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Digital mental health interventions (DMHIs) are promising alternatives to traditional face-to-face psychological interventions to improve psychological outcomes in various chronic health conditions. However, their efficacy among people with diabetes is yet to be established. Therefore, this narrative review aims to identify the importance and need for evidence-based research on DMHIs targeting the psychological outcomes in people with diabetes.

Using a narrative review approach, this study highlights the technological advancements in diabetes health care and identifies a need for developing DMHIs for people with diabetes.

DMHIs are promising for improving psychological outcomes in people with diabetes. However, there is a need for further rigorous, controlled and high-quality diabetes-focused studies, to make firm conclusions on the effectiveness and appropriateness of DMHIs for patients with diabetes. This review also suggests that DMHIs based on psychological theories and studies with higher quality methodologies are also needed.

This review highlights the contemporary literature on diabetes and related technological advancements. The findings of this study serve as a basis of the improvement of policy on digital mental health services for people with diabetes, to impact the global burden of the disease.

There has been an increase in research exploring the area of intellectual and developmental disabilities (IDD) and diabetes. Despite being described as instrumental to diabetes care for people with IDD, the role and experiences of family carers, such as parents and siblings, are often neglected in this research. However, it is clear that family carers do not feel that they have sufficient knowledge about diabetes. The purpose of this commentary is to extend the content from “Diabetes and people with learning disabilities: Issues for policy, practice, and education (Maine et al., 2020)” and discuss how family carers can feel better supported when caring for someone with IDD and diabetes.

This commentary discusses specific efforts such as STOP diabetes, DESMOND-ID and OK-diabetes for people with IDD including family carers. Encouragement is given for health care providers to recommend such programmes to people with IDD and their family carers. It is also suggested that health care providers involve family carers in diabetes care planning and implementation for people with IDD.

It is hoped that if changes are made to current diabetes practices and more research with family carers is conducted, diabetes prevention and management for people with IDD will be more successful and family carers can feel more confident in providing support to their loved ones.

Research exploring the role of family carers in diabetes care for people with IDD and diabetes is very limited. This commentary makes recommendations to help family carers feel better supported in their role. It also provides areas for future research.

Purpose – To examine potential sex differences among American Indian and Alaska Native peoples (AIANs) in diabetes prevalence, comorbidities, healthcare utilization, and treatment costs within the Indian Health Services (IHS).

Methodology/Approach – Data were drawn from the IHS Improving Healthcare Delivery Data Project with 437,608 persons in our analytical sample. We described sex and age differences in diabetes, comorbidities, healthcare utilization, and treatment costs among the adults with diabetes. We evaluated the statistical differences between men and women using confidence intervals calculated at the 95% level, with nonoverlapping confidence intervals indicating statistical significance.

Findings – The prevalence of diabetes among females was somewhat higher than that of males (10.82 vs 9.16%, respectively, p < 0.05). Among adults with diabetes, males had statistically higher prevalence of hypertension, cardiovascular disease, and substance use disorders and fewer mental health disorders compared to females. Although males had overall lower average cost of services than females, males had higher utilization for hospital inpatient services than females, and females used more outpatient services.

Research limitations/implications – We are limited to one fiscal year of data and thus cannot predict the influence of healthcare utilization patterns on the overall health of this population. Although a large sample, the findings are only generalizable to the active users of the participating IHS Service Units.

Originality/Value of Paper – This study fills a major gap in our knowledge of sex differences in diabetes prevalence, comorbidities, healthcare utilization, and treatment costs among AIANs. Differences in the comorbidities that characterized the AIAN adult males and females with diabetes in this sample have important implications for mortality and cost of care. Diabetes management that addresses such gender-specific comorbidities, particularly substance use disorders among men and mental health disorders among women, promises to reduce these comorbidities and related complications.

Research on Asian Americans’ health behavior has often cited socioeconomic status, race, language, cultural beliefs, acculturation, etc. as barriers to seeking health care services. Less is known about Southeast Asians refugees’ help-seeking process. In this exploratory study, we examine the illness experiences of Southeast Asian refugees with a Type 2 diabetes diagnosis, and consider the factors that contribute to their understanding and management of diabetes.

We used Pescosolido’s network episode model to frame our understanding of the ways in which Southeast Asians maneuver through their social support networks, face barriers in accessing health care services, and manage their diabetes. We interviewed a convenience sample of 16 adults. All interviews were digitally recorded, transcribed, and coded. Analysis was guided by the grounded theory approach.

Our findings revealed that Southeast Asians’ definition, acceptance, and management of their diabetes was largely influenced by various factors including: trauma and PTSD from their refugee experience, challenges of acculturation, illness experience, mental health, and access and barriers to health care services. The network episode model provides a blueprint for understanding the social and cultural challenges that Southeast Asian refugees face with regards to their diabetes.

Research limitations include the small and convenience sample used for the study, which does not contribute to generalizability. However, our findings contribute to the limited but growing studies on Southeast Asian refugees in the United States, and emphasize the need for health care providers to consider the illness experience, health beliefs, and the social context of Southeast Asian refugees with diabetes. Although the adults in this study were not recent immigrants, their immigrant history and experiences influenced their understanding and management of their diabetes.

Few qualitative studies focus on the health of Southeast Asians in the United States (Hmong, Laotian, Cambodian, and Vietnamese). This study has potential value for clinicians, social workers, and community providers serving ethnic minority populations, specifically Southeast Asians. In this study, older immigrant adults faced generational challenges that impacted their chronic illness (Type 2 diabetes).

Diabetes is a chronic and challenging disease and requires personal daily self-management decisions and skills. For that, it is necessary that patients have sufficient information and health literacy to make the right choices and decisions in their self-care. Sequentially, health literacy has great relevance and influence in the daily lives of people with diabetes, since it encompasses the necessary skills to manage disease and health. Health literacy can be a relevant factor to consider when tackling diabetes self-management. Thus, for the prevention and treatment of diabetes, it is essential to promote individual health literacy. The quality of communication and patient-centred communication style seems to be a key aspect for the health literacy.

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.

Since World War II, rates of type 2 diabetes (henceforth diabetes) have skyrocketed, leading to talk of an “epidemic,” believed to result from formerly “adaptive” genotypes colliding with “affluent” postindustrial societies – largely their food excesses and physically undemanding jobs. Hence, experts describe diabetes as a struggle between biology and behaviors – “genes-as-destiny” and “lifestyles-as-choice” – said to have spared no social group. However, racial and ethnic minorities and the poor are affected disproportionately.

In this paper I challenge the “genes–lifestyle” framework and argue that the epidemic, particularly its distribution, is produced not by affluence but by poverty. The cumulative effect of malnutrition or hyperglycemia during pregnancy, of stunting in young children, of structural constraints over healthy lifestyles, and of the lack of a right to adequate medical care, which are all the results of poverty, leads to diabetes and its complications, and to disparities in their distribution among social groups. Hence, diabetes disparities are not mere differences but differences that are avoidable, unnecessary, and unjust. I also highlight selected conceptual problems of the genes–lifestyle framework that mislead about the potential contributions of genetics to human health.

I conclude that because the roots of the diabetes epidemic lie in inequities in social power, the solutions required are not medical but political, and ought to concern a sociologically informed bioethics. I also conclude that insofar as dominant accounts of the diabetes epidemic ignore or downplay these roots, they will legitimize research and policies that reproduce or even increase diabetes disparities. The paper is part of a larger project on the political ecology of diabetes.

Social and economic disparities between racial/ethnic groups are a feature of the American context into which immigrants are incorporated and a key determinant of population health. We ask whether racial/ethnic disparities in diabetes vary by nativity and whether native-immigrant disparities in diabetes vary by race and over time in the United States. Using the 2000–2015 National Health Interview Survey, we estimate logistic regressions to examine the interaction of race/ethnicity, nativity, and duration in the US in shaping diabetes patterns. Relative to their native-born co-ethnics, foreign-born Asian adults experience a significant diabetes disadvantage, while foreign-born Hispanic, Black, and White adults experience a significant advantage. Adjusting for obesity, education, and other covariates eliminates the foreign-born advantage for Black and White adults, but it persists for Hispanic adults. The same adjustment accentuates the disadvantage for foreign-born Asian adults. For Black and Hispanic adults, the protective foreign-born effect erodes as duration in the US increases. For foreign-born Asian adults, the immigrant disadvantage appears to grow with duration in the US. Relative to native-born White adults, all non-white groups regardless of nativity see a diabetes disadvantage because the racial/ethnic disadvantage either countervails a foreign-born advantage or amplifies a foreign-born disadvantage. Racial/ethnic differentials in diabetes are considerable and are influenced by each group’s nativity composition. Obesity and (for the foreign-born) time in the US influence these disparities, but do not explain them. These findings underscore the importance of unmeasured, systemic determinants of health in America’s race-conscious society.

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.

Professional interpreter use improves care in patients with limited English proficiency (LEP) but inequalities in outcomes remain. We explore the experience of US Latinos with LEP and diabetes in language discordant care.

We conducted in-depth interviews of 20 low-income Latino patients with diabetes and LEP. We interviewed participants in Spanish, digitally recorded and transcribed interviews, and read transcripts to identify themes and interpret meanings using interpretive phenomenology as theoretical framework.

While patients preferred, and experienced greater trust in, language concordant clinical encounters, they did not believe that language discordance affected outcomes because they felt that these depended largely on their compliance with physicians’ recommendations. Patients also downplayed structural barriers to care and outcomes. Self-blame was paradoxically encouraged by physicians’ praise vis-à-vis favorable outcomes.

Limitations include small and convenience sample and limited generalizability. However, findings illustrate communicational dynamics between patients and clinicians with important implications for health care practice and policy. They support the perception that trust develops best within language concordant care, which underscores the importance of recruiting clinicians with diverse language skills. They highlight the importance of sensitizing clinicians to the social determinants of health, which may be overlooked when treating patients with conditions requiring substantial self-management, like diabetes. Language barriers in health care must be understood in the broader context of structural inequalities in health care. The necessary emphasis on self-management may (inadvertently) strengthen the hegemonic view that places responsibility for diabetes outcomes on patients’ ability to self-manage their condition to the neglect of social/political determinants of diabetes.

Studies have quantitatively examined the effects of language discordant care on diabetes outcomes, yet few have done so qualitatively. To our knowledge, no study has attempted to understand the experience of language discordance from the perspective of LEP patients with diabetes and how this experience may explain observed differences in outcomes.