Concept: Demographic profile
To determine the demographic profile of fast-food consumers among adult Singapore residents and ascertain whether fast-food consumption frequency is associated with diet quality and weight status.
The present study was initiated because of concerns expressed by NHLBI-funded mid-career investigators regarding perceived difficulties in the renewal of their grant awards. This led us to ask: “Are mid-career investigators experiencing disproportionate difficulties in the advancement of their professional careers?” Our portfolio analysis indicates that there has been a significant and evolving shift in the demographics of research project grant (RPG) awardees at NHLBI. In 1998, mid-career (ages 41-55) investigators constituted approximately 60% of all investigators with the remaining 40% being equally divided between early-stage (ages 24-40) investigators and established (ages 56 to 70 and older) investigators. However, since 1998, the proportion of established RPG awardees has been increasing in a slowly progressive and strikingly linear fashion. At the same time the proportion of early-stage awardees fell precipitously until 2006 and then stabilized. During the same period, the proportion of mid-career awardees, which had been relatively stable through 2006, began to fall significantly. In examining potential causes of these demographic shifts we have identified certain inherent properties within the RPG award system that appear to promote an increasingly more established awardee population and a persistent decrease in the proportion of mid-career investigators. A collateral result of these demographic shifts, when combined with level or declining funding, is a significant reduction in the number of RPG awards received by NHLBI mid-career investigators and a corresponding decrease in the number of independent research laboratories.
An increasing number of patients from diverse demographic groups share and search for health-related information on Web-based social media. However, little is known about the content of the posted information with respect to the users' demographics.
Texting and other cell-phone related distracted driving is estimated to account for thousands of motor vehicle collisions each year but studies examining the specific cell phone reading and writing activities of drivers are limited. The objective of this study was to describe the frequency of cell-phone related distracted driving behaviors. A national, representative, anonymous panel of 1211 United States drivers was recruited in 2015 to complete the Distracted Driving Survey (DDS), an 11-item validated questionnaire examining cell phone reading and writing activities and at what speeds they occur. Higher DDS scores reflect more distraction. DDS scores were analyzed by demographic data and self-reported crash rate. Nearly 60% of respondents reported a cell phone reading or writing activity within the prior 30 days, with reading texts (48%), writing texts (33%) and viewing maps (43%) most frequently reported. Only 4.9% of respondents had enrolled in a program aimed at reducing cell phone related distracted driving. DDS scores were significantly correlated to crash rate (p < 0.0001), with every one point increase associated with an additional 7% risk of a crash (p < 0.0001). DDS scores were inversely correlated to age (p < 0.0001). The DDS demonstrated high internal consistency (Cronbach's alpha = 0.94). High rates of cell phone-related distraction are reported here in a national sample. Distraction is associated with crash rates and occurs across all age groups, but is highest in younger drivers. The DDS can be used to evaluate the impact of public health programs aimed at reducing cell-phone related distracted driving.
The quantification of parasite movements can provide valuable information for control strategy planning across all transmission intensities. Mobile parasite carrying individuals can instigate transmission in receptive areas, spread drug resistant strains and reduce the effectiveness of control strategies. The identification of mobile demographic groups, their routes of travel and how these movements connect differing transmission zones, potentially enables limited resources for interventions to be efficiently targeted over space, time and populations.
OBJECTIVE:To examine the effect of parental television viewing on children’s television viewing compared with traditional predictors such as household television access, parental rules, and demographic characteristics of the child, parent, and household.METHODS:An online survey using national samples of 1550 parents with children in 3 age groups (children ≤5 years, children aged 6-11 years, and adolescents aged 12-17 years), weighted to be representative of US parents with children in each age group. Adolescents (n = 629) of participating parents were also surveyed.RESULTS:Parent television time is associated with child television time and had a stronger relationship to child time than access to television in the home or the child’s bedroom, as well as parental rules about television viewing and coviewing. This pattern persisted across all age groups of children.CONCLUSIONS:Educating parents about the relationship between their own and their child’s viewing may be a useful strategy for interventions that aim to reduce children’s excessive television viewing. Additionally, health professionals can engage parents in a discussion about how family television time is associated with increased television time for children.
Understanding the relationship between physiological measurements from human subjects and their demographic data is important within both the biometric and forensic domains. In this paper we explore the relationship between measurements of the human hand and a range of demographic features. We assess the ability of linear regression and machine learning classifiers to predict demographics from hand features, thereby providing evidence on both the strength of relationship and the key features underpinning this relationship. Our results show that we are able to predict sex, height, weight and foot size accurately within various data-range bin sizes, with machine learning classification algorithms out-performing linear regression in most situations. In addition, we identify the features used to provide these relationships applicable across multiple applications.
The role of fathers in the development of obesity in their offspring remains poorly understood. We evaluated associations of missing paternal demographic information on birth certificates with perinatal risk factors for childhood obesity.
ABSTRACT Background: Previous research has shown that healthy behaviors, such as regular physical exercise, a nutritious diet, and not smoking, are associated with a lower risk for Alzheimer’s disease and dementia. However, less is known about the potential link between healthy behaviors and mild memory symptoms that may precede dementia in different age groups. Methods: A daily telephone survey (Gallup-Healthways Well-Being Index) of US residents yielded a random sample of 18,552 respondents ranging in age from 18 to 99 years, including 4,423 younger (age 18-39 years), 6,356 middle-aged (40-59 years), and 7,773 older (60-99 years) adults. The questionnaire included demographic information and the Healthy Behavior Index (questions on smoking, eating habits, and frequency of exercise). General linear models and logistic regressions were used in the analysis. Results: Older adults were more likely to report healthy behaviors than were middle-aged and younger adults. Reports of memory problems increased with age (14% of younger, 22% of middle-aged, and 26% of older adults) and were inversely related to the Healthy Behavior Index. Reports of healthy eating were associated with better memory self-reports regardless of age, while not smoking was associated with better memory reports in the younger and middle-aged and reported regular exercise with better memory in the middle-aged and older groups. Conclusions: These findings indicate a relationship between reports of healthy behaviors and better self-perceived memory abilities throughout adult life, suggesting that lifestyle behavior habits may protect brain health and possibly delay the onset of memory symptoms as people age.
There are approximately 400 000 National Collegiate Athletic Association (NCAA) student athletes and 5-7 million high school student athletes competing each year. According to the US Department of Health and Human Services, the depression prevalence rate for young adults, which ranges from 10% to 85% across studies, is higher than that of other age groups. Given the relatively high prevalence of depression in individuals of collegiate age in the general population, the prevalence of depression among athletes in this age group warrants further study. This multiyear study examined the prevalence of depressive symptoms in college athletes, as well as demographic factors related to increased or decreased rates of depressive symptoms by gender and sport.