Literature DB >> 24777474

Daily physical activity and physical function in adult maintenance hemodialysis patients.

J C Kim1, B B Shapiro, M Zhang, Y Li, J Porszasz, R Bross, U Feroze, R Upreti, K Kalantar-Zadeh, J D Kopple.   

Abstract

BACKGROUND: Maintenance hemodialysis (MHD) patients reportedly display reduced daily physical activity (DPA) and physical performance. Low daily physical activity and decreased physical performance are each associated with worse outcomes in chronic kidney disease patients. Although daily physical activity and physical performance might be expected to be related, few studies have examined such relationships in MHD patients, and methods for examining daily physical activity often utilized questionnaires rather than activity monitors. We hypothesized that daily physical activity and physical performance are reduced and correlated with each other even in relatively healthier MHD patients.
METHODS: Daily physical activity, 6-min walk distance (6-MWT), sit-to-stand, and stair-climbing tests were measured in 72 MHD patients (32 % diabetics) with limited comorbidities and 39 normal adults of similar age and gender mix. Daily physical activity was examined by a physical activity monitor. The human activity profile was also employed.
RESULTS: Daily physical activity with the activity monitor, time-averaged over 7 days, and all three physical performance tests were impaired in MHD patients, to about 60-70 % of normal values (p < 0.0001 for each measurement). Human activity profile scores were also impaired (p < 0.0001). MHD patients spent more time sleeping or in marked physical inactivity (p < 0.0001) and less time in ≥ moderate activity (p < 0.0001). These findings persisted when comparisons to normals were restricted to men or women separately. After adjustment, daily physical activity correlated with 6-MWT but not the two other physical performance tests. Human activity profile scores correlated more closely with all three performance tests than did DPA.
CONCLUSIONS: Even in relatively healthy MHD patients, daily physical activity and physical performance are substantially impaired and correlated. Whether training that increases daily physical activity or physical performance will improve clinical outcome in MHD patients needs to be examined.

Entities:  

Year:  2014        PMID: 24777474      PMCID: PMC4159490          DOI: 10.1007/s13539-014-0131-4

Source DB:  PubMed          Journal:  J Cachexia Sarcopenia Muscle        ISSN: 2190-5991            Impact factor:   12.910


Daily physical activity is reportedly decreased in maintenance hemodialysis (MHD) patients [1-3]. Most of these investigations employed self-reported questionnaires [1, 2, 4–6], although some studies used activity-measuring instruments that directly measure daily physical activity [7, 8]. These latter studies were usually conducted in small groups [7, 9] or for less than 7 days [9, 10]. Cardiopulmonary exercise capacity, muscle strength, and physical performance (PP) are commonly impaired in MHD patients [11, 12], but relationships of daily physical activity to physical performance are not well-defined. We know of only one study that examined the relationship of daily physical activity to physical performance in MHD patients [13]. Reduced daily physical activity and physical performance are also clinically relevant because they are associated with increased hospitalization rates [14], cardiovascular mortality [2, 15], and all-cause mortality [2, 15, 16] in different patient groups. The relationship of kidney failure to daily physical activity and physical performance is complicated because MHD patients may be physically disabled due to strokes, limb amputations, or other comorbidities. Several studies examined daily physical activity or physical performance in MHD patients who used walking-assistive devices (e.g., canes or walkers) [13, 17]. Thus, it is difficult to ascertain the contribution of comorbidities rather than kidney failure and its treatment per se to MHD patients’ daily physical activity and physical performance. The present study was conducted to examine daily physical activity and physical performance in a comparatively large number of relatively healthy MHD patients who had low degrees of comorbidity and to assess whether relationships exist between their daily physical activity and physical performance. Daily physical activity was assessed by an accelerometer. Healthy adults of similar age and gender distribution served as controls.

Methods

Study participants

Inclusion criteria for MHD patients were as follows: (1) age, ≥18 years; (2) MHD vintage, ≥6 months; (3) MHD treatment, thrice weekly; (4) no hospitalizations during the previous 3 months, except for vascular access repair; (5) no amputations or prostheses in lower extremities; (6) able to ambulate and ability to complete all study protocol tests and wear the physical activity monitor for 10 days; and (7) good compliance to study protocol. Exclusion criteria included the following: (1) any acute infectious or other inflammatory illnesses, (2) active cancer except basal cell carcinoma, (3) myocardial infarction or angina pectoris within the past 12 months, and (4) current heart or lung failure or severe liver disease. All but four MHD patients were recruited from two DaVita Corporation-owned chronic dialysis centers in the South Bay area of Los Angeles County. At the time of study, these two centers were treating 335 MHD patients. In order to increase the number of diabetic MHD patients, four MHD patients with diabetic nephropathy who satisfied the entry criteria were recruited from two additional DaVita chronic dialysis centers. Normal controls were of similar age range and gender distribution and had no known acute or chronic systemic illnesses or disorders of the extremities that could impede mobility or other physical activities. Normal controls were recruited from the South Bay area of Los Angeles County through their church affiliation. To our knowledge, no normal volunteers engaged in regular sports activities. The authors certify that they comply with the ethical guidelines for authorship and publishing of the Journal of Cachexia, Sarcopenia and Muscle. This study was approved by the IRB of the Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center. All subjects gave informed written consent.

Measurements

Clinical characteristics

Clinical and demographic data including the Charlson Comorbidity Index, using the original scoring system [18], were recorded for each patient; scores for age and severe renal failure were included in the Charlson Comorbidity Index [19]. MHD patients underwent blood and serum measurements, described in Tables 1 and 2, which were performed in the DaVita central laboratory (DeLand, Florida). Blood was obtained immediately before a routine mid-week hemodialysis. Blood test results for MHD patients presented here were values obtained monthly and averaged over the 3 months immediately prior to obtaining the other study measurements. Normal controls had blood drawn for a CBC and serum creatinine and albumin which were measured in the Harbor-UCLA Medical Center clinical laboratory. Normal volunteers who had abnormal test results were excluded from the study. Only one normal was excluded, and that was because the daily physical activity measurements from his ActiGraph (see below) were not available.
Table 1

Characteristics of study participants

CharacteristicMHD patients N = 72Normal controls N = 39 p Value
Age (years)52.3 ± 12.951.0 ± 12.70.570
Gender (M/F)49/2323/160.391
Male (%)6859
DM/non-DM23/49
Dialysis vintage (months)53.9 ± 45.0
47.8 (51.4)
Race (%)0.423
 African American29 (40 %)8 (21 %)
 Asian22 (31 %)19 (49 %)
 Caucasian5 (6.9 %)4 (10 %)
 Hispanic15 (21 %)8 (21 %)
 Pacific Islander1 (1.4 %)0
Education levels (%)0.056
 Below high school graduate14 (19 %)2 (5.1 %)
 High school graduate25 (35 %)14 (36 %)
 ≤2 years of college
 ≥2 years of college33 (46 %)23 (59 %)
Charlson comorbidity index5.7 ± 2.7
Weight (kg)78.9 ± 21.574.8 ± 14.50.237
76.4 (25.6)77.0 (18.9)
Body mass index (kg/m2)27.8 ± 5.827.0 ± 3.90.388
26.2 (7.6)27.0 (5.9)
Lean body mass (kg)54.0 ± 15.451.4 ± 11.30.315
51.5 (17.7)49.1 (15.9)
Lean body mass index (kg/m2)18.9 ± 3.418.4 ± 2.70.472
18.3 (3.0)18.2 (3.2)
Body fat (%)28.3 ± 8.527.9 ± 8.10.786
26.8 (11)25.8 (14)
Serum albumin (g/dL)4.1 ± 0.34.1 ± 0.20.606
Serum creatinine (mg/dL)10.5 ± 4.30.84 ± 0.2<0.0001
9.8 (3.8)
nPNA (g protein/kg/day)1.10 ± 0.26
Sp Kt/Vurea1.72 ± 0.40
Serum TIBC (ug/mL)240.6 ± 40.1
Serum ferritin (ng/mL)453.2 ± 313.2
Hemoglobin (g/dL)11.2 ± 0.813.8 ± 1.3<0.0001
11.2 (0.9)14 (2.1)
Serum calcium (mg/dL)9.0 ± 0.7
Serum phosphorus (mg/dL)5.3 ± 1.4
Serum PTH (pg/mL)480 ± 277
456 (305)
Serum bicarbonate (mEq/L)24.5 ± 2.6

Data expressed as mean ± standard deviation. Non-normally distributed data are expressed as median values with the interquartile range (IQR, i.e., the arithmetic difference between the 25th percentile value and the 75th percentile value) shown in parentheses

nPNA normalized protein nitrogen appearance, also referred to as protein catabolic rate; TIBC total iron binding capacity; PTH parathyroid hormone

Table 2

Physical activity and physical performance; MHD patients vs. normal controls

MHD patients N = 72Normal controls N = 39 p Value
Human activity profile
 Maximum activity score82.5 (13.5)92 (5)<0.0001
 Adjusted activity score72 (22)89 (5)<0.0001
Time spent by monitor readings (%)
 Sleep or marked physical inactivity81.9 ± 5.872.8 ± 6.0<0.0001
 Light activity14.4 ± 4.420.0 ± 4.5<0.0001
 ≥ Moderate activity3.7 ± 2.17.2 ± 3.0<0.0001
Average daily physical activity (vector magnitude)
 Daily physical activity (mean of 7 days)395,727 (222,350)636,112 (243,634)<0.0001
 Day of HD327,250 (188,085)
 1-day-post-HD442,720 (246,824)a
 2-days-post HD393,353 (275,123)b
6-min walk distance (meters)441.3 ± 121.9617.6 ± 63.2<0.0001
Sit-to-stand test (no. cycles in 30 s)15.9 ± 5.326.2 ± 5.4<0.0001
Stair-climbing test (seconds per 22 stairs)15.8 ± 11.09.8 ± 1.1<0.0001

Data expressed as mean ± standard deviation. Non-normally distributed data are expressed as median values with the interquartile range (IQR, i.e., the arithmetic difference between the 25th percentile value and the 75th percentile value) shown in parentheses

a1-day-post-HD vs day of HD p = 0.018

b2-days-post-HD vs day of HD p = 0.057; 1-day-post-HD vs 2-days-post-HD p = 0.441

Characteristics of study participants Data expressed as mean ± standard deviation. Non-normally distributed data are expressed as median values with the interquartile range (IQR, i.e., the arithmetic difference between the 25th percentile value and the 75th percentile value) shown in parentheses nPNA normalized protein nitrogen appearance, also referred to as protein catabolic rate; TIBC total iron binding capacity; PTH parathyroid hormone Physical activity and physical performance; MHD patients vs. normal controls Data expressed as mean ± standard deviation. Non-normally distributed data are expressed as median values with the interquartile range (IQR, i.e., the arithmetic difference between the 25th percentile value and the 75th percentile value) shown in parentheses a1-day-post-HD vs day of HD p = 0.018 b2-days-post-HD vs day of HD p = 0.057; 1-day-post-HD vs 2-days-post-HD p = 0.441

Body composition studies

MHD patients and normal subjects visited the HUMC Clinical and Translational Research Center in the morning after fasting for at least eight hours. MHD patients visited the Clinical and Translational Research Center one day after a hemodialysis treatment. Height, body weight, and body mass index (BMI, body weight (kilograms) divided by body height (squared meters)) were measured. No subject had obvious edema at the time of study. Lean body mass, fat mass, and bone mass were measured by dual energy x-ray absorptiometry (Hologic; model DXA Discovery A; Bedford, MA.)

Physical performance tests

Immediately after the body composition tests, subjects underwent three physical performance tests in the following order: 6-min walk test (6-MWT), sit-to-stand test, and stair-climbing test. The 6-MWT measured the distance (meters) that participants walked back and forth along an 80-ft (24.4 m) horizontal corridor during a 6-min period of time while they were repetitively encouraged to walk fast. Using a standard 6-MWT protocol, participants were encouraged to walk fast using the following phrases for consistency: “You’re doing well,” “Keep up the good work.” “Good work,” “You have …… minutes to go,” and “You have only …… minutes left.” Study subjects could slow down, rest, or even stop walking if they wished, but the 6-min timer kept running. In the sit-to-stand test, participants rose from a fully seated position to full standing and then returned to the starting fully seated position as frequently as possible, with encouragement, during a 30-s period. This test measured the number of sit-to-stand cycles completed during 30 s. The stair-climbing test measured the time (seconds) for participants to climb 22 steps as fast as possible, again with encouragement, without running, jumping, or skipping steps. The 6-MWT was performed once; the sit-to-stand and stair-climb tests were each performed twice at 5-min intervals, and the better of the two scores was selected for analysis. Participants underwent these physical performance tests after they received a detailed explanation and demonstration of each test by a trained examiner.

Daily physical activity

Daily physical activity (DPA) was assessed both with a physical activity monitor (ActiGraph GT3X+ Activity Monitor®, ActiGraph, Fort Walton Beach, FL) and a questionnaire, the Human Activity Profile. All participants completed the Human Activity Profile questionnaire, which elicits a person’s description of the frequency that he/she performs physical activities requiring various amounts of energy expenditure and degrees of physical performance [20]. The human activity profile score is calculated as a maximum activity score, indicating the highest oxygen-demanding activity listed in the questionnaire that the subject indicates that he/she still performs. The human activity profile-adjusted activity score is calculated as the subject’s maximum activity score minus the number of less oxygen-demanding physical activities that the subject indicates that he/she can no longer perform. These scores, respectively, estimate the highest level of energy expenditure (the maximum activity score) and average level of energy expenditure (the adjusted activity score) as compared to normal individuals of the same age and gender [20]. During their CTRC visit, study participants were instructed to wear an activity monitor that was strapped to the lateral side of the pelvic bone on the non-dominant side of the hips. The activity monitor (ActiGraph®) was worn continuously for 10 days, including nights, except when subjects took baths, showered, or swam. This pager-sized ambulatory accelerometer detects physical activity in three dimensions. ActiGraph’s digital filtering algorithms measure the frequency and direction of movements by the subject, the orientation of the person’s body (e.g., lying, sitting, standing), and the time of day and date of each movement [21]. Physical activity was calculated during the last seven full days of activity. For MHD patients, these 7 days included three hemodialysis days and four non-hemodialysis days. Thus, on one of these 7 days, daily physical activity was measured on the second day after a hemodialysis. The average daily vector magnitude (VM) for daily physical activity was calculated as the square root of the sum of the squares of the movement readings from each of the three dimensional axes. We classified activity level as sleep or marked physical inactivity (i.e., a VM of 0–500), light physical activity (VM of 501–2689), and moderate or greater physical activity (VM ≥2,690) [21]. A VM score of 0–500 was taken to indicate sleep or marked physical inactivity based upon our observations of the subjects’ activities when these readings were obtained.

Statistical analyses

Statistical analyses were performed using STATA 11 statistical software (StataCorp LP College Station, TX). Continuous variables were expressed as mean ± standard deviation (SD) and were compared between groups by independent t tests. Variables that were non-normally distributed as determined by the Shapiro-Wilk test of normality were reported as the median and interquartile range (IQR, i.e., the arithmetic difference between the 25th percentile value and the 75th percentile value). Categorical variables with ≥ three groups were compared with one-way analysis of variance (ANOVA). Up to three covariates were adjusted for in multiple regression analyses: age, gender, and presence of diabetes mellitus. A 2-tailed p value of <0.05 was considered statistically significant. When ANOVA was not used, no statistical adjustment was made for the number of comparisons performed.

Results

Seventy-six MHD patients and 40 normal controls were recruited and studied. Five participants were excluded because of prosthetic leg (one MHD patient) or not wearing the activity monitor for at least 7 days (three MHD patients, one normal). We obtained sufficient data for analysis on 72 MHD patients and 39 normal controls. Their characteristics are shown in Table 1. MHD patients and normal controls were 52.3 ± 12.9 (SD) (range, 24–85), and 51.0 ± 12.7 (range, 20–75) years old, respectively. Dialysis vintage was 53.9 ± 45.0 months. Only 31.6 % of the MHD patients had diabetes mellitus, which may reflect the fact that the inclusion/exclusion criteria selected a healthier subset of MHD patients and, hence, a disproportionately large number of diabetic patients were excluded from the study. There were no significant differences between MHD patients and normals with regard to age, weight, gender distribution, educational level, and racial/ethnic distribution. MHD patients and normals each had normal serum albumin levels, averaging 4.1 g/dL. Fat-free, edema-free (lean) body mass, and percent body fat were not different, and their BMI averaged in the overweight range (Table 1). The Charlson Comorbidity Index in the MHD patients averaged 5.7 ± 2.7 (median value, 5; range of values, 2–13). Compared with normals, MHD patients had significantly worse scores in all measures of daily physical activity (Table 2). The 7-day mean daily physical activity of MHD patients, measured by the ActiGraph activity monitor and expressed as the VM, averaged 60.8 % of the daily physical activity of normals. MHD patients, in comparison to normals, showed a significantly greater percent of their time in sleep or marked physical inactivity and a significantly smaller percent of their time performing either light daily activity or moderate or greater daily activity. Daily physical activity in the MHD patients varied according to their hemodialysis (HD) schedule (Table 2). Daily physical activity was significantly lower on the day of HD (day 0) than on the day following dialysis (1-day-post-HD). Daily physical activity 2-days-post-HD tended to be greater than daily physical activity on the day of HD and less than daily physical activity on day-1-post-HD but was not statistically different from either of these days. On each of these 3 days of the HD schedule, daily physical activity was significantly lower than the daily physical activity of the normals. Both human activity profile scores, the maximal activity score and adjusted activity score, were reduced (Table 2). The 6-MWT, sit-to-stand, and stair-climbing measurements in MHD patients were 71.5, 60.7, and 161.2 %, respectively, of the values obtained from normal controls (p < 0.001 for each comparison, Table 2). The reduced distance walked during the 6-MWT occurred even though no patient stopped walking. In either MHD patients and normal adults, the daily physical activity, human activity profile Maximum Activity Score and Adjusted Activity Score values were not significantly different in women as compared to men (Table 3). In MHD patients, the 6-MWT and the stair-climbing speed were significantly reduced in women. In normal adults, performance in the sit-to-stand test was significantly lower in women than in men. Moreover, male and female MHD patients, analyzed separately, each displayed significantly lower daily physical activity and human activity profile maximum activity and adjusted activity scores and reductions in all three physical performance tests as compared to normal men and women, respectively.
Table 3

Physical activity and physical performance by gender group

MHD patients N = 72MHD:male vs. femaleNormal controls N = 39Normals: male vs. femaleMales: MHD vs. normalsFemales: MHD vs. normals
Males N = 49Females N = 23 p Males N = 23Females N = 16 p p p
Age (years)51.8 ± 13.053.8 ± 13.00.54551.3 ± 14.750.6 ± 9.50.8680.8840.407
Vintage (months)46.9 (46.7)51.4 (72.4)0.018
Physical activity
 Human activity profile
  Maximum activity score84 (10)82 (18)0.15592 (5)89.5 (4)0.472<0.0001<0.0001
  Adjusted activity score76 (21)69 (26)0.31991 (4)88 (4)0.285<0.0001<0.0001
 Time spent by monitor (%)
  Sleep or inactive82.0 ± 5.881.7 ± 6.00.84072.9 ± 6.172.7 ± 6.00.920<0.0001<0.0001
  Light activity14.2 ± 4.414.9 ± 4.50.53419.3 ± 4.321.0 ±4.60.245<0.00010.0002
  ≥ Moderate activity3.8 ± 2.03.3 ± 2.20.3417.8 ± 3.36.4 ± 2.30.151<0.0001<0.0001
Average daily physical activity (vector magnitude)
  Daily physical activity (mean of 7 days)421,539 (260,044)365,050 (184,522)0.398644,556 (305,427)596,642 (244,376)0.435<0.0001<0.0001
  Day of HD324,559 (203,547)329,942 (135,789)0.315
  1-day-post-HD443,085 (261,536)442,355 (211,902)0.438
  2-days-post HD398,185 (268,775)360,273 (273,908)0.887
Physical performance
 6-min walk distance (meters)467.6 ± 98.9385.3 ± 147.60.007632.9 ± 60.7595.5 ± 61.90.068<0.0001<0.0001
 Sit-to-stand test (cycles per 30 s)16.5 ± 5.614.7 ± 4.20.17528.1 ± 3.923.6 ± 6.30.009<0.0001<0.0001
 Stair-climbing test (seconds per 22 stairs)13.5 ± 5.020.8 ± 17.20.0089.6 ± 1.210.2 ± 1.00.109<0.00010.008

Data expressed as mean ± standard deviation. Non-normally distributed data are expressed as median values with the interquartile range (IQR. i.e., the arithmetic difference between the 25th percentile value and the 75th percentile value) shown in parentheses

Physical activity and physical performance by gender group Data expressed as mean ± standard deviation. Non-normally distributed data are expressed as median values with the interquartile range (IQR. i.e., the arithmetic difference between the 25th percentile value and the 75th percentile value) shown in parentheses Weekly averaged daily physical activity was negatively associated with age in MHD patients in unadjusted analyses (Fig. 1a), as reported by Johansen et al. [22], and after adjustment for gender and diabetes mellitus (r = −0.342, p < 0.004). In normal controls, weekly averaged daily physical activity was not correlated with age, whether unadjusted (Fig. 1b) or adjusted for gender (r = −0.224, p = 0.177). Daily physical activity correlated directly with MHD vintage in unadjusted analyses (Fig. 2) and with adjustment for age and gender or age, gender, and diabetes (Table 4). In unadjusted analyses, weekly averaged daily physical activity correlated with 6-MWT (Fig. 2), sit-to-stand, and stair-climbing time in MHD patients. In MHD patients, DPA correlated only with 6-MWT but not with sit-to-stand or stair-climbing after adjustment for age and gender or age, gender, and diabetes (Table 4). In normal subjects in unadjusted analyses, daily physical activity correlated directly with the 6-MWT (r = 0.345, p = 0.032) but not with adjustment for age and gender. In normals, daily physical activity did not correlate with either sit-to-stand or stair-climbing measurements in either unadjusted or adjusted analyses. As might be expected, in both unadjusted and adjusted analyses, averaged weekly daily physical activity was significantly associated with the daily physical activity analyzed for each day of the HD cycle as well as for percent time in sleep or marked physical inactivity or in moderate or greater physical activity (Table 4).
Fig. 1

Unadjusted correlation between weekly averaged daily physical activity (DPA) and age in MHD patients (a) and normal controls (b)

Fig. 2

Unadjusted correlation between weekly averaged daily physical activity (DPA) and 6-min walk test in MHD patients (a) and normal controls (b)

Table 4

Correlations in MHD patients with weekly averaged accelerometer-measured daily physical activity and with the human activity profile (HAP) with no adjustments and with adjustment for covariates

UnadjustedAge, gender adjustedAge, gender, diabetes adjusted
R p Value R p Value R p Value
Correlations with accelerometer-measured daily physical activity
Vintage (months)0.2660.0240.2520.0350.2570.033
Human activity profile
 Maximum activity score0.2770.0190.1020.4030.1010.410
 Adjusted activity score0.3660.0020.2060.0870.2070.087
Time spent by monitor readings (%)
 Sleep or marked physical inactivity−0.868<0.0001−0.881<0.0001−0.885<0.0001
 Light activity0.745<0.00010.794<0.00010.796<0.0001
 ≥ Moderate activity0.843<0.00010.816<0.00010.820<0.0001
Day of HD0.898<0.00010.881<0.00010.881<0.0001
1-day-post-HD0.948<0.00010.942<0.00010.942<0.0001
2-days-post-HD0.815<0.00010.819<0.00010.819<0.0001
6-min walk distance (meters)0.387<0.00010.2580.0310.2630.029
Sit-to-stand test (no. cycles in 30 s)0.2680.0230.1480.2210.1480.226
Stair-climbing test (seconds per 22 stairs)−0.2830.016−0.1120.358−0.1110.363
Correlations with human activity profile
Maximum activity score vs.
 6-min walk distance (meters)0.628<0.00010.496<0.00010.480<0.0001
 Sit-to-stand test (no. cycles in 30 s)0.623<0.00010.534<0.00010.533<0.0001
 Stair-climbing test (seconds per 22 stairs)−0.707<0.0001−0.595<0.0001−0.584<0.0001
Adjusted activity score vs.
 6-min walk distance (meters)0.642<0.00010.523<0.00010.504<0.0001
 Sit-to-stand test (no. cycles in 30 s)0.581<0.00010.481<0.00010.479<0.0001
 Stair-climbing test (seconds per 22 stairs)−0.608<0.0001−0.454=0.0001−0.437=0.0002
Unadjusted correlation between weekly averaged daily physical activity (DPA) and age in MHD patients (a) and normal controls (b) Unadjusted correlation between weekly averaged daily physical activity (DPA) and 6-min walk test in MHD patients (a) and normal controls (b) Correlations in MHD patients with weekly averaged accelerometer-measured daily physical activity and with the human activity profile (HAP) with no adjustments and with adjustment for covariates Average weekly daily physical activity was significantly associated with the maximum activity and adjusted activity scores of the human activity profile in unadjusted analyses but not when the analyses were adjusted for age and gender or age, gender, and diabetes. Interestingly, the maximum activity scores and the adjusted activity human activity profile scores each strongly correlated with 6-MWT and sit-to-stand and stair-climbing tests in both unadjusted and the age, gender, and diabetes adjusted analyses (Table 4, Figs. 3 and 4).
Fig. 3

Unadjusted correlations between the human activity profile maximum activity score and 6-min walk test (a), sit-to-stand test (b), and stair-climbing test (c) in MHD patients

Fig. 4

Unadjusted correlations between the human activity profile-adjusted activity score and 6-min walk test (a), sit-to-stand test (b), and stair-climbing test (c) in MHD patients

Unadjusted correlations between the human activity profile maximum activity score and 6-min walk test (a), sit-to-stand test (b), and stair-climbing test (c) in MHD patients Unadjusted correlations between the human activity profile-adjusted activity score and 6-min walk test (a), sit-to-stand test (b), and stair-climbing test (c) in MHD patients

Discussion

This study indicates that daily physical activity of MHD patients, measured by the activity monitor and physical performance were substantially reduced compared with normal adults. Our accelerometer measured daily physical activity and the three physical performance tests appear to be reliable and reproducible [21, 23]. The 6-MWT and sit-to-stand test rather objectively monitor progress after exercise training in MHD patients [23]. However, after adjustment for age, gender, and diabetes, our study demonstrated a significant association only between daily physical activity and 6-MWT but not sit-to stand or stair climbing (Table 4). Maximum activity and adjusted activity human activity profile scores correlated with daily physical activity in unadjusted but not adjusted analyses. However, the human activity profile maximum activity and adjusted activity scores were highly significantly correlated, both before and after adjustment, with each of the three physical performance tests (Table 4, Figs. 3 and 4). These findings support the contention that the human activity profile gives a more reliable assessment of physical performance or exercise capability than it does of daily physical activity [20, 24]. The rather weak correlation between daily physical activity, determined by the activity monitor, and the physical performance tests is consistent with other studies in older men (≥65 years old) [25], and suggest that factors in addition to physical capability also play a role in determining daily physical activity. The fact that the MHD patients in this study were a relatively healthy subgroup and that more severely debilitated MHD patients were excluded from study may also explain the rather weak correlations between daily physical activity and physical performance that were observed in the present study; i.e., if the ranges of daily physical activity and physical performance scores among the MHD patients were greater, the correlations between these two variables might have been more statistically significant. Physical inactivity and increased time at bed rest are commonly observed in MHD patients [7, 10, 26]. Decreased physical activity can lead to detrimental effects on the heart and musculoskeletal system, result in profound reductions in physical work capacity, and aggravate such comorbid states in dialysis patients as cardiac dysfunction, skeletal muscle wasting, glucose intolerance, and reduced bone density [26]. High daily physical activity levels are associated with beneficial clinical traits in both chronic kidney disease patients and the general population. Higher usual physical activity levels, determined by questionnaires are associated with better nutritional status [5, 6], less inflammation [6], and an increased employment rate in incident dialysis patients [27]. Increased physical activity in MHD patients is associated with less sleep disturbances [28, 29], and improved nutritional status and body composition [5, 8, 30, 31]. The amount of time spent in increased physical activity was significantly associated with greater walking ability, improved physical fitness, and better quality of life in MHD patients [32]. As with our findings, in older men, usual physical activity correlated with exercise capacity [33]. By contrast, low daily physical activity is associated with increased hospitalizations and mortality in MHD patients [4, 15, 34, 35], greater mortality in stage 2–4 chronic kidney disease patients [36, 37], increased risk of cardiovascular and all-cause mortality in renal transplant recipients [2], increased cancer-related mortality and all-cause mortality in cancer patients [38, 39], and increased mortality in older people [40]. While the association between physical performance and morbidity or mortality outcomes has not been directly investigated in MHD patients, several studies have used the SF-36 questionnaire Physical Component Score as a proxy for physical performance. The Physical Component Score is based largely on questionnaire items determining the extent to which patients are “limited” in performing common physical tasks of varying difficulty. In two studies, MHD patients with low Physical Component Scores had greater hospitalization or mortality risks [14, 41]. Johansen et al. reported that lower adjusted human activity profile maximum activity and adjusted activity scores were associated with increased mortality in 1,054 ambulatory MHD patients [42]. Our findings of reduced daily physical activity and physical performance may be particularly relevant because we studied an apparently healthier subgroup of MHD patients. This would suggest that renal failure and possibly, treatment regimens for renal failure per se may reduce daily physical activity and physical performance. Evidence that we studied healthier MHD patients includes the following: (1) Our inclusion/exclusion criteria precluded many comorbid conditions and stipulated that patients were not recently hospitalized, except for vascular access repair, and were able to perform the 6-MWT. (2) The patients’ serum albumin averaged 4.1 g/dL, which was the same as our normal control values and substantially higher than is reported in large epidemiological studies of MHD patients [43]. (3) Their BMI, LBM, percent body fat, and body weight were within the healthy range (Table 1). (4) Patients’ normalized protein nitrogen appearance (nPNA) was 1.10 ± 0.26 g protein/kg/day, which is greater than that reported for most MHD patients [27-29]. nPNA somewhat underestimates the daily dietary protein intake [44], and this value is only slightly lower or not different from protein intake recommended for MHD patients by K/DOQI and other expert workgroups [45, 46]. Moreover, MHD patients who describe good appetite demonstrate less inflammation and greater survival [47]. (5) The mean Charlson Comorbidity Index value of the 72 MHD patients was 5.7 ± 2.7 with a median value of 5, which is not high for dialysis patients [19, 48, 49]. (6) Daily physical activity and physical performance in our non-diabetic MHD patients, when analyzed separately, are still substantially and significantly decreased compared to normal adults (unpublished data). This study does not indicate whether low daily physical activity and reduced physical performance in our MHD patients were causally related to each other. Moreover, it does not indicate whether increasing DPA will improve physical performance or whether greater exercise training to increase physical performance will enhance DPA. It would not be unlikely that low daily physical activity and reduced physical performance may each contribute to the other disorder in MHD patients. This study has several limitations; first, the activity monitor was worn on the hip, which might limit its ability to detect upper body movements. Second, the sampling of different racial and ethnic groups was limited, and this study was focused on relatively healthy non-diabetic and diabetic MHD patients. Among the strengths of this study, very few other studies have examined relationships between daily physical activity and physical performance in MHD patients. This study is one of the few that used an instrument to measure daily activity. Our sample size of MHD patients was rather large. Since relatively healthy MHD patients were studied, we were able, to some extent, to separate the effects of end-stage kidney disease and MHD treatment on daily physical activity and physical performance from other common comorbid conditions that afflict MHD patients, such as protein-energy wasting, severe heart disease, strokes, amputations, or emotional depression. In summary, this study confirms and extends previous findings of major reductions in daily physical activity and physical performance in MHD patients. In MHD patients, increased physical activity and physical performance, usually determined by questionnaires, are associated with improved outcomes [2, 6, 8, 14, 15]. Since physical performance is associated with daily physical activity and can be improved with exercise training in MHD patients [50-52], exercise might also improve daily physical activity. Research is clearly indicated to examine how to best increase physical performance and daily physical activity in MHD patients and to ascertain whether such strategies will improve their clinical outcomes.
  51 in total

1.  Physical activity and energy expenditure in haemodialysis patients: an international survey.

Authors:  Carla Maria Avesani; Stanislas Trolonge; Patrik Deléaval; Flavia Baria; Denise Mafra; Gerd Faxén-Irving; Phillipe Chauveau; Daniel Teta; Maria Ayako Kamimura; Lilian Cuppari; Maria Chan; Olof Heimbürger; Denis Fouque
Journal:  Nephrol Dial Transplant       Date:  2011-12-15       Impact factor: 5.992

2.  Physical activity is necessary to prevent deterioration of the walking ability of patients undergoing maintenance hemodialysis.

Authors:  Toshiki Kutsuna; Atsuhiko Matsunaga; Takuya Matsumoto; Akira Ishii; Kazuya Yamamoto; Kazuki Hotta; Naoko Aiba; Yutaka Takagi; Atsushi Yoshida; Naonobu Takahira; Takashi Masuda
Journal:  Ther Apher Dial       Date:  2010-04       Impact factor: 1.762

3.  Similarities in skeletal muscle strength and exercise capacity between renal transplant and hemodialysis patients.

Authors:  Eugénie C H van den Ham; Jeroen P Kooman; Annemie M W J Schols; Fred H M Nieman; Joan D Does; Frits M E Franssen; Marco A Akkermans; Paul P Janssen; Johannes P van Hooff
Journal:  Am J Transplant       Date:  2005-08       Impact factor: 8.086

4.  Correlates of habitual physical activity in chronic haemodialysis patients.

Authors:  Sylwia Zamojska; Magdalena Szklarek; Maciej Niewodniczy; Michał Nowicki
Journal:  Nephrol Dial Transplant       Date:  2006-01-18       Impact factor: 5.992

5.  Significance of frailty among dialysis patients.

Authors:  Kirsten L Johansen; Glenn M Chertow; Chengshi Jin; Nancy G Kutner
Journal:  J Am Soc Nephrol       Date:  2007-10-17       Impact factor: 10.121

6.  A simple comorbidity scale predicts clinical outcomes and costs in dialysis patients.

Authors:  S Beddhu; F J Bruns; M Saul; P Seddon; M L Zeidel
Journal:  Am J Med       Date:  2000-06-01       Impact factor: 4.965

7.  Physical activity patterns in chronic hemodialysis patients: comparison of dialysis and nondialysis days.

Authors:  Karen M Majchrzak; Lara B Pupim; Kong Chen; Cathi J Martin; Sheila Gaffney; Jane H Greene; T Alp Ikizler
Journal:  J Ren Nutr       Date:  2005-04       Impact factor: 3.655

8.  Clinical meaningfulness of the changes in muscle performance and physical function associated with testosterone administration in older men with mobility limitation.

Authors:  Thomas G Travison; Shehzad Basaria; Thomas W Storer; Alan M Jette; Renee Miciek; Wildon R Farwell; Karen Choong; Kishore Lakshman; Norman A Mazer; Andrea D Coviello; Philip E Knapp; Jagadish Ulloor; Anqi Zhang; Brad Brooks; Ahn-Hoa Nguyen; Richard Eder; Nathan LeBrasseur; Ayan Elmi; Erica Appleman; Leife Hede-Brierley; Geeta Bhasin; Ashmeet Bhatia; Antonio Lazzari; Samuel Davis; Pengsheng Ni; Lauren Collins; Shalender Bhasin
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2011-06-22       Impact factor: 6.053

Review 9.  A systematic review of the Human Activity Profile.

Authors:  Megan Davidson; Natalie de Morton
Journal:  Clin Rehabil       Date:  2007-02       Impact factor: 3.477

10.  Association of physical activity with survival among ambulatory patients on dialysis: the Comprehensive Dialysis Study.

Authors:  Kirsten L Johansen; George A Kaysen; Lorien S Dalrymple; Barbara A Grimes; David V Glidden; Shuchi Anand; Glenn M Chertow
Journal:  Clin J Am Soc Nephrol       Date:  2012-11-02       Impact factor: 8.237

View more
  16 in total

1.  Dietary energy requirements in relatively healthy maintenance hemodialysis patients estimated from long-term metabolic studies.

Authors:  Anuja Shah; Rachelle Bross; Bryan B Shapiro; Gillian Morrison; Joel D Kopple
Journal:  Am J Clin Nutr       Date:  2016-02-10       Impact factor: 7.045

2.  Self-Reported Interview-Assisted Diet Records Underreport Energy Intake in Maintenance Hemodialysis Patients.

Authors:  Bryan B Shapiro; Rachelle Bross; Gillian Morrison; Kamyar Kalantar-Zadeh; Joel D Kopple
Journal:  J Ren Nutr       Date:  2015-02-11       Impact factor: 3.655

3.  Sarcopenic Obesity Definitions by Body Composition and Mortality in the Hemodialysis Patients.

Authors:  Rakesh Malhotra; Serpil M Deger; Huzaifah Salat; Aihua Bian; Thomas G Stewart; Cindy Booker; Andrew Vincz; Brianna Pouliot; T Alp Ikizler
Journal:  J Ren Nutr       Date:  2016-11-19       Impact factor: 3.655

4.  Effect of intradialytic exercise on daily physical activity and sleep quality in maintenance hemodialysis patients.

Authors:  Ji-Hyung Cho; Ji-Yeon Lee; Sukyung Lee; Hyuntae Park; Seung-Wook Choi; Jun Chul Kim
Journal:  Int Urol Nephrol       Date:  2018-01-23       Impact factor: 2.370

5.  Relation between anxiety, depression, and physical activity and performance in maintenance hemodialysis patients.

Authors:  Min Zhang; Jun Chul Kim; Yinan Li; Bryan B Shapiro; Janos Porszasz; Rachelle Bross; Usama Feroze; Rajeev Upreti; David Martin; Kamyar Kalantar-Zadeh; Joel D Kopple
Journal:  J Ren Nutr       Date:  2014-04-29       Impact factor: 3.655

Review 6.  Factors affecting daily physical activity and physical performance in maintenance dialysis patients.

Authors:  Joel D Kopple; Jun C Kim; Bryan B Shapiro; Min Zhang; Yinan Li; Janos Porszasz; Rachelle Bross; Usama Feroze; Rajeev Upreti; Kamyar Kalantar-Zadeh
Journal:  J Ren Nutr       Date:  2015-03       Impact factor: 3.655

Review 7.  Latest consensus and update on protein-energy wasting in chronic kidney disease.

Authors:  Yoshitsugu Obi; Hemn Qader; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2015-05       Impact factor: 4.294

8.  Moving on up: the Journal of Cachexia, Sarcopenia and Muscle.

Authors:  Stephan von Haehling; Stefan D Anker
Journal:  J Cachexia Sarcopenia Muscle       Date:  2015-09       Impact factor: 12.910

9.  Cachexia: a nutritional syndrome?

Authors:  Stefan D Anker; John E Morley
Journal:  J Cachexia Sarcopenia Muscle       Date:  2015-11-18       Impact factor: 12.910

Review 10.  Cardiac cachexia: hic et nunc.

Authors:  Goran Loncar; Jochen Springer; Markus Anker; Wolfram Doehner; Mitja Lainscak
Journal:  J Cachexia Sarcopenia Muscle       Date:  2016-07-01       Impact factor: 12.910

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.