Applications of physical performance measures to routine diabetes care for frailty prevention concept: fundamental data with grip strength, gait speed, timed chair stand speed, standing balance, and knee extension strength.

INTRODUCTION: Progression of muscle strength weakening will lead to a poor physical performance and disability. While this is particularly important in patients with diabetes, the associations of reduced muscle strength measured by grip strength with clinical features and physical performance remain unclear. We investigated clinical features and physical performance measures in association with grip strength in elderly people with diabetes in a primary care setting. RESEARCH DESIGN AND METHODS: A cross-sectional study was conducted enrolling 634 male and 323 female Japanese patients with type 2 diabetes aged 60 years or older. First, grip strength was measured and the associations of gender-specific grip strength with clinical features were evaluated. Second, in patients with a grip strength below the gender-specific median, physical performance measures, including gait speed, timed chair stand speed, knee extension strength, standing balance, and short physical performance battery scores, were investigated. Patients with and without a low performance defined by Asian Working Group for Sarcopenia were compared in terms of clinical features and physical performance measures.
RESULTS: Grip strength decreased according to aging and longer duration of diabetes and was independently related to body mass index, glycated hemoglobin A1c (HbA1c), serum albumin, albuminuria, neuropathy, and stroke in male patients, and to body mass index and albuminuria in female patients. The physical performance measures became worse proportionally to a decrease in the grip strength. Patients with a low performance exhibited a significantly older age, lower grip strength and serum albumin, higher albuminuria, and poorer physical performance measures than those without.
CONCLUSIONS: Reduced grip strength was associated with glycemic exposure indicators of age-related duration, HbA1c, and vascular complications. The physical performance measures became worse with decreasing grip strength. Measurements of grip strength and physical performance in patients with diabetes may help promote intervention to prevent frailty in future studies. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

The number of elderly people with diabetes is increasing with the extension of life expectancy. Muscle strength weakening will progress with aging and lead to a low physical performance and to frailty. It is known that a decrease in muscle strength is accelerated by diabetes. However, the clinical features in association with muscle strength as measured by grip strength and physical performance measures remain unclear in the elderly people with diabetes.

We revealed that reduced grip strength in elderly people with diabetes was associated with glycemic exposure indicators of age-related duration, glycated hemoglobin A1c and vascular complications, and the physical performance measures became worse proportionally to a decrease in the grip strength. Patients with a low performance exhibited a significantly older age, lower grip strength and serum albumin, higher albuminuria, and poorer physical performance measures than those without.

The measurements of grip strength and physical performance in patients with diabetes may help promote intervention to prevent frailty in future studies. This study warrants the applications of the frailty concept to diabetes and applications of physical performance measures to the routine clinical practice.

Introduction

The number of elderly people with type 2 diabetes is markedly increasing with the extension of life expectancy in many countries, especially Japan.1–3 These patients are at a high risk for common geriatric syndromes.2–4 Also, they often have complications of several coexisting illnesses such as microvascular disease, hypertension, dyslipidemia, and cardiovascular disease (CVD). All these factors have significant effects to increase premature deaths and reduce the quality of life.3–5 Thus, to improve the prognosis in elderly patients with type 2 diabetes, it is necessary to fully understand the conditions and symptoms specific to the elderly and to consider appropriate diabetes management and preventive measures.

A series of epidemiological studies indicated that reduced muscle strength, commonly measured by grip strength, is associated with increased risks of mortality and CVD morbidity in the general population.6–10 Muscle strength of hand grip, elbow flexion, knee extension, and trunk flexion and extension measured in middle or old age were reported to be highly predictive of functional limitations and disability up to 25 years later.11 12 Progression of muscle strength weakening will lead to a poor physical performance and eventually to disability.11–14 Thus, the prevention of disability and frailty conditions is important because these conditions severely reduce the quality of life of individuals and are economically burdening for public health.15–18

Diabetes per se was reported to be associated with a marked increase in the risks of physical disability and frailty.15 16 It is also known that a decrease in muscle strength is accelerated by aging, especially in people with diabetes compared with those without diabetes.13 19 20 Thus, it is important to assess the muscle strength and physical performance in the clinical practice of diabetes care.4 In particular, elderly people with type 2 diabetes, if accompanied with a low grip strength, may have much higher risks of mortality and CVD morbidity.

However, in the clinical practice of diabetes care, especially in outpatient clinics, not only grip strength but also physical performances measures, which are practically applicable such as gait speed, timed chair stand speed, and knee extension strength, are not always performed routinely because of several practical issues such as limited consultation time, space, and manpower. The clinical features in association with grip strength and physical performance measures remain unclear in elderly people with type 2 diabetes. Therefore, the aim of this study was, using data measured as medical examinations for diabetes care: (1) to investigate the grip strength by age and the associations with clinical features in elderly Japanese people with type 2 diabetes and (2) to investigate physical performance measures in associations with clinical features and grip strength in those with a low grip strength.

Research design and methods

Study population

All consecutive patients with type 2 diabetes aged 60 years or older who regularly visited the outpatient clinic of Jiyugaoka Internal Medicine in 2019 were included. The hand grip strength, as a strong indicator of muscle strength, was measured as one of the medical examinations for daily diabetes care. Using data of measured hand grip strength, this cross-sectional study was retrospectively performed with the aim of investigating hand grip strength in association with clinical characteristics and physical performance measures in a primary care setting. Reasons for exclusion included poor cognitive function (Mini-Mental State Examination <24); severe impairment of the liver, kidney, pulmonary, or cardiac function; or severe limitations in active daily life. Firstly, the data of grip strength were retrospectively collected, and the gender-specific mean values of grip strength according to the age stratification were calculated. Numerous papers reported that reduction of muscle strength will lead to a low physical performance.11–14 Therefore secondly, in patients with a grip strength below the gender-specific median, physical performance measures that are useful to identify the risk of frailty or falls21–27 were additionally measured as medical examinations for daily diabetes care, and the associations of grip strength with the physical performance measures were investigated to obtain fundamental data on physical performance measures in patients with weakened muscle strength. The study was approved by the local ethical committee and was carried out in accordance with the Declaration II of Helsinki.

Measurements

Type 2 diabetes was diagnosed according to the Japan Diabetes Society criteria, that is, fasting blood glucose ≥7.0 mmol/L or casual blood glucose ≥11.1 mmol/L, plus glycated hemoglobin A1c (HbA1c) ≥6.5%. The body mass index (BMI) was calculated as the ratio of body weight (kg) to height squared (m2). Blood pressure (BP) was measured in a sitting position after a 5 min rest. Non-fasting blood samples and random urine samples were obtained from each subject. HbA1c (normal range: 4.6%–6.2%) levels were measured by high-performance liquid chromatography and presented as National Glycohemoglobin Standardization Program (%) and International Federation of Clinical Chemistry (IFCC) values (mmol/mol). Serum concentrations of albumin and lipids were measured by OLYMPUS AU640 (Beckman Colter, Tokyo, Japan) and low-density lipoprotein cholesterol was calculated by Friedewald’s formula. Serum and urinary concentrations of creatinine and urinary albumin were measured by enzymatic methods and turbidimetric immunoassay, respectively. The urinary albumin excretion rate was recorded as the albumin to creatinine ratio. The glomerular filtration rate (GFR) was estimated using the following equation by the Japanese Society of Nephrology: estimated GFR (eGFR) (mL/min/1.73 m2)=194×Scr−1.094×Age−0.287×0.739 (if female). Diabetic retinopathy was diagnosed after pupillary dilation by ophthalmologists. Neuropathy was diagnosed in patients with two or more of three components: presence of symptoms, absence of ankle tendon reflexes, and abnormal vibration perception threshold scores using a C128 tuning fork, where bilateral spontaneous pain, hypoesthesia or paresthesia of the legs was considered a neuropathic symptom.28 A previous medical history of macrovascular complications, that is, CVD, consisted of coronary artery disease (CAD), ischemic stroke, and peripheral artery disease (PAD). CAD included myocardial infarction, angina pectoris, and coronary interventions. Ischemic stroke included symptomatic brain infarction and carotid revascularization and did not include silent brain infarction, transient ischemic attack, or brain hemorrhage. PAD was diagnosed when intermittent claudication occurred, with the confirmation of an ankle-brachial pressure index <0.9 that was measured automatically by volume-plethysmographic apparatus or significant peripheral artery stenosis by angiography, or leg amputation above the ankle as a result of diabetes.

Physical performance measures

Hand grip strength was measured using Jamar Hand Dynamometer (T-2177; Toei Light, Saitama, Japan). Patients were encouraged to exert maximal grip strength. Two trials were conducted for each hand alternately, and the maximum value was used for the analyses. Walking speed was assessed by asking patients to walk at their usual pace over a 5 m course. Two walk times were recorded, and the faster of the two was used. To measure the sit-to-stand time, patients were asked to rise from a chair five times as fast as possible with verbal encouragement. Patients folded their arms across their chests while maintaining a 90° upright posture with their feet shoulder-width apart and were instructed to stand up completely and make firm contact when sitting. The chair was of a standard height (0.43 m) without armrests. Two tests were performed and the faster one was recorded. Knee extension strength was measured using a handheld dynamometer (μTas F-1; Anima, Tokyo, Japan). This method is new, portable, and simple, and was validated by comparing it with a conventional method using an isometric dynamometer.29 Furthermore, the usefulness for patients with diabetes was confirmed and the details of the measurements were as described by Nomura et al.30 In brief, patients maintained an upright posture with the hip and knee joints bent at 90° in the end-sitting position. The sensor pad was applied on the anterior surface of the lower leg, which was 25 cm below the knee joint fissure. The test was performed primarily with the right leg three times, while the tester gave verbal encouragement. The maximal absolute value (N, 1 kgf=9.8 N) was used for the analyses. The intraclass correlation coefficients of the measurement were ≥0.9.

The short performance physical battery (SPPB) score is based on timed measures of standing balance, gait speed and ability to rise from a chair.21–26 Each of the three performance measures was assigned a score from 0 to 4, with 4 indicating the highest level of performance and 0 the inability to complete the test. A summary score (range: 0–12) was subsequently calculated by adding the three scores. For the balance test, patients were asked to maintain their feet in side-by-side, semitandem (heel of one foot beside the big toe of the other foot) and tandem (heel of one foot in front and touching the other foot) positions for 10 s each. Patients were assigned the following scores: 1 if they could only hold a side-by-side standing position for 10 s; 2 if they could only hold a semitandem position for 10 s, but were unable to hold a full-tandem position for more than 2 s; 3 if they could only stand in a full-tandem position for 3 to 9 s; 4 if they could only stand in a full-tandem position for 10 s. Gait speed was scored as follows: <0.46 m/s=1; 0.47–0.64 m/s=2; 0.65–0.82 m/sec =3; ≥0.83 m/s=4. Five sit-to-stand time was scored as follows: unable=0; ≥16.7 s=1; 16.6–13.7 s=2; 11.2–13.6 s=3; and ≤11.1 s=4.

A low physical performance was defined according to the Asian Working Group for Sarcopenia (AWGS) definition by the presence of one of the following: gait speed <1 m/s, five sit-to-stand time ≥12 s, and SPPB score ≤9.31

Statistical analysis

Continuous data are expressed as the mean±SD if normally distributed and median (IQR) if non-normally distributed. Grip strength was compared among patients stratified by every 5-year age group, and the percentage of those with grip strength <28 kg for males and <18 kg for females, an AWGS cut-off value, is shown. To investigate the associations between grip strength and clinical features, patients were divided into four groups according to the quartiles of grip strength. For comparisons of continuous variables between two groups, unpaired Student’s t-test for normally distributed variables or the Mann-Whitney U test for non-normally distributed variables was used. Comparisons of continuous variables among the four groups were performed by one-way analysis of variance. Non-normally distributed variables were first logarithmically transformed before any analyses. Comparisons between frequencies in the study groups were made by χ2 tests. A simple linear regression model was used to relate grip strength to other explanatory variables. Pearson’s correlation coefficient to measure linear association between two quantitative variables and the coefficient of determination were calculated, and the fitted linear regression line was given. Multiple linear regression analysis to explore the multiple variables that may determine the grip strength was performed, in which continuous and categorical variables that were significant in the four-group analyses were employed. A p-value of <5% (two-tailed) was considered significant. All analyses were performed using the statistical software package IBM SPSS statistics V.25 (SPSS Japan, Tokyo, Japan).

Results

Table 1 shows mean values of grip strength and the percentage of grip strength <28 kg for males or <18 kg for females, gender-specific cut-off values suggested by AWGS, according to the age stratification. The mean values of grip strength were significantly decreased with aging, while the percentages of grip strength below the gender-specific cut-off values were significantly increased. Table 2 shows clinical characteristics of elderly patients with type 2 diabetes according to the gender-specific quartiles of grip strength. Male patients with a lower grip strength were significantly older, had a longer known duration of diabetes, higher values of HbA1c and albuminuria, and higher rates of retinopathy, neuropathy, and stroke, whereas they had lower BMI and serum albumin. There were no associations of grip strength with systolic BP, lipid profile, eGFR, CAD, or PAD. The results were similar in female patients, while HbA1c and stroke were not significantly different and eGFR was significantly different. In a subanalysis of patients without a prior history of CVD, the results of significant variables shown in table 2 were the same for both male and female patients. In multiple linear regression analysis where the significantly correlated factors in male patients were entered into the model, age (β=−0.40, p<0.0001), BMI (β=0.35, p<0.0001), HbA1c (β=−0.68, p<0.05), serum albumin (β=2.76, p<0.01), albuminuria (β=−0.67, p<0.01), neuropathy (β=−1.21, p<0.05), and stroke (β=−3.45, p<0.001) were independently related to the numerical values of grip strength (adjusted R2=0.33, F-value=32.9, p<0.001). The analysis in female patients indicated that age (β=−0.27, p<0.0001), BMI (β=0.16, p<0.001), and albuminuria (β=−0.18, p<0.001) were independently related, whereas duration, serum albumin, eGFR, retinopathy, and neuropathy were not (adjusted R2=0.26, F-value=12.5, p<0.001).

Table 1

Grip strength of patients with type 2 diabetes aged 60 years or older and the proportion of patients with grip strength <28 kg for males and <18 kg for females (ie, cut-off values by AWGS) according to the age stratification

Age (years)	60–64	65–69	70–74	74–79	80–	P value
Male patients with diabetes
n	121	186	146	101	80
Mean±SD (kg)	38.2±5.8	35.8±6.1	32.9±6.6	31.2±5.5	27.5±6.2	<0.001
<28 kg (%)	3.3	10.2	19.9	29.7	56.3	<0.001
Female patients with diabetes
n	45	68	79	66	65
Mean±SD (kg)	23.4±4.1	21.1±3.9	19.3±4.1	18.7±3.6	16.4±4.2	<0.001
<18 kg (%)	4.4	20.6	36.7	34.8	64.6	<0.001

AWGS, Asian Working Group for Sarcopenia.;

Table 2

Clinical characteristics of elderly patients with type 2 diabetes aged older than 60 years according to the gender-specific quartiles of hand grip strength

Grip strength (kg)(range)(mean±SD)	Males					Females
	Q1	Q2	Q3	Q4	P value	Q1	Q2	Q3	Q4	P value
	≤29.3	29.4–33.8	33.9–38.3	≥38.4		≤16.4	16.5–19.8	19.9–22.0	≥22.1
	24.8±3.6	31.7±1.3	35.8±1.3	42.3±3.3		13.6±2.5	18.3±1.1	21.0±0.6	25.0±2.4
n	147	153	154	168		77	85	76	85
Age (years)	75.9±6.6	71.5±6.6	68.8±5.4	67.3±5.0	<0.001	77.2±7.0	74.4±6.7	72.0±6.0	68.1±6.1	<0.001
Duration (years)	18.8±10.4	17.0±8.4	15.3±9.2	14.8±7.5	<0.001	18.8±10.2	15.4±9.2	15.3±9.5	12.7±7.6	<0.01
BMI (kg/m2)	24.5±3.3	25.0±3.2	25.3±3.2	26.7±3.6	<0.001	25.0±4.3	24.8±4.0	25.7±3.6	27.0±5.5	<0.01
HbA1c (%)	7.33±0.86	7.15±0.99	7.21±0.78	7.06±0.63	<0.05	7.24±1.00	7.24±0.71	7.27±0.82	7.23±0.93	NS
HbA1c (mmol/mol)	56.6±9.4	54.7±10.8	55.2±8.5	53.7±6.9	<0.05	55.6±10.9	55.6±7.8	56.0±9.0	55.6±10.2	NS
Systolic BP (mm Hg)	124.1±13.7	122.9±13.1	123.6±12.4	123.6±11.2	NS	126.0±12.1	127.0±14.3	124.1±13.4	125.3±14.9	NS
Serum albumin (g/dL)	4.31±0.31	4.43±0.27	4.46±0.26	4.51±0.24	<0.001	4.32±0.26	4.41±0.22	4.49±0.27	4.49±0.26	<0.001
LDL-C (mg/dL)	105.6±27.3	105.1±27.1	100.6±26.7	104.2±24.4	NS	103.5±27.1	107.4±32.3	103.4±24.5	108.2±26.0	NS
HDL-C (mg/dL)	55.4±14.6	55.8±17.0	53.4±13.8	53.6±13.4	NS	60.3±14.8	61.2±16.2	60.7±11.9	62.7±16.8	NS
eGFR (mL/min/1.73 m2)	60.9±19.1	65.7±16.8	63.9±16.3	63.5±12.5	NS	54.3±20.2	63.2±14.9	63.4±17.0	63.5±20.7	<0.01
Albuminuria(µg/g Cr)	20.1 (7.1–110.5)	14.8 (5.5–49.0)	13.9 (4.9–53.5)	9.2 (4.7–21.7)	<0.001	24.3 (11.1–89.9)	18.7 (9.7–52.0)	14.5 (8.2–43.3)	14.5 (7.1–28.7)	<0.05
Retinopathy (%)	30.5	23.1	23.5	15.6	<0.001	31.5	23.5	21.6	13.2	<0.05
Neuropathy (%)	57.1	55.8	51.6	35.3	<0.001	61.6	43.5	39.7	32.1	<0.01
CAD (%)	6.4	8.3	7.8	6.5	NS	7.8	5.9	2.6	4.7	NS
Stroke (%)	16.0	10.9	4.5	1.8	<0.001	7.8	2.4	3.9	2.4	NS
PAD (%)	3.8	6.4	4.5	3.6	NS	7.8	3.5	1.3	2.4	NS

Data are mean±SD or median (IQR) for continuous variables, and percentage for categorical variables.

BMI, body mass index; BP, blood pressure; CAD, coronary artery disease; Cr, creatinine; eGFR, estimated glomerular filtration rate; HbA1c, glycated hemoglobin A1c; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; NS, not significant; PAD, peripheral artery disease.

Physical performance measures were investigated in only those with grip strength below the median of 33.9 kg for males (253 available out of 300 patients, 84.3%) and 19.9 kg for females (122 out of 162 patients, 75.3%). According to the gender-specific quartile of grip strength, male patients with a lower grip strength had a significantly slower gait speed, longer five sit-to-stand time, weaker knee extension strength, lower balance and SPPB scores, and higher percentage of a low physical performance defined by AWGS (table 3). In female patients with a lower grip strength, a similar trend was observed with less statistical power of significance because the number of available female patients for physical performance measures was small. Among the four groups of patients with grip strength below the median, there were no significant differences in clinical factors listed in table 1 besides the age for either males or females (data not shown). Figure 1 shows the relationships of grip strength with gait speed (A), five sit-to-stand time (B), and knee extension strength (C), and the relationships of five sit-to-stand time with gait speed (D) and knee extension strength (E) in male and female patients with grip strength below the median. The grip strength was significantly correlated with the physical performance measures of gait speed, five sit-to-stand time, and knee extension strength, and five sit-to-stand time was significantly correlated with gait speed and knee extension strength.

Table 3

Physical performance measures according to the gender-specific quartiles of grip strength in elderly patients with a lower grip strength (less than the median), <33.9 kg for males and <19.9 kg for females

Grip strength (kg)(range)(mean±SD)	Males					Females
	q1	q2	q3	q4	P value	q1	q2	q3	q4	P value
	≤25.7	25.8–29.3	29.4–31.7	31.8–33.8		≤14.3	14.4–16.4	16.5–18.6	18.7–19.8
	21.8±3.2	27.6±1.0	30.5±0.6	32.9±0.6		11.7±2.2	15.6±0.6	17.3±0.6	19.3±0.3
N	73	74	75	78		39	38	42	43
Age (years)	77.6±6.4	74.2±6.3	72.1±6.7	68.6±5.9	<0.001	79.1±6.9	75.4±6.7	75.7±6.2	73.5±6.8	<0.01
BMI (kg/m2)	24.2±3.2	24.8±3.3	24.7±3.0	25.2±3.3	NS	24.7±3.7	25.2±5.9	24.6±3.3	25.5±4.3	NS
Serum albumin (g/dL)	4.24±0.31	4.36±0.31	4.39±0.26	4.47±0.28	<0.001	4.28±0.27	4.37±0.24	4.44±0.22	4.40±0.20	<0.05
Gait speed (m/s)	1.27±0.28	1.39±0.26	1.43±0.23	1.47±0.23	<0.001	1.20±0.32	1.23±0.27	1.31±0.29	1.34±0.29	NS
Five sit-to-stand time (s)	10.40±3.08	9.47±2.46	8.65±2.60	8.50±1.62	<0.001	11.12±3.06	10.05±2.63	9.28±2.21	9.23±2.68	<0.05
Knee extension strength (N)	206.2±90.6	239.6±104.0	288.9±85.6	319.5±90.3	<0.001	139.4±66.8	139.4±52.2	167.2±49.8	178.4±60.4	0.06
Balance score	3.50±0.92	3.77±0.56	3.87±0.40	3.99±0.12	<0.001	3.75±0.53	3.46±0.92	3.64±0.78	3.88±0.41	NS
Walking score	3.79±0.50	3.95±0.28	4.00±0.00	4.00±0.00	<0.001	3.63±0.82	3.89±0.42	3.88±0.42	3.91±0.29	NS
Five sit-to-stand score	3.48±0.83	3.74±0.57	3.81±0.56	3.94±0.24	<0.001	3.29±0.91	3.71±0.66	3.76±0.50	3.71±0.68	0.05
SPPB score	10.77±1.76	11.47±1.00	11.68±0.75	11.93±0.27	<0.001	10.67±1.69	11.07±1.51	11.27±1.23	11.50±1.11	NS
SPPB full score (%)	50.0	71.0	81.1	92.5	<0.001	45.8	64.3	63.6	76.5	NS
A low physical performance (%)*	34.6	17.7	9.4	3.0	<0.001	50.0	28.6	30.3	17.6	0.07

*A low physical performance was defined by AWGS criteria with at least one of the following: gait speed <1.0 m/s, five sit-to-stand time ≥12 s, and SPPB score ≤9.

AWGS, Asian Working Group for Sarcopenia; BMI, body mass index; NS, not significant; SPPB, short performance physical battery.

Figure 1

The upper panels show the relationships of grip strength with gait speed (A), five sit-to-stand time (B), and knee extension strength (C). The lower panels show the relationships of five sit-to-stand time with 5 m walking time (D) and knee extension strength (E). Closed and open circles indicate male (M) and female (F) patients, respectively. Solid and dotted lines indicate the fitted linear regression lines for male and female patients, respectively.

Finally, clinical characteristics and physical performance measures were compared between those with and without a low physical performance, defined by AWGS, in patients with low grip strength (table 4). Male patients with a low performance (n=38, 15.0%) demonstrated a significantly older age, lower grip strength, lower serum albumin, higher albuminuria and prevalence of stroke, and poorer physical performance measures. If limited to male patients with grip strength <28 kg, those with a low performance comprised 12.3% (12/97), and the statistical power became weak but showed a similar trend. Similar results in female patients, besides the stroke prevalence, were observed.

Table 4

Clinical characteristics and physical performance measures of those with and without a low performance in the elderly people with type 2 diabetes and grip strength <33.9 kg for males and <19.9 kg for females

	Males			Females
	Low performance	Not low performance	P value	Low performance	Not low performance	P value
n	38	215		37	85
Age (years)	76.8±6.6	73.3±6.6	<0.01	78.2±6.2	73.5±6.5	<0.001
BMI (kg/m2)	24.6±3.0	24.8±3.2	NS	26.2±3.8	24.4±3.9	NS
Grip strength (kg)	25.4±5.0	29.2±3.8	<0.001	15.4±3.2	16.9±2.4	<0.01
Serum albumin (g/dL)	4.30±0.27	4.42±0.28	<0.05	4.31±0.26	4.43±0.21	<0.01
Albuminuria (µg/g Cr)	37.2 (8.1–244.6)	15.5 (6.1–48.5)	<0.01	37.2 (8.1–244.6)	15.5 (6.1–48.5)	<0.05
Stroke (%)	26.3	8.4	<0.01	10.8	4.7	NS
Gait speed (m/s)	1.16±0.28	1.44±0.23	<0.001	1.00±0.25	1.41±0.24	<0.001
Five sit-to-stand time (s)	13.29±2.48	8.42±1.76	<0.001	12.55±2.69	8.65±1.62	<0.001
Knee extension strength (n)	190.7±92.0	276.7±96.1	<0.001	131.4±56.8	167.9±57.1	<0.01
Balance score	3.24±1.05	3.88±0.41	<0.001	3.35±1.01	3.85±0.42	<0.001
Walking score	3.63±0.63	4.00±0.00	<0.001	3.49±0.80	4.00±0.00	<0.001
Five sit-to-stand score	2.68±0.87	3.95±0.22	<0.001	2.89±0.84	3.96±0.19	<0.001
SPPB score	9.55±1.61	11.83±0.47	<0.001	9.73±1.64	11.81±0.48	<0.001
SPPB full score (%)	2.6	87.4	<0.001	16.2	84.7	<0.001

Variables not significantly different between the two not shown, such as duration of diabetes, HbA1c, systolic BP, LDL-C, HDL-C, eGFR, retinopathy, neuropathy, CHD and PAD in males and females.

A low physical performance was defined by AWGS criteria with at least one of the following: gait speed <1.0 m/s, five sit-to-stand time ≥12 s, and SPPB score ≤9.

AWGS, Asian Working Group for Sarcopenia; BMI, body mass index; BP, blood pressure; CHD, coronary heart disease; Cr, creatinine; eGFR, estimated glomerular filtration rate; HbA1c, glycated hemoglobin A1c; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; PAD, peripheral artery disease; SPPB, short performance physical battery.

Discussion

In elderly people with type 2 diabetes aged 60 years or older, grip strength, a strong indicator of muscle strength, was decreased with aging. The low grip strength was associated with old age, long duration of diabetes, low BMI and serum albumin, high HbA1c and albuminuria, and presence of vascular complications. In addition, this study provided fundamental data on physical performance measures in patients with weakened muscle strength. Those with a low performance defined by AWGS were characterized by a significantly older age, lower grip strength and serum albumin, higher albuminuria and stroke, and poorer physical performance measures. While it requires future studies to investigate whether interventions to ameliorate physical performance measures could contribute to regaining muscle strength and prevention of disability and frailty, we believe that the relationship of grip strength with clinical features and physical performance measures indicated in this study may help monitor the effects of intervention.

This study showed that grip strength in elderly people with type 2 diabetes was decreased with aging. The grip strength in our diabetes population was apparently lower than that of a Japanese age-matched general population reported by Japanese governmental statistics e-Stat surveyed in 2017 (https://www.e-stat.go.jp/). Male patients with type 2 diabetes had a 4.4–5.2 kg lower grip strength in each age stratification than the general population. Female patients showed less grip strength as well. Of course, it is hard to directly compare the data of these two studies because, in the Japanese governmental statistics e-Stat, it is not opened how many patients with diabetes or other diseases were included and how the grip strength was measured. However, this trend that people with diabetes have lower grip power than general population is supported by the findings of reduced muscle strength in subjects with diabetes as compared with those without.13 19 20

The association of reduced grip strength with high HbA1c, age-related long duration of diabetes, and vascular complications indicates that long-term glycemic exposure may affect not only the development of vascular complications but also muscle strength weakening, supported by previous studies.13 16 19 20 Muscle strength weakening, or muscle catabolism, may be an important diabetes complication besides the conventional diabetic microvascular complications of neuropathy, retinopathy, and nephropathy.19 The absence of associations of grip strength with BP and lipid profiles, putative cardiovascular risk factors, was consistent with the findings from prospective follow-up studies, which indicated the predictive effect of grip strength on mortality and CVD morbidity independent of and beyond the effect of BP and lipids.6–9 Notably, patients with lower grip strength showed lower levels of serum albumin which is a nutritional marker. Several previous studies supported the associations of serum albumin with physical functional capacity, sarcopenia, and frailty.32–34 Taken together, these findings suggest that grip strength should be considered for the prevention of CVD and frailty in the management of type 2 diabetes.

In particular, we found a strong association of albuminuria and diabetic neuropathy with grip strength and physical performance status in this study. This is the first study to demonstrate the association of grip strength with albuminuria in a large-scale investigation of elderly patients with type 2 diabetes. This is in line with the association of albuminuria with sarcopenia, a condition characterized by decreases in muscle mass, strength, and function, which was reported in previous studies including individuals without diabetes.35–37 Albuminuria reflects endothelial dysfunction and generalized vascular damage,38–40 which may affect muscle metabolism leading to reduced muscle strength. Impaired microcirculation, microinflammation, and oxidative stress within the muscle capillaries may be involved in this association.41 Diabetic neuropathy was weakly but independently associated with grip strength. The association between muscle strength and neuropathy was reported previously,19 42 which is consistent with our findings. It remains uncertain how neurogenic-weakened muscle is involved.

Studies on old patients have indicated that physical capability, as assessed by physical performance measures such as shown in this study, was associated with sarcopenia, frailty, falls, and functional disability, and predicted mortality.6–13 18 27 43–45 Usual walking speed, timed chair stand speed, grip strength, and standing balance inclusive of scoring SPPB are likely to be useful not only for evaluating the cross-sectional status but also for promoting physical activity intervention by monitoring the changes in the levels.43–46 Most of the studies dealing with physical performance measures examined individuals without diabetes, and only a few studies were done involving patients with diabetes.13 45 These measures must be incorporated into daily practice for patients with diabetes.

Not surprisingly, the five measurements: grip strength, gait speed, timed chair stand speed, knee extension strength, and balance test were correlated with each other. These measurements are simple and inexpensive and may reflect different aspects of physical capability. For example, decreased knee extension strength in patients with diabetes as compared with individuals without diabetes was significantly correlated with a slow gait speed.13 The slow gait speed was accounted for more precisely if the statistical model included muscle density, quality, and ankle strength, because walking is a highly integrated function that requires the coordinated contribution of multiple physiological subsystems.47 The knee extension strength may reflect instant muscle power without weight-bearing, and speed of gait and chair stands may require more sophisticated coordination of muscle movement in the presence of weight-bearing. Although further complex tests including measurements of muscle endurance and flexibility will be useful for the full assessment of physical fitness,44 assessments of the five simple tests, how they correlated, dissociated, increased, or decreased, may be fundamental for future studies.

There are some limitations that must be addressed in this study. The test–retest reliability is always a problem for physical performance measures. Each test reflects multiple muscle strength and coordination of movement, and depends on a patient’s response. However, the physical performance measures in this study are objective, portable, and quick, and were examined uniformly. The values in this study were obtained from repeated measurements, and the reproducibility was confirmed by us and others.29 30 48 Namely, an interclass correlation coefficient of test–retest reliability on the measurements of the sit-to-stand time was 0.996 (95% CI 0.988 to 0.999). Second, physical performance measures were not examined in patients with grip strength greater than the median. The tests are principally applicable to those with reduced muscle strength; therefore, they are not necessary for those with sufficient grip strength. Actually, in patients who underwent the tests, 92.5% of males in the highest quartile (q4 in table 3) achieved a full SPPB score, and this accounted for 76.5% of females. Third, data on muscle mass were not available in this study. With data on muscle mass, we can discriminate dynapenia from sarcopenia, both of which involve decreased muscle strength and should be measured in future studies. Finally, the study was performed in patients with diabetes who visited a single clinic, and so the findings should be confirmed by others. Also, a larger number of female patients may help evaluate gender differences.

In conclusion, muscle strength weakening based on low grip strength was associated with poor long-term diabetes management in terms of the age-related duration of diabetes, poor glycemic control, and vascular complications. In patients with weakened muscle strength, physical performance measures became worse proportionally to the decrease in grip strength. The relationship of grip strength with clinical features and physical performance measures indicated in this study may help monitor the effect of intervention on frailty prevention programs. We believe that applications of the frailty concept to diabetes and applications of physical performance measures to routine clinical practice are warranted.