Sedentary Behaviour and 12 Sleep Problem Indicators among Middle-Aged and Elderly Adults in South Africa
1
ASEAN Institute for Health Development, Mahidol University, Salaya, Phutthamonthon, Nakhonpathom 73170, Thailand
2
Deputy Vice Chancellor Research and Innovation Office, North West University, Potchefstroom 2531, South Africa
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(8), 1422; https://doi.org/10.3390/ijerph16081422
Submission received: 20 March 2019
/
Revised: 16 April 2019
/
Accepted: 17 April 2019
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Published: 20 April 2019
(This article belongs to the Special Issue Sleep Disorders Across the Lifespan: A Different Perspective)
Abstract
:The aim of this investigation was to assess the association of sedentary behaviour with 12 different sleep problem indicators among rural middle-aged and elderly adults in South Africa. Cross-sectional data were analysed from the “Health and Aging in Africa: A Longitudinal Study of an INDEPTH community in South Africa” (HAALSI) baseline survey. Participants responded to a questionnaire, including sociodemographic, health, anthropometric measures, sedentary behaviour and 12 different sleep problem indicators. The sample included 4782 individuals 40 years and older (median 61 years, interquartile range = 20 years). Overall, participants engaged <4 h (55.9%), 4–<8 h (34.1%), 8 or more hours a day (9.9%) sedentary time a day. In adjusted multinomial logistic regression, 8 h of more sedentary time was associated with short and long sleep. In adjusted logistic regression analysis, high sedentary time was positively associated with snoring, gasping, breathing stops and restless sleep and negatively associated with insufficient sleep and sleep problems due to a traumatic event. In combined analysis, compared to persons with low or moderate sedentary behaviour and moderate or high physical activity, persons with high sedentary behaviour and low physical activity were more likely to have long sleep, insufficient sleep, snoring, gasping, breathing stops, and restless sleep and less likely to have sleep problems due to traumatic events. Findings show an association between sedentary behaviour and/or combined sedentary behaviour and low physical activity with seven of 12 sleep problem indicators (short sleep, long sleep, insufficient sleep, snoring, gasping, breathing stops, and restless sleep).
1. Introduction
Sedentary behaviour includes sitting, being in a lying position or reclining needing a very low expenditure of energy [1], and is conceived to be independent from physical inactivity [1]. In a systematic review “strong evidence of a relationship between sedentary behaviour and all-cause mortality, fatal and non-fatal cardiovascular disease, type 2 diabetes and metabolic syndrome” was found [2].
Sleep problems or insomnia is one of the most common health problems, affecting approximately 10% to 20% of the world population [3]. “The etiology and pathophysiology of insomnia involve genetic, environmental, behavioral, and physiological factors culminating in hyperarousal.” [3]. Both short and long sleep durations can increase the risk of morbidity (diabetes mellitus, cardiovascular disease, coronary heart disease, and obesity) and mortality [4,5]. Several studies [6,7,8] found an association between sedentary behaviour and short and/or long sleep. In a recent meta-analysis, sedentary behaviour increased the odds for insomnia and sleep disturbance [9]. There are limited studies investigating sedentary behaviour and sleep indicators in low- and middle-income countries. An exception is a study in six middle-income countries in predominantly older adults, where general sedentary time was overall associated with sleep problems [10]. The aim of this study was to assess the association of sedentary behaviour with 12 different sleep problem indicators among rural middle-aged and elderly adults in South Africa. Sleep problems have been previously reported to be common in South Africa, 7.1% insomnia in the general adult population, 9.6% among middle-aged (45–64 year-olds) and 20.5% among 65 years and older persons [11].
2. Methods
2.1. Sample and Procedure
Baseline data were analysed from the “Health and Ageing in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) in the INDEPTH Health and Demographic Surveillance System (HDSS) site of Agincourt” in 2015 in rural South Africa [12]. The baseline data used in this study is publicly available at the Harvard Center for Population and Development Studies (HCPDS) program website (www.haalsi.org). Based on completed home interviews (response rate 85.9%) [12], 4782 individuals were included with complete sedentary behaviour measurements. “Signed informed consent was obtained from all respondents prior to assessments. The study received ethical approvals from the University of the Witwatersrand Human Research Ethics Committee (ref. M141159), the Harvard T.H. Chan School of Public Health, Office of Human Research Administration (ref. C13–1608–02), and the Mpumalanga Provincial Research and Ethics Committee.” [12].
2.2. Measures
2.2.1. Exposure Variables
Sedentary behaviour was assessed with two items “On a usual week day, how many hours/minutes did you spend sitting or reclining (excluding sleep)? This may include time sitting on a chair or bench, visiting friends, reading, sitting in church, sitting down to watch television” on a usual weekday or weekend day [12,13]. Sedentary time was classified into <4 h, 4–<8 h, and 8 or more hours a day [14].
2.2.2. Outcome Variables
Sleep duration was assessed with the question, “Over the past four weeks, how many hours do you think you actually slept each day?” [15,16]. Responses were divided into three categories: normal sleep (7–9 h), short sleep (≤6 h) and long sleep (≥10 h) [17].
Bad sleep quality. “Over the past 4 weeks, how would you rate your sleep quality overall?” (Very good/Good vs. Very bad/Bad) [15,16].
Insufficient sleep. “How often during the past 4 weeks did you get enough sleep to feel rested upon waking up?” (Sometimes/often/very vs. rarely/never) [15,16].
Awakenings. ”During the past 4 weeks, how often did you wake up in the middle of the night or early morning?” (<once per week vs. at least once per week) [15,16].
Snoring. “During the past month, have you snored loudly, or ever been told that you were snoring loudly?” (Yes/No) [15,16].
Gasping. “During the last month, have you had, or ever been told that you were snorting or gasping?” (Yes/No) [15,16].
Breathing stops. “During the last month, have you had, or ever been told that your breathing stops or you struggle for breath?” (Yes/No) [15,16].
Sleep latency (>30 min). “During the past 4 weeks, how often could you not get to sleep within 0 min?” (”never or <once a week or once or twice a week” vs. ”three or more times a week”) [15,16].
Restless sleep. ”Much of the time in the past week, your sleep was restless?” (Yes/No) [18].
Pain has interfered with your sleep. “On a scale of 0 to 10, where 0 is ‘Does not interfere’ and 10 is ‘Completely interferes’, select the one number that describes how, during the past 24 h, pain has interfered with your sleep?” (zero vs. 1–10 interferes) [19].
Sleep problem due to traumatic event. “In your life, have you ever had any experience that was so frightening, horrible, or upsetting that, in the past 30 days you had more trouble than usual falling asleep or staying asleep?” (Yes/No) [20].
2.2.3. Confounding Variables
Sociodemographic information included sex, age, formal education, and a “wealth index in quintiles created from household characteristics and ownership of household items, livestock, and vehicles” [12,19].
Social cohesion was measured with four questions, e.g., “Most people in this village are willing to help their neighbours” Response options ranged from 1 = strongly agree to 4 = strongly disagree [12] (Cronbach’s alpha 0.87). “High social cohesion was defined as reversed scores of 13–16” [21].
Current tobacco use was assessed with “two questions on current smoking and current smokeless tobacco use, such as snuff, chewing tobacco, snus, and betel with tobacco” [12,21].
Alcohol dependence was assessed with the four-item “Cut down-Annoyed-Guilty-Eye opener” (CAGE) questionnaire [22] (Cronbach’s alpha 0.82).
Physical activity was assessed with the “General Physical Activity Questionnaire (GPAQ)” [23,24]. Following GPAQ guidelines [24], results were classified into “low, moderate, and high physical activity” [24].
3. Data Analysis
Associations between sedentary behaviour and sleep duration were analysed with multinomial regression, with short (≤6 h) and long sleep (≥10 h) duration as dependent variable, and normal sleep duration (7–9 h) as reference category. Logistic regression was used to estimate the associations between sedentary behaviour and other sleep problem indicators. All models were adjusted for sex, age, education, wealth status, social cohesion, BMI, current tobacco use, problem drinking, and self-rated health status. Moreover, we used multivariable multinomial and logistic regression to estimate the combined relationship between sedentary behaviour and physical activity with problem sleep indicators. For the combined multinomial and logistic regression analysis, the sample was sub-divided based on sedentary and physical activity levels into four groups: (1) low or moderate sedentary time (<8 h) plus moderate or high physical activity group (reference category), (2) low or moderate sedentary time (<8 h) plus low physical activity group, (3) High sedentary time (≥8 h) plus moderate or physical activity group, and (4) high sedentary time (≥8 h) plus low physical activity. p < 0.05 was considered significant. All statistical procedures were conducted with STATA software version 14 (Stata Corporation, College Station, TX, USA).
4. Results
4.1. Sample Characteristics
The sample included 4782 individuals (40 years and older, median 61 years, interquartile range = 20 years), 53.3% were female, 93.2% had moderate to high social cohesion, 58.1% overweight or obese, and 42.1% engaged in low physical activity. Overall, 68.8% of respondents reported good self-rated health status, 1.4% alcohol dependence, and 15.6% were current tobacco users.
Overall, participants engaged <4 h (55.9%), 4–<8 h (34.1%), and 11 or more hours a day (9.9%) sedentary time a day. Of all participants, 13.1% had short sleep (≤6 h) and 18.2% long sleep (≥10 h). Other sleep problem indicators included, awakening (40.0%), snoring (19.6%), gasping (12.7%), breathing stops (7.1%), bad sleep quality (6.3%), sleep latency (9.0%), restless sleep (32.1%), pain that interferes with sleep (9.5%), problems with sleep due to traumatic experience (15.0%) and insufficient sleep (14.4%) (see Table 1).
4.2. Associations of Sedentary Behaviour with Sleep Indicators
In adjusted multinomial logistic regression analysis, 8 h of more sedentary time was associated with short sleep and long sleep. In adjusted logistic regression analysis, 8 h of more sedentary time was associated with snoring, gasping, breathing stops and restless sleep, and 4–<8 h sedentary behaviour was positively associated with snoring and negatively associated with bad sleep quality, breathing stops and restless sleep. Four or more hours sedentary time was negatively associated with insufficient sleep and sleep problems because of a traumatic event. No associations were found between sedentary behaviour and latency, nocturnal awakenings, and pain that interferes with sleep (see Table 2).
4.3. Associations of Combined Sedentary Behaviour and Physical Inactivity with Sleep Problem Indicators
In adjusted multinomial logistic regression analysis, compared to persons with low or moderate sedentary behaviour and moderate and high physical activity, persons with high sedentary behaviour and moderate or high physical activity were more likely to have short sleep (Relative Risk Ratio—RRR: 2.06, Confidence Interval—CI: 1.21, 3.52), and persons with low or moderate sedentary behaviour and low physical activity (RRR: 1.32, CI: 1.11, 1.57) as well as persons with high sedentary behaviour and low physical activity (RRR: 1.80, CI: 1.23, 2.63) were more likely to have long sleep. In adjusted logistic regression analysis, compared to persons with low or moderate sedentary behaviour and moderate or high physical activity, persons with high sedentary behaviour and low physical activity were more likely to have snoring (Odds Ratio—OR: 1.51, CI: 1.07, 2.13), gasping (OR: 1.88, CI: 1.29, 2.72), breathing stops (OR: 1.67, CI: 1.13, 2.41), restless sleep (OR: 1.56, CI: 1.13, 2.17) and insufficient sleep (OR: 1.62, CI: 1.02, 2.57) and less likely to have a sleep problem due to a traumatic event (OR: 0.41, CI: 0.22, 0.75). In addition, compared to persons with low or moderate sedentary behaviour and moderate and high physical activity, persons with low or moderate sedentary behaviour and low physical activity were more likely to have bad sleep quality (OR: 1.55, CI: 1.17, 2.05), latency (OR: 1.25, CI: 1.09, 1.43), nocturnal awakenings (OR: 1.17, CI: 1.02, 1.33), insufficient sleep (OR: 2.89, CI: 2.39, 3.49) and pain interfering with sleep (OR: 2.04, CI: 1.61, 2.57), and were less likely to have snoring (OR: 0.79, CI: 0.67, 0.94) and gasping (OR: 0.74, CI: 0.60, 0.91). Further, persons with high sedentary behaviour and moderate or high physical activity were less likely to have nocturnal awakenings (OR: 0.35, CI: 0.20, 0.60) and more likely to have insufficient sleep (OR: 2.53, CI: 1.45, 4.41) and restless sleep (OR: 1.57, CI: 1.01, 2.45) (see Table 3).
5. Discussion
This is one of the first studies to investigate the association of sedentary behaviour with 12 different sleep problem indicators in a large sample in South Africa. Results found that high sedentary time (≥8 h), adjusted for relevant confounders such as sociodemographics, body mass index and social cohesion, was associated with six sleep problem indicators: short sleep, long sleep, snoring, gasping, breathing stops, and restless sleep. In addition, a combined association of high sedentary time (≥8 h) and low physical activity was found with six sleep problem indicators: long sleep, snoring, gasping, breathing stops, insufficient and restless sleep. It should be acknowledged that someone who is awake for longer (shorter sleep time) is likely to have higher awake sedentary time just by virtue of being awake for longer. This may explain as to why in the combined analysis the combined association of high sedentary time (≥8 h) and low physical activity was no longer significant on short sleep. Stamtakis et al. [26] found that, “although replacing sedentary behaviour with walking and moderate-to-vigorous physical activity are associated with the lowest mortality risk, replacements with equal amounts of standing and sleeping (in low sleepers only) are also linked to substantial mortality risk reductions.”
Several previous studies [6,7,8] also found a positive association between sedentary behaviour and short and/or long sleep. A previous systematic review also found a positive association between sedentary behaviour and multiple sleep problems among adults [9]. Various possible mechanisms have been suggested for the link between sedentary behaviour and sleep problems, including elevated depression risk, increase in metabolic syndrome and increased LED-backlit TV exposure, all of which have a higher risk for sleep problems [9,10]. Kline et al. [27] found that “exercise training may be helpful for improving aspects of daytime functioning of adults with obstructive sleep apnea”, which may explain our association between sedentary behaviour and apnea symptoms (gasping, breathing stops). One study in six middle-income countries also found an association between general sedentary time and sleep problems [10]. More research is needed in low- and middle-income countries on the association between sedentary behaviour and different sleep problem indicators, so as to compare such findings with results from high-income countries.
Sedentary time was in this study negatively associated with insufficient sleep and sleep problems due to trauma, and no association was found with bad sleep quality, latency, nocturnal awakenings, and pain that interferes with sleep. In a previous review [9], also no association between sedentary behaviour and poor sleep quality and/or daytime sleepiness (insufficient sleep to feel rested). It is possible that higher sedentary time may include small sleeping naps, especially among older adults, so that higher sedentary time compensates for insufficient sleep. In the combined analysis, however, high sedentary behaviour and physical inactivity, was associated with insufficient sleep in this study. Sedentary time was consistently negatively associated with sleep problems due to trauma in this study. Talbot et al. [28] found that “worse sleep quality predicts lower physical activity in posttraumatic stress disorder.” It is possible that persons with higher sedentary behaviour have more opportunity to deal with their traumatic experiences during the day time, reducing sleep problems due to traumatic events.
Study Limitations
Both sedentary and sleep behaviour were assessed by self-report, and future studies should include objective measures. Sedentary time may have been under-reported and physical activity over-reported because of social desirability bias [26]. Self-reported sleep duration may be an overestimation of the actual measured sleep duration [29]. Since the study was cross-sectional, no causal inferences can be made.
6. Conclusions
Findings show an association between sedentary behaviour and/or combined sedentary behaviour and low physical activity with seven of 12 sleep problem indicators (short sleep, long sleep, insufficient sleep, snoring, gasping, breathing stops, and restless sleep).
Author Contributions
S.P. and K.P. designed the analysis, analysed the data, wrote the manuscript, and approved the final paper.
Funding
This research received no external funding.
Acknowledgments
HAALSI (Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa) is sponsored by the National Institute on Aging (grant number 1P01AG041710-01A1) and is conducted by the Harvard Center for Population and Development Studies in partnership with Witwatersrand University The Agincourt HDSS was supported by the Wellcome Trust, UK, (058893/Z/99/A, 069683/Z/02/Z, 085477/Z/08/Z and085477/B/08/Z), the University of the Witwatersrand and South African Medical Research Council [19].
Conflicts of Interest
The authors declare no conflict of interest.
References
- Panahi, S.; Tremblay, A. Sedentariness and health: Is sedentary behavior more than just physical inactivity? Front. Public Health 2018, 6, 258. [Google Scholar] [CrossRef]
- De Rezende, L.F.; Rodrigues Lopes, M.; Rey-López, J.P.; Matsudo, V.K.; Luiz Odo, C. Sedentary behavior and health outcomes: An overview of systematic reviews. PLoS ONE 2014, 9, e105620. [Google Scholar] [CrossRef] [PubMed]
- Buysse, D.J. Insomnia. JAMA 2013, 309, 706–716. [Google Scholar] [CrossRef] [PubMed]
- Itani, O.; Jike, M.; Watanabe, N.; Kaneita, Y. Short sleep duration and health outcomes: A systematic review, meta-analysis, and meta-regression. Sleep Med. 2017, 32, 246–256. [Google Scholar] [CrossRef] [PubMed]
- Jike, M.; Itani, O.; Watanabe, N.; Buysse, D.J.; Kaneita, Y. Long sleep duration and health outcomes: A systematic review, meta-analysis and meta-regression. Sleep Med. Rev. 2018, 39, 25–36. [Google Scholar] [CrossRef] [PubMed]
- Štefan, L.; Horvatin, M.; Baić, M. Are sedentary behaviors associated with sleep duration? A cross-sectional case from Croatia. Int. J. Environ. Res. Public Health 2019, 16, 200. [Google Scholar] [CrossRef] [PubMed]
- Lakerveld, J.; Mackenbach, J.D.; Horvath, E.; Rutters, F.; Compernolle, S.; Bárdos, H.; De Bourdeaudhuij, I.; Charreire, H.; Rutter, H.; Oppert, J.M.; et al. The relation between sleep duration and sedentary behaviours in European adults. Obes. Rev. 2016, 17, 62–67. [Google Scholar] [CrossRef] [Green Version]
- Brunetti, V.C.; O’Loughlin, E.K.; O’Loughlin, J.; Constantin, E.; Pigeon, É. Screen and nonscreen sedentary behavior and sleep in adolescents. Sleep Health 2016, 2, 335–340. [Google Scholar] [CrossRef] [PubMed]
- Yang, Y.; Shin, J.C.; Li, D.; An, R. Sedentary behavior and sleep problems: A systematic review and meta-analysis. Int. J. Behav. Med. 2017, 24, 481–492. [Google Scholar] [CrossRef] [PubMed]
- Vancampfort, D.; Stubbs, B.; Firth, J.; Hagemann, N.; Myin-Germeys, I.; Rintala, A.; Probst, M.; Veronese, N.; Koyanagi, A. Sedentary behaviour and sleep problems among 42,489 community-dwelling adults in six low- and middle-income countries. J. Sleep Res. 2018, 27, e12714. [Google Scholar] [CrossRef]
- Peltzer, K.; Pengpid, S. Prevalence, social and health correlates of insomnia among persons 15 years and older in South Africa. S. Afr. J. Psychol. 2018. [Google Scholar] [CrossRef]
- Gómez-Olivé, F.X.; Montana, L.; Wagner, R.G.; Kabudula, C.W.; Rohr, J.K.; Kahn, K.; Bärnighausen, T.; Collinson, M.; Canning, D.; Gaziano, T.; et al. Cohort profile: Health and Ageing in Africa: A longitudinal study of an INDEPTH Community in South Africa (HAALSI). Int. J. Epidemiol. 2018, 47, 689–690. [Google Scholar] [CrossRef] [PubMed]
- Prince, S.A.; LeBlanc, A.G.; Colley, R.C.; Saunders, T.J. Measurement of sedentary behaviour in population health surveys: A review and recommendations. PeerJ 2017, 5, e4130. [Google Scholar] [CrossRef] [PubMed]
- Ekelund, U.; Steene-Johannessen, J.; Brown, W.J.; Fagerland, M.W.; Owen, N.; Powell, K.E.; Bauman, A.; Lee, I.M.; Lancet Physical Activity Series 2 Executive Committe; Lancet Sedentary Behaviour Working Group. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet 2016, 388, 1302–1310. [Google Scholar] [CrossRef] [Green Version]
- Gómez-Olivé, F.X.; Rohr, J.K.; Roden, L.C.; Rae, D.E.; von Schantz, M. Associations between sleep parameters, non-communicable diseases, HIV status and medications in older, rural South Africans. Sci. Rep. 2018, 8, 17321. [Google Scholar] [CrossRef]
- Buysse, D.J.; Reynolds, C.F., 3rd; Monk, T.H.; Berman, S.R.; Kupfer, D.J. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Res. 1989, 28, 193–213. [Google Scholar] [CrossRef]
- National Sleep Foundation. National Sleep Foundation Recommends New Sleep Times. 2019. Available online: https://www.sleepfoundation.org/press-release/national-sleep-foundation-recommends-new-sleep-times/page/0/1 (accessed on 10 January 2019).
- Radloff, L.S. The CES-D scale: A self-report depression scale for research in the general population. Appl. Psychol. Meas. 1977, 1, 385–401. [Google Scholar] [CrossRef]
- Cleeland, C. Measurement of pain by subjective report. In Issues in Pain Measurement; Chapman, C.R., Loeser, J.D., Eds.; Raven Press: New York, NY, USA, 1989; pp. 391–404. [Google Scholar]
- Breslau, N.; Peterson, E.L.; Kessler, R.C.; Schultz, L.R. Short screening scale for DSM-IV posttraumatic stress disorder. Am. J. Psychiatry 1999, 156, 908–911. [Google Scholar] [CrossRef] [PubMed]
- Pengpid, S.; Peltzer, K. Prevalence and social and health correlates of insomnia symptoms among middle- and older-age persons in rural South Africa. J. Psychol. Afr. 2018, 28, 472–478. [Google Scholar] [CrossRef]
- Ewing, J.A. Detecting alcoholism: The CAGE questionnaire. JAMA 1984, 252, 1905–1907. [Google Scholar] [CrossRef]
- Armstrong, T.; Bull, F. Development of the World Health Organization Global Physical Activity Questionnaire (GPAQ). J. Public Health 2006, 14, 66–70. [Google Scholar] [CrossRef]
- World Health Organisation (WHO). Global Physical Activity Surveillance. 2009. Available online: http://www.who.int/chp/steps/GPAQ/en/index.html (accessed on 2 December 2018).
- World Health Organization (WHO). Obesity: Preventing and Managing the Global Epidemic—Report of a WHO Consultation; World Health Organization: Geneva, Switzerland, 2000. [Google Scholar]
- Stamatakis, E.; Rogers, K.; Ding, D.; Berrigan, D.; Chau, J.; Hamer, M.; Bauman, A. All-cause mortality effects of replacing sedentary time with physical activity and sleeping using an isotemporal substitution model: A prospective study of 201,129 mid-aged and older adults. Int. J. Behav. Nutr. Phys. Act. 2015, 12, 121. [Google Scholar] [CrossRef] [PubMed]
- Kline, C.E.; Ewing, G.B.; Burch, J.B.; Blair, S.N.; Durstine, J.L.; Davis, J.M. Exercise training improves selected aspects of daytime functioning in adults with obstructive sleep apnea. J. Clin. Sleep Med. 2012, 8, 357–365. [Google Scholar] [CrossRef] [PubMed]
- Talbot, L.S.; Neylan, T.C.; Metzler, T.J.; Cohen, B.E. The mediating effect of sleep quality on the relationship between PTSD and physical activity. J. Clin. Sleep Med. 2014, 10, 795–801. [Google Scholar] [CrossRef] [PubMed]
- Lauderdale, D.S.; Knutson, K.L.; Yan, L.L.; Liu, K.; Rathouz, P.J. Sleep duration: How well do self-reports. reflect objective measures? The CARDIA Sleep Study. Epidemiology 2008, 19, 838–845. [Google Scholar] [CrossRef] [PubMed]
Table 1.
Sample characteristics by sleep problem indicators and sedentary time.
| Sleep Problem Indicator | Sample | Sedentary Time | ||
|---|---|---|---|---|
| <4 h/day | 4–<8 h/day | ≥8 h/day | ||
| N (%) | N (%) | N (%) | N (%) | |
| Short sleep (≤6 h) | 600 (13.1) | 313 (12.4) | 214 (13.5) | 73 (15.7) |
| Long sleep (≥10 h) | 831 (18.2) | 442 (17.6) | 262 (16.5) | 127 (27.3) |
| Bad sleep quality | 303 (6.3) | 180 (6.7) | 86 (5.3) | 37 (7.8) |
| Insufficient sleep | 690 (14.4) | 507 (19.0) | 121 (7.4) | 62 (13.1) |
| Latency | 429 (9.0) | 232 (8.7) | 165 (10.1) | 32 (6.8) |
| Nocturnal awakenings | 1910 (40.0) | 1093 (40.9) | 623 (38.2) | 194 (41.0) |
| Snoring | 931 (19.6) | 443 (16.6) | 336 (20.7) | 152 (32.4) |
| Gasping | 606 (12.7) | 273 (10.2) | 204 (12.5) | 129 (27.4) |
| Breathing stops | 339 (7.1) | 188 (7.1) | 90 (5.5) | 61 (13.0) |
| Restless sleep | 1504 (32.1) | 850 (32.3) | 456 (28.6) | 198 (43.5) |
| Sleep problem due to traumatic event | 702 (15.0) | 484 (18.4) | 181 (11.4) | 37 (8.2) |
| Pain interfered with sleep | 445 (9.5) | 246 (9.4) | 145 (9.1) | 54 (11.9) |
Table 2.
Associations of sedentary behaviour with sleep problem indicators.
| Sleep Problem Indicator | Sedentary Quartiles (Referent: <4 h/day) | |
|---|---|---|
| 4–<8 h/day | ≥8 h/day | |
| ARRR (95% CI) 1 | ARRR (95% CI) 1 | |
| Short sleep (≤6 h) | 1.06 (0.87, 1.30) | 1.69 (1.24, 2.31) *** |
| Long sleep (≥10 h) | 0.93 (0.77, 1.11) | 1.55 (1.19, 2.03) *** |
| AOR (95% CI) 1 | AOR (95% CI) 1 | |
| Bad sleep quality | 0.70 (0.51, 0.95) * | 1.05 (0.60, 1.88) |
| Insufficient sleep | 0.34 (0.27, 0.43) *** | 0.60 (0.43, 0.82) ** |
| Latency | 1.10 (0.88, 1.34) | 0.66 (0.43, 1.01) |
| Nocturnal awakenings | 0.88 (0.77, 1.01) | 0.92 (0.73, 1.14) |
| Snoring | 1.22 (1.03, 1.44) * | 2.27 (1.78, 2.91) *** |
| Gasping | 1.18 (0.96, 1.45) | 3.15 (2.42, 4.11) *** |
| Breathing stops | 0.71 (0.54, 0.95) * | 1.91 (1.35, 2.70) ** |
| Restless sleep | 0.80 (0.69, 0.92) ** | 1.39 (1.11, 1.75) ** |
| Sleep problem due to traumatic event | 0.56 (0.46, 0.69) *** | 0.33 (0.22, 0.50) *** |
| Pain interfered with sleep | 0.93 (0.73, 1.19) | 1.00 (0.69, 1.46) |
*** p < 0.001; ** p < 0.01; * p < 0.05; ARRR = Adjusted Relative Risk Ratio; AOR = Adjusted Odds Ratio; CI = confidence interval; 1 Adjusted for sex, age, education, wealth status, social cohesion, BMI, current tobacco use, problem drinking, and self-rated health status.
Table 3.
Associations of combined sedentary behaviour and physical activity with sleep problem indicators.
Table 3.
Associations of combined sedentary behaviour and physical activity with sleep problem indicators.
| Sleep Problem Indicator | Sedentary Low or Moderate and Physical Activity (PA) Moderate or High (n = 1536) (Referent) | ||
|---|---|---|---|
| Sedentary Low/Moderate and PA Low (n = 1764) | Sedentary High and PA Moderate or High (n = 94) | Sedentary High and PA Low (n = 237) | |
| ARRR (95% CI) 1 | ARRR (95% CI) 1 | ARRR (95% CI) 1 | |
| Short sleep (≤6 h) | 0.87 (0.76, 1.06) | 2.06 (1.21, 3.52) *** | 1.16 (0.72, 1.89) |
| Long sleep (≥10 h) | 1.32 (1.11, 1.57) ** | 0.94 (0.51, 1.75) | 1.80 (1.23, 2.63) ** |
| AOR (95% CI) 1 | AOR (95% CI) 1 | AOR (95% CI) 1 | |
| Bad sleep quality | 1.55 (1.17, 2.05) ** | 0.95 (0.34, 2.68) | 1.78 (0.97, 3.24) |
| Insufficient sleep | 2.89 (2.39, 3.49) *** | 2.53 (1.45, 4.41) *** | 1.62 (1.02, 2.57) * |
| Latency | 1.25 (1.09, 1.43) ** | 0.70 (0.43, 1.16) | 0.75 (0.53, 1.08) |
| Nocturnal awakenings | 1.17 (1.02, 1.33) * | 0.35 (0.20, 0.60) *** | 1.11 (0.80, 1.53) |
| Snoring | 0.79 (0.67, 0.94) * | 0.55 (0.29, 1.06) | 1.51 (1.07, 2.13) * |
| Gasping | 0.74 (0.60, 0.91) ** | 1.33 (0.73, 2.39) | 1.88 (1.29, 2.72) *** |
| Breathing stops | 1.05 (0.81, 1.37) | 1.68 (0.82, 3.45) | 1.67 (1.13, 2.41) ** |
| Restless sleep | 0.95 (0.82. 1.09) | 1.57 (1.01, 2.45) * | 1.56 (1.13, 2.17) ** |
| Sleep problem due to traumatic event | 1.04 (0.87, 1.25) | 0.60 (0.29, 1.27) | 0.41 (0.22, 0.75) ** |
| Pain interfered with sleep | 2.04 (1.61, 2.57) *** | 1.01 (0.42, 2.40) | 1.53 (0.91, 2.55) |
*** p < 0.001; ** p < 0.01; * p < 0.05; ARRR = Adjusted Relative Risk Ratio; AOR = Adjusted Odds Ratio; CI = confidence interval; 1 Adjusted for sex, age, education, wealth status, social cohesion, BMI, current tobacco use, problem drinking, and self-rated health status.
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Pengpid, S.; Peltzer, K. Sedentary Behaviour and 12 Sleep Problem Indicators among Middle-Aged and Elderly Adults in South Africa. Int. J. Environ. Res. Public Health 2019, 16, 1422. https://doi.org/10.3390/ijerph16081422
AMA Style
Pengpid S, Peltzer K. Sedentary Behaviour and 12 Sleep Problem Indicators among Middle-Aged and Elderly Adults in South Africa. International Journal of Environmental Research and Public Health. 2019; 16(8):1422. https://doi.org/10.3390/ijerph16081422
Chicago/Turabian StylePengpid, Supa, and Karl Peltzer. 2019. "Sedentary Behaviour and 12 Sleep Problem Indicators among Middle-Aged and Elderly Adults in South Africa" International Journal of Environmental Research and Public Health 16, no. 8: 1422. https://doi.org/10.3390/ijerph16081422
APA StylePengpid, S., & Peltzer, K. (2019). Sedentary Behaviour and 12 Sleep Problem Indicators among Middle-Aged and Elderly Adults in South Africa. International Journal of Environmental Research and Public Health, 16(8), 1422. https://doi.org/10.3390/ijerph16081422
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