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Facing leadership that kills

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... It seems not unlikely that some sector lobbied politicians for policy positions more favorable to their commercial activities. As Jadad has noted, public health workforces in the United States and elsewhere are within government, and must be responsive to the demands of politicians "out of fear of committing career or financial suicide" (19). Viewed through this lens, the heavy funding of disinformation campaigns during the SARS-CoV-2 pandemic (20), and muddying of the epidemiological landscape through contraction, rather than expansion, of public health surveillance efforts and data sharing (21), may have (intentionally) generated scientific uncertainty where little important uncertainty was initially present, creating a "resource for negotiation" on policy. ...
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Imagine a world in which every human being is healthy until the last breath. Thanks to the fast penetration of digital technologies in every region of the planet, this seemingly utopian scenario is not only feasible but also potentially viable. Now that digital technologies have provided almost full interconnectivity among all humans, they should be used to meet key challenges to ensure that health is created and that it spreads to reach every person on earth. The objective of this article is to describe and trigger a serious discussion of such challenges, which include: adopting a new concept of health; positioning self-rated health as the main outcome of the system; creating a health-oriented model to guide service provision; facilitating the identification, scaling up, and sustaining of innovations that can create and spread health; promoting a culture of health promotion; and encouraging the emergence of Precision Health. Once these challenges are met, and health becomes pandemic, public health would have fulfilled its vision, a healthy life for all, at last.
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To evaluate whether happiness can spread from person to person and whether niches of happiness form within social networks. Longitudinal social network analysis. Framingham Heart Study social network. 4739 individuals followed from 1983 to 2003. Happiness measured with validated four item scale; broad array of attributes of social networks and diverse social ties. Clusters of happy and unhappy people are visible in the network, and the relationship between people's happiness extends up to three degrees of separation (for example, to the friends of one's friends' friends). People who are surrounded by many happy people and those who are central in the network are more likely to become happy in the future. Longitudinal statistical models suggest that clusters of happiness result from the spread of happiness and not just a tendency for people to associate with similar individuals. A friend who lives within a mile (about 1.6 km) and who becomes happy increases the probability that a person is happy by 25% (95% confidence interval 1% to 57%). Similar effects are seen in coresident spouses (8%, 0.2% to 16%), siblings who live within a mile (14%, 1% to 28%), and next door neighbours (34%, 7% to 70%). Effects are not seen between coworkers. The effect decays with time and with geographical separation. People's happiness depends on the happiness of others with whom they are connected. This provides further justification for seeing happiness, like health, as a collective phenomenon.
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The dark side of Health draws uncomfortable lessons from over 300 case studies of events that occurred in the healthcare sector. Health services have many skilled and dedicated professionals but there is a dark side that cannot be ignored. The unthinkable has happened and might have been prevented. The case studies from many countries include serial killers with a health background, drugs and medical devices that proved to be dangerous, negligent and poor clinical practice as well as incompetent and weak management. The focus is learning not blame.
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This paper discusses different aspects of whistleblowers and how ICT can encourage whistleblowing. Reporting a misconduct at work should never be underestimated as a little spark can grow to a flame in a short time. There is a positive impact of using ICT framework when dealing with whistleblowing at work. The act presented in the paper consists of six components, the first component is creating an online reporting tool that streamlines the allegation process by providing a single reporting mechanism for whistleblowers with possible anonymous reporting functionality. Second is stating that any act that harms the organization considered a malpractice and will be treated seriously with complete discretion about the whistleblower. Third is the organization is vowed to protect reporters and treat information with great confidentiality while conducting inspection process through the online reporting tool. Fourth is penalties for claiming a false allegation. Fifth is awards for reporting depending on reflection report from inspection committee personnel who are utilizing data from the online reporting tool. Finally, clear way of conducting interrogation with stakeholders with utmost respect and value their privacy.
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This Viewpoint advocates worldwide policy changes that encourages walking and bicycling and promotes healthful eating by such measures as taxing junk food and subsidizing nutritious food to curb the diabetes epidemic. The pandemic of diabetes poses an enormous public health challenge for almost every country across the globe.¹,2 In 2014, more than 380 million people were living with diabetes worldwide, representing 8.3% of the global adult population.¹ This number is expected to increase to 592 million by 2035.¹ Diabetes is no longer a disease of the affluent, with lower socioeconomic groups being disproportionately affected in high-income countries and with 77% of the world’s diabetic population living in low- and middle-income countries. It is also no longer predominantly a disease of older persons, with almost half of the people with diabetes in the 40- to 59-year age range. Low- and middle-income countries face the added challenge of dealing with a dual burden of disease, as they are seeing an increase in obesity and diabetes levels, while still grappling with undernutrition and infectious diseases.³
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The prevalence of obesity has increased substantially over the past 30 years. We performed a quantitative analysis of the nature and extent of the person-to-person spread of obesity as a possible factor contributing to the obesity epidemic. We evaluated a densely interconnected social network of 12,067 people assessed repeatedly from 1971 to 2003 as part of the Framingham Heart Study. The body-mass index was available for all subjects. We used longitudinal statistical models to examine whether weight gain in one person was associated with weight gain in his or her friends, siblings, spouse, and neighbors. Discernible clusters of obese persons (body-mass index [the weight in kilograms divided by the square of the height in meters], > or =30) were present in the network at all time points, and the clusters extended to three degrees of separation. These clusters did not appear to be solely attributable to the selective formation of social ties among obese persons. A person's chances of becoming obese increased by 57% (95% confidence interval [CI], 6 to 123) if he or she had a friend who became obese in a given interval. Among pairs of adult siblings, if one sibling became obese, the chance that the other would become obese increased by 40% (95% CI, 21 to 60). If one spouse became obese, the likelihood that the other spouse would become obese increased by 37% (95% CI, 7 to 73). These effects were not seen among neighbors in the immediate geographic location. Persons of the same sex had relatively greater influence on each other than those of the opposite sex. The spread of smoking cessation did not account for the spread of obesity in the network. Network phenomena appear to be relevant to the biologic and behavioral trait of obesity, and obesity appears to spread through social ties. These findings have implications for clinical and public health interventions.
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Decades ago, discussion of an impending global pandemic of obesity was thought of as heresy. But in the 1970s, diets began to shift towards increased reliance upon processed foods, increased away-from-home food intake, and increased use of edible oils and sugar-sweetened beverages. Reductions in physical activity and increases in sedentary behavior began to be seen as well. The negative effects of these changes began to be recognized in the early 1990s, primarily in low- and middle-income populations, but they did not become clearly acknowledged until diabetes, hypertension, and obesity began to dominate the globe. Now, rapid increases in the rates of obesity and overweight are widely documented, from urban and rural areas in the poorest countries of sub-Saharan Africa and South Asia to populations in countries with higher income levels. Concurrent rapid shifts in diet and activity are well documented as well. An array of large-scale programmatic and policy measures are being explored in a few countries; however, few countries are engaged in serious efforts to prevent the serious dietary challenges being faced.
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THE GREAT MORTALITY AMONG CHILDREN of the working class, and especially among those of the factory operatives, is proof enough of the unwholesome conditions under which they pass their first years. These influences are at work, of course, among the children who survive, but not quite so powerfully as upon those who succumb. The result in the most favourable case is a tendency to disease, or some check in development, and consequent less than normal vigour of the constitution. A nine-year-old child of a factory operative that has grown up in want, privation, and changing conditions, in cold and damp, with insufficient clothing and unwholesome dwellings, is far from having the working strength of a child brought up under healthier conditions. At nine years of age it is sent into the mill to work 61/2 hours (formerly 8, earlier still, 12 to 14, even 16 hours) daily, until the thirteenth year; then twelve hours until the eighteenth year. The old enfeebling influences continue, while the work is added to them. . . . but in no case can its [the child’s] presence in the damp, heavy air of the factory, often at once warm and wet, contribute to good health; and, in any case, it is unpardonable to sacrifice to the greed of an unfeeling bourgeoisie the time of children which should be devoted solely to their physical and mental development, and to withdraw them from school and the fresh air in order to wear them out for the benefit of the manufacturers. . . .
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The prevalence of smoking has decreased substantially in the United States over the past 30 years. We examined the extent of the person-to-person spread of smoking behavior and the extent to which groups of widely connected people quit together. We studied a densely interconnected social network of 12,067 people assessed repeatedly from 1971 to 2003 as part of the Framingham Heart Study. We used network analytic methods and longitudinal statistical models. Discernible clusters of smokers and nonsmokers were present in the network, and the clusters extended to three degrees of separation. Despite the decrease in smoking in the overall population, the size of the clusters of smokers remained the same across time, suggesting that whole groups of people were quitting in concert. Smokers were also progressively found in the periphery of the social network. Smoking cessation by a spouse decreased a person's chances of smoking by 67% (95% confidence interval [CI], 59 to 73). Smoking cessation by a sibling decreased the chances by 25% (95% CI, 14 to 35). Smoking cessation by a friend decreased the chances by 36% (95% CI, 12 to 55 ). Among persons working in small firms, smoking cessation by a coworker decreased the chances by 34% (95% CI, 5 to 56). Friends with more education influenced one another more than those with less education. These effects were not seen among neighbors in the immediate geographic area. Network phenomena appear to be relevant to smoking cessation. Smoking behavior spreads through close and distant social ties, groups of interconnected people stop smoking in concert, and smokers are increasingly marginalized socially. These findings have implications for clinical and public health interventions to reduce and prevent smoking.
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