Abstract
Background
The purpose of this study was to examine the relation between daily steps and aerobic steps, and anthropometric variables, using the waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR).
Methods
The participants in this cross-sectional study were taken the measurements of by a trained anthropologist and then instructed to wear an Omron pedometer for seven consecutive days. A series of statistical tests (Mann-Whitney U test, Kruskal-Wallis ANOVA, multiple comparisons of z’ values and contingency tables) was performed in order to assess the relation between daily steps and aerobic steps, and anthropometric variables.
Results
A total of 507 individuals (380 females and 127 males) participated in the study. The average daily number of steps and aerobic steps was significantly lower in the individuals with risky WHR and WHtR as compared to the individuals with normal WHR (P=0.005) and WHtR (P=0.000). A comparison of age and anthropometric variables across aerobic steps activity categories was statistically significant for all the studied parameters. According to the contingency tables for normal steps, there is a 5.75x higher risk in the low-activity category of having WHtR>0.50 as compared to the high-activity category.
Conclusions
Both normal and aerobic steps are significantly associated with central obesity and other body composition variables. This result is important for older people, who are more likely to perform low-intensity activities rather than moderate- or high-intensity activities. Our results also indicate that risk of having WHtR>0.50 can be reduced by almost 6x by increasing daily steps over 8985 steps per day.
Keywords: Pedometer, Physical activity, Omron, WHR, WHtR
Introduction
Obesity, and in particular excessive visceral fat, is associated with a number of health problems, including an increased risk of cardiovascular diseases, type-2 diabetes, some types of cancer and premature death (1–4). The number of overweight and/or obese individuals has been on the rise in Euro-American society, but also in developing countries such as Mexico or China (5–7). According to a report from the World Health Organisation, approximately 2.3 billion adults will become overweight, and more than 700 million will become obese by 2015. Thus, prevention of over-weight and obesity has become an important field of research (8).
The primary cause of obesity is an energy imbalance between the calories that are consumed and the calories that are expended. Recent systematic reviews show that obese and overweight individuals could reduce their body weight by increasing their physical activity (9–15). As a result of increas ing interest in objective monitoring of daily physical activity, several assessments of physical activity have been developed. Of these methods, the pedometer provides a low-cost and user-friendly assessment of physical activity in terms of the number of steps (16–19). Until recently, however, there has been a limitation of pedometers in that they are not able to record the intensity of the physical activity. Since physical activity recommendations require the physical activity to be of at least moderate intensity for the prevention and treatment of obesity, pedometers should also provide information about the intensity of physical activity (8, 20–22). On the basis of recent studies we may assume that moderate-intensity walking (walking at 3 METs) appears approximately equal to at least 100 step.min-1 (8, 21).
The aim of our study was to observe the relations between the number of daily steps and aerobic steps, and anthropometric variables, using the waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR). The main reason for choosing the Omron pedometer with the ‘aerobic steps’ function to conduct this study was its widespread use at the present time. However, there is no researched evidence that would support the claim that stepping rate of minimum 60 steps per minute in a period of over 10 minutes leads to improved health and that it has significant connection to health indicators. Of health indicators, we focused on the WHR and WHtR, because these variables are identified with a number of health problems and are outside the scope of most of the studies dealing with physical activity.
Methods
Subjects
The present study involved 507 adults (380 females and 127 males) native to the Czech Republic, all of them between 16 and 73 years of age (the average age in females being 45.8±13.14 years and 44.4±13.52 years in males). The subjects were recruited via advertisements placed in mass media (radio, television, www pages) in the city of Brno and neighbouring regions in the year 2006. All the subjects had signed a written consent which was archived. The study was approved by the Ethical Committee of the Faculty of Medicine, Masaryk University, Brno.
Anthropometric measurement
All the anthropometric measurements contained in this study were obtained by trained examiners from the subjects when barefoot and in underwear. Body height and body weight were measured to the nearest 0.5 cm and 0.1 kg respectively, using a digital scale (SECA 764, SECA gmbh&co., Hamburg, Germany). The waist and hip circumferences (cW, cH) were measured to the nearest 0.5 cm. The waist circumference was measured at the level of the umbilicus. The waist-to-hip ratio (WHR) was calculated as the circumference of the waist divided by the circumference of the hips, the waist-to-height ratio (WHtR) was calculated as the circumference of the waist divided by body height. The percentage of body fat (%BF) was determined using a Bodystat 1500 MDD body composition analyser.
Physical activity assessment
The subjects involved in the study were instructed to wear a pedometer (Omron HJ-113W-E; Omron Healthcare Co., Ltd., Kyoto, Japan) and to record the total number of steps taken each day. The pedometer was placed either in their trouser pocket or attached to the waistband. The subjects wore the pedometer all day, for seven days, except when sleeping or bathing. The participants were encouraged not to alter their usual physical activity. The pattern of physical activity was based on the number of steps and aerobic steps taken. The pedometer stored the number of aerobic steps in its memory when a step rate of minimum 60 steps per minute in a period of over 10 minutes was performed.
Data treatment and statistical analysis
The walking activity (steps per day) and anthro-pometrical data were evaluated as continuous and categorical variables using the Statistica for Windows software (version 9.0). A P-value of <0.05 was considered to be statistically significant for all the analyses. The data obtained by the pedometer were averaged over seven days. Continuous variables were tested for normality by the Shapiro-Wilk’s test of normality. A non-parametric Mann-Whitney U test was performed to examine the walking activity (averaged steps and aerobic steps per day) in the WHR and WHtR categories. The individuals were divided into the WHR and WHtR categories on the basis of the WHO report. The categories were defined as ‘normal WHR’ (N; WHR<0.90 for men and WHR<0.85 for women) and ‘risky WHR’ (R; WHR>0.90 for men and WHR>0.85 for women) (23), and ‘normal WHtR’ (N; WHtR <0.50) and ‘risky WHtR’ (R; WHtR >0.50) (24). A non-parametric Kruskal-Wallis ANOVA and multiple comparisons of z’ values were performed in order to examine the body composition variables in the three groups of physical activity level. The individuals were categorised into three different groups of physical activity level using the 25th and 75th percentiles for the distribution. In the low-activity level category, the individuals took fewer than 5101 steps per day, in the moderate-activity level category 5101-8985 steps per day and in the high-activity level more than 8985 steps per day. In aerobic steps, the individuals taking fewer than 140 aerobic steps per day were placed in the low-activity level category, the individuals taking 140-1500 aerobic steps per day in the moderate-activity level category, and the individuals taking more than 1500 aerobic steps per day in the high-activity level. The data in the text and in the tables are presented as the mean and standard deviations (mean±sd). The contingency tables were used to visualise the relative amount of individuals across the created categories.
Results
Table I. shows the daily number of steps and aerobic steps in the WHR and WHtR categories. The average daily number of steps and aerobic steps was 6758±2874 and 966±1399 respectively for the subjects with risky WHR, which is significantly less than 7809±2942 steps and 1337±1612 aerobic steps performed by the subjects with normal WHR (P=0.00). Similarly, the participants with risky WHtR took 6877±2788 steps and 977±1351 aerobic steps per day, which is significantly less than 8804±3139 steps and 1824±1930 aerobic steps for the subjects with normal WHtR (P=0.00).
Table 1.
Variable | WHR | WHtR | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Normal (n=228) | Risky (n=279) | Mann-Whitney U test | Normal (n=93) | Risky (n=414) | Mann-Whitney U test | |||||||
Mean | sd | Mean | sd | U | P value | Mean | sd | Mean | sd | U | P value | |
Steps/day | 7809 | 2942 | 6758 | 2874 | 25050 | 0.00 | 8804 | 3139 | 6877 | 2788 | 12268 | 0.00 |
Aerobic steps/day | 1337 | 1612 | 966 | 1399 | 26080 | 0.00 | 1824 | 1930 | 977 | 1351 | 13271 | 0.00 |
Mann-Whitney U test Mann-Whitney U test performed to examine walking activity among the WHR and WHtR categories. WHR categories - Normal (WHR<0.90 for men and WHR<0.85 for women) and Risky (WHR>0.90 for men and WHR>0.85 for women) (23), WHtR categories - Normal (WHtR <0.50) and Risky (WHtR >0.50) (24)
A comparison of age and anthropometric variables across physical activity categories is shown in Table 2 and a related statistical analysis is shown in Table 3. A multiple comparison of z’ values revealed that with regard to the age of the participants, there are significant differences between low-activity and high-activity categories both in normal and aerobic steps. For normal steps the individuals in the high-activity category are on average six years younger than the individuals in the low-activity category, and for aerobic steps the individuals in the high-activity category are on average five years younger as compared to the low-activity category. The individuals in the high-activity category of normal steps have on average 34% body fat and weight of 84 kg, a mean BMI of 30 kg/m2, a mean WHR of 0.86 and a mean WHtR of 0.57, which are significantly lower values in comparison with the average of 40% body fat, weight of 101 kg, a mean BMI of 36 kg/m2, a mean WHR of 0.92 and a mean WHtR of 0.66 in the low-activity category (P<0.05). The only parameter that gives no statistically significant result across the normal steps activity categories is body height.
Table 2.
Variable | Steps | |||||
---|---|---|---|---|---|---|
Low (n=126) | Moderate (n=254) | High (n=127) | ||||
Mean | sd | Mean | sd | Mean | sd | |
Age | 49 | 13 | 45 | 13 | 43 | 13 |
%BF | 40.5 | 10.9 | 37.5 | 10.4 | 34.0 | 10.6 |
Height | 167.3 | 10.2 | 167.3 | 8.6 | 168.0 | 8.4 |
Weight | 100.9 | 26.6 | 91.3 | 21.5 | 84.0 | 20.0 |
BMI | 36.1 | 9.0 | 32.6 | 7.2 | 29.7 | 6.5 |
WHR | 0.92 | 0.10 | 0.88 | 0.10 | 0.86 | 0.10 |
WHtR | 0.66 | 0.12 | 0.60 | 0.11 | 0.57 | 0.11 |
Variable | Aerobic steps | |||||
Low (n=126) | Moderate (n=254) | High (n=127) | ||||
Mean | sd | Mean | sd | Mean | sd | |
Age | 47 | 13 | 47 | 13 | 42 | 14 |
%BF | 40.0 | 10.8 | 38.1 | 10.1 | 33.3 | 11.1 |
Height | 167.2 | 9.9 | 166.5 | 8.5 | 169.6 | 8.7 |
Weight | 99.1 | 27.3 | 90.8 | 20.7 | 86.8 | 22.0 |
BMI | 35.4 | 8.8 | 32.8 | 7.3 | 30.1 | 7.1 |
WHR | 0.90 | 0.10 | 0.88 | 0.10 | 0.87 | 0.10 |
WHtR | 0.65 | 0.12 | 0.61 | 0.11 | 0.57 | 0.10 |
Categorization into three groups of activity level; low = low-activity level category (< 5101 steps per day; < 140 aerobic steps per day), moderate = moderate-activity level category (5101-8985 steps per day; 140-1500 aerobic steps per day), high = high-activity level category (> 8985 steps per day; > 1500 aerobic steps per day)
Table 3.
Variable | Steps | Aerobic Steps | ||||
---|---|---|---|---|---|---|
Low | Moderate | Low | Moderate | |||
Age | Moderate | 2.47* | Moderate | 0.09 | ||
High | 3.69* | 1.79 | High | 2.69* | 3.20* | |
%BF | Moderate | 2.40* | Moderate | 1.72 | ||
High | 4.74* | 3.08* | High | 4.84* | 3.87* | |
Height | Moderate | 0.01 | Moderate | 0.15 | ||
High | 0.7 | 0.81 | High | 2.41* | 2.94* | |
Weight | Moderate | 3.13* | Moderate | 2.43* | ||
High | 5.46* | 3.18* | High | 3.87* | 2.3 | |
BMI | Moderate | 3.34* | Moderate | 2.47* | ||
High | 6.27* | 3.90* | High | 5.21* | 3.55* | |
WHR | Moderate | 3.35* | Moderate | 2.23 | ||
High | 4.05* | 1.33 | High | 2.85* | 1.6 | |
WHtR | Moderate | 3.98* | Moderate | 2.79* | ||
High | 6.29* | 3.29* | High | 5.34* | 3.38* |
Categorization into three groups of activity level; low = low-activity level category (< 5101 steps per day; < 140 aerobic steps per), moderate = moderate-activity level category (5101-8985 steps per day; 140-1500 aerobic steps per day), high = high-activity level category (> 8985 steps per day; > 1500 aerobic steps per day). * P<0.05
As regards aerobic steps, the results were statistically significant in all the studied parameters. The individuals in the high-activity category have on average 33% body fat, their mean height is 170 cm and mean weight 87 kg, they have a mean BMI of 30 kg/m2, a mean WHR of 0.87 and a mean WHtR of 0.57. These values are significantly lower when compared with the average of 40% body fat, height of 167 cm, weight of 99 kg, a mean BMI of 35 kg/m2, a mean WHR of 0.90 and a mean WHtR of 0.65 in the low-activity category (P<0.05).
The distribution of the participants across all the categories (physical activity, WHR, WHtR) is shown in the contingency table (Table 4). This table shows that in the group with low-activity in daily steps, the ratio between the individuals with normal WHR and those with risky WHR is 1:2.07, in the group with moderate-activity this ratio is 1:1.15 and in the group with high-activity it is 1:0.84. The risk of centralised obesity increases indirectly with the amount of steps taken. In the number-of-steps categories [>8985], [8985-5101], [<5101] the risk of central obesity is 0.84:1.15:2.07, based on the relative frequencies of the participants with normal and risky WHR, which means that the risk is 2.5 times higher in the low-activity category as compared to the high-activity category.
Table 4.
Variable | WHR | Variable | WHR | ||||
---|---|---|---|---|---|---|---|
Steps | Normal | Risky | Total | Aerobic Steps | Normal | Risky | Total |
Low | 41 | 85 | 126 | Low | 44 | 82 | 126 |
Moderate | 118 | 136 | 254 | Moderate | 115 | 139 | 254 |
High | 69 | 58 | 127 | High | 69 | 58 | 127 |
Total | 228 | 279 | 507 | Total | 228 | 279 | 507 |
Variable | WHtR | Variable | WHtR | ||||
Steps | Normal | Risky | Total | Aerobic Steps | Normal | Risky | Total |
Low | 9 | 117 | 126 | Low | 13 | 113 | 126 |
Moderate | 45 | 209 | 254 | Moderate | 43 | 211 | 254 |
High | 39 | 88 | 127 | High | 37 | 90 | 127 |
Total | 93 | 414 | 507 | Total | 93 | 414 | 507 |
Categorization into three groups of activity level; low = low-activity level category (< 5101 steps per day; < 140 aerobic steps per day), moderate = moderate-activity level category (5101-8985 steps per day; 140-1500 aerobic steps per day), high = high-activity level category (> 8985 steps per day; > 1500 aerobic steps per day). WHR and WHtR categories defined as; WHR categories - Normal (WHR<0.90 for men and WHR<0.85 for women), Risky (WHR>0.90 for men and WHR>0.85 for women) (23), WHtR categories - Normal (WHtR <0.50) and Risky (WHtR >0.50) (24)
The ratio between individuals with normal WHtR and individuals with risky WHtR in the group with low-activity in daily steps is 1:13, in the group with moderate-activity the ratio is 1:4.64 and in the group with high-activity it is 1:2.26.
The risk of centralised obesity increases indirectly with the amount of steps taken. In the number-of-steps categories [>8985], [8985-5101], [<5101], the risk of central obesity is 2.26:4.64:13, based on the relative frequencies of the participants with normal and risky WHtR, which means that the risk is 5.8 times higher in the low-activity category as compared to the high-activity category.
The situation in the aerobic steps category is similar. In the low-activity group, the ratio between the individuals with normal WHR and the individuals with risky WHR is 1:1.86, in the moderate-activity group this ratio is 1:1.21 and in the high-activity group it is 1:0.84. The risk of centralised obesity increases indirectly with the amount of aerobic steps taken. In the number-of-aerobic steps categories [>1500], [1500-140] [<140], the risk of central obesity is 0.84:1.21:1.86, based on the relative frequencies of the participants with normal and risky WHR, which means that the risk is 2.21 times higher in the low-activity category as compared to the high-activity category.
The ratio between the individuals with normal WHtR and the individuals with risky WHtR in the group with low-activity in daily aerobic steps is 1:8.69, in the group with moderate-activity the ratio is 1:4.91, and in the group with high-activity it is 1:2.43.
The risk of centralised obesity increases indirectly with the amount of aerobic steps taken. In the number-of-aerobic-steps categories [>1500], [1500-140] [<140], the risk of central obesity is 2.43:4.91:8.69, based on the relative frequencies of the participants with normal and risky WHtR, which means that the risk is 3.58 times higher in the low-activity category as compared to the high-activity category.
Discussion
In this study we examined the relation between daily steps and aerobic steps, and anthropometric variables, using the waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR). We found out that normal and aerobic steps are significantly associated with central obesity and other body composition variables.
The relation between BMI categories and daily steps has been examined in a number of studies to date (25–28). Recently, the stepping rate has been the subject of studies attempting to ‘translate’ moderate physical activity into a number of steps. The aim of this study was to establish whether aerobic steps (as defined by the Omron pedometer) have a biological merit. Another purpose of this study was to determine the relation between the WHR and WHtR categories and the number of steps taken, as these very important indices of central obesity have been outside the scope of most of the studies dealing with physical activity.
The findings of the present study demonstrate that the number of steps and aerobic steps is significantly higher in individuals classified as having ‘normal’ WHR and WHtR (WHR<0.90 for men, WHR<0.85 for women and WHtR <0.50) than in individuals classified as having ‘risky’ WHR and WHtR (WHR>0.90 for men, WHR>0.85 for women and WHtR >0.50) (23–24). Because the results were similar (in regard of statistical significance values) in both normal- and aerobic-steps categories, it can be suggested that aerobic steps have the same predictive value as normal steps. The individuals, whose body parameters fit into the risk categories, should be encouraged to increase their physical activity regardless of the intensity of the activity. However, this result runs contrary to the study of Yoshioka et al. whose study has shown that the amount of vigorous physical activity is an important predictor of normal weight conditions rather than the moderate-intensity physical activity. In their study, the individuals who performed moderate physical activity for more than 30 minutes per day showed a significantly lower BMI (22.4±0.2) than the rest (23.0±0.1). Moreover, the individuals who were in the 4th and 5th quintile of moderate PA and 5th quintile of vigorous PA showed a lower BMI than the rest (29). This finding was additionally confirmed by the study of Ayabe et al. in which the overweight/obese individuals spent a significantly shorter time performing physical activity at >100 steps min-1, especially at >130 steps min-1, as compared to the normal-weight individuals (8). It seems that a stepping rate higher than 60 steps per minute for a minimum of ten minutes is necessary to demonstrate the importance of intensity of physical activity in the prediction of obesity.
The studies mentioned above assessed obesity in terms of the BMI. However, it is in particular excessive visceral fat and central obesity that is associated with an increased risk of cardiovascular diseases and mortality (30–32). Relative fat distribution, as measured by the ratio of waist circumference to hip circumference (WHR), was popular for many years and still is a good predictor of health risk (33–37). Nevertheless, based on recent studies, it is the waist-to-height ratio (WHtR) which seems to have a closer relation to health outcomes (38). In this study we have proven that both the WHR and WHtR have statistically significant relations to the pedometer data. An important connection between the WHR and daily steps has been described in middle-aged women. Women classified as inactive (<6000 steps d-1) or somewhat active (6000—9999 steps d-1) had more total fat and more centrally located fat (WHR=0.87 in inactive and WHR=0.80 in somewhat active) than those who averaged 10,000 or more steps each day (average WHR=0.75) (39). In this study, the individuals in the low-activity category have a mean WHR of 0.92, those in the moderate-activity category 0.88 and in the high-activity category the mean WHR is 0.86. This tendency is identical with that found in the study by Thompson et al., although the WHR is higher in all the physical activity categories. This is probably caused by the fact that in the present study the average step count is lower across all the physical activity categories (low<5101 steps d-1, moder-ate=5101-8985 steps d-1 and high>8985 steps d-1). In addition, the present study also included males, who generally have a higher WHR than women (40).
Based on the contingency tables, it could be said that the best discriminating variables are the WHtR and daily steps. The risk of central obesity, defined as WHtR>0.50, was 5.8 times higher in the low-activity category as compared to the high-activity category of normal steps. For example, in the WHR category the risk of central obesity was 2.5 times higher in the low-activity category as compared to the high-activity category of normal steps, which is half of that found in the WHtR category.
The present study has certain limitations, however. It is based on a cross-sectional design, and therefore it is unclear whether the increase in daily steps improves the degree of obesity. Because pedometers were used, it was not possible to evaluate either upper-arm or water-related physical activity. The stepping rate was not recorded either. The steps taken by the participants were evaluated by the pedometer either as normal or aerobic. Another problem is that the stepping rate is affected by step length (22). Thus, in individuals of lower height, as well as in children, a faster stepping rate might be required to achieve significant differences.
Conclusion
The findings of this study demonstrate that aerobic steps as defined by the Omron pedometer have the same predictive value as normal steps. Both normal and aerobic steps are significantly associated with central obesity and other body composition variables. These findings are particularly important for older people, who are more likely to perform low-intensity physical activities rather than moderate- or high-intensity physical activities. In addition, the WHtR was identified as a suitable variable for further research. According to the contingency tables for normal steps, there is a 5.75 times higher risk of having WHtR>0.50 in the low-activity category as compared to the high-activity category. Basically it means that risk of having WHtR>0.50, which is associated with number of health problems, can be reduced by almost 6x by increasing daily steps over 8985 steps per day.
Ethical considerations
Ethical issues (Including plagiarism, Informed Consent, misconduct, data fabrication and/or falsi fication, double publication and/or submission, redundancy, etc.) have been completely observed by the authors.
Acknowledgments
The authors would like to thank all the participants volunteering for this study — we highly appreciate their cooperation and devoting their time. The authors would also like to thank the Faculty of Medicine, Masaryk University that provided valuable support for this work. The authors declare that there is no conflict of interest.
References
- Poirier P, Giles TD, Bray GA, Hong Y, Stern JS, Pi-Sunyer FX, et al. (2006). Obesity and Cardiovascular Disease: Pathophysiology, Evaluation, and Effect of Weight Loss. Circulation, 113(6): 898–918. [DOI] [PubMed] [Google Scholar]
- Wimalawansa SJ (2013). Visceral adiposity and cardiometabolic risks: epidemic of abdominal obesity in North America. Res Rep Endocr Disord, 3: 17–30. [Google Scholar]
- You T, Nicklas BJ, Ding J, Penninx BWJH, Goodpaster BH, Bauer DC, et al. (2008). The Metabolic Syndrome Is Associated With Circulating Adipokines in Older Adults Across a Wide Range of Adiposity. J Gerontol A BiolSci Med Sci, 63(4): 414–419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Radzevičiene L, Ostrauskas R (2013). Body mass index, waist circumference, waist-hip ratio, waist-height ratio and risk for type 2 diabetes in women: A case-control study. Public Health, 127(3): 241–246. [DOI] [PubMed] [Google Scholar]
- Wang Y, Lobstein T (2006). Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes, 1: 11–25. [DOI] [PubMed] [Google Scholar]
- Popkin BM, Adair LS, Shu Wen Ng (2012). Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev, 70(1): 3–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hjartaker A, Langseth H, Weiderpass, E (2008). Obesity and diabetes epidemics: cancer repercussions. Adv Exp Med Biol, 630: 72–93. [DOI] [PubMed] [Google Scholar]
- Ayabe M, Aoki J, Kumahara H, Yoshimura E, Matono S, Tobina T, et al. (2011). Minute-by-minute stepping rate of daily physical activity in normal and overweight/obese adults. Obes Res Clin Pract, 5(2): e151–156. [DOI] [PubMed] [Google Scholar]
- Jakicic JM, Otto AD, (2005). Physical activity considerations for the treatment and prevention of obesity. Am J Clin Nutr, 82(1): 226S–229S [DOI] [PubMed] [Google Scholar]
- Cordain L, Gotschall R, Eaton S (1998). Physical activity, energy expenditure and fitness: An evolutionary perspective. Int J Sports Med, 19(5): 328–335. [DOI] [PubMed] [Google Scholar]
- Eaton S, Eaton S (2003). An evolutionary perspective on human physical activity: implications for health. Comp Biochem Physiol A Physiol, 136(1): 153–159. [DOI] [PubMed] [Google Scholar]
- Hansen KC, Zhang ZM, Gomez T, Adams AK, Schoeller DA (2007). Exercise increases the proportion of fat utilization during short-term consumption of a high-fat diet. Am J Clin Nutr, 85(1): 109–116. [DOI] [PubMed] [Google Scholar]
- Slentz CA, Duscha BD, Johnson JL, Ketchum K, Aiken LB, Samsa GP, et al. (2004). Effects of the Amount of Exercise on Body Weight, Body Composition, and Measures of Central Obesity: STRRIDE--A Randomized Controlled Study. Arch Intern Med, 164(1): 31–39. [DOI] [PubMed] [Google Scholar]
- You TJ, Nicklas BJ (2008). Effects of Exercise on Adipokines and the Metabolic Syndrome. Curr Diabetes Rep, 8(1): 7–11. [DOI] [PubMed] [Google Scholar]
- Chang-Ho H, Wi-Young S (2012). Effects of Combined Exercise Training on Body Composition and Metabolic Syndrome Factors. Iran J Public Health, 41(8): 20–26. [PMC free article] [PubMed] [Google Scholar]
- Haskell WL, Lee IM, Pate RP, Powell KE, Blair SN, Franklin BA, Macera CA, Heath GW, Thompson PD, Bauman A (2007). Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation, 116(9): 1081–1093. [DOI] [PubMed] [Google Scholar]
- Pate RR, Pratt M, Blair SN, Haskell WL, Macera CA, Bouchard C, et al. (1995). Physical Activity and Public Health - A Recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA, 273(5): 402–407. [DOI] [PubMed] [Google Scholar]
- Tudor-Locke C (2002). Taking Steps toward Increased Physical Activity: Using Pedometers To Measure and Motivate. Res Digest, 17(3): 1–8. [Google Scholar]
- Welk GJ, Differding JA, Thompson RW, Blair SN, Dziura J, Hert P (2000). The utility of the Digi-Walker step counter to assess daily physical activity patterns. Med Sci Sports Exerc, 32(9): S481–488. [DOI] [PubMed] [Google Scholar]
- Tudor-Locke C, Camhi SM, Leonardi C, Johnson WD, Katzmarzyk PT, Earnest CP, et al. (2011). Patterns of adult stepping cadence in the 2005–2006 NHANES. Prev Med, 53(3): 178–181. [DOI] [PubMed] [Google Scholar]
- Marshall SJ, Levy SS, Tudor-Locke CE, Kolkhorst FW, Wooten KM, Ji M, et al. (2009). Translating Physical Activity Recommendations into a Pedometer-Based Step Goal: 3000 Steps in 30 Minutes. Am J Prev Med, 36(5): 410–415. [DOI] [PubMed] [Google Scholar]
- Rowe DA, Welk GJ, Heil DP, Mahar MT, Kemble CD, Calabrá MA, et al. (2011). Stride rate recommendations for moderate-intensity walking. Med Sci Sports Exerc, 43(2): 312–318. [DOI] [PubMed] [Google Scholar]
- World Health Organization (2011). Waist Circumference and Waist-hip Ratio: Report of a WHO Expert Consultation, Geneva, 8–11 December, 2008. Geneva, Switzerland, pp. 8–11. [Google Scholar]
- Browning LM, Hsieh SD, Ashwell M (2010). A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev, 23(02): 247–269. [DOI] [PubMed] [Google Scholar]
- Clemes S, Hamilton S, Lindley M (2008). Four-week pedometer-determined activity patterns in normal-weight, overweight and obese adults. Prev Med, 46(4): 325–330. [DOI] [PubMed] [Google Scholar]
- Tudor-Locke C, Ainsworth B, Whitt M, Thompson R, Addy C, Jones D (2001). The relationship between pedometer-determined ambulatory activity and body composition variables. Int J Obes Relat Metab Disord, 25(11): 1571–1578. [DOI] [PubMed] [Google Scholar]
- Chan CB, Spangler E, Valcour J, Tudor-Locke C (2003). Cross-sectional Relationship of Pedometer-Determined Ambulatory Activity to Indicators of Health. Obesity, 11(12): 1563–1570. [DOI] [PubMed] [Google Scholar]
- Duchečková P, Forejt M, Bienertová-Vašků J (2012). Physical activity and obesity: comparison between different approaches. Anthropologie, 48(3): 231–238. [Google Scholar]
- Yoshioka M, Ayabe M, Yahiro T, Higuchi H, Higaki Y, St-Amand J, et al. (2005). Long-period accelerometer monitoring shows the role of physical activity in overweight and obesity. Int J Obes Relat Metab Disord, 29(5): 502–508. [DOI] [PubMed] [Google Scholar]
- Ibrahim MM (2010). Subcutaneous and visceral adipose tissue: structural and functional differences. Obes Rev, 11(1): 11–18. [DOI] [PubMed] [Google Scholar]
- Mathieu P, Lemieux I, Després J-P (2010). Obesity, Inflammation, and Cardiovascular Risk. Clin Pharmacol Ther, 87(4): 407–416. [DOI] [PubMed] [Google Scholar]
- Carr DB, Utzschneider KM, Hull RL, Kodama K, Retzlaff BM, Brunzell JD, et al. (2004). Intra-abdominal fat is a major determinant of the National Cholesterol Education Program Adult Treatment Panel III criteria for the metabolic syndrome. Diabetes, 53: 2087–2094. [DOI] [PubMed] [Google Scholar]
- Vague J (1956). The degree of masculine differentiation of obesities: a factor determining predisposition to diabetes, atherosclerosis, gout, and uric calculous disease. Am J Clin Nutr, 4(1): 20–34. [DOI] [PubMed] [Google Scholar]
- Welborn TA, Dhaliwal SS, Bennett SA (2003). Waist-hip ratio is the dominant risk factor predicting cardiovascular death in Australia. Med J Aust, 179 (11–12): 580–585. [DOI] [PubMed] [Google Scholar]
- Lapidus L, Bengtsson C, Larsson B, Pennert K, Rybo E, Sjostrom L (1984). Distribution of adipose tissue and risk of cardiovascular disease and death: a 12 year follow up of participants in the population study of women in Gothenburg, Sweden. BMJ, 289(6454): 1257–1261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Larsson B, Svardsudd K, Welin L, Wilhelmsen L, Bjorntorp P, Tibblin G (1984). Abdominal adipose tissue distribution, obesity, and risk of cardiovascular disease and death: 13 year follow up of participants in the study of men born in 1913. BMJ, 288(6428): 1401–1404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bennasar-Veny M, Lopez-Gonzalez AA, Tauler P, Cespedes ML, Vicente-Herrero T, Yanez A, Tomas-Salva M, Aguilo A (2013). Body Adiposity Index and Cardiovascular Health Risk Factors in Caucasians: A Comparison with the Body Mass Index and Others. PLoS ONE, 8(5): e63999. doi: 10.1371/journal.pone.0063999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ashwell M, Gunn P, Gibson S (2012). Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis, Obes Rev, 13(3): 275–286. [DOI] [PubMed] [Google Scholar]
- Thompson DL, Rakow J, Perdue SM (2004). Relationship between accumulated walking and body composition in middle-aged women. Med Sci Sports Exerc, 36(5): 911–914. [DOI] [PubMed] [Google Scholar]
- Wells JCK (2007). Sexual dimorphism of body composition. Best Pract Res Clin Endocrinol Metab, 21(3): 415–430. [DOI] [PubMed] [Google Scholar]