scholarly journals Vaccination coverage estimation in Mexico in children under five years old: Trends and associated factors

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250172
Author(s):  
Maria Jesus Rios-Blancas ◽  
Hector Lamadrid-Figueroa ◽  
Miguel Betancourt-Cravioto ◽  
Rafael Lozano
Keyword(s):  
Vaccination Coverage ◽  
Regression Models ◽  
Associated Factors ◽  
Herd Immunity ◽  
Secondary Analysis ◽  
Innovative Strategies ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Coverage Estimation ◽  
Children Under 5

We aimed to estimate vaccination coverage and factors associated in completing schemes in children under 5 years old between 2000 and 2018. A secondary analysis was carried out on five national health surveys between 2000 and 2018 in Mexico. The sample was 53,898 children under 5 years old, where 30% of missing vaccination information was imputed using chained equations. During this period two basic vaccination schemes (CBS) were identified. For each doses and vaccines of both schemes and completed CBS, the coverage was estimated using weighted logistic regression models. Additionally, the factors associated with incomplete schemes were reported. Between 2000 and 2018, the caretakers who did not show the vaccination card went from 13.8% to 45.6%. During this period, the estimated vaccination coverages did not exceed 95%, except for BCG and marginally the first doses of vaccines against pneumococcus, acellular pentavalent, and Sabin. In the same period, the CBS estimated coverage decreased steadily and was under 90%, except for children aged 6–11 months (92.6%; 91.5–93.7) in 2000. Not having health insurance stands out as an associated factor with incomplete vaccination schemes. In conclusion, the imputation allowed to recuperate information and obtain better data of vaccination coverage. The estimated vaccination coverage and CBS do not reach sufficient levels to guarantee herd immunity, hence innovative strategies to improve vaccination must be established in Mexico.

Demographic factors associated with missed follow-up among solid tumor patients treated at a large multi-site academic institution

2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Odds Ratio ◽  
Regression Models ◽  
Tumor Patients ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Follow Up Care ◽  
Risk Patients ◽  
African American Race

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.

scholarly journals Predictors of chronic opioid therapy in Medicaid beneficiaries with HIV who initiated antiretroviral therapy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
GYeon Oh ◽  
Emily S. Brouwer ◽  
Erin L. Abner ◽  
David W. Fardo ◽  
Patricia R. Freeman ◽  
...  
Keyword(s):  
Regression Models ◽  
Opioid Therapy ◽  
Chronic Obstructive ◽  
Chronic Opioid Therapy ◽  
Hepatitis C Infection ◽  
Antipsychotic Therapy ◽  
Obstructive Pulmonary Disease ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Medicaid Beneficiaries

AbstractThe factors associated with chronic opioid therapy (COT) in patients with HIV is understudied. Using Medicaid data (2002–2009), this retrospective cohort study examines COT in beneficiaries with HIV who initiated standard combination anti-retroviral therapy (cART). We used generalized estimating equations on logistic regression models with backward selection to identify significant predictors of COT initiation. COT was initiated among 1014 out of 9615 beneficiaries with HIV (male: 10.4%; female: 10.7%). Those with older age, any malignancy, Hepatitis C infection, back pain, arthritis, neuropathy pain, substance use disorder, polypharmacy, (use of) benzodiazepines, gabapentinoids, antidepressants, and prior opioid therapies were positively associated with COT. In sex-stratified analyses, multiple predictors were shared between male and female beneficiaries; however, chronic obstructive pulmonary disease, liver disease, any malignancy, and antipsychotic therapy were unique to female beneficiaries. Comorbidities and polypharmacy were important predictors of COT in Medicaid beneficiaries with HIV who initiated cART.

HPV Vaccine Initiation and Completion Among Native Hawaiian and Pacific Islander Adults, United States, 2014

2021 ◽  
pp. 101053952110274
Author(s):  
Sameer Vali Gopalani ◽  
Amanda E. Janitz ◽  
Sydney A. Martinez ◽  
Janis E. Campbell ◽  
Sixia Chen
Keyword(s):  
United States ◽  
Logistic Regression ◽  
Vaccination Coverage ◽  
Hpv Vaccine ◽  
Regression Models ◽  
Insurance Coverage ◽  
Hpv Vaccination ◽  
Pacific Islander ◽  
Logistic Regression Models ◽  
Vaccine Initiation

Native Hawaiian and Pacific Islander (NHPI) adults bear a disproportionate burden of certain human papillomavirus (HPV)-associated cancers. In 2015, data from the National Health Interview Survey (NHIS) showed vaccination coverage among adults by racial and ethnic groups; however, coverage data for NHPI adults were unavailable. In this study, we estimated the initiation and completion of HPV vaccination and assessed the factors associated with vaccination among NHPI adults aged 18 to 26 years in the United States. We analyzed public data files from the 2014 NHPI NHIS (n = 1204). We specified sampling design parameters and fitted weighted logistic regression models to calculate the odds of HPV vaccine initiation. We developed a directed acyclic graph to identify a minimally sufficient set for adjustment and adjusted for insurance coverage (for education and ethnicity) and doctor visit (for insurance coverage, earnings, ethnicity, and sex). Overall, 24.9% and 11.5% of NHPI adults had initiated and completed the HPV vaccination series, respectively. Weighted logistic regression models elucidated that the odds of HPV vaccine initiation were higher for females (weighted odds ratio = 5.4; 95% confidence interval = 2.8-10.4) compared with males. Low vaccination coverage found among NHPI adults provides an opportunity for targeted programs to reduce the burden of HPV-associated cancers.

FERTILITY DESIRES OF YORUBA COUPLES OF SOUTH-WESTERN NIGERIA

2005 ◽  
Vol 38 (5) ◽  
pp. 605-624 ◽  
Author(s):  
KOLAWOLE AZEEZ OYEDIRAN
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Socioeconomic Background ◽  
Background Characteristics ◽  
Fertility Intention ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Fertility Desires ◽  
Fertility Reduction ◽  
Living Children

Using the matched wife–husband (763) sample from the data collected from Ogbomoso and Iseyin towns in Oyo State, Nigeria, this paper examines factors associated with couples’ fertility intention. The analysis used logistic regression models for predicting the effects of selected socioeconomic background characteristics on a couple’s fertility intention. Results indicate high levels of concurrence among husbands and wives on fertility intention. Where differences exist, husbands are more pronatalists than their wives. About 87% of pairs of partners reported similar fertility preferences. Of these couples, 59·5% wanted more children while only 27·8% reported otherwise. The logistic regression models indicated that a couple’s fertility intention was associated with age, education, place of residence, frequency of television-watching and number of living children. Therefore, programme interventions aimed at promoting fertility reduction in Nigeria should convey fertility regulation messages to both husbands and wives.

Abstract TMP48: Effect of Pre-Morbid Antianxiety and Antidepressant Medications on Ischemic Stroke Functional Outcome

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Cecilia Peterson ◽  
Ka-Ho Wong ◽  
Michael Dela Cruz ◽  
Kirby Taylor ◽  
Jennifer J Majersik ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Regression Models ◽  
Primary Outcome ◽  
Negative Impact ◽  
Secondary Analysis ◽  
Anxiety And Depression ◽  
Neuroprotective Effects ◽  
Logistic Regression Models ◽  
Antidepressant Medications

Introduction: Antianxiety and antidepressant medications have shown some neuroprotective effects following stroke. However, the effect of premorbid use of these medications remains unclear. Hypothesis: Pre-morbid exposure to antianxiety or antidepressant medications will negatively impact recovery from acute ischemic stroke, measured by modified Rankin scale (mRS) at 90 days after stroke onset. Methods: This is a secondary analysis of the Albumin in Acute Ischemic Stroke (ALIAS) 2 trial. The primary outcome is 90-day mRS 0-1. The exposure is premorbid antidepressant or antianxiety medication. We fit univariate and multivariate logistic regression models to our outcome, with covariates chosen using a stepwise backwards interactive selection. Results: We included 806 patients with a mean (SD) age of 64.4 (12.8) years. The median (IQR) NIH Stroke Scale was 11 (8, 17) and 54.3% were male, 75.6% were Caucasian, 88.8% received tPA, 72.5% had hypertension, and 20.3% had diabetes. A total of 140/806 (17.4%) of patients took either an antidepressant or antianxiety medication, of which 91 took an antidepressant, 34 took an antianxiety medication, and 15 took both. The median (IQR) mRS Scale was one point higher in patients on antidepressant or antianxiety medication pre-stroke (3 vs. 2, p=0.019). The primary outcome of mRS 0-1 was seen in 37.7% of all patients. Taking an antidepressant or antianxiety medication was associated with lower odds of a good outcome in univariate (OR 0.61, 95% CI 0.41-0.91, p=0.015) and multivariate models (aOR 0.62, 95% CI 0.40-0.95, p=0.027) (Table 1). Conclusion: Pre-morbid exposure to antianxiety or antidepressant medications is associated with a worse outcome after acute ischemic stroke. This may be due to a negative impact of pre-stroke anxiety and depression that outweigh any neuroprotective factors of these medications.

Forced Sexual Victimization Among Youth in Custody: Do Risk Factors Vary by Gender and Perpetrator?

2019 ◽  
Vol 100 (2) ◽  
pp. 151-172
Author(s):  
Eileen M. Ahlin
Keyword(s):  
Risk Factors ◽  
Gender Differences ◽  
Logistic Regression ◽  
National Survey ◽  
Regression Models ◽  
Sexual Victimization ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Using Data

There is relatively little literature examining risk factors associated with sexual victimization among youth in custody. The current study explored whether risk of forced sexual victimization among youth in custody differs by gender or perpetrator. Using data from a sample of 8,659 youth who participated in the National Survey of Youth in Custody, multivariate logistic regression models were employed to investigate gender differences in risk factors associated with overall forced sexual victimization and staff-on-inmate and inmate-on-inmate forced sexual victimization. Findings suggest that gender differences are more pronounced when perpetrator type is considered.

Prevalence and adverse impact of extended antibiotic prophylaxis in urologic oncology surgery.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 294-294
Author(s):  
Matthew Mossanen ◽  
Josh Calvert ◽  
Sarah Holt ◽  
Andrew Callaway James ◽  
Jonathan L. Wright ◽  
...  
Keyword(s):  
Antibiotic Prophylaxis ◽  
Regression Models ◽  
Linear Regression Models ◽  
Urologic Oncology ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Provider Characteristics ◽  
Diagnosis Codes ◽  
Postoperative Length ◽  
Hospital Acquired

294 Background: Providers exhibit variation in the selection of the class, dose, and duration of prescribed antibiotic prophylaxis (ABP) to prevent postsurgical infections. We sought to evaluate ABP practice patterns for common inpatient urologic oncology surgeries and ascertain the association between extended ABP and hospital-acquired Clostridium difficile (C. diff) infections. Methods: From the PREMIER database for 2007–2012, we identified patients who underwent radical prostatectomy (RP), radical or partial nephrectomy (Nephx), or radical cystectomy (RC). We defined extended ABP from charges for antibiotics ≥ 2 days after surgery; exclusive of patients with a switch in antibiotic class within 2 postoperative days for presumption of infection. We identified postoperative C. diff infections using ICD-9 diagnosis codes. Hierarchical linear regression models were constructed by procedure to identify patient and provider factors associated with extended ABP. Logistic regression models evaluated the association between extended ABP and postoperative C. diff infection, adjusting for patient and provider characteristics. Results: We identified 59,184 RP patients, 27,921 Nephx patients, and 5,425 RC patients. RC patients were more likely to receive extended ABP (56%) than RP (18%) or Nephx (29%) patients (p<0.001). Other factors associated with extended ABP included prolonged postoperative length of stay (OR ≥ 1.69, p<0.001 for all procedures), and surgical volume (p<0.001 for highest vs. lowest volume quartiles). Hospital identity explained 35% of the variability in ABP after RP, 23% after Nephx, and 20% after RC. Among Nephx and RC patients, extended ABP was associated with significantly higher odds of postoperative C. diff infection (OR 3.79, 95% CI 2.46–5.84, and OR 1.64, 95% CI 1.12–2.39, respectively). Conclusions: We identified marked hospital-level variability in extended ABP following RP, Nephx, and RC, which was associated with significantly increased odds of hospital-acquired C. diff infections. Efforts to increase provider compliance with national ABP guidelines may decrease preventable hospital-acquired infections after urologic cancer surgery.

scholarly journals Leishmania infection in a population of dogs: an epidemiological investigation relating to visceral leishmaniasis control

2013 ◽  
Vol 22 (4) ◽  
pp. 592-596 ◽  
Author(s):  
Klauber Menezes Penaforte ◽  
Vinícius Silva Belo ◽  
Rafael Gonçalves Teixeira-Neto ◽  
Renata Aparecida Nascimento Ribeiro ◽  
Robson Bruniera de Oliveira ◽  
...  
Keyword(s):  
Visceral Leishmaniasis ◽  
Regression Models ◽  
Control Strategies ◽  
Control Program ◽  
Leishmania Infection ◽  
Canine Visceral Leishmaniasis ◽  
Epidemiological Investigation ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Control Actions

Identification of factors associated with Leishmaniainfection in dogs is essential for targeting visceral leishmaniasis control actions. Thus, the present study analyzed some of these factors in a population of dogs in a Brazilian municipality, along with the limitations of control strategies implemented there. The association between the exposure variables and occurrences of infection was analyzed through logistic regression models. The disease control interventions were treated qualitatively. Out of the 755 animals examined, 13.6% (103/755) were seropositive. Of these, 23.3% (24/103) were asymptomatic and 76.7% (79/103) presented at least one clinical sign possibly associated with visceral leishmaniasis. With weak associations, purebred, shorthaired, over 5 years of age, male and large dogs were more prone to infection. The latter two variables formed the final regression model and the association with dog size was statistically significant. The control strategies developed presented limitations and a great number of seronegative dogs was culled. The data presented contribute towards better understanding of the dynamics of infection in canine visceral leishmaniasis and indicate that actions aimed towards adequate implementation of Visceral Leishmaniasis control program in Brazilian endemic areas should be prioritized.

scholarly journals Prevalence and risk factors of Cryptosporidium spp. on dairy farms in Bogor

2021 ◽  
Vol 39 (1) ◽  
pp. 13
Author(s):  
Arifin Budiman Nugraha ◽  
Umi Cahyaningsih ◽  
Etih Sudarnika
Keyword(s):  
Risk Factors ◽  
Regression Models ◽  
Staining Technique ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Cryptosporidium Spp ◽  
Faecal Samples ◽  
Common Causes ◽  
Potential Risk Factors ◽  
Area Data

Cryptosporidial infection is one of the most common causes of diarrhea in humans and livestock worldwide. This study was conducted to estimate the prevalence of Cryptosporidium infection and to identify potential risk factors associated with shedding of oocysts in Bogor. A total of 308 faecal samples were collected from 136 calves less than 6 months, 44 from those 6-12 months and 128 from those than 12 months. Data of factors potentially associated with the likelihood of Cryptosporidium spp. infection were recorded (i.e., enviromental status, size of herd, and herd management). Cryptosporidium spp. oocyst was identified by using modified acid fast (Ziehl Neelsen) staining technique and microscopically examined under 400x magnifition. Results showed that the prevalence of cryptosporidiosis in Bogor was 21.1% (CI 95%; 16.5%-25.6%). The highest prevalence was 29% (CI 95%; 26.8%-31.7%) in cattle aged less than 6 months. The oocysts abundance were around <5 oocysts per microscopy visual area. Data was analyzed using logistic regression models.  Statistical analysis showed that there were association between cryptosporidiosis and calves aged less than 6 months with an odds ratio (OR) of 2.7 (CI 95%; 1.5-5.2) times compared with cattle aged more than 12 months.

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