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1.
Epidemiol Infect ; 137(11): 1651-4, 2009 Nov.
Article in English | MEDLINE | ID: mdl-19426570

ABSTRACT

Tri-County Health Department investigated an outbreak of cryptosporidiosis linked to a community swimming pool. A cohort study was conducted in 37 persons who were invited to the pool party; 12 (57%) of 21 attendees had primary cryptosporidiosis infection. Risk factors for illness included swimming, getting water in mouth, and swallowing water. The pool met chlorination guidelines and used UV light irradiation, a supplemental disinfection technology that inactivates Cryptosporidium. A follow-up survey of the cohort was completed 7-8 weeks after the pool party; four (25%) of 16 non-attendees had secondary cryptosporidiosis infection. The median duration of illness, including patients with recurring symptoms, was 26 days. Clinical response rate to nitazoxanide, a therapeutic agent, was 67%. This study is unique because it describes a cryptosporidiosis outbreak from a well-maintained community swimming pool using supplemental disinfection. It also reports information on disease burden and treatment response.


Subject(s)
Cryptosporidiosis/epidemiology , Disease Outbreaks , Swimming Pools , Adolescent , Adult , Child , Child, Preschool , Colorado/epidemiology , Follow-Up Studies , Humans , Incidence , Young Adult
2.
J Epidemiol Community Health ; 62(3): 202-8, 2008 Mar.
Article in English | MEDLINE | ID: mdl-18272734

ABSTRACT

INTRODUCTION: Growing evidence suggests the built environment impacts obesity within urban areas; however, little research has investigated these relationships across levels of urbanisation in diverse and representative populations. This study aimed to determine whether personal and neighbourhood barriers differ by the level of urbanisation and the relative importance of personal barriers, neighbourhood barriers and land-use development patterns measured by a county-level sprawl index. METHODS: Population-based, cross-sectional telephone survey data were collected on 1818 United States adults of diverse ethnicity and income level. Primary analyses were stratified by the level of urbanisation at the county level (large metropolitan, small metropolitan, non-metro, rural). Associations between obesity and neighbourhood and personal barriers were estimated with logistic regression, controlling for demographic variables. Within metropolitan areas, the association between body mass index (BMI) and county-level sprawl was estimated using hierarchical linear modelling, controlling for individual-level neighbourhood and personal barriers and demographic variables and then assessing cross-level interaction. RESULTS: The prevalence of neighbourhood, but not personal, barriers differed widely across levels of urbanisation. Specific neighbourhood (eg traffic, unattended dogs) and personal (eg time, injury) barriers differentially correlated with obesity across strata. The impact of sprawl on BMI (B = -0.005) was consistent with previous findings; standardised coefficients indicate that personal (beta = 0.10) and neighbourhood (beta = 0.05) barriers had a stronger association than sprawl (beta = -0.02). Furthermore, the effect of sprawl on BMI increased by -0.006 with each additional personal barrier. CONCLUSIONS: Future intervention planning and policy development should consider that personal barriers and built environment characteristics may interact with each other and influence obesity differently across urbanisation levels.


Subject(s)
Obesity/epidemiology , Residence Characteristics/statistics & numerical data , Urban Health/statistics & numerical data , Adolescent , Adult , Aged , Body Mass Index , Environment Design , Female , Health Behavior , Health Surveys , Humans , Male , Middle Aged , Obesity/etiology , Risk Factors , United States/epidemiology
3.
Int J Obes (Lond) ; 31(6): 968-77, 2007 Jun.
Article in English | MEDLINE | ID: mdl-17224932

ABSTRACT

OBJECTIVE: The global obesity epidemic has been partially attributed to modern environments that encourage inactivity and overeating, yet few studies have examined specific features of the physical neighborhood environment that influence obesity. Using two different measurement methods, this study sought to identify and compare perceived and observed neighborhood indicators of obesity and a high-risk profile of being obese and inactive. DESIGN: Cross-sectional telephone surveys (perceived) and street-scale environmental audits (observed) were conducted concurrently in two diverse US cities to assess recreational facility access, land use, transportation infrastructure and aesthetics. SUBJECTS: A total of 1032 randomly selected urban residents (20% obese, 32% black, 65% female). ANALYSIS: Bivariate and multivariate logistic regression analyses were conducted to estimate the association (adjusted prevalence odds ratio (aOR)) between the primary outcome (obese vs normal weight) and perceived and observed environmental indicators, controlling for demographic variables. RESULTS: Being obese was significantly associated with perceived indicators of no nearby nonresidential destinations (aOR=2.2), absence of sidewalks (aOR=2.2), unpleasant community (aOR=3.1) and lack of interesting sites (aOR=4.8) and observed indicators of poor sidewalk quality (aOR=2.1), physical disorder (aOR=4.0) and presence of garbage (aOR=3.7). Perceived and observed indicators of land use and aesthetics were the most robust neighborhood correlates of obesity in multivariate analyses. CONCLUSIONS: The findings contribute substantially to the growing evidence base of community-level correlates of obesity and suggest salient environmental and policy intervention strategies that may reduce population-level obesity prevalence. Continued use of both measurement methods is recommended to clarify inconsistent associations across perceived and observed indicators within the same domain.


Subject(s)
Environment Design/standards , Obesity/epidemiology , Adolescent , Adult , Aged , Attitude to Health , Esthetics , Exercise , Female , Georgia/epidemiology , Humans , Male , Middle Aged , Missouri/epidemiology , Population Surveillance/methods , Recreation , Transportation , Urban Health
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