The impact of diabetes on employment and work productivity

Workplace-based continuous glucose monitoring with structured education for pre-diabetes and type 2 diabetes: A prospective community cohort study

AIMS

We investigated the effect of continuous glucose monitoring (CGM) with personalised structured education on patients with type 2 diabetes (T2D) and pre-diabetes in a workplace setting.

MATERIALS AND METHODS

This 8-week prospective study enrolled adults with T2D or pre-diabetes at Samsung Electronics Device Solutions between March and September 2023. Participants underwent CGM (Freestyle Libre) for 2 weeks and received personalized structured education on diet and physical activity. The primary outcome was the change in HbA1c level at 8 weeks compared with baseline. Secondary outcomes included changes in fasting blood sugar (FBS), lipid profile, weight and patient-related outcome measures (PROMs) at 8 weeks and longer.

RESULTS

Among 234 participants (161 T2D and 73 pre-diabetes), significant improvements were observed in the T2D group patients in terms of HbA1c (6.9% ± 1.2%-6.5% ± 0.8%), FBS (128.4 ± 36.9-117.6 ± 22.2 mg/dL), weight (81.9 ± 13.5-80.7 ± 13.6 kg) and low-density lipoprotein (LDL) cholesterol (106.0 ± 41.5 to 95.1 ± 35.9 mg/dL) (all p < 0.001) levels. Meanwhile, patients with pre-diabetes showed significant improvements in weight (79.7 ± 14.0-78.5 ± 13.9 kg) and LDL cholesterol (124.5 ± 32.8-113.8 ± 29.1 mg/dL) (all p < 0.001), with no significant changes in HbA1c or FBS. These improvements were maintained during follow-up check-ups after a mean of 6.4 months. Participants in both groups demonstrated improvements in their PROMs.

CONCLUSIONS

Among adults with T2D and pre-diabetes, the use of CGM with structured education in a workplace-based setting helped with weight loss and improved LDL cholesterol levels in both groups, while also improving glycaemia in patients with T2D.

Enhancing patient-centered care: Evaluating quality of life in type 2 diabetes management

AIMS

To evaluate quality of life (QoL) in patients with type 2 diabetes mellitus (T2DM).

METHODS

A cross-sectional study included 151 T2DM patients at the Clinical Centre of Montenegro. The Ferrans and Powers Quality of Life Index (QLI), validated for the Montenegrin population, assessed QoL across five domains. Participants rated items on a Likert scale from 1 (very dissatisfied) to 5 (very satisfied). Data were analysed using SPSS version 22.

RESULTS

The cohort included 51% women, with a mean age of 60.05 ±  11.63 years. Of the patients, 42% had diabetes for over a decade, and 64% had no additional health conditions. Overall, patients reported satisfactory QoL, especially in self-care and glucose management, though dissatisfaction was high regarding sexual life. Emotional support from family, housing, and friendships significantly contributed to life satisfaction, while financial concerns and job dissatisfaction were common. QoL showed no significant gender differences but declined with age and was notably lower in patients with comorbidities.

CONCLUSION

Patients with T2DM report generally satisfactory QoL, with notable concerns in socio-economic and health-related areas. Routine QoL assessments in clinical practice can improve communication, aid in early complication detection, and enable timely interventions to enhance patient outcomes.

Diabetes Mellitus and its Association with Work Patterns and Characteristics: A Narrative Review

Diabetes mellitus is a leading cause of disability with adverse effects on the quality of life. It also affects occupational health by impacting several work-related parameters. This review discusses the relationship between diabetes and absenteeism, presenteeism, work impairment and unemployment. The association between work and diabetic complications such as neuropathic pain, diabetic foot, psychological issues and hypoglycemia due to treatment is also examined. Evidence points to a relationship between diabetes and absenteeism, reduced work productivity, and, thus, overall work impairment. A stronger negative impact on work performance is mediated by painful diabetic neuropathy and diabetic foot. In addition, psychological distress has been positively correlated with total workdays lost and frequency of absence. Depression in the diabetic population has also been linked with increased absenteeism, presenteeism, and work disability. Moreover, hypoglycaemia induced by antidiabetic medication may affect work attendance and performance. Finally, diabetes has been associated with inequality in the work environment, lower job satisfaction and higher unemployment rates, mainly because of its complications.

Self-reported food liking and wanting: A factor analytic study of ratings across 49 consecutive days

Reward responses to food are thought to play an important role in highly palatable food overconsumption. In animal models, food reward responses can be decoupled into unique "liking" (in the moment enjoyment) and "wanting" (motivation/craving) components. However, research on liking and wanting has been hampered by uncertainty regarding whether liking and wanting can be reliably separated in humans. We used factor analysis to test whether ratings of liking and wanting could be empirically separated in women assessed across 49 consecutive days. Female participants (N = 688; ages 15-30) from the Michigan State University Twin Registry reported liking and wanting of foods consumed that day, and wanting of foods not consumed that day, separately for sweets (e.g., cookies), fast food (e.g., French fries), carbohydrates (e.g., bread), and whole foods (fruit, plain chicken) each evening for 49 consecutive days. We examined both average levels and daily levels of liking/wanting across the 49-day period that captured individual differences in liking/wanting over time. Across both types of analyses, liking and wanting for foods that were eaten formed a single factor rather than separate, dissociable factors, while wanting of foods not eaten formed an independent factor. At the daily level, a liking/wanting factor emerged for each individual food category (e.g., liking/wanting sweets), whereas in average analyses, a single factor emerged that collapsed across all food types (i.e., liking/wanting of all foods). Results suggest individuals have difficulty distinguishing between liking and wanting of foods they have eaten on that day but may be able to more reliably separate wanting of foods they have not consumed.

Objective Analysis of Traditional Chinese Medicine Syndrome Differentiation of Patients With Diabetes and Prediabetes: Protocol for a Nonrandomized, Exploratory, Observational Case-Control Study Using Digitalized Traditional Chinese Medicine Diagnostic Tools

BACKGROUND

Diabetes and prediabetes are diagnosed differentially by Western and Chinese medicine. While Western medicine uses objective laboratory analysis of biochemical parameters to define the severity of diabetes and prediabetes, Chinese medicine uses a comprehensive approach that integrates observation, inquiry, pulse palpation, and tongue diagnosis. The medical information collected is then categorized into different syndromes. However, traditional methods of pulse and tongue diagnoses used to determine syndrome differentiation are highly subjective and skill dependent.

OBJECTIVE

This study aims to identify the gap in conventional traditional Chinese medicine (TCM) diagnostic techniques for syndrome differentiation analysis using contemporary diagnostic devices. We devised a protocol for a nonrandomized, exploratory, observational case-control study with equal allocations in 5 arms to investigate the syndrome differentiation of diabetes and prediabetes. We hypothesize that the TCM syndrome differentiation of diabetes and prediabetes in the tropical climate may differ from that defined based on the Chinese demographic. We also speculate that the high-frequency spectral energy may reflect a difference in pulse wave intensity and density between the healthy and diabetes groups.

METHODS

A total of 250 eligible participants will be equally assigned to 1 of 5 arms (healthy or subhealthy, prediabetes, diabetes, prediabetes with hypertension and dyslipidemia, and diabetes with hypertension and dyslipidemia). Participants aged 21-75 years, of any sex or race, and have been diagnosed with diabetes (fasting plasma glucose [FPG] of 7 mmol/L, or 2-hour plasma glucose [2hPG] of 11.1 mmol/L) or prediabetes (impaired FPG of 6.1-6.9 mmol/L, or impaired glucose tolerance with an 2hPG of 7.8-11 mmol/L) will be included. The Health Evaluation Questionnaire, Physical Activity Questionnaire, sugar intake assessment, Constitution in Chinese Medicine Questionnaire, radial pulse diagnosis, and tongue diagnosis will be performed in a single visit. ANOVA for continuous data and chi-square tests of independence will be used for categorical data assessments, with a level of P<.05 considered significant.

RESULTS

The recruitment is in progress. We anticipate that the study will conclude in June 2025. As of July 15, 2024, we have enrolled 140 individuals.

CONCLUSIONS

To the best of our knowledge, this is the first study to use contemporary TCM diagnostic instruments to map expert and empirical knowledge of TCM to its scientific equivalents for the purpose of evaluating the syndrome differentiation of diabetes. We designed this protocol with the exploratory goal to examine objectively the syndrome differentiation of patients with diabetes and those with prediabetes using TCM diagnostic technologies. The data collected and evaluated under standardized conditions using these contemporary diagnostic devices will exhibit a higher degree of stability, hence yielding dependable and unbiased results for syndrome differentiation. Thus, our findings may potentially increase the accuracy of identification, diagnosis, treatment, and prevention of diabetes and prediabetes through a system of targeted treatment.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05563090; https://clinicaltrials.gov/ct2/show/NCT05563090.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/56024.

Chronic Physical and Mental Health Conditions Associated With Employment Status in Veterans

Introduction

Veterans commonly experience both poor health and employment difficulty. However, the research examining potential relationships between chronic physical and mental health conditions and employment in veterans has important limitations. This study examines those potential relationships using large-scale, nationally representative data. The authors' hypothesis was that veterans experiencing these conditions would be less likely to be employed than veterans without the conditions and, further, that there may be differences in these relationships when comparing male veterans with female veterans.

Methods

The study team conducted a pooled cross-sectional analysis of nationally representative data from the 2004-2019 administrations of the Medical Expenditures Panel Survey, which had items addressing health conditions, employment, and military experience. The authors assessed the relationship between health conditions and employment using multivariate logistic regression. Control variables included demographics, SES, family size, and survey year.

Results

Veterans experiencing diabetes, high blood pressure, stroke, emphysema, arthritis, serious hearing loss, poor self-reported mental health, poor self-reported health, depression, or psychological distress were less likely to be employed than veterans without those conditions, even after adjusting for potential confounding factors. Veterans with diabetes had 25% lesser odds of being employed than veterans without the condition (95% CI=0.65, 0.85). Veterans with increased likelihood of depression had 35% lesser odds of being employed than veterans without depression (95% CI=0.52, 0.81).

Conclusions

This study adds evidence to the understanding of the role of chronic health conditions in employment status of veterans. The results support arguments for programs that aid veterans with both their health and their employment.

Much work to do about measuring work

Work ability is a critical economic and well-being indicator in cancer care. Yet, work ability is understudied in clinical trials and observational research and is often undocumented in medical records. Despite agreement on the importance of work from well-being, health insurance, and financial perspectives, standardized approaches for collecting, measuring, and analyzing work outcomes are lacking in the health-care setting. The necessary components for closing the gap in patient and caregiver employment research in health-care settings involve a common set of measures, including those that replace or translate generic measures of mental and physical functioning into work outcomes in observational and clinical trial research, standardized approaches to data collection and documentation, and the use of longitudinal data to understand the consequences of reduced work ability over time. We present a conceptual framework for the inclusion of work ability in outcomes research. We cover constructs for employment and work ability measurement that can be adopted in research, recorded as patient-level data, and used to guide treatment decisions. The inclusion of return to work and hours worked, productivity, and ability to perform in a similar job can support conversations that guide treatment decisions and minimize economic consequences. Our hope is that by considering impact on work ability, improved treatments will be developed, health inequities reduced, and resources directed toward aiding patients and their caregivers in balancing work and health demands.

The Intersection of Dermatological Dilemmas and Endocrinological Complexities: Understanding Necrobiosis Lipoidica-A Comprehensive Review

BACKGROUND

Necrobiosis lipoidica (NL) is a rare granulomatous skin disorder with a predilection for females, often associated with diabetes mellitus (DM). This paper aims to comprehensively review the literature on NL, focusing on its association with DM, thyroid disorders, and the metabolic syndrome.

METHODS

A systematic search was conducted in English-language literature from inception to October 2023, utilizing PubMed. We identified 530 studies and selected 19 based on clinical significance, statistical support, and relevance to the paper's goals.

RESULTS

The coexistence of NL and DM is prevalent, with rates ranging from 11% to 65.71%. NL may precede DM diagnosis and a correlation between NL and increased daily insulin requirements has been observed in such patients. NL is suggested as a potential prognostic marker for DM complications; however, recent studies question this association, highlighting the need for further research. Studies in the context of NL and Thyroid Disease indicate a correlation, especially with autoimmune thyroiditis. Regarding NL and Metabolic Syndrome, the prevalence of metabolic syndrome among NL patients is notably higher than in the general population. Additionally, DM patients with ulcerated NL commonly exhibit hypertension or obesity, raising questions about the potential influence of hypertension and obesity on NL ulcerations.

CONCLUSION

Additional research is required to untangle the complex connections between NL and various comorbidities.

Quality of life among type 2 diabetes mellitus patients at Kamuzu Central Hospital in Lilongwe, Malawi: A mixed-methods study

Type II diabetes mellitus (T2DM) significantly impacts quality of life (QoL) yet data among these patients in Malawi are lacking. This study was conducted to assess QoL among patients with T2DM. A mixed-method cross-section study was conducted at Kamuzu Central Hospital (KCH), Lilongwe, Malawi. Data collection was done using a modified diabetes quality of life (MDQoL)-17 questionnaire for quantitative data while in-depth interviews and diary methods were used for qualitative data. Demographic data were summarized using descriptive statistics and inferential statistics using t-tests and ANOVA. Thematic analysis was utilized for qualitative data. A sample of 339 participants (mean age 50.3±15.5) was recruited. Overall, the mean QoL score was moderate (mean QoL 63.91±19.54). Those on health insurance had better QoL (QoL 76.71, C.I. 69.22-84.19, p-value 0.005) compared to those without health insurance. Furthermore, the absence of comorbidities was associated with having better QoL (QoL 71.18, C.I. 66.69-75.67, p-value < 0.0001). Qualitatively, T2DM was associated with patients' health status, increased stress levels, and loss of independence. There were QoL-promoting factors among T2DM patients such as diabetes health talks, having a supportive family, and following hospital advice. Inhibiting factors include drug shortages, societal perceptions, a sedentary lifestyle, stress, and despising hospital advice. Overall QoL in patients with T2DM receiving treatment at KCH is moderate. QoL of patients with T2DM is influenced by interrelated factors which require multidisciplinary team care to optimize the QoL among these patients. Health workers need to adopt a holistic approach when treating patients with T2DM, such as managing comorbidities and including assessment of QoL, behavioral change measures like physical exercises, and a healthy diet.

Association of Intensive Lifestyle Intervention for Type 2 Diabetes With Labor Market Outcomes

Importance

An intensive lifestyle intervention (ILI) has been shown to improve diabetes management and physical function. These benefits could lead to better labor market outcomes, but this has not been previously studied.

Objective

To estimate the association of an ILI for weight loss in type 2 diabetes with employment, earnings, and disability benefit receipt during and after the intervention.

Design, Setting, and Participants

This cohort study included participants with type 2 diabetes and overweight or obesity and compared an ILI with a control condition of diabetes support and education. Data for the original trial were accrued from August 22, 2001, to September 14, 2012. Trial data were linked with Social Security Administration records to investigate whether, relative to the control group, the ILI was associated with improvements in labor market outcomes during and after the intervention period. Difference-in-differences models estimating relative changes in employment, earnings, and disability benefit receipt between the ILI and control groups were used, accounting for prerandomization differences in outcomes for linked participants. Outcome data were analyzed from July 13, 2020, to May 17, 2023.

Exposure

The ILI consisted of sessions with lifestyle counselors, dieticians, exercise specialists, and behavioral therapists on a weekly basis in the first 6 months, decreasing to a monthly basis by the fourth year, designed to achieve and maintain at least 7% weight loss. The control group received group-based diabetes education sessions 3 times annually during the first 4 years, with 1 annual session thereafter.

Main Outcomes and Measures

Employment and receipt of federal disability benefits (Supplemental Security Income and Social Security Disability Insurance), earnings, and disability benefit payments from 1994 through 2018.

Results

A total of 3091 trial participants were linked with Social Security Administration data (60.1% of 5145 participants initially randomized and 97.0% of 3188 of participants consenting to linkage). Among the 3091 with fully linked data, 1836 (59.4%) were women, and mean (SD) age was 58.4 (6.5) years. Baseline clinical and demographic characteristics were similar between linked participants in the ILI and control groups. Employment increased by 2.9 (95% CI, 0.3-5.5) percentage points for the ILI group relative to controls (P = .03) with no significant relative change in disability benefit receipt (-0.9 [95% CI, -2.1 to 0.3] percentage points; P = .13).

Conclusions and Relevance

The findings of this cohort study suggest that an ILI to prevent the progression and complications of type 2 diabetes was associated with higher levels of employment. Labor market productivity should be considered when evaluating interventions to manage chronic diseases.

Labour market implications of thyroid dysfunctions

This paper aims to shed some light on the labour market implications of thyroid disease. Undetected hypothyroidism has adverse effects on wages for female workers,thus widening the existing gender wage gap. However, once female individuals are diagnosed (and therefore assumed to be treated) with hypothyroidism, they experience wage gains and have a higher employment probability. In relation to other labour market outcomes, thyroid disease does not appear to play a significant role on individuals' labour force participation decision and their working hours. Results suggest that productivity gains may drive the improvement in wages.

A vicious cycle: employment challenges associated with diabetes foot ulcers in an economically marginalized Southwest US sample

Aim

To describe patients' reported employment challenges associated with diabetic foot ulcers (DFUs).

Methods

Fifteen patients from under-resourced communities in Southern Arizona, with a history of DFUs and/or amputations, were recruited from a tertiary referral center from June 2020 to February 2021. Participants consented to an audio-recorded semi-structured phone interview. Interviews were transcribed and thematically analyzed using the Dedoose data analysis platform.

Results

Participants shared a common theme around the cyclic challenges of DFU prevention/management and employment. Those employed in manual labor-intensive jobs or jobs requiring them to be on their feet for long durations of time believed working conditions contributed to the development of their DFUs. Patients reported work incapacity due to declines in mobility and the need to offload for DFU management. Many expressed frustration and emotional distress related to these challenges noting that DFUs resulted in lower remuneration as medical expenses increased. Consequently, loss of income and/or medical insurance often hindered participants' ability to manage DFUs and subsequent complications.

Conclusion

These data illuminate the vicious cycle of DFU and employment challenges that must be addressed through patient-centered prevention strategies. Healthcare providers should consider a person's contextual factors such as employment type to tailor treatment approaches. Employers should establish inclusive policies that support patients with DFUs returning to work through flexible working hours and adapted work tasks as needed. Policymakers can also mitigate employment challenges by implementing social programs that provide resources for employees who are unable to return to work in their former capacity.

Looking at Diabetes-Related Distress through a New Lens: The Socio-Ecological Health Model

Diabetes-related distress (DRD) is defined as an emotional state experienced by people with diabetes (PWD) who are worried about their disease management, the emotional burden from the condition, and/or potential difficulties accessing care or support. The psychosocial aspect of diabetes management is a factor that directly influences patients’ well-being as well as the chronic management of the condition yet is not a primary clinical problem being addressed within the healthcare setting. This review advocates for a re-evaluation and subsequent adjustment of the current DRD screening methodology by implementing the five primary components (Intrapersonal, Interpersonal, Organizational, Community, and Public Policy) of the Socio-Ecological Model of Health (SEMH), bridging the gaps from a public-health perspective. We searched two electronic databases for studies published in the United States from 1995 to 2020 reporting the effects of social determinants of health (SDOH) on DRD. Articles that contained at least one of the five elements of the SEMH and focused on adults aged 18 years or older were included. SDOH, which include circumstances where individuals grow, work, and age, are highly influenced by external factors, such as the distribution of wealth, power, and resources. Current DRD screening tools lack the capacity to account for all major components of SDOH in a comprehensive manner. By applying the SEMH as a theory-based framework, a novel DRD screening tool addressing sex, ethnicity, and socioeconomic background should be implemented to better improve diabetes management outcomes. By exploring the relationships between each level of the SEMH and DRD, healthcare professionals will be better equipped to recognize potential stress-inducing factors for individuals managing diabetes. Further efforts should be invested with the goal of developing a novel screening tool founded on the all-encompassing SEMH in order to perpetuate a more comprehensive diabetes treatment plan to address barriers within the SDOH framework.

Novel insights into the pathogenic impact of diabetes on the gastrointestinal tract

Type 2 and type 1 diabetes are common endocrine disorders with a progressively increasing incidence worldwide. These chronic, systemic diseases have multiorgan implications, and the whole gastrointestinal (GI) tract represents a frequent target in terms of symptom appearance and interdependent pathophysiological mechanisms. Metabolic alterations linked with diabetic complications, neuropathy and disrupted hormone homeostasis can lead to upper and/or lower GI symptoms in up to 75% of diabetic patients, with multifactorial involvement of the oesophagus, stomach, upper and lower intestine, and of the gallbladder. On the other hand, altered gastrointestinal motility and/or secretions are able to affect glucose and lipid homeostasis in the short and long term. Finally, diabetes has been linked with increased cancer risk at different levels of the GI tract. The presence of GI symptoms and a comprehensive assessment of GI function should be carefully considered in the management of diabetic patients to avoid further complications and to ameliorate the quality of life. Additionally, the presence of gastrointestinal dysfunction should be adequately managed to improve metabolic homeostasis, the efficacy of antidiabetic treatments and secondary prevention strategies.

Prevalence of hypertension among type 2 diabetes mellitus patients in Ethiopia: a systematic review and meta-analysis

BACKGROUND

Hypertension among diabetic patients is a worldwide public health challenge and a leading modifiable risk factor for other cardiovascular diseases and death. This study aimed to estimate the prevalence of hypertension among diabetic patients in Ethiopia.

METHODS

The studies were selected using PubMed, Embase, Health InterNetwork Access to Research Initiative and Cochrane Library databases and Google searches. Two independent authors carried out the data extraction using a predetermined and structured method of data collection. R version 3.5.3 and RStudio version 1.2.5003 were used for analysing the data. To assess possible publication bias, funnel plot test methods were used. The guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses were used to publish the results. This study was registered in the Prospective Register Systematic Reviews (CRD42020170649).

RESULTS

A total of 218 articles were identified but only 6 six full-text abstract papers were included in this systematic review and meta-analysis. The random effects model analysis showed that the pooled prevalence of hypertension among type 2 diabetes mellitus (DM) patients in Ethiopia was 55% (95% confidence interval [CI] 49 to 61). The subgroup analysis of the pooled prevalence of hypertension among type 2 DM patients in the Oromia and Southern regions was 51% (95% CI 42 to 59) and 58% (95% CI 54 to 63), respectively. The pooled prevalence of hypertension among type 2 DM patients was higher among urban residents (60% [95% CI 54 to 67] and 52% [95% CI 41 to 63] among urban and rural residents, respectively).

CONCLUSIONS

This study showed a high pooled prevalence of hypertension among type 2 DM patients in Ethiopia. Appropriate preventive measures should be implemented to reduce the burden of hypertension among DM patients in Ethiopia.

Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism

Productivity losses caused by absenteeism at work cost U.S. employers billions of dollars each year. In addition, employers typically spend a considerable amount of time managing employees who perform poorly. By using predictive analytics and machine learning algorithms, organizations can make better decisions, thereby increasing organizational productivity, reducing costs, and improving efficiency. Thus, in this paper we propose hybrid optimization methods in order to find the most parsimonious model for absenteeism classification. We utilized data from a Brazilian courier company. In order to categorize absenteeism classes, we preprocessed the data, selected the attributes via multiple methods, balanced the dataset using the synthetic minority over-sampling method, and then employed four methods of machine learning classification: Support Vector Machine (SVM), Multinomial Logistic Regression (MLR), Artificial Neural Network (ANN), and Random Forest (RF). We selected the best model based on several validation scores, and compared its performance against the existing model. Furthermore, project managers may lack experience in machine learning, or may not have the time to spend developing machine learning algorithms. Thus, we propose a web-based interactive tool supported by cognitive analytics management (CAM) theory. The web-based decision tool enables managers to make more informed decisions, and can be used without any prior knowledge of machine learning. Understanding absenteeism patterns can assist managers in revising policies or creating new arrangements to reduce absences in the workplace, financial losses, and the probability of economic insolvency.

The Intersecting Consequences of Race-Gender Health Disparities on Workforce Engagement for Older Workers: An Examination of Physical and Mental Health

The dramatic growth of older adults' labor participation over the past 25 years, including women and people of color, is reshaping the American labor force. The current study contributes new knowledge concerning why individuals over age 50 years may be working longer despite negative impacts of deteriorating physical and mental health associated with aging. Inquiries regarding who continues to work and why can be answered, in part, by addressing how workforce engagement and health are shaped by notable social inequities along the dimensions of age, race, and gender. Guided by cumulative advantage/disadvantage and intersectionality frameworks, we examine whether having multiple chronic conditions (MCC)-two or more physical conditions-and depression affect workforce participation. Using multinomial logistic regression models, we analyze the 2014-2016 waves of the Health and Retirement Study (N = 4250). Findings reveal that having multiple chronic illnesses increase the likelihood of labor force exit, especially among workers who also have depression. We also discover intersectional nuances which illuminate complex race-gender dynamics related to health and work processes in later life. We conclude with recommendations for workplace policy that promote the retention of older workers with chronic illness and depression and aim to decrease disparities in older workers' work engagement.

Association between type 2 diabetes and long-term outcomes in middle-aged and older trauma patients

BACKGROUND

Diabetes is associated with increased hospital complications and mortality following trauma. However, there is limited research on the longer-term recovery of trauma patients with diabetes. The aim of this study was to explore the association between type 2 diabetes (T2D) and in-hospital and 24-month outcomes in major trauma patients.

METHODS

In this cohort study using the Victorian State Trauma Registry, middle-aged and older adults (≥45 years) with major trauma were followed up at 24 months postinjury. Logistic regression (univariable and multivariable) analyses were used to determine the association between diabetes status and 24-month patient-reported outcomes. In-hospital outcomes were compared between groups using χ2 tests.

RESULTS

Of the 11,490 participants who survived to hospital discharge, 8,493 survived to 24 months postinjury and were followed up at that time point: 953 people (11%) with and 7540 (89%) without T2D. People with T2D had a higher in-hospital death rate (19%) compared with people without T2D (16%; p < 0.001). After adjusting for confounders, people with T2D had poorer outcomes 24 months postinjury than people without T2D, with respect to functional recovery (Glasgow Outcome Scale Extended) (adjusted odds ratio [AOR], 0.58; 95% confidence interval [CI], 0.48-0.69) and return to work/study (AOR, 0.51; 95% CI, 0.37-0.71]). People with T2D experienced higher odds of problems with mobility (AOR, 1.92; 95% CI, 1.60-2.30), self-care (AOR, 1.94; 95% CI, 1.64, 2.29), usual activities (AOR, 1.50; 95% CI, 1.26-1.79), pain and discomfort (AOR, 1.75; 95% CI, 1.49-2.07), anxiety and depression (AOR, 1.45; 95% CI, 1.24, 1.70), and self-reported disability (AOR, 1.51; 95% CI, 1.28-1.79) than people without T2D.

CONCLUSION

Major trauma patients with T2D have a poorer prognosis than patients without T2D, both during their hospital admission and 24 months postinjury. Patients with T2D may need additional health care and support following trauma to reach their recovery potential.

LEVEL OF EVIDENCE

Prognostic, level III.

Undiagnosed diabetes mellitus and associated factors among adults in Ethiopia: a systematic review and meta-analysis

Diabetes has become a major public health problem, with 4.6 million deaths annually. The number of people living with undiagnosed diabetes is on the rise and has a diverse prevalence. Thus, this systematic review and meta-analysis was aimed to synthesize the pooled estimate prevalence of undiagnosed diabetes mellitus, impaired fasting glucose and its associated factors in Ethiopia. The databases Medline, Hinari, Google Scholar, and Google search were used to find potential studies published from January 2013 until January 2021. Extracted data were entered into the excel spreadsheet. The random effects model with Der Simonian-Laird weights was used to assess the pooled estimate of prevalence of undiagnosed diabetes, impaired fasting glucose, and its associated factors. The Cochrane Q-test and I² statistics were used to screen for statistical heterogeneity. A funnel plot and Egger's statistical test were also used to search for any publication bias (small study effect). After extensive searching of articles on different databases, a total of nine studies were included for this systematic review and meta-analysis. In random effects model, the pooled prevalence of undiagnosed diabetes mellitus and impaired fasting glucose was 5.75%, 95% CI (3.90-7.59%), and 8.94%, 95% CI (2.60-15.28%), respectively. Regarding the associated factors, participants family history of diabetes was significantly associated with diabetes status. The pooled odds of developing diabetes mellitus among participants with a family history of diabetes mellitus were about 3.56 times higher than those without a family history of diabetes mellitus (OR = 3.56, 95% CI (2.23, 5.68)). In this review, the higher prevalence of undiagnosed diabetes mellitus and impaired fasting glucose was observed among adults in Ethiopia. Family history of diabetes was found to have an association with increased risk of diabetes mellitus. Our finding highlights the need of screening at the community level, with special focus on adults with family history of diabetes mellitus.

The Impact of Diabetes on Productivity in India

OBJECTIVE

Diabetes increases the risk of premature mortality and considerably impacts on work productivity. We sought to examine the impact of diabetes in India, in terms of excess premature mortality, years of life lost (YLL), productivity-adjusted life years (PALYs) lost, and its associated economic impact.

RESEARCH DESIGN AND METHODS

A life table model was constructed to examine the productivity of the Indian working-age population currently aged 20-59 years with diabetes, followed until death or retirement age (60 years). The same cohort was resimulated, hypothetically assuming that they did not have diabetes. The total difference between the two cohorts, in terms of excess deaths, YLL and PALYs lost reflected the impact of diabetes. Data regarding the prevalence of diabetes, mortality, labor force dropouts, and productivity loss attributable to diabetes were derived from published sources.

RESULTS

In 2017, an estimated 54.4 million (7.6%) people of working-age in India had diabetes. With simulated follow-up until death or retirement age, diabetes was predicted to cause 8.5 million excess deaths (62.7% of all deaths), 42.7 million YLL (7.4% of total estimated years of life lived), and 89.0 million PALYs lost (23.3% of total estimated PALYs), equating to an estimated Indian rupee 176.6 trillion (U.S. dollars 2.6 trillion; purchasing power parity 9.8 trillion) in lost gross domestic product.

CONCLUSIONS

Our study demonstrates the impact of diabetes on productivity loss and highlights the importance of health strategies aimed at the prevention of diabetes.

Active leisure, passive leisure and health

Leisure consumption has been increasing in the United States since the 1960s. Over the same period, inactive lifestyles have contributed to adverse health outcomes. We propose a new way of categorizing leisure into groups based on the amount of physical exercise needed. Our results show that physically active leisure is a normal good whose demand rises with education and health, while physically passive leisure is an inferior good whose demand rises with lower education and poorer health. These patterns allow us to propose a taxonomy that categorizes various leisure activities into 'Active' and 'Passive' groups.

Working With Type 1 Diabetes: Investigating the Associations Between Diabetes-Related Distress, Burnout, and Job Satisfaction

The present study investigates the association between diabetes-related distress (DD) and work outcomes (burnout and job satisfaction) among employed people with type 1 diabetes. Employed adults with type 1 diabetes (N = 297) completed an online survey. Measures assessed emotional, social, food- and treatment-related DD, burnout, and job satisfaction, as well as the type of insulin treatment. We conducted multiple regression analyses to test our hypotheses. Emotional DD was significantly and positively associated with burnout. Social DD was significantly and negatively associated with job satisfaction. The type of treatment (insulin pen versus insulin pump) had no significant effect on the outcomes. This study sets the stage for research on the interactions between working conditions, work outcomes and illness symptoms, and problems of people with type 1 diabetes, and, generally, employees with chronic illnesses. The findings have implications for individual health and illness management, burnout prevention, and occupational health measures.

Lifetime Cost-effectiveness of Oral Semaglutide Versus Dulaglutide and Liraglutide in Patients With Type 2 Diabetes Inadequately Controlled With Oral Antidiabetics

PURPOSE

To estimate the incremental cost-utility ratio of oral semaglutide (14 mg once daily) vs other glucagon-like peptide 1 receptor agonist treatments among adults with type 2 diabetes that was inadequately controlled with 1 to 2 oral antidiabetic drugs from a US payer perspective.

METHODS

A state-transition model with a competing risk approach was developed for diabetic complications and risk of cardiovascular events based on the UK Prospective Diabetes Study Outcomes Model 1 equations. Baseline population characteristics reflect the PIONEER 4 trial (Efficacy and Safety of Oral Semaglutide Versus Liraglutide and Versus Placebo in Subjects With Type 2 Diabetes Mellitus) of oral semaglutide. Model comparators included subcutaneous semaglutide, dulaglutide, and liraglutide. Treatment effects (change in glycosylated hemoglobin, weight, and systolic blood pressure) were estimated by network meta-analysis. Drug, management, and event costs (in 2019 US dollars), survival after nonfatal events, and utilities were obtained from the literature. Costs and quality-adjusted life-year (QALY) outcomes were discounted at 3% annually over a lifetime horizon. Probabilistic and 1-way sensitivity analyses were performed.

FINDINGS

Total estimated costs and QALYs were $144,065 and 12.98 for oral semaglutide, $145,721 and 12.96 for dulaglutide, $145,833 and 12.99 for SC semaglutide, and $149,428 and 12.97 for liraglutide, respectively. Oral semaglutide was less costly and more effective than dulaglutide and liraglutide but less costly than subcutaneous semaglutide with similar effectiveness. Oral semaglutide was favored versus subcutaneous semaglutide in 52.10% of model replications at a willingness-to-pay of $150,000 per QALY.

IMPLICATIONS

Oral semaglutide is predicted to offer health benefits similar to subcutaneous semaglutide and ahead of dulaglutide and liraglutide. Oral semaglutide is a cost-effective glucagon-like peptide 1 receptor agonist treatment option.

Using the behavior change wheel to develop text messages to promote diet and physical activity adherence following a diabetes prevention program

Improving diet and physical activity (PA) can reduce the risk of developing type 2 diabetes (T2D); however, long-term diet and PA adherence is poor. To impact population-level T2D risk, scalable interventions facilitating behavior change adherence are needed. Text messaging interventions supplementing behavior change interventions can positively influence health behaviors including diet and PA. The Behavior Change Wheel (BCW) provides structure to intervention design and has been used extensively in health behavior change interventions. Describe the development process of a bank of text messages targeting dietary and PA adherence following a diabetes prevention program using the BCW. The BCW was used to select the target behavior, barriers and facilitators to engaging in the behavior, and associated behavior change techniques (BCTs). Messages were written to map onto BCTs and were subsequently coded for BCT fidelity. The target behaviors were adherence to diet and PA recommendations. A total of 16 barriers/facilitators and 28 BCTs were selected for inclusion in the messages. One hundred and twenty-four messages were written based on selected BCTs. Following the fidelity check a total of 43 unique BCTs were present in the final bank of messages. This study demonstrates the application of the BCW to guide the development of a bank of text messages for individuals with prediabetes. Results underscore the potential utility of having independent coders for an unbiased expert evaluation of what active components are in use. Future research is needed to demonstrate the feasibility and effectiveness of resulting bank of messages.

The Impact of Diabetes Status on Presenteeism in Japan

OBJECTIVE

This study aimed to investigate the impact of diabetes status on presenteeism in companies in Japan.

METHODS

A cross-sectional study was conducted among workers aged 40 years or older. Using medical examination results and health insurance claims data, participants were classified as normal, borderline, or diabetic. The diabetic group was further classified as untreated or treated. The Quantity and Quality (QQ) method was used as an evaluation index of presenteeism. Logistic regression analysis was performed to predict presenteeism loss.

RESULTS

Data on 13,292 people were analyzed. Presenteeism loss was significantly higher in the diabetic group versus the normal group. The untreated group did not differ from the normal group, but presenteeism loss was significantly higher in the treated group.

CONCLUSIONS

Presenteeism loss may occur among diabetic workers in Japan and can be caused by diabetes treatment.

The impact of diabetes on the productivity and economy of Bangladesh

AIMS

To estimate the impact of type 2 diabetes in terms of mortality, years of life lost (YLL) and productivity-adjusted life years (PALY) lost in Bangladesh.

METHODS

A life table model was constructed to estimate the productivity of the Bangladeshi population of current working age (20-59 years) with diabetes. Follow-up to 60 years (retirement age) was simulated. The life table analysis was then repeated assuming that the cohort did not have diabetes, with subsequent improvement in productivity. Differences in the results of the two analyses reflected the impact of diabetes on health and productivity. Demographic and the prevalence of diabetes data were sourced from the International Diabetes Foundation estimates for 2017 and mortality data were based on the 2017 Global Burden of Disease study. Relative risk and productivity indices were based on an Indian and Bangladeshi study, respectively. The cost of each PALY was assumed to be equivalent to gross domestic product (GDP) per equivalent full-time worker (US$8763). Future costs and years of life, and PALYs lived were discounted at an annual rate of 3%.

RESULTS

Assuming a follow-up of this population (aged 20-59 years) until age 60 years or death, an estimated 813 807 excess deaths, loss of 4.0 million life years (5.5%) and 9.2 million PALYs (20.4%) were attributable to having diabetes. This was equivalent to 0.7 YLL, and 1.6 PALYs lost per person. The loss in PALYs equated to a total of US$97.4 billion lost (US$16 987 per person) in GDP. The results of the scenario analysis showed that the estimation was robust.

CONCLUSION

In Bangladesh, the impact of diabetes on productivity loss and the broader economy looms large, and poses a substantial risk to the country's future prosperity. This highlights the critical importance of health strategies aimed at the control of diabetes.

The Social And Economic Cost Of Sleep Disorders

STUDY OBJECTIVES

To estimate economic cost of common sleep disorders in Australia for 2019-2020.

METHODS

Costs were estimated for obstructive sleep apnea (OSA), insomnia, and restless legs syndrome (RLS) using prevalence, financial, and nonfinancial data from national databases. These included: (1) financial costs associated with health care, informal care, productivity losses, non-medical accident costs, deadweight loss from taxation/welfare inefficiencies; and (2) nonfinancial costs associated with loss of well-being. They were expressed in US dollars ($).

RESULTS

Estimated overall cost of sleep disorders in Australia in 2019-2020 (population: 25.5 million) was $35.4 billion (OSA $13.1 billion; insomnia $13.3 billion, RLS $9.0 billion). Of this, the financial cost component was $10.0 billion, comprised of: health system costs $0.7 billion; productivity losses $7.7 billion; informal care $0.2 billion; other, mainly non-medical accident costs, $0.4 billion; and deadweight losses $1.0 billion. For moderate to severe OSA syndrome, insomnia unrelated to other conditions and RLS, financial costs represented $16,717, $21,982, and $16,624 per adult with the condition for the year, respectively. The nonfinancial cost was $25.4 billion.

CONCLUSIONS

The economic costs associated with sleep disorders are substantial. The financial component of $10.0 billion is equivalent to 0.73% of Australian gross domestic product. The nonfinancial cost of $25.4 billion represents 3.2% of total Australian burden of disease for the year. Health system costs of these disorders are low relative to those associated with their consequences, suggesting greater expenditure on detection, treatment and prevention is warranted.

Effect of Huang-Lian Jie-Du Decoction on Glucose and Lipid Metabolism in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis

Background: Type 2 diabetes mellitus (T2DM) is a heterogeneous disease characterized by persistent hyperglycemia. Huang-Lian Jie-Du decoction (HLJDD) is a traditional Chinese medicine formula which is widely used in treating T2DM in China. A thorough understanding of current body of evidence is needed.

Objective: this study aims to summarize the clinical evidence of HLJDD for T2DM to provide an up-to-date and accurate understanding of this issue for research and clinical practice.

Methods: Six databases were searched from inception to June 27, 2020 without language and publication status restrictions and randomized controlled trials about HLJDD on T2DM were included. Two evaluators searched and screened citations independently. Risk of bias was assessed by 2019 version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB2). Risk ratio (RR) with 95% confidence interval (CI) was used as an effect measure for dichotomous outcomes and mean difference (MD) with 95% CI was used for continuous outcomes. Subgroup analyses and sensitivity analyses were carried out.

Results: Nine studies including 811 participants were included in this study. The overall risk of bias was high risk. Compared with metformin alone, combination treatment of HLJDD and metformin may result in a reduction in HbA1c, FBG, 2hPG, HOMA-IR and an improved lipid metabolism. Evidence comparing HLJDD and metformin or no intervention or placebo was insufficient. The quality of evidence was low.

Conclusions: Current evidence about HLJDD on T2DM is still uncertain and more high-quality studies are needed to firmly establish the clinical efficacy and safety of HLJJD.

Prevalence of Diagnosed Diabetes Among Employed US Adults by Demographic Characteristics and Occupation, 36 States, 2014 to 2018

OBJECTIVE

To assess the prevalence of diagnosed diabetes among employed US adults from 36 states by occupation group using data from 2014 to 2018 Behavioral Risk Factor Surveillance System.

METHODS

Prevalence of diabetes was calculated by 22 broad and 93 detailed occupation groups among a sample of 366,633 employed respondents. Wald chi-square values were used to determine the significance of associations between diabetes and occupation groups after adjusting for sex, age, and race/ethnicity.

RESULTS

The prevalence of diabetes was 6.4% among employed US adults. The three broad occupation groups with the highest adjusted prevalence of diabetes were protective services (8.9%), farming, fishing, and forestry (8.8%), and community and social services (8.4%).

CONCLUSIONS

Prevalence of diabetes differed by occupation. Work-related factors (eg, shift work, job stress) should be further examined in relation to risk of developing diabetes.

Association of diabetes type and chronic diabetes complications with early exit from the labour force: register-based study of people with diabetes in Finland

AIMS/HYPOTHESIS

Diabetes and diabetes complications are a cause of substantial morbidity, resulting in early exits from the labour force and lost productivity. The aim of this study was to examine differences in early exits between people with type 1 and 2 diabetes and to assess the role of chronic diabetes complications on early exit. We also estimated the economic burden of lost productivity due to early exits.

METHODS

People of working age (age 17-64) with diabetes in 1998-2011 in Finland were detected using national registers (Ntype 1 = 45,756, Ntype 2 = 299,931). For the open cohort, data on pensions and deaths, healthcare usage, medications and basic demographics were collected from the registers. The outcome of the study was early exit from the labour force defined as pension other than old age pension beginning before age 65, or death before age 65. We analysed the early exit outcome and its risk factors using the Kaplan-Meier method and extended Cox regression models. We fitted linear regression models to investigate the risk factors of lost working years and productivity costs among people with early exit.

RESULTS

The difference in median age at early exit from the labour force between type 1 (54.0) and type 2 (58.3) diabetes groups was 4.3 years. The risk of early exit among people with type 1 diabetes increased faster after age 40 compared with people with type 2 diabetes. Each of the diabetes complications was associated with an increase in the hazard of early exit regardless of diabetes type compared with people without the complication, with eye-related complications as an exception. Diabetes complications partly but not completely explained the difference between diabetes types. The mean lost working years was 6.0 years greater in the type 1 diabetes group than in the type 2 diabetes group among people with early exit. Mean productivity costs of people with type 1 diabetes and early exit were found to be 1.4-fold greater compared with people with type 2 diabetes. The total productivity costs of incidences of early exits in the type 2 diabetes group were notably higher compared with the type 1 group during the time period (€14,400 million, €2800 million).

CONCLUSIONS/INTERPRETATION

We found a marked difference in the patterns of risk of early exit between people with type 1 and type 2 diabetes. The difference was largest close to statutory retirement age. On average, exits in the type 1 diabetes group occurred at an earlier age and resulted in higher mean lost working years and mean productivity costs. The potential of prevention, timely diagnosis and management of diabetes is substantial in terms of avoiding reductions in individual well-being and productivity.

Glycemic benefits with adherence to testosterone therapy in men with hypogonadism and type 2 diabetes mellitus

BACKGROUND

While previous studies have demonstrated testosterone's beneficial effects on glycemic control in men with hypogonadism and Type 2 Diabetes, the extent to which these improvements are observed based on the degree of treatment adherence has been unclear.

OBJECTIVES

To evaluate the effects of long-term testosterone therapy in A1C levels in men with Type 2 Diabetes Mellitus and hypogonadism, controlling for BMI, pre-treatment A1C, and age among different testosterone therapy adherence groups.

MATERIALS AND METHODS

We performed a retrospective analysis of 1737 men with diabetes and hypogonadism on testosterone therapy for 5 years of data from 2008-2018, isolating A1C, lipid panels, and BMI results for analysis. Subjects were categorized into adherence groups based on quartiles of the proportion of days covered (> 75% of days, 51-75% of days, 26-50% of days and 0-25% of days), with >75% of days covered considered adherent to therapy.

RESULTS

Pre-treatment median A1C was 6.8%. Post-treatment median A1C was 7.1%. The adherent group, >75%, was the only group notable for a decrease in A1C, with a median decrease of -0.2 (p = 0.0022). BMI improvement was associated with improved post-treatment A1C (p = 0.007). When controlling for BMI, age, and pre-treatment A1C, the >75% adherence group was associated with improved post-treatment A1C (p < 0.001).

DISCUSSION

When controlling for all studied variables, testosterone adherence was associated with improved post-treatment A1C. The higher the initial A1C at the initiation of therapy, the higher the potential for lowering the patient's A1C with >75% adherence. Further, all groups showed some reduction in BMI, which may indicate that testosterone therapy may affect A1C independent of weight loss.

CONCLUSION

Even when controlling for improved BMI, pre-treatment A1C, and age, testosterone positively impacted glycemic control in diabetes patients with hypogonadism, with the most benefit noted in those most adherent to therapy (>75%).

Self-employment and cardiovascular risk in the US general population

Background

Studies on self-employment and cardiovascular risk are very limited. We examined the relationship between self-employment and cardiovascular risk among the general population in the United States from 1999 to 2016.

Methods

Using the National Health and Nutrition Examination Survey (NHANES), we identified all patients with hypertension (HTN), hyperlipidemia (HLD), diabetes mellitus (DM), stroke, heart failure (HF), and coronary artery disease (CAD) between 1999 and 2016. Type of job was defined based on the participant's response to the survey question as “an employee of a private company, business, or individual for wages, salary, or commission” or “self-employed in own business, professional practice or farm”. Multivariable logistic regression analyses were performed to adjust for confounders.

Results

Of 30,103 patients, 2835 (9.4%) were self-employed in their own business, professional practice, or farm and 27,268 (90.6%) were employed by a private company, business, or government. After adjusting for age, race, sex, BMI, marital status, educational level, health insurance status, smoking status, sleep duration and lipid profiles, self-employed individuals had a higher prevalence of HTN (OR: 1.12; 95% confidence interval [CI] 1.05–1.20), HLD (OR: 1.10; 95% CI 1.07–1.31), stroke (OR: 1.45; 95% CI 1.27–1.67), HF (OR: 1.17; 95% CI 1.03–1.32), and CAD (OR: 1.26; 95% CI 1.13–1.35) (all P v< 0.05).

Conclusions

Self-employment may be associated with greater cardiovascular risk in the US general population. Further prospective studies are urgently needed to establish the optimal preventive strategy to reduce cardiovascular risk in self-employed individuals.

•

Self-employment may be associated with cardiovascular risk in the US general

population

•

Self-employed individuals may encounter work-related adversity, leading to

cardiovascular risk

•

Further prospective studies and clinical trials are urgently needed to establish the optimal preventive strategy for reducing cardiovascular risk associated with self-employment

Protection motivation theory to predict intention of healthy eating and sufficient physical activity to prevent Diabetes Mellitus in Thai population: A path analysis

BACKGROUND AND AIMS

Diabetes mellitus is a global health problem causing premature death and economic burden. The study aimed to investigate an application of the protection motivation theory (PMT) model to explain the intention of healthy eating behaviors and physical activity among healthy Thais.

METHODS

This study was a part of a large case control focused only on the control group without noncommunicable diseases. Nine hundred ninety-seven subjects were drawn from eleven provinces of Thailand. A self-administered questionnaire was constructed based on the PMT model to gather information on predictive factors on eating behaviors and physical activity. Path analysis was used to determine whether the empirical data fit the PMT structure as well as to assess the strength of association among PMT constructed factors predicting behavioral intention.

RESULTS

The findings demonstrated that empirical data of eating behaviors (CMIN χ2 p-value = 0.462; CMIN/df = 0.901; NFI = 0.997; CFI = 1; RMSEA <0.001) and physical activity (CMIN χ2 p-value = 0.053; CMIN/df = 2.187; NFI = 0.987; CFI = 0.993; RMSEA = 0.035) fit the PMT. The strongest predictive factor of behavioral intention on eating behaviors was response efficacy (β = 0.146), while self-efficacy was found to be the strongest factor for physical activity (β = 0.11). Knowledge had the only indirect effect on behavior intention through perceived susceptibility and perceived severity.

CONCLUSION

In conclusion, information on susceptibility and severity should be incorporated in intervention strategies to enhance response efficacy and self-efficacy to prevent diabetes.

Individual, Workplace, and Combined Effects Modeling of Employee Productivity Loss

OBJECTIVE

Systematically and simultaneously investigate a wide range of influences on workplace productivity loss.

METHODS

Data were collected from 31,950 employees in the UK. Influences of employees' socioeconomic characteristics, lifestyle, commuting, physical and mental health, well-being, and job and workplace environment were assessed using structural equation models, allowing systematic decomposition of the complex network of influences and creating new, deeper insights.

RESULTS

Mental health, physical health, job characteristics, and support from organization are the most important (direct or indirect) determinants of employees' productivity. 93% of the indirect influences are mediated through mental and/or physical health. Some influences that appear as strong predictors in simple models lose most of their explanatory power in more complex models with additional explanatory variables.

CONCLUSIONS

There is a need for a more tailored strategy to improve employees' wellbeing as well as the overall organizational, work, and management culture.

Continuous glucose monitoring assessment of metabolic control in east African children and young adults with type 1 diabetes: A pilot and feasibility study

BACKGROUND

For individuals with type 1 diabetes (T1D) in East Africa and other low-income regions, the last decade has seen substantial gains in access to insulin and trained healthcare providers, yet metabolic control remains poor.

METHODS

The objective was to determine the feasibility of continuous glucose monitoring (CGM) and to gather baseline metabolic data for future power analysis in Ugandan and Kenyan youth with T1D using a Freestyle Libre Pro blinded CGM.

RESULTS

Of 78 participants recruited, four sensors fell off and six patients did not return, leaving 68 evaluable subjects. Average age was 16 ± 5 (range 4-26) years, 43% female. Average diabetes duration was 7 ± 5 years, insulin dose 0.9 ± 0.3 U/kg/d, and number of fingerstick glucose levels per day 2.1 ± 1.1. All were on human insulin. Point-of-care HbA1c was 10.9 ± 2.7% (96 ± 30 mmol/mol). Mean number of sensor days was 13 ± 3; >90% wore the sensor for ≥10 days. Mean glucose was 231 ± 86 mg/dL (12.8 ± 4.8 mmol/L). Only 30 ± 19% of time was spent in the target range (70-180 mg/dL; 3.9-10 mmol/L), and 7 ± 8% of time was spent in hypoglycaemia (glucose <55 mg/dL, 3.0 mmol/L). Hypoglycaemia occurred in 81% of participants, averaging five events/wk with an average duration of 140 ± 79 minutes/event.

CONCLUSIONS

Despite significant diabetes care improvements, East African youth with T1D have poor metabolic control with chronic hyper- and hypoglycaemia, placing them at high risk for serious acute and chronic complications. This study demonstrates the feasibility of CGM use in this population and provides baseline metabolic data that will be used to inform a future intervention study.

Glucose metabolism in midlife predicts participation in working life: a Northern Finland Birth Cohort 1966 study

Objective

To evaluate how clinically measured glucose metabolism categories predict registered participation in working life.

Methods

In the 46-year follow-up of Northern Finland Birth Cohort 1966 (n=5328, 2342 men and 2986 women), we used oral glucose tolerance tests, surveys and glycated haemoglobin to determine glucose metabolism categorised as normal, pre-diabetes, screen-detected and previous type 2 diabetes (T2D). Consequent participation in working life during the 2-year follow-up period was measured as registered disability, unemployment and employment days, for which incidence rate ratios (IRRs) with 95% CIs were calculated using Poisson regression, adjusted for baseline employment and socioeconomic, health-related and behavioural factors.

Results

In comparison to normal glucose, all categories of impaired glucose metabolism were associated with poorer participation in working life in the unadjusted models. After adjustments, the risks (IRR (95% CI)) of disability days remained heightened by both screen-detected and previous T2D among men (1.3 (1.3 to 1.4) and 1.5 (1.4 to 1.5), respectively), whereas among women the risks were lowered (0.9 (0.8 to 0.9) and 0.9 (0.9 to 1.0), respectively). The risks of unemployment were consistently higher in all categories of impaired glucose metabolism, and were the highest among women with previous T2D (1.6 (1.5 to 1.6)). Correspondingly, the rates of total employment days were lower in relation to screen-detected T2D among men and women (5% and 6%, respectively), and previous T2D (6% and 3%).

Conclusions

Overall, impaired glucose metabolism associated with deteriorated working life participation already in middle age. The high prevalence of impaired glucose metabolism emphasises the need for actions to support sustainable working careers.

Health and transitions into nonemployment and early retirement among older workers in Canada

Extending working lives is considered a viable solution to fiscal and macroeconomic challenges related to population ageing. Opportunities for sustained employment, however, are not experienced equally among older population, particularly among those with a health problem. This study aims to examine the longer-term effect of health on employment trajectories in later part of working life using a unique survey-administrative linked dataset for Canada. Specifically, we apply competing-risks models to analyze whether different aspects of health conditions at baseline predict subsequent exit routes, including nonemployment and early retirement. The nonparametric findings of the paper show that only about 33% of workers aged 50-62 with a health problem at baseline remained employed at age 64, compared to 55% of healthy workers. Exiting into nonemployment seemed more common among leavers with activity limitations, while early retirement was more likely among healthy leavers. These results are robust even when individuals' preferences for work and financial factors were controlled for. Moreover, we identify differential impacts of specific chronic diseases on early work exit. Not all symptoms affect employment transitions to a similar extent. Older workers who reported the comorbidity of mental and musculoskeletal disorders faced an increased risk of nonemployment, while the presence of diabetes and cardiovascular problems at baseline were more predictive of early retirement.

Estimating the Impact of Diabetes Mellitus on Worker Productivity Using Self-Report, Electronic Health Record and Human Resource Data

OBJECTIVE

We assessed the relationship between diabetes mellitus (DM) and measures of worker productivity, direct health care costs, and costs associated with lost productivity (LP) among health care industry workers across two integrated health care systems.

METHODS

We used data from the Value Based Benefit Design Health and Wellness Study Phase II (VBD), a prospective study of employees surveyed across health systems. Survey and health care utilization data were linked to estimate LP and health care utilization costs.

RESULTS

Mean marginal lost productive time per week was 0.56 hours higher for respondents with DM. Mean adjusted monthly total health care utilization costs were $467 higher for respondents with DM.

CONCLUSION

The impact of DM is reflected in higher rates of LP and higher indirect costs for employers related to LP and higher health care resource use.

Who gains the most from improving working conditions? Health-related absenteeism and presenteeism due to stress at work

Work stress-related productivity losses represent a substantial economic burden. In this study, we estimate the effects of social and task-related stressors and resources at work on health-related productivity losses caused by absenteeism and presenteeism. We also explore the interaction effects between job stressors, job resources and personal resources and estimate the costs of work stress. Work stress is defined as exposure to an unfavorable combination of high job stressors and low job resources. The study is based on a repeated survey assessing work productivity and workplace characteristics among Swiss employees. We use a representative cross-sectional data set and a longitudinal data set and apply both OLS and fixed effects models. We find that an increase in task-related and social job stressors increases health-related productivity losses, whereas an increase in social job resources and personal resources (measured by occupational self-efficacy) reduces these losses. Moreover, we find that job stressors have a stronger effect on health-related productivity losses for employees lacking personal and job resources, and that employees with high levels of job stressors and low personal resources will profit the most from an increase in job resources. Productivity losses due to absenteeism and presenteeism attributable to work stress are estimated at 195 Swiss francs per person and month. Our study has implications for interventions aiming to reduce health absenteeism and presenteeism.

Depression and change in occupational functioning in type 2 diabetes

BACKGROUND

The effect of depression on both employment and productivity in type 2 diabetes (T2D) is poorly understood.

AIMS

We tested whether depressive symptoms at diagnosis of T2D are associated with change in employment status and productivity over 2-year follow-up.

METHODS

In a prospective analysis of working-age (18-63 years) people with newly diagnosed T2D recruited from primary care, we tested the association between depressive symptoms at diagnosis of T2D (baseline) and employment rates over 2 years. Using the Patient Health Questionnaire-9, depressive symptoms were measured categorically (depression caseness score ≥10) and continuously. In those employed, we measured changes in presenteeism and absenteeism using the World Health Organization (WHO) Health and Work Performance Questionnaire in univariate and multivariate models, respectively, including and excluding part-time workers.

RESULTS

Of 1202 people aged 18-63 at baseline, 982 (82%) provided employment information; the mean age was 50.3 (SD 8.1) years, 44% were female, 59% of non-white ethnicity and 16% had depression. After adjustment for age, sex, ethnicity, socio-economic status, diabetes control and depression treatment, depression caseness was associated with worsening unemployment over 2 years only in full-time workers (odds ratio 0.43 (95% CI 0.20, 0.96), P < 0.05). In those employed full-time or part-time, total depressive symptoms were associated with worsening presenteeism over 2 years after full adjustment (β = -2.63 (95% CI -4.81, -0.45), P < 0.05), despite no association with worsening absenteeism.

CONCLUSIONS

In newly diagnosed T2D, depressive symptoms demonstrate an association with worsening employment rate and decline in work productivity over 2-year follow-up.

How do cardiovascular diseases harm labor force participation? Evidence of nationally representative survey data from Japan, a super-aged society

OBJECTIVE

To evaluate how cardiovascular diseases harm labor force participation (LFP) among the Japanese population and verify the validity of plasma biomarkers as instrumental variables of cardiovascular diseases after adjusting for a broad set of confounders including dietary intake.

DESIGN

Using nationally representative repeated cross-sectional surveys in Japan, the Comprehensive Survey of Living Conditions and National Health and Nutrition Survey, with plasma biomarkers as instrumental variables for quasi-randomization.

SETTING

Onset of cardiovascular diseases in those receiving regular treatment for hypertension, intracerebral hemorrhage, intracerebral infarction, angina pectoris, myocardial infarction, or other types of cardiovascular diseases.

PARTICIPANTS

A total of 65,615 persons aged ≥ 20 years (35,037 women and 30,578 men) who completed a survey conducted every three years from 1995 through 2013.

MAIN OUTCOME MEASURES

Respondent employment and weekly working hours during each survey year.

RESULTS

Cardiovascular diseases significantly and remarkably reduced the probability of working by 15.4% (95% CI: -30.6% to -0.2%). The reduction in working probability was detected for women only. Respondents aged ≥ 40 years were less likely to work once diagnosed and the reduction was enlarged for those aged ≥ 65 years, while those aged < 40 years appeared to be unaffected. Probability of engaging in manual labor significantly decreased once diagnosed; however, no impact was found for cognitive occupations. Among employed respondents, the adverse effects of cardiovascular diseases decreased working hours by five hours per week. Validity of the biomarker instrumental variables was generally verified.

CONCLUSIONS

A vicious circle is suggested between LFP and unfavorable health. However, the effects vary across age, sex, and occupation type, even after adjusting for causal effects, which could cause a downward bias in LFP impact.

ATTRIBUTES

cardiovascular disease, labor force participation, instrumental variable method as quasi-randomization, plasma biomarker, Comprehensive Survey of Living Conditions, National Health and Nutrition Survey.

The impact of diabetes on productivity in China

AIMS/HYPOTHESIS

Diabetes increases the risk of premature death and reduces work productivity. We estimated the impact of diabetes in China in terms of mortality, years of life lost, and productivity-adjusted life years (PALYs) lost in the Chinese population.

METHODS

Life table modelling was used with simulated follow-up of those with diabetes in the Chinese population of working age (20-49 years in women and 20-59 years in men) until retirement age (50 years for women and 60 years for men). Data regarding the prevalence of diabetes, as well as excess mortality, labour force dropout and productivity loss attributable to diabetes, were taken from published sources. Models were constructed for the cohort with diabetes and repeated for the same cohort assuming that they had no diabetes. The differences in number of deaths, years of life lived and PALYs lived between the two models reflected the impact of diabetes. The WHO standard 3% annual discount rate was applied to years of life and PALYs lived.

RESULTS

In 2017, an estimated 56.4 million people of working age in China (7.1%) had diabetes. With simulated follow-up until retirement, those with diabetes were predicted to experience an estimated 4.1 million more deaths, the loss of an additional 22.7 million years of life (3.7%) and the loss of an additional 75.8 million PALYs (15.1%). This was equivalent to an average of 1.3 PALYs lost per person with diabetes. Based on gross domestic product (GDP) per full-time worker in 2017, the loss in PALYs equated to a total of Chinese ¥17.4 trillion (US$2.6 trillion) in lost GDP owing to reduced productivity, with an average of ¥307,925 (US$45,959) lost per person with diabetes.

CONCLUSIONS/INTERPRETATION

Our study demonstrates the significant cumulative impact of diabetes on productivity across the working lifetime in the Chinese population, highlighting the potential economic benefits of diabetes prevention in the longer term.

Willingness to pay for flexibility at the workplace for people with diabetes and chronic disease: a discrete choice experiment in a population of workers in Denmark

Background

The number of people of working age suffering from chronic disease is increasing. Chronic diseases such as diabetes can cause negative work-related consequences in the form of early retirement or absenteeism. Providing flexible workplace accommodations may enable the person with diabetes to retain their position in the labor market. However, the successfulness of such accommodations depends largely on the perceptions of those not suffering from diabetes. The purpose of this study was to examine preferences of a population of workers in Denmark for flexibility at the workplace, for people with diabetes and for people with chronic disease in general, measured as their willingness to pay (WTP).

Methods

Respondents were drawn from online panels and randomized to answer an online survey regarding flexibility at the workplace for people with diabetes or chronic disease in general. One thousand one hundred and three respondents were included in the analysis. Based on discrete choice experiments included in the survey, we analyzed WTP for five flexibility attributes: part-time, customizing job description, additional break with pay and time off for medical visits with and without pay. We further examined perceptions of the employer’s responsibility to ensure workplace flexibility for five different specific chronic diseases including diabetes. Finally, we analyzed differences in WTP for flexibility across subgroups.

Results

Respondents’ WTP was significantly higher for chronic disease in general compared to diabetes for the possibility of part-time (81€/month vs. 47€/month, p < 0.001) and customizing job description (58€/month vs. 41€/month, p = 0.018) attributes, as well as for the overall average (49€/month vs. 36€/month, p = 0.008). Ensuring workplace flexibility for patients with a specific chronic disease other than diabetes (cancer, heart disease, arthritis and COPD) was to a higher degree considered a responsibility of the employer. Average WTP for flexibility varied across subgroups, consistently yielding a larger amount for chronic disease in general.

Conclusions

The population examined in this study are willing to pay less for flexibility at the workplace for people with diabetes compared to people with chronic disease in general. This finding was evident in terms of specific flexibility attributes and on average across subgroups.

Electronic supplementary material

The online version of this article (10.1186/s12889-019-6919-6) contains supplementary material, which is available to authorized users.

Evaluation of ADL and BMI in the management of diabetes mellitus at secondary and tertiary health facilities

AIMS

Physical activities of daily living (ADL) constitutes one of diabetes management options. This study aimed to assess the extent that ADL and BMI are evaluated among diabetes patients in hospital practice.

METHOD

This was a clinical observational baseline study in two hospitals. Audit of medical files was performed to assess if BMI and occupations were recorded (N = 112). Afterwards, 'N = 38' who consented to participate in prospective study were conveniently sampled to assess ADL in relation to accessible metabolic syndrome tests. A validated questionnaire was used to collect data, which were analysed using SPSS version 20.

RESULTS

Audit shows 55/112 of clients' occupation were taken, of which 31% has BMI record. Those with lipid profile results are without blood pressure and vice versa. In the cross-sectional assessment, 74% are in physically demanding ADL occupations, but affirmed inactivity is 98% on leisure exercise. Further, 47% have BMI >25 kg/m2 and were consistently less active on all leisure ADL relative to those with BMI <25 kg/m2 (p < 0.02).

CONCLUSION

This report highlights oversight in clinical practice, whereby accessible metabolic syndrome parameters and occupation of clients living with diabetes are being assessed inconsistently. This implies an unmet need in the integration BMI and occupational information to improve diabetes self-management.

Absenteeism and Presenteeism Associated With Common Health Conditions in Brazilian Workers

BACKGROUND

This study describes the effects of common health conditions associated with absenteeism and presenteeism in a population-based sample of workers in Brazil.

METHODS

Data were analyzed from the cross-sectional São Paulo Megacity Mental Health Survey on 1737 employed residents aged more than 18 years old conducted from 2005 to 2007.

RESULTS

Physical diseases and mental disorders are highly prevalent among Brazilian workers. The prevalence of absenteeism was 12.8%, and the prevalence of presenteeism was 14.3%. The condition most commonly associated with work impairment was mood disorder.

CONCLUSIONS

Improving access to care and increasing detection and management of mental disorders should be a priority in Brazil. Occupational health programs and services can play a key role in increasing the productivity of the Brazilian workforce.

Impact of Diabetes and Disease Duration on Work Status Among U.S. Older Adults

Objectives: To examine the effects of diabetes and disease duration on work status over a 9-year period. Method: Multinomial logistic regression models examined the probability of retirement and disability impeding work, using data from the Health and Retirement Study (n = 5,576). Results: Among participants who had retired in 2012, almost 14% had incident diabetes (4.91 mean years with diabetes, 95% confidence interval [CI] = [4.67, 5.15]). Approximately 22% of participants who reported a disability impeded labor force participation had prevalent diabetes (17.1 mean years with diabetes, 95%CI = [16.41, 17.71]). Only prevalent diabetes that indicated longer disease duration was associated with disability (relative risk ratio [RRR] = 1.83, 95% CI = [1.30, 2.57]). There was evidence of effect modification among Hispanics only (p = .02). Discussion: Diabetes increased risk of exiting the workforce due to disability, and mean disease duration was associated with changes. Disease management and workplace interventions may enable older adults to continue being productive should they choose to remain in the workforce.