Characteristics Of Geographical Area Research Articles

Characteristics Associated With Purchasing Sugar-Sweetened Beverages and Bottled Water Among US Households, 2015

BackgroundFrequent intake of sugar-sweetened beverages (SSBs) among US adults is a public health concern because it has been associated with increased risks for adverse health outcomes such as obesity, type 2 diabetes, and cardiovascular disease. In contrast, drinking plain water (such as tap, bottled, or unsweetened sparkling water) instead of drinking SSBs might provide health benefits by improving diet quality and helping prevent chronic diseases. However, there is limited information on estimated expenditures on SSBs or bottled water among US households. ObjectiveThis study examined differences in SSB and bottled water purchasing according to household and geographic area characteristics and estimated costs spent on purchasing SSB and bottled water from retail stores among a nationally representative sample of US households. DesignThis study is a secondary analysis of the 2015 Circana (formerly Information Resources Inc) Consumer Network Panel data, which were merged with the US Department of Agriculture nutrition data using the US Department of Agriculture Purchase-to-Plate Crosswalk-2015 dataset (the latest available version of the Purchase-to-Plate Crosswalk at the time the study began), and the Child Opportunity Index 2.0 data. Participants/settingsA total of 63,610 households, representative of the contiguous US population, consistently provided food and beverage purchase scanner data from retail stores throughout 2015. Explanatory variablesThe included demographic and socioeconomic variables were household head’s age, marital status, highest education level, race and ethnicity of the primary shopper in the household, family income relative to the federal poverty level, and presence of children in the household. In addition, descriptors of households’ residential areas were included, such as the county-level poverty prevalence, urbanization, census region, and census tract level Child Opportunity Index. Main outcome measuresAnnual per capita spending on SSB and bottled water and daily per capita SSB calories purchased. Statistical analysisUnadjusted and multivariable adjusted mean values of the main outcome measures were compared by household demographic, socioeconomic, and geographic characteristics using linear regression analysis including Circana’s household projection factors. ResultsNearly all households reported purchasing SSBs at least once during 2015 and spent on average $47 (interquartile range = $20) per person per year on SSBs, which corresponded to 211 kcal (interquartile range = 125 kcal) of SSBs per person per day. About seven in 10 households reported purchasing bottled water at least once during 2015 and spent $11 (interquartile range = $5) per person on bottled water per year. Both annual per capita SSB and bottled water spending, and daily per capita SSB calories purchased was highest for households whose heads were between 40 and 59 years of age, had low household income, or lived in poor counties, or counties with a low Child Opportunity Index. Annual per capita spending was also higher for households with never married/widowed/divorced head, or at least 1 non-Hispanic Black head, and households without children, or those living in the South. Daily per capita SSB calorie purchases were highest for households where at least 1 head had less than a high school degree, households with at least 1 Hispanic or married head, and households with children or those living in the Midwest. ConclusionsThese findings suggest that households that had lower socioeconomic status had higher annual per capita spending on SSBs and bottled water and higher daily per capita total SSB calories purchased than households with higher socioeconomic status.

Milk Quality and Safety in a One Health Perspective: Results of a Prevalence Study on Dairy Herds in Lombardy (Italy).

Mastitis is one of the major diseases of dairy cows that affects milk quality and quantity and increases the potential risk for the presence of antimicrobial residues (AR) in milk, which could lead to the development of antimicrobial resistance (AMR) among human pathogens. Even if the presence of AR in milk and milk products is low in many countries, the threat is not negligible and cannot be ignored. These problems may be investigated by applying a One Health approach, and this prevalence study aimed to estimate the risks for human health related to milk production applied to dairy herds in Lombardy. Three hundred thirty-one bulk tank milk samples were randomly collected and analyzed by CombiFoss 7 and MilkoScan 7 (milk quality, bacteria, and somatic cell count), an HPLC system coupled to a Q-Exactive Orbitrap (AR), and qPCR (contagious pathogens). The data were analyzed by a generalized linear model. The results showed a relatively high prevalence of contagious pathogens (S. aureus 28.1%; Str. agalactiae 7.3%; M. bovis 3%), which primarily affect milk nutritional components decreasing mainly milk fat content (range 1%–2.5%), but did not show them to be associated to an increase of the risk of antimicrobial residues. These latter ones were recovered only in 7/331 samples at concentrations far below official MLRs. The results support currently active surveillance programs’ efficacy in reducing AR risks, which may be further improved by prioritizing them based on geographical area characteristics.

R-TIK Digital Transformation Towards Indonesia Information Society

As a developing country, Indonesians are still constrained by the use of digital-based technology. Based on the characteristics of geographic areas, digital discrepancy becomes an inevitable problem. So that in order to create an Information Society according to the agreement of the World Summit on the Information Society (WSIS), collaboration between various parties is needed. One of the efforts made by the Indonesian government is to encourage the formation of the Information Society through the policy of forming Information and Communication Technology Volunteers (in Indonesia known as R-TIK/Indonesia ICT Volunteers) in various regions spread throughout Indonesia. This study aims to determine the activities of R-TIK in realizing the Information Society in Indonesia. The method used is descriptive qualitative, by conducting in-depth observations and participant observation with R-TIK activists, stakeholders, business actors (UMKM/SMMEs), and the community as R-TIK partners. Based on the research results, it can be concluded that R-TIK is able to encourage public awareness in the sustainable use of digital technology. Even R-TIK together with UMKM (SMMEs) have been able to push the rate of economic growth in Indonesia by utilizing digital technology under the name Qren.

Determinants of Land Use/Cover Change in the Iberian Peninsula (1990–2012) at Municipal Level

This work analyzes the determinants associated with main land use/cover changes in the Iberian Peninsula during the 1990–2012 period using a decision tree model. Our main objective is to identify broad-scale patterns that associate the characteristics of geographic areas with the dominant land use/cover change process based on CORINE Land Cover (Coordination of Information on the Environment) and defined in a previously published work. Biophysical, structural and socioeconomic variables were considered as potentially explanatory of the dominant change process at municipal scale. The resulting model allowed identification of a common pattern in Portugal and Spain (urbanization being highly associated to areas already densely populated in the previous period), but also some diverging ones. In particular, dominant trends in Portuguese territory appear to be highly determined by wildfire occurrence. In contrast, Spanish municipalities showed more diverse patterns, usually associated to biophysical determinants like average forest productivity or average terrain slope.

Why Atlanta?: a case study of how place produces intersectional social movement groups

The role of place is undertheorized in the literature on intersectional social movements; this study uses Atlanta, Georgia as an exemplary case study of how the characteristics of geographical areas shape the possibilities for intersectional social movement organizing. Atlanta is home to a rare trend of men’s gender justice groups that organize around one or more additional intersecting identities (e.g. race, sexuality, religion). Across the country there are groups like Men Can Stop Rape and Men Against Sexual Violence, but Atlanta has Black Men for the Eradication of Sexism, Muslim Men Against Domestic Violence (MMADV), and the Sweet Tea Southern Queer Men's Collective. Based on a year of participant-observation and interviews with MMADV and Sweet Tea, this paper illustrates how local grassroots activism is shaped by four types of interweaving place-based factors: demographic, geographic, cultural, and institutional. By enabling necessary precursors, these factors combine to create an environment where multiple intersectionally-organized men's gender justice groups could form, independently of each other, despite being extremely uncommon elsewhere in the country. The article develops a model for theorizing about intersectionality, space and place, social movements and activism, and contemporary feminism, as well as contributing to knowledge about activism in the understudied context of the Southern city.

Associations of place characteristics with HIV and HCV risk behaviors among racial/ethnic groups of people who inject drugs in the United States

PurposeInvestigate whether characteristics of geographic areas are associated with condomless sex and injection-related risk behavior among racial/ethnic groups of people who inject drugs (PWID) in the United States. MethodsPWID were recruited from 19 metropolitan statistical areas for 2009 National HIV Behavioral Surveillance. Administrative data described ZIP codes, counties, and metropolitan statistical areas where PWID lived. Multilevel models, stratified by racial/ethnic groups, were used to assess relationships of place-based characteristics to condomless sex and injection-related risk behavior (sharing injection equipment). ResultsAmong black PWID, living in the South (vs. Northeast) was associated with injection-related risk behavior (adjusted odds ratio [AOR] = 2.24, 95% confidence interval [CI] = 1.21–4.17; P = .011), and living in counties with higher percentages of unaffordable rental housing was associated with condomless sex (AOR = 1.02, 95% CI = 1.00–1.04; P = .046). Among white PWID, living in ZIP codes with greater access to drug treatment was negatively associated with condomless sex (AOR = 0.93, 95% CI = 0.88–1.00; P = .038). ConclusionsPolicies that increase access to affordable housing and drug treatment may make environments more conducive to safe sexual behaviors among black and white PWID. Future research designed to longitudinally explore the association between residence in the south and injection-related risk behavior might identify specific place-based features that sustain patterns of injection-related risk behavior.

The trade-offs between population density and households׳ transportation-housing costs

As metropolitan area governments and others promote density-promoting “smart growth” policies, finer analysis is needed to quantify the impact of such policies on households transportation and housing costs. Existing research suggests that households in urban areas trade-off between housing costs and transportation costs, but does not explore how policies to increase urban densities might explicitly impact this balance. Furthermore, the research does not adequately distinguish between the effect of urban area density and the effects of other factors associated with urban area density (e.g metropolitan area size and household incomes) on housing costs. This paper uses the 2000 Census Public Use Micro Sample (PUMS) person and household data from 23 of the nation׳s most densely populated states to identify the impact of increased population density on three housing cost measures: household rents, housing unit values, and monthly mortgage payments. Log linear models were estimated for each housing cost measure using least-squares regression. Dependent variables included household, housing unit, and geographic area characteristics, including population density. The models were found to be very similar to one another in terms of the statistical significance and values of estimated model parameters. Population density (measured at the PUMS area level) was found to be statistically significant at the 0.01 level for all housing cost measures. Although significant, the parameter estimates show that the elasticity of housing cost with respect to population density is low, ranging from 0.041 to 0.05. This research also explores the relationship between housing costs and accessibility. Results show that households living in areas closer to jobs (as indicated by shorter average commute times) and households utilizing fixed route transit systems have marginally higher housing costs.

Diagnostic and treatment pathways for men with prostate cancer in Queensland: investigating spatial and demographic inequalities

BackgroundPatterns of diagnosis and management for men diagnosed with prostate cancer in Queensland, Australia, have not yet been systematically documented and so assumptions of equity are untested. This longitudinal study investigates the association between prostate cancer diagnostic and treatment outcomes and key area-level characteristics and individual-level demographic, clinical and psychosocial factors.Methods/DesignA total of 1064 men diagnosed with prostate cancer between February 2005 and July 2007 were recruited through hospital-based urology outpatient clinics and private practices in the centres of Brisbane, Townsville and Mackay (82% of those referred). Additional clinical and diagnostic information for all 6609 men diagnosed with prostate cancer in Queensland during the study period was obtained via the population-based Queensland Cancer Registry.Respondent data are collected using telephone and self-administered questionnaires at pre-treatment and at 2 months, 6 months, 12 months, 24 months, 36 months, 48 months and 60 months post-treatment. Assessments include demographics, medical history, patterns of care, disease and treatment characteristics together with outcomes associated with prostate cancer, as well as information about quality of life and psychological adjustment. Complementary detailed treatment information is abstracted from participants' medical records held in hospitals and private treatment facilities and collated with health service utilisation data obtained from Medicare Australia. Information about the characteristics of geographical areas is being obtained from data custodians such as the Australian Bureau of Statistics. Geo-coding and spatial technology will be used to calculate road travel distances from patients' residences to treatment centres. Analyses will be conducted using standard statistical methods along with multilevel regression models including individual and area-level components.ConclusionsInformation about the diagnostic and treatment patterns of men diagnosed with prostate cancer is crucial for rational planning and development of health delivery and supportive care services to ensure equitable access to health services, regardless of geographical location and individual characteristics.This study is a secondary outcome of the randomised controlled trial registered with the Australian New Zealand Clinical Trials Registry (ACTRN12607000233426)

Health research based on geospatial tools: a timely approach in a changing environment

The possibilities of disease prediction based on the environmental characteristics of geographical areas and specific requirements of the causative infectious agents are reviewed and, in the case of parasites whose life cycles involve more than one host, the needs of the intermediate hosts are also referred to. The geographical information systems framework includes epidemiological data, visualization (in the form of maps), modelling and exploratory analysis using spatial statistics. Examples include climate-based forecast systems, based on the concept of growing degree days, which now exist for several parasitic helminths such as fasciolosis, schistosomiasis, dirofilariasis and also for malaria. The paper discusses the limits of data collection by remote sensing in terms of resolution capabilities (spatial, temporal and spectral) of sensors on-board satellites. Although the data gained from the observation of oceans, land, elevations, land cover, land use, surface temperatures, rainfall, etc. are primarily for weather forecasting, military and commercial use, some of this information, particularly that from the climate research satellites, is of direct epidemiological utility. Disease surveillance systems and early-warning systems (EWS) are prime examples of academic approaches of practical importance. However, even commercial activities such as the construction of virtual globes, i.e. computer-based models of the Earth, have been used in this respect. Compared to conventional world maps, they do not only show geographical and man-made features, but can also be spatially annotated with data on disease distribution, demography, economy and other measures of particular interest.

Patterns of mental health service utilisation in Italy and Spain

Methods for comparing local mental health service systems are needed to allow identification of different patterns of service provision and of inequities within and between countries. The aim of this study was to describe and compare mental health service systems in 13 catchment areas in Spain and Italy. Within each country, a range of area characteristics was represented. The European Service Mapping Schedule (ESMS) and European Socio-Demographic Schedule (ESDS) were used to describe: (i) socio-demographic and geographical area characteristics; (ii) services provided; and (iii) service utilisation in each area. Great differences emerged in patterns of service provision and use between and within countries. In contrast to Northern Europe, high unemployment rates were not associated with high service utilisation rates, but areas with large numbers of single-person households tended to have high service use. Most service utilisation rates were substantially below those reported from Northern European studies. Spanish centres tended to have low rates of hospital service utilisation despite limited development of community-based services. Trieste, where there has been a strong emphasis on developing innovative community services, showed a distinctive pattern with low hospital bed use and high rates of day service use and of contacts in the community. This methodology yielded useful data, which raise significant questions regarding equity and the implementation of mental health policy. The very large variations indicate that underlying local patterns of service provision must be investigated and taken into account in the interpretation of research evaluations of interventions.

Is travel distance a barrier to veterans' use of VA hospitals for medical surgical care?

Lengthy travel distances may explain why relatively few veterans in the United States use VA hospitals for inpatient medical/surgical care. We used two approaches to distinguish the effect of distance on VA use from other factors such as access to alternatives and veterans' characteristics. The first approach describes how disparities in travel distance to the VA are related to other characteristics of geographic areas. The second approach involved a multivariate analysis of VA use in postal zip code areas (ZCAs). We used several sources of data to estimate the number of veterans who had priority access to the VA so that use rates could be estimated. Access to hospitals was characterized by estimated travel distance to inpatient providers that typically serve each ZCA. The results demonstrate that travel distance to the VA is variable, with veterans in rural areas traveling much farther for VA care than veterans in areas of high population density. However, Medicare recipients also travel farther in areas of low population density. In some areas veterans must travel lengthy distances for VA care because VA hospitals which were built over the past few decades are not located close to areas in which veterans reside in the 1990s. The disparities in travel distance suggest inequitable access to the VA. Use of the VA decreases with increases in travel distance only up to about 15 miles, after which use is relatively insensitive to further increases in distance. The multivariate analyses indicate that those over 65 are less sensitive to distance than younger veterans, even though those over 65 are Medicare eligible and therefore have inexpensive access to alternatives. The results suggest that proximity to a VA hospital is only one of many factors determining VA use. Further research is indicated to develop an appropriate response to the needs of the small but apparently dedicated group of VA users who are traveling very long distances to obtain VA care.