Age-Specific Probability of 4 Major Health Outcomes in Children with Spina Bifida.

OBJECTIVE: This study aimed to estimate the age-specific probability of 4 health outcomes in a large registry of individuals with spina bifida (SB). METHODS: The association between age and 4 health outcomes was examined in individuals with myelomeningocele (MMC, n = 5627) and non-myelomeningocele (NMMC, n = 1442) from the National Spina Bifida Patient Registry. Sixteen age categories were created, 1 for each year between the ages of 5 and 19 years and 1 for those aged 20 years or older. Generalized linear models were used to calculate the adjusted probability and 95% prediction intervals of each outcome for each age category, adjusting for sex and race/ethnicity. RESULTS: For the MMC and NMMC groups, the adjusted coefficients for the correlation between age and the probability of each outcome were -0.933 and -0.657 for bladder incontinence, -0.922 and -0.773 for bowel incontinence, 0.942 and 0.382 for skin breakdown, and 0.809 and 0.619 for lack of ambulation, respectively. CONCLUSION: In individuals with SB, age is inversely associated with the probability of bladder and bowel incontinence and directly associated with the probability of skin breakdown and lack of ambulation. The estimated age-specific probabilities of each outcome can help SB clinicians estimate the expected proportion of patients with the outcome at specific ages and explain the probability of the occurrence of these outcomes to patients and their families.

Geo-temporal patterns to design cost-effective interventions for zoonotic diseases -the case of brucellosis in the country of Georgia.

Introduction: Control of zoonosis can benefit from geo-referenced procedures. Focusing on brucellosis, here the ability of two methods to distinguish disease dissemination patterns and promote cost-effective interventions was compared. Method: Geographical data on bovine, ovine and human brucellosis reported in the country of Georgia between 2014 and 2019 were investigated with (i) the Hot Spot (HS) analysis and (ii) a bio-geographical (BG) alternative. Results: More than one fourth of all sites reported cases affecting two or more species. While ruminant cases displayed different patterns over time, most human cases described similar geo-temporal features, which were associated with the route used by migrant shepherds. Other human cases showed heterogeneous patterns. The BG approach identified small areas with a case density twice as high as the HS method. The BG method also identified, in 2018, a 2.6-2.99 higher case density in zoonotic (human and non-human) sites than in non-zoonotic sites (which only reported cases affecting a single species) -a finding that, if corroborated, could support cost-effective policy-making. Discussion: Three dissemination hypotheses were supported by the data: (i) human cases induced by sheep-related contacts; (ii) human cases probably mediated by contaminated milk or meat; and (iii) cattle and sheep that infected one another. This proof-of-concept provided a preliminary validation for a method that may support cost-effective interventions oriented to control zoonoses. To expand these findings, additional studies on zoonosis-related decision-making are recommended.

The Importance of Livestock Demography and Infrastructure in Driving Foot and Mouth Disease Dynamics.

Transboundary animal diseases, such as foot and mouth disease (FMD) pose a significant and ongoing threat to global food security. Such diseases can produce large, spatially complex outbreaks. Mathematical models are often used to understand the spatio-temporal dynamics and create response plans for possible disease introductions. Model assumptions regarding transmission behavior of premises and movement patterns of livestock directly impact our understanding of the ecological drivers of outbreaks and how to best control them. Here, we investigate the impact that these assumptions have on model predictions of FMD outbreaks in the U.S. using models of livestock shipment networks and disease spread. We explore the impact of changing assumptions about premises transmission behavior, both by including within-herd dynamics, and by accounting for premises type and increasing the accuracy of shipment predictions. We find that the impact these assumptions have on outbreak predictions is less than the impact of the underlying livestock demography, but that they are important for investigating some response objectives, such as the impact on trade. These results suggest that demography is a key ecological driver of outbreaks and is critical for making robust predictions but that understanding management objectives is also important when making choices about model assumptions.

Preventive care services and health behaviors in children with fragile X syndrome.

BACKGROUND: This is the first description of preventive care services specifically received by children and young adults with fragile X syndrome (FXS). We compare these rates to those of other pediatric populations and identify care disparities within our cohort. OBJECTIVE: Describe the frequency of preventive care services and health behaviors by young people with FXS, and identify disparities in care. METHODS: We assessed four preventive care outcomes and the total number of preventive care guidelines met among individuals under 21 years from the ongoing Fragile X Online Registry with Accessible Research Database (N = 406) using data from 2012 to 2015. We used adjusted odds ratios (AORs) from multiple logistic regression models to describe associations between demographic factors and preventive care outcomes. RESULTS: Seventy-five percent of our sample met dental care guidelines, 55.4% met influenza vaccination guidelines, 92.1% met immunization guidelines, and 24.4% met physical activity (PA) guidelines. Compared to children six to 10 years, younger children were less likely to have seen a dentist as recommended (AOR: 0.26) and young adults aged 16-20 were less likely to have received immunizations (AOR: 0.14) or to have engaged in recommended PA (AOR: 0.29). Black participants (AOR: 0.25) were less likely to have received an influenza vaccination than white participants. Individuals with autism (AOR: 0.25) were less likely to have sufficient PA, while individuals with hypersensitivity were more likely to have sufficient PA (AOR: 2.37) than unaffected individuals. CONCLUSIONS: The proportion of young people with FXS that meet basic recommendations in preventive care guidelines varies according to health condition and demographic characteristics. This proportion could be increased for some groups, particularly in the cases of influenza vaccination and physical activity.

A Description of the Educational Setting Among Individuals With Fragile X Syndrome.

Children with fragile X syndrome (FXS) display wide-ranging intellectual and behavioral abilities that affect daily life. We describe the educational setting of students with FXS and assess the relationships between school setting, co-occurring conditions, and functional ability using a national survey sample ( n = 982). The majority of students with FXS in this sample have formal individualized education plans, spend part of the day outside regular classrooms, and receive modifications when in a regular classroom. Males with FXS and certain co-occurring conditions (autism, aggression, and self-injurious behavior) are more likely to spend the entire day outside regular classrooms, compared to males without these co-occurring conditions. Students who spend more time in regular classrooms are more likely to perform functional tasks without help.

Process evaluation of health fairs promoting cancer screenings.

BACKGROUND: Low income and uninsured individuals often have lower adherence to cancer screening for breast, cervical and colorectal cancer. Health fairs are a common community outreach strategy used to provide cancer-related health education and services. METHODS: This study was a process evaluation of seven health fairs focused on cancer screening across the U.S. We conducted key-informant interviews with the fair coordinator and conducted baseline and follow-up surveys with fair participants to describe characteristics of participants as well as their experiences. We collected baseline data with participants at the health fairs and telephone follow-up surveys 6 months following the fair. RESULTS: Attendance across the seven health fairs ranged from 41 to 212 participants. Most fairs provided group or individual education, print materials and cancer screening during the event. Overall, participants rated health fairs as very good and participants reported that the staff was knowledgeable and that they liked the materials distributed. After the fairs, about 60% of participants, who were reached at follow-up, had read the materials provided and had conversations with others about cancer screening, and 41% talked to their doctors about screening. Based on findings from evaluation including participant data and coordinator interviews, we describe 6 areas in planning for health fairs that may increase their effectiveness. These include: 1) use of a theoretical framework for health promotion to guide educational content and activities provided, 2) considering the community characteristics, 3) choosing a relevant setting, 4) promotion of the event, 5) considerations of the types of services to deliver, and 6) evaluation of the health fair. CONCLUSIONS: The events reported varied in reach and the participants represented diverse races and lower income populations overall. Most health fairs offered education, print materials and onsite cancer screening. Participants reported general satisfaction with these events and were motivated through their participation to read educational materials or discuss screening with providers. Public health professionals can benefit from this process evaluation and recommendations for designing and evaluating health fairs.