Journal List > Korean J Adult Nurs > v.25(2) > 1094362

Choi, Kim, and Kim: Prevalence and Risk Factors of Sleep Disturbance in Community Dwelling Adults in Korea

Abstract

Purpose

The purpose of this study was to identify the prevalence and risk factors of sleep disturbance among community dwelling adults in Korea.

Methods

Data were collected from nine hundred fifty nine adults dwelling in a metropolitan city in Korea. Subjects were older than 45 years, did not take medication for sleep problems on a regular basis, and did not work at night. The Pittsburgh Sleep Quality Index was used to collect data about sleep disturbance. Sociodemographic, life style, and health related factors were included as risk factors. Chi square test and logistic stepwise regression were used to identify the risk factors.

Results

The prevalence of sleep disturbance was 13.1%. The significant risk factors were being female, age, number of toilet use at night, perceived health, and pain. Risk factors were somewhat different by gender. Emotional and job status were the risk factors only for men and menopausal status were for women.

Conclusion

Prevalence of sleep disturbance in community dwelling adults in Korea was not greater than those dwelling in other countries. Females, older adults, the number of toilet use at night, perceived health, and pain were the most important risk factors for sleep disturbances. Gender was a factor in reported sleep disturbances. It might be useful to investigate the factors that contribute to the number of toilet use at night as this might have some underlying factors that could be corrected.

REFERENCES

Alessi C. A.., Yoon E. J.., Schnelle J. F.., Al-Samarrai N. R.., Cruise P. A.1999. A randomized trial of a combined physical activity and environmental intervention in nursing home residents: Do sleep and agitation improve? Journal of American Geriatric Society. 47(7):784–791.
crossref
Asghari A.., Farhadi M.., Kamrava S. K.., Ghalehbaghi B.., Nojomi M.2012. Subjective sleep quality in urban population. Archives of Iranian Medicine. 15(2):95–98. http://dx.doi.org/012152/AIM.0010.
Bidulescu A.., Din-Dzietham R.., Coverson D. L.., Chen Z.., Meng Y. X.., Buxbaum S. G., et al. 2010. Interaction of sleep quality and psychosocial stress on obesity in African Americans: The cardiovascular health epidemiology study (CHES). BMC Public Health. 10(581):1–10.
crossref
Buysse D. J.., Germain A.., Moul D. E.., Franzen P.., Brar, L. K. Fletcher M. E., et al. 2005. Efficacy of brief behavioral treatment for chronic insomnia in older adults. Archives Internal Medicine. 171(10):887–895. http://dx.doi.org/10.1001/archinternmed.2010.535.
crossref
Buysse D. J.., Grunstein R.., Horne J.., Lavie P.2010. Can an improvement in sleep positively impact on health? Sleep Medicine Review. 14(6):405–410.
crossref
Buysse D. J.., Hall M. L.., Strollo P. J.., Kamarck T. W.., Owens J.., Lee L., et al. 2008. Relationships between the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and clinical/polysomnographic measures in a community sample. Journal of Clinical Sleep Medicine. 4(6):563–571.
crossref
Buysse D. J.., Reynolds C. F.., Monk T. H.., Berman S. R.., Kupfer D. J.1989. Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Research. 28:193–213.
Cho H. S.2002. Study on female's sleeping pattern and the sleeping disorder factors. Unpublished master's thesis, Ewha Womans University, Seoul.
Cho Y. W.., Shin W. C.., Yun C. H.., Hong S. B.., Kim J.., Earley C. J.2009. Epidemiology of insomnia in Korean adults: Prevalence and associated factors. Journal of Clinical Neurology. 5:20–23. http://dx.doi.org/10.3988/jcn.2009.5.1.20.
crossref
Choi H.., Kim S. J.., Kim B.., Kim I.2012. Korean versions of self-reported sleep questionnaires for research and practice on sleep disturbance. Korean Journal of Rehabilitation Nursing. 15(1):1–10.
crossref
Hayashino Y.., Yamazaki S.., Takegami M.., Nakayama T.., Soke-jima S.., Fukuhara S.2010. Association between number of comorbid conditions, depression, and sleep quality using the Pittsburgh Sleep Quality Index: Results from a population-based survey. Sleep Medicine. 11(4):366–371.
crossref
Kim I.., Kim S. J.., Choi H. J.., Kim B.2012. Psychometric properties of Korean Minimal Insomnia Screening Scale. Journal of Korean Academy of Nursing. 42(6):853–860. http://dx.doi.org/10.4040/jkan.2012.42.6.853.
crossref
Kim O. S.., Yang S. J.2007. Health status, sleeping, exercise, and nutrition of elderly women. Nursing Science. 19(2):1–9.
Kim S. M.1997. Sleep patterns and related factors of healthy adults. Journal of Korean Academy of Psychiatry and Mental Health Nursing. 6(1):116–131.
Yan Z.., Chang-Quan H.., Zhen-Chan L.., Bi-Rong D.2012. Association between sleep quality and body mass index among Chinese nonagenarians/centenarians. Age (Dordr). 34(3):527–537. http://dx.doi.org/10.1007/s11357-011-9251-3.
crossref
Zhang J.., Lam S. P.., Li S. X.., Tang N. L.., Yu M. W.., Li A. M., et al. 2012. Insomnia, sleep quality, pain, and somatic symptoms: Sex differences and shared genetic components. Pain. 153(3):666–673. http://dx.doi.org/10.1016/j.pain.2011.12.003.
crossref
Mezick E. J.., Hall M.., Matthews K. A.2011. Are sleep and depression independent or overlapping risk factors for car-diometabolic disease? Sleep Medicine Review. 15(1):51–63.
crossref
Ock S. M.., Ju S. Y.., Choi W. S.., Park H. M.., Jung K. Y.., Song C. J.2008. Association of sleep hours with obesity in adult women. Korean Journal of Obesity. 17(3):110–116.
Palmieri P. A.., Chipman K. J.., Canetti D.., Johnson R. J.., Hob-foll S. E.2010. Prevalence and correlates of sleep problems in adult Israeli Jews exposed to actual or threatened terrorist or rocket attacks. Journal of Clinical Sleep Medicine. 6(6):557–564.
crossref
Sohn S. I.., Kim D. H.., Lee M. Y.., Cho Y. W.2011. The reliability and validity of the Korean version of the Pittsburgh Sleep Quality Index. Sleep Breath. 16(3):803–812. http://dx.doi.org/10.1007/s11325-011-0579-9.
crossref
Wang T. J.., Lee S. C.., Tsay S. L.., Tung H. H.2010. Factors influencing heart failure patients' sleep quality. Journal of Advanced Nursing. 66(8):1730–1740.
crossref
Ware J.., Kosinski M.., Dewey J.., Gandek B.2001. How to score and interpret single-item health status measures: A manual for users of the SF-8 Health Survey. Boston: Qualy Metric.
Wong W. S.., Fielding R.2011. Prevalence of insomnia among Chinese adults in Hong Kong: A population-based study. Journal of Sleep Research. 20(1):117–226. http://dx.doi.org/10.1111/j.1365-2869.2010.00822.x.
crossref
Wu C. Y.., Su T. P.., Fang C. L.., Yeh Chang M.2012. Sleep quality among community-dwelling elderly people and its demographic, mental, and physical correlates. Journal of the Chinese Medical Association. 75:75–80. http://dx.doi.org/10.1016/j.jcma.2011.12.011.
crossref
Yan Z.., Chang-Quan H.., Zhen-Chan L.., Bi-Rong D.2012. Association between sleep quality and body mass index among Chinese nonagenarians/centenarians. Age (Dordr). 34(3):527–537. http://dx.doi.org/10.1007/s11357-011-9251-3.
crossref
Zhang J.., Lam S. P.., Li S. X.., Tang N. L.., Yu M. W.., Li A. M., et al. 2012. Insomnia, sleep quality, pain, and somatic symptoms: Sex differences and shared genetic components. Pain. 153(3):666–673. http://dx.doi.org/10.1016/j.pain.2011.12.003.
crossref

Table 1.
Difference Test on Sociodemographic, Life Style, and Health related Factors
Variables Characteristics Categories   Total Sleep disturbance x2 or t p
n (%) No Yes
n (%) n (%)
Sociodemographic Age (year) 45~54   320 (33.4) 297 (92.8) 23 (7.2) 25.02 <.001
55~64   320 (33.4) 282 (88.1) 38 (11.9)
≥65   319 (33.3) 254 (79.6) 65 (20.4)
Gender Male   480 (50.1) 430 (89.6) 50 (10.4) 6.24 .013
Female   479 (49.9) 403 (84.1) 76 (15.9)
Education <Elementary school   124 (12.9) 97 (78.2) 27 (21.8) 12.30 .006
Middle school   166 (17.4) 141 (84.9) 25 (15.1)
High school   546 (56.9) 482 (88.3) 64 (11.7)
≥College   123 (12.8) 113 (91.9) 10 (8.1)
Job Having a job   547 (57.0) 502 (91.8) 45 (8.2) 27.45 <.001
No job   247 (25.8) 196 (79.4) 51 (20.6)
Housewife   165 (17.2) 135 (81.8) 30 (18.2)
Life style Number of toilet use at night None   301 (31.4) 283 (94.0) 18 (6.0) 62.54 <.001
1   545 (56.8) 476 (87.3) 69 (12.7)
2   76 (7.9) 53 (69.7) 23 (30.3)
≥3   37 (3.9) 21 (56.8) 16 (43.2)
Smoking Yes   205 (78.6) 180 (87.8) 25 (12.2) 0.20 .727
No   754 (21.4) 653 (86.6) 101 (13.4)
Drinking Yes   456 (47.5) 399 (87.5) 57 (12.5) 0.31 .632
No   503 (52.5) 434 (86.3) 69 (13.7)
Regular exercise Yes   372 (38.8) 313 (84.1) 59 (15.9) 3.94 .050
No   587 (61.2) 520 (88.6) 67 (11.4)
Stressful events Yes   120 (12.5) 89 (74.2) 31 (25.8) 19.37 <.001
No   839 (87.5) 744 (88.7) 95 (11.3)
Health related Illness Yes   393 (41.0) 284 (75.5) 92 (24.5) 68.18 <.001
No   566 (59.0) 533 (94.2) 33 (5.8)
Type of illness Hypertension Yes 266 (27.7) 204 (76.7) 62 (23.3) 19.37 <.001
No 693 (72.3) 629 (90.8) 64 (9.2)
DM Yes 101 (10.5) 81 (80.2) 20 (19.8) 4.39 .043
No 858 (89.5) 752 (87.6) 106 (12.4)
Heart disease Yes 31 (3.2) 25 (80.6) 6 (19.4) 1.09 .212
No 928 (96.8) 808 (87.1) 120 (12.9)
Respiratory disease Yes 21 (2.2) 12 (57.1) 9 (42.9) 16.62 .001
No 938 (97.8) 821 (87.5) 117 (12.5)
Arthritis Yes 90 (9.4) 66 (73.3) 24 (26.7) 15.93 .001
No 869 (90.6) 767 (88.3) 102 (11.7)
Urinary incontinence Yes 24 (2.5) 16 (66.7) 8 (33.3) 8.80 .008
No 935 (97.5) 817 (87.4) 118 (12.6)
Cancer Yes 13 (1.4) 9 (69.2) 4 (30.8) 3.59 .079
No 946 (98.6) 824 (87.1) 122 (12.9)
Others Yes 41 (4.28) 28 (68.3) 13 (31.7) 12.94 .001
No 918 (95.72) 805 (87.7) 113 (12.3)
Medication Yes   334 (34.8) 248 (74.3) 86 (25.7) 71.40 <001
No   625 (65.2) 585 (93.6) 40 (6.4)
Perceived health Good   807 (84.2) 747 (92.6) 60 (7.4) 145.14 <.001
Bad   152 (15.8) 86 (56.6) 66 (43.4)
Menopausal status Pre   67 (14.0) 66 (98.5) 1 (1.5) 12.40 .002
During   28 (5.8) 24 (85.7) 4 (14.3)
Post   384 (80.2) 313 (81.5) 71 (18.5)
Pain Yes   292 (30.4) 197 (67.5) 95 (32.5) 138.39 <.001
No   667 (69.6) 636 (95.4) 31 (4.6)
Emotion Good   175 (18.2) 159 (90.9) 16 (9.1) 2.99 .050
Bad   784 (81.8) 674 (86.0) 110 (14.0)
BMI Underweight   12 (1.3) 9 (75.0) 3 (25.0) 13.36 .004
Normal   359 (37.4) 324 (90.3) 35 (9.7)
Overweight   343 (35.8) 302 (88.0) 41 (12.0)
Obese   245 (25.5) 198 (80.8) 47 (13.1)

DM=diabetes mellitus; BMI=body mass index.

Table 2.
Logistic Regression on Sleep Disturbance
Variables Characteristics Categories Step 1 Step 2 Step 3
OR (CI) OR (CI) OR (CI)
Sociodemographic variables Age (year) 45~54 Ref Ref Ref
55~64 1.61 (0.91~2.85) 1.41 (0.78~2.54) 1.30 (0.68~2.40)
≥65 2.48 (1.33~4.62)∗∗ 2.18 (1.14~4.17)∗ 2.39 (0.66~2.91)
Gender Male Ref Ref Ref
Female 1.31 (0.83~2.09) 1.26 (0.77~2.07) 1.00 (0.58~1.73)
Education ≤6 Ref Ref Ref
7~≤9 0.78 (0.42~1.44) 0.76 (0.39~1.46) 0.77 (0.37~1.62)
10~≤12 0.96 (0.54~1.71) 0.99 (0.54~1.82) 1.40 (0.69~2.85)
>12 0.79 (0.33~1.89) 0.84 (0.34~2.09) 1.25 (0.45~3.45)
Job Yes Ref Ref Ref
No 1.90 (1.15~3.14)∗ 1.33 (0.77~2.28) 1.09 (0.59~2.01)
Housewife 1.76 (0.96~3.21) 1.84 (0.98~3.45)∗ 1.28 (0.62~2.65)
Lifestyle related variable Number of toilet use at night None   Ref Ref
1 2.03 (0.16~0.54)∗ 1.38 (0.75~2.54)
2 5.06 (2.45~10.42)∗∗∗ 3.01 (1.35~6.71)∗∗
≥3 8.90 (3.73~21.23)∗∗∗ 4.10 (1.53~10.97)∗∗
Regular exercise Yes Ref Ref
No 0.67 ((0.45~1.00)∗ 0.64 (0.41~1.00)∗
Stressful event No Ref Ref
Yes 0.38 (0.23~0.63)∗∗∗ 0.71 (0.41~1.27)
Health related variables Illness No     Ref
Yes 1.28 (0.49~3.33)
Med No Ref
Yes 1.29 (0.51~3.26)
Perceived health Good Ref
Bad 2.79 (1.61~4.86)∗∗∗
Pain No Ref
Yes 4.80 (2.83~8.17)∗∗∗
Emotion Bad Ref
Good 0.51 (0.27~.98)
BMI Under Ref
Norm 0.29 (0.06~1.47)
Over 0.29 (0.06~1.48)
Obese 0.44 (0.09~2.25)

p<.05;

∗∗ p<.01;

∗∗∗ p<.001.

Table 3.
Logistic Regression Analysis on Sleep Disturbance by Gender
Variables Characteristics Categories Step 1 Step 2 Step 3
OR (CI) of Male OR (CI) of Female OR (CI) of Male OR (CI) of Female OR (CI) of Male OR (CI) of Female
Sociodemogrphic variables Age (year) 45~54 Ref Ref Ref Ref Ref Ref
55~64 0.92 (0.37~2.23) 2.15 (1.02~4.54)∗ 0.68 (0.26~1.79) 2.09 (0.95~4.61) 0.60 (0.19~1.84) 1.60 (0.55~4.67)
≥65 1.34 (0.48~3.74) 3.18 (1.39~7.28)∗∗ 1.09 (0.37~3.21) 2.95 (1.22~7.14)∗ 0.50 (0.13~1.90) 1.47 (0.46~4.70)
Education ≤6 Ref Ref Ref Ref Ref Ref
≤9 0.51 (0.17~1.58) 0.90 (0.43~1.89) 0.44 (0.13~1.47) 0.95 (0.42~2.119) 0.08 (0.02~0.37) 1.32 (0.53~3.26)
≤12 0.93 (0.36~2.39) 0.93 (0.45~1.93) 0.84 (0.31~2.29) 1.03 (0.46~2.29) 0.53 (0.16~1.81) 1.67 (0.67~4.20)
>12 0.56 (0.17~2.05) 0.87 (0.24~3.10) 0.62 (0.17~2.27) 0.91 (0.23~3.60) 0.61 (1.36~2.80) 1.31 (0.29~6.02)
Job Yes Ref Ref Ref Ref Ref Ref
No 3.80 (1.71~8.47)∗∗ 1.08 (0.54~2.16) 3.09 (1.30~7.33)∗ 0.65 (0.30~1.41) 4.10 (1.36~12.40)∗ 0.49 (0.20~1.17)
Housewife   1.26 (0.67~2.39)   1.24 (0.63~2.42)   0.77 (.35~1.70)
Lifestyle related variable Number of toilet use at night None   Ref Ref Ref Ref
1 2.78 (1.10~7.04)∗ 1.64 (0.81~3.35) 2.15 (0.75~6.18) 1.18 (0.53~2.65)
2 2.80 (0.79~9.94) 7.25 (2.87~18.33)∗∗∗ 0.98 (0.21~4.61) 6.40 (2.11~19.47)∗∗∗
≥3 18.55 (4.75~72.44)∗∗∗ 5.96 (1.80~19.74)∗∗ 15.82 (2.87~87.11)∗∗ 3.42 (0.89~13.16)
Regular exercise Yes Ref Ref Ref Ref
No 0.63 (0.34~1.19) 0.67 (0.39~0.52) 0.54 (0.24~1.20) 0.73 (0.40~1.35)
Stressful event No Ref Ref Ref Ref
Yes 0.61 (0.24~1.56) 0.27 (0.15~0.52)∗∗∗ 0.89 (0.26~3.05) 0.59 (0.27~1.18)
Health related variables Illness No   Ref Ref
Yes 5.21 (1.30~20.96)∗ 0.27 (0.05~1.50)
Med No Ref Ref
Yes 0.45 (0.12~1.75) 4.38 (0.84~22.93)
Perceived health Good Ref Ref
Bad 3.29 (1.13~9.56)∗ 3.06 (1.48~6.24)∗∗
Menopause Pre   Ref
During   16.10 (1.44~179.51)∗
Post   7.40 (0.76~71.74)
Pain No Ref Ref
Yes 10.82 (4.44~26.36)∗∗∗ 4.64 (2.18~9.89)∗∗∗
Emotion Bad Ref Ref
Good 0.06 (0.01~0.34)∗∗∗ 0.73 (0.33~1.61)
BMI Under ref Ref
Norm 0.04 (0.00~0.50) 0.73 (.051~10.44)
Over 0.03 (0.00~0.46) 0.70 (0.05~10.08)
Obese 0.06 (0.00~0.73) 1.03 (0.07~14.77)

BMI=body mass index;

p<.05;

∗∗ p<.01;

∗∗∗ p<.001.

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