Dose-response relationship between daily step count and prevalence of sarcopenia: A cross-sectional study

[Prevalence of physical inactivity and risk of sarcopenia in primary care. Cross-sectional study]

OBJECTIVES

Assess the prevalence of physical inactivity and risk of sarcopenia in primary care patients and their companions.

DESIGN

Cross-sectional study. We carried out an anonymous survey of primary care users (patients and companions) in primary care consultations and stands coinciding with a community health activity for World Physical Activity Day. SITE: Five primary care centers (CAPs) of the South Metropolitan health region: in Cornellà de Llobregat (CAP Jaume Soler), in l'Hospitalet de Llobregat (CAP Florida Nord, CAP Florida Sud and CAP Bellvitge) and in Viladecans (CAP Maria Bernades) between 27 March to April 6, 2023 (coinciding with World Physical Activity Day).

PARTICIPANTS

Primary care population consists of patients and their companions over 18 years of age.

INTERVENTIONS

The health workers administered questionnaires to users and companions.

MAIN MEASUREMENTS

We evaluated physical inactivity with the BPAAT questionnaire, risk of sarcopenia with SARC-F screening test, sex and age range. We performed an univariate descriptive analysis to report prevalence.

RESULTS

Nine hundred ninety-eight participants were surveyed. Physical inactivity was present in 38.9% of the participants. Among those over 50 years (665 participants), 15.4% were at risk of sarcopenia (9.58% men, 19.2% women).

CONCLUSIONS

The prevalence of physical inactivity and risk of sarcopenia (in individuals over 50 years old) in the studied population is high. Women have greater physical inactivity and a greater risk of sarcopenia than men.

Sarcopenia risk, sarcopenia-related quality of life, and associated factors in people living with human immunodeficiency virus (HIV): A web-based survey

OBJECTIVES

We aimed to screen for the risk of sarcopenia and sarcopenia-related quality of life and associated factors of people living with HIV (PLWH).

RESEARCH METHODS AND PROCEDURES

This nonprobabilistic web-based survey evaluated PLWH. The participants were invited directly from a university-based inpatient clinic and responded to a web questionnaire that included the SARC-F and SarQoL to screen people at risk of sarcopenia and their quality of life. People at risk of sarcopenia were defined by the proposed cutoff points for SARC-F (≥ 4 points), and SarQoL overall score was categorized according to the median. Moreover, we performed a logistic regression to investigate associations between HIV-, lifestyle-, and health-associated factors (i.e., physical activity, dietary pattern, sleep quality, gastrointestinal symptoms, HIV diagnosis, type, combinations, and duration of ART, smoking, drinking, BMI, and weight loss), and outcomes (SARC-F and SarQoL).

RESULTS

The sample comprised 202 PLWH, mainly middle-aged (50.6-60.5 y; n = 101). Only 5.9% (n = 12) are at risk of sarcopenia according to SARC-F, and only 17.3% (n = 35) exhibited lower sarcopenia-related quality of life according to SarQoL. In the multiple models, only the gastrointestinal symptoms increased the odds of sarcopenia risk (OR: 1.058; P = 0.01) and poor sarcopenia-associated quality of life (OR: 1.041; P = 0.013).

CONCLUSIONS

We verified that only 5.9% and 17.3% of PLWH are at risk of sarcopenia and presented lower sarcopenia-related quality of life, respectively. Only the gastrointestinal symptoms were associated with a risk of sarcopenia and lower sarcopenia-related quality of life, without significant differences between age groups.

Machine Learning Applications in Sarcopenia Detection and Management: A Comprehensive Survey

This extensive review examines sarcopenia, a condition characterized by a loss of muscle mass, stamina, and physical performance, with a particular emphasis on its detection and management using contemporary technologies. It highlights the lack of global agreement or standardization regarding the definition of sarcopenia and the various techniques used to measure muscle mass, stamina, and physical performance. The distinctive criteria employed by the European Working Group on Sarcopenia in Older People (EWGSOP) and the Asian Working Group for Sarcopenia (AWGSOP) for diagnosing sarcopenia are examined, emphasizing potential obstacles in comparing research results across studies. The paper delves into the use of machine learning techniques in sarcopenia detection and diagnosis, noting challenges such as data accessibility, data imbalance, and feature selection. It suggests that wearable devices, like activity trackers and smartwatches, could offer valuable insights into sarcopenia progression and aid individuals in monitoring and managing their condition. Additionally, the paper investigates the potential of blockchain technology and edge computing in healthcare data storage, discussing models and systems that leverage these technologies to secure patient data privacy and enhance personal health information management. However, it acknowledges the limitations of these models and systems, including inefficiencies in handling large volumes of medical data and the lack of dynamic selection capability. In conclusion, the paper provides a comprehensive summary of current sarcopenia research, emphasizing the potential of modern technologies in enhancing the detection and management of the condition while also highlighting the need for further research to address challenges in standardization, data management, and effective technology use.