Associations between sarcopenia with asthmatic prevalence, lung function and comorbidity

Hu, Zhigang; Tian, Yufeng; Song, Xubin; Zeng, Fanjun; Yang, Ailan

doi:10.1186/s12877-022-03394-9

Cited by 16 publications

(8 citation statements)

References 33 publications

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“…However, this equation has been validated in the Chinese population ( 32 ). Our threshold for low ASM aligns with previous studies conducted by Hu et al ( 4 , 78 ). Furthermore, using an anthropometric equation for assessing low ASM may offer a cost-effective alternative to BIA or DXA, especially in large-sample population-based studies ( 79 ).…”

Section: Discussionsupporting

confidence: 89%

Depression and risk of sarcopenia: a national cohort and Mendelian randomization study

Zhong,

Jiang,

et al. 2023

Front. Psychiatry

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BackgroundDepression and the increased risk of sarcopenia are prevalent among the elderly population. However, the causal associations between these factors remain unclear. To investigate the potential association between depression and the risk of sarcopenia in older adults, this study was performed.MethodsIn the baseline survey, a total of 14,258 individuals aged 40 and above from the China Health and Retirement Longitudinal Study (2015) participated. We initially described the baseline prevalence of the disease. Then, logistic regression and restricted cubic spline (RCS) regression were conducted to assess the relationship between depression and sarcopenia. Subgroup analysis was performed to validate the robustness of the findings. Additionally, we conducted Mendelian randomization analysis using the inverse variance weighting estimator to assess the causal relationship between depression and sarcopenia. Furthermore, we adopted six methods, including MR-Egger, simple median, weighted median, maximum likelihood, robust adjusted profile score (RAPS), and MR Pleiotropy Residual Sum and Outlier (MR-PRESSO), for sensitivity analyses.ResultsDepression patients exhibited higher risks of sarcopenia in all five models adjusting for different covariates (P < 0.05). The RCS analysis demonstrated a linear relationship between depression and sarcopenia (P < 0.05). In the subgroup analysis, increased risk was observed among participants aged 60−70, married or cohabiting individuals, non-smokers, non-drinkers, those with less than 8 h of sleep, BMI below 24, and individuals with hypertension (all P < 0.05). Mendelian randomization results revealed that genetically proxied depression led to a reduction in appendicular skeletal muscle mass (all P < 0.05).ConclusionOur study provides observational and causal evidences that depression can lead to sarcopenia. This finding emphasizes the importance of timely identification and management of depression, as well as implementing targeted educational programs as part of comprehensive strategies to prevent sarcopenia.

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Section: Discussionsupporting

confidence: 89%

Depression and risk of sarcopenia: a national cohort and Mendelian randomization study

Zhong,

Jiang,

et al. 2023

Front. Psychiatry

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“…Low muscle strength was measured by handgrip strength (<28.0 kg for men and <18.0 kg for women); meanwhile, gait speed <1.0 m/s and 5-time chair stand test ≥12 s were defined as low physical performance. The following anthropometric equation for the height-adjusted muscle mass (ASM/Ht 2 ) was used to determine whether low ASM exists in the Chinese population ( Wen et al, 2011 ; Hu et al, 2017 ; Yang et al, 2017 ; Wu et al, 2021 ; Gao et al, 2022 ; Hu et al, 2022 ): ASM/Ht 2 =(0.193*body weight +0.107* height - 4.157* gender - 0.037* age - 2.631)/height 2 . Similar to previous studies, the cut-off for defining low muscle mass was based on ASM/Ht 2 of the lowest 20th percentile of the study population.…”

Section: Methodsmentioning

confidence: 99%

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

Yang

Tian

et al. 2022

Front. Physiol.

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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.

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“…According to previous studies (Kim et al, 2015 ; Jiang et al, 2020 ; Hu Y. et al, 2022 ; Hu Z. et al, 2022 ; Gao K. et al, 2021 ), we collected some potentially confounding variables to adjust for the association between depression trajectory and possible sarcopenia. These variables included demographic characteristics (sex, age, urban/rural, education levels, and body mass index), physical/behavioral factors (smoking, drinking alcohol, and difficulty scores of mobility activities), and 13 physician-diagnosed comorbidities (hypertension, dyslipidemia, hyperglycemia, cancers, chronic lung disease, liver disease, heart disease, stroke, kidney disease, digestive disease, emotional or nervous problems, arthritis, and asthma).…”

Section: Methodsmentioning

confidence: 99%

The longitudinal association between possible new sarcopenia and the depression trajectory of individuals and their intimate partners

Tian

Song

et al. 2022

Front. Aging Neurosci.

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BackgroundIt is currently unknown whether the dynamic nature of depression affects the development of sarcopenia. Herein, this study aims to assess the association between possible new sarcopenia and the depression trajectory of individuals and their intimate partners through a 4-year longitudinal cohort study.MethodsOur study included 784 pairs of individuals without possible sarcopenia and their spouses from the China Health and Retirement Longitudinal Study (CHARLS) 2011. All individuals and their spouses received three assessments of the Center for Epidemiologic Studies Depression 10-item (CESD-10) scale in 2011, 2013, and 2015. According to the diagnostic algorithm recommended by the Asian Working Group for Sarcopenia (AWGS) 2019, we evaluated the incidence of possible sarcopenia in individuals in 2015. Latent class analysis (LCA) was used to identify a longitudinal depression trajectory of individuals and their spouses during a 4-year follow-up. Subsequently, we assessed the relationship between possible sarcopenia and depression trajectory using three generalized additive models.ResultsIn 2015, 24.87% (195/784) of individuals were diagnosed with possible sarcopenia. LCA identified five depression trajectories: a persistently high risk of depression in individuals and their spouses (reference; class 1 = 34 [4.3%]); a persistently low risk of depression in individuals and their spouses (class 2 = 526 [67.1%]); a high risk of depression in individuals and a low risk of depression in spouses (class 3 = 46 [5.9%]); a low risk of depression in individuals and a high risk of depression in spouses (class 4 = 116 [14.8%]); and a reduced risk of depression in individuals and their spouses (class 5 = 62 [7.9%]). The highest incidence of possible sarcopenia was shown in class 1, followed by classes 3 and 5. Classes 2 (adjusted relative risk (RR) = 0.44, 95% confidence interval (CI): 0.20–0.97) and 4 (adjusted RR = 0.40, 95%CI: 0.17–0.96) had a significantly lower incidence of possible sarcopenia than class 1. Subgroup analysis demonstrated that the incidence of possible sarcopenia in class 4 was obviously higher in women (38.89%) than in men (18.4%).ConclusionsOur study indicates a persistently high risk of depression in individuals to develop possible sarcopenia. In addition, a persistently high risk of depression in intimate partners potentially increases the risk of possible new sarcopenia, especially in female individuals who are at low risk of depression.

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Associations between sarcopenia with asthmatic prevalence, lung function and comorbidity

Cited by 16 publications

References 33 publications

Depression and risk of sarcopenia: a national cohort and Mendelian randomization study

Depression and risk of sarcopenia: a national cohort and Mendelian randomization study

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

The longitudinal association between possible new sarcopenia and the depression trajectory of individuals and their intimate partners

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