Sociodemographic factors and choice of oral anticoagulant in patients with non-valvular atrial fibrillation in Sweden: a population-based cross-sectional study using data from national registers

Abstract Background Atrial fibrillation (AF) is often asymptomatic, and screening is not routinely undertaken. Objective Evaluate the feasibility and effectiveness of a population-based case finding program and to identify the enablers of and/or barriers to its implementation. Methods We conducted a cross-sectional study of a health care case finding program for AF from 1 January 2016, to 31 December 2017, that included 48 336 people ≥60 years of age in the region of Terresde l’Ebre (Catalonia, Spain). We analysed the effect on the prevalence of AF and, stratified by age, on the incidence of new diagnoses of AF. We assessed the sociodemographic and clinical variables related to the realization of a case finding. Results A total of 32 090 (62.4%) people were screened for AF. We observed a significant increase in the AF prevalence after 2 years of program intervention (5.9–7.7%; P < 0.001). The detection of new AF cases was significantly higher in the case finding group across the whole of the age range, and 765 (2.6%) new AF cases were diagnosed using case finding. The factors that were significantly associated with an underuse of case finding were: age <70 years, urban residence, institutionalized status, Pfeiffer score ≥2, Charlson score >3 and number of visits <7/year. Conclusions A health care program of case finding is feasible and is associated with a significant increase in the prevalence and incidence of AF. The results depend on factors such as the ease of access to health care, age, place of residence and comorbidities.

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Effects of sociodemographic and socioeconomic factors on stroke development in Lebanese patients with atrial fibrillation: a cross-sectional study

F1000Research ◽

10.12688/f1000research.54236.1 ◽

2021 ◽

Vol 10 ◽

pp. 793

Author(s):

Diana Malaeb ◽

Souheil Hallit ◽

Nada Dia ◽

Sarah Cherri ◽

Imad Maatouk ◽

...

Keyword(s):

Atrial Fibrillation ◽

Economic Status ◽

Sociodemographic Factors ◽

Cross Sectional Study ◽

P Value ◽

Sectional Study ◽

Cross Sectional ◽

Optimal Intervention ◽

Risk Stratification Tool ◽

Physician Diagnosis

Background: Non-communicable diseases, the major cause of death and disability, are susceptible to modifiable and non-modifiable risk factors. Atrial fibrillation (AF) increases the risk of stroke by 4-5 times and can lead to cardiovascular mortality. This study was conducted to assess the effects of different sociodemographic factors on stroke development in patients with AF. Methods: A cross-sectional study was conducted between January and June 2018 on patients recruited from Lebanese community pharmacies. The CHA2DS2-VASc scoring system is utilized as a stroke risk stratification tool in AF patients. Participants with a previous physician diagnosis of AF, documented on medical records, were included in this study. Results: A total of 524 patients were enrolled in the study with a mean age of 58.75 (± SD) ± 13.59 years with hypertension (78.38%) being the most predominant disease. The results showed that obesity (Beta=0.610, p-value =0.011), retirement and unemployment compared to employment (Beta=1.440 and 1.440, p-value=0.001 respectively), divorced/widow compared to married (Beta=1.380, p-value =0.001) were significantly associated with higher CHA2DS2-VASc scores whereas high versus low socio-economic status (Beta=-1.030, p=0.009) and high school education versus primary education level (Beta=-0.490, p-value=0.025) were significantly associated with lower CHA2DS2-VASc scores. Conclusions: The study highlights that the CHA2DS2-VASc score is affected by the presence of various sociodemographic and socioeconomic characteristics in patients with AF. Thus, screening for those factors may predict the progression of cardiovascular disease and may provide an optimal intervention.

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Current status and factors influencing oral anticoagulant therapy among patients with non-valvular atrial fibrillation in Jiangsu province, China: a multi-center, cross-sectional study

BMC Cardiovascular Disorders ◽

10.1186/s12872-020-01330-6 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Ting Liu ◽

Hui-li Yang ◽

Lan Gu ◽

Jie Hui ◽

Ojo Omorogieva ◽

...

Keyword(s):

Atrial Fibrillation ◽

Anticoagulant Therapy ◽

Oral Anticoagulant ◽

Oral Anticoagulant Therapy ◽

Cross Sectional Study ◽

Jiangsu Province ◽

Current Status ◽

Sectional Study ◽

Cross Sectional ◽

Factors Influencing

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Actual Use of Medications Prescribed During Pregnancy: A Cross-Sectional Study Using Data from a Population-Based Congenital Anomaly Registry

Drug Safety ◽

10.1007/s40264-015-0302-z ◽

2015 ◽

Vol 38 (8) ◽

pp. 737-747 ◽

Cited By ~ 18

Author(s):

Linda de Jonge ◽

Hermien E. K. de Walle ◽

Lolkje T. W. de Jong-van den Berg ◽

Irene M. van Langen ◽

Marian K. Bakker

Keyword(s):

Congenital Anomaly ◽

Population Based ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Actual Use ◽

Using Data

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Prevalence of excessive screen time and its association with developmental delay in children aged <5 years: A population-based cross-sectional study in India

PLoS ONE ◽

10.1371/journal.pone.0254102 ◽

2021 ◽

Vol 16 (7) ◽

pp. e0254102

Author(s):

Samya Varadarajan ◽

Akila Govindarajan Venguidesvarane ◽

Karthik Narayanan Ramaswamy ◽

Muthukumar Rajamohan ◽

Murugesan Krupa ◽

...

Keyword(s):

Child Development ◽

Developmental Delay ◽

Screen Time ◽

Tamil Nadu ◽

Sociodemographic Factors ◽

Population Based ◽

Cross Sectional Study ◽

Language Delay ◽

Sectional Study ◽

Cross Sectional

The global growth of electronic media usage among children has caused concerns regarding screen time (ST) impact on child development. No previous population-based studies have evaluated ST and child development in India. This study aimed to determine the burden of ST, associated sociodemographic factors, and its impact on domains of child development. A population-based cross-sectional study was conducted in the field practice area of rural and urban health centers in Tamil Nadu, India. A total of 718 children (396 rural and 322 urban) were selected, using a cluster random sampling method. ST estimates were obtained from parents/guardian after a 7-day observation period. The Communication DEALL Developmental Checklist was used to assess child development. The mean ST was 2.39 hours/day (95% confidence interval [CI]: 2.23–2.54), and the prevalence of excessive ST was 73% (95% CI: 69.2–76.8). Excessive ST was significantly associated with the mothers’ ST, screen usage at bedtime, birth order (in children < 2 years), and attending school (in children ≥ 2 years). Increased ST was significantly associated with developmental delay, in particular, in the domains of language acquisition and communication. In children aged ≥ 2 years, a delay in ≥ 3 domains was associated with ST (adjusted odds ratio [AOR] = 17.75, 95% CI: 5.04–62.49, p < 0.001), as was language delay (AOR = 52.92, 95% CI: 12.33–227.21, p < 0.001). In children aged < 2 years, a delay in ≥ 2 domains was associated with ST (AOR = 16.79, 95% CI: 2.26–124.4, p < 0.001), as was language delay (AOR = 20.93, 95% CI: 2.68–163.32, p < 0.01). A very high prevalence of excessive ST was identified, with a significant association with developmental delay in children. There is an urgent need to include education on ST limits at the primary healthcare level.

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