scholarly journals The concept of buying-shopping disorder: Comparing latent classes with a diagnostic approach for in-store and online shopping in a representative sample in Switzerland

2020 ◽  
Vol 9 (3) ◽  
pp. 808-817
Author(s):  
Mareike Augsburger ◽  
Andreas Wenger ◽  
Severin Haug ◽  
Sophia Achab ◽  
Yasser Khazaal ◽  
...  
Keyword(s):  
Latent Class ◽  
Online Shopping ◽  
Multinomial Logistic Regression ◽  
Test Model ◽  
Close Link ◽  
Younger Women ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
Model Equivalence ◽  
Distinguishing Features

AbstractBackground and aimsBuying-shopping disorder and its transferability to the online sector is controversial. This study investigates in-store and online shopping patterns by comparing data-based modeling to a diagnostic cut-off approach. Further aims were to test model equivalence for gender and identify socio-demographic risk factors.MethodsIn a representative survey, the Bergen Shopping Addiction Scale (BSAS) was applied, using both an online and in-store version. Latent class analyses were followed by multinomial logistic regression analyses to investigate socio-demographic variables. Measurement invariance across genders was tested with multi-group comparisons.ResultsWith N = 1,012, 3-class solutions provided the best model fit for both in-store and online shopping. Most individuals (76, 86%) were grouped in non-addicted classes, followed by risky (21, 11%) and addicted classes (both 3%). Twenty-eight percent of individuals in the online addicted shopping class remained unidentified using the cut-off. For online shopping, only lower age and education differentiated classes significantly.DiscussionResults indicate a close link between online and in-store shopping, albeit with distinguishing features. The cut-off yielded findings discrepant from class probabilities. That buying-shopping disorder mainly affects younger women of lower educational level must be questioned, given the limited associations identified.ConclusionsIt is important not only to consider different settings of pathological shopping, but also to focus on groups that may not have appeared at risk in previous investigations (e.g., men, older age). The BSAS cut-off warrants further research.

scholarly journals Prevalence and Demographic Risk Factors of Mycobacterium tuberculosis Infections in Captive Asian Elephants (Elephas maximus) Based on Serological Assays

2021 ◽  
Vol 8 ◽  
Author(s):  
Taweepoke Angkawanish ◽  
Hans J. C. M. Vernooij ◽  
Anucha Sirimalaisuwan ◽  
Mirjam Nielen ◽  
Pattara Charernpan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Test Performance ◽  
Latent Class ◽  
Good Condition ◽  
The Other ◽  
Screening Tests ◽  
Serology Test ◽  
The Individual ◽  
Demographic Risk ◽  
Demographic Risk Factors

To address putative TB statuses of elephants and to identify and quantify potential demographic risk factors for TB, three ELISAs specific for different mycobacterial antigens (ESAT6, CFP10, MPB83) and the TB Stat-Pak assay were used as surrogate serological markers for TB infection in elephants. In view of the low number of animals of which the infected status could be confirmed (4 out of 708) Latent Class Analyses of TB serology test outcomes was used to predict the putative TB status of each of 708 elephants as positive (17.3%), inconclusive (48.7%), or negative (34%) when assessed on a population basis. Correlation between test performance of the individual assays was high between the ELISAs, but low with that of the TB Stat-Pak assay. Risk factors, assessed based on cut off values for each of the ELISAs determined by ROC analysis, included sex, BCS, age, working time, feed type, management system, camp size and region. Old age elephants were more likely to show a positive TB serology test outcome, than younger ones. Elephants working 7 h per day and the ones in good condition BCS (7–11) were less likely to be positive in TB serology testing. In addition, fewer animals in the large camp size (31–50 elephants) were found to be positive in ELISA tests, compared to elephants in the other camp sizes. In this study, the North region had the lowest percentages of elephants with positive TB test outcome, the West region and to a lesser extend the other regions showed clearly higher percentages of positive animals. Even though assays used in the present study have not been validated yet, results obtained showed promise as diagnostic or screening tests. For the diagnosis of animals suspected to be infected, the ELISA tests, once further optimized for the individual antigens, can be used in parallel. For screening of complete camps for presence or absence of infection, a single optimized ELISA test can be utilized.

scholarly journals Identifying classes of the pain, fatigue, and depression symptom cluster in long-term prostate cancer survivors—results from the multi-regional Prostate Cancer Survivorship Study in Switzerland (PROCAS)

2021 ◽  
Author(s):  
Salome Adam ◽  
Melissa S. Y. Thong ◽  
Eva Martin-Diener ◽  
Bertrand Camey ◽  
Céline Egger Hayoz ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Depressive Symptoms ◽  
Cancer Survivorship ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Symptom Cluster ◽  
Depression Symptom ◽  
Class 1 ◽  
Eortc Qlq

Abstract Purpose Aside from urological and sexual problems, long-term (≥5 years after initial diagnosis) prostate cancer (PC) survivors might suffer from pain, fatigue, and depression. These concurrent symptoms can form a cluster. In this study, we aimed to investigate classes of this symptom cluster in long-term PC survivors, to classify PC survivors accordingly, and to explore associations between classes of this cluster and health-related quality of life (HRQoL). Methods Six hundred fifty-three stage T1-T3N0M0 survivors were identified from the Prostate Cancer Survivorship in Switzerland (PROCAS) study. Fatigue was assessed with the EORTC QLQ-FA12, depressive symptoms with the MHI-5, and pain with the EORTC QLQ-C30 questionnaire. Latent class analysis was used to derive cluster classes. Factors associated with the derived classes were determined using multinomial logistic regression analysis. Results Three classes were identified: class 1 (61.4%) – “low pain, low physical and emotional fatigue, moderate depressive symptoms”; class 2 (15.1%) – “low physical fatigue and pain, moderate emotional fatigue, high depressive symptoms”; class 3 (23.5%) – high scores for all symptoms. Survivors in classes 2 and 3 were more likely to be physically inactive, report a history of depression or some other specific comorbidity, be treated with radiation therapy, and have worse HRQoL outcomes compared to class 1. Conclusion Three distinct classes of the pain, fatigue, and depression cluster were identified, which are associated with treatment, comorbidities, lifestyle factors, and HRQoL outcomes. Improving classification of PC survivors according to severity of multiple symptoms could assist in developing interventions tailored to survivors’ needs.

scholarly journals Cardio-metabolic and socio-demographic risk factors associated with dependency in basic and instrumental activities of daily living among older Iranian adults: Bushehr elderly health program

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kazem Khalagi ◽  
Akram Ansarifar ◽  
Noushin Fahimfar ◽  
Mahnaz Sanjari ◽  
Safoora Gharibzdeh ◽  
...  
Keyword(s):  
Physical Activity ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Education Level ◽  
Lower Education Level ◽  
History Of ◽  
Elderly Health ◽  
Lower Education ◽  
Demographic Risk ◽  
Demographic Risk Factors

Abstract Background Iran’s population is aging. Disability is a major public health problem for older adults, not only in Iran but all over the world. The purpose of this study was to investigate the relationship between cardio-metabolic and socio-demographic risk factors and disability in people 60 years and older in Iran. Methods The baseline (cross-sectional) data of 2426 samples from the Bushehr Elderly Health (BEH) program was included in the analysis. The participants were selected through multi-stage random sampling in Bushehr, southern Iran. Socio-demographic characteristics, as well as the history of diabetes and other chronic diseases, and smoking were measured using standardized questionnaires. Anthropometric measurements and laboratory tests were performed under standard conditions. Dependency was determined by the questionnaires of basic activities of daily living (BADL) and instrumental activities of daily living (IADL) using Barthel and Lawton scales respectively. Multiple logistic regression was used in the analysis. Results Mean (Standard Deviation) of the participants’ age was 69.3 (6.4) years (range: 60 and 96 years), and 48.1% of the participants were men. After adjusting for potential confounders, being older, being female (OR (95%CI): 2.3 (1.9–2.9)), having a lower education level, a history of diabetes mellitus (OR: 1.4 (1.2–1.7)) and past smoking (OR: 1.3 (1.0–1.6)), and no physical activity (OR: 1.5 (1.2–1.9)) were significantly associated with dependency in IADL. Also, being older and female (OR: 2.4 (1.9–3.0)), having a lower education level, no physical activity (OR: 2.2 (1.6–2.9)) and daily intake of calories (OR: 0.99 (0.99–0.99)) were associated with dependency in BADL. Conclusion Dependency in older adults can be prevented by increasing community literacy, improving physical activity, preventing and controlling diabetes mellitus, avoiding smoking, and reducing daily calorie intake.

Clinical and Demographic Risk Factors for COVID-19 during Delivery Hospitalizations in New York City

2021 ◽  
Author(s):  
Desmond Sutton ◽  
Timothy Wen ◽  
Anna P. Staniczenko ◽  
Yongmei Huang ◽  
Maria Andrikopoulou ◽  
...  
Keyword(s):  
Risk Factors ◽  
New York ◽  
New York City ◽  
Logistic Regression ◽  
York City ◽  
Demographic Data ◽  
Outcome Data ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
Zip Code

Objective This study was aimed to review 4 weeks of universal novel coronavirus disease 2019 (COVID-19) screening among delivery hospitalizations, at two hospitals in March and April 2020 in New York City, to compare outcomes between patients based on COVID-19 status and to determine whether demographic risk factors and symptoms predicted screening positive for COVID-19. Study Design This retrospective cohort study evaluated all patients admitted for delivery from March 22 to April 18, 2020, at two New York City hospitals. Obstetrical and neonatal outcomes were collected. The relationship between COVID-19 and demographic, clinical, and maternal and neonatal outcome data was evaluated. Demographic data included the number of COVID-19 cases ascertained by ZIP code of residence. Adjusted logistic regression models were performed to determine predictability of demographic risk factors for COVID-19. Results Of 454 women delivered, 79 (17%) had COVID-19. Of those, 27.9% (n = 22) had symptoms such as cough (13.9%), fever (10.1%), chest pain (5.1%), and myalgia (5.1%). While women with COVID-19 were more likely to live in the ZIP codes quartile with the most cases (47 vs. 41%) and less likely to live in the ZIP code quartile with the fewest cases (6 vs. 14%), these comparisons were not statistically significant (p = 0.18). Women with COVID-19 were less likely to have a vaginal delivery (55.2 vs. 51.9%, p = 0.04) and had a significantly longer postpartum length of stay with cesarean (2.00 vs. 2.67days, p < 0.01). COVID-19 was associated with higher risk for diagnoses of chorioamnionitis and pneumonia and fevers without a focal diagnosis. In adjusted analyses, including demographic factors, logistic regression demonstrated a c-statistic of 0.71 (95% confidence interval [CI]: 0.69, 0.80). Conclusion COVID-19 symptoms were present in a minority of COVID-19-positive women admitted for delivery. Significant differences in obstetrical outcomes were found. While demographic risk factors demonstrated acceptable discrimination, risk prediction does not capture a significant portion of COVID-19-positive patients. Key Points

scholarly journals Iron deficiency in Massachusetts communities: Socioeconomic and demographic risk factors among children.

1996 ◽  
Vol 86 (4) ◽  
pp. 544-550 ◽  
Author(s):  
J D Sargent ◽  
T A Stukel ◽  
M A Dalton ◽  
J L Freeman ◽  
M J Brown
Keyword(s):  
Risk Factors ◽  
Iron Deficiency ◽  
Demographic Risk ◽  
Demographic Risk Factors
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