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Pregled bibliografske jedinice broj: 1139413

Recognizing elderly women with sleep problems and falls from information on comorbidites and medications in a continuous use


Kokić, Ivana; Martinek, Vjenceslav; Bekić, Sanja; Volarić, Mile; Trtica, Ljiljana Majnarić
Recognizing elderly women with sleep problems and falls from information on comorbidites and medications in a continuous use // Advances in Social Sciences Research Journal, 6 (2019), 9; 1-9 doi:10.14738/assrj.69.7051 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1139413 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Recognizing elderly women with sleep problems and falls from information on comorbidites and medications in a continuous use

Autori
Kokić, Ivana ; Martinek, Vjenceslav ; Bekić, Sanja ; Volarić, Mile ; Trtica, Ljiljana Majnarić

Izvornik
Advances in Social Sciences Research Journal (2055-0286) 6 (2019), 9; 1-9

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
geriatric!syndromes, !women, !sleep!disorders, !falls, !fast!audit, !general!practice

Sažetak
Geriatric syndromes represent new, comprehensive concepts, which can help identifying vulnerable elderly people with multimorbidity. There is also a problem in using the result in a general practice working environment. We suggest fast audit as a method for conducting research on a small scale. The aim of this study was to find out the specific characteristics that can be used for a fast recognition of elderly women who have sleep problems and are susceptible to falls. We conducted a survey on a sample of 105 elderly women (age range 60-80 years, average 68.7±5.1 SD), in a general practice setting, in the town of Osijek, eastern Croatia. The sleep disturbance was identified using the standard Pittsburgh Sleep Quality Index, while information on falls were taken from electronic health records (eHRs) and patient interviews. We used a multiitem questionnaire for socio- demographic characteristics and lifestyle habits. EHRs were used to diagnose problems associated with sleep disturbances and falls, as well as for the use of medication that affect mental functions. We found out that 74.2% of examined women had sleep problems, and 25.7% of them experienced falls in the past two years. Diagnoses that distinguished women with and those without sleep problems included dyspepsia and urinary tract infections (50% vs. 23.1%). Women with sleep problems, compared to those without them, more commonly used two or more medications, usually antidepressants, analgesics and anxiolytics. Lower back pain and osteoporosis were used as screening tools for women susceptible to falls, compared to women without reports of falling. (81.5% vs 61.5% and 22.2% vs. 5.1%). Women with falls had a higher degree of overlapping with sleep disorders (81.5%). Anxiolytics application could be a link between sleep disorders and falls (the overlapping ratio 68%).

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti



POVEZANOST RADA


Ustanove:
Medicinski fakultet, Osijek,
Fakultet za dentalnu medicinu i zdravstvo, Osijek

Profili:

Avatar Url Sanja Bekić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Kokić, Ivana; Martinek, Vjenceslav; Bekić, Sanja; Volarić, Mile; Trtica, Ljiljana Majnarić
Recognizing elderly women with sleep problems and falls from information on comorbidites and medications in a continuous use // Advances in Social Sciences Research Journal, 6 (2019), 9; 1-9 doi:10.14738/assrj.69.7051 (međunarodna recenzija, članak, znanstveni)
Kokić, I., Martinek, V., Bekić, S., Volarić, M. & Trtica, L. (2019) Recognizing elderly women with sleep problems and falls from information on comorbidites and medications in a continuous use. Advances in Social Sciences Research Journal, 6 (9), 1-9 doi:10.14738/assrj.69.7051.
@article{article, author = {Koki\'{c}, Ivana and Martinek, Vjenceslav and Beki\'{c}, Sanja and Volari\'{c}, Mile and Trtica, Ljiljana Majnari\'{c}}, year = {2019}, pages = {1-9}, DOI = {10.14738/assrj.69.7051}, keywords = {geriatric!syndromes, !women, !sleep!disorders, !falls, !fast!audit, !general!practice}, journal = {Advances in Social Sciences Research Journal}, doi = {10.14738/assrj.69.7051}, volume = {6}, number = {9}, issn = {2055-0286}, title = {Recognizing elderly women with sleep problems and falls from information on comorbidites and medications in a continuous use}, keyword = {geriatric!syndromes, !women, !sleep!disorders, !falls, !fast!audit, !general!practice} }
@article{article, author = {Koki\'{c}, Ivana and Martinek, Vjenceslav and Beki\'{c}, Sanja and Volari\'{c}, Mile and Trtica, Ljiljana Majnari\'{c}}, year = {2019}, pages = {1-9}, DOI = {10.14738/assrj.69.7051}, keywords = {geriatric!syndromes, !women, !sleep!disorders, !falls, !fast!audit, !general!practice}, journal = {Advances in Social Sciences Research Journal}, doi = {10.14738/assrj.69.7051}, volume = {6}, number = {9}, issn = {2055-0286}, title = {Recognizing elderly women with sleep problems and falls from information on comorbidites and medications in a continuous use}, keyword = {geriatric!syndromes, !women, !sleep!disorders, !falls, !fast!audit, !general!practice} }

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