First, Wu D. et al. presented valuable findings emphasizing the importance of maintaining a healthy lifestyle to slow biological aging. In addition, He, Le et al. identified methods for selecting markers of aging (physiological, biochemical, and molecular indicators) and established the framework for screening such markers. An examination of the meta-analysis by Sun et al. about the effects of exercise training on increasing skeletal muscle iNAMPT levels showed that exercise supports cellular energetics and overall health span. The authors suggest that exercise should be recommended as a natural slow-aging approach. Continuing in the context of the findings from their previous research, Wang X. et al. identified three different lifestyle categories in older adults: relatively positive, mixed, and relatively negative. Each type of improvement in these categories increases the physical, mental, and self-rated health of older adult respondents. The authors suggested that older adults adopt a positive lifestyle with all the advantages of their intelligent model. As a good tool for maintaining a healthier lifestyle, Martín et al. emphasized the use of fitness apps in multiple facets of people's everyday routine activities.

Lima de Oliveira et al. confirmed that the level of physical activity and sedentary behavior are independent predictors of mortality. Hypertension, a leading risk factor for mortality, requires a multicomponent management approach. Thus, Zhang et al., conducted China's Health and Retirement Longitudinal Study, and used a Bayesian network model to determine the factors related to heart attacks complicated with hypertension (HAH). Results from a large data sample showed that age, sleep duration, physical activity, and self-reported variables were directly associated with HAH. Based on these findings, the authors concluded that the Bayesian network model offers valuable information about HAH risk with possible implementation in monitoring this health problem. Based on the findings, from both studies, the level of physical activity can be covered by the regular daily routine and by performing some housework to preserve the physical function in older people. Furthermore, Xiao et al. recommended ancient methods as tools to fight cardiovascular diseases. The authors advocate for a “zero–one–all things” approach, where “zero” represents physical inactivity and hypertension, and “one” refers to an “inclusive and culturally appropriate exercise training cocktail.” In this context, “all things” represents the approach of an active lifestyle and healthy aging.

Several authors have tried to explain the relationship between physical activity, physical frailty, and depressive symptoms in adults aged 60 years and older. Wang Y. et al. concluded that gender differences exist in these types of relationships. From a male perspective, findings on grip strength and gait ability could be quality indicators of frailty for predicting depressive symptoms. From a female perspective, the results showed that physical activity is very beneficial. As a good strategy to prevent depression in older adults (≥65), Chen et al. recommended collecting a higher amount of moderate-to-vigorous than light physical activity during the day. Similarly, accumulating more daily MVPS can reduce the fear of falling in community-dwelling older women, which Wu S. et al. suggested in their research. In this process, physical fitness plays an essential role.

This topic was further pursued with a systematic review by Sadaqa et al., who presented valuable evidence on the effectiveness of exercise interventions for fall prevention in community-dwelling older adults. The authors strongly recommend that these interventions include physical exercise to improve balance, lower extremity strength, and mobility. Furthermore, Wu J. et al. also investigated the positive effects of square dance interventions on sleep quality in middle-aged and older Chinese women. These effects are based on the mediation of social support and depressive symptoms. Dózsa-Juhász et al. reported a relationship between premenstrual syndrome and regular physical activity, mental state, and stress. It is important to mention that the authors confirmed the negative correlation between regular physical activity and perceived stress levels.

Finally, Yu et al. proposed specific leisure time activities beneficial to the mental health of adults. One such activity recommended by the authors is Guangchangwu, a special characteristic of Chinese culture.

Several authors have contributed to the understanding of the interrelations among physical activity, sleep patterns, and cognitive function. For instance, Tao et al. concluded that adequate sleep and physical activity can affect cognitive performance. This relationship is part of a holistic, healthy lifestyle that we strive to understand. Kimura et al. also made significant contributions, highlighting the negative relationship between poor sleep quality and lower levels of physical activity and cognitive ability in older adults. Their findings have led to the development of new intervention approaches. In the same vein, Wu H. et al., conducted a longitudinal study and confirmed that non-nappers have progressive odds of cognitive decline. This collaborative research is shaping our understanding of healthy aging and reducing the odds of cognitive decline.

Finally, Milot et al. developed a study protocol to evaluate the efficacy of multimodal home-based videoconferencing interventions on sleep in older adults. The authors proposed four subsamples (25 participants per group) of a randomized controlled trial: (1) a physical exercise training group, (2) a physical exercise training combined with a bright light exposure group (n = 25), 3 a galvanic vestibular stimulation group (n = 25) or a control (i.e., health education) group (n = 25). The expected results may support the development of strategies to improve sleep quality in older adults.

The social environment and community factors can be significant strengths or barriers to healthy aging. In this context, we should consider many sociodemographic characteristics (gender, age, education, social, and marital status) that explain the time spent on physical activity, as supported by the findings of Trujillo-Barberá et al.. Wang Y. et al. considered that the high quality of home care services for older adults (≥60 years) is determined by factors such as age, marital status, pre-retirement occupation, source of financial resources, and mode of residence. Further progress has been made in addressing emotional needs, reducing the costs of aging, and addressing balanced and well-integrated healthcare issues. Similarly, He, Wei et al. confirmed the quality of community home-based aged care care services. The authors opened the discussion on government health expenditures and recommended the establishment of a socialized aged care system in China. Finally, the research by Casals et al. provided practical evidence on the effects of educational and related programs on improving physical function, sleep patterns, and nutritional status of older adults. The authors concluded that this educational program could significantly promote an active lifestyle in vulnerable populations.