scholarly journals Correlation of body mass index on waist circumference and blood pressure

2020 ◽  
Vol 9 (4) ◽  
pp. 373
Author(s):  
Yoni Astuti ◽  
Ikhlas Muhammad Jenie

The increasing number of elderly on these recent days demands an improved quality of health for the elderly. Independence of the elderly is important in order to be happy and not to be a burden on their families. Health monitoring continuously is an effort to prevent disruption on the health conditions of the elderly. The health status of elderly people is important to know to follow up on prevention programs for the emergence of certain diseases in the elderly. This study aims to look for potential health problems for elderly people in Gamping, Sleman, DIY, Indonesia. The method of this research was cross sectional analysis using secondary data. Sample collection is consecutive subjects. Subjects were 158 people with a mean age of men (67.8 ± 7.1) years while women were 67.5 ± 7.3 years. The data was analyzed using the bivariate correlation test with CI 99%. The results of the analysis showed that the average body mass index with an average waist circumference was positively correlated (r= 0.66; p: 0.000), but did not correlate with systole pressure (r= -0.009; p= 0.97) diastole (r= 0.093; p= 0.477), age (-0.05; p= 0.71), and gender (r= -0.146; p= 0. 27). The potential health problems among the elderly is the risk of high BMI due to the larger waist circumference

2021 ◽  
Vol 39 (1) ◽  
pp. 14-20
Author(s):  
Md Nasirul Haque Khan ◽  
Md Iqbal Kabir ◽  
Fatema Zerin Khan

Background: Aging is universal and it is inescapable. Health problems of elderly people are a global emerging issue. Body mass index (BMI) is a test often used to help medical professiona ls to assess nutritional status along with overall fitness and risk for disease in elderly. This study was conducted to assess  the  BMI  and  common  geriatric health problems among elderly retired armed forces personnel. Methods: This cross-sectional study was conducted among purposively selected 226 elderly retired armed forces personnel in both outpatient and inpatient departments of the Combined Military Hospital (CMH), Dhaka Cantonment from July 2018 to Jun e 2019. The study aimed to assess the association between BMI and common geriatric health problems. A questionnaire comprising of all the variables of interest were developed and used for data collection by face to face interview. Data were also collected by physical measurement and reviewing medical documents of the participants. Results: Among the participants, majority (32.3%) had BMI c:25, 31 .9 % had 23-24.9, 30. 1 % had 18.5-22.9 and 5.8% had <18 .5 BMl group. Average number of morbidities perparticipant was 2.59. Out of all , 20.5% had hypertension, 13. 7% had heart disease , 13.1 % had diabetes, 1 2.5% had respiratory disease, 8.4% had dental disease, 7.5% had cataract, 7.5% had  prostate enlargement,  5.8%  had cancer, 5.6%  hadarthritis and  5.5%  hadear disease.  Association of BMI of participants with hypertensi on, heart disease was found statistically significant (p<0.05). No significant association was found with diabetes and respiratory disease ( p<0.05). Conclusion: Nutritional status of the elderly should be emphasized for prevention and control of health problems in retired armed forces elderly; for that BMl could be crucial indicator. JOPSOM 2020; 39(1): 14-20


Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 996
Author(s):  
Veronica Davila-Batista ◽  
Antonio J. Molina ◽  
Tania Fernández-Villa ◽  
Dora Romaguera ◽  
Beatriz Pérez-Gómez ◽  
...  

Backgound: Traditional anthropometrics such as body mass index (BMI) or waist circumference (WC) do not fully capture the complex biology of body fat (BF) in the elderly. The Clinica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) index, based on BMI, is proposed as a better indicator of BF. However, its relation with BMI is not clear. The aim was to compare the agreement between CUN-BAE, BMI, and WC in those aged ≥50 years. Methods: A cross-sectional sample of 3153 Caucasian healthy adults was taken from the MCC-Spain study. The Pearson’s correlation and its 95% confidence interval (CI), adiposity distribution, and Kappa Index (95%CI) were calculated. Results: The correlation of CUN-BAE with WC is 0.18 (95%CI 0.14–0.21) and that with BMI is moderate (r 0.58; 95%CI 0.55–0.60), but both increased strongly by sex. Agreement (normal weight/overweight/obesity) of CUN-BAE with BMI is 7% and with WC is 18%. Conclusions: The correlation and the degree of agreement of CUN-BAE with BMI and WC are low in individuals aged over 50, but it is higher by sex. Thus, this different criterion of obesity may have clinical applications. More studies with a gold standard are needed to evaluate the CUN-BAE in elderly adults.


Author(s):  
Matthew Hobbs ◽  
Stuart J.H. Biddle ◽  
Andrew P. Kingsnorth ◽  
Lukas Marek ◽  
Melanie Tomintz ◽  
...  

Background: This study investigates the association between television (TV) viewing and child adiposity and if parental education and child ethnicity moderate this association. Method: Cross-sectional, pooled (2013/2014–2016/2017) adult and child New Zealand Health Survey were matched resulting in 13,039 children (2–14 y) and parent dyads. Child TV viewing was estimated using self-reported time for each weekday and weekend. The height (in centimeters), weight (in kilograms), and waist circumference of parents and children were measured. Childhood body mass index and obesity were defined using the International Obesity Task Force cutoff values. Effect modification was assessed by interaction and then by stratifying regression analyses by parent education (low, moderate, and high) and child ethnicity (Asian, European/other, Māori, and Pacific). Results: Overall, watching ≥2 hours TV on average per day in the past week, relative to <2 hours TV viewing, was associated with a higher odds of obesity (adjusted odds ratio = 1.291 [1.108–1.538]), higher body mass index z score (b = 0.123 [0.061–0.187]), and higher waist circumference (b = 0.546 [0.001–1.092]). Interactions considering this association by child ethnicity and parent education revealed little evidence of effect modification. Conclusion: While TV viewing was associated with child adiposity, the authors found little support for a moderating role of parental education and child ethnicity.


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e039197
Author(s):  
Stella Muthuri ◽  
Rachel Cooper ◽  
Diana Kuh ◽  
Rebecca Hardy

ObjectivesTo investigate whether cross-sectional and longitudinal associations of body mass index (BMI) and waist circumference (WC) with back pain change with age and extend into later life.DesignBritish birth cohort study.SettingEngland, Scotland and Wales.ParticipantsUp to 3426 men and women from the MRC National Survey of Health and Development.Primary outcome measuresBack pain (sciatica, lumbago or recurring/severe backache all or most of the time) was self-reported during nurse interviews at ages 36, 43, 53 and 60–64 years and in a postal questionnaire using a body manikin at age 68.ResultsFindings from mixed-effects logistic regression models indicated that higher BMI was consistently associated with increased odds of back pain across adulthood. Sex-adjusted ORs of back pain per 1 SD increase in BMI were: 1.13 (95% CI: 1.01 to 1.26), 1.11 (95% CI: 1.00 to 1.23), 1.17 (95% CI: 1.05 to 1.30), 1.31 (95% CI: 1.15 to 1.48) and 1.08 (95% CI: 0.95 to 1.24) at ages 36, 43, 53, 60–64 and 68–69, respectively. Similar patterns of associations were observed for WC. These associations were maintained when potential confounders, including education, occupational class, height, cigarette smoking status, physical activity and symptoms of anxiety and depression were accounted for. BMI showed stronger associations than WC in models including both measures.ConclusionsThese findings demonstrate that higher BMI is a persistent risk factor for back pain across adulthood. This highlights the potential lifelong consequences on back pain of the rising prevalence of obesity within the population.


Author(s):  
Martin Zvonar ◽  
Mario Kasović ◽  
Lovro Štefan

Background. The main purpose of this study was to explore the body-mass index and waist circumference associated with physical fitness by gender. Methods. In this cross-sectional study, we included 1036 adolescents (55.4% girls) from eight randomly selected secondary schools within the city of Zagreb (Croatia). Body-mass index and waist circumference were objectively measured. Physical fitness included three tests: (1) 1 min sit-ups, (2) standing long jump and (3) a sit-and-reach test. Associations were calculated using linear regression models. Results. Boys had higher body-mass index and waist circumference values, compared to girls (p < 0.001). They also performed better in 1 min sit-ups and the standing long jump tests (p < 0.001), while girls obtained higher values in the sit-and-reach test (p < 0.001). In boys, body-mass index and waist circumference were associated with 1 min sit-ups and the standing long jump. In girls, waist circumference was also associated with 1 min sit-ups and the standing long jump, while body-mass index was only associated with this standing long jump. Conclusions. Our study shows that anthropometric indices have non-linear associations with physical fitness tests in a large sample of Croatian adolescents. Screening for thinness and obesity to predict the level of physical fitness should be of a great interest.


2017 ◽  
Vol 20 (2) ◽  
pp. 214-224 ◽  
Author(s):  
Gislaine Cristina Vagetti ◽  
Valdomiro de Oliveira ◽  
Michael Pereira Silva ◽  
Ana Beatriz Pacífico ◽  
Tiago Rocha Alves Costa ◽  
...  

Abstract Objective: to investigate the association between body mass index (BMI) and functional fitness levels linked to the Elderly in Movement Program of the city of Curitiba, in the state of Paraná, Brazil. Methods: The study is characterized as correlational and cross-sectional. The sample consisted of 1,806 elderly female participants of the Elderly in Movement Program. The short version of the IPAQ was used to evaluate participation in physical activities; body weight (kg) and height (m) were measured to calculate BMI (kg/m²), while the motor tests proposed in the Senior Fitness Test were used to evaluate the functional fitness of the elderly women. Descriptive statistics, the chi-squared test and binary logistic regression were used for data analysis. Results: The results showed that 24.0% of the sample exhibited eutrophic nutritional status, 42.9% were overweight and 33.1% were obese. The elderly women classified as overweight and obese had lower functional fitness scores, based on the rating of Rikli and Jones, while the elderly women classified as eutrophic exhibited levels within the normal range. Obese elderly women were more likely to have low scores in the following functional fitness tests: Walk for 6 minutes, Chair Stand, Chair Sit and Reach, Back Scratch and 8-Foot Up and Go. Conclusion: The study indicated an association between, BMI and functional fitness in the elderly women participating in the program, where the majority of elderly women classified as obese exhibited low fitness in all tests.


2017 ◽  
Vol 30 (2) ◽  
pp. 67-76 ◽  
Author(s):  
Jorge Mario Rodríguez-Fernández ◽  
Emily Danies ◽  
José Martínez-Ortega ◽  
William C. Chen

Objective: The aim of this study was to explore the association of body mass index (BMI), waist circumference (WC), and BMI and WC changes over time with cognitive decline in a nationally representative sample. Methods: A total of 5239 participants (≥65 years) were followed for 3 years as part of the National Health and Aging Trends Study. Cox proportional hazard regression was applied to model the risk of cognitive decline. Results: BMI, after adjusting for WC and main confounders, was associated with reduced risk of cognitive decline (hazard ratio [HR] 0.97 for each unit BMI increase, 0.95-0.99). After stratifying by gender and age, this effect remained significant among females and young elders ≤80 years. A BMI decrease and WC increase >10% over the study period were associated with increased risk of cognitive decline (HR 1.98, 1.16-3.38; HR 1.30, 1.04-1.62, respectively). Conclusion: In the elderly individuals, lean mass, as measured by BMI adjusted for WC, was associated with reduced risk of cognitive decline. Loss of lean mass and gain of fat mass, as measured by WC adjusted for BMI, were associated with elevated risk of cognitive decline.


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