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  1. Parthaje PM, Unnikrishnan B, Thankappan KR, Thapar R, Fatt QK, Oldenburg B
    Asia Pac J Public Health, 2016 Jan;28(1 Suppl):93S-101S.
    PMID: 26596285 DOI: 10.1177/1010539515616453
    Prehypertension is one of the most common conditions affecting human beings worldwide. It is associated with several complications including hypertension. The blood pressure between normal and hypertension is prehypertension as per the Seventh Report Joint National Committee (JNC-7) classification. The current study was done to measure the magnitude of prehypertension and to study their sociodemographic correlates in the urban field practice area of Kasturba Medical College, Mangalore, India, among 624 people aged ≥20 years. The measurements of blood pressure were done (JNC 7 criteria) with the anthropometric measurements and lifestyle factors. Data analysis was done using Statistical Package for Social Sciences version 16. Adjusted odds ratios were calculated. Overall, 55% subjects had prehypertension and 30% had hypertension. Prehypertension was higher among males. Those from the higher age groups, those from upper socioeconomic status, obese individuals, and those with lesser physical activity had significantly higher association with prehypertension, and it was least among those who never used tobacco and alcohol.
    Matched MeSH terms: Urban Health/statistics & numerical data*
  2. 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*
  3. 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
  4. Jaafar N, Hakim H, Mohd Nor NA, Mohamed A, Saub R, Esa R, et al.
    BMC Public Health, 2014;14 Suppl 3:S2.
    PMID: 25438162 DOI: 10.1186/1471-2458-14-S3-S2
    The urban low income has often been assumed to have the greatest dental treatment needs compared to the general population. However, no studies have been carried out to verify these assumptions. This study was conducted to assess whether there was any difference between the treatment needs of an urban poor population as compared to the general population in order to design an intervention programme for this community.
    Matched MeSH terms: Urban Health/statistics & numerical data*
  5. 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*
  6. 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
  7. Cameron NA, Molsberry R, Pierce JB, Perak AM, Grobman WA, Allen NB, et al.
    J Am Coll Cardiol, 2020 Dec 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*
  8. Amiri M, Majid HA, Hairi F, Thangiah N, Bulgiba A, Su TT
    BMC Public Health, 2014;14 Suppl 3:S3.
    PMID: 25436515 DOI: 10.1186/1471-2458-14-S3-S3
    Objectives: The objectives are to assess the prevalence and determinants of cardiovascular disease (CVD) risk factors among the residents of Community Housing Projects in metropolitan Kuala Lumpur, Malaysia.
    Method: By using simple random sampling, we selected and surveyed 833 households which comprised of 3,722 individuals. Out of the 2,360 adults, 50.5% participated in blood sampling and anthropometric measurement sessions. Uni and bivariate data analysis and multivariate binary logistic regression were applied to identify demographic and socioeconomic determinants of the existence of having at least one CVD risk factor.
    Results: As a Result, while obesity (54.8%), hypercholesterolemia (51.5%), and hypertension (39.3%) were the most common CVD risk factors among the low-income respondents, smoking (16.3%), diabetes mellitus (7.8%) and alcohol consumption (1.4%) were the least prevalent. Finally, the results from the multivariate binary logistic model illustrated that compared to the Malays, the Indians were 41% less likely to have at least one of the CVD risk factors (OR = 0.59; 95% CI: 0.37 - 0.93).
    Conclusion: In Conclusion, the low-income individuals were at higher risk of developing CVDs. Prospective policies addressing preventive actions and increased awareness focusing on low-income communities are highly recommended and to consider age, gender, ethnic backgrounds, and occupation classes.
    Matched MeSH terms: Urban Health/statistics & numerical data*
  9. Esa R, Ong AL, Humphris G, Freeman R
    BMC Oral Health, 2014;14:19.
    PMID: 24621226 DOI: 10.1186/1472-6831-14-19
    To investigate the role of geography (place of residence) as a moderator in the relationship between dental caries disease and treatment experience and dental fear in 16-year-olds living in Malaysia.
    Matched MeSH terms: Urban Health/statistics & numerical data
  10. Yusoff N, Jaafar N, Razak IA, Chew YY, Ismail N, Bulgiba AM
    Community Dent Health, 2008 Mar;25(1):55-8.
    PMID: 18435236
    To determine the prevalence, distribution, severity and treatment need of enamel opacities among 11-12 year-old school children in a fluoridated urban community.
    Matched MeSH terms: Urban Health/statistics & numerical data
  11. Hargreaves JA, Matejka JM, Cleaton-Jones PE, Williams S
    ASDC J Dent Child, 1995 Sep-Oct;62(5):353-5.
    PMID: 8550926
    Little new evidence on the prevalence of injury to the anterior teeth of children has been reported in the past five years and, in South Africa, trauma to the teeth of children in different ethnic groups has not been compared respectively. The purpose of this investigation was to determine the prevalence of dental trauma using well-defined criteria and to sample a specific age-group. Five regions were chosen and 1035 children in the eleven-year age-group were examined. No statistical significance was found between the ethnic groups related to the amount of injury sustained. For all groups, boys received more injuries than girls. The most common injury was fracture of the enamel of the maxillary central incisor. With 15 percent of the children receiving some level of trauma by age eleven years, this is one of the main dental treatment needs for South African children.
    Matched MeSH terms: Urban Health/statistics & numerical data
  12. Lee WS, Puthucheary SD
    Singapore Med J, 2001 Feb;42(2):057-60.
    PMID: 11358191
    To describe the patterns of isolation of Aeromonas spp. and the resulting spectrum of infection, intestinal and extra-intestinal,from infants and children in an urban area in a hot and humid country from SoutheastAsia.
    Matched MeSH terms: Urban Health/statistics & numerical data*
  13. Selvarajah S, Haniff J, Kaur G, Hiong TG, Cheong KC, Lim CM, et al.
    Eur J Prev Cardiol, 2013 Apr;20(2):368-75.
    PMID: 22345688 DOI: 10.1177/2047487312437327
    BACKGROUND: This study aimed to estimate the prevalence of cardiovascular risk factors and its clustering. The findings are to help shape the Malaysian future healthcare planning for cardiovascular disease prevention and management.
    METHODS: Data from a nationally representative cross-sectional survey was used. The survey was conducted via a face-to-face interview using a standardised questionnaire. A total of 37,906 eligible participants aged 18 years and older was identified, of whom 34,505 (91%) participated. Focus was on hypertension, hyperglycaemia (diabetes and impaired fasting glucose), hypercholesterolaemia and central obesity.
    RESULTS: Overall, 63% (95% confidence limits 62, 65%) of the participants had at least one cardiovascular risk factor, 33% (32, 35%) had two or more and 14% (12, 15%) had three risk factors or more. The prevalence of hypertension, hyperglycaemia, hypercholesterolaemia and central obesity were 38%, 15%, 24% and 37%, respectively. Women were more likely to have a higher number of cardiovascular risk factors for most age groups; adjusted odds ratios ranging from 1.1 (0.91, 1.32) to 1.26 (1.12, 1.43) for the presence of one risk factor and 1.07 (0.91, 1.32) to 2.00 (1.78, 2.25) for two or more risk factors.
    CONCLUSIONS: Cardiovascular risk-factor clustering provides a clear impression of the true burden of cardiovascular disease risk in the population. Women displayed higher prevalence and a younger age shift in clustering was seen. These findings signal the presence of a cardiovascular epidemic in an upcoming middle-income country and provide evidence that drastic measures have to be taken to safeguard the health of the nation.
    Study name: National Health and Morbidity Survey (NHMS-2006)
    Matched MeSH terms: Urban Health/statistics & numerical data
  14. Esa R, Razak IA, Allister JH
    Community Dent Health, 2001 Mar;18(1):31-6.
    PMID: 11421403
    Data on malocclusion and orthodontic treatment need in Malaysia are limited. The purpose of this study was to evaluate malocclusion and orthodontic treatment need in a sample of 12-13-year-old schoolchildren using the Dental Aesthetic Index (DAI), and to assess the relationship between malocclusion and socio-demographic variables, perceptions of need for orthodontic treatment, aesthetic perception and social functioning.
    Matched MeSH terms: Urban Health/statistics & numerical data
  15. Jamal R, Syed Zakaria SZ, Kamaruddin MA, Abd Jalal N, Ismail N, Mohd Kamil N, et al.
    Int J Epidemiol, 2015 Apr;44(2):423-31.
    PMID: 24729425 DOI: 10.1093/ije/dyu089
    The Malaysian Cohort study was initiated in 2005 by the Malaysian government. The top-down approach to this population-based cohort study ensured the allocation of sufficient funding for the project which aimed to recruit 100,000 individuals aged 35-70 years. Participants were recruited from rural and urban areas as well as from various socioeconomic groups. The main objectives of the study were to identify risk factors, to study gene-environment interaction and to discover biomarkers for the early detection of cancers and other diseases. At recruitment, a questionnaire-based interview was conducted, biophysical measurements were performed and biospecimens were collected, processed and stored. Baseline investigations included fasting blood sugar, fasting lipid profile, renal profile and full blood count. From April 2006 to the end of September 2012 we recruited a total of 106,527 participants. The baseline prevalence data showed 16.6% participants with diabetes, 46.5% with hypertension, 44.9% with hypercholesterolaemia and 17.7% with obesity. The follow-up phase commenced in June 2013. This is the most comprehensive and biggest cohort study in Malaysia, and has become a valuable resource for epidemiological and biological research. For information on collaboration and also data access, investigators can contact the project leader at (rahmanj@ppukm.ukm.edu.my).
    Study name: The Malaysian Cohort (TMC) project
    Matched MeSH terms: Urban Health/statistics & numerical data
  16. Sekhar WY, Soo EH, Gopalakrishnan V, Devi S
    Singapore Med J, 2000 Aug;41(8):370-5.
    PMID: 11256343
    The aim of the study was to look into the epidemiology of serodiagnosed cases of leptospirosis at the University Hospital and compare two commercial ELISA Assays to the Microscopic Agglutination Test (MAT). Demographic data for all serodiagnosed cases for the years 1991-1997 were collected. From this data, 104 sera (n = 104) were selected as samples for comparative evaluation of the commercial ELISAs (INDX Dip-S-Ticks and PanBio ELISA) to the MAT test. Thirty two (n = 32) negative control sera were selected from serodiagnosed cases of other differential diagnosis of leptospira infection. The MAT test is a standard test that detects agglutination antibodies to leptospira biflexa, while the INDX Dip-S-Ticks is an ELISA dot test assaying for total anti-leptospira antibodies. The PanBio ELISA is a colorometric assay in test well strips to detect anti-leptospira IgM. The sensitivity, specificity, and efficiency of tests were calculated at a MAT cut-off value of 1:320. Demographic data showed that leptospirosis peaks during March-May and Aug-Nov coinciding with the inter-monsoon period with more men being infected than women and more adults than children. The sensitivity, specificity, and efficiency of test for the INDX Dip-S-Ticks were 83.3%, 93.8% and 87.5% while the values for the PanBio ELISA were 54.2%, 96.9% and 71.3%. The suboptimal PanBio result could be related to the blocking effect of high IgG titres or could be related to the diagnostic MAT cut-off values used in this study. The data hence reflects a pattern of transmission that is related to "wet" occupational risk factors. The commercial assays evaluated, are easier to perform but interpretation of results should be based on level of endemicity. The INDX Dip-S-Ticks allows this flexibility and is a practical alternative to the MAT test.
    Matched MeSH terms: Urban Health/statistics & numerical data
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