RESUMO
BACKGROUND: Subjective memory complaints (SMC) are commonly studied in older adults and have been identified as potentially prodromal to dementia and Alzheimer's disease. Studies among younger adults from South America are lacking. OBJECTIVE: To estimate the prevalence of SMC and the factors associated with it among Maule Cohort (MAUCO) participants. METHODS: We performed a cross-sectional analysis to estimate the prevalence of SMC and investigated its associated factors from MAUCO baseline data (Nâ=â6,687). Within groups defined by age (38-59, 60-74) and global cognition (Mini-Mental State Examination: ≥26, 25-22, ≤21), multinomial logistic regression models evaluated risk factors for SMC (Yes, Sometimes, No). RESULTS: Overall, SMC prevalence was 16.4%; 15.9% (95% CI 14.9-16.9%) among younger and 17.6% (15.8-19.4%) among older participants. Female sex, comorbidities, and bad/fair self-reported health status (SRHS) were generally associated with higher odds of SMC. CONCLUSION: Overall prevalence of SMC was 16%. Different factors were associated with the odds of SMC depending on age and global cognitive status. Future SMC studies should include sex-specific assessments, evaluate SRHS as a moderator of SMC reporting, and the influence of the SARS-CoV-2 pandemic on SMC reporting.
Assuntos
COVID-19 , Transtornos da Memória , Masculino , Humanos , Feminino , Idoso , Transtornos da Memória/etiologia , Chile/epidemiologia , Prevalência , População Rural , Estudos Transversais , COVID-19/epidemiologia , COVID-19/complicações , SARS-CoV-2 , Testes NeuropsicológicosRESUMO
OBJECTIVES: Previous studies have established an association between tooth loss and depression. However, longitudinal evidence is scarce and needs to be verified in other populations. The aim of this study was to examine the longitudinal association between the number of remaining teeth and incident depression at 2- and 4-years follow-up in individuals enrolled in the Maule cohort (MAUCO) in Chile. METHODS: This prospective study used the information of individuals, aged 38 to 74 years, excluding those with depression at baseline. The number of remaining teeth at baseline was determined in four groups: "20 or more teeth", "10 to 19 teeth", "1 to 9 teeth" and "no natural teeth". Depression was measured through the PHQ-9. Logistic regression was performed to calculate the odds ratios (OR) for incidence depression at both periods of follow-ups, adjusting for age, sex, educational attainment, diabetes mellitus II, and stressful events at follow-up. Also, we performed adjusted multinomial logistic models to analysis the association between the number of remaining teeth and depression severity. RESULTS: In total individuals (n = 3335 at follow 1, n = 2461 at follow 2), all groups have ORs for incident depression above 1 considering 20 or more teeth as reference. In men, those with 10-19 teeth have 2.44 times higher odds of incident depression than those with 20 or more teeth (OR 2.44, CI 95% 1.33-4.50). Edentulous subjects at 4 years follow-up had 2.24 times higher odds of depression than those with more than 20 teeth (OR 2.24 CI 95%1.35-3.72). In women, the ORs (CI 95%) of incident depression were 2.56 (1.50-4.39), 1.56 (1.02-2.40) and 1.27 (0.90-1.81) for "none", "1-9", "10-19" respectively in comparison to the reference group. In edentulous individuals at baseline, the odds for each of the comparisons "mild vs no", "moderate vs no", "moderately severe vs no" and "severe vs no" were above 1, at both follow-ups. CONCLUSION: Individuals with less than 20 teeth in the mouth could had higher odds of incident depression at 2- and 4-years follow-up, with differences between men and women. Also, in our study, edentulism was associated with increased odds of incident depression at 4-years follow-up in women, and with higher levels of severity of depressive symptoms.
Assuntos
Depressão , Boca Edêntula , Masculino , Feminino , Humanos , Chile/epidemiologia , Depressão/epidemiologia , Estudos Prospectivos , Face , Boca Edêntula/epidemiologiaRESUMO
A key hypothesis in epidemiological studies is that time to disease exposure provides relevant information to be considered in statistical models. However, the initiation time of a particular condition is usually unknown. Therefore, we developed a multiple imputation methodology for the age at onset of a particular condition, which is supported by incidence data from different sources of information. We introduced and illustrated such a methodology using simulated data in order to examine the performance of our proposal. Then, we analyzed the association of gallstones and fatty liver disease in the Maule Cohort, a Chilean study of chronic diseases, using participants' risk factors and six sources of information for the imputation of the age-occurrence of gallstones. Simulated studies showed that an increase in the proportion of imputed data does not affect the quality of the estimated coefficients associated with fully observed variables, while the imputed variable slowly reduces its effect. For the Chilean study, the categorized exposure time to gallstones is a significant variable, in which participants who had short and long exposure have, respectively, 26.2% and 29.1% higher chance of getting a fatty liver disease than non-exposed ones. In conclusion, our multiple imputation approach proved to be quite robust both in the linear/logistic regression simulation studies and in the real application, showing the great potential of this methodology.
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Modelos Estatísticos , Idade de Início , Estudos de Coortes , Simulação por Computador , Humanos , Modelos LogísticosRESUMO
PURPOSE: Although polypharmacy in younger populations is a growing public health concern, most studies addressing polypharmacy focus on elderly populations. Thus, polypharmacy is not yet well understood in younger populations. METHODS: Baseline data from the Maule Cohort (MAUCO) (adults aged 38-74 years) were used to study the prevalence of polypharmacy and associated participant characteristics using logistic and zero-inflated negative binomial regressions. Factors studied include age, sex, self-rated health, education, smoking, obesity, diabetes, hypertension, and other chronic conditions. RESULTS: Polypharmacy was reported by 10% of participants overall, with higher prevalence among older (≥60 years) vs middle aged (<60 years) participants (overall: 20.9% vs 6.0%, P < .0001; for those reporting any medication use: 30.2% vs 15.9%, P < .0001). Middle-aged adults reported different patterns of medication use by polypharmacy status, while older adults reported similar medication use patterns regardless of polypharmacy. Diabetes, hypertension, dyslipidemia, cardiovascular diseases, hypothyroidism, and osteomuscular diseases were significantly associated with polypharmacy. Analyses also revealed that there are MAUCO participants who are potentially being undertreated for conditions like depression. CONCLUSIONS: Research into medication use among younger and middle-aged adults and development of possible tools to deprescribe medications in this population are warranted. However, it is important that patients who need treatment receive it, and so both potential overtreatment and undertreatment need further study in this population.