Healthy retirement begins at school: educational differences in the health outcomes of early transitions into retirement

The impact of retirement on body mass index in China: An empirical study based on regression discontinuity design

An aging population is an important trend of social development, and it will be China's basic national condition for a long time. However, the pressure on domestic pension payments and economic operations will increase daily. The delayed retirement policy is gradually implemented as a critical initiative to improve capital and labor force allocation. The impact of retirement on residents' Body Mass Index (BMI) and weight has become a focus issue. This paper investigates the mechanism of the impact of retirement on residents' BMI using microdata from the China Family Panel Studies (CFPS) 2018, combined with a fuzzy regression discontinuity design to measure the potential health impact of China's current retirement policy on residents. The study finds that: (1) Retirement has a significant negative effect on BMI for women, with retirement leading to a significantly increased risk of deviation from normal BMI levels and significantly increasing the weight of retired women. However, retirement does not have a significant effect on men. (2) Retirement policies affect residents' BMI to different degrees depending on their family size, with the negative effect on women being more pronounced in smaller family sizes. (3) Female residents who retire to help their children with intergenerational care are more likely to maintain normal BMI levels, significantly positively affecting their potential health. (4) Retirement negatively affects BMI through channels such as significantly reducing exercise frequency among female residents. The study demonstrates that retirement policy impacts the BMI and weight of female residents, so the formulation and implementation of delayed retirement policy should be flexible, and family factors such as family sizes and intergenerational care should be considered appropriately.

A New Path to Address Multimorbidity? Longitudinal Analyses of Retirement Sequences and Chronic Diseases in Old Age

Chronic disease and multimorbidity are growing health challenges for aging populations, often coinciding with retirement. We examine late-life predictors of multimorbidity, focusing on the association between retirement sequences and number of chronic diseases. We modeled the number of chronic diseases as a function of six types of previously identified 10-year retirement sequences using Health and Retirement Study (HRS) data for 7,880 Americans observed between ages 60 to 61 and 70 to 71. Our results show that at baseline, the adjusted prevalence of multimorbidity was lowest in sequences characterized by late retirement from full-time work and highest in sequences characterized by early labor-force disengagement. Age increases in multimorbidity varied across retirement sequences, though overall differences in prevalence persisted at age 70 to 71. Earlier life disadvantages did not moderate these associations. Findings suggest further investigation of policies that target health limitations affecting work, promote continued beneficial employment opportunities, and ultimately leverage retirement sequences as a novel path to influence multimorbidity in old age.

Older adults’ accounts of the relationships between retirement timing and health: a descriptive qualitative analysis in Chile

Retirement timing can have important health implications. Little is known, however, about older adults’ views on this issue and whether they consider it better to retire later, earlier, on time or anytime. This knowledge gap about older adults’ views is particularly true outside North America and Europe. This qualitative study aims to examine older Chileans’ ideas about the relationship between retirement timing and health and to explore gender and class patterns in qualitative themes identified, knowledge which may strengthen quantitative population-based approaches. Framework analysis was conducted on qualitative accounts from a purposive, non-random sample of 40 older Chileans in six focus groups, stratified by gender and class as marked by lifetime occupation. Transcriptions were coded by two independent reviewers (inter-coder reliability = 81%) according to four deductive categories of retirement timing as well as inductive coding of emergent themes. The content and sequence of codes were visually represented in MAXQDA's document portraits and illustrated with descriptive quotes. Results indicate that participants’ views about when to retire in order to maximise health did not highlight retirement age or timing (later, earlier, on time, anytime). Instead, these older Chileans emphasised that the optimal retirement age depends on other conditions, such as employment quality, retirement income and gender. These views were patterned: lower occupational-class participants emphasised income and job hazards, higher-class males emphasised job satisfaction and higher-class females emphasised gendered patterns. Women and lower-class participants were relatively more favourable to earlier retirements than men and higher-class participants. Overall, qualitative analyses of lay perspectives from understudied country contexts complement and extend population-based models focused on timing or retirement age, suggest specific characteristics of retirement transitions that may moderate health consequences, and highlight class and gender differences in views of retirement timing. More research is needed using mixed-methods approaches and leveraging both purposive and random samples.