Background
Sarcopenia is defined as the age-related decline in skeletal muscle mass and function [
1], which may result in falls, physical disabilities, fracture, loss of dependence, poor quality of life and increased risk of death in older people [
2]. Sarcopenia is also a common health problem that is associated with a high personal consumption and increased medical costs. The health care cost of sarcopenia in the United States alone was estimated at 18.5 billion dollars in the year of 2000 [
3]. Therefore, reducing the incidence of sarcopenia and improving health-related quality of life in patients with sarcopenia are becoming increasingly important areas of research.
The risk factors and causes of sarcopenia must be identified to develop prevention and treatment strategies for this disease, particularly concerning lifestyle habits, which are more controllable in comparison to age-related systemic changes and genetic factors. According to several recently published studies, a diet characterized by an adequate intake of protein, a high intake of essential amino acids (EAA), particularly leucine-rich food such as beef, fish, and legumes and supplementation of vitamin D, is associated with a reduced risk for developing sarcopenia [
4‐
6]. However, other lifestyle habits such as chronic alcohol consumption and smoking may promote loss of muscle mass and strength in old age indicating that they may be risk factors for sarcopenia [
7,
8]. Some cross-sectional and prospective studies have demonstrated that higher levels of physical activity have positive effects on muscle mass or strength [
9,
10]. However, findings from other studies have conflicted regarding whether or not lower self-reported physical activity is associated with a greater likelihood of developing sarcopenia [
11]. Currently, a majority of studies on the association between sarcopenia and lifestyle are from Western countries. However, limited studies have reported on the prevalence and risk factors of sarcopenia in Chinese adults, particularly in community-dwelling individuals.
Family function has been found to be associated with health conditions of the elderly in several studies [
12,
13]. For example, many elderly adults with chronic health conditions have severe family dysfunction, and poor family function scores are correlated with the presence of chronic illness [
14]. For most elderly Chinese adults, families are their primary source of social support, which is a recognized determinant of health. However, presently, fewer studies have focused on the relationship between sarcopenia and family function.
Because genetic background, ethnicity, and living environment differ from other countries among the Chinese population, the precise factors associated with sarcopenia must be defined. Thus, the aim of this study was to determine the association of sarcopenia with lifestyle and family function among the community-dwelling population aged ≥60 years.
Results
Data from 834 participants were used for the analysis. The mean age was 68.57 ± 6.44 years (range: 60–92 years) and 419(50.2%) participants were female. Of the 834 community-dwelling elderly Chinese people, 88(10.6%) participants were classified as having sarcopenia. For male, 23(48.9%) of the participants with sarcopenia had low ASMI and low grip strength, 17(36.2%) had low ASMI and low usual gait speed, 7(14.9%) had both low muscle strength and low physical performance. These rates were 22(53.7%), 19(46.3%) and 0(0%) in women, respectively.
Table
1 presents the socioeconomic status and clinical characteristics of the participants by sex and sarcopenia status. Older participants were more likely to have sarcopenia than younger ones (
p < 0.001). Participants with sarcopenia had statistically significantly lower BMI, ASM, ASMI, handgrip strength, and usual walking speed than participants without sarcopenia. History of cardiac diseases, hypertension, and stroke was more common in sarcopenic men than in nonsarcopenic participants.
Table 1
Baseline characteristics profile of participants
Age, yrs., Mean(SD) | 73.64(7.25) | 68.28(6.24) | <0.001** | 72.85(6.98) | 67.76(6.03) | <0.001** |
Weight, Kg, Mean(SD) | 59.01(10.75) | 64.92(9.00) | <0.001** | 51.61(9.49) | 56.82(8.34) | <0.001** |
Height,cm, Mean(SD) | 160.19(5.31) | 164.50(6.04) | <0.001** | 151.22(6.09) | 152.99(5.96) | 0.071 |
BMI,kg/m2, Mean(SD) | 22.99(3.87) | 23.96(2.76) | 0.031* | 22.52(3.71) | 24.26(3.15) | 0.001** |
Appendicular muscle mass, kg, Mean(SD) | 15.41(2.07) | 17.29(2.55) | <0.001** | 11.64(1.17) | 13.33(1.98) | <0.001** |
ASMI, kg/m2, Mean(SD) | 5.99(0.63) | 6.38(0.80) | <0.001** | 5.09(0.46) | 5.69(0.72) | <0.001** |
Grip strength, kg, Mean(SD) | 25.99(5.21) | 36.09(6.29) | <0.001** | 17.53(3.19) | 22.99(4.46) | <0.001** |
Usual gait speed, m/s, Mean(SD) | 0.86(0.26) | 1.09(0.17) | <0.001** | 0.85(0.18) | 1.03(0.15) | <0.001** |
Education years, n(%) | |
0 | 5(10.6) | 5(1.4) | <0.001** | 6(14.6) | 9(2.4) | <0.001** |
1–6 | 28(59.6) | 156(42.4) | 25(61.0) | 145(38.4) |
7–9 | 6(12.8) | 49(13.3) | 5(12.2) | 57(15.1) |
10–12 | 7(14.9) | 153(41.6) | 5(12.2) | 159(42.1) |
>12 | 1(2.1) | 5(1.4) | 0 | 8(2.1) |
Diseases, n(%) |
Cardiac diseases | 5(10.6) | 14(3.8) | 0.035* | 1(2.4) | 17(4.5) | 0.537 |
Kidney disease | 1(2.1) | 4(1.1) | 0.538 | 0(0.0) | 7(1.9) | 0.380 |
Hypertension | 26(55.3) | 144(39.1) | 0.034* | 21(51.2) | 156(41.3) | 0.221 |
Stroke history | 2(4.3) | 2(0.5) | 0.014* | 0(0.0) | 4(1.1) | 0.508 |
Cancer | 0(0.0) | 2(0.5) | 0.612 | 0(0.0) | 2(0.1) | 0.541 |
Diabetes | 11(23.4) | 59(16.0) | 0.204 | 12(29.3) | 65(17.2) | 0.058 |
COPD | 1(2.1) | 3(0.8) | 0.386 | 0(0.0) | 7(1.9) | 0.380 |
MMSE scores | 26.6(1.9) | 27.1(2.4) | 0.079 | 25.4(4.0) | 26.3(3.2) | 0.088 |
GDS-15 scores | 1.6(1.3) | 1.5(1.7) | 0.780 | 1.8(1.9) | 1.5(1.9) | 0.414 |
Table
2 presents the lifestyle and family function score of participants by sex and sarcopenia status. Female participants who did not drink alcohol were more common in the sarcopenia group (
p < 0.05). For men, the level of physical activity was significantly different between participants with or those without sarcopenia. Female participants with sarcopenia had statistically significantly lower frequency per week of nut consumption than those without sarcopenia. However, no statistically significant difference in regard to food items was observed between men with and those without sarcopenia. The mean Family APGAR score was 8 (SD = 0.92). For both sexes, participants with sarcopenia had lower family function scores than those without sarcopenia. The prevalence rate of different levels of family function was significantly different in participants with or without sarcopenia for both sexes.
Table 2
Lifestyle and family function of participants
Smoking, n(%) |
Current Smokers | 14(29.8) | 106(28.8) | 0.413 | 0(0.0) | 9(2.4) | 0.445 |
Quitter | 15(31.9) | 151(41.0) | | 2(4.9) | 10(2.6) | |
Never Smokers | 18(38.3) | 111(30.2) | | 39(95.1) | 359(95.0) | |
Drinking, n(%) |
Not drink | 32(68.1) | 204(55.4) | 0.252 | 41(100.0) | 327(86.5) | 0.046* |
Drinking <2/week | 6(12.8) | 61(16.6) | 0(0.0) | 21(5.6) |
Drinking ≥2/week | 9(19.1) | 103(28.0) | 0(0.0) | 30(7.9) |
Present Physical activity, n(%) |
Low | 4(8.5) | 7(1.9) | 0.020* | 1(2.4) | 6(1.6) | 0.387 |
Moderate | 20(42.6) | 141(38.4) | 14(34.1) | 97(25.7) |
High | 23(48.9) | 219(59.7) | 25(61.0) | 275(72.7) |
Dietary Pattern(times per week, Mean(SD)) |
Grain,Cereals | 20.00(3.95) | 20.21(3.79) | 0.726 | 20.00(3.67) | 19.37(3.85) | 0.315 |
Vegetables | 14.98(12.61) | 17.12(11.66) | 0.242 | 18.22(11.11) | 16.90(11.92) | 0.498 |
Fruits | 5.11(3.90) | 5.22(3.71) | 0.840 | 5.39(3.29) | 6.44(3.53) | 0.071 |
Eggs | 5.36(3.02) | 4.86(2.89) | 0.263 | 4.32(2.62) | 4.73(2.72) | 0.355 |
Fish, shrimp | 1.04(1.49) | 0.85(1.29) | 0.353 | 0.98(1.54) | 0.90(1.30) | 0.744 |
Nuts | 0.19(0.74) | 0.61(1.90) | 0.135 | 0.05(0.22) | 0.81(2.11) | 0.022* |
Meat(pork,beef,mutton,poultry) | 8.87(4.79) | 9.54(5.01) | 0.386 | 9.54(4.72) | 9.15(4.50) | 0.604 |
Milk,milk products | 4.87(3.40) | 4.45(4.45) | 0.532 | 3.86(3.14) | 4.68(3.17) | 0.112 |
legumes | 3.02(4.26) | 2.28(2.57) | 0.090 | 2.17(3.32) | 2.23(2.61) | 0.888 |
Family function |
APGAR,Mean(SD) | 7.68(1.11) | 8.05(0.77) | 0.003** | 7.63(1.22) | 8.06(0.99) | 0.013* |
Good family function | 40(85.1) | 355(96.5) | 0.001** | 35(85.4) | 363(96.0) | 0.004** |
Moderate family dysfunction | 7(14.9) | 12(3.2) | | 5(12.2) | 9(2.4) | |
severe family dysfunction | 0(0.0) | 1(0.3) | | 1(2.4) | 6(1.6) | |
Live along, n(%) | 4(8.5) | 19(5.2) | 0.345 | 8(19.5) | 48(12.7) | 0.088 |
The association of lifestyle with sarcopenia is shown in Table
3. After adjustment for sex, age, educational levels, diabetes, hypertension, heart disease and stroke, a significant association was revealed between prevalence of sarcopenia and frequency per week of nut consumption (0.724, 95% CI 0.532–0.985;
P < 0.05). As for the other eight food items, no statistical significance was detected in either the unadjusted or adjusted models. In the unadjusted model, high level of physical activity (OR, 0.224; 95% CI, 0.074–0.672;
P = 0.008) and drinking ≥ 2 times per week (OR, 0.435; 95% CI, 0.206–0.919;
P = 0.029) was found to be associated with sarcopenia. However, the effect disappeared after adjusting for other covariates. Multiple logistic regression models were also used to examine the association of family function with sarcopenia in Table
3. There was a significant association of Family APGAR scores with sarcopenia (0.683, 95% CI 0.496–0.940,
P = 0.019).
Table 3
Unadjusted and adjusted model for factors related to Sarcopenia
Dietary pattern |
Grain, Cereals | 1.015(0.956–1.078) | 1.018(0.952–1.089) |
Vegetables | 0.998(0.979–1.017) | 1.001(0.980–1.023) |
Fruits | 0.956(0.895–1.022) | 0.961(0.888–1.039) |
Eggs | 1.007(0.932–1.088) | 0.996(0.914–1.087) |
Fish,shrimp | 1.061(0.913–1.232) | 1.012(0.866–1.181) |
Nuts | 0.702(0.516–0.956)*
| 0.724(0.532–0.985)*
|
Meat | 0.993(0.946–1.042) | 1.000(0.948–1.054) |
Milk, milk products | 0.990(0.932–1.052) | 0.957(0.883–1.037) |
Legumes | 1.034(0.962–1.112) | 1.016(0.941–1.098) |
Physical activity |
Low | 1(reference) | 1(reference) |
Moderate | 0.337(0.111–1.026) | 0.407(0.093–1.779) |
High | 0.224(0.074–0.672)*
| 0.372(0.085–1.634) |
Smoking |
Never Smoker | 1(reference) | 1(reference) |
Current smokers | 1.137(0.630–2.053) | 1.365(0.585–3.186) |
quitter | 0.773(0.426–1.403) | 0.637(0.286–1.423) |
Drinking |
Not drink | 1(reference) | 1(reference) |
Drinking <2/week | 0.530(0.218–1.294) | 0.610(0.235–1.579) |
Drinking ≥2/week | 0.435(0.206–0.919)*
| 0.527(0.233–1.192) |
APGAR | 0.699(0.576–0.848)*
| 0.683(0.496–0.940)*
|
Discussion
The present study was performed to evaluate the prevalence of sarcopenia among Chinese community-dwelling people aged ≥60 years using the AWGS definition. Among the study population, 10.6% were diagnosed with sarcopenia. The prevalence of sarcopenia observed in this study was similar to the prevalence observed in Japanese and Korean populations, [
22,
23] however, lower than that in Caucasian populations, [
24,
25] This difference might partly originate from heterogeneity of study populations, but also due to the different techniques used to assess muscle mass.
Although sarcopenia can be explained by some fixed factors, many factors are not modifiable. This fact has led to increasing interest in the influence of lifestyle on muscle mass and function in older people. These factors include various aspects of food consumption patterns, physical activity, alcohol intake, and tobacco use. For older adults, altered taste and smell, social changes, and economic limitations may also lead to decreased food intake, [
26] especially a low nutrient intake. Inadequate intake of nutrients is one of the major mechanisms underlying sarcopenia. Recent studies have demonstrated that an intake of nutrients, in particular, protein intake, EAA, and Vitamin D, have an influence on skeletal muscle metabolism [
4‐
6]. In this study, after adjustment for sex, ages, educational levels, diabetes, hypertension, heart disease and stroke, the frequency per week of nut consumption was significantly associated with sarcopenia (0.724, 95% CI 0.532–0.985;
P < 0.05). An adequate intake of nuts may be a protective factor against sarcopenia. Most of the participants in the study had a diet inclusive of nuts, including peanuts, walnut kernels or cashews, which abound in EAA such as leucine, valine, methionine and tryptophan. Recent studies have demonstrated that the leucine attenuated skeletal muscle wasting occurs by an interaction with proteolytic pathways [
5]. Katsanos et al. has shown that increasing the proportion of leucine in a mixture of EAA given to elderly subjects can reverse the attenuated response of muscle protein synthesis [
27]. An adequate intake of nuts that are abundant in leucine may serve as a potential strategy to combat the progression of sarcopenia. Our study provided supporting evidence about the association of the intake of nutrients and sarcopenia.
Chronic alcohol intake and current smoking are other lifestyle habits that have been associated with sarcopenia in previous studies [
7,
8]. In the present study, after adjustment for sex, ages, educational levels, diabetes, hypertension, heart disease, and stroke, no significant difference was revealed between sarcopenia and these habits. This variance might be due to the type of questions regarding these habits on the questionnaire, which did not specify quantity or frequency of smoking or alcohol consumption, so we could not conclude whether or not there was an excess of alcohol and tobacco consumption in these participants. Therefore, the association between smoking and alcohol intake with sarcopenia should be further investigated. In the multivariate model, physical activity was not significantly associated with sarcopenia. Previous study showed resistance training was demonstrated to be more effective in attenuating the development of sarcopenia [
9,
28]. The conflicting results may be explained for the different physical activities. Because in the study participants only took part in some baseline physical activities, which may be inactive compared with other strength training programs.
For most Chinese elderly, families are the primary source of social support, which is a recognized determinant of health [
29]. Several studies found family function affected the health conditions and quality of the care and services for the aged with some chronic diseases [
30]. If older adults enjoy a well-functioning family life or family support, their health functions will also enable them to enjoy good daily functioning and self-care ability [
12]. However, presently few studies have focused on the relationship between family function and sarcopenia. To the best of our knowledge, this was the first research study that has focused on the association between family function and sarcopenia. In this study, after adjusting for age, sex, and education level, and medical disease, a significant association was found between family function score and sarcopenia. However, the latent basis of the association between family function and sarcopenia is uncertain. Family function is associated with psychological outcomes, metabolic control, and eating behaviors or dietary patterns in the elderly. These may be possible mechanisms to consider as an underlying basis of this association. Further studies should evaluate if good family function may be effective in lowering the risk of sarcopenia.
This study has several strengths. First, it is one of the studies in Asia to use the Asian Working Group for Sarcopenia criteria in Asia. Second, the study was conducted using a relatively large sample in China, which was a well-characterized population of community-dwelling older adults living in a defined geographical area. Our sample included participants that ranged in age from 60 to 92 years. There were several limitations of our study. First, the assessment of lifestyle and family function was based on cross-sectional measures, so it was not possible to determine causal relationships. Second, only ambulatory participants were surveyed because participants who were in hospitals or had serious diseases were not included.