Body Mass Index as the Risk Factor Affecting Knee Osteoarthritis of the Elderly

2021 ◽  
Vol 107 (3) ◽  
Author(s):  
Jordan Sugiarto ◽  
Su Djie To Rante
2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Yuriza Agustiningrum ◽  
Nur Lathifah Mardiyanti

Abstract: Elderly, Hypertension, Body Mass Index, Waist Circumference and Hip. The problem of hypertension is one of the most common diseases in elderly people. Risk factors that can cause hypertension are obesity and central obesity. That is caused by the lack of appropriateness of eating intake with activity in the elderly are declining. So there is a possibility of normal BMI and RLPP will reduce the risk of hypertension. This study aims to determine IMT and RLPP measurements as a predictor of hypertension. This type of research is observational with cross-sectional design and the number of research subjects is 71 elderly who suffer from hypertension and not hypertension. Sampling using total sampling method. Data analysis was done by univariate and bivariate analysis using chi-square test and logistic regression test. The result of statistic test showed that there was a correlation between body mass index with hypertension 0,002 (p <0,002) and BMI was risk factor proved by RR 2,228 (CI 1,3333,723). There is a relationship between RLPP with hypertension 0.000 (p <0.000) and RLPP is hypertension risk factor with RR value 4,340 (CI 1,896-9,933). The result of BMT logistic regression test is not a predictor of hypertension, but RLPP is a predictor to determine hypertension with the formula Y = -3,614 + 2,285X1. It is advisable for the elderly to maintain normal RLPP in order to reduce the risk of hypertension.


2019 ◽  
Vol 2 (1) ◽  
pp. 9-13
Author(s):  
C G Oguzie ◽  
O A Lasebikan ◽  
C J Onyempka ◽  
D C Chukwumam ◽  
V C Asodike ◽  
...  

It is well established that obesity is related to osteoarthritis of the knees. The aim of this study was to investigate the risk of knee osteoarthritis in relation to body mass index (BMI) and specifically, to assess the risk of knee osteoarthritis (OA) attributable to obesity. We also aimed to determine if there is a higher risk with an increase in BMI. This is an observational case-referent study of patients with knee pain. Patients were recruited from the orthopaedics clinic. The cases were patients that presented with radiologically diagnosed knee osteoarthritis, while the referents were other patients that also attended the orthopedic clinic at the same time. The referents were randomly selected. Body Mass Index was calculated and classified based on the WHO international classification. Data were analyzed using SPSS version 21. A total of 152 patients were included in the study and 67.1% were females while 32.9% were males giving a ratio of 2:1. The mean age was 57.72+/-12.5 years, the mean weight was 79.47+/- 13.41kg (95% CI 77.32 – 81.62) and the mean BMI was 27.80+/-6.2kg/m2. 56.6% had knee osteoarthritis. 8.6% (n = 13) were bilateral, 18.4% (n = 28) in the left knee and 29.6% (n = 45) in the right knee. The relationship between obesity and the presence of knee osteoarthritis was statistically significant (p 0.047). A Chi-squared test for trend also did not show an increased risk for knee osteoarthritis with increasing BMI (p 0.105). In conclusion, knee osteoarthritis is a degenerative joint disease that mostly affects the elderly. Our findings give strong support to the already existing knowledge of the positive relationship between obesity and knee osteoarthritis; however, increasing BMI did not increase the risk of knee OA.


2018 ◽  
Vol 69 (7) ◽  
pp. 1842-1845
Author(s):  
Lavinia Stelea ◽  
Izabella Petre ◽  
Marius Craina ◽  
Brigitha Vlaicu ◽  
Alina Sisu ◽  
...  

The aim of this study was to determine if body mass can be considered a risk factor for infertility, and if we can find any correlations between the age values and the FSH and estradiol values, and between the BMI values and the FSH and estradiol values. Our whole sample contains 100 patients splinted in two groups (pregnant patients N1=57 subjects, 57%, and not � pregnant patients N1=43 subjects,43%). In the first part we conducted our analysis on the whole group and after that we focused the analysis on the two groups and we made some comparisons between the groups. We obtained a medium, extremely significant correlation in all scenarios between the age and the FSH values. This is the best association from all the cases which we tested. In all twelve cases we have a positive correlation (r ] 0). As well, we obtained that a BMI value higher than 25can be considered a risk factor for obtaining a pregnancy (p[0.05, RR ] 1, OR]1) . Our study shows that women who have weight problems have much less chances of conceiving a baby, even if they ovulate normally. The risk of infertility increases proportionally to the extra pounds. Irregular ovulation in women is the most common fertility disorder due to obesity disease.


Author(s):  
Ana P. Sehn ◽  
Anelise R. Gaya ◽  
Caroline Brand ◽  
Arieli F. Dias ◽  
Roya Kelishadi ◽  
...  

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.


2010 ◽  
Vol 152A (11) ◽  
pp. 2895-2897 ◽  
Author(s):  
Sheree L. Boulet ◽  
Sonja A. Rasmussen ◽  
Margaret A. Honein

2011 ◽  
Vol 71 (5) ◽  
pp. 655-660 ◽  
Author(s):  
Andrew K Wills ◽  
Stephanie Black ◽  
Rachel Cooper ◽  
Russell J Coppack ◽  
Rebecca Hardy ◽  
...  

IntroductionThe authors examined how body mass index (BMI) across life is linked to the risk of midlife knee osteoarthritis (OA), testing whether prolonged exposure to high BMI or high BMI at a particular period has the greatest influence on the risk of knee OA.MethodsA population-based British birth cohort of 3035 men and women underwent clinical examination for knee OA at age 53 years.Heights and weights were measured 10 times from 2 to 53 years. Analyses were stratified by gender and adjusted for occupation and activity levels.ResultsThe prevalence of knee OA was higher in women than in men (12.9% (n=194) vs 7.4% (n=108)). In men, the association between BMI and later knee OA was evident at 20 years (p=0.038) and remained until 53 years (OR per z-score 1.38 (95% CI 1.11 to 1.71)). In women, there was evidence for an association at 15 years (p=0.003); at 53 years, the OR was 1.89 (95% CI 1.59 to 2.24) per z-score increase in BMI. Changes in BMI from childhood in women and from adolescence in men were also positively associated with knee OA. A structured modelling approach to disentange the way in which BMI is linked to knee OA suggested that prolonged exposure to high BMI throughout adulthood carried the highest risk and that there was no additional risk conferred from adolescence once adult BMI had been accounted for.ConclusionThis study suggests that the risk of knee OA accumulates from exposure to a high BMI through adulthood.


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