Background: Obesity is a major public health problem associated with significant medical complications. Main body: This review examines 8 primary diseases: type 2 diabetes, hypertension, dementia, non-alcoholic fatty liver disease, polycystic ovarian syndrome, dyslipidemia, cancer, and their manifestations in obese patients. A total of 39 articles were used for this review. The authors conducted limited review, searching PubMed and Google Scholar databases using a combination of key words “COVID-19” or “SARS-COV2”, “type 2 diabetes”, “hypertension”, “dementia”, “non-alcoholic fatty liver disease”, “polycystic ovarian syndrome”, “dyslipidemia”, “cancer”, and “obesity”. No specific date limitation was used. Obesity exacerbates many medical conditions and has recently been identified as an independent risk factor for COVID-19 severity. This sets obesity at the pinnacle of all disease complications. The long-term impact of obesity ranges from financial burden on the health system, lower life expectancy, and reduced survival rates. Conclusion: Obesity is an important modifiable risk factor. There is the need for healthcare providers to understand the medical complications associated with obesity to optimize patient care.

To evaluate the challenges encountered when using technology-based recruitment and electronic consenting to conduct social needs assessment of patients presenting with COVID-19-like illness at an urban academic emergency department. COVID-19 Testing Registry (CTR) was established in the emergency department of UI Health in Chicago, Illinois. An online survey platform REDCap (Research Electronic Data Capture) was used, through which a standardized text message was sent to the mobile devices of eligible patients who tested positive for COVID-19. Patients were first provided with information on social services (e.g., health, food, transportation, housing). After e-consent, they were then asked to complete a social and health needs assessment on the first day and 14th day after COVID-19 testing. Out of 153 patients invited to participate in the survey, 32 (21%) opened the link and accessed the survey, 13 (8%) accessed the information on resources, 22 (14%) replied to the question on interest in research participation, while 17 (11%) expressed interest in learning about CTR. Ultimately, only 6 (4%) consented and only 1 (0.6%) eventually completed both surveys. The mean age for the total invited pool was 39 (±16), while mean age for those who consented was 37 (±11). In our urban, mostly minority population, technology-based recruitment and electronic consent proved to be significantly low yield. In the future, CTR aims to further analyze predictors of lower patient engagement and widening disparity when using digital tools. Further data collection will be conducted using phone-call based procedures in patients who contracted COVID-19 in the first 6 months of the pandemic.

Objectives The COVID-19 pandemic has required significant modifications of hospital care. The objective of this study was to examine the operational approaches taken by US hospitals over time in response to the COVID-19 pandemic. Design, setting and participants This was a prospective observational study of 17 geographically diverse US hospitals from February 2020 to February 2021. Outcomes and analysis We identified 42 potential pandemic-related strategies and obtained week-to-week data about their use. We calculated descriptive statistics for use of each strategy and plotted percent uptake and weeks used. We assessed the relationship between strategy use and hospital type, geographic region and phase of the pandemic using generalised estimating equations (GEEs), adjusting for weekly county case counts. Results We found heterogeneity in strategy uptake over time, some of which was associated with geographic region and phase of pandemic. We identified a body of strategies that were both commonly used and sustained over time, for example, limiting staff in COVID-19 rooms and increasing telehealth capacity, as well as those that were rarely used and/or not sustained, for example, increasing hospital bed capacity. Conclusions Hospital strategies during the COVID-19 pandemic varied in resource intensity, uptake and duration of use. Such information may be valuable to health systems during the ongoing pandemic and future ones.

Objective: To quantify PUFA-associated improvement in linear growth among children aged 6–10 years.Design: Serum fatty acids (FA), including essential FA (EFA) (linoleic acid (LA) and α-linolenic acid (ALA)) were quantified at baseline using GC-MS technology. FA totals by class (n-3, n-6, n-9, PUFA and SFA) and FA ratios were calculated. Height-for-age Z-score (HAZ) relative to WHO population reference values were calculated longitudinally at baseline, 6 and 12 months. Linear regression models estimated PUFA, HIV status and their interaction-associated standardised mean difference (SMD) and 95 % CI in HAZ over 12 months.Setting: Community controls and children connected to community health centre in Kampala, Uganda, were enrolled.Participants: Children perinatally HIV-infected (CPHIV, n 82), or HIV-exposed but uninfected (CHEU, n 76) and community controls (n 78).Results: Relative to highest FA levels, low SFA (SMD = 0·31, 95 % CI: 0·03, 0·60), low Mead acid (SMD = 0·38, 95 % CI: 0·02, 0·74), low total n-9 (SMD = 0·44, 95 % CI: 0·08, 0·80) and low triene-to-tetraene ratio (SMD = 0·42, 95 % CI: 0·07, 0·77) predicted superior growth over 12 months. Conversely, low LA (SMD = -0·47, 95 % CI: −0·82, −0·12) and low total PUFA (sum of total n-3, total n-6 and Mead acid) (SMD = -0·33 to −0·39, 95 % CI: −0·71, −0·01) predicted growth deficit over 12 months follow-up, regardless of HIV status.Conclusion: Low n-3 FA (ALA, EPA and n-3 index) predicted growth deficits among community controls. EFA sufficiency may improve stature in school-aged children regardless of HIV status. Evaluating efficacy of diets low in total SFA, sufficient in EFA and enriched in n-3 FA for improving child growth is warranted.

Objective: To determine the associations among iron status, depressive/anxiety symptoms, and quality of life (QoL) throughout pregnancy. Design: This longitudinal study recruited participants in their 1^st trimester (< 13 weeks; n=116) and followed in their 2^nd (n=71) and 3^rd (n=71) trimesters. Sociodemographic, food security, anxiety, depressive symptoms, and QoL questions were collected. Hemoglobin (Hb), ferritin (Ft), and transferrin saturation (TSAT) were determined. Women were categorized as iron improvers or non-improvers based on changes in iron status. Associations were assessed using difference-in-difference analyses. Setting: Cape Coast, Ghana between October 2017 to September 2018. Participants: Pregnant women, 18-38 years. Results: Improvement in Ft levels from the 1^st to 2^nd trimester were associated with reduced depressive symptoms (-2.96 vs -0.58, p=0.028), and higher overall QoL (13.99 vs 1.92, p=0.006) particularly role physical (23.32 vs -2.55, p=0.025) and role emotional (27.50 vs 10.06, p=0.025) subscales. Improvement in Hb levels during the same period were linked to less anxiety, particularly fear factor (-2.62 vs -0.51, p=0.020); and worsened physical health aspect of QoL (-21.80 vs -3.75, p=0.005). Improvement in TSAT levels from 2^nd to 3^rd trimester were associated with increased total anxiety (1.56 vs -0.64, p=0.030) and panic factor (0.45 vs -0.26, p=0.004) and decreased total QoL (-1.08 vs 7.94, p=0.017), specifically role physical (-10.98 vs 11.93, p=0.018). Conclusion: Increases in iron status from first to second trimester were related to improvements in psychosocial wellbeing, implying potential benefit of iron supplementation on affect in early pregnancy. Larger studies are needed to confirm these findings.

Screening for diabetes in non-traditional settings like emergency departments (ED) can enhance early detection among patients at higher risk for diabetes. This study aims to assess the reach of an ED-based screening program by examining the characteristics of patients screen-detected for diabetes or prediabetes. Retrospective cross-sectional study. Sociodemographic characteristics (age, gender, race and ethnicity, insurance, zip code) of patients who were screened for diabetes using hemoglobin A1c test (A1c) were examined. The distribution of prediabetes and diabetes within each race/ethnicity, age, and gender groups were determined. ArcGIS Pro 2.9.0 was used to geocode patient zip codes, to generate heat maps of high occurrences of prediabetes and diabetes. Of the 5997 individuals screened in the ED, 49 % were non-Hispanic Black, 27 % Hispanic, 15 % non-Hispanic White, 5 % non-Hispanic Asian, and 4 % non-Hispanic Other/unknown. Almost half (47 %, n = 2808) had elevated A1c levels indicative of prediabetes (n = 2070; A1c: 5.7-6.4 %) or diabetes (n = 738; A1c: ≥6.5 %). Non-Hispanic Black females had a higher prevalence of both prediabetes (54 %) and diabetes (55 %) diagnoses as compared to other race/ethnic or gender categories; whereas non-Hispanic Asians had a lower prevalence of both prediabetes and diabetes except for those ≥65 years or older. Furthermore, most patients screened for prediabetes and diabetes reside in resource poor neighborhoods on the west and south sides of Chicago. The burden of prediabetes and diabetes were greater among non-Hispanic Black females, with a high prevalence of prediabetes observed among younger individuals, particularly those residing in resource poor neighborhoods in the west and south sides of Chicago. More investment in resources for diabetes prevention and management for these groups may be warranted.