Social Inequalities in Mental Health and Self-Perceived Health in the First Wave of COVID-19 Lockdown in Latin America and Spain: Results of an Online Observational Study

Salas Quijada, Carmen; López-Contreras, Natalia; López-Jiménez, Tomás; Medina-Perucha, Laura; León-Gómez, Brenda Biaani; Peralta, Andrés; Arteaga-Contreras, Karen M.; Berenguera, Anna; Queiroga Gonçalves, Alessandra; Horna-Campos, Olivia Janett; Mazzei, Marinella; Anigstein, Maria Sol; Ribeiro Barbosa, Jakeline; Bardales-Mendoza, Olga; Benach, Joan; Borges Machado, Daiane; Torres Castillo, Ana Lucía; Jacques-Aviñó, Constanza

doi:10.3390/ijerph20095722

Cited by 2 publications

(1 citation statement)

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“…The impact of COVID-19 on the social determinants of health may have differed significantly between women and men as shown in recent studies [49]. It is therefore of great interest to define the estimators of the gender gap observed in each measurement, and also in absolute and relative terms, in order to observe their evolution.…”

Section: Estimating Gender Gaps In Each Measurementmentioning

confidence: 99%

Calibration and XGBoost reweighting to reduce coverage and non-response biases in overlapping panel surveys: application to the Healthcare and Social Survey

Castro,

Rueda,

Sánchez-Cantalejo

et al. 2024

BMC Med Res Methodol

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Background Surveys have been used worldwide to provide information on the COVID-19 pandemic impact so as to prepare and deliver an effective Public Health response. Overlapping panel surveys allow longitudinal estimates and more accurate cross-sectional estimates to be obtained thanks to the larger sample size. However, the problem of non-response is particularly aggravated in the case of panel surveys due to population fatigue with repeated surveys. Objective To develop a new reweighting method for overlapping panel surveys affected by non-response. Methods We chose the Healthcare and Social Survey which has an overlapping panel survey design with measurements throughout 2020 and 2021, and random samplings stratified by province and degree of urbanization. Each measurement comprises two samples: a longitudinal sample taken from previous measurements and a new sample taken at each measurement. Results Our reweighting methodological approach is the result of a two-step process: the original sampling design weights are corrected by modelling non-response with respect to the longitudinal sample obtained in a previous measurement using machine learning techniques, followed by calibration using the auxiliary information available at the population level. It is applied to the estimation of totals, proportions, ratios, and differences between measurements, and to gender gaps in the variable of self-perceived general health. Conclusion The proposed method produces suitable estimators for both cross-sectional and longitudinal samples. For addressing future health crises such as COVID-19, it is therefore necessary to reduce potential coverage and non-response biases in surveys by means of utilizing reweighting techniques as proposed in this study.

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Section: Estimating Gender Gaps In Each Measurementmentioning

confidence: 99%

Calibration and XGBoost reweighting to reduce coverage and non-response biases in overlapping panel surveys: application to the Healthcare and Social Survey

Castro,

Rueda,

Sánchez-Cantalejo

et al. 2024

BMC Med Res Methodol

View full text Add to dashboard Cite

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Effect of contributing factors on the incidence of non-communicable diseases among adults with common mental health disorders: a systematic review

Jamal,

Horn,

Ager

2024

Global Health Research

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Background Individual, social and environmental factors play a dynamic role in determining mental health outcomes. The linkage between mental health and non-communicable disease is widely noted, but the mechanisms are poorly understood. The current systematic review aims to identify common contributing factors linking mental health to non-communicable disease incidence among adults to inform planned preventive interventions for high-risk non-communicable disease and mental ill-health populations. Methods MEDLINE, PsycINFO, EMBASE and CINAHL were searched from February to August 2019 for case-control and longitudinal studies of adults with common mental health disorders (depression and anxiety) assessing the causal effect of individual, environmental and social factors on the incidence of common non-communicable diseases (cancers, cardiovascular diseases, chronic obstructive pulmonary disease and diabetes mellitus). There were no geographical restrictions for the selected studies and the results were generated utilising a narrative synthesis. Results Of 15,266 unique documents identified by search terms, 419 met criteria for full-text review and 11 studies met inclusion criteria for data extraction. None of the identified studies had the onset of chronic obstructive pulmonary disease as an outcome. The majority of the studies showed a significant effect of depression and/or post-traumatic stress disorder on non-communicable disease incidence. The chronicity of mental health disorders appears to exacerbate their effect on non-communicable disease onset. Older age, higher body mass index, female sex, smoking status and number of cigarettes smoked, low educational attainment and ethnicity were found to exert a significant effect on the association between mental health disorders and non-communicable disease onset. Conclusion Findings from this review provide evidence to guide health practice and policy to reduce the burden of non-communicable diseases and mental health disorders. Interventions targeted towards identifying and treating mental health illnesses and the factors linking mental and physical health lower the burden of mental disorders and prevent the subsequent development of non-communicable diseases. Funding This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Global Health Research programme (NIHR award ref: 16/136/100). A plain language summary of this research article is available on the NIHR Journals Library Website https://doi.org/10.3310/CTDH4677.

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Social Inequalities in Mental Health and Self-Perceived Health in the First Wave of COVID-19 Lockdown in Latin America and Spain: Results of an Online Observational Study

Cited by 2 publications

References 50 publications

Calibration and XGBoost reweighting to reduce coverage and non-response biases in overlapping panel surveys: application to the Healthcare and Social Survey

Calibration and XGBoost reweighting to reduce coverage and non-response biases in overlapping panel surveys: application to the Healthcare and Social Survey

Effect of contributing factors on the incidence of non-communicable diseases among adults with common mental health disorders: a systematic review

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