278 research outputs found
Sedentary Behaviour and 12 Sleep Problem Indicators among Middle-Aged and Elderly Adults in South Africa
No full textThe 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)
Sedentary Behaviour, Physical Activity and Life Satisfaction, Happiness and Perceived Health Status in University Students from 24 Countries
No full textThe aim of this investigation was to estimate the independent and combined associations of sedentary behaviour (SB) and physical activity (PA) with life satisfaction, happiness and perceived health in university students. In a cross-sectional survey, 12,492 university students (median age 20 years, interquartile range = 3) from 24 countries responded to a questionnaire on SB, PA and well-being indicators. In adjusted linear regression, higher SB (4 to <8 h and ≥8 h) was associated with poorer life satisfaction (β = −0.21, confidence interval (CI): −0.27 to −0.14) and lower happiness (β = −0.31, CI: −0.46 to −0.17), and higher SB (≥8 h) was associated with lower perceived health (β = −0.08, CI: −0.13 to 0.03). In addition, moderate and/or high PA increased the odds for higher life satisfaction (β = 0.10, CI: 0.04 to 0.16), greater happiness (β = 0.27, CI: 0.15 to 0.39) and better perceived health (β = 0.12, CI: 0.08 to 0.15). Programmes that reduce SB and increase PA may promote life satisfaction, happiness and perceived health status in this university student population
High sedentary behaviour and low physical activity are associated with lower health related quality of life in Myanmar and Vietnam
No full textThe study aimed to estimate independent and combined associations of sedentary behaviour and physical activity with health related quality of life (HRQoL) in Myanmar and Vietnam. The cross-sectional sample included 3201 chronic disease patients (median age 51 years, Interquartile Range 25) systematically recruited from primary care facilities. Sedentary time and physical activity were assessed with the General Physical Activity Questionnaire (GPAQ). Overall, the study population engaged <4 hours (51.3%), 4 ≤ 8 hours (31.2%), and 8 or more hours a day (17.5%) sedentary time a day; 30.7% engaged in low physical activity 50% moderate and 23.6% high physical activity. In the final linear regression model, adjusted for relevant confounders, higher sedentary time (≥8 h) decreased summative HRQoL, HRQoL-Psychological, HRQoL-Physical and HRQoL-social, and moderate and/or high physical activity were associated with better summative HRQoL, HRQoL-Psychological, HRQoL-Physical, HRQoL-social, and better HRQol-environment. Combined regression analysis found that participants with both less than eight hour of sedentary time and moderate or high physical activity had a significantly higher summative HRQoL, HRQoL-Physical, HRQoL-Psychological, HRQoL-social, and HRQol-environment. Findings suggest an independent and combined association between moderate or high physical activity and low sedentary time with HRQoL among chronic disease patients in Myanmar and Vietnam
Early substance use initiation and psychological distress among adolescents in five ASEAN countries: a cross-sectional study
No full textAim: The study aimed to assess the associations between substance use early initiation (<12 years) (smoking cigarettes, alcohol and drug use) with psychological distress among adolescents in five ASEAN countries.
Methods: Cross-sectional data were analysed from 33,184 school adolescents, with a median age of 14 years, from Indonesia, Laos, Philippines, Thailand and Timor-Leste that took part in the “Global School-Based Student Health Survey (GSHS)” in 2015.
Results: The overall prevalence of pre-adolescent (<12 years) cigarette use was 10.6%, 8.1% pre-adolescent current alcohol use, and 4.2% pre-adolescent drug use initiation. In adjusted multinomial logistic regression analysis, pre-adolescent initiation of cigarette smoking, pre-adolescent initiation of alcohol use, pre-adolescent initiation of drug use and multi-substance pre-adolescent initiation were highly associated with medium (=1) and high (=2–5) psychological distress (of five psychological distress items: no close friends, loneliness, anxiety, suicidal ideation and suicide attempt). Late initiation of cigarette use and late initiation of drug use were not associated with medium and/or high psychological distress.
Conclusion: Early prevention programmes should target concurrent early substance use initiation in order to prevent possible subsequent psychological distres
Prevalence and correlates of behavioral non-communicable diseases risk factors among adolescents in the Seychelles: results of a National School Survey in 2015
No full textThe aim of this study was to investigate the prevalence and correlates of behavioral non-communicable disease (NCD) risk factors among a national sample of school-going adolescents in the Seychelles. Cross-sectional data were analyzed from 2540 school adolescents (median age 14 years, interquartile range = 2), in the Seychelles “Global School-Based Student Health Survey (GSHS)” in 2015. Behavioral NCD risk factors (current tobacco use, current alcohol use, inadequate fruit and vegetable consumption, soft drink consumption, overweight or obesity, physical inactivity, and leisure-time sedentary behavior) were assessed by self-report. Among the seven individual behavioral risk factors, the highest prevalence was physical inactivity (82.7%), followed by daily soft drink consumption (68.3%), inadequate fruit and vegetable consumption (60.9%), leisure-time sedentary behavior (51.0%), current alcohol use (47.6%), overweight or obesity (28.2%), and current tobacco use (23.4%). The total mean number of behavioral NCD risk factors was 3.6 (Standard Deviation = 1.3), and the proportion of co-occurrence of having three or more behavioral NCD risk factors was 80.7%. In adjusted linear regression analysis, male sex, older age, and psychological distress were positively, and school attendance and peer support were negatively associated with the total number of behavioral NCD risk factors. A high prevalence of multiple behavioral NCD risk factors were found and several associated factors were identified, such as male sex, older age, psychological distress, school truancy, and lack of peer support, which may help in aiding intervention programs in this populatio
High Sedentary Behavior Is Associated with Depression among Rural South Africans
No full textThe study aimed to investigate the association between sedentary behavior and depression among rural South Africans. Data were analyzed from the cross-sectional baseline survey of the “Health and Aging in Africa: A Longitudinal Study of an INDEPTH community in South Africa (HAALSI)”. Participants responded to various measures, including sociodemographic information, health status, anthropometric measures, and sedentary behavior. The sample included 4782 persons (40 years and above). Overall, participants engaged in <4 h (55.9%), 4–<8 h (34.1%), 8–<11 h (6.4%), or 11 or more h a day (3.5%) of sedentary behavior, and 17.0% screened positive for depression. In multivariable logistic regression, which was adjusted for sociodemographic variables (Model 1) (Odds Ratio, or OR: 2.45, Confidence Interval, or CI: 1.74, 3.46) and adjusted for sociodemographic and health variables, including physical activity (Model 2) (OR: 3.00, CI: 2.00, 4.51), high sedentary time (≥11 h) was independently associated with depression. In combined analysis, compared to persons with low or moderate sedentary behavior (<8 h) and moderate or high physical activity, persons with high sedentary behavior (≥8 h) and low physical activity were more likely to have depression in Model 1 (OR: 1.60, CI: 1.65, 3.13) and Model 2 (OR: 1.60, CI: 1.05, 2.44). Findings support that sedentary behavior and combined sedentary behavior and low physical activity may be a modifiable target factor for strategies to reduce depression symptoms in this rural population in South Africa
Loneliness correlates and associations with health variables in the general population in Indonesia
No full textAbstract Background Loneliness has been commonly reported in high-income countries, while less is known about loneliness in Association of the Southeast Asian Nations (ASEAN) member states, in particular in Indonesia. Objective The aim of the study was to estimate the prevalence of loneliness, its correlates and associations with health variables in a national survey in the general population in Indonesia. Methods In the Indonesia Family Life Survey (IFLS-5) in 2014–2015, 31,447 participants 15 years and older (median age 35.0 years, interquartile range = 22.0) were interviewed and examined in a national population-based cross-sectional study. The self-reported prevalence of loneliness, blood pressure, body height and weight, physical and mental health, health behaviour and psychosocial variables were measured. Multinomial logistic regression analyses were used to estimate determinants of loneliness and logistic and linear regression analyses were applied to estimate the associations of loneliness with physical, mental and health risk behaviour variables. Results The self-reported prevalence of loneliness (occasionally or all of the time or 3–7 days per week) was 10.6% (11.0% for females and 10.1% for males), and 8.0% reported sometimes (1–2 days/week) to be lonely. Loneliness was distributed in a slight U-shaped form, with adolescents and the oldest old having the highest prevalence of loneliness. In adjusted multinomial logistic regression analysis, lower education, lower economic status, adverse childhood experiences, having one or more chronic conditions, functional disability and low neighbourhood trust were associated with loneliness. Loneliness was significantly associated with most health variables, including self-reported unhealthy health status (AOR 1.70, CI 1.57, 1.84), cognitive functioning (Beta: − 0.72, CI − 0.90 to − 0.54), having one or more chronic medical conditions (AOR 1.25, CI 1.16, 1.35), having had a stroke (AOR 1.58, CI 1.08, 2.29), depression symptoms (Beta: 5.19, CI 4.98–5.39), sleep disturbance (Beta: 0.34, CI 0.31–0.37), sleep related impairment (Beta: 0.69, CI 0.64–0.73), low life satisfaction (AOR 1.78, CI 1.64, 1.93), out-patient health care utilization in the past 4 weeks (AOR 1.11, CI 1.01, 1.21), current tobacco use (AOR 1.42, CI 1.28, 1.58), and one or more days in the past week soft drink consumption (AOR 1.20, CI 1.10, 1.31). Conclusion Loneliness was found to be prevalent across the life span and was associated with a number of poorer health variables. Several factors associated with loneliness were identified, which warrant further research in Indonesia
Prevalence and correlates of underweight and overweight/obesity among women in India: results from the National Family Health Survey 2015-2016
No full textObjective: The study aimed to assess the prevalence and correlates of underweight and overweight or obesity among women in India.
Subjects and methods: In a population-based cross-sectional 2015–2016 National Family Health Survey, ever married non-pregnant women (18–49 years) were interviewed and assessed with anthropometric, blood pressure and biochemical measures.
Results: The total sample included 5,82,320 non-pregnant women 18–49 years, median age 31 years, interquartile range =16 years, from India. Overall, 20.1% of the women were underweight [body mass index (BMI) m2,] and 36.3% were overweight, or had class I or class II obesity (BMI ≥23.0 kg/m2,). In adjusted multinomial logistic regression, younger age, lower education, lower wealth status, not eating daily fruits, vegetables, fried food, belonging to the scheduled tribe and tobacco use were associated with underweight, while older age, higher education, higher wealth, belonging to other backward class or other, urban residence, daily fruit consumption, daily fried food consumption, having hypertension, heart disease and high or very high blood glucose levels were associated with overweight or obesity. Belonging to the scheduled caste and tobacco use were negatively associated with overweight or obesity.
Conclusions: A high dual burden of both underweight and overweight or obesity was observed among women in India. Sociodemographic and health variables were identified as risk factors for both underweight and overweight or obesity, which can be utilized in informing intervention strategie
Alcohol Use and Misuse Among School-Going Adolescents in Thailand: Results of a National Survey in 2015
No full textThe aim of this study was to assess the prevalence of alcohol use and misuse, and to identify its associated factors among in-school adolescents in the 2015 Thailand Global School-based Student Health Survey (GSHS). The sample included 5994 school-going adolescents (mean age 14.5 years, SD = 1.7) from Thailand that responded to the 2015 GSHS. Overall, 22.2% were current alcohol users, 24.3% had ever been drunk, 12.1% had drunk two or more alcoholic drinks in a day in the past 30 days and 10.8% had gotten into trouble because of drinking alcohol. In adjusted Poisson regression analysis, older age, psychological distress, current tobacco use, the consumption of one or more soft drinks a day, school truancy, having been in a physical fight in the past 12 months, and having been seriously injured in the past 12 months were associated with current alcohol use. Older age, psychological distress, current tobacco use and injury also increased the odds for lifetime drunkenness, having two or more drinks in a day and trouble resulting from drinking. Soft drink consumption and having been in a physical fight also increased the odds for lifetime drunkenness and having two or more drinks in a day and school truancy also increased the odds for lifetime drunkenness and trouble resulting from drinking. In addition. Parental tobacco use was associated with lifetime drunkenness and trouble resulting from drinking, cannabis use with trouble resulting from drinking, and parental support was protective from trouble resulting from drinking. There were no significant sex differences regarding any of the four alcohol use indicators. More than one in five school-going adolescents in Thailand use and misuse alcohol, and strategies to prevent alcohol misuse, including a cluster of risk behaviours, are needed
High alcohol use and misuse in a representative sample of in-school adolescents in the Seychelles
No full textThe goal of the study was to estimate the prevalence and correlates of alcohol use among adolescents in the 2015 Seychelles Global School-Based Student Health Survey (GSHS). In all, 2 540 students (median age = 14 years, interquartile range = 12–16) filled in a questionnaire in the cross-sectional GSHS. Results indicate that 47.6% were drinking alcohol in the past month, 42.6% reported lifetime drunkenness, 23.1% reported heavy drinking (≥2 alcoholic drinks/day in the past month), and 15.7% reported problem-drinking. In adjusted logistic regression analysis, older age, tobacco use, amphetamine use, sexual risk behaviour, school truancy, physical fighting, injury, and low parental support were associated with current drinking and/or drunkenness, heavy drinking, and problem-drinking. A high prevalence of alcohol consumption was found; calling for intervention programmes in preventing alcohol misus
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