The research, published in Frontiers in Oncology, enrolled 404 patients aged 18 to 59 who had undergone radical surgery for primary lung cancer at a tertiary specialized chest hospital. Between August 2025 and June 2026, trained investigators administered a battery of validated instruments: the Flourishing Scale developed by Diener and colleagues, the Herth Hope Index, the Social Support Rating Scale, and the Brief Illness Perception Questionnaire. Rather than treating flourishing as a single average score, the team applied latent profile analysis, a person-centered statistical method that sorts individuals into mutually exclusive subgroups based on their response patterns across the eight dimensions of the flourishing scale, including meaning, self-acceptance, relationships, engagement, competence, optimism, and being respected by others.

The statistical machinery behind the classification was rigorous. The researchers fitted models with one to five latent classes using robust maximum likelihood estimation in Mplus 8.3, with 1000 random starts and 200 final-stage replications to reduce the risk of converging on local maxima. Information criteria including the Akaike Information Criterion, the Bayesian Information Criterion, and the adjusted BIC decreased progressively up to the four-profile model. The Lo-Mendell-Rubin likelihood ratio test confirmed that the four-class solution outperformed the three-class model (p = 0.022), and the bootstrapped likelihood ratio test was highly significant (p < 0.001). An entropy value of 0.806 indicated acceptable classification accuracy, and average posterior probabilities across the four subgroups ranged from 86.2 to 92.6 percent, confirming that patients were assigned to their profiles with substantial confidence.

The four-profile solution revealed striking heterogeneity. The largest subgroup, comprising 28.22 percent of the sample, was the low flourishing profile, in which patients scored modestly across nearly all dimensions of positive psychological functioning. The moderate interpersonal flourishing profile, at 27.97 percent, showed moderate overall flourishing with interpersonal connection as its most salient dimension but relatively weaker optimism, self-acceptance, and meaning. The moderate optimistic flourishing profile, at 22.03 percent, displayed the opposite combination: relatively strong optimism but insufficient relational resources. Finally, the high flourishing profile, at 21.78 percent, showed comparatively elevated and balanced scores across nearly all eight dimensions, together with higher levels of internal positive beliefs and external social resources.

Notably, the sample was clinically homogeneous in ways that sharpened the psychological contrast. Nearly three-quarters of participants were aged 45 to 59, about 60 percent were female, 95.30 percent were married, 96.78 percent had non-small cell lung carcinoma, and 98.02 percent had stage I or II early disease. Because marital status, insurance type, pathological type, and tumor stage showed almost no variance, they had little discriminatory power in distinguishing profiles. The variables that did matter were psychological and social rather than demographic: occupational status, total hope scores, total social support scores, and the emotional response dimension of illness perception all differed significantly across profiles in univariate analysis.

Multinomial logistic regression, with the low flourishing profile as the reference category, produced the study’s most counterintuitive finding. Higher emotional response scores, drawn from the Brief Illness Perception Questionnaire, were positively associated with membership in the moderate interpersonal profile (OR = 1.273, 95% CI = 1.094 to 1.480) and the high flourishing profile (OR = 1.221, 95% CI = 1.038 to 1.437). This direction contradicts the conventional assumption that stronger illness-related negative emotion corresponds to weaker positive adaptation. The authors invoke the Common-Sense Model of self-regulation to explain the paradox: emotional representations and cognitive representations operate as partially independent systems, and heightened emotional responses may reflect active cognitive processing of the illness rather than passive distress. When protective resources are present, this emotional arousal can correspond to adaptive outcomes, a pattern consistent with post-traumatic growth frameworks in which confronting negative emotions is a prerequisite for positive psychological reconstruction.

Social support told a cleaner story. Higher social support scores were positively associated with the high flourishing profile (OR = 1.126, 95% CI = 1.017 to 1.248), aligning with the social support buffering model, which holds that external resources reduce psychological strain under stressful conditions. The authors suggest that support may operate through practical care, access to information, and the sharing of illness experiences. Hope, by contrast, was significant in univariate analysis but lost its independent association after adjustment, suggesting that hope shares variance with social support and emotional responses rather than contributing uniquely to profile membership. Employment status, though significant in univariate analysis, did not retain statistical significance in the regression model.

One null finding carries substantial clinical weight. No variables showed significant associations with the moderate optimistic flourishing profile, which comprised 22.03 percent of the sample. The authors argue that the measured variables, including hope, social support, illness perception, and employment status, may be insufficient to capture the characteristics of this subgroup. Unmeasured factors such as personality traits, coping style, cancer-related stigma, time since surgery, and psychological flexibility may be associated with this profile. Psychological flexibility has been shown to correlate with emotional well-being, fatigue, insomnia, and post-traumatic growth in cancer patients undergoing treatment, making it a plausible candidate for future models.

The study has limitations that temper generalization. All participants were recruited from a single tertiary hospital, and the sample was highly homogeneous, with most participants married, insured, and diagnosed with early-stage non-small cell lung cancer. The cross-sectional design precludes causal inference, and the researchers did not record time since surgery or adjuvant treatment status, variables that may shape psychological status across the cancer care continuum. Only surgically treated patients were enrolled, excluding those receiving non-surgical palliative therapy, and the age cutoff of 59 years follows Chinese national convention rather than international definitions of young and middle-aged adults.

Nevertheless, the findings point toward a stratified model of postoperative psychological care. For patients in the low flourishing profile, the authors suggest early screening for distress and symptom burden alongside resilience-oriented support addressing multiple dimensions of positive functioning. For the moderate optimistic profile, interventions may preserve existing optimistic strengths while building interpersonal connection. For the moderate interpersonal profile, the priority may be optimistic beliefs, self-acceptance, and meaning construction. For the high flourishing profile, care may focus on maintaining psychological strengths and monitoring status under postoperative stress. The authors call for longitudinal studies using latent profile transition analysis or latent growth modeling to explore how these profiles develop dynamically, a step toward the full-cycle cancer management that health policy frameworks increasingly demand.

Subject of Research: Psychology

Article Title: Psychological flourishing among young and middle-aged postoperative lung cancer patients: a latent profile analysis

Article References: Wang, X., Gui, Y., Sang, Y., Zheng, T., Fan, H., Su, D., & Wang, B. (2026). Psychological flourishing among young and middle-aged postoperative lung cancer patients: a latent profile analysis. Frontiers in Oncology, 16, Article 1973408. https://doi.org/10.3389/fonc.2026.1973408

Image Credits: AI Generated

DOI: 10.3389/fonc.2026.1973408

Keywords: psychological flourishing, lung cancer, latent profile analysis, social support, illness perception, postoperative care, positive psychology, cancer survivors, emotional response, stratified intervention, Psychological, flourishing