. All respondents were subsequent to this initial CV exercise asked to value the same risk reduction, but in this case the outcome was death. Although our study passes the internal scope test, there is not a high degree of sensitivity to outcome. As many as 68% of respondents stated an identical maximum WTP in first and second CV valuation exercise implying that they value the interventions equally despite the fact that the health state presented in the initial CV question was deemed far better than death according to the TTO responses given by the same respondents. In contrast, the external scope test (comparison of response to initial CV across study arms) fared much better.     

The socioeconomic status of older adults: How should we measure it in studies of health inequalities?

STUDY OBJECTIVE: To identify which of seven indicators of socioeconomic status used singly or combined with one other would be most useful in studies of health inequalities in the older population. DESIGN: Secondary analysis of socioeconomic and health data in a two wave survey. SETTING: Great Britain. Participants were interviewed at home by a trained interviewer. PARTICIPANTS: Nationally representative sample of 3543 adults aged 55-69 interviewed in 1988/9, 2243 of whom were interviewed again in 1994. METHODS: Desirable features of socioeconomic measurement systems for identifying health inequalities in older populations were identified with reference to the literature. Logistic regression was used to examine variations in self reported health by seven indicators of socioeconomic status. The pair of indicators with the greatest explanatory power was identified. MAIN RESULTS: All indicators were significantly associated with differences in self reported health. The best pair of variables, according to criteria used, was educational qualification or social class paired with a deprivation indicator. DISCUSSION: For a range of reasons the measurement of socioeconomic status is particularly challenging in older age groups. Extending our knowledge of which indicators work well in analyses and are relatively easy to collect should help both further study of health inequalities in the older population and appropriate planning.     

Ectopic pregnancy deaths: what should we be doing?

Ectopic pregnancy is the leading cause of maternal mortality in the first trimester of pregnancy. A greater awareness of risk factors and improved diagnostic techniques now allow ectopic pregnancies to be identified before the development of life-threatening events. Non-surgical management options also decrease maternal morbidity.     

How should risk adjustment data be collected?

Risk adjustment has broad general application and is a key part of the Patient Protection and Affordable Care Act (ACA). Yet, little has been written on how data required to support risk adjustment should be collected. This paper offers analytical support for a distributed approach, in which insurers retain possession of claims but pass on summary statistics to the risk adjustment authority as needed. It shows that distributed approaches function as well as or better than centralized ones-where insurers submit raw claims data to the risk adjustment authority-in terms of the goals of risk adjustment. In particular, it shows how distributed data analysis can be used to calibrate risk adjustment models and calculate payments, both in theory and in practice--drawing on the experience of distributed models in other contexts. In addition, it explains how distributed methods support other goals of the ACA, and can support projects requiring data aggregation more generally. It concludes that states should seriously consider distributed methods to implement their risk adjustment programs.     

Smoking of non-cigarette tobacco products by students in three Brazilian cities: should we be worried?

Smoking of non-cigarette tobacco products is increasing worldwide because of their high social acceptability, misperceptions about their purported harmlessness, and globalization of the tobacco industry. In Brazil, tobacco control experts have recently focused their attention on the importance of monitoring the use of such products. We analyzed data from the Global Youth Tobacco Survey (2009) in three cities. Prevalence rates of non-cigarette tobacco smoking in the previous 30 days among students 13 to 15 years of age were high in Campo Grande (18.3%; 95%CI: 14.4%-22.9%) and S?o Paulo (22.1%; 95%CI: 19.0%-25.6%), while Vitória showed comparatively lower prevalence (4.3%; 95%CI: 3.1%-5.7%). No statistical differences were observed in prevalence rates according to gender. Water pipes were the most frequent form of non-cigarette tobacco smoking. The decline in cigarette smoking in Brazil in recent years may have contributed to other forms of tobacco smoking, especially among students.     

Vaginal birth after cesarean and trial of labor after cesarean: what should we be recommending relative to maternal risk:benefit?

Trial of labor after cesarean (TOLAC) delivery is currently a hot obstetrical topic owing to the acute rise in the rate of cesarean deliveries, both primary and repeat. When the physician and patient are considering TOLAC, several factors should be considered: risk of uterine rupture, contraindications, minimizing risk and morbidity, choosing the appropriate candidate and whether or not to induce. Each patient has her own set of individual risk factors that may decrease her chance of successful vaginal birth after cesarean delivery or increase her risks with TOLAC. Once all things are considered, the risk:benefit of TOLAC should be weighed up before a decision is reached. Each of these factors is discussed in respect to maternal risk:benefit, with the focus on evidence presented in the current literature.     

Assessment of deaths attributable to air pollution: should we use risk estimates based on time series or on cohort studies?

Epidemiologic studies are crucial to the estimation of numbers of deaths attributable to air pollution. In this paper, the authors present a framework for distinguishing estimates of attributable cases based on time-series studies from those based on cohort studies, the latter being 5-10 times larger. The authors distinguish four categories of death associated with air pollution: A) air pollution increases both the risk of underlying diseases leading to frailty and the short term risk of death among the frail; B) air pollution increases the risk of chronic diseases leading to frailty but is unrelated to timing of death; C) air pollution is unrelated to risk of chronic diseases but short term exposure increases mortality among persons who are frail; and D) neither underlying chronic disease nor the event of death is related to air pollution exposure. Time-series approaches capture deaths from categories A and C, whereas cohort studies assess cases from categories A, B, and C. In addition, years of life lost can only be derived from cohort studies, where time to death is the outcome, while in time-series studies, death is a once-only event (no dimension in time). The authors conclude that time-series analyses underestimate cases of death attributable to air pollution and that assessment of the impact of air pollution on mortality should be based on cohort studies.