scholarly journals OBSERVED EFFECTS OF BODY MASS INDEX ON BLOOD PRESSURE DIPPING PATTERN, IN A PRIVATE HOSPITAL IN ABUJA, NIGERIA

2021 ◽  
Vol 2 (2) ◽  
pp. 128-135
Author(s):  
O. C. Anya ◽  
O. Odugbemi ◽  
E. Okojie ◽  
R. Ayantayo ◽  
E. Ajayi

During a normal 24-hour ambulatory blood pressure monitoring (ABPM), there should be a more than 10% drop in average nighttime blood pressure (BP), compared to the average daytime BP. This is called the normal ABPM dipping pattern. Abnormal dipping patterns occur when the average night-time blood pressure drop is lower than 10%. A high body mass index has been described as a contributing factor for unusual ABPM dipping patterns, which predisposes an individual to a higher likelihood of developing cardiovascular disease. The goal of this research was to assess the link between the body mass index (BMI) and the dipping pattern during ABPM in the adult population who underwent ABPM at Cardiocare Abuja. Anthropometric data from 100 patients who had done ABPM were used, together with data obtained from the CONTEC ABPM50 device. The BMI was calculated with the weight and height, and they were grouped into weight classes using their BMI. The proportions of the various dipping patterns were then determined within each class. Majority of the participants involved in the study had BMI between 30-39 kg/m2. Those who presented with higher BMI classes were also discovered to have unusual dipping patterns, indicating a link with relation to the BMI and the ABPM dipping pattern. In the morbidly obese class, with BMI >40 kg/m2 there was a trend of the reverse dipping. It concluded that ABPM should be done routinely for persons with a high BMI for early detection of unusual dipping patterns and prompt intervention.

Author(s):  
Hesti Platini ◽  
Widia Hastuti ◽  
Andoko Andoko

Background: Hypertension or high blood pressure is still a high cause of death in the world. One factor in the occurrence of hypertension is poor nutritional status. Measurement of nutritional status is by knowing body mass index.Purpose: To describe the body mass index (BMI) values in patients with hypertension.Methods: Descriptive with cross sectional approach with consecutive sampling. The number of samples was 40 respondents. Data retrieval is measurement of blood pressure, height and weight. Data analyzed and made by frequencies and percentages.Results: The highest number of hypertension was in the age range of  60-74 years old and the highest gender in this research is women and hypertension in grade I with overweight body mass index values (35%), normal body mass index (62.5%).Conclusion: This study shows that hypertensive patients at Public Health Centre (Puskesmas Pasundan Garut) was show a high body mass index (BMI) value. By early detection to prevent of further severe complications and management of hypertension can be done to improve the quality of life.


2021 ◽  
Vol 8 (32) ◽  
pp. 3039-3042
Author(s):  
Lekshmi Raj Jalaja ◽  
Stuti Lohia ◽  
Priyadarsini Bentur ◽  
Ravi Ramgiri

‘Obesity’ is defined as a condition with excess body fat to the extent that health and well-being are adversely affected and uses a class system based on the body mass index (BMI), by the world health organization (WHO). Anaesthetic management of morbidly obese is challenging, as there is an increased risk of perioperative respiratory insufficiency and supplemental oxygen must be given throughout recovery period. The incidence of morbid obesity continues to grow and anaesthesiologists are exposed to obese patients presenting for various procedures. The prevalence of obesity is on the upward trend worldwide. Obesity is a multisystem disorder, involving the respiratory and cardiovascular systems, and therefore, undergoing a surgical procedure under anaesthesia may entail a considerable risk. Thus, a multidisciplinary approach is required in treating such patients. Quantification of the extent of obesity is done using the body mass index. BMI is defined as the relationship between weight and height (weight [kg] / height2 [m2 ]).


Elements ◽  
2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Sara Samir

Studies of stress and cortisol levels in adults indicate that keeping normal levels of cortisol is beneficial to subjects. The hormone cortisol has many functions including proper glucose metabolism, regulation of blood pressure, immune function, and inflammatory  response. When cortisol levels spike, as with stress, there can be a negative effect on the individual. Due to the hectic pace of modern life, the body’s stress response does not always have time to return to normal, leading to cortisol levels remaining too high. This can lead to suppressed thyroid function, blood sugar imbalances, higher blood pressure, lowered immunity, and increased abdominal fat. Stress plays a prominent role in the lives of millions of people all across the globe. This problem is not one that affects solely the adult population but also a multitude of adolescents and children. Oftentimes, stress can have both a physical and psychological effect on an individual. Many persons report an effect on food consumption when under stressful situations, causing one to either eat more or less than normal. In turn, these eating patterns can potentially influence the Body Mass Index (BMI) of an individual. While increased stress can lead to a higher or lower than normal cortisol level and BMI in adults, the role in adolescents is not entirely clear. This study investigated whether there is a relationship between stress and BMI in high-achieving adolescents, aged 14 to 18. The Perceived Stress Scale survey paired with additional questions that helped determine variables believed to impact stress levels were administered to determine overall stress levels in each subject. To determine cortisol levels, a competitive enzyme immunoassay was used.  This study indicates that there   are no significant correlations between perceived stress levels, salivary cortisol levels, and BMI in this group of individuals. However, a distinct difference in self-assessed stress levels was apparent between males and females. Somewhat unexpectedly, a negative relationship was found between BMI and salivary cortisol levels and perceived stress and salivary cortisol levels.


2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 194s-194s ◽  
Author(s):  
R. Carey ◽  
R. Norman ◽  
D. Whiteman ◽  
A. Reid ◽  
R. Neale ◽  
...  

Background: High body mass index (BMI > 25 kg/m2) has been found to be associated with an increased risk of many cancers, including cancers of the colon and rectum, liver, and pancreas. Aim: This study aimed to estimate the future burden of cancer resulting from current levels of overweight and obesity in Australia. Methods: The future excess fraction method was used to estimate the future burden of cancer among the proportion of the Australian adult population who were overweight or obese in 2016. Calculations were conducted for 13 cancer types, including cancers of the colon, rectum, kidney, and liver. Results: The cohort of 18.7 million adult Australians in 2016 will develop ∼7.6 million cancers over their lifetime. Of these, ∼402,500 cancers (5.3%) will be attributable to current levels of overweight and obese. The majority of these will be postmenopausal breast cancers (n = 72,300), kidney cancers (n = 59,200), and colon cancers (n = 55,100). More than a quarter of future endometrial cancers (30.3%) and esophageal adenocarcinomas (35.8%) will be attributable to high body mass index. Conclusion: A significant proportion of future cancers will result from current levels of high body mass index. Our estimates are not directly comparable to past estimates of the burden from overweight and obesity because they describe different quantities - future cancers in currently exposed vs current cancers due to past exposures. The results of this study provide us with relevant up-to-date information about how many cancers in Australia could be prevented.


2019 ◽  
Vol 47 (6) ◽  
pp. 2326-2341 ◽  
Author(s):  
Maria Irene Bellini ◽  
Filippo Paoletti ◽  
Paul Elliot Herbert

Obesity is associated with chronic metabolic conditions that directly and indirectly cause kidney parenchymal damage. A review of the literature was conducted to explore existing evidence of the relationship between obesity and chronic kidney disease as well as the role of bariatric surgery in improving access to kidney transplantation for patients with a high body mass index. The review showed no definitive evidence to support the use of a transplant eligibility cut-off parameter based solely on the body mass index. Moreover, in the pre-transplant scenario, the obesity paradox is associated with better patient survival among obese than non-obese patients, although promising results of bariatric surgery are emerging. However, until more information regarding improvement in outcomes for obese kidney transplant candidates is available, clinicians should focus on screening of the overall frailty condition of transplant candidates to ensure their eligibility and addition to the wait list.


Nephron ◽  
2016 ◽  
Vol 133 (3) ◽  
pp. 163-168 ◽  
Author(s):  
David Keane ◽  
Paul Chamney ◽  
Stefanie Heinke ◽  
Elizabeth Lindley

2021 ◽  
Vol 34 ◽  
Author(s):  
Miguel Angelo dos Santos DUARTE JUNIOR ◽  
Adroaldo Cezar Araujo GAYA ◽  
Vanilson Batista LEMES ◽  
Camila Felin FOCHESATTO ◽  
Caroline BRAND ◽  
...  

ABSTRACT Objective To verify the multivariate relationships between eating habits, cardiorespiratory fitness, body mass index, and cardiometabolic risk factors in children. Methods This is a cross-sectional study developed in a public elementary school with 60 first- to sixth-graders. Their eating habits were assessed using the Food Frequency Survey, weight, height, and cardiorespiratory fitness, assessed according to the Projeto Esporte Brasil protocol. Moreover, the variables, high-density lipoprotein, low-density lipoprotein, glucose, insulin, C-reactive protein, adiponectin, leptin, diastolic and systolic blood pressure were evaluated. Descriptive statistics were used for data analysis and generalized estimation equations were used for the analysis of direct and indirect relations, in a multivariate analysis model with several simultaneous outcomes. Results It appears that the eating habits and cardiorespiratory fitness explain 20% of the body mass index. Cardiometabolic risk factors are explained by the relationship between eating habits, cardiorespiratory fitness, and body mass index, according to the following percentages: 29% (systolic blood pressure), 18% (diastolic blood pressure), 63% (leptin), 4% (adiponectin), 14% (C-reactive protein), 17% (insulin), 10% (high-density lipoprotein), 1% (low-density lipoprotein), 4% (glucose). It is also observed that the effects of the eating habits on cardiometabolic risk factors are indirect, that is, they are dependent on changes in the body mass index and cardiorespiratory fitness levels. Conclusions The relationship between eating habits and cardiometabolic risk factors in children is dependent on cardiorespiratory fitness and body mass index. Thus, our findings suggest a multivariate relationship between these factors.


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