scholarly journals Characteristics of Adults� Use of Facebook and the Potential Impact on Health Behavior: Secondary Data Analysis (Preprint)

2017 ◽  
Author(s):  
Kelly Bosak ◽  
Shin Hye Park
Keyword(s):  
Logistic Regression ◽  
Health Behavior ◽  
Health Behaviors ◽  
Age Groups ◽  
Daily Routine ◽  
Age Group ◽  
Positive Health ◽  
Future Health ◽  
Facebook Use ◽  
Over Time

BACKGROUND Social influences are a primary factor in the adoption of health behaviors. Social media platforms, such as Facebook, disseminate information, raise awareness, and provide motivation and support for positive health behaviors. Facebook has evolved rapidly and is now a part of many individuals' daily routine. The high degree of individual engagement and low attrition rate of this platform necessitate consideration for a potentially positive impact on health behavior. OBJECTIVE The aim of this paper is to investigate the use of Facebook by adults. Knowledge is limited to the unique characteristics of Facebook users, including time spent on Facebook by adults of various age groups. Characteristics of Facebook users are important to understand to direct efforts to engage adults in future health behavior interventions. METHODS Institutional Review Board approval was obtained for this secondary analysis of existing de-identified survey data collected for the Pew Research Center. The sample included adults age 18-65 years and above. Binomial logistic regression was performed for the model of age group and Facebook use, controlling for other demographics. A multinomial logistic regression model was used for the variable of time spent on Facebook. Based on the regression models, we computed and reported the marginal effects on Facebook use and time spent of adults age groups, including age groups 18-29, 30-49, 50-64, and 65 and over. We discuss these findings in the context of the implications for promoting positive health behaviors. RESULTS The demographics of the final sample (N=730) included adults age 18-65 years and above (mean 48.2 yrs, SD 18.3 yrs). The majority of the participants were female (372/730, 50.9%), white (591/730, 80.9%) and non-Hispanic (671/730, 91.9%). Bivariate analysis indicated that Facebook users and nonusers differed significantly by age group (χ2=76.71, P<.001) and sex (χ2=9.04, P=.003). Among subjects aged 50 and above, the predicted probability was 66% for spending the same amount of time, 10% with increased time, and 24% with decreased time. CONCLUSIONS The key findings of this study were Facebook use among midlife and older adults was more likely to stay the same over time, compared to the other age groups. Interestingly, the young adult age group 18-29 years was more likely to decrease their time on Facebook over time. Specifically, younger females were most likely to decrease time spent on Facebook. In general, male participants were most likely to spend the same amount of time on Facebook. These findings have implications for future health intervention research, and ultimately, for translation to the clinic setting to improve health outcomes.

Depression and Health Behavior of Adolescents

1987 ◽  
Vol 61 (1) ◽  
pp. 111-113 ◽  
Author(s):  
Robert J. McDermott ◽  
Wesley E. Hawkins ◽  
David F. Duncan
Keyword(s):  
Mental Health ◽  
Health Behavior ◽  
Health Behaviors ◽  
Canonical Correlation ◽  
Age Group ◽  
Positive Health ◽  
Symptoms Of Depression ◽  
Canonical Variates ◽  
The Relationship

This study examined the relationship between two sets of variables, symptoms of depression and health behaviors of adolescents. Analysis using canonical correlation produced two significant canonical variates. Results suggest that addressing symptoms of negative mental health in adolescents may be an important step toward facilitating positive health behaviors in this age group.

scholarly journals OP0248 PREMATURE MORTALITY BURDEN FOR SYSTEMIC SCLEROSIS: NATIONWIDE POPULATION-BASED STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 156.1-156
Author(s):  
E. Yen ◽  
D. Singh ◽  
M. Wu ◽  
R. Singh
Keyword(s):  
Rheumatoid Arthritis ◽  
United States ◽  
Disease Burden ◽  
Age Groups ◽  
Premature Mortality ◽  
Population Based ◽  
Age Group ◽  
Population Based Study ◽  
Mortality Burden ◽  
Over Time

Background:Premature mortality is an important way to quantify disease burden. Patients with systemic sclerosis (SSc) can die prematurely of disease, however, the premature mortality burden of SSc is unknown. The years of potential life lost (YPLL), in addition to age-standardized mortality rate (ASMR) in younger ages, can be used as measures of premature death.Objectives:To evaluate the premature mortality burden of SSc by calculating: 1) the proportions of SSc deaths as compared to deaths from all other causes (non-SSc) by age groups over time, 2) ASMR for SSc relative to non-SSc-ASMR by age groups over time, and 3) the YPLL for SSc relative to other autoimmune diseases.Methods:This is a population-based study using a national mortality database of all United States residents from 1968 through 2015, with SSc recorded as the underlying cause of death in 46,798 deaths. First, we calculated the proportions of deaths for SSc and non-SSc by age groups for each of 48 years and performed joinpoint regression trend analysis1to estimate annual percent change (APC) and average APC (AAPC) in the proportion of deaths by age. Second, we calculated ASMR for SSc and non-SSc causes and ratio of SSc-ASMR to non-SSc-ASMR by age groups for each of 48 years, and performed joinpoint analysis to estimate APC and AAPC for these measures (SSc-ASMR, non-SSc-ASMR, and SSc-ASMR/non-SSc-ASMR ratio) by age. Third, to calculate YPLL, each decedent’s age at death from a specific disease was subtracted from an arbitrary age limit of 75 years for years 2000 to 2015. The years of life lost were then added together to yield the total YPLL for each of 13 preselected autoimmune diseases.Results:23.4% of all SSc deaths as compared to 13.5% of non-SSc deaths occurred at <45 years age in 1968 (p<0.001, Chi-square test). In this age group, the proportion of annual deaths decreased more for SSc than for non-SSc causes: from 23.4% in 1968 to 5.7% in 2015 at an AAPC of -2.2% (95% CI, -2.4% to -2.0%) for SSc, and from 13.5% to 6.9% at an AAPC of -1.5% (95% CI, -1.9% to -1.1%) for non-SSc. Thus, in 2015, the proportion of SSc and non-SSc deaths at <45 year age was no longer significantly different. Consistently, SSc-ASMR decreased from 1.0 (95% CI, 0.8 to 1.2) in 1968 to 0.4 (95% CI, 0.3 to 0.5) per million persons in 2015, a cumulative decrease of 60% at an AAPC of -1.9% (95% CI, -2.5% to -1.2%) in <45 years old. The ratio of SSc-ASMR to non-SSc-ASMR also decreased in this age group (cumulative -20%, AAPC -0.3%). In <45 years old, the YPLL for SSc was 65.2 thousand years as compared to 43.2 thousand years for rheumatoid arthritis, 18.1 thousand years for dermatomyositis,146.8 thousand years for myocarditis, and 241 thousand years for type 1 diabetes.Conclusion:Mortality at younger ages (<45 years) has decreased at a higher pace for SSc than from all other causes in the United States over a 48-year period. However, SSc accounted for more years of potential life lost than rheumatoid arthritis and dermatomyositis combined. These data warrant further studies on SSc disease burden, which can be used to develop and prioritize public health programs, assess performance of changes in treatment, identify high-risk populations, and set research priorities and funding.References:[1]Yen EY….Singh RR. Ann Int Med 2017;167:777-785.Disclosure of Interests:None declared

scholarly journals Predictive Value of Technical Throwing Skills on Nomination Status in Youth and Long-Term Career Attainment in Handball

2022 ◽  
Vol 8 (1) ◽  
Author(s):  
Till Koopmann ◽  
Franziska Lath ◽  
Dirk Büsch ◽  
Jörg Schorer
Keyword(s):  
Logistic Regression ◽  
National Level ◽  
Age Groups ◽  
Age Group ◽  
Regression Analyses ◽  
Chi Square ◽  
Career Attainment ◽  
Future Performance ◽  
Younger Age

Abstract Background Research on talent in sports aims to identify predictors of future performance. This study retrospectively investigated 1) relationships between young handball field players’ technical throwing skills and (a) their potential nomination to youth national teams and (b) their long-term career attainment 10 years later, and 2) associations between nomination status and career attainment. Results Results from retrospectively predicting nomination status and career attainment using logistic regression analyses show that technical throwing skills were partly able to explain players’ nomination status (Nagelkerke R2: females 9.2%, males 13.1%) and career attainment (Nagelkerke R2: 9.8% for female players). Here, variables throwing velocity and time on exercise showed statistically significant effects. In addition, nomination status and career attainment were shown to be associated using chi-square tests (w of .37 and .23 for female and male players, respectively) and nomination status as a predictor increased the prediction of career attainment remarkably (Nagelkerke R2: females 20.3%, males 12.7%). Conclusions Given these results, basic technical throwing skills may serve rather as a prerequisite in this age group on national level, emphasizing its importance already on lower levels and in younger age groups. Furthermore, advantages from entering the national TID system early especially for females are discussed.

scholarly journals Secular trends in emergency department encounters for concussion at US children's hospitals by age group (2008–2017)

Neurology ◽  
2018 ◽  
Vol 91 (23 Supplement 1) ◽  
pp. S22.2-S22
Author(s):  
Amy Linabery ◽  
Kara Seaton ◽  
Alicia Zagel ◽  
Alicen Spaulding ◽  
Gretchen Cutler ◽  
...  
Keyword(s):  
Emergency Department ◽  
Public Awareness ◽  
Weighted Least Squares ◽  
Age Groups ◽  
Secular Trends ◽  
Medical Attention ◽  
Age Group ◽  
Admission Rates ◽  
Pediatric Hospitals ◽  
Over Time

BackgroundIncreased concussion rates in US youth have been documented since 2000. Concomitant rises in healthcare utilization for concussion are likely attributable to public health, media, and legislative initiatives aimed at increasing public awareness of the importance of seeking medical attention after injury. Utilization trends in young children have not been well-documented, however.ObjectiveTo characterize recent secular trends in pediatric emergency department (ED) encounters for concussion by 4-year age group.MethodsUsing Children's Hospital Association's Pediatric Health Information System data, we examined a retrospective cohort of patients aged 2–17 years with an ED encounter for concussion at 22 US pediatric hospitals with continuous data between 2008 and 2017. Average annual change in rates of ED visits for concussion and sports-/recreation-related concussion, imaging, and admissions were estimated via weighted least-squares regression.ResultsED encounters with a primary indication of concussion comprised 0.8% (n = 86,393) of all ED encounters in 2008–2017. Over time, ED concussion visits in 6–17-year-olds increased by 0.5–1.1 per 1,000 ED encounters per year (all Ptrend< 0.0001), while rates among 2-5-year-olds remained stable (Ptrend = 0.72). Rates for sports-/recreation-related concussions increased significantly across all age groups (<0.0001 ≤ Ptrend ≤ 0.01). Absolute number undergoing any imaging increased in all age groups; however, due to increased ED concussion encounters, the rate of imaging decreased overall (−29.7/1,000 ED concussion encounters/year; Ptrend < 0.0001) and across all age groups; the imaging rate decreased less for 2-5-year-olds (−19.6/1,000 encounters/year; Ptrend < 0.0001). Likewise, admission rates declined significantly over time overall (−10.1/1,000 encounters/y; Ptrend = 0.0006) and for all age groups.ConclusionsED concussion encounter rates in US youth aged 6–17 years continue to increase at pediatric hospitals, suggesting awareness efforts have been effective. Conversely, imaging and admission rates have decreased, indicating efforts to curtail unnecessary irradiation and intervention have also been successful. Trends in 2-5-year-olds were somewhat different from older youth and should be explored further.

scholarly journals Contact surveys reveal heterogeneities in age-group contributions to SARS-CoV-2 dynamics in the United States

2021 ◽  
Author(s):  
Taylor Chin ◽  
Dennis M. Feehan ◽  
Caroline O. Buckee ◽  
Ayesha S. Mahmud
Keyword(s):  
United States ◽  
Age Groups ◽  
The United States ◽  
Contact Rate ◽  
Age Group ◽  
Contact Rates ◽  
Contact Patterns ◽  
Age Structured ◽  
The Impact ◽  
Over Time

SARS-CoV-2 is spread primarily through person-to-person contacts. Quantifying population contact rates is important for understanding the impact of physical distancing policies and for modeling COVID-19, but contact patterns have changed substantially over time due to shifting policies and behaviors. There are surprisingly few empirical estimates of age-structured contact rates in the United States both before and throughout the COVID-19 pandemic that capture these changes. Here, we use data from six waves of the Berkeley Interpersonal Contact Survey (BICS), which collected detailed contact data between March 22, 2020 and February 15, 2021 across six metropolitan designated market areas (DMA) in the United States. Contact rates were low across all six DMAs at the start of the pandemic. We find steady increases in the mean and median number of contacts across these localities over time, as well as a greater proportion of respondents reporting a high number of contacts. We also find that young adults between ages 18 and 34 reported more contacts on average compared to other age groups. The 65 and older age group consistently reported low levels of contact throughout the study period. To understand the impact of these changing contact patterns, we simulate COVID-19 dynamics in each DMA using an age-structured mechanistic model. We compare results from models that use BICS contact rate estimates versus commonly used alternative contact rate sources. We find that simulations parameterized with BICS estimates give insight into time-varying changes in relative incidence by age group that are not captured in the absence of these frequently updated estimates. We also find that simulation results based on BICS estimates closely match observed data on the age distribution of cases, and changes in these distributions over time. Together these findings highlight the role of different age groups in driving and sustaining SARS-CoV-2 transmission in the U.S. We also show the utility of repeated contact surveys in revealing heterogeneities in the epidemiology of COVID-19 across localities in the United States.

The Influence of Age and Experience on the Performance of a Data Entry Task

1997 ◽  
Vol 41 (1) ◽  
pp. 144-147 ◽  
Author(s):  
Sara J. Czaja ◽  
Joseph Sharit
Keyword(s):  
Task Performance ◽  
Age Differences ◽  
Age Groups ◽  
Data Entry ◽  
Age Effects ◽  
Group Differences ◽  
Age Group ◽  
Age Related ◽  
Task Experience ◽  
Over Time

Findings from research examining age and computer task performance indicate that older people perform less well than younger people on these types of tasks. The present study examined whether age-related performance differences are maintained with task experience. To address this issue one hundred and ten subjects, ranging in age from 20—75 yrs., performed a data entry task over a three day period. The task represented a simulation of a real world job. The data indicated significant age differences in work output (amount of data entered). Further, although there were significant improvements in performance with increased task experience across subjects, age group differences were maintained over time. With respect to errors there were no age effects and there was a significant reduction in errors across the three days. However, the pattern of change varied across age groups. These results are consistent with other studies which suggest that experience does not compensate for age effects for tasks which emphasize speed of processing.

scholarly journals Can age-distribution be an indicator of the goodness of COVID-19 testing?

2020 ◽  
Author(s):  
Amirhoshang Hoseinpour Dehkordi ◽  
Reza Nemati ◽  
Pouya Tavousi
Keyword(s):  
Lower Bound ◽  
Age Distribution ◽  
Age Groups ◽  
Estimation Method ◽  
Developed Countries ◽  
Age Group ◽  
Testing Strategies ◽  
Reported Data ◽  
Over Time ◽  
Mitigation Policies

AbstractIt has been evident that the faster, more accurate, and more comprehensive testing can help policymakers assess the real impact of COVID-19 and help them with when and how strict the mitigation policies should be. Nevertheless, the exact number of infected ones could not be measured due to the lack of comprehensive testing. In this paper, first of all, we will investigate the relation of transmission of COVID-19 with age by observing timed data in multiple countries. Then, we compare the COVID-19 CFR with the age-demography data. and as a result, we have proposed a method for estimating a lower bound for the number of positive cases by using the reported data on the oldest age group and the regions’ population age-distributions. The proposed estimation method improved the expected similarity between the age-distribution of positive cases and regions’ populations. Thus, using the publicly accessible data for several developed countries, we show how the improvement of testing over the course of several months has made it clear for the community that different age groups are equally prone to becoming COVID positive. The result shows that the age demography of COVID-19 gets similar to the age-demography of the population, together with the reduction of CFR over time. In addition, countries with less CFR have more similar COVID-19’s age-distribution, which is caused by more comprehensive testing, than ones who have higher CFR. This leads us to a better estimation for positive cases in different testing strategies. Having knowledge of this fact helps policymakers enforce more effective policies for controlling the spread of the virus.

scholarly journals Positive Health Behaviors and Their Determinants Among Men Active on the Labor Market in Poland

2020 ◽  
Vol 14 (1) ◽  
pp. 155798831989923
Author(s):  
Katarzyna Hildt-Ciupińska ◽  
Karolina Pawłowska-Cyprysiak
Keyword(s):  
Labor Market ◽  
Health Behavior ◽  
Health Behaviors ◽  
Work Ability ◽  
Economic Status ◽  
Well Being ◽  
Work Conditions ◽  
Positive Health ◽  
Work Ability Index ◽  
Men Health

This paper reports on results from research conducted on health behaviors undertaken of men. Health behavior is one of the determinants of our health. The way in which people care for their health affects not only their health, but also their well-being, quality of life, and work ability. The lifestyle and health behavior have a significant impact on health, whereas a lack of pro-health behavior may cause the risk of many diseases and mortality, especially among men. The aim of the study was to define the determinants of positive health behaviors among men aged 20–65, active on the labor market. To check the attitudes of men toward health and health behavior, a questionnaire-based research has been carried out among 600 men active on the labor market. Several tools were used: Positive Health Behaviour Scale (Woynarowska-Sołdan & Węziak-Białowolska, 2012), Work Ability Index (Tuomi et al., 1998), work–life balance—with the Copenhagen Psychosocial Questionnaire (subscale “Work-home conflict”) (Kristensen & Borg, 2005), Multidimensional Health Locus of Control (Wallston & Wallston, 1978, in polish adaptation Juczyński, 2001), Inventory for Psychological Sex Assessment (Kuczyńska, 2012) and Personal Values (Juczyński, 2001), and questionnaire “Work conditions” (developed in CIOPPIB). These studies have shown which factors determine their health behavior. The positive health behaviors of men were associated with good economic status, high self-assessment of care for health, positive opinions about life and work, and masculinity. They were also white-collar workers with good work ability.

Healthful Behaviors: Do They Protect African-American, Urban Preadolescents from Abusable Substance Use?

1993 ◽  
Vol 7 (5) ◽  
pp. 354-363 ◽  
Author(s):  
Mary Ann D'Elio ◽  
Diane J. Mundt ◽  
Patricia J. Bush ◽  
Ronald J. Iannotti
Keyword(s):  
Socioeconomic Status ◽  
Substance Use ◽  
African American ◽  
Academic Performance ◽  
Health Behavior ◽  
Health Behaviors ◽  
Parental Knowledge ◽  
Self Esteem ◽  
Positive Health ◽  
Personal Use

Purpose. Relationships between positive health behaviors and abusable substance use in preadolescent, urban, African-American schoolchildren were investigated. Design. Personal interviews and classroom surveys were used to assess health behavior and abusable substance use cross-sectionally. Setting. All respondents resided in the District of Columbia and attended the public school system. Subjects. The sample consisted of 303 urban, African-American fourth and fifth graders (151 boys, 152 girls). Measures. Classroom surveys assessed drinking, drinking without parental knowledge, smoking, use of other abusable substances, friends' use, self-esteem, and academic performance. Personal interviews assessed children's diet, exercise, overall health behavior, and socioeconomic status. Results. Logistic regressions showed that children who engaged in more health behaviors (exercise and proper nutrition) were one-third less likely to have smoked (OR=0.66) or to have drunk alcohol (OR=0.63) than those who engaged in fewer healthful activities. However, when gender, socioeconomic status, self-esteem, academic performance, personal use, and friends' use of other abusable substances were controlled, relationships were no longer statistically significant. Conclusions. These findings suggest that although positive health behaviors appear to be inversely related to abusable substance use in urban, African-American préadolescents, the relationship may be spurious.

Assessing the Relationship Between Religious Involvement and Health Behaviors

2016 ◽  
Vol 44 (2) ◽  
pp. 278-284 ◽  
Author(s):  
Neal Krause ◽  
Peter C. Hill ◽  
Robert Emmons ◽  
Kenneth I. Pargament ◽  
Gail Ironson
Keyword(s):  
Health Behavior ◽  
Health Behaviors ◽  
Fruits And Vegetables ◽  
Religious Involvement ◽  
The Body ◽  
Control Beliefs ◽  
Strenuous Exercise ◽  
Positive Health ◽  
Study Participants ◽  
The Relationship

A growing body of research suggests that people who are more deeply involved in religion may be more likely to adopt beneficial health behaviors. However, religion is a complex phenomenon, and as a result, religion may affect health behaviors in a number of ways. The purpose of the current study was to see whether a sacred view of the body (i.e., belief that the body is the temple of God) is associated with better health behavior. It was proposed that the relationship between a sacred body view and health behavior will emerge only among study participants who have a stronger sense of religiously oriented control (i.e., stronger God-mediated control beliefs). Five positive health behaviors were evaluated: more frequent strenuous exercise, more frequent moderate exercise, more frequent consumption of fruits and vegetables, higher quality sleep, and the adoption of healthy lifestyles. Data from a recent nationwide sample reveal that a sacred body view is associated with each health behavior, but only among study participants who have a strong religiously oriented sense of control.

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