Statistical Analysis of Infectious Diseases in Nursing and Genomic Data

In a variety of settings, including the medical field, it is common for the number of variables gathered to far exceed the sample size. Along with a high dimension, many of these included variables are often correlated. This can pose problems for traditional methods. Much of the time, the data cannot be utilized completely as is, but instead requires previous research to guide researchers to choose relevant predictors prior to model selection. Traditional methods such as logistic regression and mixed models cannot necessarily converge and struggle with identifiability when the number of measurements collected approach or become larger than the number of patients in the study. Machine-learning techniques, including Random Forests and the newly developed Fuzzy Forests method, can accommodate data with high dimensionality. We concentrate on decision trees in particular because of their relative ease of use, availability and predictive ability. Random Forest is a widely used, parallelizable and computationally efficient method; however it does not acknowledge any correlation between variables leading to a preference for correlated predictors. Fuzzy Forest, on the other hand, explicitly explores the correlation structure among the variables, leading to unbiased variable importance measures. Fuzzy Forest, along with Random Forest, is utilized in three applications; smoking cessation in health care workers, re-arrest among homeless ex-offenders and genetic predictors of lithium response in individuals with Bipolar disorder

HIV and cancer registry linkage identifies a substantial burden of cancers in persons with HIV in India.

We utilized computerized record-linkage methods to link HIV and cancer databases with limited unique identifiers in Pune, India, to determine feasibility of linkage and obtain preliminary estimates of cancer risk in persons living with HIV (PLHIV) as compared with the general population.Records of 32,575 PLHIV were linked to 31,754 Pune Cancer Registry records (1996-2008) using a probabilistic-matching algorithm. Cancer risk was estimated by calculating standardized incidence ratios (SIRs) in the early (4-27 months after HIV registration), late (28-60 months), and overall (4-60 months) incidence periods. Cancers diagnosed prior to or within 3 months of HIV registration were considered prevalent.Of 613 linked cancers to PLHIV, 188 were prevalent, 106 early incident, and 319 late incident. Incident cancers comprised 11.5% AIDS-defining cancers (ADCs), including cervical cancer and non-Hodgkin lymphoma (NHL), but not Kaposi sarcoma (KS), and 88.5% non-AIDS-defining cancers (NADCs). Risk for any incident cancer diagnosis in early, late, and combined periods was significantly elevated among PLHIV (SIRs: 5.6 [95% CI 4.6-6.8], 17.7 [95% CI 15.8-19.8], and 11.5 [95% CI 10-12.6], respectively). Cervical cancer risk was elevated in both incidence periods (SIRs: 9.6 [95% CI 4.8-17.2] and 22.6 [95% CI 14.3-33.9], respectively), while NHL risk was elevated only in the late incidence period (SIR: 18.0 [95% CI 9.8-30.20]). Risks for NADCs were dramatically elevated (SIR > 100) for eye-orbit, substantially (SIR > 20) for all-mouth, esophagus, breast, unspecified-leukemia, colon-rectum-anus, and other/unspecified cancers; moderately elevated (SIR > 10) for salivary gland, penis, nasopharynx, and brain-nervous system, and mildly elevated (SIR > 5) for stomach. Risks for 6 NADCs (small intestine, testis, lymphocytic leukemia, prostate, ovary, and melanoma) were not elevated and 5 cancers, including multiple myeloma not seen.Our study demonstrates the feasibility of using probabilistic record-linkage to study cancer/other comorbidities among PLHIV in India and provides preliminary population-based estimates of cancer risks in PLHIV in India. Our results, suggesting a potentially substantial burden and slightly different spectrum of cancers among PLHIV in India, support efforts to conduct multicenter linkage studies to obtain precise estimates and to monitor cancer risk in PLHIV in India

Smoking Prevalence and Correlates among Chinese Immigrants: A Secondary Data Analysis Study

Purpose: This study aimed to (1) identify the smoking prevalence among Chinese immigrants and (2) explore associations between their current smoking behaviors and demographic factors, psychological distress, and health utilization factors. Methods: Inclusion criteria were applied to extract data from the 2016 California Health Interview Survey; 650 eligible Chinese immigrant respondents were included in the sample. Independent variables were extracted based on the Integrated Model of Behavioral Prediction. Descriptive analyses and logistic regression were conducted using SAS 9.4 software. Results: 4.23% of the surveyed Chinese immigrants were current smokers. Chinese immigrants who were 50–65 years old, male, had less than a bachelor’s degree education level, and a lower income were more likely to be current smokers. Income was significantly associated with Chinese immigrants’ current smoking status (p = 0.0471). Conclusions: Chinese immigrants’ current smoking behaviors are significantly associated with their income. Interventions targeting low-income Chinese immigrants and tobacco price policies could potentially influence Chinese immigrants’ smoking behaviors. Health education about smoking cessation should focus on male Chinese immigrant smokers who are 50–65 years old and have less than a bachelor’s degree education and a lower income. More research needs to be carried out to encourage Chinese immigrants to quit smoking

Influence of depression on racial and ethnic disparities in diabetes control

Introduction We tested the hypotheses that depression diagnoses influence racial and ethnic disparities in diabetes control and that mental health treatment moderates that relationship.Research design and methods We created a national cohort of Veterans Health Administration (VHA) patients with diabetes using administrative data (n=815 067). Cross-sectional linear mixed effects regression models tested the hypothesized indirect effect of depression on poor diabetes control (glycosylated hemoglobin >9%) and tested whether mental health treatment (visits or antidepressant prescriptions) moderated the effect of depression (α=0.05). Results represent the percentage point difference in probability of poor diabetes control. Covariates included primary care visits, sex, age, and VHA facility.Results Overall, 20% of the cohort had poor diabetes control and 22% had depression. Depression was more common among racial and ethnic minoritized groups. The probability of poor diabetes control was higher for most minoritized groups compared with White patients (largest difference: American Indian or Alaska Native patients, 5.2% (95% CI 4.3%, 6.0%)). The absolute value of the proportion of racial and ethnic disparities accounted for by depression ranged from 0.2% (for Hispanic patients) to 2.0% (for Asian patients), with similar effects when accounting for the moderating effect of mental health treatment. Patients with depression and 5+ mental health visits had a lower probability of poor diabetes control compared with those with fewer visits, regardless of antidepressant prescription status.Conclusions The influence of depression on disparities in diabetes control was small. High rates of depression among people with diabetes, especially among those from racial and ethnic minoritized groups, highlight a need to ensure equitable and coordinated care for both conditions, as the effects of mental health treatment may extend to the control of physical health conditions

Junctional ER Organization Affects Mechanotransduction at Cadherin-Mediated Adhesions

10.3389/fcell.2021.669086Frontiers in Cell and Developmental Biology

Transitions in hookah (Waterpipe) smoking by U.S. sexual minority adults between 2013 and 2015: the population assessment of tobacco and health study wave 1 and wave 2.

BackgroundTobacco smoking using a hookah (i.e., waterpipe) is a global epidemic. While evidence suggests that sexual minorities (SM) have higher odds of hookah use compared to heterosexuals, little is known about their hookah use patterns and transitions. We sought to examine transitions between hookah smoking and use of other tobacco and electronic (e-) products among SM adults aged 18 years of age and older versus their heterosexual counterparts.MethodsWe analyzed nationally representative data of ever and current hookah smokers from Wave 1 (2013-2014; ever use n = 1014 SM and n = 9462 heterosexuals; current use n = 144 SM and n = 910 heterosexuals) and Wave 2 (2014-2015; ever use n = 901 SM and n = 8049 heterosexuals; current use n = 117 SM and n = 602 heterosexuals) of the Population Assessment of Tobacco and Health Study. Comparisons between groups and gender subgroups within SM identity groups were determined with Rao-Scott chi-square tests and multivariable survey-weighted multinomial logistic regression models were estimated for transition patterns and initiation of electronic product use in Wave 2.ResultsEver and current hookah smoking among SM adults (ever use Wave 1: 29% and Wave 2: 31%; current use Wave 1: 4% and Wave 2: 3%) was higher than heterosexuals (ever use Wave 1: 16% and Wave 2: 16%; current use Wave 1: 1% and Wave 2: 1%; both p < 0.0001). Among SM adults who reported hookah use at Wave 1, 46% quit hookah use at Wave 2; 39% continued hookah use and did not transition to other products while 36% of heterosexual adults quit hookah use at Wave 2 and 36% continued hookah use and did not transition to other products. Compared with heterosexuals, SM adults reported higher use of hookah plus e-products (Wave 2 usage increased by 65 and 83%, respectively).ConclusionsCompared to heterosexuals, in addition to higher rates of hookah smoking, higher percentages of SM adults transitioned to hookah plus e-product use between 2013 and 2015. Results have implications for stronger efforts to increase awareness of the harmful effects of hookah as well as vaping, specifically tailored among SM communities

Transitions in hookah (Waterpipe) smoking by U.S. sexual minority adults between 2013 and 2015: the population assessment of tobacco and health study wave 1 and wave 2.

BackgroundTobacco smoking using a hookah (i.e., waterpipe) is a global epidemic. While evidence suggests that sexual minorities (SM) have higher odds of hookah use compared to heterosexuals, little is known about their hookah use patterns and transitions. We sought to examine transitions between hookah smoking and use of other tobacco and electronic (e-) products among SM adults aged 18 years of age and older versus their heterosexual counterparts.MethodsWe analyzed nationally representative data of ever and current hookah smokers from Wave 1 (2013-2014; ever use n = 1014 SM and n = 9462 heterosexuals; current use n = 144 SM and n = 910 heterosexuals) and Wave 2 (2014-2015; ever use n = 901 SM and n = 8049 heterosexuals; current use n = 117 SM and n = 602 heterosexuals) of the Population Assessment of Tobacco and Health Study. Comparisons between groups and gender subgroups within SM identity groups were determined with Rao-Scott chi-square tests and multivariable survey-weighted multinomial logistic regression models were estimated for transition patterns and initiation of electronic product use in Wave 2.ResultsEver and current hookah smoking among SM adults (ever use Wave 1: 29% and Wave 2: 31%; current use Wave 1: 4% and Wave 2: 3%) was higher than heterosexuals (ever use Wave 1: 16% and Wave 2: 16%; current use Wave 1: 1% and Wave 2: 1%; both p < 0.0001). Among SM adults who reported hookah use at Wave 1, 46% quit hookah use at Wave 2; 39% continued hookah use and did not transition to other products while 36% of heterosexual adults quit hookah use at Wave 2 and 36% continued hookah use and did not transition to other products. Compared with heterosexuals, SM adults reported higher use of hookah plus e-products (Wave 2 usage increased by 65 and 83%, respectively).ConclusionsCompared to heterosexuals, in addition to higher rates of hookah smoking, higher percentages of SM adults transitioned to hookah plus e-product use between 2013 and 2015. Results have implications for stronger efforts to increase awareness of the harmful effects of hookah as well as vaping, specifically tailored among SM communities

Violent Crime in the Lives of Homeless Female Ex-Offenders.

The cyclical pattern of violence in the lives of homeless female ex-offenders may precipitate ongoing substance use and recidivism; all of which have shown to be mounting public health issues affecting successful reentry. This paper, which analyzed baseline data from a longitudinal study of 126 female ex-offenders in Los Angeles and Pomona, California, highlighted the factors found to be associated with violent crime among homeless female ex-offenders. A multiple logistic regression model for whether or not the last conviction was for a violent offense indicated that poor housing (p = .011) and self-reported anger or hostility (p < .001) were significant correlates. An ordinal regression model for the number of violent offenses also indicated that affectionate support was associated with committing fewer number of violent crimes (p = .001), while positive social interactions (p = .007), and anger/hostility (p = .015) were associated with greater number of violent crimes. Implications for developing a comprehensive array of strategies that can mitigate the pattern of violence often seen in the lives of homeless female who have recently exited jails and prisons is discussed

Correlates of Posttraumatic Stress Symptoms among Formerly Incarcerated, Homeless Women

Posttraumatic stress symptoms are a pressing issue among women experiencing incarceration and homelessness. Baseline data were collected among formerly incarcerated homeless women (N = 130) who were on average 38.9 (SD = 11.36, range 19-64) years of age and recruited into a pilot randomized control trial (RCT) intervention program. A logistic regression was used to assess correlates of PTSD symptoms. The majority of the sample self-reported witnessing violence (85%) and had moderate PTSD symptoms (M = 1.61, SD = 1.62, range: 0-4). No past month drug use (p = 0.006), higher anger scores (p = 0.002), greater emotional support (p = 0.009), and psychological frailty (p = 0.02) were significantly associated with higher odds of PTSD symptoms. Moreover, women who experienced minor family conflicts had lower odds of PTSD symptoms relative to those that had family conflicts most of the time (p = 0.02). Similarly, controlling for all other variables, women who had a higher positive social interaction score also had lower odds of PTSD symptoms (p = 0.006). These findings are a call to action for academicians, service providers, and health practitioners to develop an intervention which integrates comprehensive PTSD screening, and discussion of ways to build coping skills, relationships with family and social networks, and utilizes a trauma-informed approach during reentry

We Built it, But Did They Come: Veterans’ Use of VA Healthcare System-Provided Complementary and Integrative Health Approaches

BackgroundInterest in complementary and integrative health (CIH) approaches, such as meditation, yoga, and acupuncture, continues to grow. The evidence of effectiveness for some CIH approaches has increased in the last decade, especially for pain, with many being recommended in varying degrees in national guidelines. To offer nonpharmacological health management options and meet patient demand, the nation's largest integrated healthcare system, the Veterans Health Administration (VA), greatly expanded their provision of CIH approaches recently.ObjectiveThis paper addressed the questions of how many VA patients might use CIH approaches and chiropractic care if they were available at modest to no fee, and would patients with some health conditions or characteristics be more likely than others to use these therapies.DesignUsing electronic medical records, we conducted a national, three-year, retrospective analysis of VA patients' use of eleven VA-covered therapies: chiropractic care, acupuncture, Battlefield Acupuncture, biofeedback, clinical hypnosis, guided imagery, massage therapy, meditation, Tai Chi/Qigong, and yoga.ParticipantsWe created a national cohort of veterans using VA healthcare from October 2016-September 2019.Key resultsVeterans' use of these approaches increased 70% in three years. By 2019, use was 5.7% among all VA patients, but highest among patients with chronic musculoskeletal pain (13.9%), post-traumatic stress disorder (PTSD; 10.6%), depression (10.4%), anxiety (10.2%), or obesity (7.8%). The approach used varied by age and race/ethnicity, with women being uniformly more likely than men to use each approach. Patients having chronic musculoskeletal pain, obesity, anxiety, depression, or PTSD were more likely than others to use each of the approaches.ConclusionsVeterans' use of some approaches rapidly grew recently and was robust, especially among patients most in need. This information might help shape federal/state health policy on the provision of evidence-based CIH approaches and guide other healthcare institutions considering providing them