Health-promoting behaviors mediate the relationship between eHealth literacy and health-related quality of life among Chinese older adults: a cross-sectional study

Li, Shaojie; Cui, Guanghui; Yin, Yongtian; Wang, Shiyuan; Liu, Xinyao; Chen, Lei

doi:10.1007/s11136-021-02797-2

Cited by 39 publications

(28 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among all the indicators on health, quality of life is considered as a multi-dimensional and comprehensive indicator that better reflect well-being, which is affected by physical, psychological, and social factors (2,3). Numerous studies had explored age, residence, income level, lifestyle factors, chronic disease, and social health status as factors associated with quality of life (2,(4)(5)(6)(7)(8).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Trends and Disparities in Quality of Life Among Older Adults From 1998 to 2018 in China: A National Observational Study

Liu

Wang

2022

Front. Med.

View full text Add to dashboard Cite

ObjectiveTo investigate 20-year trends and disparities in quality of life among older adults in China from 1998 to 2018.MethodsOur study was based on eight representative nationwide health surveys among older adults conducted in China from 1998 to 2018. Quality of life data were obtained from 91,993 individuals aged 65 years or above. All surveys included identical indicators of self-reported quality of life, demographic factors, socioeconomic status, lifestyle habits, and health status. The trends in the standardized prevalence of poor quality of life from 1998 to 2018 were examined by locally weighted scatterplot smoothing regression (LOWESS) analysis. We assessed the prevalence of poor quality of life and its related factors by logistic regression models after adjusting for potential confounders.ResultsThe prevalence of poor quality of life was 38.2% (95% CI: 37.9–38.5%). The trends of poor quality of life showed an inverted “U” shape, that the prevalence increased from 27.8% in 1998 to 43.6% in 2008, and then decreased from 39.2% in 2011 to 32.1% in 2018. Disparities in the prevalence of poor quality of life were exacerbating among participants with low or moderate household income per capita and participants with high household income per capita from 1998 to 2018. After controlling potential confounders, living in rural areas, aged below 80 years, unmarried, living alone, low household income, current smoker, poor dietary diversity, never participating in organized social activities, with chronic diseases, functional disability, poor self-reported health, and unhealthy psychological status were risk factors related with poor quality of life in the multivariate model (all p < 0.05).ConclusionDuring the past two decades, poor quality of life in Chinese older adults showed an inverted “U” trend from 1998 to 2018 that the prevalence of poor quality of life peaked in 2008 and declined since China's deepening health system reform in 2009. However, disparities in the poor quality of life were exacerbating among participants with different socioeconomic statuses. Strengthening the health system is of great importance in improving the quality of life. More efforts are needed to reduce the disparities in the quality of life among the population at the different socioeconomic levels.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Literature had reported the potential factors associated with poor quality of life in the general population or patients in China (3,8,11,12). Zhang et al (12) found that the prevalence and decline in quality of life of multimorbid olderaged people were severe in Shandong province, China.…”

Section: Introductionmentioning

confidence: 99%

Trends and Disparities in Quality of Life Among Older Adults From 1998 to 2018 in China: A National Observational Study

Liu

Wang

2022

Front. Med.

View full text Add to dashboard Cite

show abstract

“…Nevertheless, among the niche themes, specific topics such as “quality of life” and “public health” have arisen as central ones in addressing public policies [ 89 , 90 ]. Even if still understudied, the presence of these two keywords confirm that scholars are moving towards new methodologies for addressing complex issues (such as CVD) thanks to “old” implementation strategies (PASA) in “new” pathways (m-health) [ 91 , 92 ].…”

Section: Resultsmentioning

confidence: 99%

Mobile-Health based physical activities co-production policies towards cardiovascular diseases prevention: findings from a mixed-method systematic review

Palozzi

Antonucci

2022

BMC Health Serv Res

View full text Add to dashboard Cite

Background Cardiovascular disease (CVD) is the first cause of death globally, with huge costs worldwide. Most cases of CVD could be prevented by addressing behavioural risk factors. Among these factors, there is physical and amateur sports activity (PASA), which has a linear negative correlation with the risk of CVD. Nevertheless, attempts to encourage PASA, as exercise prescription programmes, achieved little impact at the community-wide level. A new frontier to promote PASA is represented by mobile health tools, such as exergaming, mobile device apps, health wearables, GPS/GIS and virtual reality. Nevertheless, there has not yet been any evident turnabout in patient active involvement towards CVD prevention, and inactivity rates are even increasing. This study aims at framing the state of the art of the literature about the use of m-health in supporting PASA, as a user-centric innovation strategy, to promote co-production health policies aiming at CVD prevention. Methods A mixed-method systematic literature review was conducted in the fields of health and healthcare management to highlight the intersections between PASA promotion and m-health tools in fostering co-produced services focused on CVD prevention. The literature has been extracted by the PRISMA logic application. The resulting sample has been first statistically described by a bibliometric approach and then further investigated with a conceptual analysis of the most relevant contributions, which have been qualitatively analysed. Results We identified 2,295 studies, on which we ran the bibliometric analysis. After narrowing the research around the co-production field, we found 10 papers relevant for the concept analysis of contents. The interest about the theme has increased in the last two decades, with a high prevalence of contributions from higher income countries and those with higher CVD incidence. The field of research is highly multi-disciplinary; most of documents belong to the medical field, with only a few interconnections with the technology and health policy spheres. Although the involvement of patients is recognized as fundamental for CVD prevention through PASA, co-design schemes are still lacking at the public management level. Conclusions While the link between the subjects of motor activity, medicine and technology is clear, the involvement of citizens in the service delivery process is still underinvestigated, especially the issue concerning how “value co-creation” could effectively be applied by public agencies. In synthesis, the analysis of the role of co-production as a system coordination method, which is so important in designing and implementing preventive care, is still lacking.

show abstract

“…In this study, the overall digital health literacy of community-dwelling older adults was relatively low. Previous research results showed that there was a gap between the digital health literacy level of Chinese older adults and that of developed countries [ 14 , 27 ]. One possible reason is that China gained full access to the Internet in 1994, later than many developed countries.…”

Section: Discussionmentioning

confidence: 99%

“…Digital health has become an important way to achieve the vision of health for all and has proven to be beneficial for both individuals and society [ 10 ]. From an individual perspective, digital health services help to increase public participation, promote better self-care behaviors and healthy lifestyles [ 11 , 12 ], and thus improving health outcomes [ 13 , 14 ]. From a socioeconomic perspective, the use of digital health can generate sustainable economic net benefits by providing better treatment for patients and improving the efficiency of patient management [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Current status and influencing factors of digital health literacy among community-dwelling older adults in Southwest China: a cross-sectional study

Liu

Zhao²,

et al. 2022

BMC Public Health

View full text Add to dashboard Cite

Background The rapid development of digital health has reduced the time and cost of medical treatment, bringing efficient and economical benefits. However, older adults all over the world are deficient in digital health knowledge and skills to varying degrees. This study intends to investigate the current status and influencing factors of digital health literacy among community-dwelling older adults in Southwest China, so as to provide theoretical reference for global digital health researches and the construction of gerontological digital health service models. Methods A cross-sectional survey was conducted from September 2020 to April 2021 in Chongqing, China. 572 community-dwelling older adults (≥ 65 years) were surveyed by stratified sampling. Data on sociodemographic characteristics, Internet usage, attitude towards Internet health information and digital health literacy were collected. Wherein, the digital health literacy assessment adopted the Digital Health Literacy Assessment Scale for community-dwelling older adults, which was developed by the research group, proven to be with good internal consistency (0.941), split-half reliability (0.889), test–retest reliability (0.941), content validity (0.967), criterion validity (0.938) and construct validity. The influencing factors were explored by univariate analysis and multiple linear regression analysis. Results The average score of digital health literacy was 37.10 (SD 18.65). Univariate analysis showed that there were statistically significant differences in the comparison of digital health literacy according to 16 variables, such as different age and education levels. Multiple linear regression analysis showed that education level, marital status, self-rated health status, degree of health concerns, duration of Internet usage, time spent using the Internet per day, frequency of Internet usage, frequency of receiving guidance passively from family members, perceived usefulness, perceived ease of use and perceived reliability were positively correlated with digital health literacy, while age and perceived risk were negatively correlated with digital health literacy. Conclusion The overall digital health literacy of community-dwelling older adults in Southwest China is relatively low. In the future, health professionals should fully consider the diverse influencing factors of digital health literacy, assess individual differences and provide targeted intervention programs. Meanwhile, global public health authorities should integrate health resources effectively, and seek health service models for older adults in line with the development of the digital age to narrow the digital divide.

show abstract

Health-promoting behaviors mediate the relationship between eHealth literacy and health-related quality of life among Chinese older adults: a cross-sectional study

Cited by 39 publications

References 45 publications

Trends and Disparities in Quality of Life Among Older Adults From 1998 to 2018 in China: A National Observational Study

Trends and Disparities in Quality of Life Among Older Adults From 1998 to 2018 in China: A National Observational Study

Mobile-Health based physical activities co-production policies towards cardiovascular diseases prevention: findings from a mixed-method systematic review

Current status and influencing factors of digital health literacy among community-dwelling older adults in Southwest China: a cross-sectional study

Contact Info

Product

Resources

About