32 research outputs found

    Eestis töötavad Ôed ja arstid vananevad

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    Taust ja eesmĂ€rk. KĂŒmme aastat tagasi koostati arstide ja Ă”dede arvu prognoosid aastaks 2032 ja siis oli suurimaks mureks nii arstide kui ka Ă”dede lahkumine tööle vĂ€lismaale. KĂ€esoleva uuringu eesmĂ€rk oli kirjeldada ajavahemikul 2012–2021 toimunud muutusi Eestis töötavate Ă”dede ja arstide arvus ning vanuselises koosseisus ja selle alusel hinnata koolitusvajadust lĂ€himaks aastakĂŒmneks.Metoodika. Terviseameti tervishoiutöötajate registrist tehti Ă”dede ja arstide nimelised vĂ€ljavĂ”tted 2021. aasta aprilli seisuga ja lingiti need 2012. aasta aprillis kĂŒsitud andmetega, et hinnata Ă”dede ja arstide töölt lahkumist ning tööle asumist sĂ”ltuvalt vanusest.Tulemused. VĂ”rreldes 2012. aastaga on Eesti tervishoiusĂŒsteemis töötavate Ă”dede keskmine vanus suurenenud 4 aasta vĂ”rra ja ĂŒle 65aastaste osakaal töötavate Ă”dede koguarvust on kahekordistunud (6%-lt 12%-le). Töökohaga Ă”dede koguarv on suurenenud 1487 vĂ”rra ja seda mitte uute Ă”dede lisandumise arvel. Eesti raviasutustesse on tööle naasnud 649 Ă”de, kes vahepeal töötasid mujal, ja pensioniikka jĂ”udnud Ă”ed jĂ€tkavad töötamist (lisandus 674 pensioniealist Ă”de). Eesti raviasutustes töötavate alla 65aastaste arstide arv on kogu iseseisvuse taastamise jĂ€rgse aja pidevalt vĂ€henenud, kuid arstide koguarv on pĂŒsinud samal tasemel, sest pensioniealiseks saanud arstid jĂ€tkavad töötamist. VĂ”rreldes 2012. aastaga on Eesti tervishoiusĂŒsteemis töötavate ĂŒle 65aastaste arstide osakaal suurenenud 17%-lt 25%-le.JĂ€reldused. Et kahekĂŒmne aasta pĂ€rast oleks Eesti raviasutustes tööl 9 Ă”de 1000 inimese kohta, tuleb kohe kahekordistada Ă”endusĂ”ppe vastuvĂ”ttu 700–800 Ă”ppekohani aastas ja loota, et vĂ€ljaĂ”petatud Ă”dede tööleasumine vĂ€lisriikidesse ei suurene. JĂ€rgmised kakskĂŒmmend aastat pidurdab Eesti tervishoiusĂŒsteemi arengut parimas tööeas arstide defitsiit ja ainult noorte arstide piisavalt arvukas ettevalmistus suudab seda osaliselt leevendada ning tagada arstide ĂŒhtlane vanuseline koosseis

    Laste allaneelatud magnetid: kirjanduse ĂŒlevaade ja Tallinna Lastehaigla haigusjuhtude analĂŒĂŒs

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    Laste allaneelatud vÔÔrkehad on suhteliselt sage erakorralise meditsiini osakonda pöördumise pĂ”hjus. Magnetid moodustavad vÔÔrkehadest erilise rĂŒhma, kuna juhul kui soolesein kogupaksuses vĂ”i ka ainult limaskest jÀÀb magnetite vahele kinni, vĂ”ib survest tekkida sooleseina kahjustus: mulgustumine, soolesulgus vĂ”i uuriste moodustumine soolelingude vĂ”i soolelingu ja muu seedetrakti osa vahel. Oht on eriti suur seoses nn supermagnetitega. Artiklis on esitatud allaneelatud magneteid kĂ€sitleva kirjanduse ĂŒlevaade ning analĂŒĂŒsitud 12 Tallinna Lastehaigla haigusjuhtu – pöördumise pĂ”hjuseid, diagnoosimist ja rakendatud ravivĂ”tteid ning -tulemusi. Kahe vĂ”i enama allaneelatud magnetiga patsiendi kĂ€situs on erakorraline, esmane eesmĂ€rk on magnetid seedetraktist endoskoopiliselt eemaldada. Selle ebaedu korral vĂ”ib haigusnĂ€htudeta lapsi jĂ€lgida, soovitatavalt lastekirurgia osakonnas, kuna tĂŒsistuste tekkimine on vĂ€ga tĂ”enĂ€oline. Magnetitega kaasnevatest ohtudest peab jĂ€tkuvalt teavitama nii lapsevanemaid kui ka meditsiinipersonali

    Opioidide vĂ€ljakirjutamise suundumused Eestis 2011–2017

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    Eesti Arst 2020; 99(10):647 &nbsp

    Metabolomics reveals a link between homocysteine and lipid metabolism and leukocyte telomere length: the ENGAGE consortium

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    Telomere shortening has been associated with multiple age-related diseases such as cardiovascular disease, diabetes, and dementia. However, the biological mechanisms responsible for these associations remain largely unknown. In order to gain insight into the metabolic processes driving the association of leukocyte telomere length (LTL) with age-related diseases, we investigated the association between LTL and serum metabolite levels in 7,853 individuals from seven independent cohorts. LTL was determined by quantitative polymerase chain reaction and the levels of 131 serum metabolites were measured with mass spectrometry in biological samples from the same blood draw. With partial correlation analysis, we identified six metabolites that were significantly associated with LTL after adjustment for multiple testing: lysophosphatidylcholine acyl C17:0 (lysoPC a C17:0, p-value = 7.1 × 10−6), methionine (p-value = 9.2 × 10−5), tyrosine (p-value = 2.1 × 10−4), phosphatidylcholine diacyl C32:1 (PC aa C32:1, p-value = 2.4 × 10−4), hydroxypropionylcarnitine (C3-OH, p-value = 2.6 × 10−4), and phosphatidylcholine acyl-alkyl C38:4 (PC ae C38:4, p-value = 9.0 × 10−4). Pathway analysis showed that the three phosphatidylcholines and methionine are involved in homocysteine metabolism and we found supporting evidence for an association of lipid metabolism with LTL. In conclusion, we found longer LTL associated with higher levels of lysoPC a C17:0 and PC ae C38:4, and with lower levels of methionine, tyrosine, PC aa C32:1, and C3-OH. These metabolites have been implicated in inflammation, oxidative stress, homocysteine metabolism, and in cardiovascular disease and diabetes, two major drivers of morbidity and mortality

    Sissejuhatus varjatud Markovi ahelatesse

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    https://www.ester.ee/record=b5436142*es

    Cigarette smoking and smoking-attributable diseases among Estonian physicians: a cross-sectional study

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    Abstract Background Smoking is a risk factor for several diseases. Physicians are role models for their patients. Physicians who smoke underestimate the health risks of smoking and may be less likely to offer advice to help their patients to quit. The aim of this study was to: provide an overview of smoking behaviour among Estonian physicians; assess the relationship between smoking and ischaemic heart disease (IHD), chronic bronchitis (CB), and lung emphysema (LE); and estimate fractions of prevalences of the three diseases attributable to smoking. Methods Self-administered questionnaires were sent to practising physicians (n = 5666) in Estonia in 2014. Prevalence of smoking and relative risks for IHD, CB and LE as well as the risks of IHD, CB and LE attributable to smoking were calculated by age and sex. Post-stratification was used to compensate non-response. Results There were 535 male and 2404 female physicians participating. The prevalence of daily smoking was 12.4% (95% CI 10.4–14.4%) among men and 5.0% (95% CI 4.4–5.6%) among women. Mean duration of smoking among male and female daily smokers was 28.6 (95% CI 26.1–31.1) and 28.6 (95% CI 27.1–30.2) years. Compared to lifelong non-smokers, the age-adjusted risk for IHD was 1.29 times (95% CI 0.88–1.89) higher for men, but 1.69 times (95% CI 1.17–2.40) lower for all women who have ever smoked. The risk for CB was 2.29 (95% CI 1.30–4.03) times higher for smokers among men and, 1.32 (95% CI 0.95–1.82) among women; the risk ratio for LE was 4.92 (95% CI 1.14–21.1) among men and 2.45 (95% CI 0.63–9.52) among women. The smoking-attributable risk for IHD was 3.2% (95% CI 2.3–4.1%) among men and − 0.1% (95% CI -0.7–0.4%) among women; for CB 6.9% (95% CI 6.0–7.8%) and 4.2% (95% CI 3.5–4.8%); and for LE 18.8% (95% CI 17.0–22.5%) and 22.6% (95% CI 18.5–26.9%), respectively. Conclusion Prevalence of daily smoking was relatively low among Estonian physicians (and twice lower among female physicians). The risk attributable to smoking was higher for LE and CB than for IHD

    Prevalence of injecting drug use in Estonia 2010–2015: a capture-recapture study

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    Abstract Background It has been observed in an earlier study that the number of people who inject drugs (PWID) in Estonia is declining. We provide nationwide estimates of the number of PWID in Estonia for years 2010–2015 and compare different modelling strategies to minimise over-coverage-induced bias in capture-recapture estimates. Methods We obtained data from the Estonian Causes of Death Registry (DR) for opioid-related deaths, the Estonian Health Insurance Fund (HIF) for opioid-related overdose and drug dependence treatment episodes, and the Estonian Police and Border Guard Board (PB) drug-related misdemeanours. Datasets were linked by identifier based on sex, date of birth, and initials; a capture-recapture method was used to estimate the number of PWID aged 15 or more, each year from 2010 to 2015. Log-linear regression maximum likelihood (ML) and Bayesian methods were used; over-coverage of police data was accounted for. Results The annual population size estimates of the number of PWID (aged 15 and over) varied from 6000 to 17,300 (ML estimates not accounting for over-coverage of PB) to 1500–2300 (Bayesian estimates accounting for over-coverage). Bayesian estimates indicated a slight decrease in the number of PWID, and the median estimates were > 2000 in years 2010–2012 and < 1800 in years 2013–2015. Conclusions Over-coverage of a registry can have a great impact on the estimates of the size of the target population. Bayesian estimates accounting for this over-coverage may provide better estimates of the target population size

    Additional file 1: of Cigarette smoking and smoking-attributable diseases among Estonian physicians: a cross-sectional study

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    Weighted counts. Weighted counts of study participants by sex, age, smoking status, smoking duration, presence of ischaemic heart disease, lung emphysema and chronic bronchitis. (XLSX 129 kb

    Another frontier for harm reduction: contraceptive needs of females who inject drugs in Estonia, a cross-sectional study

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    Abstract Background Despite increasing contraceptive availability, unintended pregnancy remains a global problem. Developing strategies to reverse this trend and increasing occurrence of withdrawal syndrome among newborn children of females currently injecting drugs warrants special attention. The knowledge base on the uptake of effective contraception among females who inject drugs (FWID) is scant. We aimed to examine the prevalence of and factors associated with the use of non-condom contraceptives among sexually active FWID with the focus on effective contraception. Methods In a series of cross-sectional studies (2007–2013), 265 current FWID were recruited through respondent-driven sampling (RDS), interviewed, and tested for HIV. RDS weights were used to estimate the prevalence of effective contraception (hormonal contraception, intrauterine device, sterilization) use in the last 6 months. Results Of the sexually active women with main partners (n = 196) 4.8% (95% CI 2.3–9.7) were using effective contraception, 52.7% (95% CI 42.5–62.7) less-effective or no contraception. 42.5% (95% CI 32.7–52.9) relied on condoms for contraception. The odds for using effective contraception were higher among women with > 10 years of education (OR 7.29, 95% CI 1.4–38.8). None of the women lacking health insurance (n = 84) were using effective contraception. Conclusions The very low coverage with effective contraception highlights the need to improve contraceptive services for FWID. Reproductive health service including contraception should be considered essential components of harm reduction and of comprehensive prevention and care for HIV among persons who use drugs
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