Log-binomial Models Research Articles

Prevalence, Awareness And Adverse Outcomes Of Breast Ironing Among Cameroonian Women In Buea Health District

Background: Breast ironing, also known as breast flattening, is a practice that involves the use of an object to massage, press, or pound the breast. This practice is usually performed on girls, between the ages of 9 and 15 years The known effects of breast ironing are self-reported symptoms or signs of breast ironing by the victims. This study aims to investigate the prevalence, awareness, and adverse outcomes of Cameroonian women towards breast ironing. Methods: A mixed method design involving qualitative and cross-sectional study among women aged 18years and above. The primary outcome variable was previous experience of breast ironing. Log-binomial model was used to determine effects of breast-ironing on selected reproductive health outcomes. Results: Of 160 women interviewed, 22 (14%) had experienced breast ironing. The mean age was 26±4.62 years. All participants were aware of breast ironing. There were significant associations between being a victim of breast ironing and parity, breast symmetry, nipple anatomy, breast pain, milk quantity during lactation, breast sagging. The risk of reporting breast ironing was higher among women who experienced breast sagging earlier than expected, women who reported breast pain and women whose breasts had marked asymmetry. Conclusion: Breast ironing is prevalent in the Buea health district of Cameroon, and victims are more likely to experience adverse breast outcomes. Health education and introduction of legislation against breast ironing will go a long way to eliminate this harmful traditional practice. More studies will help to further understand drivers of breast ironing in other regions of Cameroon.

Impact of Visit Volume on the Effectiveness of Electronic Tools to Improve Heart Failure Care

BackgroundElectronic health record (EHR) tools can improve prescribing of guideline-recommended therapies for heart failure with reduced ejection fraction (HFrEF), but their effectiveness may vary by physician workload. ObjectivesThis paper aims to assess whether physician workload modifies the effectiveness of EHR tools for HFrEF. MethodsThis was a prespecified subgroup analysis of the BETTER CARE-HF (Building Electronic Tools to Enhance and Reinforce Cardiovascular Recommendations for Heart Failure) cluster-randomized trial, which compared effectiveness of an alert vs message vs usual care on prescribing of mineralocorticoid antagonists (MRAs). The trial included adults with HFrEF seen in cardiology offices who were eligible for and not prescribed MRAs. Visit volume was defined at the cardiologist-level as number of visits per 6-month study period (high = upper tertile vs non-high = remaining). Analysis at the patient-level used likelihood ratio test for interaction with log-binomial models. ResultsAmong 2,211 patients seen by 174 cardiologists, 932 (42.2%) were seen by high-volume cardiologists (median: 1,853; Q1-Q3: 1,637-2,225 visits/6 mo; and median: 10; Q1-Q3: 9-12 visits/half-day). MRA was prescribed to 5.5% in the high-volume vs 14.8% in the non–high-volume groups in the usual care arm, 10.3% vs 19.6% in the message arm, and 31.2% vs 28.2% in the alert arm, respectively. Visit volume modified treatment effect (P for interaction = 0.02) such that the alert was more effective in the high-volume group (relative risk: 5.16; 95% CI: 2.57-10.4) than the non–high-volume group (relative risk: 1.93; 95% CI: 1.29-2.90). ConclusionsAn EHR-embedded alert increased prescribing by >5-fold among patients seen by high-volume cardiologists. Our findings support use of EHR alerts, especially in busy practice settings. (Building Electronic Tools to Enhance and Reinforce Cardiovascular Recommendations for Heart Failure [BETTER CARE-HF]; NCT05275920)

Effect of body mass index on acute postoperative complications following Total Ankle Arthroplasty (TAA)

BackgroundTotal ankle arthroplasty (TAA) is an effective treatment for various ankle pathologies, but some concern remains for the high associated complication and failure rates relative to major joint arthroplasty of the hip and knee. Patient body mass index (BMI) is a modifiable and potentially important preoperative variable when evaluating postoperative complications. The purpose of this study is to evaluate the effect of BMI, age and sex on the acute postoperative complication rate after TAA. MethodsWe retrospectively reviewed adult patients who underwent TAA between 2006 and 2021 from the NSQIP database. Using overweight patients as the reference BMI group, we utilized log-binomial models to estimate risk ratios on outcomes while adjusting for sex and age to investigate whether there were significant adjusted differences in complication rates among the BMI groups. ResultsWe found that, relative to overweight patients, there were no statistically significant differences in the risk of acute complications for underweight (BMI < 18.5) (P = .118), healthy weight (18.5≤BMI < 25) (P = .544), obese (30≤BMI < 40) (P = .930), or morbidly obese (BMI < 40) (P = .602) patients who underwent TAA. There were also no statistically significant differences in the risk of acute complications based on age category (P = .482,.824) or sex (P = .440) for TAA. Additionally, there were no significant differences between the BMI groups for either major complications (P = .980) or minor complications (P = .168). ConclusionUltimately, we found that BMI, age, and sex did not lead to statistically significant differences in the risk of complications within 30 days postoperatively for TAA, even when stratified by major vs minor complications. Level of EvidenceLevel III

Previous Infection and Effectiveness of COVID-19 Vaccination in Middle- and High-School Students.

Understanding the real-world impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mitigation measures, particularly vaccination, in children and adolescents in congregate settings remains important. We evaluated protection against SARS-CoV-2 infection using school-based testing data. Using data from Utah middle- and high-school students participating in school-wide antigen testing in January 2022 during omicron (BA.1) variant predominance, log binomial models were fit to estimate the protection of previous SARS-CoV-2 infection and coronavirus disease 2019 vaccination against SARS-CoV-2 infection. Among 17 910 students, median age was 16 years (range: 12-19), 16.7% had documented previous SARS-CoV-2 infection; 55.6% received 2 vaccine doses with 211 median days since the second dose; and 8.6% of students aged 16 to 19 years received 3 vaccine doses with 21 median days since the third dose. Protection from previous infection alone was 35.9% (95% confidence interval [CI]: 12.9%-52.8%) and 23.8% (95% CI: 2.1%-40.7%) for students aged 12 to 15 and 16 to 19 years, respectively. Protection from 2-dose hybrid immunity (previous SARS-CoV-2 infection and vaccination) with <180 days since the second dose was 58.7% (95% CI: 33.2%-74.4%) for students aged 12 to 15 and 54.7% (95% CI: 31.0%-70.3%) for students aged 16 to 19 years. Protection was highest (70.0%, 95% CI: 42.3%-84.5%) among students with 3-dose hybrid immunity, although confidence intervals overlap with 2-dose vaccination. The estimated protection against infection was strongest for those with hybrid immunity from previous infection and recent vaccination with a third dose.

Higher live birth rates are associated with a normal body mass index in preimplantation genetic testing for aneuploidy frozen embryo transfer cycles: a Society for Assisted Reproductive Technology Clinic Outcome Reporting System study

To determine whether body mass index (BMI) was associated with live birth in patients undergoing transfer of frozen-thawed preimplantation genetic testing for aneuploidy (PGT-A) embryos. Retrospective cohort study of cycles reported to the Society for Assisted Reproductive Technology Clinic Outcome Reporting System. All autologous and donor recipient PGT-A-tested cycles reported to the Society for Assisted Reproductive Technology Clinic Outcome Reporting System from 2014 to2017. Body mass index. The primary outcome measure was the live birth rate, and the secondary outcome measures were the clinical pregnancy and biochemical pregnancy rates. Multivariable generalized additive mixed models and log-binomial models were used to model the relationship between BMI and outcome measures. A total of 77,018 PGT-A cycles from 55,888 patients were analyzed. Of these cycles, 70,752 were autologous, and 6,266 were donor recipient. In autologous cycles, a statistically significant and clear nonlinear relationship was observed between the BMI and live birth rates, with the highest birth rates observed for the BMI range of 23-24.99 kg/m2. When using 23-24.99 kg/m2 as the referent, other BMI ranges demonstrated a lower probability of live birth and clinical pregnancy that continued to decrease as the BMI moved further from the reference value. Patients with a BMI of <18.5 kg/m2 had a 11% lower probability of live birth, whereas those with a BMI of ≥40 kg/m2 had a 27% lower probability than the referent. A normal-weight BMI range of 23-24.99 kg/m2 was associated with the highest probability of clinical pregnancy and live birth after a frozen-thawed PGT-A-tested blastocyst transfer in both autologous and donor recipient cycles. A BMI outside the range of 23-24.99 kg/m2 is likely associated with a malfunction in the implantation process, which is presumed to be related to a uterine factor and not an oocyte factor, as both autologous and donor recipient cycle outcomes were associated similarly with the BMI of the intended parent.

Spontaneous and induced abortions in women with a diagnosis of gestational related neoplasm: a population-based linkage study in Lombardy, 2010–2020

BackgroundA diagnosis of cancer during pregnancy or within one year after the end of pregnancy is a major clinical and public health issue. The current study aimed at estimating the incidence of pregnancy-associated cancer (PAC) and assessing whether the risk of abortion is increased in women diagnosed with cancer.MethodsThis population-based cohort study used the regional healthcare utilization (HCU) databases of Lombardy, the largest region in Italy, to identify the women who delivered between 2010 and 2020. PAC were identified by oncological ICD-9-CM codes reported in the hospital discharge forms. We computed the ratio of PAC cases to the total number of pregnancies. Following a diagnosis of PAC, the prevalence ratio (PR) of abortion and the corresponding 95% confidence interval (CI), was estimated using a log-binomial model adjusted for maternal age.ResultsDuring the study period, 926 women who gave birth (1.29 cases per 1000 births) and 341 women who had an abortion (1.52 cases per 1000 abortions) were diagnosed with PAC. Regardless of the outcome of pregnancy, the risk of PAC increased with increasing age. The rate of PAC was initially lower among births, but it came very close to the rate of PAC among abortions in the last two calendar years. The proportion of abortions among women with PAC gradually decreased from 27.7% in 2010–2012 to 18.5% in 2019–2020 (p-value < 0.001). Overall, a diagnosis of PAC was related to an approximately 10% increased risk of abortion (PR = 1.11, 95%CI:1.01–1.22). However, no association was observed in 2019–2020 (PR = 0.87, 95%CI:0.65–1.17). Considering only diagnoses made during the first trimester of pregnancy, the risk of abortion was about 2.5 times higher (PR = 2.53, 95%CI:2.05–3.11) and the risk of induced abortion was almost 4 times higher (PR = 3.71, 95%CI:2.82–4.90).ConclusionIn this population the risk of abortion was about 10% higher in women with PAC than in women without PAC. However, this association tended to decrease in more recent calendar periods. This trend seemed to be influenced more by spontaneous than by induced abortions.

Abstract 11801: Timing of Critical Congenital Heart Defect (CCHD) Detection at 7 U.S. Sites, the Birth Defects Study to Evaluate Pregnancy Exposures (BD-STEPS), 2014-2018

Background: CCHD detection prenatally or at birth hospitalization may reduce infant mortality and morbidity, yet little is known about prevalence and characteristics associated with timing of detection. Objective: To examine prevalence and characteristics associated with prenatal and late (&gt;3 days after birth) detection of CCHD among infants in BD-STEPS, a multi-site population-based case-control study of risk factors for birth defects. Methods: Liveborn infants with non-syndromic CCHD without genetic causes born 2014-2018 with interviewed mothers were included. Timing of detection was based on date of earliest fetal or postnatal echocardiogram. Multivariable log-binomial models calculated adjusted prevalence ratios (aPR) for prenatal (vs postnatal) and late (vs not late) CCHD detection, by clinical and demographic characteristics. Log-linear models evaluated trends over time. Results: Among the 588/672 infants with CCHD and complete data, most infants’ mothers were Non-Hispanic White (53.4%), had some prenatal insurance (94.4%), and were multiparous (74.5%). Prenatal detection increased from 2014 to 2018 (24.7% to 40.1%) while late detection decreased (22.4% to 8.7%, Fig 1). Hypoplastic left heart syndrome had the highest prenatal detection (58.6%); late detection was highest for coarctation of the aorta (41.7%). Prenatal detection was more likely in infants of mothers 30-34 vs. 25-29 years at delivery (aPR=1.4, 95% confidence interval 1.0-1.9), and with additional non-cardiac defects (1.2, 1.1-1.4), and less likely among infants of mothers with &lt;11 years of education vs. &gt; bachelor’s degree (0.6, 0.3-1.0). Late detection was more likely among infants of mothers without prenatal insurance (1.8, 1.1-3.1), and less likely among those with non-cardiac defects (0.4, 0.2-0.8). Conclusion: From 2014 to 2018, prenatal detection increased and late detection decreased. Yet, disparities in detection by maternal insurance and education were observed.

Mexican Americans agree to participate in longitudinal clinical research more than non-Hispanic whites

BackgroundThe National Institutes of Health has advocated for improved minority participation in clinical research, including clinical trials and observational epidemiologic studies since 1993. An understanding of Mexican Americans (MAs) participation in clinical research is important for tailoring recruitment strategies and enrollment techniques for MAs. However, contemporary data on MA participation in observational clinical stroke studies are rare. We examined differences between Mexican Americans (MAs) and non-Hispanic whites (NHWs) participation in a population-based stroke study.MethodsWe included 3,594 first ever stroke patients (57.7% MAs, 48.7% women, median [IQR] age 68 [58–79]) from the Brain Attack Surveillance in Corpus Christi Project, 2009–2020 in Texas, USA, who were approached and invited to participate in a structured baseline interview. We defined participation as completing a baseline interview by patient or proxy. We used log-binomial models adjusting for prespecified potential confounders to estimate prevalence ratios (PR) of participation comparing MAs with NHWs. We tested interactions of ethnicity with age or sex to examine potential effect modification in the ethnic differences in participation. We also included an interaction between year and ethnicity to examine ethnic-specific temporal trends in participation.ResultsBaseline participation was 77.0% in MAs and 64.2% in NHWs (Prevalence Ratio [PR] 1.20; 95% CI, 1.14–1.25). The ethnic difference remained after multivariable adjustment (1.17; 1.12–1.23), with no evidence of significant effect modification by age or sex (Pinteraction by age = 0.68, Pinteraction by sex = 0.83). Participation increased over time for both ethnic groups (Ptrend < 0.0001), but the differences in participation between MAs and NHWs remained significantly different throughout the 11-year time period.ConclusionMAs were persistently more likely to participate in a population-based stroke study in a predominantly MA community despite limited outreach efforts towards MAs during study enrollment. This finding holds hope for future research studies to be inclusive of the MA population.

Retention in an mHealth App Aiming to Promote the Use of HIV Pre-Exposure Prophylaxis Among Female Sex Workers in Dar es Salaam, Tanzania: Prospective Cohort Study.

Increasing access to smartphones in sub-Saharan Africa offers an opportunity to leverage mobile health (mHealth) technology to improve access to health care in underserved populations. In the domain of HIV prevention, mHealth interventions can potentially contribute to solving the challenges of suboptimal adherence to pre-exposure prophylaxis (PrEP) and low retention in PrEP services among populations most vulnerable to HIV acquisition. However, there is a gap in the knowledge about the use of such interventions in sub-Saharan Africa. This study aims to evaluate the extent and predictors of retention in an mHealth app (Jichunge) that aims to promote adherence to PrEP and retention in PrEP care among female sex workers in Dar es Salaam, Tanzania. A prospective cohort of female sex workers residing in Dar es Salaam were recruited, using respondent-driven sampling. All participants were provided with the Jichunge app as they started PrEP. A questionnaire was used to collect data on sociodemographics and other structural factors, while app use data for the 60-day period following the first 150 days of being in the intervention arm were extracted from the app's back end. A multivariable log-binomial model was used to determine predictors of 6-month retention in the Jichunge app. A total of 470 female sex workers were recruited. Nearly three-quarters of participants (206/284, 72.5%) who came to the 6-month follow-up interview no longer had the Jichunge app on their phones. The majority of these participants (193/206, 93.7%) no longer had access to the app because of issues related to their phones. Data extracted from the back end of the app showed that the use of the app declined over time, and only 13.4% (63/470) of the participants were retained (continued to use the app) after 6 months of intervention. At 6 months, women aged ≥35 years were >2 times more likely to use the app than women aged 18 to 24 years (adjusted risk ratio [aRR] 2.2, 95% CI 1.2-4.1; P=.01). Furthermore, retention in the app was higher among participants who demonstrated high PrEP awareness at baseline (aRR 1.8, 95% CI 1.1-3; P=.01) and among those who had experienced financial difficulties due to health care spending (aRR 1.9, 95% CI 1.2-3.2; P=.01). Most female sex workers (206/284, 72.5%) who were enrolled in PrEP care in Tanzania no longer used the Jichunge app after 6 months. Retention in the app at 6 months was predicted by older age, high PrEP awareness, and financial difficulties due to health care spending. Strategies for the long-term retention of participants in mHealth apps, such as systems for reinstallations of apps, should be considered during the design phase.

Co-occurrence of Overweight, Stunting, and Anemia among Adolescents (10–19 Years) in Tanzania Mainland: A School-Based Cross-Sectional Study

BackgroundEvidence on double and triple burdens of malnutrition among adolescents is an essential key to informing policy design, implementation, and tracking progress of adolescent nutritional programs. Tanzania has a scarcity of studies on the double and triple burden of malnutrition among adolescents. ObjectiveThe aim of this study was to assess the co-occurrence of malnutrition (overweight, stunting, and anemia) among adolescents (10–19 y) in mainland Tanzania. MethodsA school-based cross-sectional study was conducted among 44,120 primary school adolescents aged 10 to 19 y in mainland Tanzania. Anthropometric assessments (weight, height, and body mass index), dietary assessments, and hemoglobin levels were used to calculate the single, double, and triple burden of malnutrition. Data were analyzed using Stata software 15. The chi-square test was used to test the association between the nutrition condition and social demographic variables, physical activity, and dietary quality. Log-binomial models were used to determine factors associated with stunting, overweight, and anemia. Multivariable log-binomial models were used to control confounders. All analyses were 2-tailed, and the significance level was set at 5%. ResultsThe prevalence of anemia was 34.1%, while stunting and overweight had a prevalence of 32% and 4.2%, respectively. Approximately 41.7%, 13.5%, and 0.3% had single, double, and triple burden malnutrition-related conditions, respectively. Females were found to have a higher risk of being overweight compared with males (relative risk [RR]: 1.33; 95% confidence interval [CI]: 1.21, 1.45), while engaging in moderate to low levels of physical activity was associated with a decreased risk of being overweight. Additionally, residing in urban areas was linked to a decreased risk of stunting (RR: 0.78; 95% CI: 0.75, 0.80) and a 27% lower risk of anemia when compared with participants from rural areas. ConclusionThe findings from this study suggest that the complex nature of malnutrition among school adolescents warrants consideration when designing policies and interventions to reduce the burden of malnutrition.

Digital inclusion for all? A gender-disaggregated analysis of e-government service use in Indonesia

PurposeThis study aims to investigate the factors that influence the use of e-government services among male and female samples, aiming at gaining a deeper understanding of how to promote digital inclusion and maximize the benefits of digitalization.Design/methodology/approachThis study uses binomial logistic regression modeling on two data sets: a nationwide survey at the individual level of 8,854 usable samples conducted in 2019 and village potential statistics.FindingsThe survey indicates low adoption and use of e-government services among both males and females. The statistical analysis further reveals that although there might be some variations in the influencing factors between the genders, the overall patterns are similar. These findings suggest that the low adoption and use of e-government services among males and females can be attributed to factors such as misperceptions about internet-based services, resulting in low motivation to use the services, inadequate internet connectivity, affordability, limited digital skills and exposure to harmful online content.Originality/valueThis study conducts a gender-disaggregated analysis to determine whether the antecedents of males’ decisions to adopt e-government services differ from those of females. Such a study is underrepresented in the extant literature, particularly in the context of e-government service use.

Endocrine treatment near the end of life among older women with metastatic breast cancer: a nationwide cohort study.

The appropriate time to discontinue chemotherapy at the end of life has been widely discussed. In contrast, few studies have investigated the patterns of endocrine treatment near death. In this study, we aimed to investigate the end-of-life endocrine treatment patterns of older women with metastatic breast cancer and explore characteristics associated with treatment. A retrospective cohort study of all older women (age ≥65 years) with hormone receptor-positive breast cancer who died in Sweden, 2016 - 2020. We used routinely collected administrative and health data with national coverage. Treatment initiation was defined as dispensing during the last three months of life with a nine-month washout period, while continuation and discontinuation were assessed by previous use during the same period. We used log-binomial models to explore factors associated with the continuation and initiation of endocrine treatments. We included 3098 deceased older women with hormone receptor-positive breast cancer (median age 78). Overall, endocrine treatment was continued by 39% and initiated by 5% and of women during their last three months of life, while 31% discontinued and 24% did not use endocrine treatment during their last year of life. Endocrine treatment continuation was more likely among older and less educated women, and among women who had multi-dose drug dispensing, chemotherapy, and CDK4/6 use. Only treatment-related factors were associated with treatment initiation. More than a third of women with metastatic breast cancer continue endocrine treatments potentially past the point of benefit, whereas late initiation is less frequent. Further research is warranted to determine whether our results reflect overtreatment at the end of life once patients' preferences and survival prognosis are considered.

Polybrominated biphenyls (PBBs) and prevalence of autoimmune disorders among members of the Michigan PBB registry

BackgroundPolybrominated biphenyls (PBBs), a class of endocrine disrupting chemicals, were the main chemicals present in one of the largest industrial accidents in the United States. We investigated the association between serum PBB-153 levels and autoimmune disorders among members of the Michigan PBB Registry. MethodsEight hundred and ninety-five members of the registry had both a serum PBB-153 measurement and had completed one or more questionnaires about autoimmune disorders. Autoimmune disorders were examined collectively and within specific organ systems. Sex-stratified unadjusted and adjusted log-binomial models were used to examine the association between tertiles of serum PBB-153 levels and autoimmune disorders. Models were adjusted by lifestage at exposure (in utero, childhood, adulthood), smoking history (never, past, current), and total serum lipid levels (continuous). We utilized cubic spline models to investigate non-linearity between serum PBB-153 levels and the prevalence of autoimmune disorders. ResultsApproximately 12.9% and 20.7% of male and female participants reported having one or more autoimmune disorders, respectively. After adjustment for potential confounders, we observed no association between PBB-153 tertiles and the composite classification of ‘any autoimmune disorder’ in either sex. We observed some evidence for an association between serum PBB-153 levels and rheumatoid arthritis in males and females; however, this was not statistically significant in females. We also observed some evidence for an association between serum PBB-153 levels and neurological- and thyroid-related autoimmune disorders in females, but again this was not statistically significant. Additionally, we identified dose-response curves for serum PBB-153 levels and the prevalence of autoimmune disorders that differed by lifestage of exposure and sex. ConclusionsWe observed some evidence that increasing serum PBB-153 levels were associated with three specified autoimmune disorders. Studies focusing on these three autoimmune disorders and the potential non-linear trend differences by lifestage of exposure warrant further investigation.

Negative log-binomial model with optimal robust variance to estimate the prevalence ratio, in cross-sectional population studies

BackgroundCross-sectional studies are useful for the estimation of prevalence of a particular event with concerns in specific populations, as in the case of diseases or other public health interests. Most of these studies have been carried out with binary binomial logistic regression model which estimates OR values that could be overestimated due to the adjustment of the model. Thus, the selection of the best multivariate model for cross-sectional studies is a priority to control the overestimation of the associations.MethodsWe compared the precision of the estimates of the prevalence ratio (PR) of the negative Log-binomial model (NLB) with Mantel–Haenszel (MH) and the regression models Cox, Log-Poisson, Log-binomial, and the OR of the binary logistic regression in population-based cross-sectional studies. The prevalence from a previous cross-sectional study carried out in Colombia about the association of mental health disorders with the consumption of psychoactive substances (e.g., cocaine, marijuana, cigarette, alcohol and risk of consumption of psychoactive substances) were used. The precision of the point estimates of the PR was evaluated for the NLB model with robust variance estimates, controlled with confounding variables, and confidence interval of 95%.ResultsThe NLB model adjusted with robust variance showed accuracy in the measurements of crude PRs, standard errors of estimate and its corresponding confidence intervals (95%CI) as well as a high precision of the PR estimate and standard errors of estimate after the adjustment of the model by grouped age compared with the MH PR estimate.Obtained PRs and 95%CI entre NLB y MH were: cocaine consumption (2.931,IC95%: 0.723–11.889 vs. 2.913, IC95%: 0.786–12.845), marijuana consumption (3.444, IC95%: 1.856–6.391 vs. 3.407, IC95%: 1.848, 6.281), cigarette smoking (2.175,IC95%: 1.493, 3.167 vs. 2.209, IC95%: 1.518–3.214), alcohol consumption (1.243,IC95%: 1.158–1.334 vs. 1.241, IC95%: 1.157–1.332), and risk of consumption of psychoactive substances (1.086, IC95%: 1.047–1.127 vs. 1.086, IC95%: 1.047, 1.126). The NLB model adjusted with robust variance showed mayor precision when increasing the prevalence, then the other models with robust variance with respect to MH.ConclusionsThe NLB model with robust variance was shown as a powerful strategy for the estimation of PRs for cross-sectional population-based studies, as high precision levels were identified for point estimators, standard errors of estimate and its corresponding confidence intervals, after the adjustment of confounding variables. In addition, it does not represent convergence issues for high prevalence cases (as it occur with the Log-binomial model) and could be considered in cases of overdispersion and with greater precision and goodness of fit than the other models with robust variance, as it was shown with the data set of the cross-sectional study used in here.

Effect of BMI on Acute Postoperative Complications following Total Ankle Arthroplasty (TAA)

Category: Ankle Introduction/Purpose: Total ankle arthroplasty (TAA) is an effective treatment for various ankle pathologies, but some concern remains for the relatively high associated complication and failure rates relative to major joint arthroplasty of the hip and knee. Patient body mass index (BMI) is a modifiable and potentially important preoperative variable when evaluating postoperative complications. The purpose of this study is to evaluate the effect of BMI on the acute postoperative complication rate after TAA. Methods: We performed a retrospective review to identify a large cohort of adult patients who underwent TAA between 2006 - 2020 from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Using overweight patients as the reference BMI group, we estimated log-binomial models to estimate risk ratios on outcomes, while also adjusting for sex and age, in order to investigate whether there was a significant difference in complication rate between the BMI groups. Results: We found that, relative to overweight patients, there was no statistically significant difference in the risk of acute complications for underweight (p-value=0.062), healthy weight (p-value=0.800), obese (p-value=0.993), or morbidly obese (p- value=0.781) patients who underwent TAA. There was also no statistically significant difference in the risk of acute complications based on age (p-value=0.876) or sex (p-value=0.696) for TAA. Additionally, there was no significant difference between the BMI groups when comparing how many patients had a complication out of the total number of patients in their respective BMI group for either major complications (p-value=0.9835) or minor complications (p-value=0.0578). Conclusion: We found that BMI, age, and sex did not lead to a statistically significant difference in the risk of complications, even when stratified by major vs minor complications, within 30 days postoperatively for TAA.

Associations between anterior knee pain and 2-year patellofemoral cartilage worsening: The MOST study

Anterior knee pain (AKP) is associated with patellofemoral osteoarthritis (PFOA), but longitudinal studies are lacking. If AKP precedes PFOA, it may create an opportunity to identify and intervene earlier in the disease process. The purpose of this study was to examine the longitudinal relation of AKP to worsening patellofemoral (PF) cartilage over two years. Participants were recruited from the Multicenter Osteoarthritis Study, a longitudinal study of individuals with or at risk for knee osteoarthritis (OA). Exclusion criteria included bilateral knee replacements, arthritis other than OA, and radiographic PFOA. At baseline, participants completed a knee pain map questionnaire and underwent knee magnetic resonance imaging (MRI). Imaging was repeated at 2-year follow-up. Exposure was presence of frequent AKP. Outcome was worsening cartilage damage in the PF joint defined as increase in MRI Osteoarthritis Knee Score from baseline to 2 years. Log-binomial models were used to calculate risk ratios (RR). One knee from 1083 participants (age 56.7±6.6 years; body mass index 28.0±4.9kg/m2) was included. Frequent AKP and frequent isolated AKP were present at baseline in 14.5% and 3.6%, respectively. Frequent AKP was associated with an increased risk (RR: 1.78, 95% confidence interval: 1.21, 2.62) of 2-year worsening cartilage damage in the lateral PF compartment. No association was found between frequent AKP and worsening in the medial PF joint. Frequent AKP at baseline was associated with worsening cartilage damage in the lateral PF joint over 2 years.

A Comparison of Self-reported Condomless Sex and Yc-DNA Biomarker Data from Young Women Engaged in High Risk Sexual Activity in Kampala, Uganda

Reporting of condom-use can limit researchers’ understanding of high-risk sexual behaviours. We compared self-reported condom-use with the Yc-DNA biomarker data and investigated potential factors influencing participation in, and reporting of, sexual behaviours. Self-reported data were collected using Audio Computer Assisted Self Interviews (ACASI) and samples for Yc-DNA biomarker were collected using self-administered and health worker-collected vaginal swabs from 644 women (aged 15–24 years) who were not living with HIV. Yc-DNA results and interview data were compared using McNemar-Bowker Analysis and Cohen’s Kappa. Test statistics for Yc-DNA biomarker were calculated. Log Binomial models for Yc-DNA and self-reported results were conducted to assess for association. We found strong evidence (p < 0.001) for a difference between Yc-DNA and self-reported results. 13.7% of participants reported consistent condom-use with all partners, regardless of HIV status. Self-reported condom-use was discordant in 50.0% (n = 206) of cases, when compared to Yc-DNA results. Positive Yc-DNA results were found to be associated with older age (RR 1.36; 95%CI 1.04, 1.76 p = 0.023). Self-reported condom-use with partners with unknown HIV status was associated with higher education (RR 0.76; 95%CI 0.58,0.99 p = 0.043). Sensitivity analysis did not determine difference between methods for controlling for missing data. We found significant under-reporting of condomless sex in the self-reported data when compared to Yc-DNA results.

Digital mammography and digital breast tomosynthesis for detecting invasive lobular and ductal carcinoma.

Invasive lobular carcinoma (ILC) is a distinct histological subtype of breast cancer that can make early detection with mammography challenging. We compared imaging performance of digital breast tomosynthesis (DBT) to digital mammography (DM) for diagnoses of ILC, invasive ductal carcinoma (IDC), and invasive mixed carcinoma (IMC) in a screening population. We included screening exams (DM; n = 1,715,249 or DBT; n = 414,793) from 2011 to 2018 among 839,801 women in the Breast Cancer Surveillance Consortium. Examinations were followed for one year to ascertain incident ILC, IDC, or IMC. We measured cancer detection rate (CDR) and interval invasive cancer rate/1000 screening examinations for each histological subtype and stratified by breast density and modality. We calculated relative risk (RR) for DM vs. DBT using log-binomial models to adjust for the propensity of receiving DBT vs. DM. Unadjusted CDR per 1000 mammograms of ILC overall was 0.33 (95%CI: 0.30-0.36) for DM; 0.45 (95%CI: 0.39-0.52) for DBT, and for women with dense breasts- 0.33 (95%CI: 0.29-0.37) for DM and 0.54 (95%CI: 0.43-0.66) for DBT. Similar results were noted for IDC and IMC. Adjusted models showed a significantly increased RR for cancer detection with DBT compared to DM among women with dense breasts for all three histologies (RR; 95%CI: ILC 1.53; 1.09-2.14, IDC 1.21; 1.02-1.44, IMC 1.76; 1.30-2.38), but no significant increase among women with non-dense breasts. DBT was associated with higher CDR for ILC, IDC, and IMC for women with dense breasts. Early detection of ILC with DBT may improve outcomes for this distinct clinical entity.

Political representation and perinatal outcomes to Black, White, and Hispanic people in Georgia: a cross-sectional study

PurposeOur goal was to estimate differences in perinatal outcomes by racial differences in political representation, a measure of structural racism. MethodsWe gathered data on the racial composition of county-level elected officials for all counties in Georgia (n = 159) in 2022. We subtracted the percent of non-White elected officials from the percent of non-White residents to calculate the “representation difference,” with greater positive values indicating a larger disparity. We linked this to data from 2020–2021 birth certificates (n = 238,795) on outcomes (preterm birth, <37 weeks, low birthweight birth <2500 g, birthweight, hypertensive disorders of pregnancy, cesarean delivery). We fit log binomial and linear models with generalized estimating equations, stratified by individual race/ethnicity and including individual and county covariates. ResultsMedian representation difference was 17.5% points (interquartile range: 17.2). A 25-percentile point increase in representation difference was associated with a greater risk of hypertensive disorders of pregnancy [White: adjusted risk ratio (RR): 1.12, 95% confidence interval (CI): (1.05, 1.2), Black: 1.06, 95% CI: (0.95, 1.17), other: 1.14, 95% CI: (1.0, 1.3), Hispanic: 1.19, 95% CI: (1.07, 1.32)] and lower mean birthweight for Black birthing people [adjusted beta −15.3, 95% CI: (−25.5, −7.4)]. ConclusionsParity in political representation may be associated with healthier environments.

Adenosine 5'monophosphate-activated protein kinase activation reduces the risks of psoriasis and its comorbidities: a Mendelian randomization study in the UK Biobank.

Whether metformin and its adenosine 5'monophosphate-activated protein kinase (AMPK) activation protect from psoriasis risk is unconcluded. We investigated the effect of AMPK, a pharmacological target of metformin, on the risk of psoriasis and its comorbidities and mortality among participants in the UK Biobank (UKB). To avoid immortal time biases in pharmacoepidemiologic studies, Mendelian randomization was used to infer the AMPK pathway-dependent effects. The cut-off age for distinguishing early-onset/late-onset psoriasis (EOP/LOP) was set at 60 years, based on the incident psoriasis peak in UKB. A genetic instrument comprising 44 single-nucleotide polymorphisms associated with glycated haemoglobin (HbA1c), serving as a proxy for AMPK genetic risk score (negatively associated with AMPK activation), was employed as previously reported in the literature. Log-binomial models were used to estimate the effect size of AMPK regarding relative risk (RR) and 95% CI. A total of 407 159 participants were analysed, including 9126 EOP and 3324 LOP. The AMPK genetic risk score was associated with a 12.4% increase in the risk of LOP in men (RR = 1.124, 95% CI: 1.022-1.236). This association was not significant for EOP or women. AMPK genetic risk score exhibited an elevated risk of ischemic heart disease (RR = 1.217, 95% CI 1.062-1.395) in male psoriasis patients. AMPK activation may protect against LOPs and associated ischemic heart disease in men. A sex-specific, comorbidity-targeted intervention for psoriasis is needed.