Displaying publications 1 - 20 of 95 in total

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  1. Ding CH, Ismail Z, Sulong A, Wahab AA, Gan B, Mustakim S, et al.
    Malays J Pathol, 2020 Dec;42(3):401-407.
    PMID: 33361721
    INTRODUCTION: Rifampicin is a key first-line antimycobacterial agent employed for the treatment of pulmonary tuberculosis (PTB). This study sought to obtain prevalence data on rifampicin-resistant Mycobacterium tuberculosis among smear-positive PTB patients in the Klang District of Malaysia.

    MATERIALS AND METHODS: A total of 103 patients from the Chest Clinic of Hospital Tengku Ampuan Rahimah with sputum smears positive for acid-fast bacilli were included in this cross-sectional study. All sputa were tested using Xpert MTB/RIF to confirm the presence of M. tuberculosis complex and detect rifampicin resistance. Sputa were also sent to a respiratory medicine institute for mycobacterial culture. Positive cultures were then submitted to a reference laboratory, where isolates identified as M. tuberculosis complex underwent drug susceptibility testing (DST).

    RESULTS: A total of 58 (56.3%) patients were newly diagnosed and 45 (43.7%) patients were previously treated. Xpert MTB/RIF was able to detect rifampicin resistance with a sensitivity and specificity of 87.5% and 98.9%, respectively. Assuming that a single resistant result from Xpert MTB/RIF or any DST method was sufficient to denote resistance, a total of 8/103 patients had rifampicinresistant M. tuberculosis. All eight patients were previously treated for PTB (p<0.05). The overall prevalence of rifampicin resistance among smear-positive PTB patients was 7.8%, although it was 17.8% among the previously treated ones.

    CONCLUSION: The local prevalence of rifampicin-resistant M. tuberculosis was particularly high among previously treated patients. Xpert MTB/RIF can be employed in urban district health facilities not only to diagnose PTB in smear-positive patients, but also to detect rifampicin resistance with good sensitivity and specificity.

    Matched MeSH terms: Urban Health Services
  2. Cameron NA, Molsberry R, Pierce JB, Perak AM, Grobman WA, Allen NB, et al.
    J Am Coll Cardiol, 2020 12 01;76(22):2611-2619.
    PMID: 33183896 DOI: 10.1016/j.jacc.2020.09.601
    BACKGROUND: Rates of maternal mortality are increasing in the United States with significant rural-urban disparities. Pre-pregnancy hypertension is a well-established risk factor for adverse maternal and offspring outcomes.

    OBJECTIVES: The purpose of this study was to describe trends in maternal pre-pregnancy hypertension among women in rural and urban areas in 2007 to 2018 in order to inform community-engaged prevention and policy strategies.

    METHODS: We performed a nationwide, serial cross-sectional study using maternal data from all live births in women age 15 to 44 years between 2007 and 2018 (CDC Natality Database). Rates of pre-pregnancy hypertension were calculated per 1,000 live births overall and by urbanization status. Subgroup analysis in standard 5-year age categories was performed. We quantified average annual percentage change using Joinpoint Regression and rate ratios (95% confidence intervals [CIs]) to compare yearly rates between rural and urban areas.

    RESULTS: Among 47,949,381 live births to women between 2007 and 2018, rates of pre-pregnancy hypertension per 1,000 live births increased among both rural (13.7 to 23.7) and urban women (10.5 to 20.0). Two significant inflection points were identified in 2010 and 2016, with highest annual percentage changes between 2016 and 2018 in rural and urban areas. Although absolute rates were lower in younger compared with older women in both rural and urban areas, all age groups experienced similar increases. The rate ratios of pre-pregnancy hypertension in rural compared with urban women ranged from 1.18 (95% CI: 1.04 to 1.35) for ages 15 to 19 years to 1.51 (95% CI: 1.39 to 1.64) for ages 40 to 44 years in 2018.

    CONCLUSIONS: Maternal burden of pre-pregnancy hypertension has nearly doubled in the past decade and the rural-urban gap has persisted.

    Matched MeSH terms: Urban Health/statistics & numerical data*
  3. Normaz Wana Ismail, Sudha Sivadas
    MyJurnal
    Introduction: Urbanisation is a key determinant of population health. Malaysia’s exemplary economic growth in the early 1990s and the consequent development and urbanisation led to significant changes in health, lifestyle and quality of life. Rising expectations, changing demographics and nutrition and disease transitions were challenges synonymous to an increasingly urban Malaysia. As the Government targets optimal population health, this paper aims to explore one of the many challenges of urbanisation, namely the prevalence of non-communicable diseases or NCDs. For the purpose of this paper, NCD is proxied by Diabetes Mellitus. Methods: This study is based the 2015 National Health and Morbidity Survey, which is a cross-sectional population-based survey, involving 30,000 re- spondents. Given the binomial nature of the survey variables, the multinomial Probit model was employed using the STATA statistical software. Results: Generally, age, gender and race are significant in determining health outcomes. Socioeconomically, all three variables of income, education and employment are significant. For lifestyle factors, findings show that only the weight and physically active status have a role in determining health outcomes. Finally, the urban variable is also positive and significant. Conclusion: Findings show that the prevalence of Diabetes Melli- tus, is rising along with urbanisation and that there is a health penalty for the urban population and also for those who do not embrace healthy lifestyles. Additionally, other factors are equally important as urban health determinants, encompassing both the demographic and socioeconomic factors.
    Matched MeSH terms: Urban Health
  4. Bartlett AW, Lumbiganon P, Jamal Mohamed TA, Lapphra K, Muktiarti D, Du QT, et al.
    J Acquir Immune Defic Syndr, 2019 12 15;82(5):431-438.
    PMID: 31714422 DOI: 10.1097/QAI.0000000000002184
    BACKGROUND: Perinatally HIV-infected adolescents (PHIVA) are an expanding population vulnerable to loss to follow-up (LTFU). Understanding the epidemiology and factors for LTFU is complicated by varying LTFU definitions.

    SETTING: Asian regional cohort incorporating 16 pediatric HIV services across 6 countries.

    METHODS: Data from PHIVA (aged 10-19 years) who received combination antiretroviral therapy 2007-2016 were used to analyze LTFU through (1) an International epidemiology Databases to Evaluate AIDS (IeDEA) method that determined LTFU as >90 days late for an estimated next scheduled appointment without returning to care and (2) the absence of patient-level data for >365 days before the last data transfer from clinic sites. Descriptive analyses and competing-risk survival and regression analyses were used to evaluate LTFU epidemiology and associated factors when analyzed using each method.

    RESULTS: Of 3509 included PHIVA, 275 (7.8%) met IeDEA and 149 (4.3%) met 365-day absence LTFU criteria. Cumulative incidence of LTFU was 19.9% and 11.8% using IeDEA and 365-day absence criteria, respectively. Risk factors for LTFU across both criteria included the following: age at combination antiretroviral therapy initiation <5 years compared with age ≥5 years, rural clinic settings compared with urban clinic settings, and high viral loads compared with undetectable viral loads. Age 10-14 years compared with age 15-19 years was another risk factor identified using 365-day absence criteria but not IeDEA LTFU criteria.

    CONCLUSIONS: Between 12% and 20% of PHIVA were determined LTFU with treatment fatigue and rural treatment settings consistent risk factors. Better tracking of adolescents is required to provide a definitive understanding of LTFU and optimize evidence-based models of care.

    Matched MeSH terms: Urban Health Services/statistics & numerical data
  5. Saidi S, Milnes LJ, Griffiths J
    Enferm Clin, 2019 09;29 Suppl 2:691-697.
    PMID: 31300296 DOI: 10.1016/j.enfcli.2019.04.106
    OBJECTIVE: The purpose of this study is to explore the self-care support provision for patients with type 2 diabetes by diabetes educators and to explore the challenges that they encountered in providing the intended services.

    METHODS: Single embedded qualitative case study design using in-depth individual face to face interviews were adopted. Twelve diabetes educators from three diabetes clinics in urban areas in Malaysia were purposively selected and interviewed within the period of eight months (November 2012-June 2013). The data were transcribed verbatim and analyzed using Framework technique.

    RESULT: The practice of diabetes educators revolved around the traditional paternalistic approach but emphasize on individualized support. However, their practice was restricted by several factors, including patients' acceptance and interest in self-care, lack of confidence and opportunity to practice, and fragmented health care system.

    CONCLUSION: The current practice of diabetes educators is very limited to knowledge provision and rather a generalist. Considering a more specialized role would increase opportunities for diabetes educators to provide high-quality self-care support provision.

    Matched MeSH terms: Urban Health
  6. Thomson DR, Linard C, Vanhuysse S, Steele JE, Shimoni M, Siri J, et al.
    J Urban Health, 2019 08;96(4):514-536.
    PMID: 31214975 DOI: 10.1007/s11524-019-00363-3
    Area-level indicators of the determinants of health are vital to plan and monitor progress toward targets such as the Sustainable Development Goals (SDGs). Tools such as the Urban Health Equity Assessment and Response Tool (Urban HEART) and UN-Habitat Urban Inequities Surveys identify dozens of area-level health determinant indicators that decision-makers can use to track and attempt to address population health burdens and inequalities. However, questions remain as to how such indicators can be measured in a cost-effective way. Area-level health determinants reflect the physical, ecological, and social environments that influence health outcomes at community and societal levels, and include, among others, access to quality health facilities, safe parks, and other urban services, traffic density, level of informality, level of air pollution, degree of social exclusion, and extent of social networks. The identification and disaggregation of indicators is necessarily constrained by which datasets are available. Typically, these include household- and individual-level survey, census, administrative, and health system data. However, continued advancements in earth observation (EO), geographical information system (GIS), and mobile technologies mean that new sources of area-level health determinant indicators derived from satellite imagery, aggregated anonymized mobile phone data, and other sources are also becoming available at granular geographic scale. Not only can these data be used to directly calculate neighborhood- and city-level indicators, they can be combined with survey, census, administrative and health system data to model household- and individual-level outcomes (e.g., population density, household wealth) with tremendous detail and accuracy. WorldPop and the Demographic and Health Surveys (DHS) have already modeled dozens of household survey indicators at country or continental scales at resolutions of 1 × 1 km or even smaller. This paper aims to broaden perceptions about which types of datasets are available for health and development decision-making. For data scientists, we flag area-level indicators at city and sub-city scales identified by health decision-makers in the SDGs, Urban HEART, and other initiatives. For local health decision-makers, we summarize a menu of new datasets that can be feasibly generated from EO, mobile phone, and other spatial data-ideally to be made free and publicly available-and offer lay descriptions of some of the difficulties in generating such data products.
    Matched MeSH terms: Urban Health/statistics & numerical data*
  7. Diez Roux AV, Slesinski SC, Alazraqui M, Caiaffa WT, Frenz P, Jordán Fuchs R, et al.
    Glob Chall, 2019 Apr;3(4):1800013.
    PMID: 31565372 DOI: 10.1002/gch2.201800013
    This article describes the origins and characteristics of an interdisciplinary multinational collaboration aimed at promoting and disseminating actionable evidence on the drivers of health in cities in Latin America and the Caribbean: The Network for Urban Health in Latin America and the Caribbean and the Wellcome Trust funded SALURBAL (Salud Urbana en América Latina, or Urban Health in Latin America) Project. Both initiatives have the goals of supporting urban policies that promote health and health equity in cities of the region while at the same time generating generalizable knowledge for urban areas across the globe. The processes, challenges, as well as the lessons learned to date in launching and implementing these collaborations, are described. By leveraging the unique features of the Latin American region (one of the most urbanized areas of the world with some of the most innovative urban policies), the aim is to produce generalizable knowledge about the links between urbanization, health, and environments and to identify effective ways to organize, design, and govern cities to improve health, reduce health inequalities, and maximize environmental sustainability in cities all over the world.
    Matched MeSH terms: Urban Health
  8. Su TT, Azzani M, Adewale AP, Thangiah N, Zainol R, Majid H
    J Epidemiol, 2019 Feb 05;29(2):43-49.
    PMID: 29962493 DOI: 10.2188/jea.JE20170183
    BACKGROUND: The aim of this research is to assess the level of physical activity (PA) in relation to different socio-economic factors and to examine the effect of the recommended level of PA on the domains of quality of life (QoL) among residents of low-income housing in the metropolitan area of Kuala Lumpur, Malaysia.

    METHODS: This was a cross-sectional study that included 680 respondents from community housing projects. Reported PA was assessed using the Global Physical Activity Questionnaire (GPAQ) short form version 2. The SF-12v2 was administered to assess the health-related QoL (HRQoL) among the study population. Respondents were grouped into "active" and "insufficient" groups according to reported weekly PA level. One-way analysis of variance, analysis of co-variance, and multiple linear regression were used in the analysis.

    RESULTS: Overall, 17.6% (95% CI, 14.3-20.9) of the respondents did not achieve the recommended levels of PA (≥600 metabolic equivalent [MET]-minutes week-1). Level of achieving recommended PA was higher among younger participants, females, members belonging to nuclear families, and in self-employed participants. The group that fulfilled recommended PA levels (active) has higher levels of QoL in all domains except physical functioning.

    CONCLUSIONS: Almost one out of five low-income urban residents were physically inactive. In addition, individuals who attained recommended PA levels had better scores on some domains of HRQOL than those who did not. Our findings call for tailor-made public health interventions to improve PA levels among the general population and particularly for low-income residents.
    Matched MeSH terms: Urban Health/statistics & numerical data
  9. Mudway IS, Dundas I, Wood HE, Marlin N, Jamaludin JB, Bremner SA, et al.
    Lancet Public Health, 2019 Jan;4(1):e28-e40.
    PMID: 30448150 DOI: 10.1016/S2468-2667(18)30202-0
    BACKGROUND: Low emission zones (LEZ) are an increasingly common, but unevaluated, intervention aimed at improving urban air quality and public health. We investigated the impact of London's LEZ on air quality and children's respiratory health.

    METHODS: We did a sequential annual cross-sectional study of 2164 children aged 8-9 years attending primary schools between 2009-10 and 2013-14 in central London, UK, following the introduction of London's LEZ in February, 2008. We examined the association between modelled pollutant exposures of nitrogen oxides (including nitrogen dioxide [NO2]) and particulate matter with a diameter of less than 2·5 μm (PM2·5) and less than 10 μm (PM10) and lung function: postbronchodilator forced expiratory volume in 1 s (FEV1, primary outcome), forced vital capacity (FVC), and respiratory or allergic symptoms. We assigned annual exposures by each child's home and school address, as well as spatially resolved estimates for the 3 h (0600-0900 h), 24 h, and 7 days before each child's assessment, to isolate long-term from short-term effects.

    FINDINGS: The percentage of children living at addresses exceeding the EU limit value for annual NO2 (40 μg/m3) fell from 99% (444/450) in 2009 to 34% (150/441) in 2013. Over this period, we identified a reduction in NO2 at both roadside (median -1·35 μg/m3 per year; 95% CI -2·09 to -0·61; p=0·0004) and background locations (-0·97; -1·56 to -0·38; p=0·0013), but not for PM10. The effect on PM2·5 was equivocal. We found no association between postbronchodilator FEV1 and annual residential pollutant attributions. By contrast, FVC was inversely correlated with annual NO2 (-0·0023 L/μg per m3; -0·0044 to -0·0002; p=0·033) and PM10 (-0·0090 L/μg per m3; -0·0175 to -0·0005; p=0·038).

    INTERPRETATION: Within London's LEZ, a smaller lung volume in children was associated with higher annual air pollutant exposures. We found no evidence of a reduction in the proportion of children with small lungs over this period, despite small improvements in air quality in highly polluted urban areas during the implementation of London's LEZ. Interventions that deliver larger reductions in emissions might yield improvements in children's health.

    FUNDING: National Institute for Health Research Biomedical Research Centre at Guy's and St Thomas' National Health Service (NHS) Foundation Trust and King's College London, NHS Hackney, Lee Him donation, and Felicity Wilde Charitable Trust.

    Matched MeSH terms: Urban Health/statistics & numerical data
  10. Yang J, Siri JG, Remais JV, Cheng Q, Zhang H, Chan KKY, et al.
    Lancet, 2018 05 26;391(10135):2140-2184.
    PMID: 29678340 DOI: 10.1016/S0140-6736(18)30486-0
    Matched MeSH terms: Urban Health*
  11. Azmoude E, Aradmehr M, Dehghani F
    Malays J Med Sci, 2018 May;25(3):120-128.
    PMID: 30899193 DOI: 10.21315/mjms2018.25.3.12
    Objectives: Midwives have a crucial role in providing optimal care for pregnant women. One of the most important policies for quality improvement in maternity care is implementation of evidence-based practice. However, the application of evidence-based practice within the maternity health care setting faces many challenges. The purpose of this study was to describe Iranian midwives' attitude and perceived barriers of evidence based practice in maternity care.

    Methods: In this descriptive, cross-sectional study, a census sample of 76 midwives from two public hospitals and urban health centers in Torbat Heydariyeh, a city east of Iran were surveyed. Data collection tools were two reliable and valid questionnaires that measure midwives' attitudes and barriers of implementation of evidence-based practice. Data were analysed using SPSS version 16.

    Results: The mean age and years of experience were 29.30 ± 4.86 and 5.22 ± 4.21 years, respectively. The mean score of attitude was 40.85 ± 4.84 (range = 30-60). This study also found time constraints (2.70 ± 0.92), inadequate facilities (2.64 ± 0.72), non-compilation of literature in one place (2.59 ± 0.92), lack of cooperation of physicians (2.48 ± 1.06) and the feeling of inadequate authority (2.45 ± 0.88) as the top five barriers to implementing EBP.

    Conclusion: Survey participants demonstrated a positive attitude toward EBP. Organisational comprehensive strategies such as time efficiency, adequate material and human resources, familiarity with organisations such as the Cochrane Collaboration and managerial support for increasing professional legitimate authority are recommended to promote the use of Evidence-Based Practice in Iran.

    Matched MeSH terms: Urban Health
  12. International Institute for Global Health, United Nations University, Kuala Lumpur, Malaysia
    Health Promot Int, 2018 Feb 01;33(1):149-151.
    PMID: 27368235 DOI: 10.1093/heapro/daw046
    This statement was commissioned by the UNU International Institute for Global Health in the run up to Habitat III-the third United Nations conference on housing and sustainable urban development. The statement draws on insights from the World Urban Campaign thinkers campus held during 24-27 January 2016 in Kuching, a WHO-designated healthy city.
    Matched MeSH terms: Urban Health*
  13. Kwan Z, Wong SM, Robinson S, Tan LL, Ismail R
    Australas J Dermatol, 2017 Nov;58(4):e267-e268.
    PMID: 28660702 DOI: 10.1111/ajd.12541
    Matched MeSH terms: Urban Health Services/statistics & numerical data*
  14. Lawrence RJ, Gatzweiler FW
    J Urban Health, 2017 08;94(4):592-596.
    PMID: 28695402 DOI: 10.1007/s11524-017-0182-x
    The current disconnection between access to increasing amounts of data about urbanization, health, and other global changes and the conflicting meanings and values of that data has created uncertainty and reduced the ability of people to act upon available information which they do not necessarily understand. We see a disconnection between increasing data availability and data processing capability and capacity. In response to this disconnection, modeling has been attributed an important role in international and national research programs in order to predict the future based on past and recent trends. Predictive models are often data heavy and founded on assumptions which are difficult to verify, especially regarding urban health issues in specific contexts. Producing large volumes of data warrants debate about what data are prerequisites for better understanding human health in changing urban environments. Another concern is how data and information can be used to apply knowledge. Making sense of empirical knowledge requires a new transdisciplinary knowledge domain created by a commitment to convergence between researchers in multiple academic disciplines and other actors and institutions in cities. Disciplinary-based researchers are no longer the sole producers of empirical knowledge. Today, diverse kinds of knowledge are becoming an emergent product of multiple societal stakeholders acting collectively to address challenges that impact on their habitat, their livelihood, and their health. Insights from complexity science also require a fundamental rethinking of the role and responsibility of human agency while admitting rather than denying complexity and radical uncertainty.
    Matched MeSH terms: Urban Health*
  15. Puppim de Oliveira JA, Doll CN
    Environ Int, 2016 12;97:146-154.
    PMID: 27665118 DOI: 10.1016/j.envint.2016.08.020
    Health has been the main driver for many urban environmental interventions, particularly in cases of significant health problems linked to poor urban environmental conditions. This paper examines empirically the links between climate change mitigation and health in urban areas, when health is the main driver for improvements. The paper aims to understand how systems of urban governance can enable or prevent the creation of health outcomes via continuous improvements in the environmental conditions in a city. The research draws on cases from two Indian cities where initiatives were undertaken in different sectors: Surat (waste) and Delhi (transportation). Using the literature on network effectiveness as an analytical framework, the paper compares the cases to identify the possible ways to strengthen the governance and policy making process in the urban system so that each intervention can intentionally realize multiple impacts for both local health and climate change mitigation in the long term as well as factors that may pose a threat to long-term progress and revert back to the previous situation after initial achievements.
    Matched MeSH terms: Urban Health*
  16. Newell B, Siri J
    Environ Int, 2016 10;95:93-7.
    PMID: 27553880 DOI: 10.1016/j.envint.2016.08.003
    Cities are complex adaptive systems whose responses to policy initiatives emerge from feedback interactions between their parts. Urban policy makers must routinely deal with both detail and dynamic complexity, coupled with high levels of diversity, uncertainty and contingency. In such circumstances, it is difficult to generate reliable predictions of health-policy outcomes. In this paper we explore the potential for low-order system dynamics (LOSD) models to make a contribution towards meeting this challenge. By definition, LOSD models have few state variables (≤5), illustrate the non-linear effects caused by feedback and accumulation, and focus on endogenous dynamics generated within well-defined boundaries. We suggest that experience with LOSD models can help practitioners to develop an understanding of basic principles of system dynamics, giving them the ability to 'see with new eyes'. Because efforts to build a set of LOSD models can help a transdisciplinary group to develop a shared, coherent view of the problems that they seek to tackle, such models can also become the foundations of 'powerful ideas'. Powerful ideas are conceptual metaphors that provide the members of a policy-making group with the a priori shared context required for effective communication, the co-production of knowledge, and the collaborative development of effective public health policies.
    Matched MeSH terms: Urban Health*
  17. Chapman R, Howden-Chapman P, Capon A
    Environ Int, 2016 Sep;94:380-387.
    PMID: 27126780 DOI: 10.1016/j.envint.2016.04.014
    Understanding cities comprehensively as systems is a costly challenge and is typically not feasible for policy makers. Nevertheless, focusing on some key systemic characteristics of cities can give useful insights for policy to advance health and well-being outcomes. Moreover, if we take a coevolutionary systems view of cities, some conventional assumptions about the nature of urban development (e.g. the growth in private vehicle use with income) may not stand up. We illustrate this by examining the coevolution of urban transport and land use systems, and institutional change, giving examples of policy implications. At a high level, our concern derives from the need to better understand the dynamics of urban change, and its implications for health and well-being. At a practical level, we see opportunities to use stylised findings about urban systems to underpin policy experiments. While it is now not uncommon to view cities as systems, policy makers appear to have made little use so far of a systems approach to inform choice of policies with consequences for health and well-being. System insights can be applied to intelligently anticipate change - for example, as cities are subjected to increasing natural system reactions to climate change, they must find ways to mitigate and adapt to it. Secondly, systems insights around policy cobenefits are vital for better informing horizontal policy integration. Lastly, an implication of system complexity is that rather than seeking detailed, 'full' knowledge about urban issues and policies, cities would be well advised to engage in policy experimentation to address increasingly urgent health and climate change issues.
    Matched MeSH terms: Urban Health*
  18. Majid HA, Amiri M, Mohd Azmi N, Su TT, Jalaludin MY, Al-Sadat N
    Sci Rep, 2016 07 28;6:30544.
    PMID: 27465116 DOI: 10.1038/srep30544
    Insufficient physical activity and growing obesity levels among Malaysian adolescents are becoming a public health concern. Our study is to identify the trends of self-reported physical activity (PA) levels, blood lipid profiles, and body composition (BC) indices from a cohort of 820 adolescents. The self-reported PA was assessed using a validated Malay version of the PA Questionnaire for Older Children (PAQ-C). Fasting blood samples were collected to investigate their lipid profiles. Height, weight, waist and hip circumferences as well as body fat percentage were measured. The baseline and the first follow-up were conducted in 2012 and 2014, respectively. A downward trend in the PA level was seen in all categories with a significant reduction among all rural adolescents (P = 0.013) and more specifically, PA among girls residing in rural areas dropped significantly (P = 0.006). Either a significant reduction in high-density lipoprotein (HDL) or a significant increment in BC indices (i.e., body mass index [BMI], waist circumference [WC], hip circumference, and body fat percentage [BF %]) were seen in this group. Female adolescents experienced more body fat increment with the reduction of physical activity. If not intervened early, adolescents from rural areas may increase their risk of developing cardiovascular diseases earlier.
    Matched MeSH terms: Urban Health
  19. Siri JG, Newell B, Proust K, Capon A
    Asia Pac J Public Health, 2016 Mar;28(2 Suppl):15S-27S.
    PMID: 26219559 DOI: 10.1177/1010539515595694
    Extreme events, both natural and anthropogenic, increasingly affect cities in terms of economic losses and impacts on health and well-being. Most people now live in cities, and Asian cities, in particular, are experiencing growth on unprecedented scales. Meanwhile, the economic and health consequences of climate-related events are worsening, a trend projected to continue. Urbanization, climate change and other geophysical and social forces interact with urban systems in ways that give rise to complex and in many cases synergistic relationships. Such effects may be mediated by location, scale, density, or connectivity, and also involve feedbacks and cascading outcomes. In this context, traditional, siloed, reductionist approaches to understanding and dealing with extreme events are unlikely to be adequate. Systems approaches to mitigation, management and response for extreme events offer a more effective way forward. Well-managed urban systems can decrease risk and increase resilience in the face of such events.
    Matched MeSH terms: Urban Health*
  20. Hassan NA, Hashim Z, Hashim JH
    Asia Pac J Public Health, 2016 Mar;28(2 Suppl):38S-48S.
    PMID: 26141092 DOI: 10.1177/1010539515592951
    This review discusses how climate undergo changes and the effect of climate change on air quality as well as public health. It also covers the inter relationship between climate and air quality. The air quality discussed here are in relation to the 5 criteria pollutants; ozone (O3), carbon dioxide (CO2), nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matter (PM). Urban air pollution is the main concern due to higher anthropogenic activities in urban areas. The implications on health are also discussed. Mitigating measures are presented with the final conclusion.
    Matched MeSH terms: Urban Health/statistics & numerical data*
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