scholarly journals The relationship between physical activity and food intake

1998 ◽  
Vol 57 (01) ◽  
pp. 77-84 ◽  
Author(s):  
Nail A. King
2018 ◽  
Vol 16 (1) ◽  
pp. 44-58
Author(s):  
Maria Sambriong

Diabetes mellitus (DM) is a serious threat to health development and ranked 6th as a cause of death. About 1.3 million people die from diabetes and 4% die before age 70 (Infodatin, 2014). In the province of East Nusa Tenggara, this disease ranks 19th has increased to 3 times compared to 2007. Cases of diabetes mellitus in the city of Kupang vary greatly in each age group wherein 2014 the proportion of the highest cases was at age 65-75 years totaling 780 people (Kupang City Health Profile, 2014). High energy intake from pure carbohydrates will stimulate insulin secretion by pancreatic beta cells as compensation to increase blood sugar levels. At a certain level, compensation efforts will not be able to compensate for insulin resistance so insulin insufficiency will arise with glucose intolerance (Waspadji et al., 2003). Polikandrioti and Dokoutsidou (2009), said obesity and lack of physical activity are also directly closely related to insulin resistance as is the characteristic of type 2 diabetes mellitus. This study was to analyze the relationship between risky food intake and physical activity with the incidence of type 2 diabetes mellitus. observational study with a case-control design. The population is 52,965 people living in the city of Kupang. The total number of samples was 234 people who met the inclusion criteria, consisting of 117 cases of type 2 diabetes and control group of 117 people who did not have type 2 diabetes mellitus taken in 2 stages: the first stage was to determine the cluster of research areas, and second consecutive sampling was taken. The measuring instrument used is the questionnaire International Physical Activity Activity Test (IPAQ), format Food Recall 24 hours and semi Quantitative Food Frequency Questioner (FFQ), Food Model, Waist ruler/tape measure. Data were analyzed using a Chi-Square test to see the relationship between; food intake is at risk with visceral obesity, visceral obesity with type 2 diabetes mellitus, food intake at risk with type 2 diabetes mellitus. To see the relationship between body activity with visceral obesity and body activity with the incidence of type 2 diabetes mellitus using Pearson Chi-Square. The results of an analysis of the bivariate energy intake test for the incidence of type 2 diabetes mellitus, had an OR of 2.543 with 95% CI = 1.4-4.3 and (p-value 0.001). Fat intake for type 2 diabetes mellitus has an OR of 1.530 with 95% CI = 0.9-2.5 and (p-value 0.142). Fiber intake for type 2 diabetes mellitus has OR 0.760 with 95% CI = 0.4-1.2 and (p-value 0.370). Visceral obesity in the incidence of type 2 diabetes mellitus has an OR 2.510 with 95% CI = 1.4-4.2 and (p-value 0.001). Energy intake for the incidence of visceral obesity has OR 28,292 with 95% CI = 13,3-59,8 and (p-value 0,000). Fat intake for the incidence of visceral obesity had OR 23.435 with 95% CI 11.4-47, 8 and (p-value 0.000). Fiber intake on the incidence of visceral obesity has OR 4.959 with 95% CI = 2.7-8.8) and (p-value 0,000). In the case group, the results of statistical tests of activity on visceral obesity found a p-value of 0.246 which means that physical activity was not associated with the incidence of visceral obesity. While the control group statistical test results obtained p-value 0.000 means that there is a relationship between physical activity and the incidence of type 2 diabetes mellitus.


2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Ajeng Arumsari Yayi Pramesti

Most of the mothers are very attentitve to changes in body composition, especially postpartum weight loss. One of the factors believed to facilitate the weight loss and body fat loss in postpartum mothers is breastfeeding. Factor that affect the relationship between breastfeeding with maternal postpartum body composition are food intake and physical activity. The aim of this study is to analyze the change in body composition between the mother who give exclusive breastfeeding for 6 months and the mother who don’t and also attempts to analyze the effect of breastfeeding duration to the change in body composition and the factor affecting it.This study used the panel study with longitudinal approach. 32 respondents observed for 6 months. Fat mass measurement data are collected using skinfold caliper and breastfeeding status, food intake and physical actiuvity data are collected using interview. The relationship between breastfeeding with the change in body composition is analyzed using t-test analysis. T-test analysis are also used to test the effect of food intake and physical activity to breastfeeding. Regression analysis are used to analyze the effect of food intake and physical activity to body composition.According to the result of statistical analysis, there is no significance effect of breastfeeding for 6 months to the change in maternal postpartum body composition (fat mass and free fat mass) (p = 0.743; p = 0.771) and also no significance effect of food intake and physical activity to the relation between breastfeeding with the change in body composition. There is a significance effect of breastfeeding for 4 months to the change in the body composition (p = 0.046). The average fat mass change in mother who give exclusive breastfeed is higher than the one who don’t.From 32 respondents in this study, only 4 mothers can successfully give exclusive breastfeed for 6 months. The average fat mass change in mother who give exclusive breastfeed is higher than the one who don’t. There is no significance effect of breastfeeding for 6 months to the change in maternal postpartum body composition (fat mass and free fat mass). There is a significance effect of breastfeeding for 4 months to the change in maternal postpartum body composition.Keywords: Breastfeeding, body composition, maternal postpartum


2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Vianty Aldofin Tomasoa ◽  
Dary Dary ◽  
Dennys Christovel Dese

Abstract Health problems in children, especially in terms of nutrition, are still a problem in Indonesia such as underweight and overweight, which are caused by physical activity, and vice versa, nutritional status affects children's physical activity. Nutritional status and physical activity play an important role in achieving good physical fitness, especially for school age children. Only 1 in 3 children who are active in physical activity every day. The purpose of this study was to determine the relationship between food intake, physical activity and nutritional status in school age children. This research uses a correlational quantitative approach. Respondents who were the subjects in this study were students in grades 3-6 at SDN 2 Saparua, totaling 120 students. The number of samples used in this study was determined using the Taro Yamane or Slovin formula which resulted in 93 students. The research instruments used in this study were a 2x24 hour food recall questionnaire, anthropometric examination, physical activity questionnaire of children (PAQ-C) for physical activity and nutritional status determined using BMI / U. The research data were processed using bivariate analysis with the help of statistical products and solutions (SPSS). Correlation analysis using Pearson. The results of hypothesis testing on food intake and physical activity with a statistical value of R = 0.652; R Square = 0.425. This means that the variables of food intake and physical activity simultaneously play a role in the nutritional status of the individual by 42.5%, while the remaining 57.5% is influenced by other factors that are not disclosed in this study. The better the score of physical activity and food intake, the better the nutritional status of the child.Keywords: food intake, physical activity, nutritional status 


2020 ◽  
Vol 27 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Markus Gerber ◽  
René Schilling ◽  
Flora Colledge ◽  
Sebastian Ludyga ◽  
Uwe Pühse ◽  
...  

1994 ◽  
Vol 72 (01) ◽  
pp. 058-064 ◽  
Author(s):  
Goya Wannamethee ◽  
A Gerald Shaper

SummaryThe relationship between haematocrit and cardiovascular risk factors, particularly blood pressure and blood lipids, has been examined in detail in a large prospective study of 7735 middle-aged men drawn from general practices in 24 British towns. The analyses are restricted to the 5494 men free of any evidence of ischaemic heart disease at screening.Smoking, body mass index, physical activity, alcohol intake and lung function (FEV1) were factors strongly associated with haematocrit levels independent of each other. Age showed a significant but small independent association with haematocrit. Non-manual workers had slightly higher haematocrit levels than manual workers; this difference increased considerably and became significant after adjustment for the other risk factors. Diabetics showed significantly lower levels of haematocrit than non-diabetics. In the univariate analysis, haematocrit was significantly associated with total serum protein (r = 0*18), cholesterol (r = 0.16), triglyceride (r = 0.15), diastolic blood pressure (r = 0.17) and heart rate (r = 0.14); all at p <0.0001. A weaker but significant association was seen with systolic blood pressure (r = 0.09, p <0.001). These relationships remained significant even after adjustment for age, smoking, body mass index, physical activity, alcohol intake, lung function, presence of diabetes, social class and for each of the other biological variables; the relationship with systolic blood pressure was considerably weakened. No association was seen with blood glucose and HDL-cholesterol. This study has shown significant associations between several lifestyle characteristics and the haematocrit and supports the findings of a significant relationship between the haematocrit and blood lipids and blood pressure. It emphasises the role of the haematocrit in assessing the risk of ischaemic heart disease and stroke in individuals, and the need to take haematocrit levels into account in determining the importance of other cardiovascular risk factors.


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