Diabetes Risk Research Articles

Relation between nutrition intake, prediabetes, and central obesity with handgrip strength in Indonesian medical student

Background: Muscles are crucial in creating movement, stabilising body posture, and regulating body temperature. Muscle strength can be assessed using handgrip strength. Handgrip strength can predict muscle function, nutritional status, diabetes risk, and the risk of metabolic syndrome. Handgrip strength can be influenced by muscle mass, nutritional intake, fat mass, physical activity level, and metabolic syndrome. Objective: This research is to find relationship between handgrip strength and nutritional intake, muscle mass, and central obesity. Methods: The research was conducted as a cross-sectional study using observational analytical methods. The sample consisted of 53 individuals selected through purposive sampling. Handgrip strength can be measured using a hand dynamometer, nutritional intake using a 2x24 hour food recall, muscle mass using a body composition analyzer, central obesity using waist to hip ratio, and fasting blood sugar using a glucometer. Statistical data analysis employed the chi-square test and independent T-test. Results: The results indicated a relationship between central obesity and handgrip strength (p = 0.006). Researchers are interested in studying muscle strength and its predictors concerning central obesity, prediabetes, and nutritional status in medical students. The results indicated a relationship between handgrip strength and central obesity (p = 0.006), but no relationship was found between handgrip strength and energy intake (p = 0.235), protein intake (p = 0.524), and prediabetes (p = 0.272). Conclusion: There is a relationship between central obesity and handgrip strength. Future researchers are encouraged to consider additional factors, including physical activity, muscle mass index, and comorbidities.

Insulin Resistance and Impaired Insulin Secretion Predict Incident Diabetes: A Statistical Matching Application to the Two Korean Nationwide, Population-Representative Cohorts.

To evaluate whether insulin resistance and impaired insulin secretion are useful predictors of incident diabetes in Koreans using nationwide population-representative data to enhance data privacy. This study analyzed the data of individuals without diabetes aged >40 years from the Korea National Health and Nutrition Examination Survey (KNHANES) 2007-2010 and 2015 and the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS). Owing to privacy concerns, these databases cannot be linked using direct identifiers. Therefore, we generated 10 synthetic datasets, followed by statistical matching with the NHIS-HEALS. Homeostasis model assessment of insulin resistance (HOMA-IR) and homeostasis model assessment of β-cell function (HOMA-β) were used as indicators of insulin resistance and insulin secretory function, respectively, and diabetes onset was captured in NHIS-HEALS. A median of 4,580 (range, 4,463 to 4,761) adults were included in the analyses after statistical matching of 10 synthetic KNHANES and NHIS-HEALS datasets. During a mean follow-up duration of 5.8 years, a median of 4.7% (range, 4.3% to 5.0%) of the participants developed diabetes. Compared to the reference low-HOMA-IR/high-HOMA-β group, the high-HOMA-IR/low- HOMA-β group had the highest risk of diabetes, followed by high-HOMA-IR/high-HOMA-β group and low-HOMA-IR/low- HOMA-β group (median adjusted hazard ratio [ranges]: 3.36 [1.86 to 6.05], 1.81 [1.01 to 3.22], and 1.68 [0.93 to 3.04], respectively). Insulin resistance and impaired insulin secretion are robust predictors of diabetes in the Korean population. A retrospective cohort constructed by combining cross-sectional synthetic and longitudinal claims-based cohort data through statistical matching may be a reliable resource for studying the natural history of diabetes.

Comparative Study of Machine Learning Based Diabetes Predictive System

Diabetes is one of the most lethal diseases in the world. It is also a precursor to various other disorders such as coronary failure, blindness, and kidney diseases. Patients often need to visit diagnostic centers to get their reports after consultation, which requires a significant investment of time and money. However, with the growth of machine learning methods, we now have the ability to address this issue. Advanced systems utilizing information processing can forecast whether a patient has diabetes or not. Furthermore, early prediction of the disease can provide patients with critical interventions before it fully develops. Data mining techniques can extract hidden information from large datasets of diabetes-related information. The aim of this research is to develop a system that can predict the diabetic risk level of a patient with higher accuracy. The model development is based on classification methods such as K-Nearest Neighbors, Decision Tree, and Support Vector Machine (SVM) algorithms. For K-Nearest Neighbors, the models achieve an accuracy of 71%, 78% for SVM, and 70% for the Decision Tree algorithm. The outcomes demonstrate a significant accuracy of these methods.

A Black American Nutrition Scholar and Advocate: My Journey.

I started my journey as a nutrition scholar in 1974 when I began PhD studies at Cornell University. My journey has been rich with opportunity. I engaged in research on diet-related risks for cardiovascular diseases, diabetes, and cancer, partly motivated by my strong commitment to addressing health disparities affecting Black Americans. Obesity became my major focus and would eventually involve both US and global lenses. This focus was also linked to other dietary intake issues and health disparities and drew on knowledge I had gained in my prior study and practice of social work. I positioned myself as a bridge builder across nutrition, epidemiology, and public health, advocating for certain new ways of thinking and acting in these spheres and in the academy itself. Life skills honed during my formative years living within racially segregated contexts have been critical to any successes I have achieved.

Metabolic Complications Associated with Use of Integrase Strand Transfer Inhibitors (InSTI) for the Treatment of HIV-1 Infection: Focus on Weight Changes, Lipids, Glucose and Bone Metabolism.

This review aims to summarize recently published peer reviewed papers on the influence of treatment with Integrase Strand Transfer Inhibitors (InSTI) in people with HIV (HIV) on metabolic health, including weight gain, lipid parameters, glucose homeostasis, and bone health. InSTI have a mild/moderate effect on weight gain in both antiretroviral (ART) naïve and ART experienced PWH, which is more pronounced in certain groups (i.e. women, people of Black African ethnicity, those with lower socioeconomic status, and older people). The effect on weight is also driven by other components of the ART regimen as well as previous exposure to certain ART. InSTI have a relatively safe profile in terms of lipid parameters and bone health, compared to other ART classes, although some studies suggest a greater risk of insulin resistance and diabetes in PWH using InSTI, especially 2nd generation InSTI. While there is some evidence suggesting a negative impact of InSTI on some aspects of metabolic health (weight gain and glucose homeostasis), they remain the preferred treatment option for most PWH, due to their high efficacy and tolerability. However, an individualised approach to ART choice in PWH should be used in order to avoid negative outcomes in populations at higher risks of metabolic complications.

Associations between type 2 diabetes mellitus and risk of falls among community-dwelling elderly people in Guangzhou, China: a prospective cohort study

BackgroundSeveral studies have demonstrated that older adults with type 2 diabetes mellitus (T2DM) have a higher risk of falls compared to those without T2DM, which may lead to disability and a lower quality of life. While, limited prospective studies have quantified the associations in southern China. We conducted a longitudinal cohort study to quantify the associations between T2DM and falls and investigate the risk factors of falls among community-dwelling elderly people in Guangzhou, China.MethodsThe population-based study included 8800 residents aged 65 and over in 11 counties of Guangzhou at baseline in 2020 and then prospectively followed up through 2022. Of 6169 participants had complete follow-up and were included in the present study. A fall event was identified by self-reported. The Cox regression was applied to quantify the associations between T2DM and falls, and hazard ratios (HRs) were calculated to the factors associated with falls among participants.ResultsThe median follow-up time for participants was 2.42 years. During the follow-up period, the incidence of falls among all participants was 21.96%. After adjusting for covariates in Cox regression models, T2DM remained a significant risk factor for falls, with HR of 1.781 (95% CI: 1.600-1.983) in the unadjusted covariates model and 1.757 (1.577–1.957) in the adjusted covariates model. Female (1.286, 1.136–1.457), older age (≥ 80: 1.448, 1.214–1.729), single marital status (1.239, 1.039–1.477), lower education level (primary school and below: 1.619, 1.004–1.361), hypertension (1.149, 1.026–1.286) and stroke (1.619, 1.176–2.228) were associated with a higher risk of falls, whereas everyday physical exercise (0.793, 0.686–0.918) was associated with a lower risk of falls.ConclusionFalls are common, with risks between T2DM and falls quantified and several factors investigated in the longitudinal cohort study among community-dwelling elderly people in Guangzhou, China. Targeted action on the risk factors may reduce the burden of falls in elderly people with T2DM in the future.

Identification of Immune Checkpoint Inhibitor–Induced Diabetes

Immune checkpoint inhibitors (ICIs) have revolutionized cancer care; however, accompanying immune-related adverse events (irAEs) confer substantial morbidity and occasional mortality. Life-threatening irAEs may require permanent cessation of ICI, even in patients with positive tumor response. Therefore, it is imperative to comprehensively define the spectrum of irAEs to aid individualized decision-making around the initiation of ICI therapy. To define incidence, risk factors, and clinical spectrum of an irreversible and life-threatening irAE: ICI-induced diabetes. This cohort study, conducted at an academic integrated health care system examined 14 328 adult patients treated with ICIs, including 64 patients who developed ICI-induced diabetes, from July 2010 to January 2022. The data were analyzed from 2022 to 2023. Cases of ICI-induced diabetes were manually confirmed; detailed clinical phenotyping was performed at diagnosis and 1-year follow-up. For 862 patients, genotyping data were available, and polygenic risk for type 1 diabetes was determined. For ICI-induced diabetes cases and controls, demographic characteristics, comorbidities, tumor category, and ICI category were compared. Among ICI-induced diabetes cases, markers of glycemic physiology were examined at diagnosis and 1-year follow-up. For patients with available genotyping, a published type 1 diabetes polygenic score (T1D GRS2) was calculated. Of 14 328 participants, 6571 (45.9%) were women, and the median (range) age was 66 (8-106) years. The prevalence of ICI-induced diabetes among ICI-treated patients was 0.45% (64 of 14 328), with an incidence of 124.8 per 100 000 person-years. Preexisting type 2 diabetes (odds ratio [OR], 5.91; 95% CI, 3.34-10.45) and treatment with combination ICI (OR, 2.57; 95% CI, 1.44-4.59) were significant clinical risk factors of ICI-induced diabetes. T1D GRS2 was associated with ICI-induced diabetes risk, with an OR of 4.4 (95% CI, 1.8-10.5) for patients in the top decile of T1D GRS2, demonstrating a genetic association between spontaneous autoimmunity and irAEs. Patients with ICI-induced diabetes were in 3 distinct phenotypic categories based on autoantibodies and residual pancreatic function, with varying severity of initial presentation. The results of this analysis of 14 328 ICI-treated patients followed up from ICI initiation determined the incidence, risk factors and clinical spectrum of ICI-induced diabetes. Widespread implementation of this approach across organ-specific irAEs may enhance diagnosis and management of these conditions, and this becomes especially pertinent as ICI treatment rapidly expands to treat a wide spectrum of cancers and is used at earlier stages of treatment.

Psychosis metabolic risk calculator (PsyMetRiC) in early psychosis: External validation study in Finland.

Accurate detection of cardiometabolic risk in early psychosis is crucial to reducing somatic morbidity and mortality in people with psychotic disorders. We conducted an external validation of the psychosis metabolic risk calculator (PsyMetRiC), a cardiometabolic risk prediction tool developed in the UK and tailored for young people with psychosis. We compared the predictive accuracy and clinical usefulness of PsyMetRiC and a general population-based risk prediction tool for type 2 diabetes, the Finnish Diabetes Risk Score (FINDRISC). We included first-episode psychosis and ultra-high-risk for psychosis patients without metabolic syndrome aged 18-35 years from the Helsinki Early Psychosis and Turku Early Psychosis Study cohorts. We tested two versions of PsyMetRiC: the full model including age, sex, ethnicity, body-mass index, smoking status, prescription of metabolically-active antipsychotic medication, high-density lipoprotein, and triglyceride concentrations, and the partial-model excluding biochemical predictors, and the simplified FINDRISC including BMI, sex, systolic blood pressure, and fasting glucose. Discrimination, calibration, and decision curve analyses were used to assess the predictive performance and clinical usefulness of both PsyMetRiC and FINDRISC. We performed a site-specific re-calibration of PsyMetRiC (PsyMetRiC-Fi). The study sample consisted of 278 individuals (all White European ethnicity, 58.6% male, mean age 24.8 years, 37.8% smoking, mean BMI 23.5). Discrimination was marginally better in the PsyMetRiC full model (C = 0.72, 95% CI, 0.59-0.82) compared with partial model (C = 0.70, 95% CI 0.59-0.80) or FINDRISC (C = 0.63, 95% CI 0.54-0.71). Calibration plots displayed evidence of minor miscalibration for PsyMetRiC, which corrected following recalibration. Miscalibration was more pronounced for FINDRISC. Decision curve analysis showed that PsyMetRiC offers likely clinical usefulness in improving cardiometabolic risk management in early psychosis compared with giving everyone or no one an intervention. PsyMetRiC has utility in predicting cardiometabolic risk in Finnish patients with early psychosis. It has better discriminatory accuracy and offers more accurate risk prediction compared to other available strategies.

Predicting the risk of type 2 diabetes: Standardized diabetes risk score among the Khmer ethnic minority in Vietnam.

Predicting the risk of progression to type 2 diabetes, as well as identifying the factors that increase this risk, helps the population adjust the modifiable risk factors, improve quality of life, and reduce the disease burden. A cross-sectional study was conducted on 918 ethnic Khmer minority people aged 40 and above in Vietnam who had never been diagnosed with type 2 diabetes. To predict the 10-year risk of type 2 diabetes, the Finnish Diabetes Risk Scoring Scale, adjusted for the Asian population with modification of the waist circumpherence and Body Mass Index Cut-Offs, was used. The 10-year predicted risk of progression to type 2 diabetes in ethnic Khmer people aged 40 years and older in southern Vietnam, using the Asian-modified Finnish Diabetes Risk Scoring Scale, resulted 10.54% in the total population study, females have a higher risk at 12.62% compared to 8.01% of males. Among the items that make up the Finnish Diabetes Risk Scoring Scale, age, waist circumference, BMI, family history of diabetes, history of high blood glucose, and use of blood pressure medication were the most accurate predictors, with the area under the Receiver operating characteristic (ROC) curve at 0.83, 0.81, 0.77, 0.75, 0.74 and 0.73 respectively. The optimal cut-off score to identify progression to tipe 2 diabetes was 13.5 points (Se = 1.00, Sp = 1.00, p < 0.001). The multivariable logistic regression model shows that factors associated with high risk of type 2 diabetes progression in 10 years are age, gender, occupation, economic status, education level and regular alcohol consumption (p < 0.05). The study results provide a basis for proposing potential solutions to reduce modifiable risk factors for type 2 diabetes in the population. These include providing culturally appropriate health education and changing behavior to address alcohol consumption. The use of the Asian-modified Finnish Diabetes Risk Scoring Scale to predict the risk of progression to type 2 diabetes and as a screening tool for undiagnosed type 2 diabetes is appropriate for the Vietnamese Khmer population.

Untargeted Metabolomics and Gut Microbiota Modulation Study of Fermented Brown Rice for Obesity.

Obesity or excess adipose tissue mass increases the risk of heart disease, hypertension, and diabetes. Obesity might be prevented by consuming plant-based probiotic fermented foods. This study aimed to determine whether adding Pediococcus acidilactici MNL5 to fermented brown rice (FBR) enhances its metabolites, lipase activity, and antioxidant efficiency. UHPLC-Q-TOF-MS/MS analysis revealed significant changes in untargeted metabolite profiles, while, compared with those of raw brown rice (RBR), FBR contained more antioxidant and lipase inhibitors. We evaluated the FBR in HFD (high-fat-diet)-induced obese mice by employing biochemical, histological, gut microbiome, and serum metabolomics approaches. FBR MD (250 mg/kg) decreased body weight (BW) and fat content compared with RBR. With subsequent FBR MD, mice fed a HFD may have reduced serum lipid levels. A HFD with a mid-dose FBR improved the gut microbiota diversity, composition, and structure; reduced the abundance of obesity-related genera such as Helicobacter, Clostridium, and Desulfovibrio; and promoted the abundance of beneficial genera such as Bifidobacterium, Akkermansia, and Lactobacillus, which are inversely correlated with BW, total cholesterol, TG, LDL-C, and HDL-C. In addition, FBR MD has been associated with increased levels of palmitic acid, EPA, oleic acid, α-linolenic acid, indole, dodecanoic acid, and amino acids. FBR, in its entirety, has exhibited promise as a functional material for ameliorating obesity.

Increased incidence of diabetes in people living with HIV treated with first-line integrase strand transfer inhibitors: A French multicentre retrospective study.

Prevention of cardiovascular disease is a major issue in the current management of people living with HIV. Concern is growing about the metabolic impact of integrase strand transfer inhibitors (INSTIs), which could lead to an increased risk of diabetes, but the data are conflicting. This is an updated version of our previous analysis, with longer follow-up and new molecules. We retrospectively evaluated the incidence of new-onset diabetes in people living with HIV starting combined antiretroviral therapy with an INSTI compared with non-nucleoside reverse transcriptase inhibitors and protease inhibitors. Data were collected from the Dat'AIDS cohort study, a collaboration of 30 HIV treatment centres in France. We used a propensity score-based inverse probability of treatment weighting approach to adjust for baseline characteristics between the two groups (INSTI and non-INSTI). Between 2009 and 2021, a total of 12 150 people living with HIV were included. The incidence of diabetes was higher in the INSTI group than in the non-INSTI group (hazard ratio 1.38; 95% confidence interval 1.07-1.77; p = 0.012). Regardless of the third drug, but to a greater extent for INSTIs, we observed a peak of new-onset diabetes in the year following initiation of combined antiretroviral therapy. The incidence of diabetes was higher in people treated with integrase inhibitors than in those receiving other third agents. This increased risk occurred both during the first year of treatment and in the longer term.

A cocktail of histidine, carnosine, cysteine and serine reduces adiposity and improves metabolic health and adipose tissue immunometabolic function in ovariectomized rats

Many women have sought alternative therapies to address menopause. Recently, a multi-ingredient supplement (MIS) containing L-histidine, L-carnosine, L-serine, and L-cysteine has been shown to be effective at ameliorating hepatic steatosis (HS) in ovariectomized (OVX) rats, a postmenopausal oestrogen deficiency model. Considering that HS frequently accompanies obesity, which often occurs during menopause, we aimed to investigate the effects of this MIS for 8 weeks in OVX rats. Twenty OVX rats were orally supplemented with either MIS (OVX-MIS) or vehicle (OVX). Ten OVX rats received vehicle orally along with subcutaneous injections of 17β-oestradiol (OVX-E2), whereas 10 rats underwent a sham operation and received oral and injected vehicles (control group). MIS consumption partly counteracted the fat mass accretion observed in OVX animals, leading to decreased total fat mass, adiposity index and retroperitoneal white adipose tissue (RWAT) adipocyte hypertrophy. OVX-MIS rats also displayed increased lean mass and lean/fat ratio, suggesting a healthier body composition, similar to the results reported for OVX-E2 animals. MIS consumption decreased the circulating levels of the proinflammatory marker CRP, the total cholesterol-to-HDL-cholesterol ratio and the leptin-to-adiponectin ratio, a biomarker of diabetes risk and metabolic syndrome. RWAT transcriptomics indicated that MIS favourably regulated genes involved in adipocyte structure and morphology, cell fate determination and differentiation, glucose/insulin homeostasis, inflammation, response to stress and oxidative phosphorylation, which may be mechanisms underlying the beneficial effects described for OVX-MIS rats. Our results pave the way for using this MIS formulation to improve the body composition and immunometabolic health of menopausal women.

Measuring the harm of sugar sweetened beverages and internalities associated with it.

Obesity, which is partly driven by the consumption of sugar-sweetened beverages (SSBs), significantly increases the risk of type-2 diabetes and cardiovascular diseases, leading to substantial health and economic burdens. This study aims to quantify the monetary value of health harms caused by SSB consumption, along with the associated internalities, through a contingent valuation survey. The results are crucial for determining the socially optimal tax rate. We surveyed 293 residents of Wellington, New Zealand, to assess their willingness to pay (WTP) for reductions in the risks of diabetes, stroke, and heart disease associated with SSB intake. Logistic regression analysis revealed the marginal WTP for a 1% risk reduction in diabetes, stroke, and heart disease to be NZ$404.86, NZ$809.04, and NZ$1,236.84, respectively. Based on these values, we estimate the marginal harm from SSB consumption to be approximately NZ$17.37 per liter in New Zealand, with internalities amounting to NZ$6.43 per liter, suggesting an optimal tax rate of NZ$6.49 per liter. Implementing such a tax is feasible and would likely double or triple the price of SSBs in New Zealand.

Reduced insulin clearance in paediatric metabolic (dysfunction)-associated fatty liver disease and its dual role in beta-cell offload and diabetes risk.

Diminished hepatic insulin clearance (HIC) is observed in obese adults and is presumed to be mediated by fatty liver. However, few reports have examined HIC in Chinese children with metabolic (dysfunction)-associated fatty liver disease (MAFLD). This study aimed to investigate the correlation between HIC, insulin sensitivity and β-cell function in obese Chinese children with MAFLD. In total, 204 obese children (74 MAFLD) aged 4-17 years were enrolled into this study. HIC, insulin sensitivity and β-cell function were calculated using the oral glucose tolerance test (1.75 g/kg body weight). Correlation analyses between the HIC and clinical variables were performed using Pearson's product-moment correlation coefficients. HIC and glucose homeostasis were assessed in a high-fat diet mouse model, and liver samples were collected for molecular analysis. Obese children with MAFLD exhibited significantly lower HIC (AUCC-peptide/insulin ratio, p = 0.0019), higher insulin resistance (homeostatic model assessment of insulin resistance, p = 0.002), and increased compensatory β-cell function (homeostatic model assessment-β, p = 0.046) than obese children without liver involvement. Notably, HIC was negatively correlated with insulin sensitivity (r = -0.5035, p < 0.0001) and β-cell function (r = -0.4576, p < 0.0001). However, pancreatic β-cell dysfunction (p = 0.046) was accompanied by future reduced HIC (p = 0.034) in children with MAFLD in prediabetes. In a high-fat diet mouse model, MAFLD mice showed a 50% reduction in insulin-degrading enzyme expression, consistent with the observed decrease in HIC. A lower HIC may offload pancreatic β-cells at an early stage. However, obese children with MAFLD are at risk of developing diabetes, and preventive efforts should be prioritized.

Insights into Knowledge and Attitudes About Autoantibody Screening from People Affected by Type1 Diabetes: A Brief Report.

Screening for islet-specific autoantibodies can identify individuals at risk for type1 diabetes (T1D). Despite calls for increased nationwide autoantibody screening efforts, it is unclear how many individuals have participated in screening among people who may benefit from it. Moreover, knowledge and perceptions of autoantibody screening in real-world samples are not well understood. We surveyed a sample of individuals (aged 18+years old) from T1D Exchange Registry with a personal or family history of T1D to assess their self-reported T1D autoantibody knowledge, experiences, and attitudes. Participants belonged to one of three groups: adults with T1D who had a biological child without T1D or future plans for a child (PWD); parents without T1D who had a biological child with T1D and one or more biological children without T1D (Caregivers); and first-degree adult children or siblings to a person with T1D (Relatives). Descriptive analyses (means, standard deviations, frequencies) are presented by participant groups. A total of 510 participants enrolled in the study. Across groups, participants reported feeling a little to somewhat knowledgeable about autoantibody screening and positive perceptions of autoantibody screening in general. However, few participants had screened their child without T1D (PWDs, 21.94%; Caregivers, 46.30%) or themselves (Relatives, 19.23%). Among those who had screened, participants reported generally positive experiences. Among those who had not screened, many participants were "undecided" about autoantibody screening (PWD, 38.46%; Caregivers, 40.52%; Relatives, 44.44%). Influences reported for participants' decisions to screen, not screen, or their current indecision differed by group: PWDs (21.70%) and Caregivers (26.87%) most often reported self-initiated research as an influence and Relatives reported they had not previously considered screening (48.28%). Results highlight the need for more accessible information about screening, including real experiences from those who have screened.

Genetic predisposition to impaired beta-cell function modifies the association between serum pyrethroid levels and the risk of type 2 diabetes: A gene-environment interaction study

Previous studies suggested that pyrethroid exposure was associated with elevated type 2 diabetes (T2D) risk, while it remains uncertain whether genetic predisposition modifies this association. A nested case-control study within the prospective Dongfeng-Tongji cohort comprised 1832 T2D cases, age- (±5 years) and sex-matched controls with qualified genotyping data. Serum pyrethroids were measured by gas chromatography-tandem mass spectrometry. Overall diabetes-related genetic risk score (GRS) or pathway-specific GRS, including unweighted GRSs (uGRS) and weighted GRSs (wGRS), was developed by genetic variants identified in Asian populations. Higher overall diabetes-related GRS and GRS specific to the pathway of impaired beta cell function (Beta-cell GRS) were associated with a higher incident T2D risk. Beta-cell uGRS significantly modified the association of serum permethrin (Pinteraction=0.04) and deltamethrin (Pinteraction=0.01) with T2D. Specifically, for each doubling increase in serum deltamethrin, the odds ratios (ORs) (95 % confidence intervals [CIs]) for T2D were 1.23 (0.98–1.56) and 0.91 (0.77–1.07) in the highest and lowest Beta-cell uGRS group, as well as 1.23 (1.02–1.47) and 0.95 (0.78–1.15) for Beta-cell wGRS group, respectively. When considering jointly, those with the highest deltamethrin levels and highest Beta-cell GRS had a substantially higher T2D risk, compared with the reference group (OR for uGRS: 3.79 [95 % CI: 2.03–7.07], Pinteraction=0.03 and 3.23 [95 % CI: 1.78–5.87], Pinteraction=0.05 for wGRS). Our findings suggested that genetic susceptibility to impaired beta-cell function should be considered for T2D prevention targeting pyrethroid exposure, particularly deltamethrin.

Shift Work and Associated Health Consequences: A Review

This literature review aims to examine the complex relationship between engaging in shift work and its subsequent health sequelae, while also shedding light on fields of research that require further investigation. Indexing services (i.e., Scopus and PubMed) were used to identify pertinent studies, prioritizing original research, review articles, and meta-analyses from 2018 to 2023. Papers not published in English or where full-text translation was not available, research conducted solely on non-human populations, as well as proposal and opinion papers, were excluded. Papers published before 2018 and those with a sample size of 50 participants or fewer were also omitted. The author conducted a thorough evaluation of each study to ensure its relevance and significance. After deduplication of the search results and implementation of the exclusion criteria, 51 papers were shortlisted for this review. The keywords used for the literature search were “shift work”, “health”, “night shift”, “cardiovascular”, “circadian, cancer”, “disease”, “dose-response relationship”, and “long working hours”. The results showed that shift work significantly impacts various aspects of health, presenting risks in the areas of cardiovascular health, cancer susceptibility, circadian rhythm, immunity, metabolism, reproductive health, and mental well-being. Shift workers have increased risks for diabetes, hypertension, adverse cardiac events, circadian dysrhythmia, metabolic syndrome, mental health disorders, and even certain types of cancer. Shift work exhibits significant associations with sexual and reproductive dysfunction in both sexes, including elevated risks for miscarriages and preterm birth. In conclusion, the findings underscore the need for comprehensive health interventions and further research to understand the intricate relationships between shift work and long-term health consequences. Highlights: Disruption of circadian rhythm due to shift work contributes to various health issues, including altered melatonin levels, immune dysfunction, and metabolic disturbances. There is a critical need for longitudinal studies to explore interventions and workplace policies that can mitigate the adverse health effects of shift work. Addressing the multifaceted impact of shift work on health requires a holistic approach that considers factors like circadian rhythm optimization, workplace support, and tailored interventions.

Association between the oxidative balance score and all-cause and cardiovascular mortality in patients with diabetes and prediabetes

BackgroundFew studies have examined the link between systemic oxidative stress and mortality risk in diabetes and prediabetes patients. The Oxidative Balance Score (OBS) is a novel measure of systemic oxidative stress, with higher scores indicating greater antioxidant exposure. This study investigates the relationship between OBS and all-cause and cardiovascular mortality in these patients. MethodsThis study analyzed 10,591 diabetes and prediabetes patients from the 1999–2018 National Health and Nutrition Examination Survey (NHANES). The endpoints were all-cause and cardiovascular mortality, determined from the National Death Index (NDI). OBS was calculated using 20 dietary and lifestyle factors. Kaplan-Meier survival analysis, multivariable Cox regression models, restricted cubic splines (RCS), and subgroup analyses were used to assess the relationship between OBS and mortality risks. ResultsOver an average follow-up of 99.8 months, 2900 (26.4 %) participants died, including 765 (8.9 %) from cardiovascular diseases. Kaplan-Meier analysis showed the lowest all-cause and cardiovascular mortality in the highest OBS quartile (Q4) and the highest mortality in the lowest quartile (Q1) (p < 0.001). In the fully adjusted model, multivariable Cox regression revealed that each unit increase in OBS was linked to a 1.8 % decrease in all-cause mortality risk (HR 0.982, 95 % CI 0.976–0.987, p < 0.0001) and a 4 % decrease in cardiovascular mortality risk (HR 0.960, 95 % CI 0.949–0.970, p < 0.0001). Compared to Q1, those in Q4 had significantly lower all-cause mortality (HR 0.719, 95 % CI 0.643–0.804, p < 0.0001, p for trend <0.0001) and cardiovascular mortality (HR 0.567, 95 % CI 0.455–0.705, p < 0.0001, p for trend <0.0001). These findings were consistent across subgroups. RCS curves showed a negative correlation between OBS and both mortality types. ConclusionHigher OBS is linked to reduced all-cause and cardiovascular mortality in diabetes and prediabetes patients.

Incidence of liver complications with hemochromatosis associated HFE p.C282Y homozygosity: The role of central adiposity.

The HFE p.C282Y+/+ (homozygous) genotype and central adiposity both increase liver disease and diabetes risks, but combined effects are unclear. We estimated waist-to-hip ratio (WHR) associations with incident clinical outcomes in routine care in p.C282Y+/+ participants in the UK Biobank community cohort. Baseline WHR in 1,297 male and 1,602 female p.C282Y+/+ with 13.3-year mean follow-up for diagnoses. Spline regressions and Cox proportional hazard models were adjusted for age and genetic principal components. Cumulative incidence was from age 40 to 80 years. In p.C282Y+/+ males, there were positive linear WHR relationships for hospital inpatient diagnosed liver fibrosis/cirrhosis (p=2.4*10-5), liver cancer (p=0.007), non-alcoholic fatty liver disease (NAFLD) (p=7.7*10-11), and type 2 diabetes (T2D) (p=5.1*10-16). The Hazard Ratio (HR) for high WHR in p.C282Y+/+ males (≥0.96; 33.9%) was HR=4.13 for liver fibrosis/cirrhosis (95%CI: 2.04-8.39, p=8.4*10-5 vs. normal WHR); cumulative age 80 incidence 15.0% (95%CI: 9.8%-22.6%) versus 3.9% (95%CI: 1.9%-7.6%); for liver cancer, cumulative incidence was 9.2% (95%CI: 5.7%-14.6%) versus 3.6% (95%CI: 1.9%-6.6%). Hemochromatosis was diagnosed in 23 (96%) of the 24 high WHR p.C282Y+/+ males with incident fibrosis/cirrhosis. High WHR (≥0.85; 30.0%) p.C282Y+/+ females had raised hazards for liver fibrosis/cirrhosis (HR=9.17, 95%CI: 2.51-33.50, p=3.8*10-7) and NAFLD (HR=5.17, 95%CI: 2.48-10.78, p=1.2*10-5). Fibrosis/cirrhosis associations were similar in the subset with additional primary care diagnoses. In p.C282Y+/+ males and females, increasing WHR is associated with substantially higher risks of liver complications. Interventions to reduce central adiposity to improve these outcomes should be tested.

Prevalence of Type 2 Diabetes Risk in a Higher Education Community of North-Eastern Portugal: a Prospective Cross-sectional Observational Analysis

Objectives: Type 2 diabetes (T2D) is considered one of the most prevalent diseases worldwide. The aim of this study was to analyse the risk of developing T2D in a higher education community of Bragança, North-Eastern Portugal.Methods: The observational, cross-sectional and prospective sample comprised 3021 individuals, aged between 18 and 64 years old, of whom 1759 were women (mean age 24.16 ± 8.80 years) and 1263 were men (mean age 23.37 ± 8.70 years). The Finnish Diabetes Risk Score (FINDRISC) questionnaire was employed to estimate the risk of developing T2D over the next 10 years.Results: The results indicated that approximately 37 (1%) participants in the sample exhibited a high risk of developing T2D, 117 (4%) participants exhibited a moderate risk, 660 (22%) participants exhibited a slight risk, and 2206 (73%) participants exhibited a low risk. A higher T2D risk was observed in the staff group in comparison with the other groups (p &lt; 0.001). Furthermore, body mass index (BMI) and waist circumference (WC) were the variables that most contributed to the increased risk of developing T2D (X2 = 1034.5; p &lt; 0.001).Conclusions: In conclusion, the study reported a low T2D risk for the higher education community of Bragança in the Portuguese North-Eastern region. However, the risk of T2D was found to be higher in the staff group than in the student group. The FINDRISK questionnaire may be applied for the early diagnosis of T2D risk factors.