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      Lower socioeconomic status strengthens the effect of cooking fuel use on anemia risk and anemia-related parameters: Findings from the Henan Rural Cohort

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          Abstract

          <p class="first" id="d2950397e150">The established evidence of cooking fuel use and socioeconomic status related to anemia is limited in low- and middle-income countries. The current study aims to examine the independent and combined effects of cooking fuel use and socioeconomic status on anemia risk as well as anemia-related parameters in rural China. A total of 21,050 participants were included from the baseline of the Henan Rural Cohort. Anemia was determined according to the World Health Organization criteria. Data on cooking fuel use (electricity, gas and solid fuel) and socioeconomic status (education and income levels) were collected using a standardized questionnaire by face-to-face interview. Logistic and linear regression models were applied to evaluate the effects of cooking fuel use or socioeconomic indicators on anemia risk, hemoglobin (HGB), red blood count (RBC), and hematocrit (HCT) levels. Using gas or solid fuel for cooking was positively associated with prevalent anemia risk and negatively related to HGB, RBC, and HCT levels compared to using electricity. Significant independent associations were also found between socioeconomic status (education and income levels) and prevalent anemia risk as well as these anemia-related parameters. In general, with decreased socioeconomic status, associations of using gas or solid fuel for cooking with advanced anemia risk as well as lower anemia-related parameters were increased. Furthermore, participants using gas or solid fuel for cooking and with lower education or income level were related to increased high anemia risk as well as low HGB, RBC and HCT levels, compared to those using electricity for cooking and with high education or income level (P &lt;0.05 for all). The finding suggested that lower socioeconomic status strengthens the adverse effect of cooking fuel use on the higher anemia risk and lower HGB, RBC, and HCT levels in rural China. </p>

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          Anaemia in low-income and middle-income countries.

          Anaemia affects a quarter of the global population, including 293 million (47%) children younger than 5 years and 468 million (30%) non-pregnant women. In addition to anaemia's adverse health consequences, the economic effect of anaemia on human capital results in the loss of billions of dollars annually. In this paper, we review the epidemiology, clinical assessment, pathophysiology, and consequences of anaemia in low-income and middle-income countries. Our analysis shows that anaemia is disproportionately concentrated in low socioeconomic groups, and that maternal anaemia is strongly associated with child anaemia. Anaemia has multifactorial causes involving complex interaction between nutrition, infectious diseases, and other factors, and this complexity presents a challenge to effectively address the population determinants of anaemia. Reduction of knowledge gaps in research and policy and improvement of the implementation of effective population-level strategies will help to alleviate the anaemia burden in low-resource settings. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            Anemia in Clinical Practice-Definition and Classification: Does Hemoglobin Change With Aging?

            Anemia is a global public health problem affecting both developing and developed countries at all ages. According to the World Health Organization (WHO), anemia is defined as hemoglobin (Hb) levels <12.0 g/dL in women and <13.0 g/dL in men. However, normal Hb distribution varies not only with sex but also with ethnicity and physiological status. New lower limits of normal Hb values have been proposed, according to ethnicity, gender, and age. Anemia is often multifactorial and is not an independent phenomenon. For the classification and diagnosis the hematologic parameters, the underlying pathological mechanism and patient history should be taken into account. The aging of population, especially in Western countries, causes an increase of anemia in elderly people. In this population, anemia, recently defined by levels of Hb <12 g/dL in both sexes, is mostly of mild degree (10-12 g/dL). Understanding the pathophysiology of anemia in this population is important because it contributes to morbidity and mortality. In one third of the patients, anemia is due to nutritional deficiency, including iron, folate, or vitamin B12 deficiency; moreover, anemia of chronic disease accounts for about another third of the cases. However, in one third of patients anemia cannot be explained by an underlying disease or by a specific pathological process, and for this reason it is defined "unexplained anemia". Unexplained anemia might be due to the progressive resistance of bone marrow erythroid progenitors to erythropoietin, and a chronic subclinical pro-inflammatory state.
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              Adverse health effects associated with household air pollution: a systematic review, meta-analysis, and burden estimation study

              Summary Background 3 billion people worldwide rely on polluting fuels and technologies for domestic cooking and heating. We estimate the global, regional, and national health burden associated with exposure to household air pollution. Methods For the systematic review and meta-analysis, we systematically searched four databases for studies published from database inception to April 2, 2020, that evaluated the risk of adverse cardiorespiratory, paediatric, and maternal outcomes from exposure to household air pollution, compared with no exposure. We used a random-effects model to calculate disease-specific relative risk (RR) meta-estimates. Household air pollution exposure was defined as use of polluting fuels (coal, wood, charcoal, agricultural wastes, animal dung, or kerosene) for household cooking or heating. Temporal trends in mortality and disease burden associated with household air pollution, as measured by disability-adjusted life-years (DALYs), were estimated from 2000 to 2017 using exposure prevalence data from 183 of 193 UN member states. 95% CIs were estimated by propagating uncertainty from the RR meta-estimates, prevalence of household air pollution exposure, and disease-specific mortality and burden estimates using a simulation-based approach. This study is registered with PROSPERO, CRD42019125060. Findings 476 studies (15·5 million participants) from 123 nations (99 [80%] of which were classified as low-income and middle-income) met the inclusion criteria. Household air pollution was positively associated with asthma (RR 1·23, 95% CI 1·11–1·36), acute respiratory infection in both adults (1·53, 1·22–1·93) and children (1·39, 1·29–1·49), chronic obstructive pulmonary disease (1·70, 1·47–1·97), lung cancer (1·69, 1·44–1·98), and tuberculosis (1·26, 1·08–1·48); cerebrovascular disease (1·09, 1·04–1·14) and ischaemic heart disease (1·10, 1·09–1·11); and low birthweight (1·36, 1·19–1·55) and stillbirth (1·22, 1·06–1·41); as well as with under-5 (1·25, 1·18–1·33), respiratory (1·19, 1·18–1·20), and cardiovascular (1·07, 1·04–1·11) mortality. Household air pollution was associated with 1·8 million (95% CI 1·1–2·7) deaths and 60·9 million (34·6–93·3) DALYs in 2017, with the burden overwhelmingly experienced in low-income and middle-income countries (LMICs; 60·8 million [34·6–92·9] DALYs) compared with high-income countries (0·09 million [0·01–0·40] DALYs). From 2000, mortality associated with household air pollution had reduced by 36% (95% CI 29–43) and disease burden by 30% (25–36), with the greatest reductions observed in higher-income nations. Interpretation The burden of cardiorespiratory, paediatric, and maternal diseases associated with household air pollution has declined worldwide but remains high in the world's poorest regions. Urgent integrated health and energy strategies are needed to reduce the adverse health impact of household air pollution, especially in LMICs. Funding British Heart Foundation, Wellcome Trust.
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                Author and article information

                Journal
                Science of The Total Environment
                Science of The Total Environment
                Elsevier BV
                00489697
                July 2022
                July 2022
                : 831
                : 154958
                Article
                10.1016/j.scitotenv.2022.154958
                35367550
                b866371d-f1f0-42d3-8b6f-c578ea3fee6e
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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