CHAPTER 9. Anthropometry and Body Composition

Size: px
Start display at page:

Download "CHAPTER 9. Anthropometry and Body Composition"

Transcription

1 CHAPTER 9 Anthropometry and Body Composition 9.1 INTRODUCTION Ageing is characterized by reduction in fat free mass (FFM), primarily via loss of muscle mass, loss of bone mineral in women, redistribution of body fat leading to increased deposition of body fat in 'internal fat' depots as opposed to subcutaneous depots (Durnin & Womersley, 1974; Allison et al, 1997; Allison et al, 1999; Andres et al, 1985). Though the general pattern of change in body composition in old age is clear, it is also clear that the rate, timing and extent of the changes varies between subjects and between sexes (Durenberg et al, 1998; Heymsfield et al 1999; Hirch et al, 1997). The purposes of this chapter are: a) To compare anthropometry and body composition of Indonesian elderly living in urban metropolitan Jakarta and in urban non-metropolitan Semarang. b) To investigate the prevalence of underweight and obesity in these two communities. 9.2 ANTHROPOMETRY Anthropometry is a simple, non-invasive, quick and reliable form of obtaining objective information on nutritional status. Longitudinal observations are particularly valuable in individual assessment and help to overcome the current lack of reference values in the cross sectional situation STATURE AND ARM SPAN Arm span is another substitute for height and happens to be the same as maximal height achieved. It is sometimes necessary to ask for maximum adult height to be recalled by the subject or by a carer. Gradual reduction in height may be an indicator of vertebral crush fractures due to osteoporosis, or may be due to loss of vertebral disc space. The high correlation between height and arm span of 0.83 for female and 0.81 for males, found in Indonesian elderly, confirmed that arm span approximates the same rank-ordering of a population as height (Rabe, 1996). 191

2 192 CHAPTER 9 Table 9.1 shows that Jakarta elderly were significantly taller (153cm) than their Semarang counterparts (150cm) (P<0.0001). The mean standing height (stature) of was 162cm and of 148cm (Table 9.2). In Semarang, average height for men was 158cm and for women 147cm (Table 9.3). The men were significantly taller than the women in both centres. The majority of the men (90%) in both communities had height 150cm or more (Figure 1). More women had height less than 150cm, particularly in Semarang. Arm span was assessed amongst Semarang elderly. The average arm span of Semarang elderly was 163cm for men and 153cm for women. The men had a greater arm span by 10cm compared to the women. A higher proportion of had arm span 150cm of more compared to (Figure 2). Figure 1. Percent distribution of height by gender and centre <150 cm >=150 cm Figure 2. Percent distribution of armspan of Semarang elderly < 150 cm >= 150 cm

3 Anthropometry and body composition WEIGHT Interpretation of the weight of the elderly people should be done with circumspection. Increases in body weight may indicate overweight/ obesity or oedema. On the other hand, decreases in body weight can signify the correction of oedema, development of dehydration or emergence of nutritional disorder. Current weight may not be sufficient to identify those at health risk in old age. Weight change, however, is an indicator of health risk, particularly for thinner people who lost weight or heavier people who had gained weight. A major determinant of muscle mass in relatively sedentary population is body weight. Forbes (1987) suggests that lean mass is logarithmically related to body fat. Thus, heavier individuals of all ages are also generally stronger when asked to perform simple tests of muscle strength. Figure 3. Percent distribution of weight by gender and centre < 50 kg kg >=75 kg In Jakarta, mean body weight for men was 63 kg and for the women 54kg (Table 9.2). In Semarang, mean body weight for men was 51kg and for the women 47kg (Table 9.3). In both centres, men were significantly heavier than women. Centre differences in body weight were significant (P<0.0001). Figure 3 shows that more Jakarta elderly had body weight between 50kg to 75 kg compared to their Semarang counterparts.

4 194 CHAPTER CIRCUMFERENCES (MID-UPPER ARM, ABDOMINAL, HIP AND CALF) Mid-upper arm circumference (MUAC) Mid-upper arm circumference combined with triceps skinfold can be used to calculate midarm muscle area (MAMA) which is an index of total body protein mass. MAMA of less than 44cm 2 for men and less than 30cm2 for women may indicate protein malnutrition in Caucasian population. In both centres, men had an equal MUAC to women (Tables 9.2 and 9.3). The average circumference was 28cm for Jakarta subjects and 25cm for Semarang subjects (Table 9.1). Centre differences were significant (P<0.0001). Figure 4 shows that more Semarang elderly (40-64%) had MUACs less than 25cm than their Jakarta counterparts (13-18%). Figure 4. Percent distribution of MUAC by gender and centre < 25 cm cm >=30 cm

5 Anthropometry and body composition Abdominal circumference had a higher abdominal circumference than their female counterparts (95 vs 83; P<0.0001) (Table 9.2). In Semarang, the average abdominal circumference for men was 73cm and for women 74cm (Table 9.3). Centre differences for abdominal circumference were observed (88 vs 74) (Table 9.1). Figure 5 shows that less Jakarta elderly (23% men, 46% women) had abdominal circumferences less than 80cm compared to Semarang elderly (78% men, 62% women). Figure 5. Percent distribution of abdominal circumferences by gender and centre < 80 cm cm >= 100 cm Hip circumference Men had a smaller hip circumference than women, particularly in Semarang (Table 9.3). The average hip circumference of was 92cm, of 99cm (Table 9.2), of 84cm, of 88cm. Centre differences were significant (96 cm vs. 87cm, P<0.0001). The majority of the elderly in both places had hip circumferences between 80cm to 100 cm (Figure 6). Figure 6. Percent distribution of hip circumferences by gender and centre <80 cm cm >=100 cm

6 196 CHAPTER Calf circumference Calf circumference (in the absence of lower limb oedema) can be used to calculate weight in bed bound patients. Calf circumference is expected to have increasing application for assessment of lean mass (Chumlea and Guo, 1999). It can also be used as a measure of physical fitness in the aged. In Jakarta, the average calf circumference for men was 35cm and for women 33cm (Table 9.2). In Semarang, men had a similar value to women (31cm) (Table 9.3). Gender differences were not significant in both places. Jakarta elderly, however, had a markedly higher calf circumference (Table 9.1). Figure 7 shows that a greater proportion of Jakarta elderly had calf circumferences 35 cm than Semarang elderly. Figure 7. Percent distribution of calf circumferences by gender and centre < 30 cm cm >=35 cm

7 Anthropometry and body composition SKINFOLD THICKNESS (BICEPS, TRICEPS, SUBSCAPULAR, SUPRAILIAC, CALF) Biceps skinfold The mean biceps skinfold for was 6.2mm and for the women 6.4mm (Table 9.2). In Semarang, the mean biceps for men was 4.4mm and for women 7.3mm (Table 9.3). Gender differences were only significant in Semarang. Centre differences in biceps skinfold were not observed (Table 9.1). Most of (75%) had biceps skinfolds less than 5mm (Figure 8). Figure 8. Percent distribution of bicep skinfolds by gender and centre < 5 mm 5-10 mm >=10 mm Triceps skinfold Men had a similar triceps skinfold to women in Jakarta (11.5mm vs. 11.9mm) (Table 9.2). In contrast, had a lower triceps skinfold than the women (10.6mm vs 15.1mm, (Table 9.2). Overall, Jakarta elderly had lower triceps skinfolds than their Semarang counterparts by 2 mm (11.8mm vs 13.8mm, P<0.01) (Table 9.1). Figure 9 shows that 57% of, 44% of, 35% of, and 25% of had triceps skinfolds 5mm or less.

8 198 CHAPTER 9 Figure 9. Percent distribution of tricep skinfolds by gender and centre < 10 mm mm >=15 mm Subscapular skinfold The average subscapular skinfold of men was equal to that of women (14.6mm) in Jakarta (Table 9.2). On the other hand, had a markedly lower subscapular than (11.9mm vs 15.3mm, (Table 9.2). Centre differences for subscapular skinfolds were not significant (Table 9.1). The majority of the elderly (60-90%) had subscapular skinfolds 10 mm or more, except for. Figure 10. Percent distribution of subscapular skinfold by gender and centre < 10 mm mm >= 15 mm

9 Anthropometry and body composition Suprailiac skinfold The average suprailiac skinfold of was 7.7mm and of women 7.2mm (Table 9.2). In Semarang, the value was 8.2mm for men and 13.2 for women (Table 9.3). Overall, suprailiac skinfold for Jakartans was 7.4mm and for Semarangs 11.8mm. Gender differences for suprailiac skinfolds were seen in Semarang, and centre differences were also significant (P<0.0001) (Table 9.1). Most of the elderly (75-85%) had suprailiac skinfolds 5 mm or more, except for (Figure 11). Figure 11. Percent distribution of suprailiac skinfolds by gender and centre <5 mm 5-10 mm mm >=15 mm Total skinfold Total skinfolds (biceps + triceps + subscapular + subscapular) averaged 40mm both for men and women in Jakarta (Table 9.2). In Semarang, total skinfolds averaged 35mm for men and 51mm for women (Table 9.3). Overall, the average total skinfolds of Jakarta elderly were 40mm and of Semarang elderly of 46mm. Gender differences within centre were significant in Semarang. Centre differences in total skinfolds were significant (P<0.06) (Table 9.1). Most of the elderly (80-88%) had total skinfolds less than 50mm, except for (Figure 12).

10 200 CHAPTER 9 Figure 12. Percent distribution of total skinfolds by gender and centre <30 mm mm mm >=50 mm Calf skinfold The average calf skinfold of was 7.7mm and of women 7.2mm (Table 9.2). In Semarang, the value was 6.7mm for men and 8.7 for women (Table 9.3). Overall, calf skinfold for Jakartans was 7.4mm and for Semarangs 8.1mm. Gender and centre differences were not seen. Most of the elderly in both communities (70-90%) had calf skinfold less than 10mm (Figure 13). Figure 13. Percent distribution of calf skinfold by gender and centre < 5 mm 5-10 mm >=10 mm

11 Anthropometry and body composition 201 Table 9.1 Anthropometric characteristics of Indonesian elderly by centre Jakarta (N=212) Semarang (N=238) Mean ± std Median Range Mean ± std Median Range Weight, kg 57±11**** ± Height, cm 153±10 **** ± BMI 24±6 **** ± MUAC, cm 28±4 **** ± MUAMC, cm 28±3**** ± MAMA, cm 2 48±11 **** ± Abdominal circumference, cm Hip circumference, cm 88± ± ±59 **** ± A/H ratio 1.0±1.4 **** ± Calf circumference, cm 33±5 **** ± Biceps skinfold, mm 6.4± ± Triceps skinfold, mm 11.8± ±6.5 ** Subscapular skinfold, mm 14.6± ± Suprailiac skinfold, mm 7.4± ±7.7 **** Total skinfold, mm 40.1± ± Calf skinfold, mm 7.4± ± Significant differences from zero: * P<0.005; ** P<0.01; *** P<0.001; **** P<0.0001; P<0.06; P<0.07. BMI: Body mass index. MUAC: Mid-upper arm circumference. MUAMC: Mid-upper arm muscle circumference. MAMA: Mid-upper arm muscle area. A/H ratio: Abdominal/ Hip ratio. Range: 25 th 75 th percentile

12 202 CHAPTER 9 Table 9.2 Anthropometric data of Jakarta subjects Men (N=78) Women (N=135) Mean ± std Median Range Mean ± std Median Range Weight, kg 63±10 **** ± Height, cm 162±6 **** ± BMI 24± ± MUAC, cm 28± ± MUAMC, cm 28± ± MAMA, cm 2 49± ± Abdominal circumference, cm Hip circumference, cm 95±82 **** ± ± ± A/H ratio 1.0± ± **** Calf circumference, cm 35± ± Biceps skinfold, mm 6.2± ± Triceps skinfold, mm 11.5± ± Subscapular skinfold, mm Suprailiac skinfold, mm 14.6± ± ± ± Total skinfold, mm 40.2± ± Calf skinfold, mm 7.7±2.5 **** ± Significant differences from zero: * P<0.005; ** P<0.01; *** P<0.001; **** P<0.0001; P<0.06. BMI: Body mass index. MUAC: Mid-upper arm circumference. MUAMC: Mid-upper arm muscle circumference. MAMA: Mid-upper arm muscle area. A/H ratio: Abdominal/ Hip ratio. Range: 25 th 75 th percentile

13 Anthropometry and body composition 203 Table 9.3 Anthropometric data of Semarang subjects Men (N=62) Women (N=176) Mean ± std Median Range Mean ± std Median Range Weight, kg 51±11 * ± Height, cm 158±6 **** ± BMI 20±4 ** ± Arm span, cm 163±13 **** ± MUAC, cm 25± ± MUAMC, cm MAMA, cm 2 38± ± Abdominal circumference, cm Hip circumference, cm 73± ± ± ±10 ** A/H ratio 0.9±0.1** ± Calf circumference, cm 31± ± Biceps skinfold, mm 4.4± ± Triceps skinfold, mm 10.6± ±6.4 **** **** Subscapular skinfold, mm Suprailiac skinfold, mm 11.9± ±7.5 **** ± ±7.7 **** Total skinfold, mm 35.1± ±23.8 **** Calf skinfold, mm 6.7± ± Significant differences from zero: * P<0.005; ** P<0.01; *** P<0.001; **** P<0.0001; P<0.06; P<0.07. BMI: Body mass index. MUAC: Mid-upper arm circumference. MUAMC: Mid-upper arm muscle circumference. MAMA: Mid-upper arm muscle area. A/H ratio: Abdominal/ Hip ratio. Range: 25 th 75 th percentile

14 204 CHAPTER BODY COMPOSITION BODY MASS INDEX (BMI) Being overweight is an important contributor to risk of morbidity in younger people, particularly coronary heart disease. In people around age 65, heavier weight is associated with a modest increase in the risk of coronary heart disease. Harris et al (1997a) reported that BMI 27 in late middle age was associated with increased risk of coronary heart disease in later life (relative risk=1.7, 95% confidence interval 1.3 to 2.1). Thinner older people who lost weight and heavier people who had gained weight showed increased risk of CHD compared with thinner people with stable weight. The association between BMI and health risk remains controversial. Matilla and co-workers (1986) reported that BMI between 27 to 30 in the elderly was associated with less mortality. Numerous methods are also available to assess nutritional status by way of body composition, applicable for the elderly (Deurenberg et al, 1998; Lukaski, 1997). Body mass index has usually been the index of choice in studies, because its components - height and weight- are rapid and simple to measure. The robustness of the BMI as an indicator of chronic energy deficiency has been vigorously championed and to a lesser extent, defended as an index of overweight as well. Furthermore both extremes of BMI have been proven to be strong predictors of increased mortality and morbidity (Harris, 1997b). Although not significant, men had a lower BMI than women in Jakarta (24 vs 25). In Semarang, men had a markedly lower BMI than women (20 vs 22, P<0.01). When men and women were pooled together, Jakarta elderly had a significantly higher BMI than Semarang elderly (24 vs 21) (Table 9.4). Figure 14 shows that more Semarang elderly (30%) had BMI less than 18.5 compared to Jakarta elderly (<7%). A small proportion of the elderly in both communities had BMI 30 or greater. The figure indicates the problems of undernutrition are more prevalent compared to that of overnutrition.

15 Anthropometry and body composition 205 Table 9.4 Distribution of BMI by gender and centre Gender Jakarta Semarang Mean ± std g/d Median g/d Range Mean ± std g/d Median g/d Range Men 24± ± Women 25± ±5 ** Men + Women 24±6 **** ± Range: 25 th 75 th percentile Figure 14. Percent distribution of BMIs by gender and centre < >= BODY MASS ARM SPAN Using height in calculating BMI could be inappropriate because of height loss with aging due to the compression of vertebrae, kyposis and osteoporosis. Solomon and his colleagues (1993) have raised the question of an appropriate weight to cover a frame in which the vertical dimension (height) is shrinking. Correction of the measured height by an estimate of the stature that existed in adulthood was suggested. Arm span is relatively independent of aging and is highly related to the height of an individual (Rabe et al, 1996). To predict the prevalence of CHD in elderly it may be more reliable to use arm span in the determination

16 206 CHAPTER 9 of weight related to body stature. Body mass arm span (BMA) can be calculated by dividing body weight (kg) to arm span (m 2 ). Men had a similar body mass arm span to women (20) in Semarang (Table 9.5). Figure 15 shows that a greater proportion of men (61%) had BMA <18.5 compared to women (41%), but a reversed figure for BMA between 18.5 to 25. Table 9.5 Body mass arm span of Semarang subjects by gender Mean ± std g/d Median g/d Range (25 th -75 th percentile) Men (n=62) 20± Women (n=176) 20± Men + Women (n=238) 20± P<0.07. Figure 15. Percent distribution of BMAs of Semarang elderly < >= ABDOMINAL TO HIP RATIO The average ratio of abdominal to hip in both and women was 1.0. The ratio for was 0.9 and for 0.8. The ratio amongst Jakarta elderly was 1.0 and amongst Semarang elderly 0.8. Gender and centre differences were significant (Table 9.6). Figure 16 indicates that more women were abdominally obese compared to their male counterparts.

17 Anthropometry and body composition 207 Studies have found that abdominal circumference is a stronger predictor of health than the abdominal to hip ratio. Abdominal circumference greater than 100cm for men and 90cm for women is associated with greater health risks. This study found that a small proportion of the elderly in both communities (<8%) had abdominal circumference 100cm or greater (Figure 5). Table 9.6 Abdominal to hip ratio by gender and centre Gender Mean ± std g/d Jakarta (n=) Median g/d Range Mean ± std g/d Semarang (n=) Median g/d Range Men (n=) 1.0±0.9 **** ±0.1 ** Women (n=) 1.0± ± Total 1.0±1.4 **** ± Range: 25 th 75 th percentile Figure 16. Percent distribution of A/H ratio by gender and centre =<0.85 women, =< 0.95 men >0.85 women,>0.95 men

18 208 CHAPTER ARM MUSCLE CIRCUMFERENCE AND ARM MUSCLE AREA Mid-upper arm muscle circumference (MUAMC) Jakarta elderly had a significantly higher mean of MUAMCs (28cm) than Semarang elderly (21cm) (Table 9.1). In Jakarta, men had an equal MUAMCs to their female counterparts (Table 9.2). Nevertheless, had a significantly higher MUAMCs than (Table 9.3). A higher proportion of Jakarta elderly (80%) than Semarang elderly (65%) had MUAMCs of 20-30cm (Figure 17). Figure 17. Percent distribution of MUAMCs by gender and centre < 20 cm cm >=30 cm

19 Anthropometry and body composition Mid-upper arm muscle areas (MAMA) Jakarta elderly had significantly higher MAMAs (48cm 2 ) than Semarang elderly (37cm 2 ) (Table 9.1). In Jakarta, men had similar MAMAs to women (Table 9.2); in had a significantly higher MAMAs than women ((Table 9.3). The majority of Jakarta elderly (75%) had MAMA 40cm 2 or more; but the majority of Semarang elderly (70%) had MAMA less than 40cm 2 (Figure 18). Figure 18. Percent distribution of MAMA by gender and centre < 40 cm cm2 >=50 cm2 9.4 BODY FAT AND FAT MASS Great interest has focused recently on patterns of body fat distribution rather than amounts of fat per se as the real risk factor for cardiovascular disease. A variety of determinants influence regional body fat distribution, such as obesity, smoking and age (Bouchard et al, 1990). Because it has been shown that body weight varies with age, first increasing up to middle age and then declining in both sexes, it is important to distinguish between the effects of age and the effect of changes in body weight on body fat distribution. Cross sectional and longitudinal studies have shown age related changes in the pattern of body fat distribution evaluated by measuring waist to hip ratio or skinfold thickness (Noppa et al, 1980; Forbes, 1990).

20 210 CHAPTER TOTAL BODY FAT Using bioimpedance assessment, total body fat was 17kg (27%) for, 8kg (14%) for, 12kg (23%) for, and 6kg (13%) for. Using skinfold measurements with Durnin equation, total body fat was 14kg (23%) for, 16kg (30%) for, 10kg (19%) for, and 16kg (32%) for (Table 9.7). Men in both centres had a higher total body fat calculated by bioimpedance assessment compared to skinfold measurements. However, it was found to be the reverse in women. Figure 19. Percent distribution of total body fat using skinfold measurements by gender and centre < 20 % % >= 30 %

21 Anthropometry and body composition 211 Table 9.7 Distribution of total body fat by gender and centre Total body fat Jakarta Semarang Men Women Men Women Total body fat (BIA), kg 17.5± ± ± ±2.6 Total body fat (BIA), % Total body fat (skinfold), kg 14.5± ± ± ±6.7 Total body fat (skinfold), % BIA: bio-impedance assessment Figure 19 shows that the majority (87%) of men in both communities had total body fat less than 30% using skinfold measurements. On the other hand, 47-65% of women had total body fat 30% or more using skinfold measurements. Figure 20 shows that all the women and the majority of men (80%) had total body fat 20% or less. Figure 20. Percent distribution of total body fat using BIA by gender and centre < 20 % % >= 30 %

22 212 CHAPTER FAT FREE MASS Using bioimpedance assessment, fat free mass was 45kg (73%) for, 46kg (86%) for, 38kg (77%) for, and 41kg (87%) for. Using skinfold measurements with Durnin equation, fat free mass was 48kg (77%) for, 38kg (71%) for, 40kg (81%) for, and 32kg (68%) for (Table 9.8). Table 9.8 Distribution of fat free mass by gender and centre Jakarta Semarang Men Women Men Women Fat free mass (BIA), kg 45.3± ± ± ±9.4 Fat free mass (BIA), % Fat free mass (skinfold), kg 48.4± ± ± ±5.6 Fat free mass (skinfold), % Figure 21. Percent distribution of fat free mass using skinfold measurements by gender and centre < 70 % % >= 80 %

23 Anthropometry and body composition 213 Figure 21 shows that most men (85%) and 30-50% women in both ethnic groups had fat free mass 70 % or more using skinfold measurements. By using BIA, most men and women (80%) in both places had fat free mass 70% or more (Figure 22) Figure 22. Percent distribution of fat free mass using BIA by gender and centre < 70% % % >=90 % PREVALENCE OF OBESITY General obesity Obesity is a risk factor for many chronic diseases. Although studies give varying values for ideal weights in older persons, extremes of body mass index {very high (BMI 30) and very low (BMI<18.5) are adversely associated with health in most populations (Khaw, 1997). The BMI was used in this study to classify subjects as being underweight (BMI<18.5), desirable weight (BMI ), overweight (BMI 25-30), and obese (BMI 30). Figure 23 shows that 4%, 10% of, 2% of and 7% of were obese using the WHO criteria of BMI 30 or more. A working party with representation from WHO, the International Society for the Study Obesity, and the International Obesity Task Force have recently recommended new criteria for defining obesity in the Asian population. In Asians, a BMI range of kg/m2 has an equivalent risk of type-2 diabetes, hypertension, and dyslipidemia as a BMI range of 25-

24 214 CHAPTER kg/m2 in Europeans (Zimmet et al, 1998 ). Figure 23 shows that 40% of and women, 13% of, and 26% of had BMI 25 or more. Figure 23. Percent distribution of obesity by gender and centre Semarang women BMI >=30 BMI >= Central obesity Central obesity was defined using abdominal to hip ratio with cut-off point of 0.95 for men and 0.85 for women. The prevalence of central obesity in Jakarta was 37% for men and 54% for women. The prevalence in was 8% for men and 42% for women (Figure 24). Figure 24. Percent distribution of central obesity by gender and centre Semarang women

25 Anthropometry and body composition DISCUSSION Obtaining the correct height of an elderly individual may be complicated due to the physical and anatomical changes that occur with aging. The most obvious physical alteration is a change in body stature, which is primarily caused by a progressive decline in absolute height. This decrease in height that occurs with age has been reported in several studies. Shortening of the spinal column is primarily responsible for the loss of the stature that occurs with aging since it has shown that the long bones do not undergo a significant reduction in size with age. Another factor affecting height is the kyphosis, which gives an individual the hunchback appearance that is present in many elderly people. It is believed that this condition is due to generalized osteoporosis. Severe osteoporosis may cause the bones in the legs to bow. This bowing, in combination with a curvature of the spine, makes it difficult to obtain the correct height. Body weight is the most commonly used indicator of the body size, which reflects adequate nutriture. It, however, has limited use because it does not distinguish between body size and composition. Master et al reported data on height and weight and found that the percentage of overweight males declines steadily over the 30-years span to constitute only 10%. Simultaneously, the number of underweight men increased from 20 to 50%. For the same agegroup, the percentage of overweight females decreased from 40 to 10%, with underweight females increasing from 20 to 55%. Most males continue to gain weight until about age 42, while women do not attain their maximum weight until age 50. Thereafter, weight usually remains fairly constant up to about age 65 or 70, whereupon it will progressively decline. Most studies documented a cumulative decrease in lean body mass with age accompanied by an increase in adipose tissue. Evidence suggests that the increased amounts of fat be deposited primarily around internal organs, especially females, while the amount of subcutaneous fat increases only slightly. The end result is a reduced ratio of subcutaneous fat to total body fat. After age 65 to70, total body weight decreases without an increase in fat tissue. This study found that Jakarta elderly were taller by 3 cm and heavier by 4 kg compared to Semarang elderly. Men tended to be taller and heavier than women in both communities; height differences were 14cm in Jakarta and 11 cm in Semarang, while weight differences were 9 kg and 4 kg respectively. Despite genetic factors, food and nutrient intakes may cause differences in weight and height of the elderly people in these communities. It was reported before (chapter 8) that Jakarta elderly had significantly higher energy and nutrient intakes. Similarly, BMIs of Jakarta elderly were higher than that of Semarang elderly. In Jakarta, the men had a similar BMI compared to the women, despite differences in their stature and

26 216 CHAPTER 9 body weight. In Semarang mean BMI of the men was significantly lower than that of the women (20 vs 22). Moreover, less Jakarta elderly had BMI <18.5 compared to Semarang elderly (6% vs 31%). On the other hand, overweight was more prevalent in Jakarta. Differences in nutritional status agreed with their differences in energy intake. It has been reported that less Jakarta elderly consumed energy <1000 kcal/d and more Jakarta elderly consumed energy 2000 kcal/d. Energy intake may in part explain their nutritional status. Several studies have documented that extreme BMIs were predictive of CVD risk. Both low and high BMI increase risk of CVD and mortality. Semarang elderly may have a greater risk of CVD due to their low BMI. Body circumference includes MUAC, abdominal, hip and calf circumferences were higher in Jakarta than in Semarang. Their value differed by 3, 14, 9, and 2cm respectively. In Jakarta, the men had a higher abdominal circumference than the women; other circumferences were similar. In Semarang, the men had a smaller hip circumference. Abdominal to hip ratio of Jakarta subjects was higher than that of Semarang subjects (1.0 vs 0.8). In both communities, the men tended to have a higher ratio than their female counterparts. Overall, the prevalence of central obesity was higher in Jakarta. In both places, the women tended to be more abdominally obese compared to the men. This suggests that Jakarta elderly, especially the women may be at a greater risk of CVD. Jakarta elderly had lower total skinfolds than Semarang elderly (40mm vs 46mm). Biceps and subscapular skinfolds were equal in these two populations, however, triceps and suprailiac skinfolds were significantly lower in Jakarta. It is interesting that Semarang elderly had more body fat deposited on their triceps and on their suprailiac. 9.6 SUMMARY Jakarta elderly were significantly taller (153cm) than their Semarang counterparts (150cm) (P<0.0001). The men in both centres tended to be taller than the women. Mean standing height (stature) of was 162cm and the women 148cm. In Semarang, average height for men was 158cm and for women 147cm. Arm span was assessed amongst Semarang elderly. The average arm span of Semarang elderly was 163cm for men and 153cm for women. Jakarta elderly had a higher body weight than their Semarang counterparts by 9kg. The men were heavier than the women in both centres. The average body weight was 63kg for, 54kg for, 51kg for, and 47kg for.

27 Anthropometry and body composition 217 Although it was not significant, men had a lower BMI than women in Jakarta (24 vs 25). In Semarang, men had a markedly lower BMI than women (20 vs 22, P<0.01). When men and women were pooled together, Jakarta elderly had a significantly higher BMI than Semarang elderly (24 vs 21). It was also found that 6% Jakarta elderly and 31% Semarang elderly were underweight (BMI <18.5). Furthermore, 33% of Jakarta elderly and 17% Semarang elderly were overweight (25 BMI<30). Finally, the prevalence of obesity (BMI 30) in both centres was similar (6 to 7%). Men had a similar body mass arm span (20) to women in Semarang. A greater proportion of men (61%) had BMA <18.5 compared to women (41%), but a reversed figure for BMA between 18.5 to 25.A greater proportion of Semarang elderly was underweight using BMA compared to BMI. Of the body circumferences, Jakarta elderly had markedly higher circumferences. These include MUAC, abdominal, hip, and calf circumference. Jakarta elderly had higher circumferences by 3, 14, 9, and 2cm respectively. In both centres, the men had an equal MUAC and calf to the women. had a higher abdominal circumference than (95cm vs 83cm). had a smaller hip circumference than (84cm vs 88cm). The average ratio of abdominal to hip was higher in Jakarta (1.0) than in Semarang (0.8). Men in both centres had a higher ratio of abdominal to hip. The average ratio was 1.0 for and women, 0.9 for, and 0.8 for. Central obesity was defined using abdominal to hip ratio with cut-off point of 0.95 for men and 0.85 for women. The prevalence of central obesity in Jakarta was 37% for men and 54% for women. The prevalence in was 11% and 41%. The women in both communities had been found to be more abdominally obese compared to the men. Of the skinfold, Jakarta elderly had a significantly lower total skinfold than Semarang elderly (40.1mm vs 46.4mm). Biceps and subscapular skinfold were similar (6.4mm and 14.6mm), but, triceps and suprailiac were lower in Jakarta. Averaged triceps was 11.8mm in Jakarta and 13.8mm in Semarang, while suprailiac was 7.4mm in Jakarta and 11.8mm in Semarang. In Jakarta, men and women had a similar skinfold, but in Semarang, the men had a lower skinfold than the women.

28 218 CHAPTER 9

Broadening Course YPHY0001 Practical Session II (October 11, 2006) Assessment of Body Fat

Broadening Course YPHY0001 Practical Session II (October 11, 2006) Assessment of Body Fat Sheng HP - 1 Broadening Course YPHY0001 Practical Session II (October 11, 2006) Assessment of Body Fat REQUIRED FOR THIS PRACTICAL SESSION: 1. Please wear short-sleeve shirts / blouses for skin-fold measurements.

More information

Broadening Course YPHY0001 Practical Session III (March 19, 2008) Assessment of Body Fat

Broadening Course YPHY0001 Practical Session III (March 19, 2008) Assessment of Body Fat Sheng HP - 1 Broadening Course YPHY0001 Practical Session III (March 19, 2008) Assessment of Body Fat REQUIRED FOR THIS PRACTICAL SESSION: 1. Please wear short-sleeve shirts / blouses. Shirts / blouses

More information

Body Composition. Sport Books Publisher 1

Body Composition. Sport Books Publisher 1 Body Composition Sport Books Publisher 1 The body composition The body composition is affected by the proportions of the body component (bones, muscles, and other tissues) It can be seen that the major

More information

BODY MASS INDEX AND BODY FAT CONTENT IN ELITE ATHLETES. Abstract. Introduction. Volume 3, No. 2, 2011, UDC :572.

BODY MASS INDEX AND BODY FAT CONTENT IN ELITE ATHLETES. Abstract. Introduction. Volume 3, No. 2, 2011, UDC :572. EXERCISE AND QUALITY OF LIFE Volume 3, No. 2, 2011, 43-48 UDC 796.034.6-051:572.087 Research article BODY MASS INDEX AND BODY FAT CONTENT IN ELITE ATHLETES Jelena Popadiã Gaãeša *, Otto Barak, Dea Karaba

More information

Chapter 17: Body Composition Status and Assessment

Chapter 17: Body Composition Status and Assessment Chapter 17: Body Composition Status and Assessment American College of Sports Medicine. (2010). ACSM's resource manual for guidelines for exercise testing and prescription (6th ed.). New York: Lippincott,

More information

UNIT 4 ASSESSMENT OF NUTRITIONAL STATUS

UNIT 4 ASSESSMENT OF NUTRITIONAL STATUS UNIT 4 ASSESSMENT OF NUTRITIONAL STATUS COMMUNITY HEALTH NUTRITION BSPH 314 CHITUNDU KASASE BACHELOR OF SCIENCE IN PUBLIC HEALTH UNIVERSITY OF LUSAKA 1. Measurement of dietary intake 2. Anthropometry 3.

More information

Fitness Nutrition Coach. Part IV - Assessing Nutritional Needs

Fitness Nutrition Coach. Part IV - Assessing Nutritional Needs Part IV - Assessing Nutritional Needs 62 For the FNC, a nutrition assessment provides information on your client s diet quality and awareness about nutrient information. Clients should be encouraged to

More information

DOI: /HAS/AJHS/9.2/

DOI: /HAS/AJHS/9.2/ AJHS Asian Journal of Home Science Volume 9 Issue 2 December, 2014 357-362 DOI: 10.15740/HAS/AJHS/9.2/357-362 e ISSN-0976-8351 Visit us: www.researchjournal.co.in Research Paper Body composition in relation

More information

NUTRITION & MORTALITY INDICATORS IN THE CADRE HARMONISÉ. Olutayo Adeyemi

NUTRITION & MORTALITY INDICATORS IN THE CADRE HARMONISÉ. Olutayo Adeyemi NUTRITION & MORTALITY INDICATORS IN THE CADRE HARMONISÉ Olutayo Adeyemi OUTLINE Brief Introduction Measurement of nutrition basics Mortality basics Nutrition and mortality indicators in Cadre Harmonisé

More information

Overview of the FITNESSGRAM Body Composition Standards

Overview of the FITNESSGRAM Body Composition Standards body composition Body composition refers to the division of total body weight (mass) into components, most commonly fat mass and fat-free mass. The proportion of total body weight that is fat (referred

More information

NMDF121 Session 24 Nutritional Assessment

NMDF121 Session 24 Nutritional Assessment NMDF121 Session 24 Nutritional Assessment Naturopathic Medicine Department Endeavour College of Natural Health endeavour.edu.au 1 Topic Summary Nutritional assessment methods Individual dietary assessment

More information

CORRELATION OF PULMONARY FUNCTION TESTS WITH BODY FAT PERCENTAGE IN YOUNG INDIVIDUALS

CORRELATION OF PULMONARY FUNCTION TESTS WITH BODY FAT PERCENTAGE IN YOUNG INDIVIDUALS Indian J Physiol Pharmacol 2008; 52 (4) : 383 388 CORRELATION OF PULMONARY FUNCTION TESTS WITH BODY FAT PERCENTAGE IN YOUNG INDIVIDUALS ANURADHA R. JOSHI*, RATAN SINGH AND A. R. JOSHI Department of Physiology,

More information

Obesity and the Metabolic Syndrome in Developing Countries: Focus on South Asians

Obesity and the Metabolic Syndrome in Developing Countries: Focus on South Asians Obesity and the Metabolic Syndrome in Developing Countries: Focus on South Asians Anoop Misra Developing countries, particularly South Asian countries, are witnessing a rapid increase in type 2 diabetes

More information

Body composition. Body composition models Fluid-metabolism ECF. Body composition models Elemental. Body composition models Anatomic. Molnár Dénes.

Body composition. Body composition models Fluid-metabolism ECF. Body composition models Elemental. Body composition models Anatomic. Molnár Dénes. Body composition models Fluid-metabolism Fat Body composition ECF Molnár Dénes BCM ICF ICS ECS FFM Body composition models Anatomic Fat NSMST SM Body composition models Elemental Miscellaneous Calcium

More information

Relationship Among Three Field Methods of Estimating Percent Body Fat in Young Adults

Relationship Among Three Field Methods of Estimating Percent Body Fat in Young Adults Relationship Among Three Field Methods of Estimating Percent Body Fat in Young Adults A O AKINPELU Department of Physiotherapy, College of Medicine, University of Ibadan, Ibadan, Nigeria CA GBIRI Department

More information

Documentation, Codebook, and Frequencies

Documentation, Codebook, and Frequencies Documentation, Codebook, and Frequencies Body Measurements Examination Survey Years: 2005 to 2006 SAS Transport File: BMX_D.XPT November 2007 NHANES 2005 2006 Data Documentation Exam Component: Body Measurements

More information

Abdominal volume index and conicity index in predicting metabolic abnormalities in young women of different socioeconomic class

Abdominal volume index and conicity index in predicting metabolic abnormalities in young women of different socioeconomic class Research Article Abdominal volume index and conicity index in predicting metabolic abnormalities in young women of different socioeconomic class Vikram Gowda, Kripa Mariyam Philip Department of Physiology,

More information

Dietary Planning Across the Lifespan NMDD221

Dietary Planning Across the Lifespan NMDD221 Dietary Planning Across the Lifespan NMDD221 Session 2 Anthropometric Assessment Nutritional Medicine Department Endeavour College of Natural Health endeavour.edu.au 1 Overview BMI, hip and waist measurements,

More information

Professional Diploma. in Nutrition. Module 1. Lesson 1: Health is Your Wealth EQF Level 5. Professional Diploma

Professional Diploma. in Nutrition. Module 1. Lesson 1: Health is Your Wealth EQF Level 5. Professional Diploma Professional Diploma in Nutrition Module 1 Lesson 1: Health is Your Wealth EQF Level 5 Professional Diploma What is Anthropometry? External measurement of body composition Tells you how much of your weight

More information

Volume 7, Issue 1, January 2018, e-issn:

Volume 7, Issue 1, January 2018,   e-issn: Volume 7, Issue 1, January 2018, www.ijfans.com e-issn: 2320-7876 e-issn 2320-7876 www.ijfans.com Vol. 7, No. 1, January 2018 All Rights Reserved Research Paper Open Access ASSESSMENT OF NUTRITIONAL ANTHROPOMETRY

More information

Component of Statistics Canada Catalogue no X Health Fact Sheets. Article. Body Composition of Canadian Adults 2007 to 2009.

Component of Statistics Canada Catalogue no X Health Fact Sheets. Article. Body Composition of Canadian Adults 2007 to 2009. Component of Statistics Canada Catalogue no. 82-625-X Health Fact Sheets Article Body Composition of Canadian Adults 2007 to 2009 January 2010 How to obtain more information For information about this

More information

Effect of Physical Training on Body Composition in Moscow Adolescents

Effect of Physical Training on Body Composition in Moscow Adolescents Effect of Physical Training on Body Composition in Moscow Adolescents Elena Godina, Irena Khomyakova, Arsen Purundzhan, Anna Tretyak and Ludmila Zadorozhnaya Institute and Museum of Anthropology, Moscow

More information

DEVELOPMENT OF ANTHROPOMETRIC CHAIR BASED ON ARM SPAN, KNEE HEIGHT, AND SITTING HEIGHT FOR ELDERLY

DEVELOPMENT OF ANTHROPOMETRIC CHAIR BASED ON ARM SPAN, KNEE HEIGHT, AND SITTING HEIGHT FOR ELDERLY International Journal International of GEOMATE, Journal of Dec., GEOMATE, 2016, Vol. Dec., 11, 2016, Issue 28, Vol. pp.2844-2850 11, Issue 28, pp.2844-2850 Special Issue on Science, Engineering and Environment,

More information

Lecture 7 Body Composition Lecture 7 1. What is Body Composition? 2. Healthy Body Weight 3. Body Fat Distribution 4. What Affects Weight Gain?

Lecture 7 Body Composition Lecture 7 1. What is Body Composition? 2. Healthy Body Weight 3. Body Fat Distribution 4. What Affects Weight Gain? Lecture 7 Body Composition 1 Lecture 7 1. What is Body Composition? 2. Healthy Body Weight 3. Body Fat Distribution 4. What Affects Weight Gain? 2 1 Body Composition Relative amounts of fat and fat-free

More information

INTERPRETING FITNESSGRAM RESULTS

INTERPRETING FITNESSGRAM RESULTS CHAPTER 9 INTERPRETING FITNESSGRAM RESULTS FITNESSGRAM uses criterion-referenced standards to evaluate fitness performance. These standards have been established to represent a level of fitness that offers

More information

Procedures for taking physical measurements

Procedures for taking physical measurements Procedures for taking physical measurements Dr Diane Cooper PhD Exercise physiology and metabolism Partner in True Fitness Coordinator & lecturer on BSc Sports Science, AIT Metabolic researcher on European

More information

Fat Mass. Baseline. (lbs) (lbs) Composition Trend: Total. Aug 17. Apr 17. May 17. Jun 17. Jul 17. Measured Date

Fat Mass. Baseline. (lbs) (lbs) Composition Trend: Total. Aug 17. Apr 17. May 17. Jun 17. Jul 17. Measured Date Name Sample Report Birth Date: 00/00/000 Height: 74.0 in. Gender Male Age: 54.7 Input Weight: 165.0 lbs. Body Composition Analysis (BCA) DXA or DEXA is a three component model, which means it quantifies

More information

Body Mass Index. The table below can be used to assess an adult s status BMI Status.

Body Mass Index. The table below can be used to assess an adult s status BMI Status. Body Mass Index (BMI) is used as a screening tool to identify possible weight problems, however, BMI is not a diagnostic tool. To determine if excess weight is a health risk further assessments are needed

More information

Validation of Body Fat Measurement by Skinfolds and Two Bioelectric Impedance Methods with DEXA The Chennai Urban Rural Epidemiology Study [CURES-3]

Validation of Body Fat Measurement by Skinfolds and Two Bioelectric Impedance Methods with DEXA The Chennai Urban Rural Epidemiology Study [CURES-3] Original Article Validation of Body Fat Measurement by Skinfolds and Two Bioelectric Impedance Methods with DEXA The Chennai Urban Rural Epidemiology Study [CURES-3] Sudha Vasudev, Anjana Mohan, Deepa

More information

Percentiles Distribution of CVD Risk Factors in Elderly of Asian Indian Origin: The Santiniketan Longitudinal Study on Aging

Percentiles Distribution of CVD Risk Factors in Elderly of Asian Indian Origin: The Santiniketan Longitudinal Study on Aging Percentiles Distribution of CVD Risk Factors in Elderly of Asian Indian Origin: The Santiniketan Longitudinal Study on Aging Tamashree Dutta 1, Arnab Ghosh 2 Biomedical research Laboratory, Department

More information

Body Composition. Lecture Overview. Measuring of Body Composition. Powers & Howely pp Methods of measuring body composition

Body Composition. Lecture Overview. Measuring of Body Composition. Powers & Howely pp Methods of measuring body composition Body Composition Powers & Howely pp 344-356 Lecture Overview Methods of measuring body composition Two-component system Body fatness for health & fitness Obesity and weight control Diet, exercise, and

More information

Analysis of Body Compositions and Energy Expenditure of Sedentary Teaching Employees of SDAU, Gujarat, India

Analysis of Body Compositions and Energy Expenditure of Sedentary Teaching Employees of SDAU, Gujarat, India International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Special Issue-7 pp. 914-921 Journal homepage: http://www.ijcmas.com Original Research Article Analysis of Body Compositions

More information

Assessing Physical Activity and Dietary Intake in Older Adults. Arunkumar Pennathur, PhD Rohini Magham

Assessing Physical Activity and Dietary Intake in Older Adults. Arunkumar Pennathur, PhD Rohini Magham Assessing Physical Activity and Dietary Intake in Older Adults BY Arunkumar Pennathur, PhD Rohini Magham Introduction Years 1980-2000 (United Nations Demographic Indicators) 12% increase in people of ages

More information

The Relationship between Skinfold Thickness and Body Mass Index in Estimating Body Fat Percentage on Bowen University Students

The Relationship between Skinfold Thickness and Body Mass Index in Estimating Body Fat Percentage on Bowen University Students IBBJ Summer 2017, Vol 3, No 3 Original Article The Relationship between Skinfold Thickness and Body Mass Index in Estimating Body Fat Percentage on Bowen University Students Gideon Ojo *, Olamide Adetola

More information

Lecture 6 Fitness Fitness 1. What is Fitness? 2. Cardiorespiratory Fitness 3. Muscular Fitness 4. Flexibility 5. Body Composition

Lecture 6 Fitness Fitness 1. What is Fitness? 2. Cardiorespiratory Fitness 3. Muscular Fitness 4. Flexibility 5. Body Composition Lecture 6 Fitness 1 Fitness 1. What is Fitness? 2. Cardiorespiratory Fitness 3. Muscular Fitness 4. Flexibility 5. Body Composition 2 1 Americans (on average) are not a healthy bunch 3 Sitting is the new

More information

Comparison of body composition between fashion models and women in general

Comparison of body composition between fashion models and women in general OPEN ACCESS http://dx.doi.org/10.20463/jenb.2017.0032 J Exerc Nutrition Biochem. 2017;21(4):022-026 Received: 2017/11/13, Revised: 2017/12/07, Accepted: 2017/12/18, Published: 2017/12/31 2017 Sunhee Park;

More information

Adult BMI Calculator

Adult BMI Calculator For more information go to Center for Disease Control http://search.cdc.gov/search?query=bmi+adult&utf8=%e2%9c%93&affiliate=cdc-main\ About BMI for Adults Adult BMI Calculator On this page: What is BMI?

More information

Duncan Macfarlane IHP, HKU Parts of this lecture were based on lecture notes provided by the Lindsay Carter Anthropometric Archive, AUT, NZ

Duncan Macfarlane IHP, HKU Parts of this lecture were based on lecture notes provided by the Lindsay Carter Anthropometric Archive, AUT, NZ Body composition assessment issues in athletes 1 Duncan Macfarlane IHP, HKU Parts of this lecture were based on lecture notes provided by the Lindsay Carter Anthropometric Archive, AUT, NZ LEARNING OUTCOMES:

More information

BODY COMPOSITION: AN ANALYSIS BETWEEN THE FOOTBALLER AND THANG-TA PRACTITIONER OF MANIPUR

BODY COMPOSITION: AN ANALYSIS BETWEEN THE FOOTBALLER AND THANG-TA PRACTITIONER OF MANIPUR BODY COMPOSITION: AN ANALYSIS BETWEEN THE FOOTBALLER AND THANG-TA PRACTITIONER OF MANIPUR T. INAOBI SINGH 1, MAIBAM CHOURJIT SINGH 2, CHETAN MAIBAM 3 1 Department of Physical Education & Sports Science,

More information

Understanding & Interpreting Body Composition Measures

Understanding & Interpreting Body Composition Measures BODY COMPOSITION Understanding & Interpreting Body Composition Measures Body composition = component of health-related fitness & = component of metabolic fitness Unlike other health-related fitness Not

More information

The Bone Wellness Centre - Specialists in Dexa Total Body 855 Broadview Avenue Suite # 305 Toronto, Ontario M4K 3Z1

The Bone Wellness Centre - Specialists in Dexa Total Body 855 Broadview Avenue Suite # 305 Toronto, Ontario M4K 3Z1 Patient: Obese, Sample Birth Date: 0/Jan/966 44.4 years Height / Weight: 72.0 cm 95.0 kg Sex / Ethnic: Male Patient ID: Referring Physician: DR. SMITH Measured: 07/Jun/200 7:0:52 PM (.40) Analyzed: 02/Apr/203

More information

Relationship of Body Mass Index, Waist Circumference and Waist-Stature Ratio with Body Fat of the Indian Gorkha Population

Relationship of Body Mass Index, Waist Circumference and Waist-Stature Ratio with Body Fat of the Indian Gorkha Population Mal J Nutr Relationship 19(2): 185 of BMI, - 192, WC 2013 and WSR with Body Fat of the Indian Gorkha Population 185 Relationship of Body Mass Index, Waist Circumference and Waist-Stature Ratio with Body

More information

WAIST-HEIGHT RATIO : A NEW OBESITY INDEX FOR FILIPINOS?

WAIST-HEIGHT RATIO : A NEW OBESITY INDEX FOR FILIPINOS? WAIST-HEIGHT RATIO : A NEW OBESITY INDEX FOR FILIPINOS? Consuelo L. Orense, MSPH, Charmaine A. Duante, RMT, MS Epid.(PH), Ermelita N. Bautista, MPH and Lilibeth P. Dasco, MSAN ABSTRACT The study aimed

More information

Fitness and Wellness 12th Edition Hoeger TEST BANK Full download at:

Fitness and Wellness 12th Edition Hoeger TEST BANK Full download at: Fitness and Wellness 12th Edition Hoeger TEST BANK Full download at: https://testbankreal.com/download/fitness-wellness-12th-edition-hoeger-testbank/ Fitness and Wellness 12th Edition Hoeger SOLUTIONS

More information

Santosh Metgud 1, Charleen D Silva * 2, Anand Heggannavar 3. Access this Article online. Quick Response code. Original Research Article

Santosh Metgud 1, Charleen D Silva * 2, Anand Heggannavar 3. Access this Article online. Quick Response code. Original Research Article Original Research Article EFFECT OF 30 DAYS ABDOMINALS CHALLENGE VERSUS 30 DAYS PLANKS CHALLENGE ON WAIST CIRCUMFERENCE AND ABDOMINAL SKIN FOLD MEASUREMENTS IN HEALTHY YOUNG INDIVIDUALS: RANDOMIZED CLINICAL

More information

Unit 4: Contemporary Nutrition Issues. Good Health and Malnutrition (Overnutrition)

Unit 4: Contemporary Nutrition Issues. Good Health and Malnutrition (Overnutrition) Unit 4: Contemporary Nutrition Issues Good Health and Malnutrition (Overnutrition) Introduction to Contemporary Nutrition Issues The decisions people make have social, economic, health and environmental

More information

Lecture 7 Body Composition Lecture 7 1. What is Body Composition? 2. Healthy Body Weight 3. Body Fat Distribution 4. What Affects Weight Gain?

Lecture 7 Body Composition Lecture 7 1. What is Body Composition? 2. Healthy Body Weight 3. Body Fat Distribution 4. What Affects Weight Gain? Lecture 7 Body Composition 1 Lecture 7 1. What is Body Composition? 2. Healthy Body Weight 3. Body Fat Distribution 4. What Affects Weight Gain? 2 1 Body Composition Relative amounts of fat and fat-free

More information

ESPEN Congress The Hague 2017

ESPEN Congress The Hague 2017 ESPEN Congress The Hague 2017 Paediatric specificities of nutritional assessment Body composition measurement in children N. Mehta (US) 39 th ESPEN Congress The Hague, Netherlands Body Composition Measurement

More information

Module 2: Metabolic Syndrome & Sarcopenia. Lori Kennedy Inc & Beyond

Module 2: Metabolic Syndrome & Sarcopenia. Lori Kennedy Inc & Beyond Module 2: Metabolic Syndrome & Sarcopenia 1 What You Will Learn Sarcopenia Metabolic Syndrome 2 Sarcopenia Term utilized to define the loss of muscle mass and strength that occurs with aging Progressive

More information

Evaluation of body fat in fatter and leaner 10-y-old African American and white children: the Baton Rouge Children s Study 1 3

Evaluation of body fat in fatter and leaner 10-y-old African American and white children: the Baton Rouge Children s Study 1 3 Original Research Communications Evaluation of body fat in fatter and leaner 10-y-old African American and white children: the Baton Rouge Children s Study 1 3 George A Bray, James P DeLany, David W Harsha,

More information

Suprailiac or Abdominal Skinfold Thickness Measured with a Skinfold Caliper as a Predictor of Body Density in Japanese Adults

Suprailiac or Abdominal Skinfold Thickness Measured with a Skinfold Caliper as a Predictor of Body Density in Japanese Adults Tohoku J. Exp. Med., 2007, Measurement 213, 51-61Error Characteristics of Skinfold Caliper 51 Suprailiac or Abdominal Skinfold Thickness Measured with a Skinfold Caliper as a Predictor of Body Density

More information

Body Fat Percentage Extracted from 3-D Scans for Sports & Medical Science

Body Fat Percentage Extracted from 3-D Scans for Sports & Medical Science Body Fat Percentage Extracted from 3-D Scans for Sports & Medical Science Jochen BALZULAT a *, Ulrich BOTZENHARDT a, Norbert BACHL b, Arnold BACA b, Mario HELLER b a Human Solutions GmbH, Kaiserslautern,

More information

CHAPTER 4 RESULTS AND DISCUSSION

CHAPTER 4 RESULTS AND DISCUSSION University of Pretoria etd Mentz, N (2003) 171 CHAPTER 4 RESULTS AND DISCUSSION The primary aim of this study was to evaluate the effect of an eight-week programme of electrical muscle stimulation (EMS)

More information

Obesity. Assist. Prof. Ivana Kolčić

Obesity. Assist. Prof. Ivana Kolčić Obesity Assist. Prof. Ivana Kolčić Malnutrition Undernutrition Overnutrition double burden of malnutrition : undernutrition of children & overnutrition among adults, often within the same family poverty

More information

Professional Diploma in Sports Nutrition

Professional Diploma in Sports Nutrition Professional Diploma in Sports Nutrition Module 1 Lesson 8: Strategies for Weight Loss and Muscle Gain EQF Level 5 Professional Diploma Body composition Describes the amount of fat, bone, water and muscle

More information

Nutritional concerns of overweight / obese older persons. Gordon L Jensen, MD, PhD Dept Nutritional Sciences Penn State University

Nutritional concerns of overweight / obese older persons. Gordon L Jensen, MD, PhD Dept Nutritional Sciences Penn State University Nutritional concerns of overweight / obese older persons Gordon L Jensen, MD, PhD Dept Nutritional Sciences Penn State University Prevalence of obesity among older adults: NHANES 1999-2004 Sex Age (years)

More information

ANTHROPOMETRICAL PROFILE, SKINFOLD THICKNESS AND SUBCUTANEOUS FAT DEPOSITIONS IN ADOLESCENTS OF SOUTHEASTERN NIGERIA

ANTHROPOMETRICAL PROFILE, SKINFOLD THICKNESS AND SUBCUTANEOUS FAT DEPOSITIONS IN ADOLESCENTS OF SOUTHEASTERN NIGERIA ANTHROPOMETRICAL PROFILE, SKINFOLD THICKNESS AND SUBCUTANEOUS FAT DEPOSITIONS IN ADOLESCENTS OF SOUTHEASTERN NIGERIA C. I. P. Anibeze, Ph.D. and L. C. Anyanwu, M. D Abstract The threatening health problems

More information

Clinical Nutrition NUTRITION ASSESSMENT LABORATORY INTRODUCTION EQUIPMENT AND INSTRUMENTS: EXPERIMENTS. Page 164

Clinical Nutrition NUTRITION ASSESSMENT LABORATORY INTRODUCTION EQUIPMENT AND INSTRUMENTS: EXPERIMENTS. Page 164 Clinical Nutrition NUTRITION ASSESSMENT LABORATORY Lab sessions complement the theory taught regarding different aspects of nutritional assessment, anthropometric, laboratory, clinical, dietary assessments,

More information

3/25/2010. Age-adjusted incidence rates for coronary heart disease according to body mass index and waist circumference tertiles

3/25/2010. Age-adjusted incidence rates for coronary heart disease according to body mass index and waist circumference tertiles Outline Relationships among Regional Adiposity, Physical Activity, and CVD Risk Factors: Preliminary Results from Two Epidemiologic Studies Molly Conroy, MD, MPH Obesity Journal Club February 18, 2010

More information

Mal J Nutr 8(1): 55-62, Suzana Shahar 1, Wong Sun Fun 1 & Wan Chak Pa Wan Chik 2

Mal J Nutr 8(1): 55-62, Suzana Shahar 1, Wong Sun Fun 1 & Wan Chak Pa Wan Chik 2 Mal J Nutr 8(1): 55-62, 2002 A Prospective Study on Malnutrition and Duration of Hospitalisation among Hospitalised Geriatric Patients Admitted to Surgical and Medical Wards of Hospital Universiti Kebangsaan

More information

Body composition A tool for nutritional assessment

Body composition A tool for nutritional assessment Body composition A tool for nutritional assessment Ingvar Bosaeus Clinical Nutrition Unit Sahlgrenska University Hospital NSKE Oslo 2012-01-18 Outline What is body composition? What is nutritional assessment?

More information

Understanding Body Composition

Understanding Body Composition Understanding Body Composition Chapter 7 Body Composition n Body composition is the ratio between fat and fat-free mass n Fat-free mass includes all tissues exclusive of fat (muscle, bone, organs, fluids)

More information

BMI may underestimate the socioeconomic gradient in true obesity

BMI may underestimate the socioeconomic gradient in true obesity 8 BMI may underestimate the socioeconomic gradient in true obesity Gerrit van den Berg, Manon van Eijsden, Tanja G.M. Vrijkotte, Reinoud J.B.J. Gemke Pediatric Obesity 2013; 8(3): e37-40 102 Chapter 8

More information

Evaluation of anthropometric equations to assess body-composition changes in young women 1 3

Evaluation of anthropometric equations to assess body-composition changes in young women 1 3 Evaluation of anthropometric equations to assess body-composition changes in young women 1 3 Karl E Friedl, Kathleen A Westphal, Louis J Marchitelli, John F Patton, W Cameron Chumlea, and Shumei S Guo

More information

European Journal of Physical Education and Sport, 2016, Vol.(13), Is. 3

European Journal of Physical Education and Sport, 2016, Vol.(13), Is. 3 Copyright 2016 by Academic Publishing House Researcher Published in the Russian Federation European Journal of Physical Education and Sport Has been issued since 2013. ISSN: 2310-0133 E-ISSN: 2310-3434

More information

FAT MASS ESTIMATION BY BIOELECTRICAL IMPEDANCE ANALYSIS

FAT MASS ESTIMATION BY BIOELECTRICAL IMPEDANCE ANALYSIS FAT MASS ESTIMATION BY BIOELECTRICAL IMPEDANCE ANALYSIS FAT MASS ESTIMATION BY BIOELECTRICAL IMPEDANCE ANALYSIS Epidemiological studies have shown that relative risk of diabetes and cardiovascular diseases

More information

CHAPTER 9 ADOLESCENT HEALTH

CHAPTER 9 ADOLESCENT HEALTH CHAPTER 9 ADOLESCENT HEALTH 9.1 Introduction Adolescence constitutes a special phase of human development as it represents the transition between childhood and adulthood. It is a phase marked by substantial

More information

Public Health and Nutrition in Older Adults. Patricia P. Barry, MD, MPH Merck Institute of Aging & Health and George Washington University

Public Health and Nutrition in Older Adults. Patricia P. Barry, MD, MPH Merck Institute of Aging & Health and George Washington University Public Health and Nutrition in Older Adults Patricia P. Barry, MD, MPH Merck Institute of Aging & Health and George Washington University Public Health and Nutrition in Older Adults n Overview of nutrition

More information

Secular increases in waist ± hip ratio among Swedish women

Secular increases in waist ± hip ratio among Swedish women International Journal of Obesity (1998) 22, 1116±1120 ß 1998 Stockton Press All rights reserved 0307±0565/98 $12.00 http://www.stockton-press.co.uk/ijo Secular increases in waist ± hip ratio among Swedish

More information

Health Care & Human Care

Health Care & Human Care Health Care & Human Care The most ideal and convenient system for health care The revolutionary technology in BIA has created a new standard Leading novel technology provides the accurate results you can

More information

Anthropometry: What Can We Measure & What Does It Mean?

Anthropometry: What Can We Measure & What Does It Mean? Anthropometry: What Can We Measure & What Does It Mean? Anne McTiernan, MD, PhD Fred Hutchinson Cancer Research Center Seattle, Washington, U.S.A. I have no conflicts to disclose. Anthropometry in Human

More information

Creatinine Height Index in a Sample of Japanese Adults under Sedentary Activities. Tsuguyoshi SuzuKI, Tsukasa INAOKA, and Toshio KAWABE1

Creatinine Height Index in a Sample of Japanese Adults under Sedentary Activities. Tsuguyoshi SuzuKI, Tsukasa INAOKA, and Toshio KAWABE1 J. Nutr. Sci. Vitaminol., 30, 467-473, 1984 Creatinine Height Index in a Sample of Japanese Adults under Sedentary Activities Tsuguyoshi SuzuKI, Tsukasa INAOKA, and Toshio KAWABE1 Department of Human Ecology,

More information

Results of the physical activity assessments from Boukje Groot

Results of the physical activity assessments from Boukje Groot Results of the physical activity assessments from Boukje Groot Student: Suzanne Doolaard Studentnumber: 130599018 Teacher: Nuno Pimenta Course: Exercise Testing and Prescription Date: 02-05-2014 Table

More information

Calorie Restriction in Overweight Seniors: Do Benefits Exceed Potential Risks?

Calorie Restriction in Overweight Seniors: Do Benefits Exceed Potential Risks? Calorie Restriction in Overweight Seniors: Do Benefits Exceed Potential Risks? Julie L. Locher, PhD Director, Translational Nutrition and Aging Program Professor, Departments of Medicine and Health Care

More information

Sports Performance 15. Section 3.2: Body Composition

Sports Performance 15. Section 3.2: Body Composition Sports Performance 15 Section 3.2: Body Composition The relative percentage of muscle, fat, bone and other tissue in the body Our primary concern in this unit is body fatness and how it pertains to athletic

More information

WHO Child Growth Standards

WHO Child Growth Standards WHO Child Growth Standards Implications for everyday practice Dr Mercedes de Onis Department of Nutrition World Health Organization Geneva, Switzerland 1 year 2 years 3 years 4 years 5 years WHO Child

More information

Diploma in Sports & Exercise Nutrition Part I

Diploma in Sports & Exercise Nutrition Part I Diploma in Sports & Exercise Nutrition Part I Lesson 10 Master Strategies in Fat Loss & Muscle Gain Presented by: Laura Kealy Course Educator MSc. ANutR Today s Lesson Master Strategies for Fat loss and

More information

Protein Energy Malnutrition and Skeletal Muscle Wasting at Diagnosis and After Induction of Remission Chemotherapy in Childhood ALL

Protein Energy Malnutrition and Skeletal Muscle Wasting at Diagnosis and After Induction of Remission Chemotherapy in Childhood ALL Protein Energy Malnutrition and Skeletal Muscle Wasting at Diagnosis and After Induction of Mohammed E. Younis*, Morouj H. Al-ani** *Dept. of Pediatrics, College of Medicine, University of Tikrit. **Dept.

More information

Body composition assessment methods

Body composition assessment methods 2018; 3(1): 484-488 ISSN: 2456-0057 IJPNPE 2018; 3(1): 484-488 2018 IJPNPE www.journalofsports.com Received: 15-11-2017 Accepted: 16-12-2017 Rohit Bhairvanath Adling Director of Physical Education, Dadapatil

More information

High Body Fat and Visceral Fat in Type II Diabetes Mellitus: a review of one hundred patients at Fatima Memorial Hospital

High Body Fat and Visceral Fat in Type II Diabetes Mellitus: a review of one hundred patients at Fatima Memorial Hospital ORIGINAL ARTICLE High Body Fat and Visceral Fat in Type II Diabetes Mellitus: a review of one hundred patients at Fatima Memorial Hospital AIJAZ ZEESHAN KHAN CHACHAR, NAZEEFA JAVED, ARZINDA FATIMA, KASHIF

More information

Developing nations vs. developed nations Availability of food contributes to overweight and obesity

Developing nations vs. developed nations Availability of food contributes to overweight and obesity KNH 406 1 Developing nations vs. developed nations Availability of food contributes to overweight and obesity Intake Measured in kilojoules (kj) or kilocalories (kcal) - food energy Determined by bomb

More information

NJPPP RESEARCH ARTICLE WAIST-RELATED ANTHROPOMETRIC MEASURES: SIMPLE AND USEFUL PREDICTORS OF CORONARY HEART DISEASE IN WOMEN

NJPPP RESEARCH ARTICLE WAIST-RELATED ANTHROPOMETRIC MEASURES: SIMPLE AND USEFUL PREDICTORS OF CORONARY HEART DISEASE IN WOMEN NJPPP National Journal of Physiology, Pharmacy & Pharmacology DOI: 10.5455/njppp.2015.5.010820142 http://www.njppp.com/ RESEARCH ARTICLE WAIST-RELATED ANTHROPOMETRIC MEASURES: SIMPLE AND USEFUL PREDICTORS

More information

The three things every surgeon should tell their obese patient

The three things every surgeon should tell their obese patient Bariatric and Private Practice Dietitian The three things every surgeon should tell their obese patient Chermside Medical Complex Holy Spirit Northside Private Hospital Red Hill Doctors Surgery Obesity

More information

BMI. Summary: Chapter 7: Body Weight and Body Composition. Obesity Trends

BMI. Summary: Chapter 7: Body Weight and Body Composition. Obesity Trends Chapter 7: Body Weight and Body Composition Obesity Trends What Is a Healthy Body Weight? There is no ideal body weight for each person, but there are ranges for a healthy body weight A healthy body weight

More information

Stefan Kolimechkov Expert in Physical Education and Sport

Stefan Kolimechkov Expert in Physical Education and Sport Stefan Kolimechkov Expert in Physical Education and Sport ABSTRACT Anthropometry is the single most universally applicable, inexpensive, and non-invasive method available to assess the size, proportion

More information

ISPUB.COM. D Adeyemi, O Komolafe, A Abioye INTRODUCTION

ISPUB.COM. D Adeyemi, O Komolafe, A Abioye INTRODUCTION ISPUB.COM The Internet Journal of Biological Anthropology Volume 2 Number 2 Variations In Body Mass Indices Among Post-Pubertal Nigerian Subjects With Correlation To Cormic Indices, Mid- Arm Circumferences

More information

Maternal Body Composition & Breastmilk Fat Content Among Lactating Mothers

Maternal Body Composition & Breastmilk Fat Content Among Lactating Mothers Maternal Body Composition & Breastmilk Fat Content Among Lactating Mothers CeSSIAM, Quetzaltenango, Guatemala Ruijia Niu, Tufts University MPH Candidate Outline Projects & Training Method Results Brief

More information

What Is Body Composition?

What Is Body Composition? Chapter Six What Is Body Composition? Body composition is the body s relative amounts of fat mass and fat-free mass Body fat includes two categories: Essential fat is crucial for normal body functioning

More information

Fetal and Infant Growth and Glucose Tolerance in the Hertfordshire Cohort Study

Fetal and Infant Growth and Glucose Tolerance in the Hertfordshire Cohort Study Fetal and Infant Growth and Glucose Tolerance in the Hertfordshire Cohort Study A Study of and Born Between 1931 and 1939 David I.W. Phillips, Peter Goulden, Holly E. Syddall, Avan Aihie Sayer, Elaine

More information

MODULE 5. Adults (18 Years of Age and Older) GUIDE TO ANTHROPOMETRY: A PRACTICAL TOOL FOR PROGRAM PLANNERS, MANAGERS, AND IMPLEMENTERS 121

MODULE 5. Adults (18 Years of Age and Older) GUIDE TO ANTHROPOMETRY: A PRACTICAL TOOL FOR PROGRAM PLANNERS, MANAGERS, AND IMPLEMENTERS 121 (18 Years of Age and Older) 121 INTRODUCTION What Does this Module Cover? Module focuses on anthropometry for non-pregnant, non-postpartum adults (18 years of age and older), including older adults. The

More information

Body Weight and Body Composition

Body Weight and Body Composition Body Weight and Body Composition Chapter 7 Obesity Trends What Is a Healthy Body Weight? There is no ideal body weight for each person, but there are ranges for a healthy body weight A healthy body weight

More information

Dangers of Being Overweight and Underweight

Dangers of Being Overweight and Underweight Health Services: Unit 5 Chest and Abs 5.4 Body Composition and Diabetes Combination of percentage body fat and lean body tissue (muscle) Essential Fat Non- Essential Fat Dangers of Being Overweight and

More information

Consideration of Anthropometric Measures in Cancer. S. Lani Park April 24, 2009

Consideration of Anthropometric Measures in Cancer. S. Lani Park April 24, 2009 Consideration of Anthropometric Measures in Cancer S. Lani Park April 24, 2009 Presentation outline Background in anthropometric measures in cancer Examples of anthropometric measures and investigating

More information

A study of waist hip ratio in identifying cardiovascular risk factors at Government Dharmapuri College Hospital

A study of waist hip ratio in identifying cardiovascular risk factors at Government Dharmapuri College Hospital Original Research Article A study of waist hip ratio in identifying cardiovascular risk factors at Government Dharmapuri College Hospital M. Arivumani * Assistant Professor of General Medicine, Government

More information

Artificial Neural Network: A New Approach for Prediction of Body Fat Percentage Using Anthropometry Data in Adult Females

Artificial Neural Network: A New Approach for Prediction of Body Fat Percentage Using Anthropometry Data in Adult Females Artificial Neural Network: A New Approach for Prediction of Body Fat Percentage Using Anthropometry Data in Adult Females Sugandha Mehandiratta 1 Priyanka Singhal 2 A.K. Shukla 3 and Rita Singh Raghuvanshi

More information

Fitness A complete approach to Health. Creating Balance

Fitness A complete approach to Health. Creating Balance Fitness A complete approach to Health Creating Balance Fitness Learning Outcomes Phase 1 1. Explain the difference between Fat body weight and Lean body weight and the importance of balance. 2. Categorize

More information

NFL PLAY 60 FITNESSGRAM Project

NFL PLAY 60 FITNESSGRAM Project Welcome to Part 4 of our 6-part Welcome Series. I m Julie Stefko, Associate Director for the NFL PLAY 60 FITNESSGRAM project. In this segment, we will take a closer look into the specific FG test items

More information

Interpretation Guide. What you are made of? Find out with - Vital Body Scan NZ Ltd. Mobile Body Composition Analysis

Interpretation Guide. What you are made of? Find out with - Vital Body Scan NZ Ltd. Mobile Body Composition Analysis Interpretation Guide Vital Body Scan NZ Ltd What you are made of? Find out with - Vital Body Scan NZ Ltd Mobile Body Composition Analysis Interpreting your results Total Body Water (TBW) TBW is all the

More information

Obesity. Picture on. This is the era of the expanding waistline.

Obesity. Picture on. This is the era of the expanding waistline. Feature Raffles HealthNews The Big Raffles HealthNews Feature Picture on Obesity This is the era of the expanding waistline. Why is obesity such a big problem? Is it just a personal matter? What do the

More information

Understanding Body Composition

Understanding Body Composition PowerPoint Lecture Outlines 7 Understanding Body Composition Objectives Define body composition. Explain why the assessment of body size, shape, and composition is useful. Explain how to perform assessments

More information