Source: http://ije.oxfordjournals.org/cgi/content/short/41/3/604?rss=1
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Source: http://www.nejm.org/doi/full/10.1056/NEJMoa1207756?ai=rv&af=R&rss=currentIssue
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Background A series of cross-sectional studies have found a relationship between stunting and obesity in childhood. Because height appears in both the numerator of indices of stunting and the denominator of indices of obesity, random errors made by fieldworkers measuring heights can produce negative bias in estimates of this relationship.
Methods With longitudinal data, height can be instrumented with its lagged value in a two-stage probit regression model, purging the estimated association between the probability of being obese or underweight and the height-for-age z-score of this errors-in-variables bias. Such a model is fitted to a cohort of 1110 primary-school-age children measured in 1993–2004 in a panel study in KwaZulu-Natal, South Africa. The study also collected detailed data on households' demographic and socio-economic characteristics.
Results Risk factors for stunting, wasting and obesity differed in this population. Stunting was not associated with childhood obesity in either the cross-sectional or two-stage models. In the cross-sectional analysis, however, random measurement errors masked a negative association between children's height-for-age and their probability of being underweight or wasted that emerged in the two-stage instrumental variable models. This association was further amplified, rather than attenuated, by controlling for children's household income, racial group, residence and mother's education.
Conclusions The validity of the findings of earlier cross-sectional studies of the association between stunting and obesity in childhood is dependent on the precision with which they measured height. Random measurement error can also mask an association between being stunted and underweight in cross-sectional studies.
Source: http://ije.oxfordjournals.org/cgi/content/short/41/3/764?rss=1
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Source: http://www.nejm.org/doi/full/10.1056/NEJMra1207068?ai=rv&af=R&rss=currentIssue
Source: http://www.nejm.org/doi/full/10.1056/NEJMoa1209759?ai=rv&af=R&rss=currentIssue
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The smoking prevalence in Europe varies from 14% in Sweden to nearly 38% in Greece.
The effects of nicotine, like those of other drugs with the potential for abuse and dependence, are centrally mediated. The impact of nicotine on the central nervous system is neuroregulatory in nature, affecting...
Source: http://pmj.bmj.com/cgi/content/short/88/1045/617?rss=1
Background Although major societal changes have been observed in former Soviet countries, the child health consequences of these changes have rarely been studied.
Methods We examined the associations of paternal alcohol consumption and family transitions with cognitive ability and behaviour problems among healthy, early school-age Belarusian children. Our study is based on follow-up of children aged 6.5 years participating in a cluster-randomized trial of a breastfeeding promotion intervention. Paternal alcohol consumption was measured at follow-up and classified into three categories: at least weekly consumption of heavy (≥6 standard units per occasion), moderate (4–5 units per occasion), or light (≤3 units per occasion) or infrequent drinking. Family transition from birth to age 6.5 years was categorized into living stably with an intact family, having transitioned into a stepfamily, having transitioned into a single-parent family and living stably with a single-parent family. Mean differences in intelligence quotient (IQ) measured with the Wechsler Abbreviated Scales of Intelligence and in behaviour problems measured with the Strengths and Difficulties Questionnaire were compared according to paternal alcohol and family transition, after controlling for a wide range of confounding factors.
Results Children whose fathers were moderate or heavy drinkers with at least weekly alcohol consumption showed 1.5–2.5 points lower mean IQ scores and greater behaviour problems (range 0.1–0.3 SD) compared with those whose fathers were light or infrequent drinkers. Compared with children from stable intact families, children who transitioned into stepfamilies had 1 point lower IQ and greater behaviour problems by 0.1–0.4 SD, and children from stable single-parent families or with transition into single-parent families showed no cognitive deficit but greater behaviour problems (range 0.1–0.3 SD).
Conclusions The sharp rise in both alcohol consumption and divorce/re-marriage rates in former Soviet countries may have negative consequences for cognitive and behavioural development in children.
Source: http://ije.oxfordjournals.org/cgi/content/short/41/4/1086?rss=1
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Located in the Kassena-Nankana districts of northern Ghana, the Navrongo health and demographic surveillance system (NHDSS) was established in 1992 by the Navrongo health research centre (NHRC). The NHRC is one of three research centres of the Ghana health service. The activities and potential of the NHDSS for collaborative research are described. The NHDSS monitors health and demographic dynamics of the two Kassena-Nankana districts of northern Ghana and facilitates evaluation of the morbidity and mortality impact of health and social interventions. The total population currently under surveillance is 152 000 residing in 32 000 households. Events monitored routinely include pregnancies, births, morbidity, deaths, migration, marriages and vaccination coverage. Data updates are done every 4 months by trained fieldworkers. The NHRC also undertakes biomedical and socio-economic studies. Additional features of the NHDSS include the community key informant system where trained volunteers routinely report key events, such as births and deaths as they occur in their locality and the verbal autopsy (VA) system for determining the probable causes of deaths that occur at the community level. Data from the NHDSS are shared with funders and collaborators and partners in the INDEPTH Network. The Director of the NHDSS is the contact person for potential collaboration with the NHDSS and the use of its data.
Source: http://ije.oxfordjournals.org/cgi/content/short/41/4/968?rss=1
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The Nanoro Health and Demographic Surveillance System (HDSS), located in the rural centre of Burkina Faso, was established in 2009 by the Clinical Research Unit of Nanoro with the aim of providing a core framework for clinical trials and also to support the Burkina Faso health authorities in generating epidemiological data that can contribute to the setup and assessment of health interventions. In the baseline of initial census, 54 781 individuals were recorded of whom 56.1% are female. After the initial census, vital events such as pregnancies, births, migrations and deaths have been monitored, and data on individuals and household characteristics are updated during regular 4-monthly household visits. The available data are categorized into demographic, cultural, socio-economic and health information, and are used for monitoring and evaluation of population development issues. As a young site, our objective has been to strengthen our skills and knowledge and share new scientific experiences with INDEPTH and HDSS sites in Burkina Faso. In addition, all data produced by the Nanoro HDSS will be made publicly available through the INDEPTH data sharing system.
Source: http://ije.oxfordjournals.org/cgi/content/short/41/5/1293?rss=1
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The purpose of this article is to present in elementary mathematical and statistical terms a simple way to quickly and effectively teach and understand case–control studies, as they are commonly done in dynamic populations—without using the rare disease assumption. Our focus is on case–control studies of disease incidence (‘incident case–control studies’); we will not consider the situation of case–control studies of prevalent disease, which are published much less frequently.
Source: http://ije.oxfordjournals.org/cgi/content/short/41/5/1480?rss=1
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Much has been written about the measurement of socio-economic position (SEP) in high-income countries (HIC). Less has been written for an epidemiology, health systems and public health audience about the measurement of SEP in low- and middle-income countries (LMIC). The social stratification processes in many LMIC—and therefore the appropriate measurement tools—differ considerably from those in HIC. Many measures of SEP have been utilized in epidemiological studies; the aspects of SEP captured by these measures and the pathways through which they may affect health are likely to be slightly different but overlapping. No single measure of SEP will be ideal for all studies and contexts; the strengths and limitations of a given indicator are likely to vary according to the specific research question. Understanding the general properties of different indicators, however, is essential for all those involved in the design or interpretation of epidemiological studies. In this article, we describe the measures of SEP used in LMIC. We concentrate on measures of individual or household-level SEP rather than area-based or ecological measures such as gross domestic product. We describe each indicator in terms of its theoretical basis, interpretation, measurement, strengths and limitations. We also provide brief comparisons between LMIC and HIC for each measure.
Source: http://ije.oxfordjournals.org/cgi/content/short/41/3/871?rss=1
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The Nanoro Health and Demographic Surveillance System (HDSS), located in the rural centre of Burkina Faso, was established in 2009 by the Clinical Research Unit of Nanoro with the aim of providing a core framework for clinical trials and also to support the Burkina Faso health authorities in generating epidemiological data that can contribute to the setup and assessment of health interventions. In the baseline of initial census, 54 781 individuals were recorded of whom 56.1% are female. After the initial census, vital events such as pregnancies, births, migrations and deaths have been monitored, and data on individuals and household characteristics are updated during regular 4-monthly household visits. The available data are categorized into demographic, cultural, socio-economic and health information, and are used for monitoring and evaluation of population development issues. As a young site, our objective has been to strengthen our skills and knowledge and share new scientific experiences with INDEPTH and HDSS sites in Burkina Faso. In addition, all data produced by the Nanoro HDSS will be made publicly available through the INDEPTH data sharing system.
Source: http://ije.oxfordjournals.org/cgi/content/short/41/5/1293?rss=1
Background Research examining sedentary behaviour as a potentially independent risk factor for chronic disease morbidity and mortality has expanded rapidly in recent years.
Methods We present a narrative overview of the sedentary behaviour measurement literature. Subjective and objective methods of measuring sedentary behaviour suitable for use in population-based research with children and adults are examined. The validity and reliability of each method is considered, gaps in the literature specific to each method identified and potential future directions discussed.
Results To date, subjective approaches to sedentary behaviour measurement, e.g. questionnaires, have focused predominantly on TV viewing or other screen-based behaviours. Typically, such measures demonstrate moderate reliability but slight to moderate validity. Accelerometry is increasingly being used for sedentary behaviour assessments; this approach overcomes some of the limitations of subjective methods, but detection of specific postures and postural changes by this method is somewhat limited. Instruments developed specifically for the assessment of body posture have demonstrated good reliability and validity in the limited research conducted to date. Miniaturization of monitoring devices, interoperability between measurement and communication technologies and advanced analytical approaches are potential avenues for future developments in this field.
Conclusions High-quality measurement is essential in all elements of sedentary behaviour epidemiology, from determining associations with health outcomes to the development and evaluation of behaviour change interventions. Sedentary behaviour measurement remains relatively under-developed, although new instruments, both objective and subjective, show considerable promise and warrant further testing.
Source: http://ije.oxfordjournals.org/cgi/content/short/41/5/1460?rss=1
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Facing escalating health care expenditures, the governments of countries with national health insurance programs are trying to control or even to reduce health care utilization. Little research has examined the effects of decreased health care utilization on health outcomes. Applying a natural experiment design to the Taiwan population between 2000 and 2004, which includes the 2003 SARS epidemic when an average 20% decline in health care utilization occurred, this study examines the association between a decline in health care utilization and health outcomes measured by cause-specific mortality rates. We analyse the monthly mortality rates caused by infectious diseases, cancer, diabetes mellitus, nervous system diseases, cerebrovascular diseases, heart and other vascular diseases, respiratory system diseases, digestive system diseases, genitourinary system diseases and accidents. Models control for age, sex, month and year effects. Results show the heterogeneous effect of reduced health care utilization on health outcomes. Patients with diabetes mellitus or cerebrovascular diseases are vulnerable to short-term reductions in health care; compared with the non-SARS period, mortality caused by diabetes mellitus and cerebrovascular diseases significantly increased during the SARS epidemic by 8.4% and 6.2%, respectively. No significant change in mortality rates caused by the other diseases or accidents is found. This study suggests that governments of countries where health care utilization and spending are similar to or inferior to those in Taiwan should carefully evaluate the impact of policies that attempt to reduce health care utilization. Furthermore, when an area encounters an epidemic, governments should be aware of the negative consequences of voluntary restraints on access to health care that accompany decreases in utilization.
Source: http://heapol.oxfordjournals.org/cgi/content/short/27/7/590?rss=1
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Source: http://www.nejm.org/doi/full/10.1056/NEJMc1210169?ai=rv&af=R&rss=currentIssue
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Background Type 2 diabetes mellitus (T2DM) is one of the most common chronic diseases worldwide. In high-income countries, low socioeconomic status seems to be related to a high incidence of T2DM, but very little is known about the intermediate factors of this relationship.
Method We performed a case-cohort study in eight Western European countries nested in the EPIC study (n = 340 234, 3.99 million person-years of follow-up). A random sub-cohort of 16 835 individuals and a total of 12 403 incident cases of T2DM were identified. Crude and multivariate-adjusted hazard ratios (HR) were estimated for each country and pooled across countries using meta-analytical methods. Age-, gender- and country-specific relative indices of inequality (RII) were used as the measure of educational level and RII tertiles were analysed.
Results Compared with participants with a high educational level (RII tertile 1), participants with a low educational level (RII tertile 3) had a higher risk of T2DM [HR: 1.77, 95% confidence interval (CI): 1.69–1.85; P-trend < 0.01]. The HRs adjusted for physical activity, smoking status and propensity score according to macronutrient intake were very similar to the crude HR (adjusted HR: 1.67, 95% CI: 1.52–1.83 in men; HR: 1.88, 95% CI: 1.73–2.05 in women). The HRs were attenuated only when they were further adjusted for BMI (BMI-adjusted HR: 1.36, 95% CI: 1.23–1.51 in men; HR: 1.32, 95% CI: 1.20–1.45 in women).
Conclusion This study demonstrates the inequalities in the risk of T2DM in Western European countries, with an inverse relationship between educational level and risk of T2DM that is only partially explained by variations in BMI.
Source: http://ije.oxfordjournals.org/cgi/content/short/41/4/1162?rss=1
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