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ORIGINAL ARTICLE

Int J Public Health, 20 February 2023

Art Engagement and Risk of Type 2 Diabetes: Evidence From the English Longitudinal Study of Ageing

Xiaowen Wang,,Xiaowen Wang1,2,3Jie JiangJie Jiang3Yonghua HuYonghua Hu3Li-Qiang QinLi-Qiang Qin4Yuantao Hao
Yuantao Hao1*Jia-Yi Dong
Jia-Yi Dong2*
  • 1Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
  • 2Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
  • 3Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
  • 4Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China

Objectives: To examine the prospective association between art engagement and the risk of type 2 diabetes.

Methods: Adults aged ≥50 from the English Longitudinal Study of Ageing were asked about the frequency of art engagement, including going to the cinema, the art gallery or museum, and the theatre, a concert, or the opera. Cox proportional hazards regression models were used to examine the risk of type 2 diabetes associated with art engagement.

Results: During a median follow-up of 12.2 years, we identified 350 cases of type 2 diabetes from 4,064 participants through interviews. After multivariable adjustment, compared with people who never went to the cinema, those going to the cinema frequently had a significantly lower risk of developing type 2 diabetes (HR = 0.61, 95% CI: 0.44–0.86). After further adjustment for socioeconomic factors, the association was slightly attenuated but remained statistically significant (HR = 0.65, 95% CI: 0.46–0.92). Similar results were found for going to the theatre, a concert, or the opera.

Conclusion: Frequent art engagement may be associated with a lower risk of type 2 diabetes, which was independent of individuals’ socioeconomic factors.

Introduction

Art is a way to express feelings and emotions, exerting positive effects on one’s psychological states as well as physiological parameters. Participating in art activities is prone to be enjoyable, relaxing, active, stress-relieving, and socially interactive. The report of Taking Part showed that 77.5% of adults in England engaged in at least one art activity in 2013 and 2014 (1). There has been increasing interest in the role of art involved in health and wellbeing. A number of studies have found that art or cultural engagement was associated with a wide range of health outcomes, including wellbeing (24), chronic pain (5), anxiety (6), depression (7), dementia (8), cardiovascular diseases (911), and the chance of survival (12, 13).

The psychosomatic perspective on chronic diseases, especially cardiometabolic diseases, has received considerable attention. For instance, several previous cohort studies from Europe suggested that cultural or art participation could contribute to a lower risk of cardiovascular mortality (9, 10, 13). Our recent study among a Japanese population of 56,000 found that having hobbies, including engaging in enjoyable social activities (e.g., attending theater/art exhibitions, traveling), was associated with a 20% reduction in the risk of developing cardiovascular diseases within a 16-year follow-up (11). Apart from observational studies, intervention trials also reported that listening to music had a positive impact on aortic stiffness and wave reflections, which are markers of cardiovascular fitness (14). In addition, there was evidence that music therapy might improve glycemia among type 2 diabetes patients (15).

Despite the various health benefits associated with art engagement introduced above, it is largely unknown whether or not art engagement is associated with the risk of type 2 diabetes. Furthermore, people with a high level of socioeconomic status are more likely to participate in art activities, raising the concern that associations of art engagement with human health outcomes might be confounded by individuals’ socioeconomic status. Hereby, we aimed to examine the prospective association between art engagement and the risk of incident type 2 diabetes with considerations on possible confounding by socioeconomic factors.

Methods

Participants

The participants enrolled in our study were from the English Longitudinal Study of Ageing (ELSA), which is a nationally representative study among people aged 50 and over living in England. The design, sampling, and study procedure have been described before (16). Briefly, the first survey was from 2002 to 2003 (wave1), and repeated surveys were conducted biennially. The last survey was 2018–2019 (wave 9). In each wave, participants were interviewed by detailed questionnaires for their demographic characteristics, socioeconomic status, lifestyles, medication use, and history of diseases. Anthropometric and biological measures were also taken by trained medical staff. Ethical approval for the ELSA was obtained from the National Research Ethics Service. All the participants provided informed consent before this survey.

In this study, we treated wave 2 (2004–2005) as the baseline because body mass index (BMI) was not assessed at wave 1. The latest wave available for analysis was wave 9 (2018–2019). A total of 6,918 participants who had complete data on art engagement (going to the cinema; or going to an art gallery or museum; or going to the theatre, a concert, or the opera) at baseline and provided follow-up data on diabetes were included. Participants who had a history of diabetes, heart diseases, stroke or cancers, or had no measure of BMI, or had an extreme BMI (i.e., <14 or >40 kg/m2) at baseline were excluded. Finally, a total of 4,064 participants were included in the current analysis.

Assessment of Art Engagement

Participants were asked about the frequency of art engagement by three questions: “How often respondent goes to the cinema,” “How often respondent goes to an art gallery or museum” and “How often respondent goes to the theatre, a concert or the opera.” Six options were provided for each question: “Twice a month or more,” “About once a month,” “Every few months,” “About once or twice a year,” “Less than once a year,” and “Never.” Due to the limited number of participants, we regrouped them into three categories: never, infrequent (about once or twice a year; less than once a year), and frequent (twice a month or more; about once a month; every few months).

Covariates

The covariates included age, sex, ethnicity, marital status, smoking status, drinking status, level of physical activity, depressive symptoms measured by the Centre for Epidemiological Studies Depression scale, and self-reported doctoral diagnoses of hypertension and high cholesterol. Socioeconomic factors included household non-pension wealth (income), educational qualification, and occupation defined by the National Statistics Socioeconomic Classification. Height and weight were objectively measured during the nurse visit at wave 2, and BMI was calculated as weight (kg)/height (m)2.

Assessment of Outcome

Incident type 2 diabetes cases were identified from wave 3 (2006–2007) to wave 9 (2018–2019). In each wave, participants were asked whether they had diabetes or a high blood sugar diagnosis newly reported since their last interview. Previous study has reported a high concordance between self-reported and clinically diagnosed diabetes in the ELSA study (17). Participants were censored at the wave when the outcome was newly reported, the wave when drop-out occurred, or the latest wave 9, whichever came first.

Statistical Analyses

Differences in baseline characteristics were tested by ANOVA test for continuous variables or Chi-Square test for categorical variables with multiple comparison test correction. To examine the association between art engagement and incident type 2 diabetes risk, we estimated hazard ratios (HRs) and 95% confidence intervals (CIs) by using the Cox proportional hazards regression model. The proportional hazards assumption was evaluated by likelihood ratio test, and no violations were detected (p > 0.05 for all tests). Individuals who were never engaged with art were treated as the reference group throughout the analysis. Model 1 was only adjusted for age. Model 2 was further adjusted for sex, ethnicity (white/non-white), marital status (six categories), smoking status (yes/no), drinking status (eight categories), level of physical activity (five categories), BMI (quintiles), depression (yes/no), history of hypertension (yes/no), and history of high cholesterol (yes/no). Model 3 was further adjusted for socioeconomic factors, including household income (quintiles), educational qualifications (seven categories), and occupation (nine categories). We also conducted interaction analysis to examine whether sex could modify the association between art engagement and risk of type 2 diabetes by adding a cross-product term between art engagement and sex into the models. In addition, we conducted a sensitivity analysis to test the stability of the association by excluding cases identified during the first 2 years of follow-up. The sample weights were calculated by using a combination of the design and non-response weights that are available to the users with the ELSA data, therefore all analytical models were weighted to be representative of the English population. All analyses were performed using SAS version 9.4 (SAS Institute Inc.). p values <0.05 were considered statistically significant except where otherwise stated.

Results

The baseline characteristics of participants according to art engagement were presented in Table 1. Compared to those never going to cinema, participants going to cinema frequently were more likely to be younger, to have a lower BMI, a higher socioeconomic status, and a healthier lifestyle and less likely to have high blood pressure or depressive symptoms. Similar patterns were found for going to an art gallery or museum, and going to the theatre, a concert, or the opera (Table 1).

TABLE 1
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TABLE 1. Baseline characteristics of participants according to art engagement (Beijing, China. 2023).

As shown in Table 2, we identified 350 cases of type 2 diabetes among 4,064 participants during a median of 12.2 years of follow-up. In the age-adjusted model, compared with people who never went to the cinema, those going to the cinema frequently had a significant lower risk of developing type 2 diabetes (HR = 0.46, 95% CI: 0.33–0.64). After further adjustment for sex, BMI, ethnicity, marital status, smoking status, drinking status, level of physical activity, depression, history of hypertension, and history of high cholesterol, compared with people who never went to the cinema, those going to the cinema frequently had a significant lower risk of type 2 diabetes (HR = 0.61, 95% CI: 0.44–0.86). After further adjustment for socioeconomic factors, including education level, occupation, and household income, the association was slightly attenuated but remained statistically significant (HR = 0.65, 95% CI: 0.46–0.92). Similarly, in the age-adjusted model, compared with people who never went to the theatre, a concert, or the opera, those going frequently had a significant lower risk of developing type 2 diabetes (HR = 0.40, 95% CI: 0.30–0.55). After multivariable adjustment, those who engaged frequently still had a significant lower risk of type 2 diabetes (HR = 0.59, 95% CI: 0.43–0.82). Further adjustment for socioeconomic factors changed the association a little (HR = 0.61, 95% CI: 0.43–0.87). The association for going to an art gallery or museum was detected in the age-adjusted model (HR = 0.60, 95% CI: 0.43–0.83) but disappeared after multivariable adjustment (HR = 0.92, 95% CI: 0.65–1.30 and HR = 1.03, 95% CI: 0.71–1.49).

TABLE 2
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TABLE 2. Association between art engagement frequency and risk of type 2 diabetes (Beijing, China. 2023).

Interaction analysis showed that sex did not modify the association between art engagement and risk of type 2 diabetes (p-value for interaction = 0.29 for going to the cinema, 0.79 for going to an art gallery or museum, and 0.20 for going to the theatre, a concert, or the opera). We next performed a sensitivity analysis by excluding cases identified within the first 2 years of follow-up. The associations were stable and not materially altered.

Discussion

In this longitudinal study, we observed that frequent art engagement, especially going to the cinema and going to the theatre, a concert, or the opera, was associated with a lower risk of developing type 2 diabetes. These findings were robust even after adjustment for socioeconomic factors, indicating the association of art engagement with risk of type 2 diabetes may be independent of individuals’ socioeconomic status.

To our knowledge, this is the first prospective cohort study to show a potential protective role of some forms of art engagement in the prevention of type 2 diabetes. A meta-analysis of five randomized controlled trials showed that art therapy, including music therapy and painting therapy, positively lower the level of blood glucose among people with diabetes (mean difference: −0.90, 95% CI: −1.03, −0.77; p < 0.0001), though there was no effect on glycated hemoglobin, indicating the potential improved function of hypothalamic-pituitary-adrenal (HPA) axis and reduction of cortisol level (18). In addition, in line with our study, several attempts have been made to explore some specific art activity or interventions associated with type 2 diabetes. For example, a clinical trial observed a significant difference in glucose levels before and after music therapy (p < 0.001), and listening to the music was associated with a 20% level of glucose reduction among people with type 2 diabetes (15). Another randomized controlled trial suggested that yoga and music therapy in combination with standard care exerted beneficial effects on glycemic control, lipid profile, weight, and self-efficacy in type 2 diabetes management (19). Art, music, and dance therapy has been categorized into mind-body medicine as complementary and alternative healthcare (20). Our study also indicated that collaboration between conventional diabetes preventing measures and art or relaxation engagement is recommended.

Potential mechanisms warrant discussion. Art engagement has been shown to be associated with good satisfaction with life (4), improved mental health, and lower levels of anxiety and depression (7, 21). The stress response was partly involved in the pathogenesis of type 2 diabetes. Psychological disorders may result in HPA abnormalities, high levels of cortisol, and neuroendocrine dysfunctions, leading to insulin resistance and abdominal obesity (15, 22). The use of biofeedback and relaxation was associated with chronic stress responding, peripheral vasoconstriction, muscle tension, and level of cortisol and catecholamines. It was reported that biofeedback-assisted relaxation therapy might lower blood glucose and glycated hemoglobin among people with type 2 diabetes (23). It is worth noting that art engagement in the form of art gallery/museum visits was not shown to have statistically significant associations with type 2 diabetes in the multivariable models. The perception of melody, harmony, and rhythm of sound and music, such as going to the cinema or going to the theatre, a concert, or the opera, might provide more enhanced neurophysiological benefits that build mental resilience and offset the detrimental physiological process implicated in type 2 diabetes, including the release of glucose and lipids into the circulation, poor glycemic control, neuroendocrine dysfunction, chronic inflammation, and increased blood pressure (2426). It was suggested that classical music could alter the activity of the neurotransmitter epinephrine by which influencing the glucose release and β-cells function (15). Nevertheless, this finding should be also interpreted with caution due to residual confounders or limited statistical power. Further studies are helpful to evaluate the impact of specific type of art engagement on more detailed physiological and metabolic parameters and outcomes.

Additionally, outside art engagement may combine a number of protective factors associated with type 2 diabetes, including increasing physical activities (13), enhancing cognitive and perceptual functions (8, 27), reducing loneliness (28) and improving social connectedness (29, 30). Engagement with music or other media acts as a social surrogate that could be a replacement for interaction with others (31). Similarly, going to cinema, the theatre, or the opera enabled adults to connect with the world by increasing social engagement and communication. In addition, some other outdoor social activities (such as bingo, dancing, church service, traveling, volunteering, study circles/courses), were observed to decrease the risk of diabetes and its complications (32). Social networks or relationships are essential for type 2 diabetes self-management through sharing knowledge, behavior change, and access to healthcare resources (33, 34). On the contrary, home art activities such as TV viewing are inclined to be sedentary and introversive, showing higher risk of type 2 diabetes after adjusting for physical activity. Sedentary behaviors of home art engagement might further exert adverse effect on glucose metabolism in the large skeletal muscles involved in posture (35). In addition, individuals who were often engaged with outside art activities might be of high socioeconomic status. A previous study indicated that only part of the association was due to differences in socioeconomic status (e.g., 9.1% explained by wealth) among those with and without art engagement (13). Nevertheless, statistical adjustment for socioeconomic factors did not alter the association.

The present study was strengthened by using a nationally representative population and a prospective cohort design with a long duration of follow-up. Several limitations should be addressed. First, this study was conducted among the English population, generalizability to other populations should be cautioned. Second, we only assessed art engagement at one timepoint, changes in art engagement behavior during follow-up were very likely to have biased the association toward the null. However, art engagement serves as a hobby that could be relatively stable over time and reflect habitual behaviors (11). Third, the assessment of type 2 diabetes was according to self-reported physician diagnosis, which possibly resulted in misclassification. Nevertheless, a high concordance has been previously reported between self-reported and clinically diagnosed cases of diabetes in the ELSA study (17). Furthermore, though multiple established risk factors including socioeconomic factors were adjusted, residual confounding cannot be excluded due to the observational design, potential measurement errors, and other unmeasured factors (e.g., dietary intakes).

In summary, frequent art engagement may be associated with a lower risk of type 2 diabetes, which appeared to be independent of individuals’ socioeconomic status. Whether art engagement could contribute to diabetes prevention in the general population warrants further investigations.

Ethics Statement

The studies involving human participants were reviewed and approved by Ethical approval for the ELSA was obtained from the National Research Ethics Service. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

XW: Conceptualization, data curation, writing- original draft preparation. J-YD: Conceptualization, formal analysis, writing- reviewing and editing. JJ: Data curation, writing- reviewing and editing. YH: Supervision, validation, writing- reviewing and editing. L-QQ: Validation, writing- reviewing and editing. YuH: Writing reviewing and editing.

Funding

This work is supported by the National key research and development program of China (Grant No. 2022YFC3600804). The ELSA study was developed by University College London, the Institute of Fiscal Studies, and the National Centre for Social Research. The developers and funders of ELSA had no roles in data analysis and interpretation or manuscript writing.

Conflict of Interest

The authors declare that they do not have any conflicts of interest.

Acknowledgments

The authors would like to thank the ELSA research group and the UK data archive for providing the data.

References

1.DCMS. Taking Part 2013/14, Focus on: Art Forms Statistical Release. London, UK: Department for Digital, Culture, Media and Sport (2015).

Google Scholar

2. Groot, B, de Kock, L, Liu, Y, Dedding, C, Schrijver, J, Teunissen, T, et al. The Value of Active Arts Engagement on Health and Well-Being of Older Adults: A Nation-wide Participatory Study. Int J Environ Res Public Health (2021) 18:8222. doi:10.3390/ijerph18158222

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Paolantonio, P, Cavalli, S, Biasutti, M, Pedrazzani, C, and Williamon, A. Art for Ages: The Effects of Group Music Making on the Wellbeing of Nursing Home Residents. Front Psychol (2020) 11:575161. doi:10.3389/fpsyg.2020.575161

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Tymoszuk, U, Perkins, R, Spiro, N, Williamon, A, and Fancourt, D. Longitudinal Associations between Short-Term, Repeated, and Sustained Arts Engagement and Well-Being Outcomes in Older Adults. J Gerontol B Psychol Sci Soc Sci (2020) 75:1609–19. doi:10.1093/geronb/gbz085

PubMed Abstract | CrossRef Full Text | Google Scholar

5. van Hecke, O, Torrance, N, and Smith, BH. Chronic Pain Epidemiology and its Clinical Relevance. Br J Anaesth (2013) 111:13–8. doi:10.1093/bja/aet123

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Keisari, S, Hoffman, Y, Ring, L, and Palgi, Y. The Moderating Effect of Older Adults' Receptive Arts Engagement on the Association between Resilience and Anxiety Symptoms during Coronavirus Breakout. J Nerv Ment Dis (2021) 209:443–8. doi:10.1097/NMD.0000000000001326

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Fancourt, D, and Tymoszuk, U. Cultural Engagement and Incident Depression in Older Adults: Evidence from the English Longitudinal Study of Ageing. Br J Psychiatry (2019) 214:225–9. doi:10.1192/bjp.2018.267

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Fancourt, D, Steptoe, A, and Cadar, D. Cultural Engagement and Cognitive reserve: Museum Attendance and Dementia Incidence over a 10-year Period. Br J Psychiatry (2018) 213:661–3. doi:10.1192/bjp.2018.129

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Lokken, BI, Merom, D, Sund, ER, Krokstad, S, and Rangul, V. Association of Engagement in Cultural Activities with Cause-specific Mortality Determined through an Eight-Year Follow up: The HUNT Study, Norway. Norway PloS One (2021) 16:e0248332. doi:10.1371/journal.pone.0248332

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Vaananen, A, Murray, M, Koskinen, A, Vahtera, J, Kouvonen, A, and Kivimaki, M. Engagement in Cultural Activities and Cause-specific Mortality: Prospective Cohort Study. Prev Med (2009) 49:142–7. doi:10.1016/j.ypmed.2009.06.026

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Wang, X, Dong, JY, Shirai, K, Yamagishi, K, Kokubo, Y, Saito, I, et al. Having Hobbies and the Risk of Cardiovascular Disease Incidence: A Japan Public Health center-based Study. A Jpn Public Health Center-Based Study Atheroscler (2021) 335:1–7. doi:10.1016/j.atherosclerosis.2021.09.002

CrossRef Full Text | Google Scholar

12. Konlaan, BB, Bygren, LO, and Johansson, SE. Visiting the Cinema, Concerts, Museums or Art Exhibitions as Determinant of Survival: a Swedish Fourteen-Year Cohort Follow-Up. Scand J Public Health (2000) 28:174–8. doi:10.1080/140349400444869

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Fancourt, D, and Steptoe, A. The Art of Life and Death: 14 Year Follow-Up Analyses of Associations between Arts Engagement and Mortality in the English Longitudinal Study of Ageing. BMJ (2019) 367:l6377. doi:10.1136/bmj.l6377

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Vlachopoulos, C, Aggelakas, A, Ioakeimidis, N, Xaplanteris, P, Terentes-Printzios, D, Abdelrasoul, M, et al. Music Decreases Aortic Stiffness and Wave Reflections. Atherosclerosis (2015) 240:184–9. doi:10.1016/j.atherosclerosis.2015.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Cioca, IE. Type-2 Diabetes - Psychosomatic Disease Approachable through Music Therapy. Proc Rom Acad Ser B (2013) 15:38–46.

Google Scholar

16. Steptoe, A, Breeze, E, Banks, J, and Nazroo, J. Cohort Profile: the English Longitudinal Study of Ageing. Int J Epidemiol (2013) 42:1640–8. doi:10.1093/ije/dys168

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Hackett, RA, Hudson, JL, and Chilcot, J. Loneliness and Type 2 Diabetes Incidence: Findings from the English Longitudinal Study of Ageing. Diabetologia (2020) 63:2329–38. doi:10.1007/s00125-020-05258-6

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Yang, Q, Shao, Q, Xu, Q, Shi, H, and Li, L. Art Therapy Alleviates the Levels of Depression and Blood Glucose in Diabetic Patients: A Systematic Review and Meta-Analysis. Front Psychol (2021) 12:639626. doi:10.3389/fpsyg.2021.639626

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Singh, V, Khandelwal, B, and Sherpa, N. Effect of Yoga and Music Therapy with Standard Diabetes Care in Type II Diabetes Mellitus: A Randomized Control Study. Int J Adv Res (2015) 3:386–99.

Google Scholar

20. Tabish, SA. Complementary and Alternative Healthcare: Is it Evidence-Based? Int J Health Sci (Qassim) (2008) 2:V–IX.

PubMed Abstract | Google Scholar

21. Wang, S, Mak, HW, and Fancourt, D. Arts, Mental Distress, Mental Health Functioning & Life Satisfaction: Fixed-Effects Analyses of a Nationally-Representative Panel Study. BMC Public Health (2020) 20:208. doi:10.1186/s12889-019-8109-y

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Rosmond, R, and Bjorntorp, P. The Hypothalamic-Pituitary-Adrenal axis Activity as a Predictor of Cardiovascular Disease, Type 2 Diabetes and Stroke. J Intern Med (2000) 247:188–97. doi:10.1046/j.1365-2796.2000.00603.x

PubMed Abstract | CrossRef Full Text | Google Scholar

23. McGinnis, RA, McGrady, A, Cox, SA, and Grower-Dowling, KA. Biofeedback-assisted Relaxation in Type 2 Diabetes. Diabetes Care (2005) 28:2145–9. doi:10.2337/diacare.28.9.2145

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Ungar, M, and Theron, L. Resilience and Mental Health: How Multisystemic Processes Contribute to Positive Outcomes. Lancet Psychiatry (2020) 7:441–8. doi:10.1016/S2215-0366(19)30434-1

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Vuust, P, Heggli, OA, Friston, KJ, and Kringelbach, ML. Music in the Brain. Nat Rev Neurosci (2022) 23:287–305. doi:10.1038/s41583-022-00578-5

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Hackett, RA, and Steptoe, A. Type 2 Diabetes Mellitus and Psychological Stress - a Modifiable Risk Factor. Nat Rev Endocrinol (2017) 13:547–60. doi:10.1038/nrendo.2017.64

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Petrovsky, DV, Wu, B, Hodgson, NA, and Dong, X. Art Attendance and Change in Cognitive Function Among U.S. Community-Dwelling Chinese Older Adults. J Appl Gerontol (2021) 41:1047–56. doi:10.1177/07334648211017339

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Tymoszuk, U, Perkins, R, Fancourt, D, and Williamon, A. Cross-sectional and Longitudinal Associations between Receptive Arts Engagement and Loneliness Among Older Adults. Soc Psychiatry Psychiatr Epidemiol (2020) 55:891–900. doi:10.1007/s00127-019-01764-0

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Tymoszuk, U, Spiro, N, Perkins, R, Mason-Bertrand, A, Gee, K, and Williamon, A. Arts Engagement Trends in the United Kingdom and Their Mental and Social Wellbeing Implications: HEartS Survey. HEartS Surv PloS One (2021) 16:e0246078. doi:10.1371/journal.pone.0246078

CrossRef Full Text | Google Scholar

30. Perkins, R, Mason-Bertrand, A, Tymoszuk, U, Spiro, N, Gee, K, and Williamon, A. Arts Engagement Supports Social Connectedness in Adulthood: Findings from the HEartS Survey. Surv BMC Public Health (2021) 21:1208. doi:10.1186/s12889-021-11233-6

CrossRef Full Text | Google Scholar

31. Schäfer, K, and Eerola, T. How Listening to Music and Engagement with Other media Provide a Sense of Belonging: An Exploratory Study of Social Surrogacy. Psychol Music (2020) 48:232–51. doi:10.1177/0305735618795036

CrossRef Full Text | Google Scholar

32. Marseglia, A, Wang, HX, Rizzuto, D, Fratiglioni, L, and Xu, W. Participating in Mental, Social, and Physical Leisure Activities and Having a Rich Social Network Reduce the Incidence of Diabetes-Related Dementia in a Cohort of Swedish Older Adults. Diabetes Care (2019) 42:232–9. doi:10.2337/dc18-1428

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Spencer-Bonilla, G, Ponce, OJ, Rodriguez-Gutierrez, R, Alvarez-Villalobos, N, Erwin, PJ, Larrea-Mantilla, L, et al. A Systematic Review and Meta-Analysis of Trials of Social Network Interventions in Type 2 Diabetes. BMJ Open (2017) 7:e016506. doi:10.1136/bmjopen-2017-016506

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Schram, MT, Assendelft, WJJ, van Tilburg, TG, and Dukers-Muijrers, NHTM. Social Networks and Type 2 Diabetes: a Narrative Review. Diabetologia (2021) 64:1905–16. doi:10.1007/s00125-021-05496-2

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Patterson, R, McNamara, E, Tainio, M, de Sa, TH, Smith, AD, Sharp, SJ, et al. Sedentary Behaviour and Risk of All-Cause, Cardiovascular and Cancer Mortality, and Incident Type 2 Diabetes: a Systematic Review and Dose Response Meta-Analysis. Eur J Epidemiol (2018) 33:811–29. doi:10.1007/s10654-018-0380-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cohort study, type 2 diabetes, prospective study, art engagement, English Longitudinal Study of Ageing

Citation: Wang X, Jiang J, Hu Y, Qin L-Q, Hao Y and Dong J-Y (2023) Art Engagement and Risk of Type 2 Diabetes: Evidence From the English Longitudinal Study of Ageing. Int J Public Health 68:1605556. doi: 10.3389/ijph.2023.1605556

Received: 02 November 2022; Accepted: 30 January 2023;
Published: 20 February 2023.

Edited by:

Salvatore Panico, University of Naples Federico II, Italy

Reviewed by:

Pier Luigi Sacco, University of Studies G. d’Annunzio Chieti and Pescara, Italy

Copyright © 2023 Wang, Jiang, Hu, Qin, Hao and Dong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yuantao Hao, haoyt@bjmu.edu.cn; Jia-Yi Dong, dongjy@mail3.sysu.edu.cn

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