Predictors of depression among middle-aged and older men and women in Europe: A machine learning approach

Handing, Elizabeth P.; Strobl, Carolin; Jiao, Yuqin; Feliciano, Leilani; Aichele, Stephen

doi:10.1016/j.lanepe.2022.100391

Cited by 29 publications

(22 citation statements)

References 26 publications

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“…Another, much larger study applied RF analysis to compare 56 risk/protective factors for depression in a sample of 67,603 European older adults [ 60 ]. Social isolation and poor health turned out to be the strongest risk factors, accounting for 22% of variability in depression.…”

Section: Machine Learning Approachesmentioning

confidence: 99%

Overview of frequent pattern mining

Ott

Park

2022

Genomics Inform

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Various methods of frequent pattern mining have been applied to genetic problems, specifically, to the combined association of two genotypes (a genotype pattern, or diplotype) at different DNA variants with disease. These methods have the ability to come up with a selection of genotype patterns that are more common in affected than unaffected individuals, and the assessment of statistical significance for these selected patterns poses some unique problems, which are briefly outlined here.

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Section: Machine Learning Approachesmentioning

confidence: 99%

Overview of frequent pattern mining

Ott

Park

2022

Genomics Inform

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“…Selain itu, terdapat hipotesis yang menyebutkan bahwa pelaporan laki-laki cenderung mengalami depresi lebih sedikit dibanding wanita, disebabkan gaya koping maskulin (misalnya, ketiadaan-ekspresi emosional atau tidak mencari bantuan), di pergaulan sosial terdapat stigma mengekspresikan depresi dapat menimbulkan rasa malu, dan laki-laki lebih cenderung mengalami gangguan depresi tradisional seperti perilaku agresi, kecanduan alkohol, kepribadian antisosial dan penyalahgunaan obat) (23,24). Hal inilah yang menyebabkan kurangnya diagnosis awal pada laki-laki mengenai depresi, yang berdampak penyebab laporan kematian akibat bunuh diri pria lebih tinggi (25).…”

Section: Pembahasanunclassified

Karakteristik Lansia dan Kejadian Depresi di Panti Pelayanan Sosial Lanjut Usia (PPSLU) Sodagaran Banyumas

Septianawati

Mustikawati

Kusuma

et al. 2022

MuJG

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Latar belakang: Peningkatan jumlah penduduk lansia diperkirakan akan menjadi masalah Kesehatan di Indonesia. Salah satu masalah pada lansia adalah depresi. Penelitian ini diperlukan untuk menginvestigasi karakteristik lansia yang mengalami depresi. Tujuan: Melihat gambaran hubungan karakteristik lansia terhadap kejadian depresi di Panti Pelayanan Sosial Lanjut Usia (PPSLU) Sodagaran Banyumas. Metode: penelitian ini adalah cross-sectional dengan responden jumlah 42 orang dengan mengisi data pribadi, kuesioner Geriatric Depression Scale (GDS) dan mengikuti pemeriksaan fisik. Hasil: Hasil penelitian didapatkan 33 responden lansia tidak mengalami depresi serta 9 orang lansia mengalami depresi ringan berdasarkan GDS. Dalam analisis bivariat ditemukan adanya hubungan antara jenis kelamin (p=0,046), riwayat sekolah (p=0,032) dan riwayat bekerja (p=0,017) pada lansia yang mengalami depresi ringan dan tidak depresi. Selain itu tidak ada hubungan signifikan (p>0,05) antara usia, riwayat menikah, lama tinggal, tekanan darah, Body Mass Index (BMI) dan lingkar pinggang pada lansia yang tidak depresi dengan lansia yang depresi. Simpulan: Diperoleh laki-laki yang memiliki riwayat pernah sekolah dan riwayat pernah bekerja lebih cenderung mengalami depresi ringan.

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“…⇒ There is growing evidence that the COVID- 19 pandemic contributed to deterioration in mental health. A sizeable literature has looked at the predictors of depression symptoms worsening, however, less is known about the effect of the pre-existing and pandemic-related stressors on depression in older populations.…”

Section: What Is Already Known On This Topicmentioning

confidence: 99%

“…Generally, poor self-rated health, social isolation and increased difficulty in mobility belong among the most substantial predictors of depression in the elderly population. 19 20 …”

Section: Introductionmentioning

confidence: 99%

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Determinants of depressive symptoms increase in older persons during the COVID-19 pandemic: evidence from Czech cohort study using repeated assessments

Dalecká

Pikhart

Bartošková

et al. 2022

J Epidemiol Community Health

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BackgroundNumerous studies reported higher levels of mental health issues during the COVID-19 pandemic but only a minority used repeated measurements. We investigated change in depressive symptoms in the Czech ageing cohort and the impact of pre-existing and COVID-19-related stressors.MethodsWe used data on 2853 participants (mean age 73.4 years) from the Czech part of the prospective Health, Alcohol and Psychosocial factors In Eastern Europe cohort that participated in postal questionnaire surveys before (September 2017–June 2018) and during the pandemic (October 2020–April 2021). Participants reported their depressive symptoms using the Centre for Epidemiological Studies-Depression Scale including 10 (CESD-10) tool. A principal component analysis (PCA) was used to create representative components of the pandemic-related stressors. The impact of the stressors on change in depressive symptoms was tested using multivariable linear regression, after adjustment for age and potential confounders.ResultsThree patterns of the pandemic-related stressors (‘financial stressors’, ‘social and perception stressors’ and ‘death and hospitalisation stressors’) were extracted from the PCA. The mean CESD-10 score increased from 4.90 to 5.37 (p<0.001). In fully adjusted models, significantly larger increases in depression score were reported by older people (β=0.052; p=0.006), those with poor self-rated health (β=0.170; p<0.001), those who experienced death or hospitalisation of a close person (β=0.064; p<0.001), social deprivation (β=0.057; p<0.001), delays in healthcare (β=0.048; p=0.005) and those who suffered from COVID-19 (β=0.045; p=0.008).ConclusionThis study confirms an increase in depressive symptoms in older persons during the pandemic and identified several pandemic-related risk factors suggesting that public health policies should address this vulnerable group by adopting the preventing strategies.

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Predictors of depression among middle-aged and older men and women in Europe: A machine learning approach

Cited by 29 publications

References 26 publications

Overview of frequent pattern mining

Overview of frequent pattern mining

Karakteristik Lansia dan Kejadian Depresi di Panti Pelayanan Sosial Lanjut Usia (PPSLU) Sodagaran Banyumas

Determinants of depressive symptoms increase in older persons during the COVID-19 pandemic: evidence from Czech cohort study using repeated assessments

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