[Aspects of morbidity in institutionalized adults].
In the last decades, the lifespan at elderly persons increased significantly, so they have the tendency to develop much comorbidities. In this situation, a correct and early assessment of the comorbities, that complicates the management of the medical case, may represent an efficient approach.


METHODS
This study intended to evaluate the present health status of a group of 74 institutionalized adults, mainly elderly (3 quarters) and women (52.7%) assisted in a special elderly institution from Suceava County.


RESULTS
Most of the institutionalized elderly come from countryside and they suffer from different degrees of disability (43.24%). The average period of institutionalization is 6 years and 5 months and nine major categories of diagnostic were identified by the measurement of comorbidity, using ICD-10-AM. Between man and women were not identified significant statistical differences regarding the disabilities distribution and the average length of stay in institution. Assisted men are affected more, by comparison with the women, just from respiratory disease (p = 0.0049). There are no significant differences between the number of assisted men and women with different levels of comorbidities.


CONCLUSIONS
At special elderly services appeal especially women from countryside, which last in the institution more than women from urban area, and are less affected of respiratory disease than men.
Sădean
D F
DF
Universităţii de Medicină şi Farmacie Gr. T. Popa Iaşi.
Gavăt
Viorica
V
D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D015577:Geriatric Assessment; D006304:Health Status; D006707:Homes for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D007326:Institutionalization / Q000706:statistics & numerical data*; D038801:International Classification of Diseases; D007902:Length of Stay / Q000706:statistics & numerical data; D008297:Male; D009735:Nursing Homes / Q000706:statistics & numerical data*; D012383:Romania / Q000453:epidemiology; D012424:Rural Population / Q000706:statistics & numerical data; D014505:Urban Population / Q000706:statistics & numerical data