Discovery and validation of plasma, saliva and multi-fluid plasma-saliva metabolomic scores predicting insulin resistance and diabetes progression or regression among Puerto Rican adults.

AIMS/HYPOTHESIS: Many studies have examined the relationship between plasma metabolites and type 2 diabetes progression, but few have explored saliva and multi-fluid metabolites. METHODS: We used LC/MS to measure plasma (n=1051) and saliva (n=635) metabolites among Puerto Rican adults from the San Juan Overweight Adults Longitudinal Study. We used elastic net regression to identify plasma, saliva and multi-fluid plasma-saliva metabolomic scores predicting baseline HOMA-IR in a training set (n=509) and validated these scores in a testing set (n=340). We used multivariable Cox proportional hazards models to estimate HRs for the association of baseline metabolomic scores predicting insulin resistance with incident type 2 diabetes (n=54) and prediabetes (characterised by impaired glucose tolerance, impaired fasting glucose and/or high HbA1c) (n=130) at 3 years, along with regression from prediabetes to normoglycaemia (n=122), adjusting for traditional diabetes-related risk factors. RESULTS: Plasma, saliva and multi-fluid plasma-saliva metabolomic scores predicting insulin resistance included highly weighted metabolites from fructose, tyrosine, lipid and amino acid metabolism. Each SD increase in the plasma (HR 1.99 [95% CI 1.18, 3.38]; p=0.01) and multi-fluid (1.80 [1.06, 3.07]; p=0.03) metabolomic scores was associated with higher risk of type 2 diabetes. The saliva metabolomic score was associated with incident prediabetes (1.48 [1.17, 1.86]; p=0.001). All three metabolomic scores were significantly associated with lower likelihood of regressing from prediabetes to normoglycaemia in models adjusting for adiposity (HRs 0.72 for plasma, 0.78 for saliva and 0.72 for multi-fluid), but associations were attenuated when adjusting for lipid and glycaemic measures. CONCLUSIONS/INTERPRETATION: The plasma metabolomic score predicting insulin resistance was more strongly associated with incident type 2 diabetes than the saliva metabolomic score. Only the saliva metabolomic score was associated with incident prediabetes.

Hurricanes Irma and Maria and Diabetes incidence in Puerto Rico.

OBJECTIVE: To evaluate the impact of Hurricanes Irma/Maria on diabetes incidence in Puerto Rico. Mortality increased substantially after the hurricanes, but morbidity was not assessed. METHODS: We recruited 364 participants from the San Juan Overweight Adults Longitudinal Study (SOALS) aged 40-65 years who completed a three-year follow-up and were free of diabetes. We conducted additional questionnaires 1.7-2.5 years after hurricanes. Glycosylated hemoglobin (HbA1c), fasting glucose and insulin were assessed at all three visits. We compared diabetes incidence between pre-hurricane visits and between visits spanning the hurricanes using Generalized Estimating Equation (GEE) adjusting for within person repeated measures, age, and body mass index (BMI). RESULTS: Diabetes incidence was significantly higher spanning the hurricanes than pre-hurricane (multivariate GEE model: IRR = 2.1; 95% CI: 1.4-3.1). There was a significantly higher increase spanning the hurricanes compared to pre-hurricanes for Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (median: 0.3 uIU/mL vs. 0.2 uIU/mL). HbA1c levels increased by 0.4% spanning the hurricanes. CONCLUSION: Increases in diabetes incidence, HOMA-IR and HbA1c were higher spanning the hurricanes compared to the pre-hurricanes period. The increase in diabetes incidence remains significant after adjusting for age and BMI.

Impact of Hurricanes Irma and Maria on Asthma, Hypertension, and Depression in a Sample of the Puerto Rico Population.

OBJECTIVE: To evaluate the impact of Hurricanes Irma and Maria on 3 major chronic diseases in Puerto Rico. METHODS: San Juan Overweight Adults Longitudinal study participants were re-evaluated after Hurricanes Irma and Maria (May 2019-July 2020) for the Preparedness to Reduce Exposures and Diseases Post-hurricanes and Augment Resilience study. This study compared the prevalence and incidence of asthma, depression, and hypertension within the same 364 individuals over time. RESULTS: Asthma and depression prevalence and incidence did not change significantly after the hurricanes. The prevalence of hypertension increased significantly after the hurricanes (OR = 2.2, 95% CI: 1.2, 3.9). The incidence of hypertension after the hurricanes (IR = 9.0, 95% CI: 6.5, 12.4) increased significantly compared to before the hurricanes (IR = 6.1, 95% CI: 4.5, 8.0) (age-adjusted incidence rate ratio [aIRR] = 1.4, 95% CI: 4.5, 8.0) for similar time periods. CONCLUSION: Hurricanes Irma and Maria were associated with a significant increase in the prevalence and incidence of hypertension in this study population. Contrary to expectations, no significant increases were observed in depression and asthma prevalence after the hurricanes. Results from this study can inform better strategies to prevent and manage hypertension in the population affected by a hurricane.

The impact of the Covid-19 pandemic and previous natural disasters on the mental health of healthcare workers in Puerto Rico.

The objective of this study was to assess the impact of COVID-19 pandemic worries (e.g., fear of contagion) and previous exposure to natural disasters (e.g., hurricanes) on Healthcare Workers (HCWs) mental health in Puerto Rico. Participants completed a self-administered online survey including items on sociodemographic information, working conditions, fears, and worries about the COVID-19 pandemic, past natural disaster experiences, depressive symptoms, and resilience. Logistic regressions models were performed to explain the relationship between depressive symptomatology and COVID-19 experiences and worries. 40.9% (n = 107) of the sample were classified as having some level (mild to severe) of depressive symptomatology (PHQ-8 ≥5). Results reflect normal to high levels of psychological resilience (BRS; M = 3.7, SD = 0.7). A significant association was found between depressive symptomatology and psychological resilience (OR = 0.44, 95% CI: 0.25-0.77). The odds of having depressive symptomatology were almost five times higher (OR = 4.79, 95% CI: 1.71-13.44) among those who reported emotional coping difficulties during the pandemic after experiencing a natural disaster compared to those that did not, when adjusting for psychological resilience and residence region. Despite normal to high psychological resilience levels, HCWs who reported emotional coping difficulties due to previous disasters were at risk of developing depressive symptomatology. Results suggest interventions to address the mental health of HCWs could benefit from considering other individual and environmental factors beyond resilience. Findings could inform future interventions to promote HCWs' well-being before, during, and after a natural disaster or pandemic outbreak.

Estimating COVID-19 cases in Puerto Rico using an automated surveillance system.

Due to concerns regarding limited testing and accuracy of estimation of COVID-19 cases, we created an automated surveillance system called "Puerto Rico Epidemiological Evaluation and Prevention of COVID-19 and Influenza" (PREPCOVI) to evaluate COVID-19 incidence and time trends across Puerto Rico. Automated text message invitations were sent to random phone numbers with Puerto Rican area codes. In addition to reported COVID-19 test results, we used a published model to classify cases from specific symptoms (loss of smell and taste, severe persistent cough, severe fatigue, and skipped meals). Between 18 November 2020, and 24 June 2021, we sent 1,427,241 messages, 26.8% were reached, and 6,975 participants answered questions about the last 30 days. Participants were aged 21-93 years and represented 97.4% of the municipalities. PREPCOVI total COVID-19 cases were higher among women and people aged between 21 and 40 years and in the Arecibo and Bayamón regions. COVID-19 was confirmed, and probable cases decreased over the study period. Confirmed COVID-19 cases ranged from 1.6 to 0.2% monthly, although testing rates only ranged from 30 to 42%. Test positivity decreased from 13.2% in November to 6.4% in March, increased in April (11.1%), and decreased in June (1.5%). PREPCOVI total cases (6.5%) were higher than cases reported by the Puerto Rico Department of Health (5.3%) for similar time periods, but time trends were similar. Automated surveillance systems and symptom-based models are useful in estimating COVID-19 cases and time trends, especially when testing is limited.