PO03-MO-01 Stroke awareness among Estonian population

2009 ◽  
Vol 285 ◽  
pp. S166
Author(s):  
J. Kõrv ◽  
R. Vibo ◽  
S. Schneider ◽  
L. Kõrv ◽  
M. Väli ◽  
...  
Keyword(s):  
Stroke Awareness ◽  
Estonian Population

scholarly journals Grandparents and great-grandparents in Estonian population

2018 ◽  
Vol 27 (2) ◽  
pp. 95-104
Author(s):  
Ene-Margit Tiit
Keyword(s):  
Life Expectancy ◽  
21St Century ◽  
Men And Women ◽  
The Stability ◽  
Demographic Behaviour ◽  
Estonian Population

The paper estimates the probability of living until the age of a grandparent and a great-grandparent in different cohorts of Estonian population. The objects of comparison are men and women born in 1939, 1959, 1989 and nowadays (2016). It turned out that (assuming the stability of demographic behaviour) people born in 1989 have the highest probability to see the grandchildren and also great-grandchildren. In the case of people born in 21st century, the probability is going down in spite of increasing life expectancy. The reason for this feature is massive postponing of family creation.

Abstract TP199: Stroke Awareness in Argentina, the Sifhon Population Survey

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Daiana E Dossi ◽  
Maximiliano A Hawkes ◽  
Mauricio F Farez ◽  
Maia M Gomez Schneider ◽  
Nicolas A Torres ◽  
...  
Keyword(s):  
Risk Factors ◽  
Distribution System ◽  
Population Survey ◽  
Large Population ◽  
Family Doctor ◽  
Specific Treatment ◽  
Signs And Symptoms ◽  
Warning Signs ◽  
Public Media ◽  
Stroke Awareness

Introduction: Stroke awareness in Latin America is scant. We conducted a large population survey in 13 provinces in Argentina to assess knowledge of cerebrovascular disease. Methods: We distributed 110,000 multiple-choice anonymous questionnaires using the house distribution system of a bottled water dispensing company, assessing information regards age, gender, educational level, general stroke information, attitude towards symptoms and treatment. Percentages of each choice were recorded for every question and a multivariate analysis was performed. Results: A total of 12,710 surveys were returned, age 51±17 years, 69% women. Almost 95% reported prior knowledge of the disease, 50% through public media, 37% through a relative/friend that had a stroke and 8% through their family doctor. The Spanish acronym for accidente cerebrovascular , ACV, was the most frequently identified name for stroke (79%), the Spanish equivalent to cerebral attack was used by 7% and 0,4% used the term “ictus”. Only 29% knew about TIA but 69% identified stroke risk factors. Although 73% recognized their signs and symptoms, 11% misinterpreted them as a heart attack and 34% ignored that stroke can present with severe headache. Although 73% considered the disease potentially disabling/fatal, 40% ignored its frequency. If symptoms, 25% would call 911 and 50% would go to an emergency room by own means. Only 63% knew the existence of a specific treatment. Lowest degree of knowledge was seen in young, single, non-university men. Conclusion: This study represents the largest general public stroke awareness survey in Spanish speaking populations. Respondents showed excellent recognition of risk factors, warning signs and need of a rapid response. The population had little knowledge of prevalence, severity, TIA, and acute treatment. Public media appear to have an essential role in education.

scholarly journals Households and families in Estonian population

2020 ◽  
Vol 29 (1) ◽  
pp. 86-104
Author(s):  
Ene-Margit Tiit
Keyword(s):  
Young People ◽  
Married Couple ◽  
Age Groups ◽  
Household Type ◽  
Men And Women ◽  
First Marriage ◽  
Age At First Marriage ◽  
Single Person ◽  
Estonian Population ◽  
Size And Structure

The statistical distribution of households and families by their size and structure can be received from population and household censuses, but it is also important to know this information between the censuses, as changes during the ten-year period can be quite remarkable. It is demonstrated that, since the last census in Estonia in 2011, the share of older age-groups has increased and the rate of children – decreased. The age at first marriage has increased for men and women respectively by 3 and 4 months per year. Consequently, the share of young people living without a partner has increased, but the process is different in men and women. The number of divorces has dropped, but this seems to be caused by the decline of marriages during the last decades. The age of women giving birth has also increased. During the last years, the number of third children has increased, but the number of first children has decreased. The distribution of households by their types was also studied and is presented in Table 1. It is evident that about one-sixth of the population lives alone; single-person households form the most numerous household type in present-day Estonia. From all households containing a couple, somewhat more than two-thirds are households with a married couple, others are households with a cohabiting couple. In average, the first ones are much older than the second ones. The number of households where two or more generations live together is marginal.

Abstract TMP99: Farmalarm: App for Mobile Devices Improves Risk Factor Control After Stroke

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Marc Ribo ◽  
Estefania montiel ◽  
Estela Sanjuan ◽  
Mireia Sanchis ◽  
Marta Rubiera ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Medical Staff ◽  
Healthy Lifestyle ◽  
Medication Compliance ◽  
Treatment Compliance ◽  
Lifestyle Changes ◽  
Stroke Patients ◽  
Risk Factor Control ◽  
Stroke Awareness

Risk factor control and treatment compliance in the following months after stroke are often poor. We aim to validate a digital platform for smartphones designed to raise awareness in patients about the need to perform healthy lifestyle changes, improve communication with medical staff and increase treatment compliance Methods: Farmalarm is an app for smartphones designed to increase stroke awareness by: medication visual alerts and compliance control, chat communication with medical staff, sharing didactic video files, exercise monitoring... Stroke patients discharged home were screened for participation and divided in two groups: to follow the FARMALARM program during 3-4 weeks or standard of care follow-up. We determined risk factor control goals at 90 days in all patients Results: During 16 months, from the 457 patients discharged home, 126 (27.6%) were included in the study: Farmalarm n=74; age 57±12, Control n=52, age 59±10. There were no significant differences in baseline characteristics between groups. Patients in Farmalarm group followed the program for 23±6 days after discharge. In Farmalarm group, mean number alarms due to medication intake failure dropped from 68.5% in the first week to 44.6% in the third week (p=0.03). At 90 days, achievement of risk factor control was higher in the FARMALARM group (table). The rate of patients with 4/4 risk factors under control was higher in the FARMALARM group (45.3% Vs 22.5%; p=0.02) (graph) and less patients dropped all medications at 3 months in the Farmalarm group (1.5% Vs 8.16%:p=0.05). A regression model adjusted for age and gender showed that the only variable independently associated with all risk factors under control at 90 days was the use of Farmalarm (OR: 4.7; 95% CI:1.1-6.9;p=0.03). Conclusion: In stroke patients discharged home the use of mobile applications to monitor medication compliance and increase stroke awareness is feasible and seems to improve the control of vascular risk factors.

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