Associations between spousal caregiving and health among older adults in Mexico: A targeted estimation approach

The impact of medical insurance and old-age security on the utilization of medical services by the older population with disabilities

OBJECTIVE

In this study, the impact of medical insurance and old-age security on the use of medical services by the older population with disabilities is analyzed. A reference for decision makers is provided to improve medical and old-age security policies and enhance the use of medical services by the older population.

METHODS

Data were drawn from 3,737 older people with disabilities aged 65 years or above from the 2018 China Longitudinal Healthy Longevity Survey. A two-part model based on social ecological theory was used for both analysis and group prediction.

RESULTS

In terms of the use of outpatient medical services, old-age pension significantly increased the probability of outpatient visits for this population group (P < 0.05). Urban employee/resident medical insurance, the new rural cooperative medical insurance, and retirement pension significantly affected medical expenses. In terms of the use of inpatient medical services, the new rural cooperative medical insurance and retirement pension significantly influenced the choice of inpatient medical services; retirement pension increased inpatient medical expenditure (p < 0.01). The expected average probability of hospitalization, unconditional expected cost, and conditional expected cost for the older population with disabilities were 49.5%, RMB 6629.31, and RMB 3281.51, respectively. Both conditional and unconditional expected costs were significantly higher for older people with disabilities with the following attributes: male, married, no less than three chronic conditions, and unassisted daily care; costs were lower for older people with disabilities who are female, not married, had less than three chronic conditions, and had a spouse, child, or other caregiver.

CONCLUSION

Medical insurance and old-age security can significantly promote the utilization of medical services by the older population with disabilities. It is therefore recommended to focus on strengthening the support and health management of these people who are unattended to improve the effective use of health services and better meet their needs.

The bidirectional association between the disability in activities of daily living and depression: a longitudinal study in Chinese middle-aged and older adults

AIM

Depression and disability in activities of daily living (ADL) are common in middle-aged and older adults. This study investigated the bidirectional relationship between depression and disability in ADL in Chinese middle-aged and older adults.

METHODS

Data from a baseline study of 17,596 participants from the China Health and Retirement Longitudinal Study (CHARLS) and two follow-up visits at 4 and 7 years were included. We designed Study A and Study B to explore the interaction between depression and disability in ADL in middle-aged and older people.

RESULTS

Individuals with disability in ADL at baseline had adjusted odds ratios (ORs) of 1.331 (1.118, 1.584) and 1.969 (1.585, 2.448) for developing depression compared with those without disability in ADL at the 4- and 7-year follow-ups, respectively. Individuals with depression at baseline had adjusted ORs of 1.353 (1.127, 1.625) and 1.347 (1.130, 1.604), respectively, for developing disability in ADL 4 and 7 years later.

CONCLUSIONS

There was a bidirectional relationship between depression and disability in ADL. Depression increased the risk of disability in ADL, but this risk did not increase with time, whereas the effect of disability in ADL on depression increased with time.

Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review

PURPOSE

The targeted maximum likelihood estimation (TMLE) statistical data analysis framework integrates machine learning, statistical theory, and statistical inference to provide a least biased, efficient, and robust strategy for estimation and inference of a variety of statistical and causal parameters. We describe and evaluate the epidemiological applications that have benefited from recent methodological developments.

METHODS

We conducted a systematic literature review in PubMed for articles that applied any form of TMLE in observational studies. We summarized the epidemiological discipline, geographical location, expertize of the authors, and TMLE methods over time. We used the Roadmap of Targeted Learning and Causal Inference to extract key methodological aspects of the publications. We showcase the contributions to the literature of these TMLE results.

RESULTS

Of the 89 publications included, 33% originated from the University of California at Berkeley, where the framework was first developed by Professor Mark van der Laan. By 2022, 59% of the publications originated from outside the United States and explored up to seven different epidemiological disciplines in 2021-2022. Double-robustness, bias reduction, and model misspecification were the main motivations that drew researchers toward the TMLE framework. Through time, a wide variety of methodological, tutorial, and software-specific articles were cited, owing to the constant growth of methodological developments around TMLE.

CONCLUSIONS

There is a clear dissemination trend of the TMLE framework to various epidemiological disciplines and to increasing numbers of geographical areas. The availability of R packages, publication of tutorial papers, and involvement of methodological experts in applied publications have contributed to an exponential increase in the number of studies that understood the benefits and adoption of TMLE.

Health Shocks and Economic Well-being of the Aging Population: Evidence from Mexico

We exploit the longitudinal Mexican Health and Aging Study to estimate the effects of health shocks in the short-run on the subsequent economic well-being of the aging population in Mexico. While there is substantial evidence indicating negative economic effects of such changes in industrialized countries, little is known about health impacts on the future economic position of older adults in low- and middle-income countries. This paper takes an important step towards filling this gap in knowledge. Our results are widely relevant, with a large percentage of the world's population residing in developing countries such as Mexico that are experiencing rapid aging. We find evidence of negative impacts of health shocks on subsequent economic well-being of older adults in Mexico, but the effect varies according to several dimensions. First, the impact is clearly on income, not wealth. Second, responses are heterogenous across sources of income, with evidence of an impact mainly on labor income. Third, we find clear differences by gender in the impact of a health shock, with a larger negative impact on men. Fourth, we conclude that the population groups most negatively affected are those with the greatest degree of vulnerability prior to the shock, as measured by education and access to health insurance. Even though Mexico has made important gains with anti-poverty programs such as the Programa 70+ pension and a move towards universal health insurance, additional interventions targeted at the most vulnerable subsets of the aging population might be warranted.

Loneliness, Anxiety, Depression, and Adoption of the Role of Caregiver of Older Adults with Chronic Diseases during COVID-19

Objective: To determine the effect of loneliness, anxiety, and depression on adopting the role of caregiver of older adults with chronic conditions in a sample of Mexican caregivers during the COVID-19 pandemic. Materials and method: Predictive and correlational design. The study was conducted with 157 caregivers through the dyad characterization scale, the HADS scale, the UCLA scale, and the Caregiver role adoption scale. The analysis used descriptive and inferential statistics. Results: Most participants were female, with a mean care time of seven months. Mostly, the caregivers have anxiety as a clinical problem (27 %), doubtful depression (14.9 %), profound loneliness (66.2 %), and satisfactory adoption of the role (71.2 %). We found that the more significant the role of adoption, the lower the anxiety, depression, and loneliness levels (p < .05). The psychosocial factors, the age of the person cared for, the age of the informal caregiver, and the care time explained 36 % of the variance in role adoption (F = 13.12; p < .01), with loneliness as a predictive variable. Conclusion: The COVID-19 pandemic has impacted the caregivers’ mental health and caused profound loneliness, the latter being a predictor for adopting the role.