Postprandial Metabolic Responses Differ by Age Group and Physical Activity Level

2018 ◽  
Vol 22 (1) ◽  
pp. 145-153 ◽  
Author(s):  
Sam R. Emerson ◽  
S. P. Kurti ◽  
E. M. Emerson ◽  
B. J. Cull ◽  
K. Casey ◽  
...  
Author(s):  
Raesa Andrade da Silva ◽  
Glaudson Sá Brandão ◽  
Anderson Soares Silva ◽  
Jessica Julioti Urbano ◽  
Ezequiel Fernandes de Oliveira ◽  
...  

Introduction: Low levels of physical activity and functional mobility lead to greater difficulty in performing activities of daily living and are directly proportional to mortality in the elderly. Thus, there are the need to create mechanisms linked to the maintenance of the functional capacity, which assure the elderly autonomy and self-confidence. Objective: To verify the level of physical activity and functional mobility in the elderly and if this functional mobility suffers interference of the age group and physical activity. Methods: The study involved the elderly aged 60 and over, living in Senhor do Bonfim (BA), in the northeastern region of Brazil, from February to July 2015. The evaluation of the subjects occurred in a single session, with physical and general clinical evaluation, as well as the collection of sociodemographic, anthropometric and self-reported morbidities through the application of questionnaires. It was also carried out the Timed Up and Go test (TUG) to verify the levels of functional mobility and level of physical activity with application of the International Questionnaire of Physical Activity (IPAQ) adapted for the elderly. Results: In this study, 127 patients were studied, predominantly female (87%) and mean age of 68 ± 7 years, and the majority of the elderly corresponded to the age group of 60 to 69 years. The elderly belonging to the group considered inactive (IPAQ up to 150 min/weekly) presented the execution time of TUG higher than the elderly in the group considered active (IPAQ > 150 min/weekly), with averaging time for carrying out the test of 10.5±2 minutes and 8.9±2 minutes respectively, with a statistically significant difference of p<0.01. And the execution time of TUG increased proportionally to the increase of the age group. Conclusion: Elderly with lower level of physical activity and belonging to the higher age groups present a higher risk of falls. Strategies should be developed to stimulate increased physical activity level and functional mobility of this population, especially among the older ones, reducing the incidence of falls and providing greater autonomy.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Nicholas Koemel ◽  
Christina Sciarillo ◽  
Patrick Tomko ◽  
Katherine Bode ◽  
Nathaniel Jenkins ◽  
...  

Abstract Objectives Large metabolic responses to high-fat meals (HFM) are known to create a deleterious physiological state. However, there is limited research describing the differential influences of age and physical activity level on meal metabolism, specifically in healthy older individuals. The goal of this project is to quantify the impact of age and physical activity on metabolic outcomes immediately following meal consumption in healthy men and women. Methods We recruited 4 groups of individuals: younger active (YA; age 22.3 ± 1.5 y; n = 7), younger inactive (YI; age 22.6 ± 4.0 y; n = 7), older active (OA; age 70.5 ± 7.8 y; n = 6), and older inactive (OI; age 69.6 ± 7.6 y; n = 5). Following a 10-hour overnight fast, an intravenous catheter was inserted into a forearm vein from which a fasting blood draw was taken. Participants then consumed a HFM (12 kcal/kg; 63% fat, 34% carbohydrate). Serial blood draws were conducted hourly for 6 hours to measure postprandial triglyceride (TG) and glucose (GLU) responses. Prior to the HFM, participants refrained from exercise for 48 hours to remove the confounding effects of recent acute exercise. One-way or two-way ANOVA was used, as appropriate, to compare groups with regard to postprandial metabolic outcomes. Results Groups were similar with regard to fasting GLU (P = 0.77) and TG (P = 0.06). There was a time effect for both GLU and TG in the postprandial period (P < 0.0001). A group effect was present for TG (P = 0.048), but not GLU (P = 0.07). There were no significant group differences in TG in post hoc comparisons (YA vs. YI, P = 0.41; YA vs. OA, P > 0.99; YA vs. OI, P = 0.08; YI vs. OA, P = 0.42; YI vs. OI, P = 0.67; OA vs. OI, P = 0.08). Total area under the curve (AUC) for TG was significantly different across groups (P = 0.0498; YA = 618.8 ± 103.1 mg/dL x 6 hr, YI = 836.4 ± 402.6, OA = 609.0 ± 234.6, OI = 993.4 ± 80.9), but incremental AUC was not different (P = 0.18). Groups did not differ with regard to GLU total (P = 0.07) or incremental AUC (P = 0.26). Peak TG (P = 0.38) and GLU (P = 0.18) responses did not differ across groups. Conclusions In this ongoing experiment, we are observing group differences in postprandial TG based on age and physical activity level. When complete, this study will highlight the independent effects of aging and physical activity on postprandial metabolic responses, which are integral components in CVD risk. Funding Sources Oklahoma State University.


Author(s):  
M. S. Praythiesh Bruce ◽  
M. C. Vasantha Mallika

Background: Insufficient physical activity is one of the ten leading risk factors for death among patients with Non- Communicable Diseases (NCDs) such as cardiovascular diseases, cancer, and diabetes mellitus worldwide. Globally, one in four adults is not physically active. More than 80% of the world's adolescent population is insufficiently physically active. Physical inactivity is very common in India with a prevalence of 54.4%. Lack of knowledge regarding physical activity leads to non-communicable diseases (NCDs) such as cardiovascular diseases, cancer, and diabetes which in turn can lead to death and disability.Methods: The cross sectional study was conducted on patients diagnosed to be diabetic visiting the Out Patient Department of Rural Health Centre Marappadi. Convenient sampling was used and the study was conducted from January 2017 to June 2018 using a pre-tested, semi-structured questionnaire.Results: The mean age of the patients was 57.00±8.747 years. Patients aged 60 years and above had a lower physical activity level. In the older age group, low physical activity was associated with obesity. Adequate motivation was found to be reason for high physical activity level in patients (60.0%).Conclusions: The physical activity levels of the diabetic patients were unsatisfactory especially in the elderly. Low physical activity was associated with poor glycaemic control in the older age group. There is a need to encourage diabetic patients to undertake regular physical activity in order to achieve good health and well-being, optimal glycaemic control and to prevent diabetic complications.


2017 ◽  
Vol 3 (4) ◽  
pp. 174
Author(s):  
Aslan Aydoğan ◽  
Cevdet Tınazcı

AbstractThis study was aimed to investigate the effect of regular physical activity level on quality of life. The sample of the study included 363 personnel working at Near East University during May-June 2015. Data of the study were collected with “Demographic Information Form”, “Short form of International Physical Activity Evaluation Survey” and “Quality of Life Scale SF-36”. Data were analyzed with SPSS package program. Percentage, frequency and chi-square values were calculated and manova, anova and post hoc tests were applied for data analysis in order to determine if there is a significant difference between the variables. According to the results, it was revealed that males are more active than females. It was also figured out that married academic personnels are more active than single academic personnels; single administrative personnels are more active than married administrative personnels. When the quality of lives of academic and administrative personnels are compared, the significant difference in social and mental dimensions was observed in the favor of administrative personnel.When physical activity levels of academic and administrative personnels considered based on their age group; it was found that the most active personnels are 30 and under the age of 30 in both two groups.When quality of life levels of university personnel are considered based on age group; it was revealed that there was a significant difference in social and mental dimensions for 31 and above age group when compared to 30 and below age group.As a result of this research, it was figured out that physical activity levels of males when compared to females and physical activity levels of married participants when compared to single participants are higher. In terms of quality of life, it was revealed that administrative personnel are more healty in social and mental dimensions when compared to academic personnel. When physical activity levels based on age group are considered, the most active participants were 30 and above the age of 30 in both groups. When quality of life of university personnels are compared based on age group, it was revealed that 31 and above age group has higher levels of quality of life in social and mental dimensions when comapred to 30 and below age group. Keywords: Physical activity, university personnel, quality of life.


1997 ◽  
Vol 13 (3) ◽  
pp. 195-205 ◽  
Author(s):  
Marit Sorensen

Adherence to lifestyle changes - beginning to exercise, for example - is assumed to be mediated by self-referent thoughts. This paper describes a pilot study and three studies conducted to develop and validate a questionnaire for adults to determine their self-perceptions related to health-oriented exercise. The pilot study identified items pertinent to the domains considered important in this context, and began the process of selecting items. Study 2 examined the factor structure, reduced the number of items, determined the internal consistency of the factors, and explored the discriminative validity of the questionnaire as to physical activity level and gender. Four factors with a total of 24 items were accepted, measuring mastery of exercise, body perception, social comfort/discomfort in the exercise setting, and perception of fitness. All subscales had acceptable internal consistencies. Preliminary validity was demonstrated by confirming hypothesized differences in scores as to gender, age, and physical activity level. The third study examined and demonstrated convergent validity with similar existing subscales. The fourth study examined an English-language version of the questionnaire, confirming the existence of the factors and providing preliminary psychometric evidence of the viability of the questionnaire.


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