Haemoglobin status of adult non-pregnant Kazakh women living in Kzyl-Orda region, Kazakhstan.

OBJECTIVE: To estimate the prevalence of anaemia among adult non-pregnant women in the Kzyl-Orda region of Kazakhstan, and to determine the association between haemoglobin concentration and anthropometric, socioeconomic, reproductive and dietary factors. DESIGN: A cross-sectional study using a randomly selected sample. Subjects were interviewed, and finger-prick blood samples and anthropometric measurements were collected. Associations between haemoglobin concentration and anthropometric and questionnaire data were evaluated by sequential linear regression analysis. SETTING: Health centres in Kazalinsk, Djalagash and Zhanakorgan districts of Kzyl-Orda region, Kazakhstan. SUBJECTS: Three-thousand six-hundred and twenty-five non-pregnant women aged 18-45 y randomly selected from health centre records. RESULTS: Iron deficiency anaemia, as reflected by low haemoglobin levels (Hb<12 g/dl), was detected in 40.2% of the total sample. There was a significant curvilinear relationship between haemoglobin concentration and age, with the nadir of the curve in the 30-40 y age-group. Haemoglobin concentration was found to be positively associated with body mass index (BMI) and socioeconomic factors. Significant negative associations were found between haemoglobin concentration and duration of menses, use of the intra-uterine contraceptive device and the consumption of tea. CONCLUSIONS: This study demonstrates that iron deficiency anaemia is present at considerable levels among adult women living in Kzyl-Orda region, Kazakhstan, and provides important baseline information for future research and public health interventions. SPONSORSHIP: Funding was provided by the United States Agency for International Development, Office of Nutrition, the United Kingdom Department for International Development, and the Polden-Puckham Trust

Factors influencing fruit and vegetable intake among urban Fijians: A qualitative study.

Low fruit and vegetable intake is an important risk factor for micronutrient deficiencies and non-communicable diseases, but many people worldwide, including most Fijians, eat less than the World Health Organization recommended amount. The present qualitative study explores factors that influence fruit and vegetable intake among 57 urban Fijians (50 women, 7 men) of indigenous Fijian (iTaukei) and South Asian (Indian) descent. Eight focus group discussions were held in and around Suva, Fiji's capital and largest urban area, which explored motivation for eating fruit and vegetables, understandings of links to health and disease, availability and sources, determinants of product choice, and preferred ways of preparing and eating fruit and vegetables. Data were analysed using thematic content analysis. Regardless of ethnicity, participants indicated that they enjoyed and valued eating fruit and vegetables, were aware of the health benefits, and had confidence in their cooking skills. In both cultures, fruit and vegetables were essential components of traditional diets. However, increasing preferences for processed and imported foods, and inconsistent availability and affordability of high-quality, low-priced, fresh produce, were identified as important barriers. The findings indicate that efforts to improve fruit and vegetable intake in urban Fijians should target the stability of the domestic fruit and vegetable supply and access

Methods for economic evaluation of a factorial-design cluster randomised controlled trial of a nutrition supplement and an exercise programme among healthy older people living in Santiago, Chile: the CENEX study

BACKGROUND: In an effort to promote healthy ageing and preserve health and function, the government of Chile has formulated a package of actions into the Programme for Complementary Food in Older People (Programa de Alimentación Complementaria para el Adulto Mayor - PACAM). The CENEX study was designed to evaluate the impact, cost and cost-effectiveness of the PACAM and a specially designed exercise programme on pneumonia incidence, walking capacity and body mass index in healthy older people living in low- to medium-socio-economic status areas of Santiago. The purpose of this paper is to describe in detail the methods that will be used to estimate the incremental costs and cost-effectiveness of the interventions. METHODS AND DESIGN: The base-case analysis will adopt a societal perspective, including the direct medical and non-medical costs borne by the government and patients. The cost of the interventions will be calculated by the ingredients approach, in which the total quantities of goods and services actually employed in applying the interventions will be estimated, and multiplied by their respective unit prices. Relevant information on costs of interventions will be obtained mainly from administrative records. The costs borne by patients will be collected via exit and telephone interviews. An annual discount rate of 8% will be used, consistent with the rate recommended by the Government of Chile. All costs will be converted from Chilean Peso to US dollars with the 2007 average period exchange rate of US$1 = 522.37 Chilean Peso. To test the robustness of model results, we will vary the assumptions over a plausible range in sensitivity analyses. DISCUSSION: The protocol described here indicates our intent to conduct an economic evaluation alongside the CENEX study. It provides a detailed and transparent statement of planned data collection methods and analyses. TRIAL REGISTRATION: ISRCTN48153354

The macro-economic effects of health co-benefits associated with climate change mitigation strategies

The UK government has specific targets for greenhouse gas (GHG) emission reduction to lower the risk of dangerous climate change. Strategies to reduce GHG emissions are sometimes perceived as expensive and difficult to implement but previous work has demonstrated significant potential health co-benefits from ‘Active Travel and low carbon driving’, ‘Housing Insulation/Ventilation’, and ‘Healthy Diet’ scenarios which may be attractive to policymakers. Here a Computable General Equilibrium model is used to assess the financial effects of such health co-benefits on the wider economy including changes in labour force, social security payments and healthcare costs averted. Results suggest that for all scenarios the financial impacts of the health co-benefits will be positive and increased active travel in particular is likely to make a substantial contribution, largely due to health care costs averted. Strategies to reduce GHG emissions and improve health are likely to result in substantial and increasing positive contributions to the economy which may offset some potential economic costs and thereby be seen more favourably in times of economic austerity

Dietary patterns and non-communicable disease risk in Indian adults: secondary analysis of Indian Migration Study data.

OBJECTIVE: Undernutrition and non-communicable disease (NCD) are important public health issues in India, yet their relationship with dietary patterns is poorly understood. The current study identified distinct dietary patterns and their association with micronutrient undernutrition (Ca, Fe, Zn) and NCD risk factors (underweight, obesity, waist:hip ratio, hypertension, total:HDL cholesterol, diabetes). DESIGN: Data were from the cross-sectional Indian Migration Study, including semi-quantitative FFQ. Distinct dietary patterns were identified using finite mixture modelling; associations with NCD risk factors were assessed using mixed-effects logistic regression models. SETTING: India. SUBJECTS: Migrant factory workers, their rural-dwelling siblings and urban non-migrants. Participants (7067 adults) resided mainly in Karnataka, Andhra Pradesh, Maharashtra and Uttar Pradesh. RESULTS: Five distinct, regionally distributed, dietary patterns were identified, with rice-based patterns in the south and wheat-based patterns in the north-west. A rice-based pattern characterised by low energy consumption and dietary diversity ('Rice & low diversity') was consumed predominantly by adults with little formal education in rural settings, while a rice-based pattern with high fruit consumption ('Rice & fruit') was consumed by more educated adults in urban settings. Dietary patterns met WHO macronutrient recommendations, but some had low micronutrient contents. Dietary pattern membership was associated with several NCD risk factors. CONCLUSIONS: Five distinct dietary patterns were identified, supporting sub-national assessments of the implications of dietary patterns for various health, food system or environment outcomes

Interpreting the Global Enteric Multicenter Study (GEMS) Findings on Sanitation, Hygiene, and Diarrhea

Sanitation and hygiene are global concerns, as reflected in international development and human rights policy . The Sustainable Development Goals (SDGs) include target 6.2: to “achieve access to adequate and equitable sanitation and hygiene for all and end open defecation”. Globally, about 2.5 billion people do not use improved sanitation, of whom 1 billion defecate in the open. Fecal contamination of the environment and poor handwashing are responsible for an estimated 577,000 deaths annually. This is likely an underestimation: there is emerging evidence that poor sanitation and hygiene contribute to undernutrition and could be responsible for approximately half of all child stunting. Much of the health impact of inadequate sanitation and hygiene is attributed to diarrheal disease and its secondary effects. However, diarrhea is difficult to measure, and sanitation and hygiene are difficult to link to health outcomes

Open defecation and childhood stunting in India: an ecological analysis of new data from 112 districts.

Poor sanitation remains a major public health concern linked to several important health outcomes; emerging evidence indicates a link to childhood stunting. In India over half of the population defecates in the open; the prevalence of stunting remains very high. Recently published data on levels of stunting in 112 districts of India provide an opportunity to explore the relationship between levels of open defecation and stunting within this population. We conducted an ecological regression analysis to assess the association between the prevalence of open defecation and stunting after adjustment for potential confounding factors. Data from the 2011 HUNGaMA survey was used for the outcome of interest, stunting; data from the 2011 Indian Census for the same districts was used for the exposure of interest, open defecation. After adjustment for various potential confounding factors--including socio-economic status, maternal education and calorie availability--a 10 percent increase in open defecation was associated with a 0.7 percentage point increase in both stunting and severe stunting. Differences in open defecation can statistically account for 35 to 55 percent of the average difference in stunting between districts identified as low-performing and high-performing in the HUNGaMA data. In addition, using a Monte Carlo simulation, we explored the effect on statistical power of the common practice of dichotomizing continuous height data into binary stunting indicators. Our simulation showed that dichotomization of height sacrifices statistical power, suggesting that our estimate of the association between open defecation and stunting may be a lower bound. Whilst our analysis is ecological and therefore vulnerable to residual confounding, these findings use the most recently collected large-scale data from India to add to a growing body of suggestive evidence for an effect of poor sanitation on human growth. New intervention studies, currently underway, may shed more light on this important issue

Mapping global research on climate and health using machine learning (a systematic evidence map)

Climate change is already affecting health in populations around the world, threatening to undermine the past 50 years of global gains in public health. Health is not only affected by climate change via many causal pathways, but also by the emissions that drive climate change and their co-pollutants. Yet there has been relatively limited synthesis of key insights and trends at a global scale across fragmented disciplines. Compounding this, an exponentially increasing literature means that conventional evidence synthesis methods are no longer sufficient or feasible. Here, we outline a protocol using machine learning approaches to systematically synthesize global evidence on the relationship between climate change, climate variability, and weather (CCVW) and human health. We will use supervised machine learning to screen over 300,000 scientific articles, combining terms related to CCVW and human health. Our inclusion criteria comprise articles published between 2013 and 2020 that focus on empirical assessment of: CCVW impacts on human health or health-related outcomes or health systems; relate to the health impacts of mitigation strategies; or focus on adaptation strategies to the health impacts of climate change. We will use supervised machine learning (topic modeling) to categorize included articles as relevant to impacts, mitigation, and/or adaptation, and extract geographical location of studies. Unsupervised machine learning using topic modeling will be used to identify and map key topics in the literature on climate and health, with outputs including evidence heat maps, geographic maps, and narrative synthesis of trends in climate-health publishing. To our knowledge, this will represent the first comprehensive, semi-automated, systematic evidence synthesis of the scientific literature on climate and health

Effectiveness of communication campaign on iron deficiency anemia in Kyzyl-Orda region, Kazakhstan: a pilot study

<p>Abstract</p> <p>Background</p> <p>In 2004, wheat flour fortification (WFF) with iron was implemented in Kazakhstan as a public health strategy to increase the iron intake of all women of childbearing age and of children. In 2003, before starting the flour fortification program, a communication campaign on health education took place in a region with a high prevalence of iron deficiency anemia (IDA). The present study aimed to evaluate the prevalence of anemia, iron deficiency and IDA before and after the campaign. In addition, knowledge about IDA and its prevention, as well as awareness about fortified wheat flour, was assessed.</p> <p>Methods</p> <p>The subjects of the study were women aged 15-49 years and children aged 2-14 years. The study was carried out in urban and rural areas of Kyzyl-Orda region in 2003 before (March) and after (December) the campaign. Blood samples were collected in order to measure hemoglobin and serum ferritin. In March 80 women and 57 children in the urban area, and 41 women and 41 children in the rural area, participated in the IDA testing. The corresponding participants in December numbered 62, 52, 52, and 57, respectively. The impacts of the communications and information received by participants during the campaign was surveyed with a questionnaire for 195 women in March and 198 women in December including some who participated in the IDA testing.</p> <p>Results</p> <p>In March, the prevalence of anemia was 52.0% among 121 women and 58.1% among 98 children, and those with low iron reserve were 63.6%, 49.1% and IDA 40.5%, 11.0%, respectively. In December, the prevalence of anemia had significantly decreased among rural women (from 65.9% to 48.0%, p < 0.05) and among urban children (from 63.1% to 11.5%, p < 0.001). The prevalence of iron deficiency was significantly reduced among the children (from 51.1% to 24.8%, p < 0.001). IDA prevalence was meaningfully decreased among women in urban and combined areas (from 37.5% to 15.0% and 40.5 to 14.8%, respectively, p < 0.001) and among urban children (from 7.1% to 2.1%, p < 0.05). The surveys found that most women knew about IDA and its prevention and that the numbers were similar both in March and in December. The knowledge of the anti-anemic effect of wheat fortified flour improved significantly over the period of the campaign among women both in urban (from 48.5% to 80.9%, p < 0.001) and rural (from 69.8% to 88.6%, p < 0.001) areas.</p> <p>Conclusion</p> <p>The study demonstrated that the communication campaign before implementation of WFF program was effectively carried out, giving a biological impact on hematological indices.</p