Clinical relevance of different handgrip strength indexes and cardiovascular disease risk factors: A cross-sectional study in suburb-dwelling elderly Chinese

The association between time-restricted eating and arterial stiffness status in community-dwelling elderly Chinese individuals

BACKGROUND AND AIMS

Emerging studies indicate that time-restricted eating (TRE) may protect against cardiovascular disease (CVD); however, studies performed in elderly adults are limited. This study aimed to analyze the association of TRE with arterial stiffness (AS) in community-dwelling elderly Chinese individuals.

METHODS AND RESULTS

This cross-sectional study recruited 3487 participants aged ≥60 y from Shanghai, China. TRE was determined by calculating the end time of the last meal minus the start time of the first meal of the average day. Participants were then categorized into those with a time-restricted window lasting ≤11 h (TRE) and >11 h (non-TRE). The mean age of the sample was 71.78 ± 5.75 y, and 41.2 % were men. Having a TRE pattern was 72.2 %. In the logistic analysis, TRE was associated with borderline arterial stiffness (OR = 1.419; 95 % CI = 1.077-1.869) and elevated arterial stiffness (OR = 1.699; 95 % CI = 1.276-2.263). In a subgroup analysis, the significance remained in the group at risk of malnutrition (with borderline arterial stiffness: OR = 2.270; 95 % CI = 1.229-4.190; with elevated arterial stiffness: OR = 2.459; 95 % CI = 1.287-4.700), while in well-nourished participants, the association only remained with elevated arterial stiffness (OR = 1.530; 95 % CI = 1.107-2.115) and not with borderline arterial stiffness.

CONCLUSIONS

TRE is a risk factor for both borderline and elevated arterial stiffness in community-dwelling Chinese individuals and varies by nutritional status. (Protocol code 2019-WJWXM-04-310108196508064467.).

Association of Multiple Cardiovascular Risk Factors with Musculoskeletal Function in Acute Coronary Syndrome Ward Inpatients

This study explored the association of multiple risk factors with musculoskeletal function in adults hospitalized for acute coronary syndrome. Sixty-nine inpatients (55 ± 6 years; 67% male) admitted to the cardiology ward within <12 h were assessed regarding stress, smoking, alcoholism, hypertension, diabetes mellitus, and obesity. The musculoskeletal function was assessed by predicted values of handgrip strength of the dominant hand (HGS-D%) and maximal inspiratory and expiratory pressures (MIP% and MEP%, respectively). After adjustment by age and sex, drinking habits showed the strongest linear association with the total number of cardiovascular disease risk factors [standardized ß, p-value] (ß = 0.110, p < 0.001), followed by smoking load (ß = 0.028, p = 0.009). Associations were also observed for HGS-D% with mean blood pressure (ß = 0.019 [0.001; 0.037], p = 0.048); MIP% with mean blood pressure (ß = 0.025 [0.006; 0.043], p = 0.013); and MEP% with drinking habits (ß = 0.009 [0.002; 0.016], p = 0.013) and body mass index (ß = 0.008 [0.000; 0.015], p = 0.035). Peripheral and respiratory muscle strength must be interpreted in the context of its association with cardiovascular disease risk factors in adults hospitalized for acute coronary syndrome.

Association between Grip Strength, Obesity, and Cardiometabolic Risk Factors among the Community-Dwelling Elderly Population in Taiwan

The aim of this study was to evaluate the association between grip strength, obesity, and cardiometabolic risk factors among elderly individuals with different grip strength statuses and weight statuses in Taiwan. We conducted a series of community-based health surveys among the elderly population in Chiayi County, Taiwan from 2017 to 2019. This is a cross-sectionally designed health check-up program that was conducted by the local public health bureau. Anthropometric characteristics, handgrip strength, diabetes, and cardiometabolic risk profiles were measured using standard methods. This study recruited 3739 subjects (1600 males and 2139 females). The non-obese subjects had lower blood glucose (BG) levels compared to the obese subjects. The BG levels of non-obese and obese subjects were 102.7 ± 25.6 mg/dL vs. 109.1 ± 34.3 mg/dL for males; and 102.8 ± 30.1 mg/dL vs. 112.5 ± 40.3 mg/dL for females (both p < 0.001). The grip strength was negatively associated with BG in both sexes (β = -0.357, p < 0.001 for males and β = -0.385, p < 0.05 for females). The relationship between the grip strength and the risk of diabetes showed that for every 1 kg increase in the grip strength, there was a 4.1% and 4.5% decrease in the risk for developing diabetes for males and females, respectively (OR = 0.959, 95% CI = 0.940-0.979 for males and OR = 0.955, 95% CI = 0.932-0.978 for females). A higher handgrip strength is associated with a lower BG level and a lower risk for diabetes mellitus in the elderly Taiwanese subjects. Additional health promotion should focus on the obese and sarcopenic population to prevent cardiometabolic comorbidities in later life.

Relationship between obesity-related anthropometric indicators and cognitive function in Chinese suburb-dwelling older adults

Background

Studies relating obesity to cognition in older people show conflicting results, which may be explained by the choice of obesity indicators.

Objectives

This study aimed to investigate the relationship between obesity-related indicators and cognitive impairment, especially between different age or gender subgroups, and explore whether obesity-related indicators were related to specific cognitive domains.

Methods

This was a cross-sectional study on 1753 participants aged ≥ 60 years (41.0% men; aged 71.36 ± 5.96 years). Obesity-related indicators included body mass index (BMI), waist circumference (WC), calf circumference (CC), waist to hip ratio (WHR), waist to calf circumstance ratio (WCR), fat to fat-free mass ratio (FM/FFM). The Mini-Mental State Examination scale (MMSE) was used to assess cognitive function. Cognitive impairment was defined as a score ≤ 17 for illiterates, ≤ 20 for participants with primary school education, and ≤ 24 for those with junior high school degrees or above. Multiple logistic regression analysis was used to estimate multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Restricted cubic splines were used to analyze and visualize the linear relationships.

Results

The prevalence of cognitive impairment was 18.77%. In the fully adjusted model, CC was negatively associated with cognitive impairment (OR = 0.94, 95% CI: 0.90−0.98). Further analysis showed that CC correlated positively with recall and place orientation. A higher FM/FFM was found to be associated with a higher prevalence of cognitive impairment (OR: 1.44, 95%CI: 0.88–2.35, P for trend = 0.029); this association was notable in women (P for trend = 0.002) and the oldest (P for trend = 0.009), and so did the potential effect of BMI on cognitive impairment (70–80 years: P for trend = 0.011; ≥ 80 years: P for trend = 0.013). No statistically significant association was found between cognitive impairment and WC, WHR, or WCR.

Conclusion

CC and FM/FFM were associated with cognitive impairment in older people. Future research needs to distinguish the effects of fat and muscle mass on cognitive function, with special attention to different ages and genders.

Biomarkers of Physical Frailty and Sarcopenia: Coming up to the Place?

Physical frailty and sarcopenia (PF&S) recapitulates all the hallmarks of aging and has become a focus in geroscience. Factors spanning muscle-specific processes (e.g., mitochondrial dysfunction in skeletal myocytes) to systemic changes (e.g., inflammation and amino acid dysmetabolism) have been pinpointed as possible contributors to PF&S pathophysiology. However, the search for PF&S biomarkers allowing the early identification and tracking of the condition over time is ongoing. This is mainly due to the phenotypic heterogeneity of PF&S, its unclear pathophysiology, and the frequent superimposition of other age-related conditions. Hence, presently, the identification of PF&S relies upon clinical, functional, and imaging parameters. The adoption of multi-marker approaches (combined with multivariate modeling) has shown great potential for addressing the complexity of PF&S pathophysiology and identifying candidate biological markers. Well-designed longitudinal studies are necessary for the incorporation of reliable biomarkers into clinical practice and for unveiling novel targets that are amenable to interventions.

Clinical relevance of different handgrip strength indexes and metabolic syndrome in Chinese community-dwelling elderly individuals

PURPOSE

Currently there is no consensus on the correlation between metabolic syndrome (MetS) and muscle strength. The objective of this study was to examine the associations between MetS and its components and different handgrip strength (HS) indexes among Chinese community-dwelling elderly individuals. In addition, we hoped to find an optimal cutoff point for the index most relevant to MetS.

METHODS

Data were obtained from 909 participants aged ≥ 60 years (385 men, average age, 68.0 ± 5.9 y). We used the International Diabetes Federation metabolic syndrome guidelines to define MetS. General data of all participants were collected through questionnaires and anthropometric data were measured. At the same time, blood samples were collected.

RESULTS

The prevalence of MetS was 26.8 % in men and 46.9 % in women. In all HS indexes, HS/body fat mass was most strongly correlated with MetS, and the areas under the receiver-operating characteristic curve were 0.723 (95 % confidence interval [CI] = 0.669-0.776) in men and 0.619 (95 % CI = 0.571-0.667) in women, and the optimal cutoffs were 1.92 in men and 1.25 in women. The adjusted odds ratios (ORs) of MetS for low HS/body fat mass were 5.38 (95 % CI = 3.03-9.56, p < 0.001) in men and 2.39 (95 % CI = 1.56-3.64, p < 0.001) in women.

CONCLUSIONS

HS/body fat mass appears to be the index best associated with MetS and its components, and in men it is more relevant than in women.