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      Gender-Specific Prevalence of Risk Factors for Non-Communicable Diseases by Health Service Use among Schoolteachers in Afghanistan

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          Summary

          Objectives of this study were: (1) to examine gender differences in biomedical indicators, lifestyle behaviors, self-health check practices, receipt of professional non-communicable disease (NCD)-related lifestyle advice, and the use of health services among teachers in Afghanistan; and (2) to seek the patterns of these indicators among users and non-users of health services among both male and female teachers. This cross-sectional study was carried out among 600 schoolteachers in Kabul city in February 2017. Gender differences in percentage distributions of abnormal biomedical indicators, lifestyle behaviors, self-health check practices, and receipt of professional lifestyle advice were examined. These patterns were further analyzed according to the use of health services in the previous 12 months by both genders. The results showed that male teachers had a higher prevalence of hypertension, increased serum triglycerides, physically active lifestyle, and tobacco use than female teachers (28.2/20.4, p = 0.038; 47.0/37.9, p = 0.040; 54.3/40.9, p = 0.002; 15.8/0.7, p < 0.001, respectively); female teachers had a higher prevalence of increased serum LDL cholesterol, overweight/obesity, and frequent consumption of fruits/vegetables than male teachers (61.3/50.8, p = 0.018; 64.7/43.5, p < 0.001; 71.4/53.8, p < 0.001, respectively). Female teachers were more likely to receive professional lifestyle advice related to NCDs than male teachers. Although users of health services practiced self-health checks and received professional lifestyle advice more frequently than non-users, abnormal biomedical indicators were similarly shown among users and non-users of health services in both genders. In conclusion, high prevalence of abnormal biomedical indicators was indicated in both male and female teachers, although the specific abnormal biomedical indicators differed by gender. Users and non-users of health services presented a similar prevalence of these abnormal indicators. Understanding the differences in patterns of NCD risk factors is essential when developing gender-informed policies.

          Abstract

          Objectives of this study were: (1) to examine gender differences in biomedical indicators, lifestyle behaviors, self-health check practices, receipt of professional non-communicable disease (NCD)-related lifestyle advice, and the use of health services among teachers in Afghanistan; and (2) to seek the patterns of these indicators among users and non-users of health services among both male and female teachers. This cross-sectional study was carried out among 600 schoolteachers in Kabul city in February 2017. Gender differences in percentage distributions of abnormal biomedical indicators, lifestyle behaviors, self-health check practices, and receipt of professional lifestyle advice were examined. These patterns were further analyzed according to the use of health services in the previous 12 months by both genders. The results showed that male teachers had a higher prevalence of hypertension, increased serum triglycerides, physically active lifestyle, and tobacco use than female teachers (28.2/20.4, p = 0.038; 47.0/37.9, p = 0.040; 54.3/40.9, p = 0.002; 15.8/0.7, p < 0.001, respectively); female teachers had a higher prevalence of increased serum LDL cholesterol, overweight/obesity, and frequent consumption of fruits/vegetables than male teachers (61.3/50.8, p = 0.018; 64.7/43.5, p < 0.001; 71.4/53.8, p < 0.001, respectively). Female teachers were more likely to receive professional lifestyle advice related to NCDs than male teachers. Although users of health services practiced self-health checks and received professional lifestyle advice more frequently than non-users, abnormal biomedical indicators were similarly shown among users and non-users of health services in both genders. In conclusion, high prevalence of abnormal biomedical indicators was indicated in both male and female teachers, although the specific abnormal biomedical indicators differed by gender. Users and non-users of health services presented a similar prevalence of these abnormal indicators. Understanding the differences in patterns of NCD risk factors is essential when developing gender-informed policies.

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          Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

          Summary Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51–12·1) deaths (19·2% [16·9–21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12–9·31) deaths (15·4% [14·6–16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253–350) DALYs (11·6% [10·3–13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0–9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10–24 years, alcohol use for those aged 25–49 years, and high systolic blood pressure for those aged 50–74 years and 75 years and older. Interpretation Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Funding Bill & Melinda Gates Foundation.
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            Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants

            Insufficient physical activity is a leading risk factor for non-communicable diseases, and has a negative effect on mental health and quality of life. We describe levels of insufficient physical activity across countries, and estimate global and regional trends.
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              Use of mass media campaigns to change health behaviour.

              Mass media campaigns are widely used to expose high proportions of large populations to messages through routine uses of existing media, such as television, radio, and newspapers. Exposure to such messages is, therefore, generally passive. Such campaigns are frequently competing with factors, such as pervasive product marketing, powerful social norms, and behaviours driven by addiction or habit. In this Review we discuss the outcomes of mass media campaigns in the context of various health-risk behaviours (eg, use of tobacco, alcohol, and other drugs, heart disease risk factors, sex-related behaviours, road safety, cancer screening and prevention, child survival, and organ or blood donation). We conclude that mass media campaigns can produce positive changes or prevent negative changes in health-related behaviours across large populations. We assess what contributes to these outcomes, such as concurrent availability of required services and products, availability of community-based programmes, and policies that support behaviour change. Finally, we propose areas for improvement, such as investment in longer better-funded campaigns to achieve adequate population exposure to media messages. Copyright © 2010 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                26 May 2021
                June 2021
                : 18
                : 11
                : 5729
                Affiliations
                [1 ]Department of Global Health Entrepreneurship, Division of Public Health, Tokyo Medical and Dental University, Tokyo 113-8519, Japan; alemi.ith@ 123456tmd.ac.jp (S.A.); dr.arab03@ 123456yahoo.com (A.S.A.); ytashi.ith@ 123456tmd.ac.jp (Y.T.); seino.ith@ 123456tmd.ac.jp (K.S.)
                [2 ]French Medical Institute for Mothers and Children (FMIC), Kabul 1011, Afghanistan; omer_mashal@ 123456yahoo.com
                [3 ]Ministry of Public Health, Kabul 1002, Afghanistan; shafiqullahhemat8@ 123456gmail.com
                Author notes
                Author information
                https://orcid.org/0000-0002-4530-8565
                https://orcid.org/0000-0002-9119-4730
                Article
                ijerph-18-05729
                10.3390/ijerph18115729
                8198773
                34073621
                1e43ac32-37bc-4b44-a8a6-d2a3f2aff70f
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 10 April 2021
                : 19 May 2021
                Categories
                Article

                Public health
                biomedical indicators,non-communicable diseases,female teachers,lifestyle behaviors

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