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We investigate how career disruptions in terms of job loss may impact morbidity for individuals diagnosed with type 2 diabetes (T2D). Combining unique, high-quality longitudinal data from the Swedish National Diabetes Register (NDR) with matched employer–employee data, we focus on individuals diagnosed with T2D, who are established on the labor market and who lose their job in a mass layoff. Using a conditional difference-in-differences evaluation approach, our results give limited support for job loss having an impact on health behavior, diabetes progression, and cardiovascular risk factors.

This chapter is structured for teaching young learners with other health impairments in special education. Under the Individuals with Disabilities Education Improvement Act (IDEA, 2004), other health impairments represent chronic or acute health problems such as asthma, attention deficit disorder or attention deficit hyperactivity disorder (ADHD), diabetes, epilepsy, a heart condition, hemophilia, lead poisoning, leukemia, nephritis, rheumatic fever, and sickle cell anemia and adversely affect a child’s educational performance. The chapter is organized around definitions, prevalence, etiologies, intervention strategies, and teaching considerations for selected disabling conditions in this disability category.

This chapter summarizes the knowledge on sleep and restitution. Sleep constitutes the recuperative process of the central nervous system. The use of the brain during wakefulness will lead to depletion of energy in the cortical areas locally responsible for activity. The level of depletion is monitored and sleep is initiated when critical levels are reached. The attempts to initiate sleep are perceived as sleepiness or fatigue. The ensuing sleep then actively restores brain physiology to normal levels. This also results in restored alertness, memory capacity, and mood. Also, peripheral anabolic processes (secretion of growth hormone and testosterone) are strongly enhanced and catabolic process (secretion of cortisol and catecholamines) are strongly suppressed. In the long run, reduced or impaired sleep leads to metabolic diseases, depression, burnout, and mortality. Stress and irregular hours are among the main causes of disturbed sleep.

The purpose of this chapter is to review and synthesise the available evidence for the health benefits of walking. It follows a non-systematic evidence review and finds that the evidence base for the health benefits of walking is growing. Increasingly we are finding strong evidence for the beneficial effects of walking for both individuals and populations. More evidence is required on how to better understand the health outcomes associated with walking and how to promote long term increases in walking behaviour. Systematic reviews of specific health benefits remain rare. Walking should be promoted in all population groups regardless of age or sex. There are currently few existing integrative syntheses of the physical and mental health outcomes associated with walking and this chapter aims to help fill that gap.

Drawing on ethnographic observations of diabetes (self-)management in French-speaking Switzerland and semi-structured interviews with healthcare practitioners, people living with diabetes and their relatives, the chapter aims at shedding light on self-tracking practices of people living with diabetes. It explores the ways people with diabetes measure and learn to recognise body symptoms of hypo- and hyperglycaemia through self-quantification, and act consequently. In particular, the chapter investigates recent medical devices – continuous and flash glucose monitoring systems – that reconfigure the work of health providers and self-care practices. It shows the self-monitoring practices and the resulting self-awareness people living with diabetes develop in interaction with technology and caregivers in order to undertake embodied actions. By pointing out that new technologies have facilitated the access to personal body information and the sharing of it, self-monitoring is also questioned as a form of surveillance, opening up issues of power and control over patients’ behaviours. With regard to this, the chapter illustrates that, occasionally, people with diabetes resist ‘docility’ through micro-powers at the level of everyday life by refusing to engage in their use and by developing personal strategies or ‘tactics’.

Diabetes is a chronic disease and the major types of diabetes are type 1 and type 2. On aging, people with diabetes tend to have long-term problems in hypertension, coronary artery disease, obesity, and nerves. Given the increasing number of complications in recent years, by 2040, 624 million people will have diabetes worldwide and l in 8 adults will have diabetes in the future. Machine learning (ML) is evolving rapidly, many aspects of medical learning use ML. In this study, tension-type headaches (TTH) were associated with diabetes using SPSS, Pearson correlation, and ANOVA tests. Data were collected from Delhi NCR Hospital. It contains 30 diabetic subjects. The purpose of this study was to correlate diabetes analysis from TTH and other diseases using the latest technologies to analyze the Internet of Things and Big Data and Stress Correlation (TTH) on human health. The authors used Pearson correlation to correlate study variables and see if there was any effect between them. There was an important relationship between the percent variable, the total number of individuals, the number of individuals, and the minimum variable. The age (field) of the number of individuals to one of the total number of individuals showed a strong correlation (1.000) with a significant value of p (1.000). Overall, cases of TTH increased with age in men and do not follow the pattern of change in diabetes with age, but in cases of TTH, patterns of headaches such as diabetes increase to age 60 and then tend to decrease.

One of the aspects that characterises neoliberal societies is the increasing attribution of individual responsibility. Citizens are required to commit themselves to adopting ‘appropriate’ lifestyles and to self-managing their health. Individual responsibility translates into a set of knowledge and techniques of self-governance, through which individuals learn and are expected to act in an increasingly autonomous way in order to prevent or mitigate health risks. This fostering of self-governance and individual responsibility affects both children and adults; in accordance with it, adults are required to transmit a sort of model of “pedagogy of responsibility” (Neyrand & Mekboul, 2014), through which children learn to acquire self-management of their health. This scenario becomes complicated if we take into consideration the two usual and contrasting representations of childhood in western societies: children as active subjects, or children as vulnerable subjects. Our work explores these contrasting representations through the narrations of adults and children of their experiences of Type 1 Diabetes.

The role of the school nurse has evolved. It has expanded from administering first aid and promoting hand washing to key participation in program planning for health and educational outcomes for the school-aged child. Nurses provide leadership in promoting a healthy and safe school environment, case management of chronically ill children, collaboration between family and school, and referral to essential community resources. Additionally, the school nurse is a valuable resource on the multidisciplinary special education team. The school nurse is the health care expert in the school and is in a unique position to meet the actual and potential needs of all students – including those with special needs.

Native American (NA) women's health needs in general are underresearched, and use of holistic, community-informed, and resilience-based approaches are rare. Despite extensive documentation of the continuing health inequalities between NA women and the general US population, little research examines what healthcare infrastructure and healthcare provider factors most impact, and exacerbate, these health disparities. The purpose of the study was to provide insight into the healthcare experiences of NA women. A qualitative descriptive research methodology with “hues” of an ethnographic life-history approach was used. Data were collected through qualitative semi-structured life-history interviews with 31 NA women from the Gulf Coast region of the United States. All women identified healthcare obstacles and barriers. These barriers were predominately comprised of Healthcare Infrastructure Barriers, which entailed: (1) Cost and Insurance Barriers; (2) Concerns about Western Medication; (3) Language Barriers; (4) Distance to Medical Facilities or Specialists; and (5) Long-wait Times, and Negative Provider Relationships, which included: (1) Rushed or Rude Provider Interactions; (2) Providers not Listening, or Ignoring Patient Concerns; (3) Poor, Inaccurate, or Inadequate Care or Diagnosis; (4) Discrimination in Healthcare; and (5) The need for Personal Relationships with Providers. These findings suggest that healthcare infrastructure issues and poor healthcare provider relationships are important structural issues that contribute to health disparities. The findings from this study have important implications for the type of training those working in healthcare services receive to be more sensitive to the needs of NA women and suggest that NA women may need unique support when accessing healthcare.