Sarcopenic Obesity In Older Adults Research Articles

News in the diagnosis of sarcopenic obesity in older adults

News in the diagnosis of sarcopenic obesity in older adults

Abstract 4122780: Muscle Quality Defines Sarcopenic Obesity in Older Adults In Association with Cardiac Function

Background: Obesity phenotypes are increasingly used to define cardiovascular diseases (CVD) risks. Age-related deteriorations in skeletal muscle function have ignited interest in the co-occurrence of sarcopenia and obesity in older adults. However, the traditional definition of sarcopenia (low appendicular skeletal mass [ASM] and handgrip strength [HGS]) may lead to underdiagnosis of sarcopenic obesity (SO) in overweight individuals (due to higher muscle mass). To address this enigma, we evaluated the use of muscle quality (MQ), as an alternative metric for SO, in association with cardiac function. Methods: Community older adults without CVD were prospectively annotated for skeletal mass, HGS and cardiac function via bioimpedance analysis, dynamometer, and simultaneous acquisition of echocardiography respectively. Sarcopenia was defined by low ASM and low HGS. Low MQ (HGS divided by upper body ASM) was defined by males<5.76kg/kg and females<5.475kg/kg. Aerobic capacity (VO2 max,ml/kg/min) was computed by a physical activity prediction model. Mitral early diastolic inflow velocity to early diastolic annular tissue velocity (E/e’) and early to late diastolic inflow velocity (E/A) ratios were recorded. Results: Overall, low MQ was prevalent (34.3%) in n=574 participants (59% females), but only 17.4% fulfilled sarcopenia diagnosis. Higher BMI correlated with higher ASM but lower MQ (Fig 1). Low MQ prevalence was higher in the obese compared to the non-obese (64.7% vs 30.2%, p<0.0001). Low MQ group was significantly older (69.0±10.4 vs 64.8±14.0 years, p<0.0001), had higher prevalence of dyslipidemia (49.2% vs 40.9% p=0.002) and hypertension (45.2% vs 39.3% p<0.0001) than the normal MQ group. The low MQ group had greater left ventricular mass (129±45 vs 114±44, grams, p<0.0001), left atrial volumes (37±14 vs 33±13, ml, p=0.001), and demonstrated a greater degree of diastolic dysfunction (lower E/A (0.89±0.28 vs 1.1±0.49, p<0.0001 and higher E/e’(8.63±2.42 vs 8.00±2.58, p=0.005), compared to the high MQ. VO2 max was lower in low MQ group (33±5.7 vs 36±6.7, p<0.0001). By regression, low MQ was associated with E/A (β=-0.119, adjusted p<0.0001) and VO2 max (β=-0.137, p<0.0001) (Table 1). Conclusion: Muscle quality is a useful metric of muscle function for sarcopenia in obese older adults. The associations between low MQ with diastolic dysfunction and reduced aerobic capacity corroborate the clinical impact of MQ as a defining metric of sarcopenia in obesity.

The prevalence of sarcopenic obesity in older adults with obesity differs between the use of the chair stand test and handgrip strength as measure of altered muscle function

The prevalence of sarcopenic obesity in older adults with obesity differs between the use of the chair stand test and handgrip strength as measure of altered muscle function

The Performance and Associated Risks of the Criteria for Sarcopenic Obesity Proposed by the European Association for the Study of Obesity in a Geriatric Population

Background: There is no gold standard definition of sarcopenic obesity (SO). Our objective is to evaluate the benefit of using the new definition proposed by the European Association for the Study of Obesity (EASO) in older people. Methods: Data from the Toledo Study of Healthy Aging, a study based on a cohort of community-dwelling older adults, were used. SO was defined according to the EASO and by a composite of the Foundation for the National Institute of Health (FNIH) for the diagnosis of sarcopenia and the WHO’s criteria for obesity (Body Mass Index, BMI ≥ 30 kg/m2; waist circumference, >88 cm for women and >102 cm for men). Frailty [Frailty Phenotype (FFP) and Frailty Trait Scale-5 (FTS5)] and disability (Katz Index) statuses were assessed at baseline and at the follow-up (median 2.99 years). Mortality at a 5-year follow-up was also assessed. The Logistic and Cox regression models were used to assess the associations. Results: Of the 1559 subjects (age 74.79 ± 5.76 years; 45.54% men), 30.15% (EASO/ESPEN) vs. 16.36% (FNIH) met the SO criteria (Kappa = 0.42). SO was associated with the prevalence of frailty by both the EASO’s [OR(95%CI): FFP: 1.70 (1.33–2.16); FTS-5 binary: 2.29 (1.60–3.27); β(95%CI): FTS-5 continuous 3.63 (3.00–4.27)] and FNIH+WHO’s criteria [OR (95%CI): 2.20 (1.61, 3.00)]. The FNIH + WHO’s criteria were cross-sectionally associated with disability [OR: 1.52 (1.07, 2.16); p-value 0.018], while the EASO’s criteria were not. The EASO’s criteria did not show any association at the follow-up, while the FNIH + WHO’s criteria were associated with incident frailty. Conclusions: The EASO’s new criteria for sarcopenic obesity demonstrate moderate agreement with the traditional definition and are cross-sectionally associated with adverse events, but they do not effectively predict the outcomes generally associated with sarcopenic obesity in older adults. Therefore, the performance of the EASO’s criteria in older people raises the need for refinement before recommending it for generalized use in this population.

Neural network model for prediction of possible sarcopenic obesity using Korean national fitness award data (2010–2023)

Sarcopenic obesity (SO) is characterized by concomitant sarcopenia and obesity and presents a high risk of disability, morbidity, and mortality among older adults. However, predictions based on sequential neural network SO studies and the relationship between physical fitness factors and SO are lacking. This study aimed to develop a predictive model for SO in older adults by focusing on physical fitness factors. A comprehensive dataset of older Korean adults participating in national fitness programs was analyzed using sequential neural networks. Appendicular skeletal muscle/body weight was defined as SO using an anthropometric equation. Independent variables included body fat (BF, %), waist circumference, systolic and diastolic blood pressure, and various physical fitness factors. The dependent variable was a binary outcome (possible SO vs normal). We analyzed hyperparameter tuning and stratified K-fold validation to optimize a predictive model. The prevalence of SO was significantly higher in women (13.81%) than in men, highlighting sex-specific differences. The optimized neural network model and Shapley Additive Explanations analysis demonstrated a high validation accuracy of 93.1%, with BF% and absolute grip strength emerging as the most influential predictors of SO. This study presents a highly accurate predictive model for SO in older adults, emphasizing the critical roles of BF% and absolute grip strength. We identified BF, absolute grip strength, and sit-and-reach as key SO predictors. Our findings underscore the sex-specific nature of SO and the importance of physical fitness factors in its prediction.

Mapping Knowledge Landscapes and Emerging Trends of Sarcopenic Obesity in Older Adults: A Bibliometric Analysis From 2004 to 2023.

Background The prevalence of obesity in combination with sarcopenia, the age-related loss of muscle mass and strength or physical function, is on the rise among adults aged 65 years and older. A significant portion of this demographic now falls under the classification of sarcopenic obesity, a high-risk geriatric syndrome predominantly seen in an aging population vulnerable to compounded complications from both sarcopenia and obesity. It is essential to promptly evaluate the impact of academic research in this field, taking into account factors such as geographical regions, authors, journals, and institutions. Furthermore, exploring current topics and identifying potential areas that could inspire future researchers to conduct additional studies is crucial for advancing overall health in this population. Methodology A search was conducted in the Web of Science Core Collection database to identify English language articles and reviews focusing on sarcopenic obesity in older adults, published between January 1, 2004, and December 31, 2023. Bibliometric analysis was performed using VOSviewer (v.1.6.18) and CiteSpace (v.6.1.R2). Results A total of 985 original English-language articles were collected, consisting of 783 articles and 202 reviews. The volume of research publications in this field has shown significant growth since 2012. The United States leads in contributions, with 239 articles (24.3% of the total) and the highest number of citations at 18,403, along with the highest total link strength. The University of Melbourne in Australia stands out with 25 published articles (2.5% of the total). University of Verona in Italy has the most citations at 9,405, and Monash University in Australia has the highest total link strength at 53. Among prolific authors, John A. Batsis from Duke University is the most productive with 24 articles (2.4% of the total). The journal "Nutrients" has the most articles on sarcopenic obesity in older adults, publishing 54 articles (5.5% of the total). Key topics in this area include sarcopenia, obesity, sarcopenic obesity, and elderly. Recent interventions focus on "nutrition" and "exercise" for sarcopenic obesity in older adults. Conclusions Research on sarcopenic obesity in older adults has seen significant growth on a global scale from 2004 to 2023, indicating a promising area for further study with potential benefits from current advancements. Although academic inquiries have shed light on various aspects of sarcopenic obesityin older adults, there remains a noticeable dearth of clinical research and evidence-based medicine on the effective management of this condition in elderly individuals. Future studies could focus on developing tailored interventions for older adults with sarcopenic obesity.

Sarcopenic obesity in older adults

Sarcopenic obesity in older adults

A New Challenge in Treatment of Sarcopenic Obesity in Older Adults: A Systematic Review

Introduction: Sarcopenic obesity (SO) defined as a phenotype of coexistence of sarcopenia, is an age-related loss of muscle mass and strength or physical performance, and obesity. It is crucial to determine the best management strategy for sarcopenic obese patients in order to improve life expectancy. The goal of this review is to provide an overview of sarcopenic obesity treatment for older persons. Methods: PubMed searches were conducted for ‘sarcopenic obesity treatment’ and ‘sarcopenic obesity elderly treatment’ from a database through the past 10 years. All articles available in English identified by these searches were then reviewed in detail Result: At present, the optimal treatment of sarcopenic has not been established. Nutritional interventions, such as a hypocaloric diet, and exercise training or physical therapy are the mainstay of SO prevention and treatment to achieve changes in body composition (muscle gain and fat reduction) and improve the functional status and quality of life of elderly patients. Conclusion: To further our understanding of SO, it is essential that clinicians and researchers establish a universal consensus for the definition and diagnosis of SO and focus on SO treatment and promote healthy aging. 
 
 Keywords: sarcopenic obesity, elderly, treatment

Body composition assessment for sarcopenic obesity and 3-year mortality in older adults: A comparison study.

There is no universally accepted definition of sarcopenic obesity (SO), and its prevalence is ambiguous. This study aimed to investigate the prevalence of SO in older adults based on different definitions and determine which predicts all-cause mortality. This prospective longitudinal follow-up study included outpatients aged ≥60 years. SO was defined by sarcopenia definition based on the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria plus obesity. Three different methods were used to define obesity. Body mass index (BMI) ≥ 30 kg/m2, waist circumference (WC) ≥ 102 cm for men and ≥88.0 cm for women, and body fat percentage (BF%) ≥ 37.3% for men and ≥51.1% for women. Different definitions of SO and their mortality predictions were compared. The median age of the 584 patients in the study was 70.0 (interquartile range, 66.0-76.0) years. The prevalence of sarcopenia was 38.5% (47.5% in men and 35.7% in women). The prevalence of SO based on BMI, WC, and BF% was 15.3%, 16.4%, and 10.5%, respectively. The mortality rate was 6.7%. SO based on BMI (odds ratio [OR], 2.73; 95% CI, 1.12-17.9; P = 0.024) and BF% (OR, 1.43; 95% CI, 1.19-3.02; P = 0.007) were significantly associated with 3-year mortality after adjusting for the confounding variables of age, sex, and number of comorbidities. SO based on WC was not associated with mortality (OR, 0.78; 95% CI, 0.07-1.27; P = 0.104). The use of BF% and BMI for defining SO is appropriate in outpatient older adults.

Sarcopenic obesity in older adults: a clinical overview.

Sarcopenic obesity is characterized by a concurrent decline in muscle mass and function, along with increased adipose tissue. Sarcopenic obesity is a growing concern in older adults owing to significant health consequences, including implications for mortality, comorbidities and risk of developing geriatric syndromes. A 2022 consensus statement established a new definition and diagnostic criteria for sarcopenic obesity. The pathophysiology of this condition involves a complex interplay between muscle, adipose tissue, hormonal changes, inflammation, oxidative stress and lifestyle factors, among others. Sarcopenic obesity is treated with a range of management approaches, such as lifestyle interventions, exercise, nutrition and medical therapies. Emerging therapies that were developed for treating other conditions may be relevant to sarcopenic obesity, including novel pharmacological agents and personalized approaches such as precision medicine. In this Review, we synthesize the current knowledge of the clinical importance of sarcopenic obesity, itsassessment and diagnosis, along with current andemerging management strategies.

Sarcopenic Obesity Burden, Determinants, and Association With Risk of Frailty, Falls, and Functional Impairment in Older Adults With Diabetes: A Propensity Score Matching Analysis.

Sarcopenic obesity (SO) is a medical and functional state characterized by the coexistence of excessive adipose tissue and sarcopenia inside an individual. Recent epidemiological studies suggest a rising prevalence of SO in patients with diabetes mellitus (DM) probably due to the conducive environment resulting from adipose tissue dysfunction and muscle wasting accelerated by insulin resistance, chronic inflammation, and altered protein metabolism. Individuals with SO may have higher risk of experiencing falls, frailty, and disabilities due to compromised musculoskeletal integrity, gait abnormalities, and reduced functional capacity.The primary study objective was to determine the prevalence and predictors of SOamong older adults with a history of DM. The secondary objective was to assess the association of falls, frailty, and functional disabilitywith SO in patients with DM. This cross-sectional study analyzed data from the nationally representative Longitudinal Aging Study in India (LASI) Wave 1, focusing on individuals aged 60 and above, with an emphasis on diabetes. SOwas assessed using the Asian Working Group for Sarcopenia criteria. Propensity score matching (PSM), logistic regression, and mediation analysis were used to explore relationships between diabetes, SO, and health outcomes (falls, frailty, and disabilities). Among 31,902 participants aged 60 and above, 14.26% had diabetes, and 17.67% of those with diabetes exhibited SO. Female gender (aOR = 2.63) and urban residence (aOR = 1.40) were significantly associated with higher odds of SO in individuals with diabetes. PSM analysis revealed a 9.0% higher likelihood of SO in older adults with DM than those without DM. SO was further linked to increased risk of falls, frailty, and various levels of activities of daily living (ADL) and instrumental activities of daily living (IADL) disabilities, with significant mediation effects ranging from 3.67% to 45.81%. Diabetes substantially increases the risk ofSO and associated functional disability with the risk of falls in older adults.Standard diabetes care should integrate health promotion especially nutritionto mitigate the risk of SO-linked functional disability and falls.

Food insecurity as a risk factor of sarcopenic obesity in older adults.

Sarcopenic obesity is characterized by the loss of muscle strength, mass and muscle functionality and increased adipose tissue (obesity) according to different criteria and cut-off points. The prevalence of sarcopenic obesity among older adults is growing worldwide, and many factors are involved in its development. Diet and food security have been described as the main contributors to the development of obesity and sarcopenia. Food insecurity consists of limited or uncertain access to adequate and nutritious foods. This narrative review aims to summarize the existing data on food insecurity as a risk factor for sarcopenic obesity in the elderly.

Assessment of existing anthropometric indices for screening sarcopenic obesity in older adults.

Sarcopenic obesity is defined as the presence of high fat mass and low muscle mass combined with low physical function, and it is closely related with the onset of cardiovasular diseases (CVD). The existing anthropometric indices, which are being utilised in clinical practice as predictors of CVD, may also be used to screen sarcopenic obesity, but their feasibility remained unknown. Using cross-sectional data of 2031 participants aged 70-84 years (mean age, 75·9 ± 3·9 years; 49·2 % women) from the Korean Frailty and Aging Cohort Study, we analysed the association of anthropometric indices, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and weight-adjusted waist index (WWI) with sarcopenic obesity. Body composition was measured using dual-energy X-ray absorptiometry. Higher WWI, WHtR and WC quartiles were associated with higher risk of sarcopenic obesity; the odds ratio(OR) of sarcopenic obesity were highest in the fourth quartile of the WWI (OR: 10·99, 95 % CI: 4·92-24·85, Pfor trend < 0·001). WWI provided the best diagnostic power for sarcopenic obesity in men (area under the receiver operating characteristic curve: 0·781, 95 % CI: 0·751-0·837). No anthropometric indices were significantly associated with sarcopenic obesity in women. WWI was the only index that was negatively correlated with physical function in both men and women. WWI showed the strongest association with sarcopenic obesity, defined by high fat mass and low muscle mass combined with low physical function only in older men. No anthropometric indices were associated with sarcopenic obesity in older women.

PHYSICAL ACTIVITY AND SARCOPENIC OBESITY IN OLDER ADULTS

Background: Sarcopenic obesity causes a decline in the ability to perform activities of daily living and instrumental activities of daily living in older adults. Physical activity is defined as the movement of any body part derived from the work of skeletal muscle, which leads to energy consumption. Physical activity comprises not only exercise but also all activities of daily life and promotes benefits of health outcomes, with the shift from a sedentary lifestyle to that including physical activity of any intensity (including light intensity) even leading to health benefits. Objective: The current study aims to review the associations of aerobic exercise, resistance exercise, and physical activity with body composition, physical performance, and activities of daily living in older adults with sarcopenic obesity, including older adults requiring assistance with the performance of activities of daily living. Results: Resistance and aerobic exercises could have positive effects on muscle mass, body fat, and physical performance in older adults with sarcopenic obesity. Besides, physical activity may reduce the risk of sarcopenic obesity in older adults. Conclusion: There has been a paucity of studies particularly on whether physical activity could still prevent the risk of sarcopenic obesity and improve muscle mass, body fat, physical performance, and the capacity for activities of daily living and instrumental activities of daily living in older adults with sarcopenic obesity, including older adults with sarcopenic obesity requiring care. Future studies need to additionally clarify whether physical activity affects the risk of sarcopenic obesity and promotes benefits in body composition, physical performance, and the capacity for activities of daily living in older adults and older adults with sarcopenic obesity requiring care.

Sarcopenic Obesity: An Emerging Public Health Problem.

Population aging and the obesity epidemic are important global public health problems that pose an unprecedented threat to the physical and mental health of the elderly and health systems worldwide. Sarcopenic obesity (SO) is a new category of obesity and a high-risk geriatric syndrome in the elderly. SO is associated with many adverse health consequences such as frailty, falls, disability, and increased morbidity and mortality. The core mechanism of SO is the vicious circle between myocytes and adipocytes. In order to implement effective prevention and treatment strategies and reduce adverse clinical outcomes, it is essential to further our understanding of SO in the elderly. Herein, we reviewed the definition, diagnosis, epidemiology, pathogenesis, and treatment of SO in older adults.

Sarcopenic Obesity in Older Adults: Findings From the National Health and Aging Trends Study

There is substantial heterogeneity in the impact of multimorbidity on functional, cognitive, and emotional health. Few studies, however, have examined this simultaneously across these multiple domains. We used finite mixture modeling to identify latent clusters of individuals following similar joint trajectories of multimorbidity, functional ability, cognitive performance, and depressive symptoms among 11,841 HRS respondents aged 65+ from 1998 to 2014. We identified four distinct clusters of joint trajectories: (1) 32.5% of the sample were characterized by low multimorbidity (mean = 0.60 conditions at age 65; 2.2 conditions at age 90), minimal deterioration in functional or cognitive ability, and low depressive symptoms; (2) 33.5%, had increased multimorbidity compared with the first group (mean = 2.3 at age 65; 4.0 at age 90) but minimal functional or cognitive impairment and low depressive symptoms; (3) 19.9%, had relatively low multimorbidity (mean = 1.3 at age 65 increasing to 2.8 at age 90), but exhibited worsening cognitive performance, increasing functional limitations, and moderate depressive symptoms ; and (4) 14.1%, had higher multimorbidity (mean = 3.3 at age 65 increasing to 4.6 at age 90), worsening cognitive performance, substantial functional limitation, and high depressive symptoms. Black and Hispanic race/ethnicity, lower levels of income and education, male gender, and smoking history were significantly associated with membership in classes characterized by higher multimorbidity, cognitive and functional impairment, and greater depressive symptoms. This study provides insight into the heterogenous trajectories of aging and helps identify older individuals at higher risk for poor aging outcomes across multiple health domains.

Using Dietary Macronutrient Patterns to Predict Sarcopenic Obesity in Older Adults: A Representative Korean Nationwide Population-Based Study.

Older adults with sarcopenic obesity (SO) are at increased risk of adverse health outcomes. It has not been identified which pattern of macronutrient intake is appropriate in relation to SO. We aimed to compare the patterns of macronutrient intake for predicting SO in older adults. Data from a total of 3828 older adults who participated in the 2008–2011 Korea National Health and Nutrition Examination Survey were analyzed. The one-day 24 h dietary recall method was used to assess macronutrient intake. SO was defined by a combination of body mass index (BMI) ≥ 25 kg/m2 and BMI adjusted-appendicular skeletal muscle mass <0.789 for men and <0.512 for women. Weighted logistic regression analysis revealed the odds ratio (95% confidence interval) for SO of total calorie intake per 100 increments and carbohydrate (CHO) intake (g/kg/day) per 1 increment to be 0.95 (0.91–0.99) and 0.83 (0.74–0.94), respectively, after adjusting for confounding variables in women. The predictive power for SO of CHO intake (g/kg/day) was higher compared with the other patterns of macronutrient intake both in men and women. In conclusion, total calorie intake and CHO intake (g/kg/day) are inversely related to SO in women. CHO intake (g/kg/day) could be the best index for determining SO.

Inflammation in Relation to Sarcopenia and Sarcopenic Obesity among Older Adults Living with Chronic Comorbidities: Results from the National Health and Nutrition Examination Survey 1999–2006

Loss of muscle mass and waning in muscle strength are common in older adults, and inflammation may play a key role in pathogenesis. This study aimed to examine associations of C-reactive protein (CRP) and systemic immune-inflammation index (SII) with sarcopenia and sarcopenic obesity in older adults with chronic comorbidities. Cross-sectional data from the National Health and Nutrition Examination Survey (1999–2006) were obtained for participants aged ≥60 years. Sarcopenia was defined by a lean mass and body height (males < 7.26 kg/m2, females < 5.45 kg/m2). Sarcopenic obesity was defined by the concurrent presence of sarcopenia and obesity (defined by relative fat mass). Logistic regression was used to assess the associations of CRP and SII with sarcopenia and sarcopenic obesity. The dose–response relationship was examined via restricted cubic splines. Of the participants (n = 2483), 23.1% (n = 574) and 7.7% (n = 190) had sarcopenia and sarcopenic obesity, respectively. The multivariable logistic regression models suggested a positive association of SII with sarcopenia and sarcopenic obesity, but a positive statistically significant association was not consistently observed for CRP. Dose–response curves suggested similar association patterns for these biomarkers. In clinical practice, measures to prevent sarcopenia and sarcopenic obesity are needed for older vulnerable people with high systemic inflammation.

Global prevalence of sarcopenic obesity in older adults: A systematic review and meta-analysis

Sarcopenic obesity (SO), which refers to the coexistence of sarcopenia and obesity. It can lead to physical disability, morbidity, and even mortality. This systematic review and meta-analysis aimed to estimate the global prevalence of SO in older adults.We searched PubMed, Embase, and Web of Science for studies reporting the prevalence of SO from inception to December 2020. Two researchers independently screened the literature, evaluated study quality, and extracted data. A random-effects model was used to pool the estimates for the prevalence of SO. Subgroup analysis, sensitivity analysis, and meta-regression analysis were conducted. Publication bias was assessed using a funnel plot and the Egger test. All statistical analyses were performed using Stata 15.0 software.This review included 50 studies, we found that the global prevalence of SO in older adults was 11%. Subgroup analyses showed that the prevalence of SO was higher among studies using diagnostic criteria of muscle mass alone (15%) to diagnose sarcopenia, using dual-energy X-ray absorptiometry (15%) to assess muscle mass, and those focused on age ≥ 75 years old (23%), hospitalized (16%), South Americans (21%) and North Americans (19%). There were no significant differences in the prevalence of SO among studies using body fat percentage (10%), body mass index (13%), waist circumference (16%) to diagnose obesity and in female (14%), male (10%) patients. Sensitivity analysis showed that none of the studies affected the overall pooled results. Meta-regression analysis found that publication year, geographical region, study setting, and the diagnostic criteria of sarcopenia were sources of heterogeneity.This meta-analysis indicated SO affects more than one in ten older adults globally. Therefore, we should attach importance to the screening and early diagnosis of SO in older adults, then selecting appropriate interventions to reduce the occurrence of it and various adverse outcomes in this demographic.

The Relevance of Diet, Physical Activity, Exercise, and Persuasive Technology in the Prevention and Treatment of Sarcopenic Obesity in Older Adults

The aging population faces two conditions that threaten healthy aging: high fat mass (obesity) and low muscle mass and function (sarcopenia). The combination of both—referred to as sarcopenic obesity—synergistically increases the risk of adverse health outcomes. The two conditions often co-occur because they reinforce each other and share common etiologies, including poor nutrition and inactivity. All aging people are at risk of gaining weight and losing muscle mass and could benefit from improvements in physical activity, exercise and dietary intake. one specific window of opportunity is during the transient time of retirement, as older adults already need to restructure their daily activities. It is key to change lifestyle behavior in a sustainable manner, providing scientifically proven, personalized, and acceptable principles that can be integrated in daily life. Health technologies (e.g., applications) can provide promising tools to deliver personalized and appealing lifestyle interventions to a large group of people while keeping health care costs low. Several studies show that health technologies have a strong positive effect on physical activity, exercise and dietary intake. Specifically, health technology is increasingly applied to older people, although strong evidence for long term effects in changing lifestyle behavior is generally lacking. Concluding, technology could play an important role in the highly warranted prevention of sarcopenic obesity in older adults. Although health technology seems to be a promising tool to stimulate changes in physical activity, exercise and dietary intake, studies on long lasting effects and specifically targeted on older people around the time of retirement are warranted.