scholarly journals Sunburns among beachgoers in the northern coast of Peru: frequency and factors associated

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11473
Author(s):  
Eliana L. Fernandez-Quiroz ◽  
Lizeth Gonzales-Chachapoyas ◽  
Ana L. Alcantara-Diaz ◽  
Binz Bulnes-Villalta ◽  
Zulmy Ayala-Porras ◽  
...  
Keyword(s):  
Generalized Linear Models ◽  
Regression Models ◽  
Linear Models ◽  
Secondary Data ◽  
Sun Exposure ◽  
Prevalence Ratio ◽  
Northern Coast ◽  
Factors Associated ◽  
Northern Peru ◽  
Skin Phototype

Background Overexposure to ultraviolet (UV) radiation has increased skin cancer incidence and the risk of sunburns, especially during the summer months. Objective Identify the frequency and factors associated with sunburns in a sample of beachgoers in the northern coast of Peru. Methods We conducted a secondary data analysis of a previous study that assessed the awareness, behavior and attitudes concerning sun exposure among beachgoers. We included adults between 18 and 59 years who went to a beach in northern Peru during summer (March 2018). Three generalized linear models of the Poisson family were constructed to evaluate the factors associated with having had at least one sunburn last summer. All regression models reported the adjusted prevalence ratio (aPR) with their respective 95% confidence interval (95% CI). Results Of a total of 402 participants, 225 (56.0%) had one to five sunburns and 25 (6.2%) had six or more. Beachgoers who were 1–15 days (aPR: 1.16, 95% CI [1.05–1.27]) or more than 15 days (aPR: 1.22, 95% CI [1.09–1.36]) exposed to the sun on the beach had a higher frequency of at least one sunburn. The non-regular wearing of a hat or cap also increased the frequency of sunburns (aPR: 1.06, 95% CI [1.01–1.12]). In contrast, those who had Skin Phototype III (aPR: 0.94, 95% CI [0.88–0.99]) or IV (aPR: 0.69, 95% CI [0.63–0.75]) had a lower frequency of sunburns. Conclusion Three out of five beachgoers had one or more sunburns in the last summer. The factors associated with a higher frequency were the time of sun exposure at the beach and the non-regular use of a hat or cap. Type III–IV skin phototypes were associated with a lower sunburn frequency.

Economic burden of readmission due to postoperative cerebrospinal fluid leak in Chinese patients

2020 ◽  
Vol 9 (16) ◽  
pp. 1105-1115
Author(s):  
Shuqing Wu ◽  
Xin Cui ◽  
Shaoyu Zhang ◽  
Wenqi Tian ◽  
Jiazhen Liu ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Generalized Linear Models ◽  
Economic Burden ◽  
Linear Models ◽  
Chinese Patients ◽  
Cerebrospinal Fluid Leakage ◽  
Index Hospitalization ◽  
Real World Data ◽  
Factors Associated ◽  
Hospitalization Cost

Aim: This real-world data study investigated the economic burden and associated factors of readmissions for cerebrospinal fluid leakage (CSFL) post-cranial, transsphenoidal, or spinal index surgeries. Methods: Costs of CSFL readmissions and index hospitalizations during 2014–2018 were collected. Readmission cost was measured as absolute cost and as percentage of index hospitalization cost. Factors associated with readmission cost were explored using generalized linear models. Results: Readmission cost averaged US$2407–6106, 35–94% of index hospitalization cost. Pharmacy costs were the leading contributor. Generalized linear models showed transsphenoidal index surgery and surgical treatment for CSFL were associated with higher readmission costs. Conclusion: CSFL readmissions are a significant economic burden in China. Factors associated with higher readmission cost should be monitored.

scholarly journals Robust Statistical Inference in Generalized Linear Models Based on Minimum Renyi’s Pseudodistance Estimators

Entropy ◽  
2022 ◽  
Vol 24 (1) ◽  
pp. 123
Author(s):  
María Jaenada ◽  
Leandro Pardo
Keyword(s):  
Generalized Linear Models ◽  
Influence Function ◽  
Regression Models ◽  
Linear Models ◽  
Asymptotic Properties ◽  
Significant Loss ◽  
Superior Performance ◽  
Test Statistics ◽  
Linear Regression Models ◽  
Type Test

Minimum Renyi’s pseudodistance estimators (MRPEs) enjoy good robustness properties without a significant loss of efficiency in general statistical models, and, in particular, for linear regression models (LRMs). In this line, Castilla et al. considered robust Wald-type test statistics in LRMs based on these MRPEs. In this paper, we extend the theory of MRPEs to Generalized Linear Models (GLMs) using independent and nonidentically distributed observations (INIDO). We derive asymptotic properties of the proposed estimators and analyze their influence function to asses their robustness properties. Additionally, we define robust Wald-type test statistics for testing linear hypothesis and theoretically study their asymptotic distribution, as well as their influence function. The performance of the proposed MRPEs and Wald-type test statistics are empirically examined for the Poisson Regression models through a simulation study, focusing on their robustness properties. We finally test the proposed methods in a real dataset related to the treatment of epilepsy, illustrating the superior performance of the robust MRPEs as well as Wald-type tests.

scholarly journals Factors associated with breastfeeding in the first year of life in Cruzeiro do Sul, Acre

2021 ◽  
Vol 21 (1) ◽  
pp. 171-177
Author(s):  
Marcielle J Rodrigues ◽  
Lalucha Mazzucchetti ◽  
Paola Soledad Mosquera ◽  
Marly A Cardoso
Keyword(s):  
Skin Color ◽  
Regression Models ◽  
Prevalence Ratio ◽  
Bottle Feeding ◽  
First Year ◽  
Factors Associated ◽  
Robust Variance ◽  
National Estimates ◽  
First Year Of Life

Abstract Objectives: to investigate the factors associated with continued breastfeeding (BF). Methods: All the parturients at a local maternity from July 2015 to June 2016 were invited to participate in a cohort study in Cruzeiro do Sul, Acre. Data on socioeconomic, demographic, obstetric and neonatal of the babies were obtained for the interview. Multiple Poisson regression models with robust variance were used to estimate the prevalence ratio (PR) and 95% confidence intervals (95%CI). Results: among the 1551 mothers contacted, 305 lived in the rural area, leaving 1,246 eligible mothers living in urban area. For the 1-year cohort follow-up, 74 non-twin babies were assessed. Most of the mothers reported to have mixed skin color (79%), are over 21 years old (72°%o), more than 10 years of schooling (72%>) and with unpaying job (54%). The children’s age ranged from 10 to 15 months. The frequency of continued breastfeeding was 69,4%> (95%oCI=66.0-72.6). The factors negatively associated with continued breastfeeding were the use of bottle feeding (PR=1.44; CI95%> =1,33-1.56) and pacifier (PR=2.54; CI95%> =1.98-3.27), after adjusting for maternal age and socioeconomic variables. Conclusion: the frequency of continued breastfeeding in Cruzeiro do Sul was higher than the national estimates, but below the WHO recommendations for breastfeeding up to two years of age.

scholarly journals On the Trends of Registered Birth and Death Rates in Nigeria: Evidence from Generalized Linear Models

2019 ◽  
Author(s):  
Monday Osagie Adenomon ◽  
Emmanuel Chukwuma Anikweze
Keyword(s):  
Generalized Linear Models ◽  
Regression Models ◽  
Linear Models ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Natural Increase ◽  
Negative Binomial Regression Model ◽  
Annual Data ◽  
Death Rates ◽  
Binomial Regression

This study investigated the trends of registered Death and Birth in Nigeria using Generalized Linear Models. Annual data on Death and Birth was collected from National Population Commission for the period of 2004 to 2017. The Natural increase calculated revealed a positive trend in the natural increase in Nigeria from 2004 to 2017. Evidence from summary statistics revealed some level of over dispersion (variance > mean). This study explored Poisson Regression Models and Negative Binomial Regression Models using two links (identity and log). The results revealed a positive increase in registration of birth and death rates in Nigeria and among the competing the models, Negative Binomial regression model with identity link emerged as the best model for modeling birth and death rates registration in Nigeria. Data on numbers of deaths and causes of death are essential if countries are to determine priorities, formulate and monitor policies for public health care as well as other government policies that may be based on such data

scholarly journals Excess Mortality During the COVID-19 Pandemic in Jordan: Secondary Data Analysis (Preprint)

2021 ◽  
Author(s):  
Yousef Khader ◽  
Mohannad Al Nsour
Keyword(s):  
Generalized Linear Models ◽  
Excess Mortality ◽  
Linear Models ◽  
Age Groups ◽  
Secondary Data ◽  
The Elderly ◽  
Standardized Mortality Ratio ◽  
Mortality Ratio ◽  
Health Database ◽  
Excess Deaths

BACKGROUND All-cause mortality and estimates of excess deaths are commonly used in different countries to estimate the burden of COVID-19 and assess its direct and indirect effects. OBJECTIVE This study aimed to analyze the excess mortality during the COVID-19 pandemic in Jordan in April-December 2020. METHODS Official data on deaths in Jordan for 2020 and previous years (2016-2019) were obtained from the Department of Civil Status. We contrasted mortality rates in 2020 with those in each year and the pooled period 2016-2020 using a standardized mortality ratio (SMR) measure. Expected deaths for 2020 were estimated by fitting the overdispersed Poisson generalized linear models to the monthly death counts for the period of 2016-2019. RESULTS Overall, a 21% increase in standardized mortality (SMR 1.21, 95% CI 1.19-1.22) occurred in April-December 2020 compared with the April-December months in the pooled period 2016-2019. The SMR was more pronounced for men than for women (SMR 1.26, 95% CI 1.24-1.29 vs SMR 1.12, 95% CI 1.10-1.14), and it was statistically significant for both genders (<i>P</i>&lt;.05). Using overdispersed Poisson generalized linear models, the number of expected deaths in April-December 2020 was 12,845 (7957 for women and 4888 for men). The total number of excess deaths during this period was estimated at 4583 (95% CI 4451-4716), with higher excess deaths in men (3112, 95% CI 3003-3221) than in women (1503, 95% CI 1427-1579). Almost 83.66% of excess deaths were attributed to COVID-19 in the Ministry of Health database. The vast majority of excess deaths occurred in people aged 60 years or older. CONCLUSIONS The reported COVID-19 death counts underestimated mortality attributable to COVID-19. Excess deaths could reflect the increased deaths secondary to the pandemic and its containment measures. The majority of excess deaths occurred among old age groups. It is, therefore, important to maintain essential services for the elderly during pandemics.

Regression models

2020 ◽  
pp. 65-92
Author(s):  
Bendix Carstensen
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Generalized Linear Models ◽  
Linear Regression Model ◽  
Regression Models ◽  
Linear Models ◽  
General Linear Model ◽  
Simple Linear Regression ◽  
Response Variable ◽  
Quantitative Response

This chapter evaluates regression models, focusing on the normal linear regression model. The normal linear regression model establishes a relationship between a quantitative response (also called outcome or dependent) variable, assumed to be normally distributed, and one or more explanatory (also called regression, predictor, or independent) variables about which no distributional assumptions are made. The model is usually referred to as 'the general linear model'. The chapter then differentiates between simple linear regression and multiple regression. The term 'simple linear regression' covers the regression model where there is one response variable and one explanatory variable, assuming a linear relationship between the two. The chapter also discusses the model formulae in R; generalized linear models; collinearity and aliasing; and logarithmic transformations.

scholarly journals Predictors of engagement and outcome achievement in a behavioural intervention targeting sugar-sweetened beverage intake among rural adults

2019 ◽  
Vol 23 (3) ◽  
pp. 554-563
Author(s):  
Kathleen J Porter ◽  
Jessica L Thomson ◽  
Jamie M Zoellner
Keyword(s):  
Generalized Linear Models ◽  
Linear Models ◽  
Secondary Data ◽  
Behavioural Intervention ◽  
Community Based ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
South West ◽  
Baseline Characteristics ◽  
Number Of Classes

AbstractObjective:To describe relationships among baseline characteristics, engagement indicators and outcomes for rural participants enrolled in SIPsmartER, a behavioural intervention targeting sugar-sweetened beverage (SSB) intake.Design:A secondary data analysis. Bivariate analyses determined relationships among baseline characteristics (e.g. age, gender, race, education, income), engagement indicators (completion of 6-month health screening, class attendance, call completion) and SSB outcomes (SSB ounce reduction (i.e. US fluid ounces; 1 US fl. oz = 29·57 ml), reduced ≥12 ounces, achieved ≤8 ounce intake). Generalized linear models tested for significant effects of baseline characteristics on engagement indicators and of baseline characteristics and engagement indicators on SSB outcomes.Setting:South-west Virginia, USA, a rural, medically underserved region.Participants:Participants’ (n 155) mean age was 41 years; most were female (81 %), White (91 %) and earned ≤$US 20 000 per annum (61 %).Results:All final models were significant. Engagement models predicted 12–17 % of variance, with age being a significant predictor in all three models. SSB outcome models explained 5–70 % of variance. Number of classes attended was a significant predictor of SSB ounce reduction (β = −6·12, P < 0·01). Baseline SSB intake significantly predicted SSB ounce reduction (β = −0·90, P < 0·001) and achieved ≤8 ounce intake (β = 0·98, P < 0·05).Conclusions:The study identifies several participant baseline characteristics that may impact engagement in and outcomes from a community-based intervention targeting SSB intake. Findings suggest greater attendance of SIPsmartER classes is associated with greater reduction in overall SSB intake; yet engagement variables did not predict other outcomes. Findings will inform the future implementation of SIPsmartER and research studies of similar design and intent.

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