scholarly journals Relations of Food Pattern and Physical Activity with Academic Achievement and Cognitive Function

2020 ◽  
Vol 2 (2) ◽  
pp. 56-65
Author(s):  
Ayu Wulandari ◽  
Zulhaida Lubis ◽  
Evawani Aritonang

Introduction: The results of the initial survey showed that there were seven children with low food pattern and moderate physical activity was having a cognitive function and low academic achievement at school, and three children with good food pattern and moderate physical activity were having good cognitive and high academic achievement in school. This study was to determine the relations of food patterns and physical activity with academic achievement and cognitive function. Methods: This study was a cross-sectional study that was conducted at Elementary School 2 Blangkeujeren, West Labuhanhaji Sub-district, South Aceh District from March 2017 to June 2017. This study used a total sampling design is 81 students. Subjects are all students in grade five (42 students) and six (39 students). Data were collected by using questionnaires include Food Frequency Questionary (FFQ), Food Recall 24 hours, Physical Activity Level (PAL). Last year's report card value and the Mini-Mental State Examination (MMSE) were used to assess cognitive children. Results: The relationship between the type and the amount of macro and micronutrient intake obtained p-value<0.05. This study also showed a relationship between food patterns and cognitive function in children. Based on the research results, there is a relationship between physical activity and academic achievement (p<0.05). There is a relationship between physical activity and cognitive function in children. Conclusion: There is a relationship between food patterns, physical activity, academic achievement, and cognitive function.

2021 ◽  
Vol 11 (6) ◽  
pp. 294-300
Author(s):  
Lalli Singh ◽  
Devangi Desai

Background:- Lockdown in India happened due to COVID-19 pandemic. In this lockdown, government urged people to stay at home to prevent the spread of the virus. Prolonged homestay for longer duration leads to sedentary behavior which affects physical as well as mental health of the individuals. Aim:- This study aimed at determining the impact of COVID-19 pandemic on the physical activity and mental health of physiotherapy college students. Also to know the correlation between physical activity and mental health in physiotherapy students keeping pandemic COVID-19 in between them. Method:- A web-based survey was undertaken. 250 physiotherapy students were approached out of which 214 had successfully filled up the entire form. The questionnaire of IPAQ(SF) for physical activity level and DASS-21 for mental health were used. Data Analysis:- Prevalence for physical activity and prevalence of mental health status for physiotherapy students was calculated and presented in form of frequency distribution and spearman’s correlation was used to find the any relation between them. Results:- Prevalence of 79% was obtained for mild physical activity. 17% for moderate physical activity and 4% severe physical activity was obtained. Prevalence of mental health status were noted it showed 29.90% mild, 32.71% moderate and 10.73% severe level of affection in physiotherapy students. Also, there is a weak positive co relation between physical activity and mental health of physiotherapy students considering pandemic. Conclusion:- With the present study it can be concluded that there is a significant reduction in the physical activity and also prevalence for mental health status shows deterioration level among physiotherapy students. Looking at the current scenario early intervention are needed to improve the mental health status and physical activity of physiotherapy students. Key words: Covid 19, lockdown, stress, physical activity and health status.


2021 ◽  
Vol 12 ◽  
Author(s):  
Roberta Frontini ◽  
Ricardo Rebelo-Gonçalves ◽  
Nuno Amaro ◽  
Rogério Salvador ◽  
Rui Matos ◽  
...  

Nowadays and worldwide, the attention is focused on coronavirus disease (COVID-19), and its consequences on mental health are yet to be fully understood. It is important to capture differences in anxiety levels among populations, groups, and the gender-related variation. Therefore, the present study had two main purposes: (1) to characterize the levels of state anxiety and trait anxiety by examining gender-related, sleep-related, and physical activity-related variations in a nonrepresentative sample of the Portuguese population during the first weeks of lockdown; and (2) to explore the possible relationship between trait anxiety and state anxiety and the possible role of gender as a moderator. This cross-sectional study comprised 1,332 Portuguese adults (aged 18–55 years old) recruited online during COVID-19 outbreak measures. Participants answered to sociodemographic data and the Portuguese version of the State-Trait Anxiety Inventory (STAI). Gender differences were found in both state anxiety (p = &lt; 0.001; d = 0.385) and trait anxiety (p = &lt; 0.001; d = 0.467) with females presenting higher values. People reporting doing more physical activity than usual during COVID-19 lockdown presented lower levels of state anxiety (p = &lt; 0.001; d = 0.200). People reporting more satisfaction with the quality of sleep presented lower levels of both state anxiety (p = &lt; 0.001; d = 0.701) and trait anxiety (p = &lt; 0.001; d = 0.899). Variation associated with the physical activity level (low, moderate, and high) was significantly different among groups in both state anxiety (p = &lt; 0.001) and trait anxiety (p = &lt; 0.001). When analyzing in more detail separating the levels of physical activity, participants performing moderate and high physical activity showed lower values of state and trait anxiety compared to participants with low physical activity. Participants performing high physical activity also showed lower values of state anxiety compared to participants performing moderate physical activity. Higher levels of trait anxiety were related to higher levels of state anxiety, but this association was not moderated by gender. Interventions aiming to support people psychologically during this outbreak should consider anxiety as well as gender and possible behavioral changes in sleep and physical activity, for example. Health professionals should not only consider the anxiety related to the situation we are living but also address trait anxiety to help overcome COVID-19 psychological consequences.


2021 ◽  
Vol 5 (2) ◽  
pp. 267
Author(s):  
Wisoedhanie Widi Anugrahanti ◽  
Romaden Marbun ◽  
Nadia Oktiffany Putri

ABSTRACT Physical activity is a factor that can inhibit cognitive decrease in the elderly. One of the preventive actions that can be done by the elderly in slowing down the decrease of cognitive function is to increase physical activity. Physical activity is thought to stimulate nerve growth which might inhibit cognitive decrease in the elderly. When doing physical activity, the brain will be stimulated so that it will increase the Brain Derived Neurotropic Factor which plays a role in keeping nerve cells fit and healthy. Based on the explanation, the aim of this study was to identify the relationship between physical activity and cognitive function in the elderly. This study was a quantitative study with a categorical correlative analytic method. The study used cross sectional study design. The chi-square test and ordinal logistic regression test were used for data analysis. The results of this study stated that the overall physical activities which were exercise, mild activity, heavy activity, use of stairs and participate in social activities showed a significant relationship to cognitive function. Participating in social activities and mild activity were the most significant physical activities that showed relationship to cognitive function, with p-value = 0.001 < 0.05. In conclusion, the findings highlight that the choice of appropriate physical activity can help to maintain cognitive function in the elderly. Keywords: physical activity, cognitive function, elderly


2020 ◽  
Author(s):  
Befikadu Tariku Gutema ◽  
Adefris Chuka ◽  
Gistane Ayele ◽  
Eshetu Zerhun Tariku ◽  
Zeleke Aschalew ◽  
...  

Abstract Background: Alcohol consumption is associated with different types of illness, particularly heavy episodic drinking considerably increases the risk of non- communicable diseases burden. The aim of the study was to assess the prevalence of heavy episodic drinking and associated factors in Arba Minch Health and Demographic Surveillance Site (HDSS).Methods: A community-based cross-sectional study was conducted in 2017 among adult residents of Arba Minch HDSS. Using Arba Minch HDSS database, 3368 individuals were selected by simple random sampling techniques. From WHO STEPS instruments, step one was applied for this study. Variables with a p-value of less than 0.25 for bivariate analysis entered into a multivariable logistic regression model to outline the independent predictors of the heavy episodic drinking. To assess the presence of an association between dependent and independent variables, a p-value of less than 0.05 was considered.Results: The prevalence of heavy episodic drinking was 13.7% (95% CI: 12.6–14.9). The study has shown that heavy episodic drinking was significantly associated with occupation (daily laborer [AOR=0.53; 95% C.I: 0.31–0.91] and housewives [AOR=0.64; 95% C.I: 0.45–0.90] compared with farmers), wealth index (2nd quintiles [AOR =0.56; 95% C.I: 0.41–0.75) and 3rd quintiles [AOR = 0.68; 95% C.I: 0.48–0.96] compared with 1st quintiles), climatic zone (midland [AOR=1.74;95% CI: 1.08–2.82), highland [AOR=1.72;95% CI: 1.05–2.81] compared with lowland) and physical activity level (high physical activity [AOR= 1.59, 95% CI: 1.19 – 2.12] compared with low physical activity). In addition, tobacco use [AOR=4.29;95% CI: 3.39–5.44], and khat use [AOR=4.48; 95% CI: 2.56–8.17) were also associated with heavy episodic drinking among the study participants. Conclusions: More than one in ten adults reported heavy episodic drinking in the study area. Intervention programs that aim to prevent heavy episodic drinking should be designed appropriately for individuals from lower wealth status, and for highlander.


2019 ◽  
pp. 137-143
Author(s):  
Dennys Christovel Dese ◽  
Cahyo Wibowo

Peningkatan jumlah lansia setiap tahunnya harus dijadikan perhatian, akibat adanya peningkatan jumlah lansia masalah yang dihadapi akan menjadi semakin kompleks, salah satunya adalah masalah yang berkaitan dengan gejala penuaan. Menurunnya kapasitas intelektual berhubungan erat dengan fungsi kognitif pada lansia. Aktivitas fisik diidentifikasi sebagai salah satu faktor yang mempengaruhi fungsi kognitif. Aktivitas fisik bermanfaat untuk lansia sebagai pencegahan dan demensia. Penelitian ini merupakan penelitian analitik observasional dengan menggunakan pendekatan cross sectional. Penelitian dilakukan di yayasan sosial Panti Wredha Salib Putih Salatiga pada bulan Juni 2018. Populasi dalam penelitian ini adalah lansia yang berumur ?60 tahun. Subjek pada penelitian ini berjumlah 16 responden. Variabel independen dalam penelitian ini adalah aktivitas fisik yang dinilai dengan menggunakan instrument GPAQ. Sedangkan variabel dependen dalam penelitian ini adalah fungsi kognitif yang dinilai dengan instrument MMSE. Terdapat 4 orang (25%) yang masuk dalam kategori fungsi kognitif normal dengan kategori aktifitas fisik sedang 1 orang dan aktifitas berat 3 orang, kemudian yang termasuk dalam kategori gangguan fungsi kognitif ringan sebanyak 11 orang (68,75%), dengan kategori aktifitas fisik sedang 8 orang dan aktifitas ringan 3 orang. Sedangkan yang termasuk dalam kategori gangguan fungsi kognitif berat, terdapat 1 orang (6,25%) dengan kategori aktifitasnya ringan. Taraf signifikansi antar variabel tingkat aktifitas fisik dan fungsi kognitif pada lansia adalah p=0.007 atau p<0,05, sehingga dapat disimpulkan ada  hubungan antara tingkat aktifitas fisik dengan fungsi kognitif pada lansia.   Increasing the number of elderly people every year should be a concern, due to an increase in the number of elderly problems faced will become increasingly complex, one of which is a problem related to the symptoms of aging. Decreased intellectual capacity is closely related to cognitive function in the elderly. Physical activity is identified as one of the factors that influence cognitive function. Physical activity is beneficial for the elderly as prevention and dementia. This study was an observational analytic study using a cross sectional approach. The study was conducted at the social foundation nursing home in the white cross in June 2018. The population in this study was elderly aged ≥60 years. The subjects in this study were 16 respondents. The independent variable in this study is physical activity that is assessed using the GPAQ instrument. While the dependent variable in this study was cognitive function which was assessed by the MMSE instrument. There are 4 people (25%) who fall into the category of normal cognitive function with moderate physical activity categories 1 person and heavy activities 3 people, then those included in the category of mild cognitive function disorders are 11 people (68.75%), with the category of physical activity being 8 people and 3 light activities. While those included in the category of severe cognitive function disorders, there is 1 person (6.25%) with a mild activity category. The significance level between the level of physical activity and cognitive function in the elderly is p = 0.007 or p <0.05, so it can be concluded that there is a relationship between the level of physical activity and cognitive function in the elderly.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared


2017 ◽  
Vol 9 (4) ◽  
pp. 266 ◽  
Author(s):  
Husam Eldin Elsawi Khalafalla ◽  
Mohamed Salih Mahfouz ◽  
Muath Hassan Ibrahim Najmi ◽  
Sayyaf Abdullah Mohammad Najmi ◽  
Qasem Ali Yahya Arishi ◽  
...  

BACKGROUND: Physical activity is one of the most important factors that affect human health; it reduces the chances of hypertension, coronary heart disease, stroke, diabetes, breast and colon cancer, and depression.OBJECTIVES: The objectives of this study were to measure prevalence of physical activity and to determine the factors affecting the level of physical activity among medical student in Jazan University.METHODS: A cross-sectional study was conducted among the students of medical colleges of Jazan University. A random sample of 419 was determined using most recent physical activity prevalence. A validated self-administered questionnaire was used for data collection.RESULTS: There is a high prevalence of inactivity among study participants (88.1%). Females (91.7%) were more significantly (p value=0.013) inactive than males (83.8%). The most influential barrier perceived by participants is (heavy) academic work as well as lack of places for physical activity; the latter factor being more effective in hindering female students' physical activity.CONCLUSION: Results revealed that the inactivity rate was very high among medical students. The results of this study call for a well-planned intervention at the university level for improving the level of physical activity among university students.


2021 ◽  
Vol 7 (1) ◽  
pp. ID20
Author(s):  
Shahid Alam ◽  
Sardar Bakht Khan ◽  
Qamar Wahid Khattak ◽  
Syed Zain Ul Abidin ◽  
Salman Farooqi ◽  
...  

Background: Physical activity is one of the leading health indicators, considered an essential factor in the population's health and quality of life promotion. Physical inactivity is the fourth leading risk factor for global mortality. Physical inactivity has been linked with chronic disease and obesity in most populations. This study aims to compare the prevalence of physical activity and overweight/obesity among students of the university. Methods: A cross-sectional survey was conducted from March to September 2019 on undergraduate students from different departments of Peshawar University. A sample of 377 (male n = 243, female n = 134) was taken through convenience sampling. Those individuals who were physically disabled and not willing to participate were excluded from the study. Those meeting the inclusion criteria were given the International Physical Activity Questionnaire (IPAQ short form). Demographic data included age, weight, and height was self-stated by the participants. The levels of physical activity in each of three domains (leisure, transport, and domestic) were calculated and presented as metabolic equivalent (M.E.T.) hour per week in the form of means, percentage, and frequency in different physical activity domains. Results: The overall sample showed that 13.70% of participants were inactive, 27.76% showed a low level of physical activity, 41.29% showed moderate physical activity level, and 17.24% showed a high level of physical activity. A total of 90.98% of participants were involved in leisure physical activities, 93.10% presented transport-related physical activity, and 74.80% were involved in domestic-related physical activity. Average time spent during sitting was found to be 53.32 hrs/week and 7.61 hrs/ day, with females being more involved in sitting activities as compared to males. A significant difference was found between B.M.I. and sitting domain (p-value 0.002) with a Pearson value of -0.12 showing a negative correlation. Conclusion: The B.M.I. and Physical Activity are found negatively associated with each other. Male students were more physically active than females as females spend their majority of time sitting. It is concluded that students are moderately active, while a minimal percent of students are highly active. There were a few numbers of respondents too who were physically inactive, which shows that there is still unawareness of physical activity on the university level.


2021 ◽  
Author(s):  
João Victor de Araújo Souza ◽  
Monalisa Silva de França ◽  
Nayara Karina Ferreira Pereira ◽  
Denise Soares de Araújo ◽  
Roberta de Oliveira Cacho ◽  
...  

Introduction: Stroke is a major cause of death and mortality worldwide. The sedentary lifestyle is a modifiable risk factor and the regular practice of physical activity can reduce the recurrence of stroke and its symptoms. Objective: To characterize the level of physical activity of post-stroke patients before and after the event. Methodology: This is a cross-sectional, analytical study. The population of the study consisted of patients diagnosed with stroke, in the chronic phase under treatment or that have already been discharged from the Physiotherapy School Clinic of FACISA in Santa Cruz-RN. The individuals were evaluated by the Modified Baecker Questionnaire for the Elderly (QBMI) that classifies the level of physical activity in: sedentary (-9), active (9 to 16), and athletes (+16). The normality of the variables was verified by the Shapiro-Wilk test. Wilcoxon’s test was used for comparative analysis of QBMI before and after stroke. Results: Nineteen patients participated (8 male and 11 female) with a mean age of 63 years, of these, 11 had systemic hypertension. Before, 3 were classified as sedentary (score mean: 5.34), 5 active (score mean: 12.254) and 1 athlete ( score mean: 27.04). After the stroke, 18 were classified as sedentary (score mean: 1.46) (p=0.001). Conclusion: There was a reduction in the participants’ level of physical activity, showing greater sedentariness after stroke, although physical activity is essential for secondary prevention of stroke.


2017 ◽  
Vol 1 (2) ◽  
pp. 62 ◽  
Author(s):  
Haleama Al Sabbah ◽  
Shatha Muhsineh

Background: Growing evidence is showing high levels of physical inactivity and disordered eating attitudes among young females in the United Arab Emirates. This is clearly concerning, but little is known about the activity level of those with disordered eating attitudes and their dieting behavior. This study examines the female Emirati college students’ disordered eating attitudes and its relation to exercise behavior.Method: A cross- sectional study using a validated and reliable questionnaire was conducted on 242 Emirati female students attending a public university in Dubai. Eating Attitudes Test- 26 (EAT26) was used to measure eating attitudes and the short International Physical Activity Questionnaire (IPAQ) was included to measure physical activity level. A systematic random sampling from a list of classes in the fall 2014 semester was used for recruitment. The university’s Research Ethics Committee approved the study and consents were obtained from participants. SPSS v.21 was used for data analysis. Chi-square test was used to compare frequencies. Significance level was set at 0.05.Results: The participants’ mean age and standard deviation (Mean± SD) was 19 ±1.3 years. 31.4% of the participants showed disordered eating attitudes. The percentage of participants engaged in at least one concerning behavior in the past six months was 43.8%. A membership in a health club was significantly related to disordered eating attitudes (p <0.01). A high level of physical activity was correlated with laxative use, over the counter supplements, and exercising for more than 60 minutes to control weight (p<0.05). Conclusion: There is a great need for intervention programs and policies to contain the level of abnormal eating attitudes and promote healthy level of physical activity among college students.


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