Dataset Information

Factors associated with incidence of depressiveness among the middle-aged and older Estonian population.

ABSTRACT: Objective: Relatively scant research among older Estonian population describes factors associated with the incidence of depressive symptoms. This study identifies factors associated with the incidence of depressiveness among middle-aged and older Estonians over 2- and 4-year periods.

Method: In this cross-sectional analysis, logistic regression models are used to identify the factors associated with the incidence of depressiveness over 2- and 4-year periods. The data were drawn from the Survey of Health, Ageing and Retirement in Europe (SHARE) 2011-2015 which included Estonian population aged 53?years and older in 2013. After excluding those younger than 53?years, not interviewed 2?years later, those with depressive symptoms at baseline in 2013, and missing values for depressiveness or other variables, our analytical sample comprised 2513 people.

Results: Among those who were not depressive in 2013, 21.9% became depressive within 2?years; 16.1% of non-depressive individuals since 2011 became depressive by 2015. No age differences in incidence remained in adjusted models. Women have almost 50% higher odds of becoming depressive. A previous history of depressiveness and the presence of everyday activity limitations were important factors increasing the incidence of depression.

Discussion: Changes related to the individual's unique ageing experience are important explanatory factors related to the likelihood of developing depressive symptoms, rather than age itself. To diminish the incidence of depressive symptoms among older Estonian population, public health interventions should attempt to address factors which complicate existing health problems and facilitate continued independence and community involvement, both of which contribute to overall satisfaction with life.

SUBMITTER: Abuladze L

PROVIDER: S-EPMC7682222 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Factors associated with incidence of depressiveness among the middle-aged and older Estonian population.

Abuladze Liili L Opikova Galina G Lang Katrin K

SAGE open medicine 20201120

<h4>Objective</h4>Relatively scant research among older Estonian population describes factors associated with the incidence of depressive symptoms. This study identifies factors associated with the incidence of depressiveness among middle-aged and older Estonians over 2- and 4-year periods.<h4>Method</h4>In this cross-sectional analysis, logistic regression models are used to identify the factors associated with the incidence of depressiveness over 2- and 4-year periods. The data were drawn from ...[more]

PMID: 33282303

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Project description:OBJECTIVE:To assess the prevalence and factors associated with fatigue in the general population. DESIGN:Population-based, cross-sectional survey performed between May 2014 and April 2017. SETTING:General population of the city of Lausanne, Switzerland. PARTICIPANTS:2848 participants (53.2% women, age range 45-86 years). PRIMARY OUTCOME MEASURE:Prevalence of fatigue the previous week, defined as a score of ?4 using the Fatigue Severity Scale. RESULTS:The prevalence of fatigue was 21.9% (95% CI 20.4% to 23.4%) in the total sample. On bivariate analysis, participants with fatigue were younger, had a higher body mass index, a lower handgrip strength and lower ferritin levels. Participants with fatigue were more frequently women, had a lower educational level, presented more frequently with clinical insomnia, diabetes, anaemia, depression and low thyroid stimulating hormone (TSH) values, had a higher consumption of antihistamines, antidepressants and hypnotics, and rated more frequently their health as bad or very bad. Multivariable analysis showed that obesity (OR 1.40 (95% CI 1.03 to 1.91)), insomnia categories (p value for trend <0.001), depression (OR 3.26 (95% CI 2.38 to 4.46)), anaemia (OR 1.70 (95% CI 1.00 to 2.89)) and low self-rated health status (p value for trend <0.001) were positively associated with fatigue, while older age (p value for trend 0.002) was negatively associated with fatigue. Conversely, no association was found for diabetes, TSH levels, antihistamines or hypnotics. CONCLUSION:In a population-based sample aged 45-86, fatigue was present in one out of five subjects. Regarding clinical factors, sleep disturbances such as insomnia and sleep apnoea should be assessed first, followed by depression. Regarding biological factors, anaemia should be ruled out, while screening for hypothyroidism is not recommended as a first step. Sleep complaints and fatigue in older subjects are not due to ageing and should prompt identification of the underlying cause.

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Dataset Information

Factors associated with incidence of depressiveness among the middle-aged and older Estonian population.

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Factors associated with incidence of depressiveness among the middle-aged and older Estonian population.

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