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Basic Medical Insurance Type and Depressive Symptoms in Middle-Aged and Older Adults with Multimorbidity: A Cross-Sectional Study Based on CHARLS 2020

Based on the 2020 CHARLS data, this study finds that among middle-aged and older Chinese adults with multimorbidity, enrollment in the more comprehensive Urban Employee Basic Medical Insurance (UEBMI) is significantly associated with lower odds of depressive symptoms compared to the Urban and Rural Resident Basic Medical Insurance (URRBMI), suggesting that insurance benefit disparities have measurable impacts on mental health.

Original authors: Chongxin Guo, Renjie Zhang, Pengyue Ren, Wenyu Wang

Published 2026-08-07

📖 4 min read☕ Coffee break read

CC BY 4.0

Original authors: Chongxin Guo, Renjie Zhang, Pengyue Ren, Wenyu Wang

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine your health as a complex video game where your character has to juggle multiple "debuffs" at once—like a broken leg, a weak heart, and a foggy brain all happening together. In the medical world, this is called multimorbidity, and it's a heavy load for anyone, but especially for older adults. Now, imagine that in this game, there are two different types of "health shields" or insurance plans available. One shield is thick, shiny, and covers almost everything, while the other is a bit thinner and leaves more gaps. The big question scientists are asking is: Does the type of shield you wear actually change how your character feels emotionally? It turns out that when you are struggling with multiple physical illnesses, the financial and medical safety net you have can be a huge factor in whether you feel happy or depressed. This isn't just about paying bills; it's about whether the system supporting you is strong enough to keep your mental game strong too.

This study, which looked at data from over 9,000 middle-aged and older adults in China, decided to test exactly that. The researchers zoomed in on people who were already dealing with two or more chronic physical conditions (like high blood pressure, diabetes, or heart disease) and asked: "Does having the 'Urban Employee' insurance plan make you less likely to feel depressed compared to having the 'Urban and Rural Resident' plan?"

Think of the two insurance plans like two different umbrellas in a storm. The Urban Employee Basic Medical Insurance (UEBMI) is like a giant, high-tech umbrella that catches most of the rain and even has a pocket for extra supplies. It covers formal workers and retirees in cities and pays back a large chunk of your medical bills. The Urban and Rural Resident Basic Medical Insurance (URRBMI) is more like a standard, smaller umbrella. It covers rural residents and those without formal jobs, but it catches less rain, meaning you have to pay more out of your own pocket when you get sick.

The researchers found a clear difference in how the "players" felt under these two umbrellas. In the group with the smaller umbrella (URRBMI), nearly 48.9% of people showed signs of depression. In the group with the bigger, better umbrella (UEBMI), that number dropped significantly to 27.7%. That's a huge gap!

But here's the tricky part: the people with the better umbrellas were also different in other ways. They tended to be older, more educated, and live in cities. So, the scientists had to be very careful to make sure the umbrella itself was the reason for the happiness, and not just the fact that the people holding them were already different. They used a clever statistical trick called "propensity score matching," which is like pairing up two people who are almost identical in every way (age, education, health status) except for the umbrella they hold.

Even after doing this careful matching, the result held up. People with the better insurance (UEBMI) still had about 32% lower odds of having depressive symptoms compared to those with the resident insurance. The study suggests that the extra financial protection and better access to care provided by the UEBMI plan might be acting as a buffer against the stress and anxiety that come with managing multiple diseases. It's as if the better umbrella not only keeps you dry but also gives you a little more peace of mind, knowing you won't go broke trying to get better.

The study didn't find that this effect was limited to just one group; it seemed to help everyone, whether they were men or women, young or old, though the effect looked slightly stronger for people in rural areas where the "gap" between the two umbrellas is the widest. The researchers were careful to note that because this is a snapshot in time (a cross-sectional study), they can't say for sure that the insurance caused the lower depression, but the link is strong and consistent across many different ways of looking at the data.

Ultimately, this paper suggests that when we talk about healthcare, we can't just look at physical cures. For people juggling multiple health problems, the type of insurance they have might be a silent partner in their mental health. If the "gap" between the two insurance plans is narrowed, it could potentially lift the mood of millions of people who are already fighting a tough battle with their physical health.

Technical Summary: Basic Medical Insurance Type and Depressive Symptoms in Middle-Aged and Older Adults with Multimorbidity

Problem Statement
Multimorbidity, defined as the concurrent presence of two or more chronic physical conditions, is a pervasive challenge among middle-aged and older adults in China, affecting over 50% of the population aged 60 and above. This condition is strongly associated with an increased risk of depression, creating a bidirectional relationship where physical burden exacerbates psychological distress and vice versa. China's basic medical insurance system, covering approximately 95% of the population, operates under two primary schemes with significant structural disparities: the Urban Employee Basic Medical Insurance (UEBMI), which offers higher reimbursement rates (70–90%) and broader benefits including personal medical accounts, and the Urban and Rural Resident Basic Medical Insurance (URRBMI), which covers rural and non-employed urban populations with lower reimbursement rates (50–70%) and limited outpatient coverage. While the financial and utilization impacts of these schemes are documented, there is a lack of rigorous, population-based evidence regarding whether these coverage gaps translate into measurable differences in mental health outcomes, specifically depressive symptoms, among the high-risk multimorbid population.

Methodology
This study utilized a cross-sectional design based on data from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative survey.

Study Population: The analytic sample consisted of 9,142 participants aged 45 or older diagnosed with two or more chronic physical conditions (excluding psychiatric conditions to avoid circular definitions) who were enrolled in either UEBMI or URRBMI.
Outcome Measure: Depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10). A cutoff score of ≥10 was used to define the presence of depressive symptoms.
Exposure: The primary exposure was insurance type (UEBMI vs. URRBMI).
Statistical Approach: To address the substantial baseline sociodemographic differences between the two insurance groups, the authors employed a multi-faceted analytical strategy:
1. Multivariable Logistic Regression: Four nested models were constructed to estimate the association between insurance type and depressive symptoms, progressively adjusting for demographic, socioeconomic, health status, behavioral, and healthcare utilization covariates.
2. Propensity Score Matching (PSM): A 1:1 nearest-neighbor matching with a caliper of 0.02 was applied to create a balanced sample of 1,078 pairs, minimizing selection bias from observed confounders.
3. Subgroup and Sensitivity Analyses: Analyses were stratified by sex, residence, age, and number of chronic conditions. Sensitivity tests included varying the CES-D-10 cutoff (≥12), modeling CES-D-10 as a continuous outcome, and altering PSM parameters (caliper width and matching ratio).

Key Results

Prevalence: The overall prevalence of depressive symptoms was 45.6%. There was a stark disparity between groups: 48.9% among URRBMI enrollees compared to 27.7% among UEBMI enrollees ( $\chi^2 = 221.73, P < 0.001$ ).
Regression Analysis: In the fully adjusted logistic regression model (Model 4), UEBMI enrollment remained significantly associated with lower odds of depressive symptoms compared to URRBMI (Odds Ratio [OR] = 0.684; 95% CI: 0.586–0.799; $P < 0.001$ ). The effect size attenuated from an unadjusted OR of 0.399 to 0.684 after adjusting for covariates, suggesting that roughly half of the crude difference is attributable to compositional differences (e.g., education, residence) rather than the insurance scheme itself, yet a significant independent protective effect persists.
Propensity Score Matching: In the matched sample, where covariate balance was achieved (all Standardized Mean Differences < 0.1), the association persisted with an adjusted OR of 0.679 (95% CI: 0.558–0.825; $P < 0.001$ ).
Subgroup and Sensitivity: The protective association of UEBMI was consistent across all subgroups (sex, residence, age, chronic condition count), with no statistically significant interaction terms. Sensitivity analyses using alternative cutoffs, continuous outcomes, and varied PSM parameters yielded concordant results, confirming the stability of the findings.
Other Predictors: Poor self-rated health was the strongest predictor of depressive symptoms (OR = 4.522), followed by IADL impairment, ADL impairment, and being unmarried.

Key Contributions
This study provides rigorous, nationally representative evidence linking the type of basic medical insurance to mental health outcomes in a high-risk demographic. Its primary contributions include:

Targeted Focus: It isolates the population with multimorbidity, a group with distinct psychological needs often overlooked in general insurance studies.
Methodological Rigor: By combining stepwise multivariable regression with propensity score matching, the study effectively controls for the substantial confounding variables (such as education and urban/rural residence) that typically differentiate UEBMI and URRBMI enrollees.
Quantifying the Gap: It quantifies the mental health disparity associated with insurance benefit structures, demonstrating that the gap in reimbursement and coverage correlates with a roughly 32% reduction in the odds of depressive symptoms for UEBMI enrollees.

Significance and Claims
The authors assert that the benefit disparity between China's two main insurance schemes has measurable consequences for the mental health of middle-aged and older adults with multimorbidity. The study concludes that while compositional differences explain a portion of the observed gap, the insurance type itself remains an independent factor associated with depressive symptom risk.

The paper posits that the protective effect of UEBMI likely stems from reduced out-of-pocket financial strain, better access to structured chronic disease management, and the psychological security provided by personal medical accounts. However, the authors explicitly state that due to the cross-sectional design, causal inference cannot be established. They suggest that these findings warrant policy attention to narrow coverage gaps, integrate mental health services into chronic disease management, and strengthen psychosocial support, particularly in rural areas where the insurance benefit gap is most pronounced. The study does not propose specific experimental interventions but highlights the need for policy adjustments to promote equity in health protection.

Technical Summary: Basic Medical Insurance Type and Depressive Symptoms in Middle-Aged and Older Adults with Multimorbidity

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