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  • 1
    Online Resource
    Online Resource
    Cambridge University Press (CUP) ; 2012
    In:  International Psychogeriatrics Vol. 24, No. 1 ( 2012-01), p. 74-81
    In: International Psychogeriatrics, Cambridge University Press (CUP), Vol. 24, No. 1 ( 2012-01), p. 74-81
    Abstract: Background: Anemia and dementia are common diseases among the elderly, but conflicting data are available regarding an association between these two conditions. We analyzed data from the São Paulo Ageing & Health Study to address the relationship between anemia and dementia. Methods: This cross-sectional observational study included participants aged 65 years and older from a deprived area of the borough of Butantan, São Paulo, Brazil. Data about demographics, education, income, and cognitive and daily life function were collected, as well as blood samples. Anemia and dementia were defined according to WHO and DSM-IV criteria, respectively. Results: Of the 2267 subjects meeting the inclusion criteria, 2072 agreed to participate in the study; of whom 1948 had a valid total blood count and were included in the analysis. Anemia was diagnosed in 203 (10.2%) participants and dementia in 99 (5.1%). The frequency of anemia was higher in patients with dementia according to univariate analysis (odds ratio (OR) = 2.00, 95% confidence interval (CI) = 1.17–3.41, p = 0.01), but this association was not present after adjusting for age (OR = 1.33, 95% CI = 0.76–2.33, p = 0.32). Further multivariate adjustment did not change the results. Conclusion: Although anemia and dementia are frequent disorders in older people, we found their relationship to be mediated exclusively by aging in this low-income population from São Paulo.
    Type of Medium: Online Resource
    ISSN: 1041-6102 , 1741-203X
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2012
    detail.hit.zdb_id: 2147136-8
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  • 2
    In: Journal of the International Neuropsychological Society, Cambridge University Press (CUP), Vol. 27, No. 3 ( 2021-03), p. 293-303
    Abstract: Normative data should consider sociodemographic diversity for the accurate diagnosis of cognitive impairment. This study aims to provide normative data for a brief neuropsychological battery and present diagnostic criteria for cognitive impairment that could be used in primary care settings. Methods: We selected 9618 Brazilian middle-aged and older adults after detailed exclusion criteria to avoid subtle cognitive impairment. We analyzed age, sex, and education influence on cognitive performance. To verify the evidence of criterion validity, we compared the cognitive performance of subjects with and without a depressive episode. Additionally, we verified the percentage of spurious scores under three different cutoffs. Results: Age and education had the greatest impact on cognition. Normative scores were provided according to age and education groups. Participants with a depressive episode performed poorer than control subjects. The clinical cutoff of at least two scores below the 7 th percentile revealed the adequate percentage of spurious and possible clinical performance. Conclusions: The Longitudinal Study on Adult Health (ELSA-Brasil) provided normative data based on a unique selected set of cognitively normal subjects. Normative groups were selected based on age and education, and the battery was sensitive to the presence of a depressive episode. We suggested clinical cutoffs for the tests in this battery that could be used in primary care settings to improve the accurate diagnosis of cognitive impairment.
    Type of Medium: Online Resource
    ISSN: 1355-6177 , 1469-7661
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2000018-2
    SSG: 5,2
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  • 3
    Online Resource
    Online Resource
    Cambridge University Press (CUP) ; 2009
    In:  Cardiology in the Young Vol. 19, No. 5 ( 2009-10), p. 436-440
    In: Cardiology in the Young, Cambridge University Press (CUP), Vol. 19, No. 5 ( 2009-10), p. 436-440
    Abstract: To verify an association, if it exists, between obesity and blood pressure raised beyond the 90th percentile in children and adolescents, and to determine the measure of adiposity that best correlates with blood pressure in these subjects. Design Cross-sectional study. Setting A school-based study in Belo Horizonte, Brazil. Participants We selected randomly 1,403 students, aged from 6 to 18 years, from 545,046 students attending 521 public and private schools. Those selected completed the study. Main measures of outcome We recorded the weight, height, skin fold in the triceps, subscapular, and suprailiac areas, waist and hip circumference, body-mass index, and resting systolic and diastolic blood pressures using a mercury sphygmomanometer. Results In univariate analyses, body mass index greater or lesser than 85th percentile, measurements of skin thickness in the subscapular and suprailiac areas, and the sum of all measurements of skinfold thickness, were associated with both systolic and diastolic measurements of blood pressure. After multivariate analyses that adjusted for all measurements of adiposity except itself, and age, race, and socioeconomic state, we found that the increased body mass index was associated with a 3.6-fold increased frequency of elevated systolic measurements of blood pressure, with 95% confidence intervals from 2.2 to 5.8, and a 2.7-fold increased frequency of elevated measurements of diastolic blood pressure, with 95% confidence intervals from 1.9 to 4.0. Conclusions Body-mass index serves as a better predictor of elevated blood pressure among children than do local measurements of adiposity.
    Type of Medium: Online Resource
    ISSN: 1047-9511 , 1467-1107
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2009
    detail.hit.zdb_id: 2060876-7
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  • 4
    In: Psychological Medicine, Cambridge University Press (CUP), Vol. 51, No. 16 ( 2021-12), p. 2895-2903
    Abstract: Abstract Background Depression is highly prevalent and marked by a chronic and recurrent course. Despite being a major cause of disability worldwide, little is known regarding the determinants of its heterogeneous course. Machine learning techniques present an opportunity to develop tools to predict diagnosis and prognosis at an individual level. Methods We examined baseline (2008–2010) and follow-up (2012–2014) data of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a large occupational cohort study. We implemented an elastic net regularization analysis with a 10-fold cross-validation procedure using socioeconomic and clinical factors as predictors to distinguish at follow-up: (1) depressed from non-depressed participants, (2) participants with incident depression from those who did not develop depression, and (3) participants with chronic (persistent or recurrent) depression from those without depression. Results We assessed 15 105 and 13 922 participants at waves 1 and 2, respectively. The elastic net regularization model distinguished outcome levels in the test dataset with an area under the curve of 0.79 (95% CI 0.76–0.82), 0.71 (95% CI 0.66–0.77), 0.90 (95% CI 0.86–0.95) for analyses 1, 2, and 3, respectively. Conclusions Diagnosis and prognosis related to depression can be predicted at an individual subject level by integrating low-cost variables, such as demographic and clinical data. Future studies should assess longer follow-up periods and combine biological predictors, such as genetics and blood biomarkers, to build more accurate tools to predict depression course.
    Type of Medium: Online Resource
    ISSN: 0033-2917 , 1469-8978
    RVK:
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2021
    detail.hit.zdb_id: 1470300-2
    SSG: 5,2
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  • 5
    In: Public Health Nutrition, Cambridge University Press (CUP), Vol. 24, No. 15 ( 2021-10), p. 5006-5014
    Abstract: To identify dietary patterns associated with subclinical atherosclerosis measured as coronary artery calcification (CAC). Design: Cross-sectional analysis of data from the Brazilian Longitudinal Study of Adult Health. Dietary data were assessed using a FFQ, and a principal component factor analysis was used to derive the dietary patterns. Scree plot, eigenvalues 〉 1 and interpretability were considered to retain the factors. CAC was measured using a computed tomography scanner and an electrocardiography-gated prospective Ca score examination and was categorised into three groups based on the CAC score: 0, 1–100 and 〉 100 Agatston units. Multinomial regression models were conducted for dietary patterns and CAC severity categories. Setting: Brazil, São Paulo, 2008–2010. Participants: Active and retired civil servants who lived in São Paulo and underwent a CAC exam were included ( n 4025). Results: Around 10 % of participants (294 men, 97 women) had a detectable CAC ( 〉 0), 6·5 % (182 men, 73 women) had a CAC of 1–100 and 3·5 % (110 men, 23 women) had a CAC 〉 100. Three dietary patterns were identified: convenience food, which was positively associated with atherosclerotic calcification; plant-based and dairy food, which showed no association with CAC; and the traditional Brazilian food pattern (rice, legumes and meats), which was inversely associated with atherosclerotic calcification. Conclusions: Our results showed that a dietary pattern consisting of traditional Brazilian foods could be important to reducing the risk of atherosclerotic calcification and prevent future cardiovascular events, whereas a convenience dietary pattern was positively associated with this outcome.
    Type of Medium: Online Resource
    ISSN: 1368-9800 , 1475-2727
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2016337-X
    SSG: 21
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