The most striking demographic divide was generational. Among respondents aged 45 and older, 54.99 percent reported using traditional Chinese medicine services in the past year, compared with 47.21 percent of those under 45. That gap of nearly eight percentage points suggests that the therapeutic traditions of herbal medicine, acupuncture, tuina massage and related practices continue to resonate more strongly with older cohorts, even as younger Chinese consumers increasingly encounter wellness products and traditional remedies through modern commercial channels. The researchers also found a geographic gradient: urban registered residents reported a utilisation rate of 49.98 percent, while their rural counterparts lagged at 46.61 percent. Although the urban-rural difference was smaller than the generational one, it points to persistent structural inequities in who can actually reach traditional Chinese medicine providers, from hospital departments staffed by licensed practitioners to township clinics offering herbal prescriptions.

Methodologically, the study is notable for the care taken in sampling. The team used stratified multistage sampling across six cities in Hubei, a central Chinese province of roughly 58 million people that includes both the major metropolis of Wuhan and extensive rural hinterlands. By layering the sampling frame, the investigators ensured that their final sample of 3,639 respondents reflected the province’s demographic composition rather than over-representing easily surveyed urban populations. The researchers then applied multivariable logistic regression, a statistical technique that estimates the independent effect of each factor on the odds of service use while holding all other measured variables constant. Crucially, they did not stop at a single pooled model. Instead, they repeated the analysis separately within two strata, splitting the sample by generation, with 45 years as the cutoff, and by registered residence status, the hukou designation that in China still shapes access to schools, hospitals and social services.

The overall regression model identified several factors associated with higher utilisation. Employment in traditional Chinese medicine itself, or in integrated Chinese and Western medicine settings, was linked to greater use of these services, an intuitive finding that likely reflects both occupational exposure and cultural affinity among practitioners and their families. More telling was the role of supply: greater regional availability of traditional Chinese medicine resources was associated with higher utilisation, indicating that access to practitioners, pharmacies and clinics is a genuine bottleneck rather than a constraint that demand simply routes around. In health services research, this pattern is often described as supply-induced utilisation, and it carries a practical implication for policymakers, because expanding the physical footprint of traditional Chinese medicine services can measurably change who receives care.

Health status emerged as another powerful predictor, but in the opposite direction. Respondents who rated their own health as good were less likely to have used traditional Chinese medicine services in the previous year. This inverse association is consistent with a need-driven model of healthcare seeking: people who feel well have less reason to consult any provider, whether they prescribe herbs or pharmaceuticals. The finding also aligns with the traditional framing of Chinese medicine as a resource people draw on when managing chronic conditions, pain, or the accumulating ailments of middle and older age, rather than as a routine preventive service for the healthy. For health planners, the implication is that demand for traditional Chinese medicine will tend to rise with the burden of chronic disease, which is itself climbing as China’s population ages.

One of the study’s more intriguing results concerned household income. The middle income category showed a positive association with utilisation, but the upper category did not. This non-linear pattern complicates any simple assumption that wealthier households simply buy more traditional medicine. One plausible reading is that middle-income families have both the financial means and the motivation to seek these services, while the wealthiest households may preferentially use high-end Western-style private care or have less need for any subsidised service. The authors note that the observed patterns of association varied across the generation and registered-residence strata, meaning that a factor that predicted use among older or urban respondents might behave differently among younger or rural ones. This heterogeneity is precisely why the team argued for population-specific planning rather than one-size-fits-all policy.

The stratified analyses carry weight for China’s ongoing health equity debates. The hukou system, which ties social benefits to a person’s registered place of origin, has long produced a two-tier healthcare landscape in which rural migrants and rural residents face longer travel distances, thinner insurance coverage and fewer specialist options. The finding that rural respondents used traditional Chinese medicine services less often, despite these therapies being historically rooted in rural communities and folk practice, suggests that the modern institutional form of traditional Chinese medicine, delivered through hospitals and licensed clinics, has not fully penetrated the countryside. Meanwhile, the generational gap raises questions about whether younger Chinese, who grew up in an era of rapid biomedical expansion and digital health platforms, will sustain demand for traditional services as the current older cohort ages, or whether utilisation patterns will converge over time.

From a technical standpoint, the study’s design has both strengths and limits that readers should keep in mind. As a cross-sectional survey, it captures a snapshot in time and cannot establish causal direction: it remains possible, for example, that people who work in traditional medicine develop stronger cultural commitments, or that unmeasured health conditions drive both income patterns and service use. The analysis relied on self-reported utilisation over the previous twelve months, which is vulnerable to recall error, and the published materials indicate a complete-case analysis, meaning respondents with missing data on key variables were excluded. The team also encoded a local-customs indicator, reflecting regional cultural practices, which speaks to their effort to capture the cultural context that the abstract identifies as a determinant of use alongside health needs, socioeconomic resources and accessibility. Ethics approval was obtained from the Medical Ethics Committee of Wuhan University, and all participants provided written informed consent.

The research was supported by the National Natural Science Foundation of China, the Fundamental Research Funds for the Central Universities, and the Knowledge Innovation Project of Wuhan, with the funders playing no role in study design, analysis or the manuscript. The authors, including corresponding author Chao Wang, declared no competing interests. The article was published open access on 30 September 2026, making the full questionnaire, variable definitions and coding rules available in supplementary materials for other researchers to scrutinise or replicate.

What makes this study resonate beyond Hubei is its methodological lesson: aggregate statistics about traditional medicine use can mask the very disparities that policy most needs to address. A provincial average of nearly 49 percent tells planners little about where to build clinics, how to design insurance benefits, or which outreach programs might close the gap between urban and rural residents or between generations. By disaggregating the data and showing that the drivers of utilisation differ across strata, the Wuhan University team has provided a template for evidence-based planning of traditional medicine services, not just in China but in any health system where traditional and complementary therapies coexist with biomedical care. As China’s national strategy continues to promote the integration of Chinese and Western medicine, studies of this kind will be essential for ensuring that the promised benefits reach older and younger, urban and rural populations alike, rather than accruing only to those who already live closest to the services they need.

Subject of Research: Determinants of traditional Chinese medicine service utilisation across generations and urban-rural populations in Hubei Province, China

Article Title: Factors associated with traditional Chinese medicine service utilisation across generations and urban-rural populations in Hubei Province, China: a cross-sectional study

Article References: Huang, W.-J., Huang, Z.-P., Cai, Y.-M., Li, X., Zhu, R., Cheng, X., Lu, Z.-X., & Wang, C. (2026). Factors associated with traditional Chinese medicine service utilisation across generations and urban-rural populations in Hubei Province, China: a cross-sectional study. BMC Complementary Medicine and Therapies. https://doi.org/10.1186/s12906-026-05606-w

Image Credits: AI Generated

DOI: 10.1186/s12906-026-05606-w

Keywords: traditional Chinese medicine, healthcare utilisation, Hubei Province, urban-rural disparity, cross-sectional study, health equity, generational differences, logistic regression, complementary medicine, healthcare access, China, aging population

The analytical framework behind the study rests on two well-established pillars of organizational psychology. The first is social identity theory, originally formulated by Henri Tajfel and John Turner, which holds that people categorize themselves and others into in-groups and out-groups and then favor their own group in subtle but measurable ways. In the workplace, age functions as a powerful social identity: younger and older employees form implicit cohorts, attach stereotypes to each cohort, and interpret the same organizational events through those stereotype-tinted lenses. The second pillar is the concept of organizational climate, the shared perception employees hold about the policies, practices, and behaviors that are rewarded and expected in their organization. Prior research has shown that when the climate is inclusive of age, diversity tends to improve performance; when it is not, diversity can degrade cooperation and trust. Bennett’s study tests whether these theoretical predictions hold when younger and older American workers are asked directly about their lived experiences.

The headline finding is a strikingly symmetric perceptual divide. Older workers, those aged 50 and above, report experiencing age-based disadvantage more frequently than their younger colleagues. They describe being passed over, patronized, or assumed to lack technological fluency, consistent with a long line of research documenting ageist stereotypes that cast older employees as less adaptable, less trainable, and less valuable to invest in. Yet the same older workers are markedly more supportive of the idea that older employees should remain in the workforce for as long as they wish. In other words, the group that suffers most from age bias is also the group most committed to extended working lives, a combination that suggests older workers see continued employment as both an economic necessity and a source of identity and purpose, even while they acknowledge the friction it generates.

Younger workers tell a different story. Rather than reporting age-based exclusion, they express greater anxiety about delayed promotions and stalled career progression, a concern that researchers have long linked to perceived resource scarcity between generations. When senior positions remain occupied by employees working into their late sixties and seventies, younger workers may interpret the bottleneck as unfair competition, a dynamic documented in earlier work on intergenerational tension and subtle older-worker exclusion. The study’s results give this concern empirical weight in a nationally representative sample: younger respondents were significantly more likely than older respondents to worry that extended careers for their seniors would slow their own advancement up the organizational ladder.

A second major axis of divergence involves flexible work arrangements. Younger employees in the survey reported considerably higher engagement with flexible options, including remote work, adjustable schedules, and compressed hours, reflecting what the author characterizes as a generational shift in workplace norms rather than a simple difference in individual preference. This finding aligns with a broader body of research showing that flexibility practices interact with employee age in complex ways. Studies of hybrid and remote work have found productivity gains under geographic flexibility, while reviews of working-at-home effects note that older workers experience the health and social consequences of remote arrangements differently from younger ones. The survey data suggest that organizations offering flexibility primarily in formats designed around younger workers’ lives may unintentionally signal that these benefits belong to one cohort, reinforcing the very in-group boundaries that age-diversity programs aim to dissolve.

Perhaps the most consequential conclusion of the study is a caution against the popular corporate assumption that age diversity is automatically good for business. The analysis underscores that age diversity is not inherently beneficial; its impact depends on inclusion, climate, and proactive management. This echoes a substantial experimental and meta-analytic literature. Research on age-diversity climate has shown that age-inclusive human resource practices and the attitudes of senior leaders predict firm-level performance outcomes, while studies of age discrimination climates find negative performance consequences when bias goes unaddressed. Broader meta-analyses of workplace diversity similarly conclude that demographic differences translate into positive outcomes only under specific conditions, such as task relevance, supportive leadership, and open communication climates. The new survey results bring these laboratory and firm-level findings into the realm of ordinary workers’ perceptions, showing that the conditions for success are not yet widely met in the United States.

The practical implications for human resource leaders are concrete. Bennett points to bias-reduction strategies, inclusive flexibility policies, and cross-generational mentoring as the three most promising levers for converting potential intergenerational friction into collaborative advantage. Bias-reduction efforts draw on the intergroup contact tradition, which demonstrates through decades of meta-analysis that structured, cooperative contact between groups reduces prejudice, particularly when it unfolds under equal status and with institutional support. Mentoring programs that run in both directions, pairing older workers’ institutional knowledge with younger workers’ technological fluency, operationalize this contact principle while directly attacking the competence and warmth stereotypes that social psychology has shown people attach to both ends of the age spectrum. Inclusive flexibility, meanwhile, ensures that flexible arrangements are designed and marketed to workers of every age, preventing benefits from being coded as the property of a single generation.

The study is notable for its methodological position as one of the first nationally representative analyses to directly compare younger and older U.S. workers’ perceptions of age-related disadvantage and flexible work adoption, addressing what the author identifies as a critical gap in organizational psychology and aging research. Much of the existing evidence comes from single-firm samples, convenience surveys of older workers alone, or European datasets whose labor-market institutions differ substantially from the American context. By testing four formal hypotheses about generational differences in workplace perceptions against nationally representative data, the study provides a benchmark that future research can replicate and extend. At the same time, the cross-sectional design of the 2019 survey means the findings capture a snapshot rather than a trajectory, and the dichotomy between workers under and over 50 inevitably smooths over differences within each broad group.

Looking forward, the study closes by charting an ambitious research agenda: longitudinal designs that track how perceptions evolve as cohorts age, multi-level models that connect individual attitudes to team and organizational outcomes, and cross-cultural comparisons that test whether the American pattern of generational perception holds in societies with different retirement norms and cultural attitudes toward aging. The stakes of this agenda are rising. Labor force projections indicate that older workers will remain a growing share of the American workforce for decades, driven by longer life expectancy, changes to retirement security, and the shifting composition of available jobs. As the demographic reality of the five-generation workplace solidifies, the question is no longer whether organizations will be age-diverse but whether they will manage that diversity deliberately. The evidence from the 2019 Working Longer Survey suggests that without intentional effort, the default outcome is a workplace divided by silent, mutually reinforcing stereotypes, with older workers feeling sidelined and younger workers feeling stuck. With it, the same demographic mix could become a source of complementary skills, durable knowledge transfer, and genuine competitive advantage.

Subject of Research: Perceptions of age diversity and generational differences among younger and older U.S. workers based on the 2019 Working Longer Survey.

Article Title: Age Diversity and Workplace Perceptions: Insights from the 2019 Working Longer Survey

Article References: Bennett, J. (2026). Age Diversity and Workplace Perceptions: Insights from the 2019 Working Longer Survey. Trends in Psychology. https://doi.org/10.1007/s43076-026-00529-4

Image Credits: AI Generated

DOI: 10.1007/s43076-026-00529-4

Keywords: age diversity, workplace perceptions, generational differences, ageism, flexible work, organizational climate, social identity theory, aging workforce, inclusion, extended working lives, Diversity, Workplace