Ambient Electromagnetic Radiation as a Predictor of Honey Bee (Apis mellifera) Traffic in Linear and Non-Linear Regression: Numerical Stability, Physical Time and Energy Efficiency.

Since bee traffic is a contributing factor to hive health and electromagnetic radiation has a growing presence in the urban milieu, we investigate ambient electromagnetic radiation as a predictor of bee traffic in the hive's vicinity in an urban environment. To that end, we built two multi-sensor stations and deployed them for four and a half months at a private apiary in Logan, UT, USA. to record ambient weather and electromagnetic radiation. We placed two non-invasive video loggers on two hives at the apiary to extract omnidirectional bee motion counts from videos. The time-aligned datasets were used to evaluate 200 linear and 3,703,200 non-linear (random forest and support vector machine) regressors to predict bee motion counts from time, weather, and electromagnetic radiation. In all regressors, electromagnetic radiation was as good a predictor of traffic as weather. Both weather and electromagnetic radiation were better predictors than time. On the 13,412 time-aligned weather, electromagnetic radiation, and bee traffic records, random forest regressors had higher maximum R2 scores and resulted in more energy efficient parameterized grid searches. Both types of regressors were numerically stable.

Perceptions of older adults? Measuring positive, negative, and physical descriptors using the stereotype content and strength survey.

The COVID-19 pandemic has disproportionately impacted the health of older adults. In addition to a higher risk for serious illness and death, the societal value of senescent adults was challenged. There have been conflicting results reported in the research literature regarding positive and negative stereotypes of older adults, and areliable and valid assessment tool to measure content (existence of astereotype) and strength (intensity of astereotype) is unavailable. To address issues with instruments employed to measure ageist stereotypes, researchers developed the Stereotypes Content and Strength Survey. University students (n=483) were directed to "think about their perceptions of older adults" and indicate how many they believed could be described using the terms listed on a5-point Likert-type scale from none-all. Response categories for each descriptive item were dichotomized into 1 = "some, most or all" and 0 = "none or few." Based on an odds analyses of 117 items, 84 met the content criteria to be considered astereotype regarding older adults. Using the criteria for strength, items were categorized into 36 "strong," 25 "moderate," and 23 "weak" stereotypes. Assessing the content and strength of stereotypic beliefs using this procedure may contribute to major bias influencing ageist perceptions.

Contribution of clinical breast exam to cancer detection in women participating in a modern screening program.

PURPOSE: Despite the controversy surrounding the role of clinical breast exam (CBE) in modern breast cancer screening, it is widely practiced. We examined the contribution of CBE in women undergoing routine screening mammography and in women under the screening age. METHODS: A retrospective cohort study including all women participating in a voluntary health screening program between 2007 and 2016. All participants undergo CBE; Screening mammography is done selectively based on age, breast imaging history and insurance coverage. Data collected included demographics, risk factors, previous imaging, and findings on CBE and mammography. Cancer detection rates within 3 months of the visit were calculated separately for women undergoing routine screening mammography, and women under the screening age. RESULTS: There were 14,857 CBE completed in 8378; women; 7% were abnormal. Within 3 months of the visit, 35 breast cancers (2.4 per 1000 visits) were diagnosed. In women within the screening age who completed a mammogram less than one year prior to the visit (N = 1898), 4 cancers (2.1 cancers per 1000 visits) were diagnosed. Only one was diagnosed in a woman with an abnormal CBE, suggesting that the cancer detection rate of CBE in women undergoing regular screening is very low (0.5 per 1000 visits). In women under the screening age (45), 3 cancers (0.4 per 1000 visits) were diagnosed; all were visualized on mammography, one had an abnormal CBE. CONCLUSIONS: The contribution of CBE to cancer detection in women undergoing routine screening and in women under the screening age is rare.

Plain Language to Communicate Physical Activity Information: A Website Content Analysis.

Plain language techniques are health literacy universal precautions intended to enhance health care system navigation and health outcomes. Physical activity (PA) is a popular topic on the Internet, yet it is unknown if information is communicated in plain language. This study examined how plain language techniques are included in PA websites, and if the use of plain language techniques varies according to search procedures (keyword, search engine) and website host source (government, commercial, educational/organizational). Three keywords ("physical activity," "fitness," and "exercise") were independently entered into three search engines (Google, Bing, and Yahoo) to locate a nonprobability sample of websites ( N = 61). Fourteen plain language techniques were coded within each website to examine content formatting, clarity and conciseness, and multimedia use. Approximately half ( M = 6.59; SD = 1.68) of the plain language techniques were included in each website. Keyword physical activity resulted in websites with fewer clear and concise plain language techniques ( p < .05), whereas fitness resulted in websites with more clear and concise techniques ( p < .01). Plain language techniques did not vary by search engine or the website host source. Accessing PA information that is easy to understand and behaviorally oriented may remain a challenge for users. Transdisciplinary collaborations are needed to optimize plain language techniques while communicating online PA information.

Higher habitual sodium intake is not detrimental for bones in older women with adequate calcium intake.

Based on the calciuric effect of sodium (Na), it has been speculated, although not proven, that higher Na intake might have a detrimental effect on bone health. The objective was to determine the relationship between Na intake (expressed as urinary Na) and bone mineral density/content (BMD/BMC) during a 3-year study. Participants were healthy, postmenopausal, Caucasian women (n = 136 at baseline) with no medications affecting bone. After baseline screening, half were instructed to reduce sodium intake to approximately 1,500 mg/day (intervention). The other half remained on habitual intake of approximately 3,000 mg/day (control). All subjects were given calcium and vitamin D supplements to achieve recommended levels. Anthropometries, densitometry, blood and 24-h urine analyses, and dietary and activity records were assessed every 6 months. Data were analyzed as a continuum, irrespective of the initial assignment to a control or intervention group, using random effects regressions with repeated measures analysis of variance to examine changes over time. Results showed that subjects with higher Na intake had higher BMD in the forearm and spine at baseline and all subsequent time-points (p < 0.01). In the forearm, time and higher urinary calcium modified results, producing a curvilinear decrease in BMD (p < 0.01). In the spine, more active individuals had higher BMD at all time-points. We conclude that higher sodium intake, within the range consumed, had a positive effect on some skeletal sites and no adverse effect on bone in women who had adequate calcium and vitamin D intake.

Stereotypes of Older Adults: Development and Evaluation of an Updated Stereotype Content and Strength Survey.

BACKGROUND AND OBJECTIVES: Stereotypes are beliefs about a particular group often adopted to bypass complex information processing. Like racism and other forms of discrimination, ageism affects individuals and society as a whole. The purpose of the study was to analyze the Stereotype Content and Strength Survey (SCSS) designed to update assessment tools commonly used to measure stereotypes of older adults. RESEARCH DESIGN AND METHODS: An updated survey was developed including aging-related descriptive items from previously published studies. Students enrolled at two Midwestern universities (n = 491) were directed to think about their perceptions of "older adults" and select the proportion they believed could be described by the items used in the tool. Response categories for each descriptive item were dichotomized and operationalized to be a strong stereotype if the collapsed response percentage was significantly ≥80%. RESULTS: A Principal Axis Factor analysis and Direct Oblim rotation was computed on 117 descriptive items representing positive, negative, and physical characteristics, resulting in a 3-factor model with acceptable psychometric properties. Cronbach alpha analyses revealed reliable scales for negative (α = .92), positive (α = .88), and physical (α = .81) stereotypes. Of 117 descriptive items, 33 emerged as strong stereotypes including 30 positive, 2 physical, and 1 negative item. DISCUSSION AND IMPLICATIONS: This updated assessment has the potential to contribute to an understanding of the existence of age-related stereotypes as well as the strength, or the proportion of older adults who could be described by each of the items used in the SCSS.

National and Regional Variation in Local Primary Care Physician Density Relative to the Uninsured and the Affordable Care Act.

This study is the first to examine primary care physician (PCP) density relative to the uninsured at the local level prior to and after insurance expansion under the Affordable Care Act. Primary care physician density is associated with access to care, lower inpatient and emergency care, and primary care services. However, access to primary care among the uninsured may be limited due to inadequate availability of PCPs. Core-Based Statistical Area (CBSA) data from the Area Health Resource File were retrospectively examined before and after Medicaid expansion. Multiple logistic regressions were modeled for PCP density with predictor interaction effects for percentage uninsured, Medicaid expansion status, and US Census regions. Medicaid expansion CBSAs had significantly lower proportions of uninsured and higher PCP density compared with their nonexpansion counterparts. Nationally, increasing proportions of the uninsured were significantly associated with decreasing PCP density. Most notably, there is an expected 32% lower PCP density in Western Medicaid expansion areas with many uninsured (90th percentile) compared with those with few uninsured (10th percentile). Areas expanding Medicaid with greater proportions of people becoming insured postexpansion had significantly fewer PCPs. Areas with greater proportions of the uninsured may have reduced access to primary care due to the paucity of PCPs in these areas. Efforts to improve access should consider a lack of local PCPs as a limitation for ensuring accessible and timely care. Health care and policy leaders should focus on answers to improve the local availability of primary care clinicians in underserved communities.

Robot-assisted shopping for the visually impaired: proof-of-concept design and feasibility evaluation.

This article presents RoboCart, a proof-of-concept prototype of a robotic shopping cart for the visually impaired in supermarkets. RoboCart autonomously leads shoppers to required locations and cues them through synthetic speech and a portable barcode reader to the salient features of the environment sufficient for product retrieval. In a longitudinal pilot feasibility study, visually impaired shoppers (n = 10) used the device to retrieve products in Lee's MarketPlace, a supermarket in Logan, Utah. The main finding is that RoboCart enables visually impaired shoppers to reliably and independently navigate to and retrieve products in a real supermarket.

Risk Factor Knowledge, Perceived Threat, and Protective Health Behaviors: Implications for Type 2 Diabetes Control in Rural Communities.

Purpose The purpose of this study was to explore how perceived threat of type 2 diabetes (T2D) is shaped by risk factor knowledge and promotes the engagement of protective health behaviors among rural adults. Methods Participants (N = 252) completed a cross-sectional mixed-mode survey. Chi-squared analyses were computed to examine differences in perceived threat by demographic factors and knowledge of T2D risk factors. Logistic regressions were conducted to examine the relationship between T2D perceived threat and engagement in physical activity and health screenings. Results Perceived threat and knowledge of T2D risk factors were high. Perceived susceptibility was significantly higher among women, whites, and respondents with high body mass index (BMI). Respondents reporting physical activity most/almost every day had low perceived susceptibility to T2D. Perceived severity was significantly higher among respondents with high BMI. Blood cholesterol and glucose screenings were associated with greater T2D perceived susceptibility and severity. Higher BMI was associated with receiving a blood glucose screening. Conclusion Health education specialists and researchers should further explore the implications of using audience segmented fear appeal messages to promote T2D control through protective health behaviors.

Body mass index and percentage body fat as health indicators for young adults.

OBJECTIVES: To investigate the validity of an axiom that body mass index (BMI) and percentage body fat (%BF), above an ideal, are health risk factors. METHODS: Participants were 2615 volunteers who participated in a health-screening program conducted in college residence halls over a consecutive 8-year period. RESULTS: Nearly half of all participants were misclassified when BMI and/or %BF were used to define better versus poorer health whether analyzing all variables together, by individual factor, or by type of variable. CONCLUSIONS: Results of this study indicate that BMI and %BF are poor indicators of health status among young adults.

Physiological health parameters among college students to promote chronic disease prevention and health promotion.

This study aimed to provide physiologic health risk parameters by gender and age among college students enrolled in a U.S. Midwestern University to promote chronic disease prevention and ameliorate health. A total of 2615 college students between 18 and 25 years old were recruited annually using a series of cross-sectional designs during the spring semester over an 8-year period. Physiologic parameters measured included body mass index (BMI), percentage body fat (%BF), blood serum cholesterol (BSC), and systolic (SBP) and diastolic (DBP) blood pressure. These measures were compared to data from NHANES to identify differences in physiologic parameters among 18-25 year olds in the general versus college-enrolled population. A quantitative instrument assessed health behaviors related to physical activity, diet, and licit drug use. Results suggest that average physiologic parameters from 18 to 25 year olds enrolled in college were significantly different from parameters of 18-25 year olds in the general population. Generally, men reported higher percentiles for BMI, SBP, and DBP than women, but lower %BF and BSC percentiles than women at each age. SBP and DBP significantly increased with age and alcohol use. Students in the lowest (5th) and highest percentiles (95th and 75th), for most age groups, demonstrated DBP, BMI, and %BF levels potentially problematic for health and future development of chronic disease based on percentiles generated for their peer group. Newly identified physiologic parameters may be useful to practitioners serving college students 18-25 years old from similar institutions in determining whether behavior change or treatment interventions are appropriate.

Loss-framed minimal intervention increases mammography use.

INTRODUCTION: Although mammography is the most effective early detection breast cancer screening technology available, it is underutilized. This study was conducted to test the effectiveness of a loss-framed minimal intervention to increase mammography use. Loss-frame refers to a communication strategy in which messages are framed from the perspective of what a person has to lose by not taking a particular behavioral action. METHODS: Participants were medically un- and underinsured women 50-64 years old who called one of two urban clinics randomly selected based on demographic statistical equivalency. The women who participated telephoned to inquire about a mammogram during the 6-month study period. The group randomly designated as the experimental group received a loss-framed message conveyed by trained staff telephonically. Members of the comparison group received the "usual" communication, also conveyed telephonically. In the experimental group, 31 of 112 (27%) women who inquired received mammograms, whereas 157 of the 992 (16%) comparison group women who inquired received mammograms. RESULTS: The odds of a mammogram, adjusted for race and breast cancer symptoms, significantly increased for the experimental (odds ratio [OR] = 1.914, chi2 = 7.48, p = .0063, 95% confidence interval [CI] 1.20-3.05) versus comparison group. CONCLUSIONS: A loss-framed, in-reach, minimal intervention approach holds promise as a mammography promotion strategy.

Do social media have a place in public health emergency response?

OBJECTIVES: To ascertain whether analyses of social media trends for various Twitter responses following a major disaster produce implications for improving the focus on public health resources and messaging to disaster victims. METHODS: Radian6 and trend analyses were used to analyze 12-hour counts of Twitter data before, during, and after the March 2011 Japanese earthquake and tsunami. Radian6 was used to organize tweets into categories of preparedness, emergency response, and public health. RESULTS: Radian6 revealed that 49 percent of tweets were either positive or somewhat positive in sentiment about preparedness and only 7 percent were negative or somewhat negative. Trend analyses revealed a rapid onset of tweet activity associated with all keywords followed by mostly fast exponential decline. Analyses indicate that opportunities for improving public health awareness by leveraging social media communications exist for as much as 5 days after a disaster. CONCLUSIONS: Analyses suggest key times for public health social media communication to promote emergency response.

Corporate social marketing: message design to recruit program participants.

OBJECTIVE: To identify variables for a corporate social marketing (SM) health message based on the 4 Ps of SM in order to recruit future participants to an existing national, commercial, self-administered weight-loss program. METHOD: A systematically evaluated, author-developed, 310-response survey was administered to a random sample of 270 respondents. RESULTS: A previously established research plan was used to empirically identify the audience segments and the "marketing mix" appropriate for the total sample and each segment. CONCLUSIONS: Tangible product, pertaining to the unique program features, should be emphasized rather than positive core product and outcome expectation related to use of the program.

Monitoring wildlife-vehicle collisions in the information age: how smartphones can improve data collection.

BACKGROUND: Currently there is a critical need for accurate and standardized wildlife-vehicle collision data, because it is the underpinning of mitigation projects that protect both drivers and wildlife. Gathering data can be challenging because wildlife-vehicle collisions occur over broad areas, during all seasons of the year, and in large numbers. Collecting data of this magnitude requires an efficient data collection system. Presently there is no widely adopted system that is both efficient and accurate. METHODOLOGY/PRINCIPAL FINDINGS: Our objective was to develop and test an integrated smartphone-based system for reporting wildlife-vehicle collision data. The WVC Reporter system we developed consisted of a mobile web application for data collection, a database for centralized storage of data, and a desktop web application for viewing data. The smartphones that we tested for use with the application produced accurate locations (median error = 4.6-5.2 m), and reduced location error 99% versus reporting only the highway/marker. Additionally, mean times for data entry using the mobile web application (22.0-26.5 s) were substantially shorter than using the pen/paper method (52 s). We also found the pen/paper method had a data entry error rate of 10% and those errors were virtually eliminated using the mobile web application. During the first year of use, 6,822 animal carcasses were reported using WVC Reporter. The desktop web application improved access to WVC data and allowed users to easily visualize wildlife-vehicle collision patterns at multiple scales. CONCLUSIONS/SIGNIFICANCE: The WVC Reporter integrated several modern technologies into a seamless method for collecting, managing, and using WVC data. As a result, the system increased efficiency in reporting, improved accuracy, and enhanced visualization of data. The development costs for the system were minor relative to the potential benefits of having spatially accurate and temporally current wildlife-vehicle collision data.

Evaluation of a school-based teen obesity prevention minimal intervention.

OBJECTIVE: A school-based nutrition education minimal intervention (MI) was evaluated. DESIGN: The design was experimental, with random assignment at the school level. SETTING: Seven schools were randomly assigned as experimental, and 7 as delayed-treatment. PARTICIPANTS: The experimental group included 551 teens, and the delayed treatment group included 329 teens. INTERVENTION: The minimal intervention was Present and Prevent, a commercially available PowerPoint program presented in two 30-minute time slots over 1 week. MAIN OUTCOME MEASURES: The dependent variables were nutrition knowledge, attitudes, peer and family influences, behavioral intentions, and program satisfaction. The independent variable was group assignment. ANALYSES: A matched-pairs and 2-sample t test were used respectively to assess within-group and between-group changes. RESULTS: Significant experimental posttest improvements occurred in the following: knowledge (P < .001); intention to maintain a healthy body weight because of importance to friends (P < .001); and intention to eat fewer fried foods, eat fewer sweets, look more at food labels, and limit TV watching (all P < .001). Program satisfaction measures were significantly associated with each of the healthy weight maintenance behavioral intentions. CONCLUSIONS AND IMPLICATIONS: The MI teen obesity prevention program made an impact on nutrition knowledge and positive behavioral intentions in only 2 classroom sessions and was well received by participants.

Evaluation of a "loss-framed" minimal intervention to increase mammography utilization among medically un- and under-insured women.

This study was conducted because mammography is under-utilized, even though it is the most effective early detection screening device for breast cancer. A loss-framed telephonic message based on prospect theory was evaluated for the effects on mammography utilization among medically un- and under-insured women living in demographically similar rural counties in Florida. The sample consisted mostly of White women (approximately 89%) 50-64 years old. Experimental group participants received the loss-framed message telephonically and those in the comparison group received the "usual telephone procedure." Logistic regression analyses revealed that women who received the loss-framed message were six times more likely to obtain a mammogram (OR = 6.6, P < 0.0001). The impact of the loss-framed message persisted even after adjustment for initial versus re-screen mammogram effects. This in-reach, loss-framed, minimal intervention seems to have viability and may serve as an alternative or adjunct program for encouraging women to receive mammograms.

Physiologic Screening Test for Eating Disorders/Disordered Eating Among Female Collegiate Athletes.

OBJECTIVE: To develop and evaluate a physiologic screening test specifically designed for collegiate female athletes engaged in athletic competition or highly athletic performances in order to detect eating disorders/disordered eating. No such physiologically based test currently exists. METHODS: Subjects included 148 (84.5%) of 175 volunteer, National Collegiate Athletic Association Division I (n = 92), club (n = 15), and dance team (n = 41) athletes 18 to 25 years old who attended a large, Midwestern university. Participants completed 4 tests: 2 normed for the general population (Eating Disorders Inventory-2 and Bulimia Test-Revised); a new physiologic test, developed and pilot tested by the investigators, called the Physiologic Screening Test; and the Eating Disorder Exam 12.0D, a structured, validated, diagnostic interview used for criterion validity. RESULTS: The 18-item Physiologic Screening Test produced the highest sensitivity (87%) and specificity (78%) and was superior to the Eating Disorders Inventory-2 (sensitivity = 62%, specificity = 74%) and Bulimia Test-Revised (sensitivity = 27%, specificity = 99%). A substantial number (n = 51, 35%) of athletes were classified as eating disordered/disordered eating. CONCLUSIONS: The Physiologic Screening Test should be considered for screening athletes for eating disorders/disordered eating. The Physiologic Screening Test seems to be a viable alternative to existing tests because it is specifically designed for female athletes, it is brief (4 measurements and 14 items), and validity is enhanced and response bias is lessened because the purpose is less obvious, especially when included as part of a mandatory preparticipation examination.