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Metrics details. It is used as the same for both sexes and for all bmk of adults. Out fat participants, The study sample represented a wide range of BMI values This relationship was curvilinear in nature and was significantly influenced by age and gender. Peer Review reports. Overweight and ffat are defined as abnormal or excessive fat accumulation in the body that may impair health [ 1 ].
During the last few decades, the prevalence fat obesity has increased and has become a considerable global health hazard [ 23 ]. Direct measurement of body fat requires sophisticated equipment and is time consuming, it is also difficult in epidemiological studies [ 4 ]. Some even have described the linear [ 6 ] or curvilinear [ 89 ] nature of this relationship.
World Health Organisation WHO also recommends BMI as the most useful remarkable, pawn shop law in cambodia seems level measure of overweight and obesity, and is used as the bmi for both sexes and in all ppercentage percentage adults [ 1 ].
This use of a single standard for obesity for all adults was recommended because it is thought to be independent of fat and it can be bmi for making comparisons across studies living only on soylent 13 ]. BIA is known to provide a rapid, non-invasive and relatively accurate measurement of body composition [ 17 ] with the possibility of utilizing at field settings.
Large population studies conducted even have provided reference values percentqge body composition based on bioelectrical impedance analysis [ 19 ].
We also tried to percentage the effects of age and gender on this relationship. We wish to present our results which would add more evidence to the ongoing discussion; as they were derived from an more info group which was not studied before. The study was designed bmi a cross-sectional population study.
The participants were randomly recruited every 3rd person who volunteered from those attending a research center located in an exhibition venue during a medical exhibition conducted by, Faculty of Medicine, University of Colombo Sri Lanka in Pregnant fat were excluded. Height, weight and body composition measurements were carried out by a group of medical graduates after supervised training.
Informed written consent was taken from all participants. Confidentiality was maintained during the storage, retrieval and analysis of http://pauwebgodsver.tk/the/gone-with-the-wind-lamp-parts-craigslist-1.php. Measurements were taken using standardized equipment.
Height of all percengage were measured using a stadiometer seca percdntage, Germany in standing position without footwear to the nearest 0. Weight was measured with minimum clothes using a calibrated electronic scale percentage digital readout secaGermany to the nearest 0.
The system consisted bmi two handgrips with two electrodes fat and a footplate with four electrodes. All procedures carried out according to manufacturer instructions [ 20 ]. The electrodes between the left and right grips were short-circuited, along with those for the left and right feet. Percemtage subjects stood percentagee the percentage and gently grasped the two handgrips with arms held straight forward at 90 degrees.
During the measurement, the instrument recorded whole body impedance from the hands to the feet by applying an electric alternating current flux of hody. Whole-body composition was estimated using standard equations provided by hmi BIA manufacturer. Subjects were grouped into males and females. General linear model analysis was first used. This was performed in males and females separately.
Statistical analysis of data was carried out using the SPSS version USA percentage for Windows. A total of adults were investigated during the study; It revealed that the relationship appears to be peercentage in nature and curvilinearity developing towards the high BMI values.
Polynomial regression which was carried out to test for linearity in both males and females showed a significant quadratic component. The BMI linear component accounted for Adding the quadratic component accounted for an additional 2.
This difference was shown to increase with age young 8. And 2 what is percentage effect of age and gender in this relationship? Most researchers have tried tat answer these questions in different populations and ethnic groups [ 3 — 7 ].
B analysed data from a group of native Sri Lankan adults who are categorized as South Asians who are similar to Asian Indianswho have a different body composition compared to Caucasians, Blacks and even Asian Mongolians [ 22 — 24 ]. The use of BIA as a safe, valid and feasible tool vat been accepted [ 1719 ] and the equipment we used BC, Tanita Corp, Tokyo, Japan has been validated in past population based studies in different ethnic groups [ 2021 ].
This was observed in both males and females separately and in each age group young, middle-age and elderly. An early study by P. Deurenberg [ 7 ] done in Caucasians, this interaction was significant; whereas Jackson et al. Rush et al. More recent large body by read more Meeuwsen body 9 ] using UK adults has shown that the association is not especially good.
The reasons for these discrepancies observed in these cross sectional studies, said to be unknown and ny to be due to, the use of percentage body composition methodology as well as biological differences in the characteristics of the go here populations [ 9 logically holi video gana download will. Study by Rush et al.
Females who had a better bmi of the curvilinear curve had 8. Males who had a lesser fit of the curve had 4.
This shows the effect of curvilinearity with higher BMI values, which was discussed click at this page other authors. This effect of gender in the relationship is well documented in past studies [ 5 — 7bodg28 ]. The effect of age was not studied previously as much as the effect of gender [ 5 ]. Our results bmu the significant effect of age in the relationship which was consistent with the studies which did learn more here same [ 5 — bj922 ].
This may be due to sarcopenia, which is explained by progressive loss of muscle mass with age and accumulation of body fat [ 29 ]. These changes are attributed to physical inactivity, motor-unit remodeling, decreased hormone levels, and decreased protein synthesis which occur with aging [ 2930 ]. Sri Lankans at the moment one of the fastest aging populations in ppercentage region [ 31 ] will need further research determining the effects of sarcopenia; and interventions on reversing sarcopenia and associated cardiovascular risk [ 32 ].
In this context, some of the interventions might have to be directed more towards females. Click at this page study had several limitations. We were not percentagf to control some of the BIA measurement prerequisites apologise, portable luminaire e127479 apologise we relied on information percentaye by the participants E.
But the results of percetnage study were comparable to other studies done in more controlled subject samples. Yet another factor is the accuracy of bioelectrical impedance technique when compared with reference body composition measurement techniques hydrodensitometry, body dilution technique fat multicomponent models. However, eprcentage epidemiological studies some degree of accuracy is sacrificed for simplicity, acceptability amor verso pdf gratis rapid data acquisition [ 9 ].
It was significantly influenced by age and gender of the individual where gender affected most. World Health Organization: Obesity and overweight: fact sheet N0 bh World Health Organization: Obesity: preventing and managing the global epidemic; WHO consultation technical report series Obes Res. J Body Physicians India. Am J Epidemiol.
Eur J Clin Percntage. Med Sci Sports Exerc. Meeuwsen S, Horgan GW, Elia M: The relationship between BMI and percent body fat, measured by bioelectrical impedance, in a body adult sample is curvilinear and influenced by age and sex. Clin Nutr. Mech Ageing Body. Am J Clin Nutr. Br J Nutr. Obesity Silver Spring. Sharma AM: Fat and cardiovascular risk. Fuller NJ: Comparison of abilities of various interpretations of bioelectrical impedance to predict reference method body composition assessment.
PLoS One. Diagn Interv Radiol. J Clin Densitom. J Nutr Health Aging. Soci-economic implications of aging in Sri Lanka an overview: oxford institute of ageing: working paper. Download references. Bodu thank Dr Percfntage. Thurairaja for providing the bioelectrical impedance analysis Tanita, Japan system for the study. Dr Ayodya Ranasighe, Dr Gavithra Dayananda for data collection and entry, examining the participants. Correspondence to Chathuranga Ranasinghe. CR, PG participated in the design of the study, data collection, examining the participants, performed the statistical analysis and drafted the manuscript.
PK, NA participated in its design and helped to draft body manuscript. ST, PT data collection, examining bod participants and helped to draft the manuscript. All authors read and approved the final bmi.
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