Prevalence, and social and health correlates of insomnia among persons 15 years and older in South Africa

Peltzer, Karl; Pengpid, Supa

doi:10.1177/0081246318818623

Cited by 8 publications

(12 citation statements)

References 33 publications

(93 reference statements)

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“…Briefly, the SANHANES-1 employed a multi-stage cluster sampling design in sampling the households to be included in a nationally representative survey in South Africa from April to November 2012 22. In all, 500 enumeration areas (EAs) representative of the sociodemographic profile (stratified by province, locality type, and race or population group) of South Africa were identified, and a random sample of 20 households was selected from each EA 22,23. All persons residing in the selected households were eligible to participate 22,23.…”

Section: Methodsmentioning

confidence: 99%

“…In all, 500 enumeration areas (EAs) representative of the sociodemographic profile (stratified by province, locality type, and race or population group) of South Africa were identified, and a random sample of 20 households was selected from each EA 22,23. All persons residing in the selected households were eligible to participate 22,23. Data for this survey were collected by administering questionnaires to participants (conducting face-to-face interviews) and performing a clinical examination on each participant 22,23.…”

Section: Methodsmentioning

confidence: 99%

“…All persons residing in the selected households were eligible to participate 22,23. Data for this survey were collected by administering questionnaires to participants (conducting face-to-face interviews) and performing a clinical examination on each participant 22,23. Participants provided informed written consent, and the study protocol was approved by the Research Ethics Committee (REC) of the Human Sciences Research Council (REC 6/16/11/11).…”

Section: Methodsmentioning

confidence: 99%

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<p>Prevalence and socio-behavioral factors associated with sugar-sweetened beverages consumption among 15 years and older persons in South Africa</p>

Pengpid¹,

Peltzer²

2019

DMSO

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Objective: The aim of this study was to assess the frequency of sugar-sweetened beverages (SSB) consumption and its relationship with socio-behavioral factors using national population-based data in South Africa. Subjects and methods: Cross-sectional data were analyzed from the South African National Health and Nutrition Examination Survey (SANHANES-1) in 2012. The population sample included 15,179 adults (median age=34.0 years, interquartile range=25, range=15–98 years) who participated in the SANHANES-1. Results: Overall, the study participants consumed 33.9% none, 48.3% 1–3 times, 7.2% 4–6 times, and 10.6% every day soft drinks in the past week (or an equivalent of an average of 0.30 servings, SD=0.3, per day); 43.4% had consumed no sweetened fruit juice, 42.3% 1–3 times, 5.2% 4–6 times; and 9.1% daily sweetened fruit juice (or an equivalent of an average of 0.25 servings, SD=0.3, per day). The prevalence of daily SSB (soft drink and/or sweetened fruit juice) consumption was 16.0% (or an equivalent of an average of 0.54 servings, SD=0.5, per day). In the final logistic regression model, younger age, urban residence, perceived overweight, fruit consumption, fresh fruit juice consumption, and having had processed meat and fried food from street vendors were associated with SSB consumption. In addition, problem drinking and physical activity were associated with daily soft drink consumption, and higher sedentary time was associated with daily sweetened fruit juice consumption. Conclusions: The study found a high prevalence of daily SSB consumption and identified several socio-behavioral factors that can be targeted in public health intervention programs.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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<p>Prevalence and socio-behavioral factors associated with sugar-sweetened beverages consumption among 15 years and older persons in South Africa</p>

Pengpid¹,

Peltzer²

2019

DMSO

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“…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].…”

Section: Introductionmentioning

confidence: 99%

Sedentary Behaviour and 12 Sleep Problem Indicators among Middle-Aged and Elderly Adults in South Africa

Pengpid

Peltzer

2019

IJERPH

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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).

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“…Sleeping problems or insomnia were classified as having scores of between 4 to 8 (range 0 to 8) in response to two questions, for example, ‘Overall in the last 30 days, how much of a problem did you have with sleeping, such as falling asleep, waking up frequently during the night, or waking up too early in the morning?’ Responses extended from none = 0 to extreme/cannot do = 4 (Peltzer & Pengpid, 2019, p. 3).…”

Section: Methodsmentioning

confidence: 99%

Factors associated with high sedentary behaviour among adolescents and adults with psychological distress in South Africa

Pengpid

Peltzer

2020

South African Journal of Psychology

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The aim of this study was to estimate factors associated with high sedentary behaviour (SB) in adolescents and adults who have psychological distress in South Africa. Data used in this analysis were derived from the cross-sectional South African National Health and Nutrition Examination Survey – 2012. The sample consisted of 2306 participants (42 years median age) who had psychological distress. In all, 16.2% of the study participants engaged in ⩾8 hr SB/day. In unadjusted analysis, functional disability, older age, bodily pain, hypertension, and cognitive impairment was significantly more frequent among those with high SB. In adjusted logistic regression, functional disability and aged 65 years and above were positively associated with high SB. Results seem to suggest that interventions aimed at reducing SB among South Africans who have psychological distress may target the risk groups that were identified.

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Prevalence, and social and health correlates of insomnia among persons 15 years and older in South Africa

Cited by 8 publications

References 33 publications

<p>Prevalence and socio-behavioral factors associated with sugar-sweetened beverages consumption among 15 years and older persons in South Africa</p>

<p>Prevalence and socio-behavioral factors associated with sugar-sweetened beverages consumption among 15 years and older persons in South Africa</p>

Sedentary Behaviour and 12 Sleep Problem Indicators among Middle-Aged and Elderly Adults in South Africa

Factors associated with high sedentary behaviour among adolescents and adults with psychological distress in South Africa

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