scholarly journals Sedentary behavior based on screen time: prevalence and associated sociodemographic factors in adolescents

2017 ◽  
Vol 22 (12) ◽  
pp. 4061-4072 ◽  
Author(s):  
Gabriel Renaldo de Sousa ◽  
Diego Augusto Santos Silva
Keyword(s):  
Sedentary Behavior ◽  
Video Game ◽  
Screen Time ◽  
Skin Color ◽  
Binary Logistic Regression ◽  
Epidemiological Survey ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Behavior Based

Abstract The aim of this study to estimate the prevalence of sedentary behavior based on screen time (≥ 2-hour day) and to identify the association with sociodemographic factors among adolescents in a city in southern Brazil. This is an epidemiological survey of school-based cross-sectional study with students aged 14-19 years in the city of São José/SC - Brazil. Self-administered questionnaire was used, containing information sociodemographic, level of physical activity and about screen time. Descriptive statistics were performed, and odds ratios were estimated using binary logistic regression and 95% confidence level. The prevalence of excess screen time was 86.37% followed by computer use (55.24%), TV use (51.56%) and Videogame use (15.35%). Boys had higher prevalence of excessive video game use. Those of skin color different from white and mothers who studied less than eight years were more likely to watch too much TV, and those of low economic level were more likely of having excessive screen time. Girls of skin color different from white were more likely to watch too much TV, and those aged 14-16 years were more likely to have videogame use time and total time screen above recommended.

scholarly journals Prevalence of diabetes, hypertension, and the socio-demographic predictors of the type of facility utilized for related services in rural Telangana

2020 ◽  
Vol 7 (11) ◽  
pp. 4499
Author(s):  
M. Abdul Wassey ◽  
Ashish Giri ◽  
Aakash Raikwar ◽  
Vishal Dogra
Keyword(s):  
Secondary Data ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Delivery Of Care ◽  
Aggregated Data ◽  
Medical Unit ◽  
Demographic Predictors

Background: Diabetes mellitus and hypertension are chronic conditions that, on one hand demand early detection, screening, and treatment and on the other, require longitudinal follow-up for their successful management. Piramal Swasthya’s Arogyaseva program uses two contrasting methods (MMU and static clinic) to deliver diabetes and hypertension-related care. The MMU provides doorstep delivery of care, while the static clinic is located by the highway, is equipped with a telemedicine center, and has slightly higher diagnostic and therapeutic capabilities. The study aims to find the prevalence of diabetes and hypertension, and determine the association between the sociodemographic factors and the type of facility utilized for these conditions.Methods: This cross-sectional study is a secondary data analysis of the aggregated data of patients who availed health services at the Mobile Medical Unit and the static clinic. The data was analyzed to find out the prevalence of diabetes and hypertension, and Binary logistic regression was used to determine socio-demographic predictors of the type of health facility used for diabetes and hypertension-related care.Results: Overall hypertension and diabetes prevalence was 24% and 7%, respectively. Women (aOR 1.3; 95% CI 1.122–1.510), illiterate (aOR 2.61; 95% CI 2.021-3.392), hypertensives (aOR 3.28; 95% CI 2.807-3.846) and the elderly (aOR 1.43; 95% CI 1.204-1.721) were significantly more likely to utilize MMU based outreach facility compared to their respective baseline counterparts.Conclusions: The mobile medical unit can play a significant role in delivering hypertension and diabetes-related care, especially to women and the elderly.

Parents’ Lifestyle, Sedentary Behavior, and Physical Activity in Their Children: A Cross-Sectional Study in Brazil

2019 ◽  
Vol 16 (8) ◽  
pp. 631-636 ◽  
Author(s):  
Diego G.D. Christofaro ◽  
Bruna C. Turi-Lynch ◽  
Kyle R. Lynch ◽  
William R. Tebar ◽  
Rômulo A. Fernandes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Family Environment ◽  
Video Game ◽  
Cross Sectional Study ◽  
Socioeconomic Level ◽  
Tv Viewing ◽  
Cross Sectional ◽  
Male Adolescents ◽  
Different Types

Background: This study investigated associations between different types of sedentary behavior (SB) and physical activity (PA) in parent and their child, including the moderating effects of parent and child sex. Methods: In total, 1231 adolescents, 1202 mothers, and 871 fathers were evaluated. The SB (TV viewing + computer + video game); different types of PA (leisure-time PA, occupational PA, and total PA); and the socioeconomic level were evaluated by questionnaire. The relationship between adolescents’ SB and PA with parental characteristics was estimated by linear regression. Results: The SB of male adolescents was correlated to the father’s SB (β = 0.26; 95% confidence interval [CI], 0.13–0.39) and mother’s SB (β = 0.18; 95% CI, 0.06–0.31). A similar relationship was observed between SB of female adolescents and the father’s SB (β = 0.31; 95% CI, 0.19–0.42) and mother’s SB (β = 0.29; 95% CI, 0.20–0.38]). The SB of girls was inversely related to mother’s occupational PA (β = −2.62; 95% CI, −3.66 to −0.53]). The PA of the boys and girls was correlated with their fathers and mothers PA. All the results were adjusted for age and parent’s socioeconomic level. Conclusions: SB and PA of parents were associated with SB and PA of their children, regardless of gender. Strategies for health promotion should consider the family environment to increase PA and reduce SB.

scholarly journals Associations between Home Environment, Children’s and Parents’ Characteristics and Children’s TV Screen Time Behavior

2021 ◽  
Vol 18 (4) ◽  
pp. 1589
Author(s):  
Carolina Bassul ◽  
Clare A. Corish ◽  
John M. Kearney
Keyword(s):  
Home Environment ◽  
Physical Environment ◽  
Screen Time ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Time Behavior ◽  
Sedentary Behaviors ◽  
Tv Viewing ◽  
Cross Sectional ◽  
Time Availability

In Ireland, television (TV) screen time is a highly prevalent sedentary behavior among children aged less than five years. Little is known about the influence of parental rules and policies or screen time availability and accessibility within the home on children’s TV screen time behaviors. This cross-sectional study aimed to examine the extent to which parents’ sociodemographic and sedentary behaviors are associated with children’s TV screen time; and to determine the associations between parents’ rules and practices, home physical environment and children’s daily TV viewing. Three hundred and thirty-two children aged 3–5 years and their parents participated in the study. Children’s TV screen time and home environmental characteristics (parents’ rules and practices and the physical environment) were assessed using questions from standardized and validated questionnaires. The data were analyzed using binary logistic regression. Within the different sedentary behaviors evaluated, parents’ TV viewing was positively associated with children’s TV screen time (OR 1.65, 95%CI 1.09–2.50, p = 0.018). Leaving the TV on, whether or not it was being watched, was associated with a 38% increased probability of children watching ≥ 1 h TV daily. Children whose parents restricted their outdoor activity were more likely to watch ≥ 1 h TV daily (OR 2.01, 95%CI 1.04–3.88, p = 0.036). Findings from the study demonstrated that parents’ own screen time behaviors, leaving the TV on whether it was being watched or not and restricting outdoor play were associated with higher children’s TV viewing in the home environment. This knowledge is essential to inform future interventions aimed to address the increase in screen time among young children.

scholarly journals Sociodemographic factors and physical activity pattern in people with systemic hypertension

Rev Rene ◽  
2020 ◽  
Vol 21 ◽  
pp. e43949
Author(s):  
Carla Tatiane Oliveira Silva ◽  
Cleise Cristine Ribeiro Borges Oliveira ◽  
Lívia Brito Oliveira ◽  
Elieusa e Silva Sampaio ◽  
Cláudia Geovana da Silva Pires
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Activity Pattern ◽  
Behavior Pattern ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Systemic Hypertension ◽  
Cross Sectional ◽  
Physical Activity Pattern ◽  
Treatment Prevalence

Objective: to verify the association between sociodemographic factors and physical activity pattern in people with systemic hypertension. Methods: a cross-sectional study conducted with 220 hypertensive people. The international physical activity questionnaire was used for data collection and the Statistical Package for the Social Sciences for data treatment. Prevalence ratios and 95% confidence intervals were calculated using a robust Poisson regression model. Results: sedentary behavior pattern prevailed in all sections of the instrument. At work, the sedentary behavior pattern was prevalent in males and in participants aged ≥ 60 years. At home, males were 16.0% more sedentary, age ≥ 60 years old had 13.0% more sedentary behavior pattern and black race 43.0% more sedentary behavior pattern. Conclusion: an association was observed between the sex, age, and race variables in the home domain; and sex and age in the work dimension.

scholarly journals Prevalence of excessive screen time and its association with developmental delay in children aged <5 years: A population-based cross-sectional study in India

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254102
Author(s):  
Samya Varadarajan ◽  
Akila Govindarajan Venguidesvarane ◽  
Karthik Narayanan Ramaswamy ◽  
Muthukumar Rajamohan ◽  
Murugesan Krupa ◽  
...  
Keyword(s):  
Child Development ◽  
Developmental Delay ◽  
Screen Time ◽  
Tamil Nadu ◽  
Sociodemographic Factors ◽  
Population Based ◽  
Cross Sectional Study ◽  
Language Delay ◽  
Sectional Study ◽  
Cross Sectional

The global growth of electronic media usage among children has caused concerns regarding screen time (ST) impact on child development. No previous population-based studies have evaluated ST and child development in India. This study aimed to determine the burden of ST, associated sociodemographic factors, and its impact on domains of child development. A population-based cross-sectional study was conducted in the field practice area of rural and urban health centers in Tamil Nadu, India. A total of 718 children (396 rural and 322 urban) were selected, using a cluster random sampling method. ST estimates were obtained from parents/guardian after a 7-day observation period. The Communication DEALL Developmental Checklist was used to assess child development. The mean ST was 2.39 hours/day (95% confidence interval [CI]: 2.23–2.54), and the prevalence of excessive ST was 73% (95% CI: 69.2–76.8). Excessive ST was significantly associated with the mothers’ ST, screen usage at bedtime, birth order (in children < 2 years), and attending school (in children ≥ 2 years). Increased ST was significantly associated with developmental delay, in particular, in the domains of language acquisition and communication. In children aged ≥ 2 years, a delay in ≥ 3 domains was associated with ST (adjusted odds ratio [AOR] = 17.75, 95% CI: 5.04–62.49, p < 0.001), as was language delay (AOR = 52.92, 95% CI: 12.33–227.21, p < 0.001). In children aged < 2 years, a delay in ≥ 2 domains was associated with ST (AOR = 16.79, 95% CI: 2.26–124.4, p < 0.001), as was language delay (AOR = 20.93, 95% CI: 2.68–163.32, p < 0.01). A very high prevalence of excessive ST was identified, with a significant association with developmental delay in children. There is an urgent need to include education on ST limits at the primary healthcare level.

scholarly journals Are Sedentary Behaviors Associated with Sleep Duration? A Cross-Sectional Case from Croatia

2019 ◽  
Vol 16 (2) ◽  
pp. 200 ◽  
Author(s):  
Lovro Štefan ◽  
Maja Horvatin ◽  
Mario Baić
Keyword(s):  
Sedentary Behavior ◽  
Sleep Duration ◽  
Screen Time ◽  
Smoking Status ◽  
Cross Sectional Study ◽  
Sedentary Behaviors ◽  
Cross Sectional ◽  
The Third ◽  
Extreme Risk ◽  
The City

Although both sedentary behavior and sleep duration are risk factors for obesity, little evidence is provided regarding their mutual associations in young adults, who are at extreme risk of spending more time sitting and having irregular sleeping hygiene. Thus, the main purpose of the present study was to explore the associations between different sedentary behaviors and sleep duration. In this cross-sectional study, we recruited 2100 university students from the city of Zagreb. To assess sedentary behaviors and sleep duration, we used validated questionnaires. The associations between sedentary behaviors and sleep duration were analyzed using logistic regression analyses and were adjusted for sex, body-mass index, self-rated health, socioeconomic status, smoking status, binge drinking, psychological distress and chronic disease/s. Participants being in the third (OR = 1.45; 95% CI 1.05 to 2.01) and fourth (OR = 1.82; 95% CI 1.26 to 2.61) quartile of the screen-time, in the third (OR = 1.49; 95% CI 1.05 to 2.13) and fourth (OR = 1.72; 95% CI 1.22 to 2.42) quartile of the leisure-time sedentary behavior and in the fourth (OR = 1.45; 95% CI 1.04 to 2.02) quartile of the total sedentary behavior were more likely to be ‘short’ sleepers (<7 h). Also, participants being in the third (OR = 1.63; 95% CI 1.16 to 2.30) and fourth (OR = 1.93; 95% CI 1.33 to 2.81) quartile of the screen-time and in the fourth (OR = 1.45; 95% CI 1.05 to 2.00) quartile of the total sedentary behavior were more likely to be ‘long’ sleepers (>9 h). Our study shows that sedentary behavior in screen-time and total sedentary behavior are associated with both ‘short’ and ‘long’ sleep duration.

Gambling-like video game practices: A cross-sectional study of links with problem gambling and disordered gaming

2019 ◽  
Author(s):  
David Zendle
Keyword(s):  
Video Games ◽  
Problem Gambling ◽  
Video Game ◽  
Large Scale ◽  
Significant Degree ◽  
Cross Sectional Study ◽  
Video Gaming ◽  
Cross Sectional ◽  
Streaming Services ◽  
Clinically Significant

A variety of practices have recently emerged which are related to both video games and gambling. Most prominent of these are loot boxes. However, a broad range of other activities have recently emerged which are also related to both gambling and video games: esports betting, real-money video gaming, token wagering, social casino play, and watching videos of both loot box opening and gambling on game streaming services like Twitch.Whilst a nascent body of research has established the robust existence of a relationship between loot box spending and both problem gambling and disordered gaming, little research exists which examines whether similar links may exist for the diverse practices outlined above. Furthermore, no research has thus far attempted to estimate the prevalence of these activities.A large-scale survey of a representative sample of UK adults (n=1081) was therefore conducted in order to investigate these issues. Engagement in all measured forms of gambling-like video game practices were significantly associated with both problem gambling and disordered gaming. An aggregate measure of engagement was associated with both these outcomes to a clinically significant degree (r=0.23 and r=0.43). Engagement in gambling-like video game practices appeared widespread, with a 95% confidence interval estimating that 16.3% – 20.9% of the population engaged in these activities at least once in the last year. Engagement in these practices was highly inter-correlated: Individuals who engaged in one practice were likely to engage in several more.Overall, these results suggest that the potential effects of the blurring of lines between video games and gambling should not primarily be understood to be due to the presence of loot boxes in video games. They suggest the existence of a convergent ecosystem of gambling-like video game practices, whose causal relationships with problem gambling and disordered gaming are currently unclear but must urgently be investigated.

Is there a relationship between gestational diabetes and postpartum depression?

2020 ◽  
Vol 16 ◽  
Author(s):  
Salman Khazaei ◽  
Erfan Ayubi ◽  
Saeid Bashirian ◽  
Ronak Hamzehei ◽  
Ensiyeh Jenabi
Keyword(s):  
Gestational Diabetes ◽  
Postpartum Depression ◽  
Odds Ratio ◽  
Depression Scale ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
University Education ◽  
P Value ◽  
Cross Sectional ◽  
The Relationship

Background: The relationship between gestational diabetes and postpartum depression (PPD) is poorly understood and seldom studied. Objective: In an effort to explore this issue, the present study investigated the relationship between gestational diabetes and PPD. Methods: The present cross-sectional study was performed with 342 women who were referred to four urban health centers of Hamadan city, west of Iran. We used convenience sampling as a method to recruit women in each health center. We used a researcher-made checklist for gathering data on socio-demographic characteristics and potential risk factors of PPD. The Persian validated version of the Edinburgh Postnatal Depression Scale (EPDS) was used to assess PPD. Univariate and multivariable binary logistic regression was applied to estimate the odds ratio (OR) (95% confidence interval [CI]). Results: Gestational diabetes was identified as the most important risk factor for PPD with OR (95% CI) of 2.19 (1.11, 4.31); P-value=0.02 after adjusting for other variables. Moreover, the adjusted odds ratio showed that PPD among lesseducated women (primary school) was 3.5 times higher compared to women with a university education (OR=3.54, 95% CI: 1.27, 9.84; P-value=0.01). Conclusion: Our findings suggested that PPD is more likely among women with gestational diabetes and those who were less educated. Interventional and educational activities for reducing the risk of PPD can be targeted for use with this population.

Determinants of Screen Time Among Children Under Five Years: A Cross Sectional Study (Preprint)

2020 ◽  
Author(s):  
Diana Raj ◽  
Norliza Ahmad ◽  
Nor Afiah Mohd. Zulkefli ◽  
Zalilah Mohd Shariff
Keyword(s):  
Screen Time ◽  
Well Being ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Children Under Five ◽  
Under Five ◽  
Health Clinics ◽  
Age Appropriate ◽  
Cross Sectional Design ◽  
Time Future

BACKGROUND Excessive screen time is detrimental to the child’s health. However, screen time situation among Malaysian children is poorly understood. OBJECTIVE This study aims to identify the prevalence and determinants of screen time among children under five years old using the latest WHO guidelines. METHODS A cross sectional design was used to randomly select 489 children from nine government health clinics. Total screen time and factors were assessed using validated self-administered questionnaires and analyzed using multiple logistic regression. RESULTS Results show an overall prevalence of 91.4% with a median of 3.00 hours (IQR: 1.36-5.04). Majority of children watched television (66%), followed by mobile phones (30%) and computers (4%). The determinants of screen time were Malay ethnicity, (AOR 3.56, 95% CI: 1.65-7.68), parental age of 30 years or more (AOR 3.12, 95% CI: 1.58-6.16), parental screen time exceeding 2 hours a day (AOR 2.42, 95% CI: 1.24-4.73), parent’s moderate self-efficacy to influence child’s physical activity (AOR 2.29, 95% CI: 1.01-5.20) and parent’s positive perception on influence of screen time on child’s cognitive well-being (AOR 1.15, 95% CI:1.01-1.32). CONCLUSIONS Parents played an important role in determining their child’s screen time. Future interventions that focus on the parents may ensure age appropriate screen time for their children.

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