Height loss as an indicator of ageing through its association with frailty and sarcopenia: An observational cohort study

Association between Height-Changing Scores and Risk of Sarcopenia Estimated from Anthropometric Measurements in Older Adults: A Cross-Sectional Study

Anthropometric assessments are commonly used to diagnose sarcopenia in older adults. However, the ongoing exploration of novel approaches aims to improve the early detection of sarcopenia. This study investigated the association between the height-changing score (HCS) and the risk of sarcopenia defined by anthropometric measurements in 340 older adults (mean age: 66.2 years). The HCS derived from the difference in height and demi-span equivalent height (DEH) was used as an indicator of declining height in the older adults. Multivariate logistic regression analysis revealed a significant association between the HCS and the risk of sarcopenia in both male and female older adults (OR = 1.146, 95% CI [1.021, 1.286], p = 0.021). In addition, income, BMI, and nutritional status were significantly associated with the risk of sarcopenia (OR = -1.933, 95% CI [0.271, 0.986], p = 0.045; OR = -2.099, 95% CI [0.386, 0.587], p < 0.001; OR = -1.443, 95% CI [0.555, 0.866], p = 0.001, respectively). The white blood cell count, lymphocyte count, and HDL cholesterol were blood biomarkers significantly correlated with calf circumference. It can be suggested that the HCS acts as an indicator and screening tool for sarcopenia risk in older adults, highlighting the potential impact of decreased height on muscle mass loss. Encouraging nutritional support can help mitigate the risk of sarcopenia.

Age-Dependent Association of Height Loss with Incident Fracture Risk in Postmenopausal Korean Women

BACKGRUOUND

Height loss is a simple clinical measure associated with increased fracture risk. However, limited data exists on the association between height loss and fracture risk in postmenopausal Korean women. It is unknown whether this association varies with age.

METHODS

Data on height loss over a 6-year period were collected from a community-based longitudinal follow-up cohort (Ansung cohort of the Korean Genome and Epidemiology Study). Incident fractures were defined based on self-reported fractures after excluding those due to severe trauma or toes/fingers. The association between incident fractures and height loss was investigated using a Cox proportional hazards model.

RESULTS

During a median follow-up of 10 years after the second visit, 259/1,806 participants (median age, 64 years) experienced incident fractures. Overall, a 1 standard deviation (SD) decrease in height (1.6 cm/median 5.8 years) was associated with 9% increased risk of fracture (hazard ratio [HR], 1.09; P=0.037), which lost statistical significance after adjustment for covariates. When stratified into age groups (50-59, 60-69, 70 years or older), a 1 SD decrease in height remained a robust predictor of fracture in the 50 to 59 years age group after adjusting for covariates (adjusted hazard ratio [aHR], 1.52; P=0.003), whereas height loss was not an independent predictor of fracture in the 60 to 69 (aHR, 1.06; P=0.333) or the 70 years or older age groups (aHR, 1.05; P=0.700; P for interaction <0.05, for all).

CONCLUSION

Height loss during the previous 6 years was associated with an increased 10-year fracture risk in postmenopausal women in their 50s.

Establishment and evaluation of a novel practical tool for the diagnosis of pre-sarcopenia in young people with diabetes mellitus

OBJECTIVE

Sarcopenia has been recognized as a third category of complications in people with diabetes. However, few studies focus on the reduction of skeletal muscle mass in young people with diabetes. The aim of this study was to investigate risk factors of pre-sarcopenia in young patients with diabetes and establish a practical tool to diagnose pre-sarcopenia in those people.

METHODS

Patients (n = 1246) enrolled from the National Health and Nutrition Examination Survey (NHANES) cycle year of 2011 to 2018 were randomly divided into the training set and validation set. The all-subsets regression analysis was used to select the risk factors of pre-sarcopenia. A nomogram model for the prediction of pre-sarcopenia in the diabetic population was established based on the risk factors. The model was evaluated by the area under the receiver operating characteristic curve for discrimination, calibration curves for calibration, and decision curve analysis curves for clinical utility.

RESULTS

In this study, gender, height, and waist circumference were elected as predictive factors for pre-sarcopenia. The nomogram model presented excellent discrimination in training and validation sets with areas under the curve of 0.907 and 0.912, respectively. The calibration curve illustrated excellent calibration, and the decision curve analysis showed a wide range of good clinical utility.

CONCLUSIONS

This study develops a novel nomogram that integrates gender, height, and waist circumference and can be used to easily predict pre-sarcopenia in diabetics. The novel screen tool is accurate, specific, and low-cost, highlighting its potential value in clinical application.

Number of Teeth and Denture Use Are Associated with Frailty among Chinese Older Adults: A Cohort Study Based on the CLHLS from 2008 to 2018

OBJECTIVES

The aim of this study was to determine the association between oral health and the development of frailty over a 10-year period in older Chinese adults.

DESIGN

This was a cohort study.

SETTING AND PARTICIPANTS

The data in this study were derived from the 2008, 2011, 2014 and 2018 waves of the Chinese Longitudinal Health Longevity Survey (CLHLS). The final analysis included 1155 older adults who had complete data for the Frailty Index (FI) and the other factors(oral health, sociodemographics, etc) that were analyzed in the study.

MEASUREMENTS

Frailty was assessed by the FI, which consists of 40 deficits(self-health assessments, diseases, physical functions,etc). Multivariable logistic regression was carried out to calculate the odds ratios (ORs) of the independent variables,which were obtained from investigator surveys and self-reports, in association with the development of frailty.

RESULTS

The prevalence of frailty at baseline was 22.94%, and the 10-year incidence of frailty was 24.16% (215/890). Age, number of natural teeth, use of dentures, toothache and sex were independent risk factors for frailty at baseline. After full adjustment, multivariate logistic regression analysis indicated that compared with having ≥21 teeth, edentulism (ORs 3.575; 95% CI 2.095,6.101) and partial tooth loss (ORs 2.448; 95% CI 1.592,3.766) were associated with progression to frailty. Compared with those with ≥21 teeth, those with <21 teeth and without dentures (ORs 2.617; 95% CI 1.713,3.999) were more likely to progress to frailty.

CONCLUSION

The loss of natural teeth is associated with the progression of frailty in older Chinese adults and denture using can help lower the odds of being frailty. Further research on maintain natural teeth and the appropriate use of dentures may help to establish effective frailty prevention strategies for the older adults.