Centers For Disease Control Research Articles

Recent mortality rates due to complications of medical and surgical care in the US.

Medical errors and complications pose a major threat to the safety of healthcare systems worldwide. This article was hence aimed at determining the current burden of complications of medical and surgical care in the US. We searched the latest version of the US Centers for Disease Control and Prevention (CDC) WONDER online database (years 2018-2022) using ICD-10 codes Y40-Y84 (complications of medical and surgical care). The age-adjusted death rate for complications of medical and surgical care increased from 1.17 × 100,000 in 2018 to 1.49 × 100,000 in 2021, but then declined to 0.85 × 100,000 in 2022. The gender-specific analysis showed a similar trend, with the age-adjusted death rate values always being higher in men than in women. A clear age-dependent relationship was also found in the crude mortality rate for complications of medical and surgical care, as higher death rates were observed in older patients. This analysis reveals that the burden of complications of medical and surgical care has increased over time, especially during the COVID-19 pandemic, but has then considerably declined in 2022. However, root cause analysis and actions are still needed for preventing the still noticeable consequences of medical complications.

Social Vulnerability and Receipt of Neoadjuvant Chemotherapy in Patients Undergoing Radical Cystectomy for Bladder Cancer.

To evaluate the association between a population-level measure of social determinants of health, the Centers for Disease Control and Prevention Social Vulnerability Index (SVI), and receipt of neoadjuvant chemotherapy in patients with muscle-invasive bladder cancer (MIBC) undergoing radical cystectomy. We queried our institutional database for patients with nonmetastatic MIBC treated with radical cystectomy between 2000 and 2022. Patients were assigned an SVI via ZIP code of residence and grouped into quintiles of SVI (i.e. least vulnerable to most vulnerable). Multivariable logistic regression was performed to evaluate the association between SVI and receipt of neoadjuvant chemotherapy, adjusting for age, race, gender, and cancer stage. A sub-analysis was performed to evaluate the association between subthemes of SVI (socioeconomic status, household composition/disability, race/ethnicity/language, and housing/transportation) and receipt of neoadjuvant chemotherapy. Of the 978 patients identified, 490 (50.1%) received neoadjuvant chemotherapy. Patients that received neoadjuvant chemotherapy had a lower SVI, were younger, and had >cT2 stage (all, p<0.05). The most vulnerable patients had lower odds of receiving neoadjuvant chemotherapy (OR 0.61, 0.39 - 0.95) compared to the least vulnerable patients. Analysis of subthemes of SVI demonstrated similar associations by socioeconomic status (OR 0.56, 0.36 - 0.86) and household composition/disability (OR 0.57, 0.33 - 0.99). Adverse social determinants of health, or social vulnerability, is associated with suboptimal and disparate utilization of neoadjuvant chemotherapy in patients with MIBC undergoing radical cystectomy. Strategies for identifying vulnerable populations may allow for more targeted interventions that would improve equity in bladder cancer care.

Encrypted data-sharing for preserving privacy in wastewater-based epidemiology.

The rapidly expanding use of wastewater for public health surveillance requires new strategies to protect privacy rights, while data are collected at increasingly discrete geospatial scales, i.e., city, neighborhood, campus, and building-level. Data collected at high geospatial resolution can inform on labile, short-lived biomarkers, thereby making wastewater-derived data both more actionable and more likely to cause privacy concerns and stigmatization of subpopulations. Additionally, data sharing restrictions among neighboring cities and communities can complicate efforts to balance public health protections with citizens' privacy. Here, we have created an encrypted framework that facilitates the sharing of sensitive population health data among entities that lack trust for one another (e.g., between adjacent municipalities with different governance of health monitoring and data sharing). We demonstrate the utility of this approach with two real-world cases. Our results show the feasibility of sharing encrypted data between two municipalities and a laboratory, while performing secure private computations for wastewater-based epidemiology (WBE) with high precision, fast speeds, and low data costs. This framework is amenable to other computations used by WBE researchers including population normalized mass loads, fecal indicator normalizations, and quality control measures. The Centers for Disease Control and Prevention's National Wastewater Surveillance System shows ~8 % of the records attributed to collection before the wastewater treatment plant, illustrating an opportunity to further expand currently limited community-level sampling and public health surveillance through security and responsible data-sharing as outlined here.

Doff Thy Gown - Shedding Contact Precautions for COVID-19.

SARS-CoV-2 is predominantly transmitted through aerosols (i.e., airborne transmission), however, the US Centers for Disease Control and Prevention continue to recommend the use of contact precautions (a gown and gloves) for the care of patients with COVID-19. Infection prevention guidelines should reflect the current science and eliminate this wasteful practice.

A study on clinico-demographic and microbiological profile of surgical site infection (SSI) in a tertiary care hospital, Kolkata: An alarming trend

The Centres for Disease Control and Prevention (CDC) estimates surgical site infections SSI is major contributor of healthcare associated infections (HAI). Multidrug resistant (MDR) Gram-negative bacilli are emerging pathogens. This study aimed to determine the magnitude of SSI and identify predominant pathogens with their antimicrobial susceptibility patterns. It is a hospital-based descriptive cross-sectional study including 2070 suspected SSI specimens from 25809 surgeries between 1July 2021 to 30 June 2023. Organisms’ identification and AST was done by both conventional and automated methods. Data was collected and analysed on MS-Excel sheet with various charts and tables. In our study SSI rate was 6.3%, much higher than previous study (2.83%) from this institution. SSI rate was highest in plastic surgery (8.2%). Major pathogens of SSI were Gram-negative bacilli e.g., (26.34%), (25.59%) and (74.69%) was predominant among Gram-positive cocci. Gram-negative bacilli including enterobacterales and non-fermenter and showed resistance to major classes of broad- spectrum antibiotics. Methicillin resistance (MRSA) was 43.9%, which indicates need to improve infection control practices. Our study showed significant higher proportion of SSI as compared to previous studies from the same institute with alarming number of isolated MDR Gram-negative bacilli. So, this study focusses the need of robust infection control practices and strict implementation of antimicrobial stewardship to overcome challenges of antimicrobial resistance.

Lead Speciation, Bioaccessibility, and Sources for a Contaminated Subset of House Dust and Soils Collected from Similar United States Residences.

Residential lead (Pb) exposure is of critical concern to families globally as Pb promotes severe neurological effects in children, especially those less than 5 years old, and no blood lead level is deemed safe by the US Center for Disease Control. House dust and soils are commonly thought to be important sources of Pb exposure. Probing the relationship between house dust and soil Pb is critical to understanding residential exposure, as Pb bioavailability is highly influenced by Pb sources and/or species. We investigated paired house dust and soil collected from homes built before 1978 to determine Pb speciation, source, and bioaccessibility with the primary goal of assessing chemical factors driving Pb exposure in residential media. House dust was predominately found to contain (hydro)cerussite (i.e., Pb (hydroxy)carbonate) phases commonly used in Pb-based paint that, in-turn, promoted elevated bioaccessibility (>60%). Pb X-ray absorption spectroscopy, μ-XRF mapping, and Pb isotope ratio analysis for house dust and soils support house dust Pb as chemically unique compared to exterior soils, although paint Pb is expected to be a major source for both. Soil pedogenesis and increased protection from environmental conditions (e.g., weathering) in households is expected to greatly impact Pb phase differences between house dust and soils, subsequently dictating differences in Pb exposure.

Increasing disparities in obesity and severe obesity prevalence among public elementary and middle school students in New York City, school years 2011-12 through 2019-20.

Recent national trends in the United States indicate a significant increase in childhood obesity, a major public health concern with documented physical and mental comorbidities and sociodemographic disparities. We aimed to estimate the prevalence of obesity and severe obesity among youth in New York City (NYC) before the COVID-19 pandemic and examine time trends overall and by key characteristics. We included all valid height and weight measurements of kindergarten through 8th grade public school students aged 5 to 15 from school years 2011-12 through 2019-20 (N = 1,370,890 unique students; 5,254,058 observations). Obesity and severe obesity were determined using age- and sex-specific body mass index percentiles based on the Centers for Disease Control and Prevention growth charts. Analyses were performed using multivariate logistic regression models with repeated cross-sectional observations weighted to represent the student population for each year and clustered by student and school. Among youth attending public elementary and middle schools in NYC, we estimate that 20.9% and 6.4% had obesity and severe obesity, respectively, in 2019-20. While consistent declines in prevalence were observed overall from 2011-12 to 2019-20 (2.8% relative decrease in obesity and 0.2% in severe obesity, p<0.001), increasing trends were observed among Black, Hispanic, and foreign-born students, suggesting widening disparities. Extending previous work reporting prevalence estimates in this population, nearly all groups experienced significant increases in obesity and severe obesity from 2016-17 to 2019-20 (relative change = 3.5% and 6.7%, respectively, overall; p<0.001). Yet, some of the largest increases in obesity were observed among those already bearing the greatest burden, such as Black and Hispanic students and youth living in poverty. These findings highlight the need for greater implementation of equity-centered obesity prevention efforts. Future research should consider the influence of the COVID-19 pandemic and changes in clinical guidance on childhood obesity and severe obesity in NYC.

Cascade genetic testing: an underutilized pathway to equitable cancer care?

The Precision Medicine Initiative was launched upon the potential of genomic information to tailor medical care. Cascade genetic testing represents a powerful application of precision medicine and involves the process of familial diffusion or the "cascade" of genomic risk information. When an individual (proband) is found to carry a cancer-associated germline pathogenic mutation, the information should be cascaded or shared with at-risk relatives. First degree relatives have a 50% likelihood of carrying the same cancer-associated mutation. This process of cascade testing offers at-risk relatives the opportunity for genetic testing and, for those who also carry the cancer-associated mutation, genetically targeted primary disease prevention through intensive cancer surveillance, chemoprevention and risk-reducing surgery, reducing morbidity and preventing mortality. Cascade testing has been designated by the Centers for Disease Control and Prevention as a Tier 1 genomic application for hereditary breast and ovarian cancer. In this manuscript we describe a cascade genetic testing and in particular focus on its potential to provide necessary care to medically underserved and vulnerable populations.

Combination therapy is it in the future for successfully treating peripheral diabetic neuropathy?

In 2022, the Center for Disease Control and Prevention reported that 11.3% of the United States population, 37.3 million people, had diabetes and 38% of the population had prediabetes. A large American study conducted in 2021 and supported by many other studies, concluded that about 47% of diabetes patients have peripheral neuropathy and that diabetic neuropathy was present in 7.5% of patients at the time of diabetes diagnosis. In subjects deemed to be pre-diabetes and impaired glucose tolerance there was a wide range of prevalence estimates (interquartile range (IQR): 6%-34%), but most studies (72%) reported a prevalence of peripheral neuropathy ≥10%. There is no recognized treatment for diabetic peripheral neuropathy (DPN) other than good blood glucose control. Good glycemic control slows progression of DPN in patients with type 1 diabetes but for patients with type 2 diabetes it is less effective. With obesity and type 2 diabetes at epidemic levels the need of a treatment for DPN could not be more important. In this article I will first present background information on the “primary” mechanisms shown from pre-clinical studies to contribute to DPN and then discuss mono- and combination therapies that have demonstrated efficacy in animal studies and may have success when translated to human subjects. I like to compare the challenge of finding an effective treatment for DPN to the ongoing work being done to treat hypertension. Combination therapy is the recognized approach used to normalize blood pressure often requiring two, three or more drugs in addition to lifestyle modification to achieve the desired outcome. Hypertension, like DPN, is a progressive disease caused by multiple mechanisms. Therefore, it seems likely as well as logical that combination therapy combined with lifestyle adjustments will be required to successfully treat DPN.

The prevalence of hospital acquired infection and associated factors among patients admitted at Wolaita Sodo University Comprehensive Specialized Hospital, in Ethiopia

Hospital-acquired infection is an infection acquired a major global concern of well-being, affecting the quality of care in the healthcare setting. Routine surveillance of infection is an important part of infection prevention and quality assurance in hospitals. to determine the prevalence and associated factors of hospital-acquired infection among inpatients, in Wolaita Sodo University Comprehensive Specialized Hospital.Across-sectional study was conducted among inpatients in Wolaita Sodo University Comprehensive Specialized Hospital. All eligible inpatients admitted at least more three days of the survey were included. The study was conducted from April 1 to July 30/2023. Environmental health professionals and nurses collected the data according to the Centers for Disease Control through observational assessments documented by physicians. Univariate and multivariable logistic regression analyses were used to determine the prevalence of hospital-acquired infections and the associations between independent and dependent variables. A total of 413 patients were included in this study, the median age of the participants was 26 years. A total of 352 (85.2%) patients were diagnosed with non-fatal disease during the survey. 49 patients had hospital-acquired infections developed, with a mean prevalence of 11.9 %. Coagulate-negative staphylococcus 27.27%), and E. coli (27.27) were the most frequently reported hospital-acquired infection-causing pathogens from the result of the study. The factors of patient admission diagnosis, length of hospital stay (more than five days of hospital stay), and absence of running tap water in the patient’s room with the occurrence of hospital-acquired infection were statistically significant.Surgical site infections and bloodstream infections were the most common types of hospital-acquired infections. Then, Hospital management and healthcare workers should give more attention to the practice of infection prevention to achieve a reduced prevalence of hospital-acquired infections in the study setting.

SEIR Model on the Review Impact of Social Distancing for COVID-19 Transmission Dynamics

The COVID-19 pandemic has had a huge influence on world health, with many countries enacting lockdowns and social distancing measures to help reduce transmission. However, the efficiency of these efforts is questionable, particularly in locations like as North East Nigeria, where specific socioeconomic and demographic characteristics can alter virus transmission dynamics. In this paper, we assess the pandemic in North East Nigeria by modifying the SIR to SEIR compartmental model, which incorporates data from the National Centre for Disease Control. We exposed that social distancing techniques like face masks, hand washing, and avoiding big gatherings are more successful than lockdowns in slowing the spread of COVID-19 in the region. Our findings suggest that future pandemic response plans should concentrate on social distancing measures that are both effective and feasible while avoiding the economic and social disruptions caused by lockdowns. Our work emphasizes the significance of specialized approaches to pandemic control in varied situations, including North East Nigeria.

Typing of Treponema pallidum in a Brazilian sample and follow-up of treatment using molecular assays.

Syphilis remains a significant public health concern, with serological assays being the primary method for diagnosis. However, molecular techniques have proven to be reliable tools for the diagnosis and understanding of the transmission dynamics of Treponema pallidum infection. This study aimed to evaluate the efficacy of syphilis treatment using molecular assays, perform Enhanced Centers for Disease Control and Prevention (ECDC) typing, and analyze resistance (macrolide and doxycycline) in the T. pallidum isolate. PCR assay amplified treponemal DNA only from the lesion sample, whereas qPCR was able to amplify DNA in both lesion and blood samples before treatment. Throughout the treatment follow-up, qPCR effectively did not identify treponemal DNA in the blood for up to one to two weeks after treatment. ECDC typing revealed the genotype 14 e/g in the Brazilian T. pallidum isolate, and the presence of the A2058G mutation in 23S rRNA gene, indicating macrolide resistance. Although, the G1058C mutation in 16S rRNA gene was not detected. Notably, qPCR demonstrated its potential for diagnosing T. pallidum in blood samples, even when the treponemal DNA levels were low, enabling more accurate and sensitive diagnosis and guiding better syphilis therapy. In addition, to the best of our knowledge, this study represents the first identification of subtype 14 e/g and azithromycin resistance in a Brazilian T. pallidum isolate.

The Clinical Pulmonary Infection Score Combined with Procalcitonin and Lung Ultrasound (CPIS-PLUS), a Good Tool for Ventilator Associated Pneumonia Early Diagnosis in Pediatrics

The Clinical Pulmonary Infection Score Combined with Procalcitonin and Lung Ultrasound (CPIS-PLUS), a Good Tool for Ventilator Associated Pneumonia Early Diagnosis in Pediatrics

Tobacco use Prevalence in the Military Health System: A Retrospective Study.

Tobacco use is prevalent and has traditionally been higher in the U.S. Military population than in the civilian population, but studies are limited. The goal of this study was to evaluate tobacco use and tobacco cessation counseling within the US Military health system (MHS). This was a retrospective study assessing tobacco use and cessation counseling rates within the MHS from July 2016 to March 2022. Data for military tobacco use were obtained from the Defense Health Agency (DHA) Dashboard. US civilian tobacco rates were obtained from the Center for Disease Control and Prevention (CDC). Patients 18+ currently enrolled in direct care in military treatment facilities (MTFs) who had at least one direct primary care or well care gynecology encounter during the measurement years. Current tobacco use is defined as the presence of one coded indicator which included ICD 10CM codes, MEDCIN (a system of standardized medical terminology) Terms, and Vitals. Tobacco use is defined as the use of any form of tobacco (cigarette, cigar, vaping, or smokeless). The prevalence of tobacco use per month was analyzed from July 2016 through March 2022. After searching specifically for procedure codes for tobacco cessation counseling, a month-to- month trend of the rate of tobacco cessation counseling was also established. Data from 1.8 million patients were analyzed. Overall tobacco use within the MHS (including military dependents and retirees) decreased 1.68% (29.94 to 28.26%) from 2016 to 2022. Rates decreased by 3.24% (29.94 to 26.70%) from July 2016 to March 2021 before increasing by 1.56% (26.70 to 28.26%) from March 2021 to March 2022. Tobacco cessation counseling declined by 17.4% (28.4 to 11%) from July 2016 to March 2022. In comparison to the civilian population, tobacco use was 15.0% higher in the MHS. Tobacco use remains common in the United States but is more prevalent in both active duty military and military retirees than civilians. Tobacco cessation counseling within the MHS steadily declined from 2016 to 2022. While there has been an overall reduction in rates of tobacco use in the military population over the last 5 years there was an increase over the last 2 years. Further research is needed to elucidate tobacco use, the effect of tobacco cessation counseling in the military, and the potential role of tobacco cessation medications in reducing tobacco use within the MHS.

Using a customer discovery process to enhance the potential dissemination and scalability of a family healthy weight program for rural communities and small towns

AimCustomer discovery, an entrepreneurial and iterative process to understand the context and needs of potential adoption agencies, may be an innovative strategy to improve broader dissemination of evidence-based interventions. This paper describes the customer discovery process for the Building Healthy Families (BHF) Online Training Resources and Program Package (BHF Resource Package) to support rural community adoption of an evidence-based, family healthy weight program.MethodsThe customer discovery process was completed as part of a SPeeding Research-tested INTerventions (SPRINT) training supported by the U.S. Centers for Disease Control and Prevention. Customer discovery interviews (n=47) were conducted with people that could be potential resource users, economic buyers, and BHF adoption influencers to capture multiple contextual and needs-based factors related to adopting new evidence-based interventions. Qualitative analyses were completed in an iterative fashion as each interview was completed.ResultsThe BHF Resource Package was designed to be accessible to a variety of implementation organizations. However, due to different resources being available in different rural communities, customer discovery interviews suggested that focusing on rural health departments may be a consistent setting for intervention adoption. We found that local health departments prioritize childhood obesity but lacked the training and resources necessary to implement effective programming. Several intervention funding approaches were also identified including (1) program grants from local and national foundations, (2) healthcare community benefit initiatives, and (3) regional employer groups. Payment plans recommended in the customer discovery interviews included a mix of licensing and technical support fees for BHF delivery organizations, potential insurance reimbursement, and family fees based on ability to pay. Marketing a range of BHF non-weight related outcomes was also recommended during the customer discovery process to increase the likelihood of BHF scale-up and sustainability.ConclusionsEngaging in customer discovery provided practical directions for the potential adoption, implementation, and sustainability of the BHF Resource Package. However, the inconsistent finding that health departments are both the ideal implementation organization, but also see childhood obesity treatment as a clinical service, is concerning.

Implementing Adult Hepatitis B Immunization and Screening Using Electronic Health Records: A Practical Guide

Implementing Adult Hepatitis B Immunization and Screening Using Electronic Health Records: A Practical Guide

Social Factors Associated with Congenital Syphilis in Missouri.

Congenital syphilis disproportionately affects individuals impacted by adverse social determinants of health. Understanding these determinants may help facilitate holistic care. We performed a retrospective review of mother-infant dyads with potential congenital syphilis in a Missouri hospital system. Cases were classified per Centers for Disease Control and Prevention clinical scenarios. Information was collected regarding demographics, prenatal care, substance use, and other social factors. Dyads with confirmed/highly probable or possible congenital syphilis ("congenital syphilis outcomes") were compared to those with less likely/unlikely congenital syphilis ("non-congenital syphilis outcomes") using descriptive statistics. We identified 131 dyads with infant dates of birth from 12/2015-6/2022: 74 (56%) with congenital syphilis outcomes and 56 (43%) with non-congenital syphilis outcomes. Most mothers were Black/African American (n = 84, 65%) and lived in areas with high Social Vulnerability Indices. Many had inadequate prenatal care (n = 61, 47%) and/or substance use histories (n = 55, 42%). Significant associations with congenital syphilis outcomes included limited prenatal care (OR 3.01, 95% CI 1.38-6.56), no prenatal care (OR 16.08, 95% CI 1.96-132.11), substance use (OR 3.42, 95% CI 1.61-7.25), housing instability (OR 3.42, 95% CI 1.39-8.38), and justice system interactions (OR 2.29, 95% CI 1.00-5.24). Substance use correlated with prenatal care adequacy (p < 0.001). 30% of infants with congenital syphilis outcomes were taken into protective custody. Adverse social determinants of health are common in dyads impacted by congenital syphilis. Health systems should consider interdisciplinary programming to improve testing and linkage to care. Future studies should evaluate social support for congenital syphilis prevention and management.

Trajectories of State-Level Sepsis-Related Mortality by Race and Ethnicity Group in the United States

Background: Recent reports on the national temporal trends of sepsis-related mortality in the United States (US) suggested improvement of outcomes in several race and ethnicity groups. However, it is unknown whether national data reflect state-level trajectories. Methods: We used the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research Multiple Cause of Death data set to identify all decedents with sepsis in the US during 2010–2019. Negative binomial regression models were fit to estimate national and state-level trends of age-adjusted sepsis-related mortality rates within race and ethnicity groups. Results: There were 1,852,610 sepsis-related deaths in the US during 2010–2019. Nationally, sepsis-related mortality rates decreased among Blacks and Asians, were unchanged among Hispanics and Native Americans, and rose among Whites. The percent of states with similar trends were 30.0% among Blacks, 32.1% among Asians, 74.3% among Hispanics, 75.0% among Native Americans, and 66.7%% among Whites, while trending in opposite direction from 3.6% among Asians to 15.0% among Blacks. Conclusions: National trends in sepsis-related mortality in the US did not represent state-level trajectories in race ethnicity groups. Gains in sepsis outcomes among race and ethnicity groups at the national level were not shared equitably at the state level.

Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot

ABSTRACT Objective The objective is to determine whether unsupervised machine learning identifies traumatic brain injury (TBI) phenotypes with unique clinical profiles. Methods Pilot self-reported survey data of over 10,000 adults were collected from the Centers for Disease Control and Prevention (CDC)’s National Concussion Surveillance System (NCSS). Respondents who self-reported a head injury in the past 12 months (n = 1,364) were retained and queried for injury, outcome, and clinical characteristics. An unsupervised machine learning algorithm, partitioning around medoids (PAM), that employed Gower’s dissimilarity matrix, was used to conduct a cluster analysis. Results PAM grouped respondents into five TBI clusters (phenotypes A-E). Phenotype C represented more clinically severe TBIs with a higher prevalence of symptoms and association with worse outcomes. When compared to individuals in Phenotype A, a group with few TBI-related symptoms, individuals in Phenotype C were more likely to undergo medical evaluation (odds ratio [OR] = 9.8, 95% confidence interval[CI] = 5.8–16.6), have symptoms that were not currently resolved or resolved in 8+ days (OR = 10.6, 95%CI = 6.2–18.1), and more likely to report at least moderate impact on social (OR = 54.7, 95%CI = 22.4–133.4) and work (OR = 25.4, 95%CI = 11.2–57.2) functioning. Conclusion Machine learning can be used to classify patients into unique TBI phenotypes. Further research might examine the utility of such classifications in supporting clinical diagnosis and patient recovery for this complex health condition.

Cancer Incidence Rates in the US in 2016–2020 with Respect to Solar UVB Doses, Diabetes and Obesity Prevalence, Lung Cancer Incidence Rates, and Alcohol Consumption: An Ecological Study

This article reports the results of an ecological study of cancer incidence rates by state in the US for the period 2016–2020. The goals of this study were to determine the extent to which solar UVB doses reduced cancer risk compared to findings reported in 2006 for cancer mortality rates for the periods 1950–1969 and 1970–1794 as well as cancer incidence rates for the period 1998–2002 and to determine which factors were recently associated with cancer risk. The cancer data for non-Hispanic white (European American) men and women were obtained from the Centers for Disease Control and Prevention. Indices were obtained for solar UVB at the surface for July 1992, and alcohol consumption, diabetes, and obesity prevalence near the 2016–2020 period. Lung cancer incidence rates were also used in the analyses as a surrogate for smoking, diet, and air pollution. The cancers for which solar UVB is significantly associated with reduced incidence are bladder, brain (males), breast, corpus uteri, esophageal, gastric, non-Hodgkin’s lymphoma, pancreatic, and renal cancer. Lung cancer was significantly associated with colorectal, laryngeal, and renal cancer. Diabetes was also significantly associated with breast, liver, and lung cancer. Obesity prevalence was significantly associated with breast, colorectal, and renal cancer. Alcohol consumption was associated with bladder and esophageal cancer. Thus, diet has become a very important driver of cancer incidence rates. The role of solar UVB in reducing the risk of cancer has been reduced due to people spending less time outdoors, wearing sunscreen that blocks UVB but not UVA radiation, and population increases in terms of overweight and obese individuals, which are associated with lower 25-hydroxyvitamin D concentrations and the generation of systemic inflammation, which is a risk factor for cancer. A dietary approach that would reduce the risk of diabetes, obesity, lung cancer, and, therefore, cancer, would be one based mostly on whole plants and restrictions on red and processed meats and ultraprocessed foods. Solar UVB exposure for a few minutes before applying sunscreen and taking vitamin D supplements would also help reduce the risk of cancer.