Cohort profile: Singapore’s nationally representative Retirement and Health Study with 5 waves over 10 years

Abstract

The Retirement and Health Study (RHS) is Singapore's largest nationally representative cohort with over 15,000 participants (aged 45-85years) followed across five timepoints in 10 years (2014 -2024). Accounting for sample weights, the sample represents 1.2 million Singaporeans and permanent residents of a total population of 5.5 million. The RHS sought consent to link survey responses to relevant administrative data, enabling the cross-validation of self-reports with national databases. There are 10 sections in the RHS with over 400 questions, 50% of which are on respondents' physical and mental health, healthcare utilization and insurance; the remaining 50% are about employment history, retirement adequacy, wealth, and household expenditure. The RHS was set up to provide microdata to compliment administrative data for whole-of-government policy making given that Singapore will reach super-aged status by 2026. Sample findings include a need for older adults to balance between immediate financial needs and investments regarding their pension funds. Also, 86% of older adults preferred to transit into partial retirement by reducing workloads.On the health front, existing studies utilising the RHS have revealed latent classes of disabilities, and that intentions to seek employment can mitigate disability developments.Another study reported that physical disability and social isolation was projected to increase, with ethnic disparities in social functioning. Overall, the RHS will be used for evidencedinformed policy agenda setting and evaluation across domains of health, finance, retirement adequacy, social and family development.

Ageism on Twitter during the COVID‐19 pandemic

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Media attention toward COVID-19 across 18 countries: The influence of cultural values and pandemic severity

“…public's attention toward the pandemic. Future research could explore the efficacy of media attention to predict public attention [26,[42][43][44][45][46], and whether these discrepancies have any bearing on public sentiments [46][47][48][49][50][51] toward the pandemic. On the analytic front, future studies could consider OLS regressions with categorical variables assigned to respective countries, instead of the complexity of multiple level modeling.…”

Not Too Old for TikTok: How Older Adults Are Reframing Aging

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