Journal of Men's Health,2026,22(4):25-33 DOI:10.22514/jomh.2026.031
Original Research
Effect of health literacy on health-related quality of life among Korean middle-aged men: mediating roles of anxiety and sleep duration
Myoungjin Kwon1, Jiyoung Kim2,*,, Sun Ae Kim3,*,

1Department of Nursing, Daejeon University, 34520 Daejeon, Republic of Korea

2Department of Nursing, Woosuk University, 55338 Wanju-gun, Republic of Korea

3Department of Nursing, Korea National University of Transportation, 27909 Chungbuk, Republic of Korea

*Corresponding Author(s):kim.jiyoung@woosuk.ac.kr (Jiyoung Kim); sakim@ut.ac.kr (Sun Ae Kim)

History Submitted: 14 October 2025 | Accepted: 08 December 2025 | Published: 30 April 2026
Copyright:  ©2026  The Author(s). Published by MRE Press.
This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).

Collapse table of contents

Abstract

Background: This study investigated the mediating effects of anxiety and sleep duration on the relationship between health literacy and health-related quality of life (HRQoL) among middle-aged men. Methods: This descriptive study involved the secondary analysis of data obtained from the 2023 Korea National Health and Nutrition Examination Survey, an annual government-led survey examining health levels and behaviors. The participants in this study were 1171 middle-aged men aged 40–64 years. The main analysis involved the application of Hayes’s PROCESS Macro for SPSS v.4.0, and Model 6 was used to determine the mediating effects of anxiety and sleep duration on the relationship between health literacy and HRQoL. Results: In Stage 1, health literacy had a significant effect on anxiety (B = −0.017, p = 0.040), and in Stage 2, health literacy (B = −0.062, p < 0.001) and anxiety (B = −0.050, p = 0.009) had a significant effect on sleep duration. In Stage 3, health literacy (B = 0.001, p < 0.001), anxiety (B = −0.009, p < 0.001), and sleep duration (B = 0.001, p < 0.001) significantly affected HRQoL. In Stage 4, health literacy had a significant effect on HRQoL (B = 0.001, p < 0.001). The total effect of health literacy on HRQoL increased from 0.001 to 0.002 (p < 0.001) when anxiety and sleep duration were included. Conclusions: This study has important implications for the HRQoL of middle-aged men. Significantly, to improve HRQoL among this cohort, it is necessary to increase health literacy and develop interventions to reduce anxiety and maintain adequate sleep time.

Keywords:Middle-aged men;Health literacy;Health-related quality of life;Anxiety;Sleep duration
PDF(792.62 kB)|EndNote (RIS)|BibTeX|RefMan|RefWorks

Cite this article

Myoungjin Kwon, Jiyoung Kim, Sun Ae Kim. Effect of health literacy on health-related quality of life among Korean middle-aged men: mediating roles of anxiety and sleep duration.Journal of Men's Health,2026,22(4):25-33 DOI:10.22514/jomh.2026.031

1. Introduction

Recent research indicates that health behaviors and physiological status during midlife significantly influence later life outcomes, including cognitive function and the risk for chronic diseases [1]. Although older adults are more likely to suffer from chronic conditions, midlife represents a physiological and psychosocial turning point at which the accumulation of stress and early biological changes begin to manifest as increased vulnerability to chronic illness such as metabolic syndrome. Evidence from previous research [2] indicates that early-life exposures and long-term stress contribute to elevated allostatic load in midlife, which in turn accelerates functional decline and predicts later health deterioration. Accordingly, middle-aged adults, defined as those aged 40 to 64 years according to a previous study [3], constitute a critical target group for preventive intervention, as this stage marks the onset of measurable changes in metabolic health, sleep regulation, and overall quality of life preceding old age. Effective lifestyle interventions during midlife are essential to promote healthy aging and prevent age-related functional decline.

Research on gender differences in health-related quality of life (HRQoL) across adulthood reveals a dynamic age-related shift. Women under 65 years generally report lower HRQoL than men; however, this pattern reverses in later life as men experience a steeper decline across physical and psychosocial domains [4, 5, 6, 7, 8]. While men aged 40–64 years tend to maintain higher HRQoL, this advantage narrows in early old age and reverses after age 75. These patterns indicate that midlife is a pivotal transition period when men’s HRQoL begins to deteriorate more rapidly, underscoring the need for gender-responsive strategies to support psychological and physical well-being during this stage.

Health literacy refers to the ability to understand and effectively use health information [9], and it is recognized as a fundamental skill that positively influences HRQoL by promoting better health behaviors and improving disease management [10]. Despite its recognized significance in improving health outcomes, health literacy remains underutilized owing to various limitations [11]. Previous studies have sought to elucidate the relationship between health literacy and HRQoL [12, 13], particularly among patients with chronic diseases. Although such studies provide valuable insights, their focus has often been confined to specific chronic conditions, leaving complex pathways and underlying mechanisms unclear, which limits causal interpretations. This study is a secondary analysis using the Korea National Health and Nutrition Examination Survey (KNHANES) 2023 and differs from other studies using KNHANES 2023. For example, the study by Choi et al. [14] had different research objectives, variables, and analysis methods, resulting in different results. Previous studies have demonstrated that individuals with low health literacy tend to experience more frequent anxiety symptoms and greater psychological burdens in managing their health. This is largely attributable to deficiencies in accessing, comprehending, and applying health information, which significantly heighten uncertainty in health-related decision-making and consequently elevate anxiety through specific cognitive and emotional pathways [15, 16]. In particular, inadequate health literacy exacerbates information gaps and limits an individual’s capacity to engage in disease prevention and management strategies, thereby resulting in intensified health-related fears and adverse emotional responses. Accumulating evidence suggests that higher anxiety levels correlate with poorer HRQoL across both mental and physical domains [17]. These findings collectively highlight the necessity of exploring diverse pathway models between health literacy and HRQoL, drawing growing attention to the potential partial mediating role of anxiety in this relationship. Therefore, further systematic path analyses are required to clarify the structural dynamics among health literacy, anxiety, and HRQoL.

Current findings suggest that elevated anxiety levels adversely affect sleep duration, with individuals experiencing increased anxiety symptoms demonstrating significantly shortened sleep patterns and compromised sleep architecture [18, 19]. Emerging evidence suggests that health literacy substantially influences sleep duration through pathways involving sleep hygiene behaviors and health management capabilities. Notably, Alijanzadeh et al. [20] found that individuals with higher levels of health literacy tended to report longer and more appropriate sleep durations, whereas those with lower levels health literacy were more likely to exhibit inadequate sleep patterns and reduced sleep quality. They found that the mechanisms underlying the influence of health literacy on sleep duration were mediated by an enhanced understanding of sleep-related health information, improved sleep hygiene practices, and more effective self-regulation of sleep behaviors [20]. Furthermore, sleep duration has been established as a critical determinant of HRQoL, with both insufficient and excessive sleep durations being associated with significantly diminished physical and mental health components of quality of life across diverse populations [21, 22]. Therefore, sleep duration is an additional pathway that warrants exploration within the complex relationship between health literacy and HRQoL, suggesting the need for comprehensive pathway models that incorporate sleep-related mediating mechanisms.

This study examines the relationship between health literacy and HRQoL among middle-aged men, and investigates whether and how anxiety and sleep duration mediate this relationship. Conceptually, this study draws on the Wilson and Cleary model of HRQoL [23], which views HRQoL as a multidimensional construct determined by the sequential interaction of biological, psychological, and behavioral factors. Within this theoretical structure, individual characteristics (i.e., health literacy) influence psychological responses (i.e., anxiety), which subsequently affect functional behaviors (i.e., sleep duration). These processes collectively shape individuals’ perceptions of health and overall quality of life.

While previous studies have reported separate associations among health literacy, anxiety, sleep, and HRQoL, little is known about the underlying mechanism connecting these factors. To address this gap, this study applies a mediating model to clarify how anxiety and sleep duration explain the pathway through which health literacy influences HRQoL in middle-aged men. Mediation analysis offers a rigorous statistical framework with which to delineate the indirect mechanisms through which an independent variable, such as health literacy, impacts a dependent outcome, such as HRQoL. By explicating the specific processes and intermediary variables involved, this approach illuminates the underlying psychological, physiological, and behavioral pathways that govern the observed associations. Incorporating mediators such as anxiety and sleep duration allows this study to address existing research gaps by capturing the complex, sequential, or parallel interactions that traditional direct-effect models often overlook. Mediation models can enhance our theoretical understanding and inform the development of targeted evidence-based interventions to improve public health outcomes. Therefore, this model allows for a more comprehensive understanding of how these variables interact and operate, moving beyond simple associations toward identifying actionable mechanisms relevant to intervention design.

This study investigates whether health literacy affects HRQoL among middle-aged Korean men through the mediating pathways of anxiety and sleep duration. By systematically assessing the relative contributions and combined influences of these mediators, this study confirms the importance of adopting a comprehensive approach that integrates psychological and physiological factors. This approach is essential for the design and implementation of effective targeted interventions and public health programs that address the multifaceted determinants of well-being.

2. Materials and methods

2.1 Study design

This was a descriptive study involving a secondary analysis of data obtained from the Korea National Health and Nutrition Examination Survey (KNHANES) of 2023. This study aimed to identify the mediating effects of anxiety and sleep duration on the relationship between health literacy and HRQoL among middle-aged men.

2.2 Participants

This study used data from the KNHANES, 2023. The National Health and Nutrition Survey is a statutory survey conducted annually by the Ministry of Health and Welfare to understand people’s health levels and behaviors. The results of the National Health and Nutrition Survey are used as basic data for health policies. The total number of KNHANES participants in 2023 was 6929. The participants in this study were 1171 middle-aged men.

2.3 Study variables

2.3.1 General characteristics

General characteristics included age, education level, economic status, marital status, economic activity, and daily smartphone usage duration (less than 1 h, 1–3 h, and 4 h or more). Health behaviors included subjective health, diabetes and hypertension, health checkups, drinking, smoking, stress (a lot or a little), number of walking days per week (0 days, 1–2 days, or 3 or more days), and body mass index (BMI). BMI was calculated by dividing the body weight (kg) by the square of height (m). According to the standards of the Korean Society for the Study of Obesity [24], underweight is defined as a BMI of less than 18.5 kg/m2, and obesity is defined as a BMI of 25.0 kg/m2 or more.

2.3.2 Health literacy

Health literacy was measured using the Health Literacy Index developed by Yoon et al. [25]. This tool is a 4-point Likert scale consisting of 10 items, including disease prevention, health promotion, health management, and resource utilization. At the time of development, the Cronbach’s α for this tool was 0.87, and in this study, the Cronbach’s α for this tool was 0.99.

2.3.3 Health-related quality of life

HRQoL was measured using the health-related quality of life instrument with 8 items (HINT-8) index developed by Lee et al. [26]. This tool is a 4-point scale (e.g., “I had no difficulty at all in (doing)”, “I had some difficulty in (doing)”, “I had a lot of difficulty in (doing)”, and “I could not (do)”) consisting of eight items in eight areas: climbing stairs, pain, vitality, work, depression, memory, sleep, and happiness. This study used Lee et al.’s [26] index calculation formula, expressed as follows: 1 − (0.073 + 0.018 × CL2 + 0.072 × CL3 + 0.122 × CL4 + 0.055 × PA2 + 0.116 × PA3 + 0.188 × PA4 + 0.019 × VI23 + 0.070 × VI4 + 0.004 × WO2 + 0.028 × WO3 + 0.036 × WO4 + 0.012 × DE2 + 0.044 × DE3 + 0.098 × DE4 + 0.014 × ME2 + 0.058 × ME3 + 0.109 × ME4 + 0.020 × SL3 + 0.090 × SL4 + 0.014 × HA2 + 0.068 × HA3 + 0.082 × HA4).

Values ranged from 0.132 to 1. The closer the value is to 1, the better the HRQoL [27].

2.3.4 Anxiety

Anxiety was measured using the Generalized Anxiety Disorder-7 (GAD-7) tool developed by Spitzer et al. [28]. GAD-7 consists of seven items rated on a 4-point Likert scale, with higher scores indicating more severe anxiety. At the time of tool development, the tool had a sensitivity of 60.6%–89%, with specificity of 82%–87.6%. In this study, this instrument had a Cronbach’s α of 0.93.

2.3.5 Sleep duration

Sleep duration was measured using an open-ended question: “How many hours do you usually sleep per day?”.

2.4 Analysis

Analysis of the study data was performed using SPSS/WIN version 27.0 (IBM Corp., Armonk, NY, USA), and the significance level was set at 0.05. Descriptive statistics were used to analyze the general characteristics of the participants and degree of the major variables (HRQoL, health literacy, anxiety, and sleep duration). t-tests and analysis of variance (ANOVA) were used to determine differences in HRQoL according to general characteristics, and Scheffé’s test was used for post-hoc analyses. Correlations among HRQoL, health literacy, anxiety, and sleep duration were analyzed using Pearson’s correlation coefficient. To identify the mediating effects of anxiety and sleep duration on health literacy and HRQoL, Model 6 of Hayes’ PROCESS Macro for SPSS v.4.0 [29] was used. Bootstrapping (10,000) was used to validate the significance of the mediating effect.

According to the 2022–2023 Usage Guidelines from the Korea Disease Control and Prevention Agency [30], using weights in the KNHANES data analysis process can improve the representativeness and accuracy of estimates by correcting for coverage errors, unequal sampling rates, and survey nonresponse errors (missing data) due to differences in household and population size between the sampling design and survey periods. This study utilized weighted data for analysis, thereby correcting for missing data.

3. Results

3.1 Relationship between general characteristics and HRQoL

As Table 1 shows, there were significant differences in HRQoL scores depending on economic level, marital status, subjective health, hypertension, health checkups, economic activity, smoking, stress, and number of walking days (p < 0.05). The HRQoL scores were higher among participants with higher education levels, living with a spouse, subjectively perceiving themselves as healthier, not having hypertension, undergoing health checkups, not smoking, experiencing less stress, and walking more frequently.

Table 1.Differences in HRQoL according to general characteristics (n = 1171).
CharacteristicsCategoriesn (%)HRQoL
M ± SDt/F(p) Scheffé
Age (yr)
40–494280.78 (0.08)0.65 (0.519)
50–494470.78 (0.10)
60–642960.79 (0.10)
Education level
≤High school5290.77 (0.10)−1.80 (0.067)
≥College6170.78 (0.08)
Economic level
Uppera4830.79 (0.09)12.64 (<0.001)
a, b > c
Middleb5900.78 (0.09)
Lowerc940.73 (0.13)
Marital status
With spouse9370.79 (0.09)3.43 (0.001)
Others980.75 (0.11)
Subjective health
Healthya3830.82 (0.07)93.25 (<0.001)
a > b > c
Normalb5130.78 (0.08)
Not healthyc1620.70 (0.11)
Hypertension
Yes3300.77 (0.11)−2.21 (0.027)
No8400.79 (0.09)
Diabetes
Yes1590.77 (0.10)−1.75 (0.080)
No10110.78 (0.09)
Health checkup
Yes8200.78 (0.09)2.06 (0.039)
No2350.77 (0.10)
Economic activity
Yes9190.79 (0.08)4.72 (<0.001)
No1360.74 (0.13)
Drinking
More than one glass/mon8230.78 (0.09)0.46 (0.645)
Less than one drink/mon3250.78 (0.10)
Smoking
Yes4370.76 (0.09)−4.37 (<0.001)
No7100.79 (0.09)
Stress
Feel less8600.80 (0.08)10.40 (<0.001)
Feel more2880.73 (0.09)
Number of walking days/wk
0a2000.77 (0.10)5.45 (0.004)
a, b < c
1–2b2070.76 (0.09)
≥3c6490.79 (0.09)
BMI (kg/m2)
<18.5240.76 (0.10)1.01 (0.366)
18.5–24.96050.78 (0.09)
≥255290.78 (0.09)
Smartphone usage time/d
<1810.76 (0.10)1.24 (0.288)
1–32880.78 (0.09)
≥43440.78 (0.08)

M: Mean; SD: Standard deviation; t: t value of t-test; F: F value of ANOVA; Scheffe: post-hoc analyses; HRQoL: health-related quality of life; BMI: body mass index.

3.2 Mean and standard deviation of anxiety, sleep duration, health literacy, and health

The mean HRQoL was 0.78 (0.09), the mean health literacy was 29.56 (5.49), the mean anxiety was 1.66 (3.01), and the mean sleep duration was 8.45 (12.88) (Table 2).

Table 2.Mean and standard deviation of HRQoL, health literacy, anxiety, and sleep duration.
HRQoLHealth literacyAnxietySleep duration
Mean (SD)0.78 (0.09)29.56 (5.49)1.66 (3.01)8.45 (12.88)

SD: Standard deviation; HRQoL: health-related quality of life.

3.3 Correlation among HRQoL, health literacy, anxiety, and sleep duration

HRQoL and anxiety were negatively correlated (r = −0.42, p < 0.001), and HRQoL and sleep duration were positively correlated (r = 0.21, p < 0.001). Health literacy was negatively correlated with anxiety (r = −0.06, p = 0.037) and sleep duration (r = −0.50, p < 0.001). Anxiety and sleep duration were negatively correlated (r = −0.07, p = 0.008) (Table 3).

Table 3.Correlation between HRQoL, health literacy, anxiety, and sleep duration (n = 1171).
VariablesHRQoL
r (p)
Health literacy
r (p)
Anxiety
r (p)
Sleep duration
r (p)
HRQoL1
Health literacy0.01 (0.957)1
Anxiety−0.42 (<0.001)−0.06 (0.037)1
Sleep duration0.21 (<0.001)−0.50 (<0.001)−0.07 (0.008)1

HRQoL: Health-related quality of life.

3.4 Mediating effects of anxiety and sleep duration on the relationship between health literacy and HRQoL

The mediating effects of anxiety and sleep duration on health literacy and HRQoL were analyzed using Model 6 of the PROCESS Macro for SPSS v.4.0.

The results showed that each model was statistically significant (Table 4 and Fig. 1). In Stage 1, health literacy had a significant effect on anxiety (B = −0.017, p = 0.040), and in Stage 2, health literacy (B = −0.062, p < 0.001) and anxiety (B = −0.050, p = 0.009) had a significant effect on sleep duration. In Stage 3, health literacy (B = 0.001, p < 0.001), anxiety (B = −0.009, p < 0.001), and sleep duration (B = 0.001, p < 0.001) significantly affected HRQoL. In Stage 4, health literacy had a significant effect on HRQoL (B = 0.001, p < 0.001). The total effect of the relationship between health literacy and HRQoL increased from 0.001 to 0.002 (p < 0.001) when anxiety and sleep duration were included (Table 5). Therefore, sleep duration has a positive effect on HRQoL, while anxiety has a negative effect. This indicates a dual mediating effect (i.e., indirect mediating effect).

Table 4.Mediating effect of anxiety and sleep duration on the relationship between HRQoL and health literacy in middle aged men (n = 1171).
NoVariablesB (Coeffect)SEp95% CIR2
LLCIULCI
1Health literacyAnxiety−0.0170.0080.040−0.034−0.0010.218
2
Health literacySleep duration−0.0620.011<0.001−0.0830.0400.014
AnxietySleep duration−0.0500.0190.009−0.088−0.012
3
Health literacyHRQoL0.0010.001<0.0010.0010.0020.351
AnxietyHRQoL−0.0090.001<0.001−0.010−0.008
Sleep durationHRQoL0.0010.001<0.0010.0010.002
4Health literacyHRQoL0.0010.001<0.0010.0010.0020.279

HRQoL: Health-related quality of life; SE: Standard error; CI: Confidence interval; LLCI: Lower limit confidence interval; ULCI: Upper limit confidence interval.

Mediating effect of variables.

Fig. 1.Mediating effect of variables.

Table 5.Total effect, direct effect (n = 1171).
EffectSEp95% CI
LLCIULCI
Total effect0.0010.003<0.0010.0010.002
Direct effect0.0010.003<0.0010.0010.002

SE: Standard error; CI: Confidence interval; LLCI: Lower limit confidence interval; ULCI: Upper limit confidence interval.

To determine the significance and influence of the double mediation effect, a comparison was made among three pathways: the path with only the first parameter input, the path with only the second parameter input, and the effect of the path with both the first and second parameter inputs. To verify the significance of the mediating effect, a bootstrapping method was used, and 10,000 samples were resampled. Statistical significance was determined using 95% confidence intervals.

Table 6 shows the health literacy path to HRQoL scores via anxiety (B = 0.008, 95% Confidence interval (CI): 0.001–0.017), the health literacy path to HRQoL scores via sleep duration (B = −0.005, 95% CI: −0.011—0.001), and the health literacy path to HRQoL scores via anxiety and sleep duration (B = 0.001, 95% CI: 0.001–0.001). The bootstrapping results confirm that the indirect effects of anxiety and sleep duration on the relationship between health literacy and HRQoL are statistically significant, with all confidence intervals excluding zero.

Table 6.Validation of mediating effect (Bootstrapping) (n = 1171).
VariablesEffectBoot SE95% CI
LLCIULCI
Indirect 1Health literacy → Anxiety → HRQoL0.0080.0040.0010.017
Indirect 2Health literacy → Sleep duration → HRQoL−0.0050.002−0.011−0.001
Indirect 3Health literacy → Anxiety → Sleep duration → HRQoL0.0010.0010.0010.001

HRQoL: Health-related quality of life; SE: Standard error; CI: Confidence interval; LLCI: Lower limit confidence interval; ULCI: Upper limit confidence interval.

4. Discussion

This study examined the relationship between health literacy and HRQoL among middle-aged men and explored the mediating roles of anxiety and sleep duration. As confirmed in this study, the overall effect of health literacy on HRQoL in middle-aged men was significantly positive, consistent with previous research findings [12, 31, 32]. For example, previous studies have shown that health literacy enhances self-management skills [31] and promotes preventive behaviors [32], thereby improving quality of life. However, mediation analysis in this study revealed that health literacy simultaneously operates through protective psychological pathways, such as anxiety, and detrimental behavioral pathways, such as reduced sleep duration. These pathways are linked to sociocultural stress, long working hours, and sleep deprivation in middle-aged Korean men, suggesting that the positive effects of health literacy are partially attenuated by sleep deprivation. Therefore, this study contextualizes the relationship between health literacy and HRQoL by examining the interaction between psychological and behavioral factors within a high-stress population of middle-aged men. This focus is particularly relevant given evidence that men in midlife often demonstrate lower helpseeking behaviors and stronger workoriented identities, making them more vulnerable to stressrelated declines in HRQoL.

Regarding its relationship with anxiety, previous studies have reported that limited health literacy increases health-related uncertainty and psychological burden, leading to elevated anxiety levels [15, 33, 34]. Zhang et al. [35] found that mental health literacy strengthens psychological resilience, whereas inadequate literacy exacerbates psychological hardship and anxiety, suggesting that enhancing health literacy may serve as an effective strategy for alleviating anxiety. Given that middle-aged men exhibit distinctive stress profiles and coping behaviors shaped by occupational pressures, our findings emphasize that improving health literacy in this group may contribute to anxiety relief through mechanisms different from those observed in mixed-gender samples. Consistent with these previous studies, this study empirically confirmed through a mediation model that health literacy significantly affects anxiety levels and that increased anxiety ultimately leads to a decline in HRQoL. This underscores the pivotal role of anxiety as a psychological mechanism linking health literacy to HRQoL among middle-aged Korean men, a population particularly vulnerable to anxiety arising from work-related and lifestyle pressures [12, 17, 36].

The observed negative association between health literacy and sleep duration was an unexpected finding in this study. Rather than indicating a direct causal relationship, this result should be interpreted cautiously as a hypothesis-generating observation that may reflect the unique sociocultural context of middle-aged Korean men. In this population, higher levels of health literacy are often aligned with professional employment that entails substantial responsibilities and elevated stress levels. Such positions are frequently associated with long working hours and the burden of being primary economic providers, both of which may constrain opportunities for sufficient sleep. Within a society characterized by the longest working hours among the Organisation for Economic Co-operation and Development (OECD) countries, these structural and cultural pressures may restrict men’s ability to translate their health knowledge into adequate rest. Consequently, despite possessing relatively high health literacy, these men may experience lower HRQoL as a result of insufficient recovery and persistent work-related strain. This interpretation aligns with prior evidence indicating that middle-aged men often face organizational and temporal barriers to engaging in health-promoting activities and tend to prioritize economic responsibilities over personal health needs [6]. Therefore, while health literacy may serve a psychologically protective role by reducing anxiety, it may simultaneously operate within a behavioral context that limits healthy sleep.

This study has several limitations. First, the cross-sectional design using data from the KNHANES limits the ability to clearly establish causal relationships. Therefore, longitudinal or linked-cohort studies are needed to clarify the associations among anxiety, sleep, and HRQoL. Second, the sleep duration was measured using a single self-report item, making it vulnerable to recall bias and failing to reflect other important aspects, such as sleep quality. Third, the analytic model did not incorporate additional psychosocial and occupational variables—such as job strain, work–life balance, and organizational culture—that may further elucidate the knowledge–behavior gap suggested by the present findings.

Despite these limitations, this study offers several important academic contributions. First, it expands upon existing linear relationships by empirically identifying complex mediating pathways among health literacy, anxiety, sleep duration, and HRQoL. Second, it presents a structural model that integrates psychological variables (anxiety) and behavioral variables (sleep duration). Third, by focusing on Korean middle-aged men, the study broadens the demographic scope of HRQoL research and foregrounds the importance of gender- and life stage-specific analyses. In particular, a distinctive contribution of this study lies in demonstrating that health literacy may simultaneously alleviate anxiety yet be associated with shorter sleep duration, ultimately exerting a mixed influence on HRQoL. These findings suggest that information provision alone is insufficient as a health literacy intervention strategy for middle-aged men and that health promotion programs should explicitly integrate anxiety reduction with sleep improvement components. Furthermore, the results underscore the need for gender- and age-responsive policies that address structural barriers to behavior change, thereby narrowing the knowledge–behavior gap identified in this population.

5. Conclusions

This study holds important insights into HRQoL among middle-aged men in Korea. Although middle-aged men may appear to maintain relatively stable HRQoL levels, the results of the study demonstrate that health literacy influences HRQoL through the mediating factors of anxiety and sleep duration. Notably, increased anxiety and shorter sleep duration were identified as significant variables negatively associated with HRQoL in this population. These findings highlight the limitations of traditional health-information delivery strategies and the need for integrated interventions that simultaneously address anxiety management and sleep duration improvement. Such comprehensive approaches are essential to prevent the deterioration of HRQoL among middle-aged men. Furthermore, this study has shed light on psychological and behavioral pathways hitherto underexplored in research on men’s health, thereby providing foundational evidence for developing targeted midlife interventions and gender-sensitive health policies.

Availability of data and materials

The datasets analyzed during the current study are available from the Korea National Health and Nutrition Examination Survey (KNHANES) repository, https://knhanes.kdca.go.kr.

Author contributions

MK, SAK and JK—Conceptualization; Writing–original draft preparation; Writing–review and editing. MK and SAK—methodology. MK—formal analysis; described the variables. SAK—described the subjects. JK—visualization; supplemented the description of the variables and their relationships. All authors have read and agreed to the published version of the manuscript. All authors discussed the concept of this study together.

Ethics approval and consent to participate

In compliance with the Personal Information Protection Act and the Statistics Act, the Korea Disease Control and Prevention Agency only provides de-identified data, preventing individuals from being identified from survey data. Data were downloaded from the National Health and Nutrition Survey website in December 2024, with permission from the administrator for academic research purposes. The KNHANES, 2023, was approved by the Institutional Review Board of the Korea Disease Control and Prevention Agency (No. 2022-114-16-R-A).

Acknowledgment

Not applicable.

Funding

This research was supported by the Daejeon University Research Grants (2025).

Conflict of interest

The authors declare no conflict of interest.

References

Dintica CS, Jiang X, Launer LJ, Bryan RN, Yaffe K. Life’s essential 8 and midlife trajectories in cognition and brain health: the CARDIA study. Alzheimer’s & Dementia. 2025; 21: e14464.

[Google Scholar]

Christensen DS, Flensborg-Madsen T, Garde E, Hansen ÅM, Masters Pedersen J, Mortensen EL. Early life predictors of midlife allostatic load: a prospective cohort study. PLOS ONE. 2018; 13: e0202395.

[Google Scholar]

Shimizu Y, Kudo Y, Karasawa K. Are older adults perceived as morally better than middle-aged persons? Focus on the stereotype content model. Acta Psychologica. 2024; 251: 104584.

[Google Scholar]

Alwhaibi M, Balkhi B. Sex differences in health-related quality of life among adults in the US: results from the medical expenditures panel survey data. BMC Public Health. 2025; 25: 2511.

[Google Scholar]

Chen M, Chen S, Wu Y, Song D, Xie L, Shang Y, et al. Are men dominant? Evidence of differences between physical activity and quality of life among older adults in China. Frontiers in Public Health. 2023; 11: 1210374.

[Google Scholar]

Fadaei Dehcheshmeh N, Emamian Fard SM, Roghani T, Mohammadi P, Faraji-Khiavi F. Challenges of middle-aged men in utilizing new health services from primary health care providers’ perspective: a qualitative study. BMC Primary Care. 2022; 23: 318.

[Google Scholar]

Moon WH, Kwon M, Kim SA. Examining the health-related quality of life of middle-aged men with metabolic syndrome based on their stress level. Journal of Men’s Health. 2022; 18: 1–9.

[Google Scholar]

Cherepanov D, Palta M, Fryback DG, Robert SA. Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: evidence from four US nationally representative data sets. Quality of Life Research. 2010; 19: 1115–1124.

[Google Scholar]

Li H, Tao S, Sun S, Xiao Y, Liu Y. The relationship between health literacy and health-related quality of life in Chinese older adults: a cross-sectional study. Frontiers in Public Health. 2024; 12: 1288906.

[Google Scholar]

Sørensen K, Van den Broucke S, Fullam J, Doyle G, Pelikan J, Slonska Z, et al. Health literacy and public health: a systematic review and integration of definitions and models. BMC Public Health. 2012; 12: 80.

[Google Scholar]

Bostock S, Steptoe A. Association between low functional health literacy and mortality in older adults: longitudinal cohort study. The BMJ. 2012; 344: e1602.

[Google Scholar]

Song I. Relationship between health literacy and health-related quality of life in Korean adults with chronic diseases. PLOS ONE. 2024; 19: e0301894.

[Google Scholar]

Nacanabo R, Debussche X, Rouamba M, Kamouni P, Mancini J, Kouanda S. Health literacy and health-related quality of life in type 2 diabetes: a cross-sectional study in Burkina Faso. Diabetes Epidemiology and Management. 2021; 3: 100016.

[Google Scholar]

Choi S, Kang Y, Kim H, Oh K. Health literacy in Korea: findings from the 2023 Korea National Health and Nutrition Examination Survey. Epidemiology and Health. 2025; 47: e2025037.

[Google Scholar]

Dadgarinejad A, Nazarihermoshi N, Hematichegeni N, Jazaiery M, Yousefishad S, Mohammadian H, et al. Relationship between health literacy and generalized anxiety disorder during the COVID-19 pandemic in Khuzestan province, Iran. Frontiers in Psychology. 2024; 14: 1294562.

[Google Scholar]

Ahmadboukani S, Fathi D, Bashirgonbadi S, Goudarzi S. The relationship between health literacy, perceived stress, anxiety sensitivity, and COVID-19 self-care: the mediating role of health locus of control. Iranian Rehabilitation Journal. 2023; 21: 611–622.

[Google Scholar]

Liu S, Meng Z, Wang S, Wang H, Fan D, Wu M, et al. The role of anxiety in the association between nutrition literacy and health-related quality of life among college students. Scientific Reports. 2024; 14: 24618.

[Google Scholar]

Wang X, Zhong Y, Wang R, Zhang D, Li Y, Pan Y, et al. Association between sleep duration and anxiety in US adults: a nationally representative cross-sectional study. Psychology Research and Behavior Management. 2025; 18: 1155–1167.

[Google Scholar]

Zhong L, Ma X, Li S, Yu L. The relationship between trait anxiety and sleep quality in college students: an exploratory analysis of physical activity as a moderator. Frontiers in Psychiatry. 2025; 16: 1563237.

[Google Scholar]

Alijanzadeh M, Yahaghi R, Rahmani J, Yazdi N, Jafari E, Alijani H, et al. Sleep hygiene behaviours mediate the association between health/e-health literacy and mental wellbeing. Health Expectations. 2023; 26: 2349–2360.

[Google Scholar]

Hariri M, Shamshirgaran SM, Amini A, Abasi H, Gholami A. Sleep duration and quality are associated with health-related quality of life in adults aged 60 years and older. Irish Journal of Medical Science. 2024; 193: 1929–1937.

[Google Scholar]

Marcos-Delgado A, Hernández-Segura N, Fernández-Villa T, Carracedo-Martínez E, Guallar-Castillón P, Martínez-González MÁ, et al. Objectively measured sleep duration and health-related quality of life in older adults with metabolic syndrome: a one-year longitudinal analysis of the PREDIMED-plus cohort. Nutrients. 2024; 16: 2631.

[Google Scholar]

Wilson IB, Cleary PD. Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes. JAMA. 1995; 273: 59–65.

[Google Scholar]

Kim KK, Haam JH, Kim BT, Kim EM, Park JH, Rhee SY, et al. Evaluation and treatment of obesity and its comorbidities: 2022 update of Clinical Practice Guidelines for obesity by the Korean Society for the Study of Obesity. Journal of Obesity & Metabolic Syndrome. 2023; 32: 1–24.

[Google Scholar]

Yoon JH, Cho JH, Kang SJ, Oh KW, Choi SH, Kang YK. Development of health literacy index for the Korea National Health and Nutrition Examination Survey. Public Health Weekly Report. 2023; 16: 709–725.

[Google Scholar]

Lee HJ, Cho MW, Choi SH, Kim YJ, Oh KW. Development and psychometric evaluation of measurement instrument for Korean Health-Related Quality of Life. Public Health Weekly Report. 2016; 9: 447–454.

[Google Scholar]

Jo MW. Development of measurement tool for health-related quality of life in the Korea National Health and Nutrition Examination Survey. 2014. Available at: https://library.nih.go.kr/ncmiklib/archive/report/listRomsReport.do (Accessed: 17 April 2025).

[Google Scholar]

Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine. 2006; 166: 1092–1097.

[Google Scholar]

Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. 3rd edn. The Guilford Press: New York. 2022.

[Google Scholar]

Korea Centers for Disease Control and Prevention. The 2022–2023 Usage Guidelines from the Korea Disease Control and Prevention Agency. 2024. Available at: https://knhanes.kdca.go.kr/knhanes/postSendPage.do?url=/dataAnlsGd/utztnGdDtl.do&postparam=%7B%22menuId%22:%22100310021001%22,%22utztnGdbkDataNo%22:%2252%22%7D (Accessed: 25 May 2025).

[Google Scholar]

Zhang J, Chen Y, Lu Y, Jiang X, Lin C, Ke X. The impact of health literacy on quality of life in patients with chronic diseases. Frontiers in Public Health. 2025; 13: 1544259.

[Google Scholar]

Ehmann AT, Groene O, Rieger MA, Siegel A. The relationship between health literacy, quality of life, and subjective health: results of a cross-sectional study in a rural region in Germany. International Journal of Environmental Research and Public Health. 2020; 17: 1683.

[Google Scholar]

Hu Q, Zhong Y, Chen J, Chen R, Cong E, Xu Y. Mental health literacy as a moderator: association between psychological vulnerability and adolescent anxiety. Frontiers in Psychology. 2025; 16: 1521224.

[Google Scholar]

Haeri-Mehrizi A, Mohammadi S, Rafifar S, Sadighi J, Kermani RM, Rostami R, et al. Health literacy and mental health: a national cross-sectional inquiry. Scientific Reports. 2024; 14: 13639.

[Google Scholar]

Zhang X, Yue H, Hao X, Liu X, Bao H. Exploring the relationship between mental health literacy and psychological distress in adolescents: a moderated mediation model. Preventive Medicine Reports. 2023; 33: 102199.

[Google Scholar]

Jennings CS, Astin F, Prescott E, Hansen T, Gale Chris P, De Bacquer D. Illness perceptions and health literacy are strongly associated with health-related quality of life, anxiety, and depression in patients with coronary heart disease: results from the EUROASPIRE V cross-sectional survey. European Journal of Cardiovascular Nursing. 2023; 22: 719–729.

[Google Scholar]