Longitudinal associations between having an adult child migrant and depressive symptoms among older adults in the Mexican Health and Aging Study

Torres, Jacqueline M.; Rudolph, Kara E.; Sofrygin, Oleg; Glymour, M. Maria; Wong, Rebeca

doi:10.1093/ije/dyy112

Cited by 13 publications

(13 citation statements)

References 46 publications

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“…Another goal of this research was to explore the use of machine learning (ML) classification algorithms to remove selection bias by reweighting the study variables via PSA. ML techniques are commonly employed in epidemiology [17][18][19], and statistical algorithms have been used to weight variables in recent health surveys [20][21][22].These techniques have also shown good properties in simulated data in terms of bias reduction [23,24] but at the cost of increasing the variance of the estimates. However, the mean square error (MSE), which combines bias and variance, is reduced with PSA in some situations, meaning that its application can be recommended in nonprobability sampling contexts.…”

Section: Introductionmentioning

confidence: 99%

Self-Perceived Health, Life Satisfaction and Related Factors among Healthcare Professionals and the General Population: Analysis of an Online Survey, with Propensity Score Adjustment

2021

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Healthcare professionals (HCPs) often suffer high levels of depression, stress, anxiety and burnout. Our main study aimswereto estimate the prevalences of poor self-perceived health, life dissatisfaction, chronic disease and unhealthy habits among HCPs and to explore the use of machine learning classification algorithms to remove selection bias. A sample of Spanish HCPs was asked to complete a web survey. Risk factors were identified by multivariate ordinal regression models. To counteract the absence of probabilistic sampling and representation, the sample was weighted by propensity score adjustment algorithms. The logistic regression algorithm was considered the most appropriate for dealing with misestimations. Male HCPs had significantly worse lifestyle habits than their female counterparts, together with a higher prevalence of chronic disease and of health problems. Members of the general population reported significantly poorer health and less satisfaction with life than the HCPs. Among HCPs, the prior existence of health problems was most strongly associated with worsening self-perceived health and decreased life satisfaction, while obesity had an important negative impact on female practitioners’ self-perception of health. Finally, the HCPs who worked as nurses had poorer self-perceptions of health than other HCPs, and the men who worked in primary care had less satisfaction with their lives than those who worked in other levels of healthcare.

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Section: Introductionmentioning

confidence: 99%

Self-Perceived Health, Life Satisfaction and Related Factors among Healthcare Professionals and the General Population: Analysis of an Online Survey, with Propensity Score Adjustment

2021

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“…In particular, there were positive associations between having an adult child in the US and both measures of physical functioning at the two-year follow-up for women, which is consistent with two studies in other settings reporting that having an adult child migrant and was associated with better physical functioning among older adults who remain. 4,5 These protective findings have been explained by economic transfers commonly made from migrant children to parents who remain in place, 5,14,25 which may allow older adults to access treatment for underlying medical conditions 10,56 and to reduce physically demanding work (e.g. in agriculture or domestic occupations), 5 possibly contributing to improvements in perceived and/or actual physical functioning.…”

Section: Discussionmentioning

confidence: 99%

“…4,5 Findings have also been extremely mixed, with negative, positive, and null associations reported. [4][5][6][7][8][9][10][11][12][13][14] Scholars suggest that family-member migration may result in poorer health for older adults who remain, possibly due to the loss of family members who might have otherwise provided social and instrumental support necessary for coping with life challenges. 6,13,15 Reduced support may impact older adults' health-promoting behaviors (e.g.…”

Section: Introductionmentioning

confidence: 99%

Having an Adult Child in the United States, Physical Functioning, and Unmet Needs for Care Among Older Mexican Adults

et al. 2019

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Background: Migration of adult children may impact the health of aging parents who remain in low-and middle-income countries. Prior studies have uncovered mixed associations between adult child migration status and physical functioning of older parents; none to our knowledge has examined the impact on unmet caregiving needs. Methods: Data come from a population-based study of Mexican adults >50 years old. We analyzed 11806 respondents surveyed over an 11-year period. We used longitudinal targeted maximum likelihood estimation to estimate associations between having an adult child in the US and lower-body functional limitations, and both needs and unmet needs for assistance with basic or instrumental activities of daily living (ADLs/IADLs). Results: For women, having an adult child in the US at baseline and 2-year follow-up was associated with fewer lower body functional limitations (marginal risk difference (RD): −0.14, 95% CI: −0.26, −0.01) and fewer ADLs/IADLs (RD: −0.08, 95% CI: −0.16, −0.001) at 2-year follow-up. Having an adult child in the US at all three study waves was associated with more lower-body functional limitations at 11-year follow-up (RD: 0.04, 95% CI: 0.01, 0.06). Having an adult child in the US was associated with a higher prevalence of unmet needs for assistance at two (RD: 0.13, 95% CI: 0.04, 0.21) and 11-year follow-up for women (RD: 0.07, 95% CI: −0.02, 0.15) and 11-year follow-up for men (RD: 0.08, 95% CI: 0.00, 0.16).

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“…Outro estudo realizado por Torres et al 27 utilizou o algoritmo superlearner para predizer depressão em adultos de acordo com critérios sociais. O superlearner agrega um conjunto de algoritmos supervisionados, como gradient boosted trees, e seleciona o peso desses algoritmos de acordo com o desempenho individual alcançado.…”

Section: Aprendizagem Supervisionadaunclassified

“…O superlearner agrega um conjunto de algoritmos supervisionados, como gradient boosted trees, e seleciona o peso desses algoritmos de acordo com o desempenho individual alcançado. Esse tipo de algoritmo que engloba ou utiliza outros algoritmos é conhecido na área como ensemble 27 .…”

Section: Aprendizagem Supervisionadaunclassified

Perspectivas do uso de mineração de dados e aprendizado de máquina em saúde e segurança no trabalho

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2019

Rev. bras. saúde ocup.

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Resumo Introdução: a variedade, volume e velocidade de geração de dados (big data) possibilitam novas e mais complexas análises. Objetivo: discutir e apresentar técnicas de mineração de dados (data mining) e de aprendizado de máquina (machine learning) para auxiliar pesquisadores de Saúde e Segurança no Trabalho (SST) na escolha da técnica adequada para lidar com big data. Métodos: revisão bibliográfica com foco em data mining e no uso de análises preditivas com machine learning e suas aplicações para auxiliar diagnósticos e predição de riscos em SST. Resultados: a literatura indica que aplicações de data mining com algoritmos de machine learning para análises preditivas em saúde pública e em SST apresentam melhor desempenho em comparação com análises tradicionais. São sugeridas técnicas de acordo com o tipo de pesquisa almejada. Discussão: data mining tem se tornado uma alternativa cada vez mais comum para lidar com bancos de dados de saúde pública, possibilitando analisar grandes volumes de dados de morbidade e mortalidade. Tais técnicas não visam substituir o fator humano, mas auxiliar em processos de tomada de decisão, servir de ferramenta para a análise estatística e gerar conhecimento para subsidiar ações que possam melhorar a qualidade de vida do trabalhador.

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Longitudinal associations between having an adult child migrant and depressive symptoms among older adults in the Mexican Health and Aging Study

Abstract: Associations between having an adult child migrant and depressive symptoms varied by respondent gender, family size, and the location of the child migrant. Trends in population aging and migration bring new urgency to examining associations with other outcomes and in other settings.

Cited by 13 publications

References 46 publications

Self-Perceived Health, Life Satisfaction and Related Factors among Healthcare Professionals and the General Population: Analysis of an Online Survey, with Propensity Score Adjustment

Self-Perceived Health, Life Satisfaction and Related Factors among Healthcare Professionals and the General Population: Analysis of an Online Survey, with Propensity Score Adjustment

Having an Adult Child in the United States, Physical Functioning, and Unmet Needs for Care Among Older Mexican Adults

Perspectivas do uso de mineração de dados e aprendizado de máquina em saúde e segurança no trabalho

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