Association between anemia and sarcopenia among Chinese elderly: A cross-sectional study based on the China health and retirement longitudinal study.

BACKGROUND: Evidence regarding the association between anemia and sarcopenia in the elderly population is limited and controversial. The purpose of this study was to investigate the association between anemia and sarcopenia in Chinese elderly. METHODS: The cross-sectional study used the third wave of data from the China Longitudinal Study of Health and Retirement (CHARLS). Participants were classified as sarcopenic versus non-sarcopenic according to the guidelines developed by the Asian Working Group for Sarcopenia (AWGS) 2019. Meanwhile, participants were defined for anemia using World Health Organization criteria. Logistic regression models were conducted to assess the association between anemia and sarcopenia. Odds ratios (OR) were reported to indicate the strength of the association. RESULTS: A total of 5016 participants were included in the cross-sectional analysis. The overall prevalence of sarcopenia in this population was 18.3 %. After adjusting for all potential risk factors, anemia and sarcopenia were independently associated (OR = 1.43, 95 % CI 1.15-1.77, P = 0.001). In terms of subgroups, the association of anemia with sarcopenia was also significant in people over 71 years of age (OR = 1.93, 95 % CI 1.40-2.66, P < 0.001), women (OR = 1.48, 95 % CI 1.09-2,02, P = 0.012), rural residents (OR = 1.56, 95 % CI 1.24-1.97, P < 0.001), as well as in people with low education (OR = 1.50, 95 % CI 1.20-1.89, P < 0.001). CONCLUSION: Anemia is an independent risk factor for sarcopenia among elderly Chinese population.

Associations of Pain and Sarcopenia with Successful Aging among Older People in China: Evidence from CHARLS.

OBJECTIVES: Sarcopenia and chronic pain are geriatric syndromes that negatively impact the lives of older people. The aim of this study was to explore the relationship among sarcopenia, pain, and successful aging among older persons participating in the China Health and Retirement Longitudinal Study (CHARLS). DESIGN: Cohort study with a 2-year follow-up. SETTING AND PARTICIPANTS: Data were derived from 2 waves of the CHARLS, and 4280 community-dwelling participants aged ≥ 60 years were included in the study. METHODS: Sarcopenia status was defined according to the Asian Working Group for Sarcopenia 2019 (AWGS 2019) criteria. Successful aging was defined following Rowe and Kahn's multidimensional model. Pain was assessed by a self-reported questionnaire. A generalized estimating equation (GEE) was used to examine the associations. RESULTS: Longitudinal results demonstrated that compared with no sarcopenia, possible sarcopenia [OR (95%CI): 0.600 (0.304~1.188)] was not significantly associated with successful aging. Pain only was strongly associated with successful aging [0.388 (0.251~0.600)], whereas the association between sarcopenia only and successful aging was weaker [0.509 (0.287~0.905)]. The likelihood of being successful aging was substantially lower in the presence of coexisting sarcopenia and pain [0.268 (0.108~0.759)]. CONCLUSIONS: Both pain and sarcopenia are significant predictors for achieving successful aging among community-dwelling older adults. Early identification of sarcopenia and pain permits the implementation of treatment strategies and presents an opportunity to mitigate the risk of being unsuccessful aging.

Daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals.

Appropriate daytime napping is associated with the decreased risk of cerebro-cardiovascular diseases, but whether daytime napping affects sarcopenia remains to be explored. Our study plans to examine the associations between sarcopenia with daytime napping and comorbidity. The study population came from the China Health and Retirement Longitudinal Study 2011-2015. Latent class analysis (LCA) was used to identify comorbidity profiles based on 14 doctor-diagnosed chronic diseases. Subsequently, smooth function and restricted cubic spline with three binomial regression models determined the associations between sarcopenia with daytime napping and comorbidity profiles. About 18.7% (2,894) and 5.4% (832) of 15,404 individuals were diagnosed with sarcopenia and severe sarcopenia. LCA delineated four classes as the best fit as follows: dominant heart diseases or risks (class 1, N = 2,203), dominant chronic lung diseases (class 2, N = 740), minimal or least diseases (class 3, N = 10,612, reference), and dominant digestive diseases and rheumatism (class 4, N = 1849). Compared with the reference group (class 3), the multivariate-adjusted ORs (95% CIs) of sarcopenia in model 3 were 0.72 (0.60-0.88) for class 1, 1.17 (0.92-1.51) for class 2, and 0.92 (0.77-1.09) for class 4. Smooth function and restricted cubic spline suggested that individuals who napped about 60 min seemingly had the lowest risk of sarcopenia. Individuals who napped for 1-59 min (adjusted OR = 0.80, 95% CI: 0.68-0.94) and 60-119 min (adjusted OR = 0.83, 95% CI: 0.72-0.95) had the significantly lower risk of sarcopenia but not severe sarcopenia than those who did not nap. Insufficient and excessive daytime napping might be associated with the increased risk of sarcopenia, especially in individuals with a dominant chronic lung disease profile.

Daytime napping and successful aging among older adults in China: a cross-sectional study.

BACKGROUND: The study aimed to examine the association between daytime napping and successful aging (including its five dimensions, "low probability of disease," "no disease-related disability," "high cognitive functioning," "high physical functioning," and "active engagement with life") among China's older adults using data from the Chinese Health and Retirement Longitudinal Study conducted in 2015. METHODS: Cross-sectional data were used in the analysis. Multivariable logistic regressions were conducted to investigate the association between daytime napping and successful aging, and stratified analyses were performed to explore differences in nighttime sleep duration. RESULTS: A total of 7469 participants were included in the analysis. Daytime napping was prevalent in China's older adults (59.3%). The proportion of study participants with "successful aging" was 13.7%. Additionally, 48.6, 91.7, 54.1, 78.5, and 49.1% participants achieved "low probability of disease," "no disease-related disability," "high cognitive functioning," "high physical functioning," and "active engagement with life," respectively. Compared with the 0 min/day napping group, the > 60 min/day napping group was associated with a lower probability of achieving successful aging (OR, 0.762; 95% CI, 0.583-0.996). In the nighttime sleep duration stratification, the findings showed that in the ≥8 h/night group, napping > 60 min per day was associated with a lower likelihood of aging successfully (OR, 0.617; 95% CI, 0.387-0.984). Considering the five dimensions of successful aging, moderate and long daytime napping were negatively associated with "low probability of disease"; long daytime napping had negative associations with "no disease-related disability" and "high physical functioning"; moderate daytime napping had positive associations with "high cognitive functioning" and "active engagement with life." CONCLUSIONS: Long daytime napping showed a lower likelihood of successful aging among the elderly in China. Special attention is necessary for elderly people who sleep for longer duration both during day and night. Biological and social factors affecting the relationship between daytime napping and successful aging need to be explored in depth in the future.

Prevalence and predictors of malnutrition in elderly Chinese adults: results from the China Health and Retirement Longitudinal Study.

OBJECTIVE: China has the largest population of elderly citizens in the world, with 177 million adults aged 60 years or older. However, no national estimate of malnutrition in elderly Chinese adults exists. We estimated the prevalence and predictors of malnutrition in this population. DESIGN: Data from the second wave of the Chinese Health and Retirement Longitudinal Study (CHARLS) include interview and biomarker data for 6450 subjects aged 60 years or older from 448 different communities in twenty-eight provinces, allowing for nationally representative results. Malnutrition was identified based on the ESPEN (European Society of Parenteral and Enteral Nutrition and Metabolism) criteria. We used multivariable regression to investigate the predictors of malnutrition, including demographic factors, marital status, self-reported health status, self-reported standard of living, health insurance status and education. SETTING: China. SUBJECTS: Community-dwelling Chinese adults aged 60 years or older. RESULTS: The prevalence of malnutrition in elderly Chinese adults was 12·6 %. Malnutrition was most common among those who were older (OR=1·09; 95 % CI 1·07, 1·10), male (OR=1·41; 95 % CI 1·10, 1·79), lived in rural areas (v. urban: OR=0·75; 95 % CI 0·57, 1·00) or lacked health insurance (P<0·01). CONCLUSIONS: The burden of malnutrition on elderly Chinese adults is significant. Based on current population estimates, up to 20 million are malnourished. Malnutrition is strongly associated with demographic factors, shows a trend to association with health status and is not strongly associated with standard of living or education. A coordinated effort is needed to address malnutrition in this population.