IntroductionThe COVID-19 pandemic is an unprecedented public health crisis. It is becoming increasingly clear that people’s behavioural responses in the USA during this fast-changing pandemic are associated with their preferred media sources. The polarisation of US media has been reflected in politically motivated messaging around the coronavirus by some media outlets, such as Fox News. This resulted in different messaging around the risks of infection and behavioural changes necessary to mitigate that risk. This study determined if COVID-related behaviours differed according to trust in left-leaning or right-leaning media and how differences changed over the first several months of the pandemic.MethodsUsing the nationally representative Understanding America Study COVID-19 panel, we examine preventive and risky behaviours related to infection from COVID-19 over the period from 10 March to 9 June for people with trust in different media sources: one left-leaning, CNN and another right-leaning, Fox News. People’s media preferences are categorised into three groups: (1) those who trust CNN more than Fox News; (2) those who have equal or no preferences and (3) those who trust Fox News more than CNN.ResultsResults showed that compared with those who trust CNN more than Fox news, people who trust Fox News more than CNN engaged in fewer preventive behaviours and more risky behaviours related to COVID-19. Out of five preventive and five risky behaviours examined, people who trust Fox News more than CNN practised an average of 3.41 preventive behaviours and 1.25 risky behaviours, while those who trust CNN more than Fox News engaged in an average of 3.85 preventive and 0.94 risky behaviours, from late March to June. The difference between these two groups widened in the month of May (p≤0.01), even after controlling for access to professional information and overall diversity of information sources.ConclusionsOur findings indicate that behavioural responses were divided along media bias lines. In such a highly partisan environment, false information can be easily disseminated, and health messaging, which is one of the few effective ways to slowdown the spread of the virus in the absence of a vaccine, is being damaged by politically biased and economically focused narratives. During a public health crisis, media should reduce their partisan stance on health information, and the health messaging from neutral and professional sources based on scientific findings should be better promoted.
Males live shorter lives than women in all countries. The universality of shorter male life expectancy is a 21st Century phenomena. It occurs with the decline in infectious diseases and the rise in cardiovascular diseases accounting for mortality. Male/female differences in morbidity are not as succinctly characterized. Men have a higher prevalence of lethal diseases, which is linked to their lower life expectancy. Women have more non-lethal conditions such as depression and arthritis; which may also be linked in part to longer survival. Men have better physical functioning and less disability which is partly explained by gender differences in diseases and also by their greater strength, size, and stamina. Gender differences in risk factors for disease have changed over time with the prevalence and treatment of risk as well as differential behavior by gender. Examination of what are seen as basic molecular and cellular measures related to aging indicates men age faster than women; however, even these basic biological measures result from a combination of biology, behavior, and social factors.
Objectives: The COVID-19 pandemic greatly impacted the social lives of older adults across several areas, leading to concern about an increase in loneliness. This study examines the associations of structural, functional, and quality aspects of social connection with increased loneliness during COVID-19 and how these associations vary by sociodemographic factors. Design: Secondary data analyses on a nationally representative survey of older US adults. Setting: The 2020 Health and Retirement Study (HRS) COVID-19 module. Participants: The study sample includes 3,804 adults aged 54 or older. Measurements: Increased loneliness was based on respondents’ self-report on whether they felt lonelier than before the COVID-19 outbreak. Results: While 29% felt lonelier after COVID-19, middle-aged adults, women, non-Hispanic Whites, and the most educated were more likely to report increased loneliness. Not having enough in-person contact with people outside the household was associated with increased loneliness (OR = 10.07, p < .001). Receiving emotional support less frequently (OR = 2.28, p < .05) or more frequently (OR = 2.00, p < .001) than before was associated with increased loneliness. Worse quality of family relationships (OR = 1.85, p < .05) and worse friend/neighbor relationships (OR = 1.77, p < .01) were related to feeling lonelier. Significant interactions indicated stronger effects on loneliness of poor-quality family relationships for women and insufficient in-person contact with non-household people for the middle-aged group and non-Hispanic Whites. Conclusions: Our findings show an increase in loneliness during COVID-19 that was partly due to social mitigation efforts, and also uncover how sociodemographic groups were impacted differently, providing implications for recovery and support.
The mass media has been thought to be associated with public opinion, often creating and sustaining stereotypes. However, little is known about the role of media exposure in people’s ageist attitudes, particularly at a cross-national level. This study examines whether the daily use of different media types is associated with personal attitudes towards older people. We analyzed data from 59,103 adults across 54 countries, using the World Value Survey wave 6 (2010-2014). Personal ageist attitudes were assessed by whether participants agree that older people are a burden on society. We used logistic regression, controlling for individual- and country-level factors. Our findings suggest that people’s exposure to media is significantly associated with their attitudes towards older adults, but differently by the platform and respondents’ age. Those who used newspaper (OR:1.66, CI:1.38-1.98), magazines (OR:1.67, CI:1.27-2.20), and radio (OR:1.42, CI:1.23-1.65) were more likely to have negative attitudes toward older people, whereas those who used TV (OR:0.62, CI:0.53-0.72) and internet (OR:0.76, CI:0.65-0.89) were less likely to. Further, the effects of newspaper and radio consumption on people’s attitudes were moderated by respondents’ age. Younger adults’ ageist attitudes had a stronger negative relationship with these media types compared to those that are older. For the older age group, in contrast, more consumption of newspapers and radio are associated with less ageist attitudes. Future studies may focus on the content of each platform and assess their effect on people’s ageist attitudes by age groups in order to understand how to foster a more age-friendly media environment.
The deterioration of the cardiovascular system is a process associated with aging. Most of the prior works have examined changes in cardiometabolic risk (CMR) while aging at the population level using cross-sectional data, but we study within-person changes for total CMR and separate risk factors, including pulse pressure, resting heart rate, C-reactive protein, glycosylated hemoglobin (HbA1c), high-density lipoprotein cholesterol, total cholesterol, waist circumference, and obesity. We examine 8-year changes (from 2006 to 2014) among respondents from the Health and Retirement Study biomarker sample (n=19,776). We use growth curve models to identify differences at baseline and the changes while aging, by age, gender, race/ethnicity, and education. Blacks, the old-old, the less educated, and current smokers have higher baseline CMR. The total CMR increases while people age over 8 years. HbA1c, waist circumference, and pulse pressure increase significantly with age. A reduction in total cholesterol can be observed and is likely due to medication. The CMR increase is no longer significant after accounting for socioeconomic status. The next step of this study is to focus on the disparity of risk distribution, in order to identify the individuals that are most in need of specific care and support.
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