Factors associated with generalized anxiety disorder in Korean older adults: A secondary data analysis of the 2022 Korea National Health and Nutrition Examination Survey

Article information

J Korean Gerontol Nurs. 2025;27(4):383-392
Publication date (electronic) : 2025 November 28
doi : https://doi.org/10.17079/jkgn.2025.00087
1Associate Professor, Department of Dental Technology, Kyungdong University, Wonju, Korea
2Associate Professor, Department of Nursing, Kyungdong University, Wonju, Korea
Corresponding author: Gyun-Young Kang Department of Nursing, Kyungdong University, 815 Gyeonhwon-ro, Munmak-eup, Wonju 26495, Korea TEL: +82-33-738-1436 E-mail: mental74@kduniv.ac.kr
Received 2025 March 12; Revised 2025 June 14; Accepted 2025 November 10.

Abstract

Purpose

The purpose of this study is to identify the factors influencing generalized anxiety disorder (GAD) in older adults and to provide effective health management directions for GAD patients.

Methods

This study used data from the 9th National Health and Nutrition Survey (2022) and selected 1,666 older adults. The analysis was conducted using the SPSS 26.0 program. A complex sample chi-square test was performed to identify factors related to GAD. Complex sample logistic regression was conducted to determine the factors influencing GAD in the participants.

Results

The study results indicated that sex (p=.034), smoking (p=.042), alcohol consumption (p=.003), sleep duration (p=.005), chewing discomfort (p<.001), speaking discomfort (p<.001), and self-rated health (p=.016) were statistically significantly associated with GAD. The multivariate analysis considering the interaction between variables, sleep duration (OR=2.07, p=.031) and chewing discomfort (OR=2.49, p=.008) were identified as factors influencing GAD.

Conclusion

Chewing discomfort in older adults affects not only GAD but also leads to a decline in aesthetics and social withdrawal. Therefore, improvements in oral health policy support for oral health promotion and prevention are required. Additionally, education and interventions through community systems should be provided to address sleep issues associated with GAD.

INTRODUCTION

Older adulthood involves experiencing physical and mental challenges, including functional decline, withdrawal from economic activity, and the loss of a spouse [1]. Nevertheless, the economic resources and social support systems that are in place to assist individuals in coping with these transitions are frequently found to be inadequate [2]. Physical health issues among older adults, such as age-related decline in bodily functions and increased prevalence of chronic diseases, along with social loss and isolation, economic hardship, cognitive decline, and psychological stress, precipitate generalized anxiety disorder (GAD) [3]. GAD is a condition that is characterized by excessive anxiety or worry that persists for a minimum of 6 months, accompanied by a multitude of concerns that are challenging to regulate. These concerns are often accompanied by various physical and mental symptoms, including restlessness, muscle tension, fatigue, sleep disturbances, and impaired concentration [4]. However, the presence of other mental disorders makes it difficult to diagnose GAD. This leads to a high probability that the severity of the disorder will be overlooked, necessitating systematic management [5].

As population aging accelerates in South Korea, mental health concerns among older adults are coming to the fore, emerging as a pressing social priority that is comparable to the prevalence of physical health issues. Because worry, tension, and anxiety are often considered secondary symptoms of depression among older adult patients, the symptoms of GAD are likely to be overlooked. Therefore, careful attention to anxiety symptoms among older adults is warranted, independently of depressive symptoms [5], highlighting the importance of systematic management for the early detection and treatment of mental health issues in this population. However, most research on the mental health of older adults focuses on topics such as depression, suicide, and death; few studies have examined GAD.

Previous studies [3,6,7] have reported an association between GAD and stressors. Older adults demonstrate a heightened vulnerability to exacerbated GAD symptoms, which is attributable to a multitude of stressors, including physical, psychological, and socioeconomic factors, as well as apprehensions regarding death, stemming from developmental characteristics. Furthermore, older adults perceived health-related stress to be the most significant form, and this perceived stress was found to directly influence anxiety [2]. This high level of stress is closely associated with GAD [3,7]. Self-rated health (SRH) [7] and sleep disorders among older adults are also reportedly associated with GAD [8]. This anxiety among older adults has been associated with negative factors such as functional decline, cognitive impairment, and reduced quality of life [8]. In other words, even when older adults experience equivalent levels of stress, their degree of anxiety may vary according to the manner in which it is perceived by the individual, and since higher levels of social support reduce stress [1], efforts by both the individual and their circle are indispensable for developing the capacity to regulate stress.

Meanwhile, oral health can impair GAD. Oral health issues, including chewing discomfort, tooth loss, and the use of removable dentures, reportedly affect mental health conditions such as GAD among older adults [7,9,10]. Periodontal disease is the result of a complex interplay between bacterial growth and the host immune system. The extant literature has demonstrated that periodontal disease is associated with stress factors, including stress related to the health of the individual and that of their family members [11]. Adults diagnosed with depression or anxiety disorders exhibit an elevated risk of tooth loss when compared with adults not afflicted with such conditions [9], which substantiates the established correlation between oral health and mental/psychological factors. In addition, elevated scores on the GAD-7 scale have been correlated with more pessimistic self-perceptions of oral health status [12]. Moreover, oral health concerns have been demonstrated to result in restrictions on social activities and influence social interactions [12,13]. These oral health concerns can also diminish the quality of life of older adults by impeding chewing, speech, and aesthetic functions [14]. To reduce the prevalence of GAD and enhance the quality of life among those affected, the mental/psychological, sociocultural, physical, and cognitive factors associated with GAD must be identified.

Since 1998, South Korea has administered the Korea National Health and Nutrition Examination Survey (KNHANES) to establish a Health Plan that is based on nationally representative and reliable data on the health status and behaviors of its citizens. Notably, surveys on stress and suicide-related issues have been conducted since 1998. However, the survey for diagnosing GAD began in 2021, resulting in a severe lack of related research. This study aims to determine the factors that influence the development of GAD among Korean older adults and propose effective health management strategies for patients with GAD.

The specific objectives are as follows.

First, the demographic characteristics, health status, and GAD severity of the subjects are assessed.

Second, the differences in GAD based on the characteristics of the subjects are identified.

Third, the factors influencing GAD among the subjects are identified.

METHODS

Ethics Statement: This study was approved by the Public Institutional Review Board (PIRB) (Approval Number: 2018-01-03-4C-A) and subsequently by the Institutional Review Board (IRB) of Kyungdong University (IRB-1041455-202502-HR-001-01). Top-coding, bottom-coding, and recategorization methods were applied to the KNHANES IX-1 (2022) data to ensure the anonymity and confidentiality of personal information. Data were provided after the researcher received approval for data use in accordance with the Korea Disease Control and Prevention Agency’s raw data disclosure and management regulations.

1. Study Design

This study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines (http://www.strobe-statement.org). It used raw data from KNHANES IX-1 (2022). The KNHANES data are considered a public resource, as stipulated by the ‘National Health Promotion Act,’ which establishes the framework for the survey and subsequent disclosure of information on various health behaviors, the prevalence of chronic diseases, and the nutritional and dietary intake status of the population. Since the sample design used two-stage stratified cluster sampling, rather than simple random sampling, a descriptive cross-sectional study using secondary data was planned.

2. Subjects

The KNHANES household sample excluded facilities such as nursing homes, military bases, prisons, and foreign households. Within the selected sample households, all members who met the appropriate household member criteria were designated as subjects for this study. KNHANES IX-1 included a total of 6,265 individuals. This study sampled 1,666 older adults aged 65 and above from the entire population based on the objectives of the research. After the exclusion of 53 individuals with missing responses for the dependent variable (GAD-7), the final sample size for the analysis comprised 1,613 individuals (Figure 1).

Figure 1.

Research subject selection process. GAD-7=Generalized anxiety disorder-7; KNHANES IX=9th Korea National Health and Nutrition Examination Survey.

3. Measures and Scales

1) Demographic Characteristics

The demographic characteristics of the research subjects were determined by establishing variables including sex, age, education level, and income level. Set sex categories were “male” and “female”; age categories were “65~74” and “75 and older”; income levels were “high,” “upper-middle,” “lower-middle,” and “low”; and education levels were “elementary school,” “middle school,” “high school,” and “college or above.”

2) Health Characteristics

The health characteristics of the subjects were identified as “smoking,” “alcohol consumption,” “sleep duration,” “chewing discomfort,” “speaking discomfort,” and “SRH.” The smoking variable was set to “no” for “past smoker or non-smoker” and “yes” for “current smoker.” For the alcohol consumption question, “non-drinker (lifetime) or less than one drink per month in the past year” was defined as “no,” and “one or more drinks per month in the past year” as “yes.” A sleep duration of “7~9 hours” was defined as “adequate,” while less than 7 hours or more than 9 hours was classified as “insufficient/excessive.” Chewing discomfort and speaking discomfort were scored on a 5-point scale: “very uncomfortable,” “uncomfortable,” “neutral,” “not uncomfortable,” and “not at all uncomfortable.” Responses of “very uncomfortable” or “uncomfortable” were classified as “yes,” while “neutral,” “not uncomfortable,” and “not at all uncomfortable” were classified as “no.” SRH was categorized into five levels: “very good,” “good,” “neutral,” “poor,” and “very poor.” Responses of “very good” or “good” were categorized as “good,” while “neutral,” “poor,” and “very poor” were categorized as “poor.”

3) Severity of GAD

The severity of GAD was assessed using the Korean version of the GAD-7 scale. The GAD-7 is a questionnaire developed for screening GAD, with each item scored from 0 to 3 points based on the severity of symptoms. The total score is calculated by adding the scores of all seven items, with a maximum total score of 21 points. A score of 0~4 points is classified as normal, 5~9 points as mild, 10~14 points as moderate, and 15 points or higher as severe anxiety. This scale is a self-report questionnaire and does not constitute a psychiatric diagnosis. In this study, scores of 10 or higher were considered indicative of GAD [15].

4) Data Collection

The data utilized in this study were obtained from publicly available sources and disseminated for general use. This study employed anonymized data in the form of unique identifiers that precluded personal identification, obtained through the KNHANES website (https://knhanes.kdca.go.kr/knhanes/main.do) operated by the Korea Disease Control and Prevention Agency (KDCA). Furthermore, the raw data are publicly available to the general public through the KNHANES website (https://knhanes.kdca.go.kr/) of the KDCA.

4. Analysis Method

Data were analyzed using the SPSS Statistics 26.0 program (IBM Corp., Armonk, NY, USA). The significance level was set at .05 to test the statistical significance of the research hypotheses. The weights employed in this study were derived according to the KNHANES data guidelines, and the analysis was conducted with the explicit assurance that any missing values were deemed valid.

The analysis employed a complex sample chi-square test to examine factors related to GAD based on the general characteristics of the subjects. Factors influencing the GAD of the subjects were analyzed using complex sample logistic regression.

RESULTS

1. Subject Characteristics

An analysis of the demographic characteristics, health status, and GAD characteristics of individuals aged 65 and older revealed that 3.9% had GAD. Most respondents were female (55.9%), had an education level of elementary school or below (46.4%), and reported having a “low” income (41.0%). Not smoking (90.5%), drinking alcohol (66.9%), and having “adequate” sleep duration (54.6%) received a high number of responses. A large number of responses indicated “no” chewing discomfort (66.4%) and “no” speaking discomfort (88.7%). SRH was most commonly rated as “poor” (72.2%) (Table 1).

Characteristics of Study Participants Unit*

2. GAD by Subject Characteristics

GAD showed statistically significant differences by subject characteristics, including sex (p=.034), smoking (p=.042), alcohol consumption (p=.003), sleep duration (p=.005), chewing discomfort (p<.001), speaking discomfort (p<.001), and SRH (p=.016). Women had a higher prevalence of GAD compared with men. Current non-smokers and those who consumed alcohol also had a higher prevalence of GAD. Further, GAD was more prevalent among groups with insufficient or excessive sleep duration, those experiencing chewing discomfort, and those experiencing speaking discomfort. GAD was also more prevalent among those with poor SRH (Table 2).

Generalized Anxiety Disorder According to General Characteristics*

3. Factors Influencing GAD

Logistic regression analysis was performed to identify the factors influencing GAD. Univariate analysis revealed statistically significant differences in sex (p<.001), alcohol consumption (p=.004), sleep duration (p=.006), chewing discomfort (p<.001), speaking discomfort (p<.001), and SRH (p=.020). The group reporting chewing discomfort had a 3.54 times higher prevalence of GAD than the group without such discomfort, while the group reporting speaking discomfort had a 3.06 times higher prevalence of GAD than the group without such discomfort. In groups reporting poor SRH, the prevalence of GAD was 2.88 times higher. Individuals who consume alcohol had a 2.53 times higher prevalence of GAD than those who do not drink. Additionally, those with insufficient or excessive sleep duration had a 2.33 times higher prevalence of GAD than those with adequate sleep duration. Compared with men, women had a 1.80 times higher prevalence of GAD.

A multivariate analysis was conducted to identify factors associated with GAD while considering the interactions between the variables. This analysis yielded statistically significant results for sleep duration (p=.031) and chewing discomfort (p=.008). Individuals with insufficient or excessive sleep duration had a 2.07 times higher prevalence of GAD than those with adequate sleep duration, while those reporting chewing discomfort had a 2.49 times higher prevalence of GAD (Table 3).

Associated Factors of Generalized Anxiety Disorder

DISCUSSION

This study was conducted using KNHANES IX-1 (2022) data to determine the factors influencing GAD among Korean older adults. The results indicate that sex, smoking, alcohol consumption, sleep duration, speaking discomfort, chewing discomfort, and SRH are associated with GAD, with sleep and chewing discomfort identified as factors influencing GAD.

In this study, 66 out of 1,613 subjects were classified as having GAD, accounting for 3.9% of the sample. The prevalence of GAD was higher among those aged 75 and older than among those aged 65~74. A study of 379 female older adults living alone based on KNHANES VIII-3 (2021) data [16] found that 7.5% had GAD, while the Seoul survey on older adults [17], using the same instrument in 2024, reported that 6.4% had GAD. It is important to note that the prevalence of GAD is gradually rising. According to a report by the Health Insurance Review and Assessment Service [18]., the number of patients with anxiety disorders, including GAD, among individuals aged 60 and older increased by 31.7% for those in their 60s, by 13.6% for those in their 70s, and by 35% for those aged 80 and older in 2021 compared with 2017. In addition, Kim and Lee [3] reported that the association between stress and GAD manifested with greater intensity in the middle-old (76~84 years) than in the young-old (65~74 years). This phenomenon can be attributed to the decline in physical function and health issues associated with aging, which often leads to reduced independence. Concurrently, changes in social roles, the loss of spouses and peers, and anxiety about death can result in a diminution of social support networks. These factors contribute to a heightened risk of mental health concerns [3,8]. The findings indicate the need for a systematic, preventive approach to mental health in older adulthood, suggesting that a multifaceted strategy is imperative. This strategy should encompass stress management programs, health promotion activities, and the activation of social support networks for older adults. South Korea became a super-aged society [19] in December 2024. As such, it has an ongoing need to prioritize the physical and mental health and well-being of its older adult population amidst the accelerating aging process, necessitating the formulation of policy directives that address the social, cultural, and national dimensions of these issues. The issue of population aging has evolved from a personal concern to a collective challenge necessitating systematic and sustained efforts from various stakeholders, including families, the government, and the broader community.

This study found sex, smoking, alcohol consumption, sleep duration, speaking discomfort, chewing discomfort, and SRH to be associated with GAD among older adults. In other words, older women, individuals who non-smoke, those who consume alcohol, those with insufficient or excessive sleep duration, those experiencing chewing and speaking discomfort, and those with poor SRH are at higher risk for GAD. The 2024 Seoul survey on older adults [17] also found that women exhibited a higher prevalence of GAD compared with men, and the National Mental Health Survey [20] reported that women had a 2.9 times higher prevalence, supporting the findings of this study. Mental health concerns, encompassing mental illness, have been demonstrated to be associated with detrimental health practices, including alcohol consumption and smoking [21]. Rather than alcohol consumption or smoking being the cause of anxiety, it is anxiety that perpetuates these behaviors [22]. Studies have suggested that smoking may increase the likelihood of anxiety disorders and that quitting smoking can reduce anxiety [22,23]. However, this study also found that non-smokers had a higher prevalence of GAD, which contrasts with previous studies. This result warrants further investigation, and future research should explore the potential connections and underlying factors behind this finding. Further, a previous study has demonstrated that individuals with poorer subjective mental health status exhibit a heightened propensity for elevated anxiety levels [17], a finding that aligns with the results of this study. In other words, older adults with higher levels of social participation tend to perceive their subjective health status more positively and exhibit greater satisfaction with their health [24]. This implies that standards and policy-level response strategies are needed to promote social participation among older adults. It is essential to augment existing initiatives that facilitate collaboration between local public health centers and senior welfare facilities, with the objective of enhancing the health behaviors of the older adult population.

In this study, the factors contributing to GAD were sleep duration and chewing discomfort. Insomnia has been observed in 44% of anxiety disorder cases [25]. Moreover, depression and GAD have been identified as contributing factors to sleep disorders experienced by older adults [26]. The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR) diagnostic criteria for GAD encompass a range of anxiety-related symptoms, including insomnia [4]. Sleep deprivation among older adults is associated with loneliness and social support [27], which ultimately affects emotional well-being, physical activity, and quality of life. Therefore, it is imperative to provide medication for GAD, in conjunction with enhancing interpersonal functioning through psychotherapy and involving family members in all treatment plans. In light of the constraints encountered by older adults when independently enhancing their sleep hygiene, the provision of education and interventions through community systems, such as public health centers and senior welfare facilities, is of paramount importance.

Further, this study identified chewing discomfort as a contributing factor to GAD, a finding that is further substantiated by prior research demonstrating a positive correlation between higher chewing discomfort scores and higher GAD scores [7]. Additionally, a higher prevalence of GAD was observed among individuals who used dentures. This observation is corroborated by findings from several studies that reported an association between diminished oral health–related satisfaction and the presence of chewing discomfort [10]. GAD has a negative impact on individuals as it reduces oral saliva secretion and increases the secretion of stress hormones [28]. Chewing discomfort has been associated with a number of health complications and social isolation due to communication difficulties resulting from reduced motor function caused by malnutrition and impaired pronunciation [7]. Therefore, chewing discomfort not only affects GAD but also reduces aesthetic appeal and impairs interpersonal relationships [10], underscoring the need for enhanced oral health policy to facilitate appropriate promotion and prevention approaches in the field of oral health.

Maintaining ego-integrity represents a pivotal developmental endeavor in older adulthood. Ego-integrity is defined as the psychological need to review past experiences, evaluate and accept the life one has lived as a worthwhile existence, and bring closure to it. As a multitude of factors have been identified as contributors to ego-integrity, including depression in old age, anxiety about death, and social activities [29], individuals, families, communities, and the state must collaborate to address the welfare, psychological, and social issues of older adults, thereby facilitating their adaptation in later life. Because anxiety is a significant predictor of quality of life [30], efforts to build social support and residential infrastructure are expected to help alleviate anxiety disorders. Moreover, as evidenced by the findings of this study and previous research [3,8,18], symptoms of GAD are comparatively minimal among the young-old (65~74 years). Therefore, both education and preparation tailored to each life stage for healthy aging (well-aging) are required, starting with early old age.

This study used KNHANES data, which were not collected specifically to identify factors influencing GAD among Korean older adults. Therefore, it has certain limitations in terms of fully identifying the diverse factors contributing to GAD in this population. Nevertheless, it is significant that this study has identified factors contributing to GAD among older adults, thereby providing a framework for health management policies targeting this population, including personal characteristics, sociocultural characteristics, and oral health–related factors.

CONCLUSION

This study identified factors influencing GAD among Korean older adults using KNHANES IX-1 (2022) data. Among the 1,613 subjects, 66 (3.9%) were classified as having GAD. The variables associated with GAD among older adults included sex, smoking, alcohol consumption, sleep duration, speaking discomfort, chewing discomfort, and SRH. Sleep duration and chewing discomfort emerged as factors influencing GAD. This study constitutes a secondary data analysis, and while it can identify factors related to GAD, its limitation lies in its inability to elucidate causal relationships. Given this study’s findings, a follow-up study that considers additional influencing factors not covered in this study will be required.

Notes

Authors' contribution

Study conception and design acquisition - HSC and GYK; Data collection - HSC and GYK; Analysis and interpretation - HSC and GYK; Writing–original draft & review & editing - HSC and GYK; Final approval - HSC and GYK

Conflict of interest

No existing or potential conflict of interest relevant to this article was reported.

Funding

This research was supported by Kyungdong University Research Fund, 2022.

Data availability

Please contact the corresponding author for data availability.

Acknowledgements

None.

References

1. Kang WS, Moon JW, Park JS. The relationship among abuse, self-esteem, ADL, psychosocial factors and depression in the elderly. Health and Social Science 2011;(29):153–83.
2. Lim JY, Jeon GY. Elderly’s stress and anxiety: the mediating effects of cognition of threatening situation and meaning in life. Journal of the Korean Gerontological Society 2012;32(1):257–72.
3. Kim HR, Lee SE. Analysis of predictive factors for generalized anxiety disorder and depression in older adults: utilizing decision tree analysis. The Korea Journal of Sports Science 2024;33(6):578–86. https://doi.org/10.35159/kjss.2024.12.33.6.578. 10.35159/kjss.2024.12.33.6.578.
4. American Psychiatric Association. Diagnostic and statistical manual of mental disorders, text revision DSM-5-TR 5th edth ed. Amer Psychiatric Pub Inc.; 2022.
5. Kim KH. Diagnosis and psychological assessment of generalized anxiety disorder. Journal of Korean Neuropsychiatric Association 2012;51(1):16–24. https://doi.org/10.4306/jknpa.2012.51.1.16. 10.4306/jknpa.2012.51.1.16.
6. Lim SJ. The associated factors with generalized anxiety disorder in Korean adolescents. Korean Public Health Research 2021;47(4):197–208. https://doi.org/10.22900/kphr.2021.47.4.014. 10.22900/kphr.2021.47.4.014.
7. Kim J, Choi Y, Seo M, Park S. Factors associated with generalized anxiety disorder among older adults: Korea National Health and Nutrition Examination Survey 2021. The Korean Journal of Health Service Management 2024;18(3):49–60. https://doi.org/10.12811/kshsm.2024.18.3.049. 10.12811/kshsm.2024.18.3.049.
8. Park S, Lee JE, Lee JE, Oh KS. Korean version of the geriatric anxiety scale: its reliability and validity. Clinical Psychology in Korea: Research and Practice 2023;9(2):235–51. https://doi.org/10.15842/CPKJOURNAL.PUB.9.2.235. 10.15842/CPKJOURNAL.PUB.9.2.235.
9. Okoro CA, Strine TW, Eke PI, Dhingra SS, Balluz LS. The association between depression and anxiety and use of oral health services and tooth loss. Community Dentistry and Oral Epidemiology 2012;40(2):134–44. https://doi.org/10.1111/j.1600-0528.2011.00637.x. 10.1111/j.1600-0528.2011.00637.x.
10. Kang HJ. Relationship between the presence and need for removable dentures and generalized anxiety disorder in Korean adults. Journal of Korean Society of Oral Health Science 2024;12(2):95–103. https://doi.org/10.33615/jkohs.2024.12.2.95. 10.33615/jkohs.2024.12.2.95.
11. Akhter R, Hannan MA, Okhubo R, Morita M. Relationship between stress factor and periodontal disease in a rural area population in Japan. European Journal of Medical Research 2005;10(8):352–7. 16131477.
12. AlJameel AH, AlSaleh LS, Bawazir NH, AlOmair AS, Almalki SA. How mental health correlates with subjective oral health status: a cross-sectional study among a group of university students. Nigerian Journal of Clinical Practice 2023;26(11):1716–22. https://doi.org/10.4103/njcp.njcp_330_23. 10.4103/njcp.njcp_330_23. 38044778.
13. Marshall TA, Warren JJ, Hand JS, Xie XJ, Stumbo PJ. Oral health, nutrient intake and dietary quality in the very old. Journal of the American Dental Association 2002;133(10):1369–79. https://doi.org/10.14219/jada.archive.2002.0052. 10.14219/jada.archive.2002.0052.
14. Petersen PE. The World Oral Health Report 2003: continuous improvement of oral health in the 21st century: the approach of the WHO Global Oral Health Programme. Community Dentistry and Oral Epidemiology 2003;31 Suppl 1:3–23. https://doi.org/10.1046/j..2003.com122.x. 10.1046/j..2003.com122.x. 15015736.
15. 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(10):1092–7. https://doi.org/10.1001/archinte.166.10.1092. 10.1001/archinte.166.10.1092. 16717171.
16. Lee J. Factors affecting the quality of life of female seniors living alone: using data from the 2021 Korea National Health and Nutrition Examination Survey. Journal of Muscle and Joint Health 2023;30(3):189–96. https://doi.org/10.5953/JMJH.2023.30.3.189. 10.5953/JMJH.2023.30.3.189.
17. Seoul Mental Health Welfare Center. 2024 Seoul city senior citizen awareness and fact survey report on mental health Seoul Mental Health Welfare Center; 2024.
18. Health Insurance Review & Assessment Service. Analysis of treatment status for depression and anxiety disorders over the past 5 years (2017-2021) Health Insurance Review & Assessment Service; 2022.
19. Korean Statistical Information Service (KOSIS). KOSIS statistical information system [Internet]. KOSIS; 2025. [cited 2025 Feb 15]. Available from: https://kosis.kr/search/search.do.
20. Ministry of Health and Welfare, ; National Center for Mental Health. National mental health survey 2021. Research Ministry of Health and Welfare, National Center for Mental Health; 2021. December. Report No. 11-1352629-000065-01.
21. Grant BF, Hasin DS, Chou SP, Stinson FS, Dawson DA. Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions. Archives of General Psychiatry 2004;61(11):1107–15. https://doi.org/10.1001/archpsyc.61.11.1107. 10.1001/archpsyc.61.11.1107. 15520358.
22. Murphy JM, Horton NJ, Monson RR, Laird NM, Sobol AM, Leighton AH. Cigarette smoking in relation to depression: historical trends from the Stirling County Study. The American Journal of Psychiatry 2003;160(9):1663–9. https://doi.org/10.1176/appi.ajp.160.9.1663. 10.1176/appi.ajp.160.9.1663. 12944343.
23. West R, Hajek P. What happens to anxiety levels on giving up smoking? The American Journal of Psychiatry 1997;154(11):1589–92. https://doi.org/10.1176/ajp.154.11.1589. 10.1176/ajp.154.11.1589. 9356569.
24. Jung H, Ahn BI. Self-perceived health among older adults participating in social activities: subjective health status and health satisfaction. Health and Social Welfare Review 2023;43(4):122–37. https://doi.org/10.15709/hswr.2023.43.4.122. 10.15709/hswr.2023.43.4.122.
25. Oh JE. Sleep disorders in the elderly. Korean Journal of Clinical Geriatrics 2015;16(2):37–43. https://doi.org/10.15656/kjcg.2015.16.2.37. 10.15656/kjcg.2015.16.2.37.
26. Ancoli-Israel S, Ayalon L. Diagnosis and treatment of sleep disorders in older adults. The American Journal of Geriatric Psychiatry 2006;14(2):95–103. https://doi.org/10.1097/01.JGP.0000196627.12010.d1. 10.1097/01.JGP.0000196627.12010.d1. 16473973.
27. Kang Y, Kim M, Lee G, Jung D, Ma RW. A study of social support, loneliness, sleep quality, and perceived health status among community-dwelling older adults. Journal of Korean Public Health Nursing 2012;26(2):303–13. https://doi.org/10.5932/JKPHN.2012.26.2.303. 10.5932/JKPHN.2012.26.2.303.
28. Ju OJ, Lee HK. The effects of adults’ mental health on subjective self-rated oral health: focusing on stress and generalized anxiety disorder. The Korean Journal of Health Service Management 2023;17(3):43–53. https://doi.org/10.12811/kshsm.2023.17.3.043. 10.12811/kshsm.2023.17.3.043.
29. Yeo IS, Kim CK. Effects of reminiscence function, depression, death-anxiety and social activity on the ego-integrity in the elderly. Korean Social Security Studies 2006;22(2):79–104.
30. Pascut S, Feruglio S, Crescentini C, Matiz A. Predictive factors of anxiety, depression, and health-related quality of life in community-dwelling and institutionalized elderly during the COVID-19 pandemic. International Journal of Environmental Research and Public Health 2022;19(17):10913. https://doi.org/10.3390/ijerph191710913. 10.3390/ijerph191710913. 36078630.

Article information Continued

Figure 1.

Research subject selection process. GAD-7=Generalized anxiety disorder-7; KNHANES IX=9th Korea National Health and Nutrition Examination Survey.

Table 1.

Characteristics of Study Participants Unit*

Variable Total Age group (year)
65~74 ≥75
Sex
 Male 729 (44.1) 448 (64.2) 281 (35.8)
 Female 884 (55.9) 527 (54.7) 357 (45.3)
Education
 ≤Elementary school 735 (46.4) 387 (49.0) 348 (51.0)
 Middle school 236 (15.4) 169 (70.8) 67 (29.2)
 High school 320 (22.8) 226 (70.0) 94 (30.0)
 College or above 192 (15.5) 138 (69.1) 54 (30.9)
Income
 Low 718 (41.0) 325 (43.3) 393 (56.7)
 Lower-middle 488 (29.9) 331 (66.1) 157 (33.9)
 Upper-middle 248 (17.9) 189 (72.5) 59 (27.5)
 High 156 (11.2) 129 (75.3) 27 (24.7)
Smoking
 No 1,447 (90.5) 850 (57.0) 597 (43.0)
 Yes 164 (9.5) 125 (77.4) 39 (22.6)
Alcohol consumption
 No 536 (33.1) 377 (71.4) 159 (28.6)
 Yes 1,076 (66.9) 598 (52.7) 478 (47.3)
Sleep duration
 Adequate 829 (54.6) 518 (61.0) 311 (39.0)
 Insufficient/excessive 650 (45.4) 403 (59.7) 247 (40.3)
Chewing discomfort
 No 1,061 (66.4) 688 (64.0) 373 (36.0)
 Yes 551 (33.6) 287 (48.8) 264 (51.2)
Speaking discomfort
 No 1,408 (88.7) 872 (60.8) 536 (39.2)
 Yes 203 (11.3) 103 (44.5) 100 (55.5)
Self-rated health
 Good 402 (27.8) 248 (61.7) 154 (38.3)
 Poor 1,086 (72.2) 672 (61.9) 414 (38.1)
Generalized anxiety disorder
 No 1,547 (96.1) 943 (59.4) 604 (40.6)
 Yes 66 (3.9) 32 (47.2) 34 (52.8)

Values are presented as number (%).

*

Proportion (%): weight.

Table 2.

Generalized Anxiety Disorder According to General Characteristics*

Variable Generalized anxiety disorder
p-value
No Yes
Sex .034
 Male 709 (97.3) 20 (2.7)
 Female 838 (95.2) 46 (4.8)
Age (year) .074
 65~74 943 (96.9) 32 (3.1)
 ≥75 604 (95.0) 34 (5.0)
Education .706
 ≤Elementary school 699 (95.6) 36 (4.4)
 Middle school 229 (97.2) 7 (2.8)
 High school 311 (97.0) 9 (3.0)
 College or above 185 (96.2) 7 (3.8)
Income .127
 Low 680 (94.7) 38 (5.3)
 Lower-middle 472 (97.2) 16 (2.8)
 Upper-middle 242 (97.8) 6 (2.2)
 High 150 (95.6) 6 (4.4)
Smoking .042
 No 1,385 (95.9) 62 (4.1)
 Yes 160 (98.5) 4 (1.5)
Alcohol consumption .003
 No 524 (98.0) 12 (2.0)
 Yes 1,022 (95.2) 54 (4.8)
Sleep duration .005
 Adequate 807 (97.7) 22 (2.3)
 Insufficient/excessive 614 (94.8) 36 (5.2)
Chewing discomfort <.001
 No 1,038 (97.8) 23 (2.2)
 Yes 508 (92.7) 43 (7.3)
Speaking discomfort <.001
 No 1,363 (96.8) 45 (3.2)
 Yes 182 (90.8) 21 (9.2)
Self-rated health .016
 Good 395 (98.3) 7 (1.7)
 Poor 1,033 (95.3) 53 (4.7)

Values are presented as number (%).

*

Proportion (%): weight;

By complex sample chi-square test.

Table 3.

Associated Factors of Generalized Anxiety Disorder

Variable Univariable*
Multivariable*
OR (95% CI) p-value OR (95% CI) p-value
Sex
 Male 1 1
 Female 1.80 (1.04~3.12) <.001 1.05 (0.52~2.14) .890
Age (year)
 65~74 1 1
 ≥75 1.63 (0.95~2.82) .077 1.08 (0.59~2.01) .797
Education
 ≤Elementary school 1.17 (0.46~2.97) .736 0.57 (0.20~1.61) .287
 Middle school 0.74 (0.22~2.48) .625 0.54 (0.15~1.92) .339
 High school 0.80 (0.26~2.46) .699 0.66 (0.20~2.24) .505
 College or above 1 1
Income
 Low 1.21 (0.47~3.10) .693 0.76 (0.27~1.80) .449
 Lower-middle 0.63 (0.23~1.68) .452 0.46 (0.15~1.34) .150
 Upper-middle 0.48 (0.14~1.60) .448 0.48 (0.14~1.45) .179
 High 1 1
Smoking
 No 1 1
 Yes 0.35 (0.12~1.01) .051 0.43 (0.14~1.35) .148
Alcohol consumption
 No 1 1
 Yes 2.53 (1.33~4.72) .004 1.95 (0.88~4.28) .098
Sleep duration
 Adequate 1 1
 Insufficient/excessive 2.33 (1.27~4.28) .006 2.07 (1.07~3.99) .031
Chewing discomfort
 No 1 1
 Yes 3.54 (2.08~6.03) <.001 2.49 (1.27~4.88) .008
Speaking discomfort
 No 1 1
 Yes 3.06 (1.71~5.48) <.001 1.68 (0.84~3.37) .144
Self-rated health(SRH)
 Good 1 1
 Poor 2.88 (1.18~7.02) .020 2.12 (0.84~5.38) .113
*

By complex sample logistic regression; CI=Confidence interval; OR=Odds ratio.