Despite the centrality of the construcl ill tht: tield of alcohol and other drug (ADD) addiction, denial remains poorly conceptualized. One reason for this na rrow conceptualization is thc recenl unihncral dcvotion 10 the T ranslhcorctical , \-Iodd (I~r,\ I). In an d'foTl 10 demonstrate denial's thcorc:tica! complexity, the TfM and fin~ additional intuitively appealing theories of denial wi!! be sutlllllari:.:ed. T he strengths and weaknesses of each theory and possible treatment implications based on each theory wi!! also be pre~t:nted. Tht: article concludes with a recommendation for future re~eareh to t:valuatt: multiple theories of denial using consistent and rigorous research methodology in order to de"clop a comprehen~i\"(~ Iheory of denial. 'nlis will promote evolulion of the deductive research proce~~, and el"enlUa!!y lead to the del"e!opment of empirica!)y generated inlen"entions which addres~ the comrk ... nature and etiology of denial.
Depression is a heterogeneous mental disease classified as a set of disorders,
which manifest with a certain duration, frequency and intensity. The prevalence
of depression in the elderly ranges from 0.5 to 16%.OBJECTIVETo establish, in an epidemiological study, the prevalence of significant
depressive symptoms in the population aged 60 years or older.METHODSResults of a cross-sectional epidemiological study, involving home visits,
being carried out in the city of Tremembé, Brazil, were reported. The
sample was randomly selected by drawing 20% of the population over 60 years
from each of the city's census sectors. In this single-phase study, the
assessment included clinical history, physical and neurological examination,
cognitive evaluation, the Cornell scale and the Patient Health Questionnaire
for psychiatric symptoms. Scores greater than or equal to 8 on the Cornell
scale were taken to indicate the presence of depressive symptoms.RESULTSA total of 455 elders were assessed, and of these 169 (37.1%) had clinically
significant depressive symptoms (CSDS). Depression prevalence was higher
among women (p<0.001) and individuals with lower education (p=0.033). The
Chi-square test for trends showed a significant relationship where lower
socioeconomic status was associated with greater likelihood of depressive
symptoms (p=0.005).CONCLUSIONThe prevalence of depressive symptoms was high in this sample of the
population-based study and was associated with female gender, low
educational level and socioeconomic status. The assessment of the entire
population sample must be completed.
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