scholarly journals KORELASI ANTARA KONSUMSI KOPI DENGAN TEKANAN DAN GULA DARAH, IMT, Hb, LAMA TIDUR DAN SCREEN TIME BARISTA DI KABUPATEN MAJALENGKA TAHUN 2021

2021 ◽  
Vol 1 (2) ◽  
pp. 160-170
Author(s):  
Hafidz Hilal Assegaf ◽  
Susianto Tseng ◽  
Mamlukah Mamlukah
Keyword(s):  

Budaya minum kopi menjadi salah satu budaya paling popular dan digemari masyarakat. Kebiasaan minum kopi berkorelasi dengan berbagai masalah kesehatan, baik yang menguntungkan maupun merugikan. Barista terkait dalam pekerjaannya memiliki peluang untuk lebih banyak meminum kopi dalam berbagai sajian sehingga dikhawatirkan memberikan dampak pada status kesehatannya. Tujuan penelitian ini untuk menganalisis korelasi antara konsumsi kopi dengan tekanan dan gula darah, IMT, Hb, lama tidur dan screen time barista di Kabupaten Majalengka. Penelitian ini menggunakan desain cross-sectional. Sebanyak 40 barista di Majalengka terlibat dalam penelitian ini menggunakan total sampling. Instrumen yang digunakan adalah kuesioner, pengambilan darah dan pengukuran indeks massa tubuh. Data dianalisis menggunakan Rank Spearman dan Regresi Logistik Berganda. Responden rata-rata meminum kopi sebanyak 4 gelas perhari, memiliki tekanan darah sistolik 117 mmHg, diastolik 77,75 mmHg, kadar gula darah sebesar 115,5 mg/dl dan kadar Hemoglobin 13,8 mg/dl. Semua responden memiliki status gizi baik, waktu tidur yang cukup (8,74 jam), dan screen time yang berlebih (8,1 jam). Lama tidur berkorelasi negatif dengan konsumsi kopi (p=0,012) dengan koefisien korelasi sebesar -0,395 (kekuatan hubungan sedang). Konsumsi kopi tidak berkorelasi dengan tekanan darah (p=0,168), gula darah (p=0,257), IMT (p=0,251), kadar Hb (p=0,93) dan screen time (p=0,899). Konsumsi kopi berkorelasi dengan lama tidur setelah dikontrol dengan tekanan darah, gula darah, dan indeks massa tubuh barista (p=0,009). Konsumsi kopi mempengaruhi lama tidur yang dikontrol dengan variabel tekanan darah, kadar gula darah dan indeks massa tubuh barista di Kabupaten Majalengka. Perlunya promosi tentang pola konsumsi dan dampak kesehatan terhadap barista dan pemilik kafe di Kabupaten Majalengka.  

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1202-1207
Author(s):  
Pavithra S ◽  
Dheepak Sundar M

To assess dry eye symptoms (DES) and quality of sleep in engineering students during the Covid19 pandemic lockdown and also to assess the association between DES and sleep quality. A cross-sectional questionnaire-based study was carried out among 396 engineering students studying in Saveetha engineering college. The study tool used was a semi-structured google form questionnaire designed for assessing digital device usage, symptoms of dry eye disease and sleep pattern. Responses were analyzed using appropriate statistical tests. Overall 64.1% attained a score of more than 10, indicating the presence of DES. 70.2% of the study population used digital screens for more than 13 hours. A statistically significant association was found between increased screen time and presence of DES(p<0.05). 64.9% had a score of >18 indicating reduced sleep quality. About 77.1% of the students with DES had reduced sleep quality, and a significant association (p<0.01) was observed between the two. During the Covid19 pandemic lockdown, there appears to be rising prevalence of DES in student population, one of the reasons being increased screen time. The sleep quality was also found to be reduced, and a significant association was found between DES and sleep quality.


2020 ◽  
Author(s):  
Diana Raj ◽  
Norliza Ahmad ◽  
Nor Afiah Mohd. Zulkefli ◽  
Zalilah Mohd Shariff

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.


Author(s):  
Yu Gao ◽  
Ning Fu ◽  
Yuping Mao ◽  
Lu Shi

To better understand the behavioral factors contributing to the mental health status among student athletes, we examined the link between recreational screen time and college student athlete’s anxieties. This cross-sectional study was conducted among 278 college student athletes from Shanghai, China, aged between 17 and 25 years old (M = 19.4, SD = 1.5). Multivariate regression analyses, controlled for age, gender, rural vs. urban residency, and individual vs. team sports factors, were performed to analyze the association between their average daily recreational screen time in a week and their dispositional anxiety, pre-competition anxiety, and anxiety during competition, which were measured by the Chinese version of validated psychometric scales among athlete population. Significant results were found in both dispositional anxiety and situational anxiety in relation to recreational screen time among college athletes. Conclusions: Our findings indicate that excessive recreational screen time is a risk indicator of college student athletes’ dispositional anxiety, pre-competition anxiety, and anxiety during competition.


Author(s):  
Yaxuan Zhang ◽  
Jiwei Wang ◽  
Xinyuan Lu ◽  
Beibei Che ◽  
Jinming Yu

This study aimed to investigate prolonged screen time and using electronic devices before sleep and their associated factors in elderly people in Shaanxi province of China. We conducted a cross-sectional study among 2647 elderly participants aged 60–88 years. Data were collected through questionnaires. Demographic characteristics, screen time, using electronic devices before sleep, health status, lifestyles, sleep quality, and other associated factors were investigated. Logistic regression analysis was used to analyze the relationship between the associated factors of screen time and using electronic devices before sleep. The crude odds ratio (cOR) and adjusted odds ratio (aOR) and their 95% confidence intervals (CI) were calculated. A total of 1784 subjects completed the questionnaire. There were 6.89% participants with prolonged screen time and 13.45% using electronic devices before sleep frequently. Prolonged screen time was associated with personal monthly income (aOR = 1.205, p = 0.001), number of household residents (aOR = 0.860, p = 0.010), rural residents (aOR = 0.617, p = 0.038), and regular drinkers (aOR = 2.889, p < 0.001). Using electronic devices before sleep was associated with being female (aOR = 0.657, p = 0.007), family monthly income (aOR = 0.866, p = 0.002), being an occasional drinker (aOR = 1.891, p = 0.005), and self-reported sleep quality (aOR = 1.593, p = 0.007). In conclusion, several factors related to screen time or using electronic devices before sleep were identified. Only being a drinker was a common associated factor for both screen time and using electronic devices before sleep.


Author(s):  
Marga Decraene ◽  
Vera Verbestel ◽  
Greet Cardon ◽  
Violeta Iotova ◽  
Berthold Koletzko ◽  
...  

In 2019, the World Health Organization (WHO) published 24 h movement behavior guidelines for preschoolers with recommendations for physical activity (PA), screen time (ST), and sleep. The present study investigated the proportion of preschoolers complying with these guidelines (on a total week, weekdays and weekend days), and the associations with adiposity. This cross-sectional study included 2468 preschoolers (mean age: 4.75 years; 41.9% boys) from six European countries. The associations were investigated in the total sample and in girls and boys separately. PA was objectively assessed by step counts/day. Parent-reported questionnaires provided ST and sleep duration data. Generalized estimating equations were used to analyze the association between guideline compliance and adiposity indicators, i.e., body mass index (BMI) z-score and waist to height ratio (WHR). Only 10.1% of the preschoolers complied with the 24 h movement behavior guidelines, 69.2% with the sleep duration guideline, 39.8% with the ST guideline and 32.7% with the PA guideline. No association was found between guideline compliance with all three movement behaviors and adiposity. However, associations were found for isolated weekday screen time (BMI z-scores and WHR: p = 0.04) and weekend day sleep duration (BMI z-scores and WHR: p = 0.03) guideline compliance with both lower adiposity indicators. The latter association for sleep duration was also found in girls separately (BMI z-scores: p = 0.02; WHR: p = 0.03), but not in boys. Longitudinal studies, including intervention studies, are needed to increase preschoolers’ guideline compliance and to gain more insight into the manifestation of adiposity in children and its association with 24 h movement behaviors from a young age onwards.


Author(s):  
Taru Manyanga ◽  
Joel D. Barnes ◽  
Jean-Philippe Chaput ◽  
Peter T. Katzmarzyk ◽  
Antonio Prista ◽  
...  

Abstract Background Insufficient physical activity, short sleep duration, and excessive recreational screen time are increasing globally. Currently, there are little to no data describing prevalences and correlates of movement behaviours among children in low-middle-income countries. The few available reports do not include both urban and rural respondents, despite the large proportion of rural populations in low-middle-income countries. We compared the prevalence of meeting 24-h movement guidelines and examined correlates of meeting the guidelines in a sample of urban and rural Mozambican schoolchildren. Methods This is cross-sectional study of 9–11 year-old children (n = 683) recruited from 10 urban and 7 rural schools in Mozambique. Moderate- to vigorous-intensity physical activity (MVPA) and sleep duration were measured by waist-worn Actigraph GT3X+ accelerometers. Accelerometers were worn 24 h/day for up to 8 days. Recreational screen time was self-reported. Potential correlates of meeting 24-h movement guidelines were directly measured or obtained from validated items of context-adapted questionnaires. Multilevel multivariable logit models were used to determine the correlates of movement behaviours. Meeting 24-h movement guidelines was defined as ≥60 min/day of MVPA, ≤2 h/day of recreational screen time, and between 9 and 11 h/night of sleep. Results More rural (17.7%) than urban (3.6%) children met all three 24-h movement guidelines. Mean MVPA was lower (82.9 ± 29.5 min/day) among urban than rural children (96.7 ± 31.8 min/day). Rural children had longer sleep duration (8.9 ± 0.7 h/night) and shorter recreational screen time (2.7 ± 1.9 h/day) than their urban counterparts (8.7 ± 0.9 h/night and 5.0 ± 2.3 h/day respectively). Parental education (OR: 0.37; CI: 0.16–0.87), school location (OR: 0.21; CI: 0.09–0.52), and outdoor time (OR: 0.67; CI: 0.53–0.85) were significant correlates of meeting all three 24-h movement guidelines. Conclusions Prevalence and correlates of meeting movement guidelines differed between urban and rural schoolchildren in Mozambique. On average, both groups had higher daily MVPA minutes, shorter sleep duration, and higher recreational screen time than the 24-h movement guidelines recommend. These findings (e.g., higher than recommended mean daily MVPA minutes) differ from those from high-income countries and highlight the need to sample from both urban and rural areas.


Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 493
Author(s):  
Olga Malisova ◽  
Antonis Vlassopoulos ◽  
Aikaterini Kandyliari ◽  
Evaggelia Panagodimou ◽  
Maria Kapsokefalou

School Lunch programs are a common strategy to address social inequalities in food access among children, especially food insecurity. The aim of this study was to evaluate the dietary intake and lifestyle habits of children aged 10–12 years enrolled in the School Lunch Program in Greece. A cross-sectional survey of fifth and sixth grade students, School Lunch recipients (n = 609) and control subjects (n = 736), collected data on sociodemographic, nutritional and lifestyle habits via self-reported questionnaires during May–October 2019. Despite enrollment in the School Lunch Program children in this group reported consuming less meals during the day (3.47 ± 1.38 vs. 3.65 ± 1.35, p = 0.002). No differences were seen in intakes of energy and macronutrients, however School Lunch recipients reported lower intakes of cereals/potatoes and legumes but higher fruit intake (2.32 ± 1.59 vs. 1.97 ± 1.72, p < 0.05). School Lunch recipients reported 42min/d and 28min/d higher screen-time during weekdays and weekends, respectively. Linear regression highlighted that dietary quality was not associated with School Lunch enrollment but rather sleep duration and screen time had a stronger influence on dietary habits. Enrollment in a School Lunch Program was linked to sustained differences in sedentary lifestyle habits but less so in dietary habits.


2021 ◽  
Vol 6 (7) ◽  

Background: Since Covid-19 was declared a pandemic and a worldwide lockdown was imposed, it was predicted that there would be an increase in screen usage, especially among students, which could potentially have a lot of negative symptomology associated with it. Objective: The objective of our study was to determine the extent of screen exposure among medical students during lockdown and to study the symptoms that they faced due to it along with their frequency. Methods: In our descriptive cross-sectional study, we distributed the specifically designed questionnaire through online media to the concerned population, in order to gather important data about the physical and mental symptoms experienced by the medical students as a result of excessive screen exposure. Results: Of the 400 participants, 93.75 % reported an increase in screen time during the lockdown. As a consequence of increased screen usage, 207 (51.75%) of the participants reported headache, 267 (66.75%) reported fatigue, 283 (70.75%) reported eye strain, 121 (30.25%) reported dry eyes, 143 (35.75%) reported blurry vision, 154 (38.5%) reported teary eyes, 154 (38.5%) reported ear ache, 247 (61.75%) reported neck and back stiffness and 148 (37%) participants agreed to having experienced fingers and hand fatigue. We also established that increasing screen time was associated with a progressive decrease in physical activity (p=0.11) and increase in food consumption (p=0.002). A significant association was also recorded with weight gain (p=0.03). We found that the students previously diagnosed with a refractive error were more likely to complain of eye strain (p=0.004) and those diagnosed with migraine experienced more screen related headache (p=0.001). Of the 11 symptoms related to mental health in the questionnaire, students with screen usage of less than 4 hours marked a median of 2 symptoms, those with screen time of 4-8 hours marked a median of 4 symptoms and those with a screen usage >8 hours ticked a median of 5 symptoms. Students who had been diagnosed with anxiety or depression in the past checked an average of 5.24 symptoms while those with no such diagnosis had only 3.51 symptoms on average. Conclusion: The results proved a potential impact on the general health of the medical students. A significant increase in weight was observed along with other serious short and long term effects on their physical and mental wellbeing.


Author(s):  
Russell Jago ◽  
Janice L Thompson ◽  
Simon J Sebire ◽  
Lesley Wood ◽  
Laura Pool ◽  
...  

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