Health Literacy and Health Risk Behaviors Among Older Adults

2007 ◽  
Vol 32 (1) ◽  
pp. 19-24 ◽  
Author(s):  
Michael S. Wolf ◽  
Julie A. Gazmararian ◽  
David W. Baker
Keyword(s):  
Older Adults ◽  
Health Literacy ◽  
Health Risk ◽  
Risk Behaviors ◽  
Health Risk Behaviors

scholarly journals Socioeconomic status, social capital, health risk behaviors, and health-related quality of life among Chinese older adults

2020 ◽  
Author(s):  
Ying Yang ◽  
Shizhen Wang ◽  
Lei Chen ◽  
Mi Luo ◽  
Lina Xue ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Capital ◽  
Health Risk ◽  
Risk Behaviors ◽  
Physical Inactivity ◽  
Health Risk Behaviors ◽  
Chinese Older Adults ◽  
Unhealthy Diet ◽  
Overweight Or Obesity

Abstract Background: The present study described the occurrence of health risk behaviors among Chinese older adults, and developed a structural equation model (SEM) to assess the associations between socioeconomic status (SES), social capital, health risk behaviors, and health-related quality of life (HRQoL). Methods: We conducted this cross-sectional study in Hubei, Jiangxi, Guangdong, and Fujian provinces, etc., China between January and March 2018. Demographic characteristics (age, gender, marital status, place of residence), SES (education level, family income), and health risk behaviors (smoking, alcohol consumption, physical inactivity, unhealthy diet, overweight or obesity, and sleep insufficient or excessive) were investigated. Social capital and HRQoL were assessed by the 16-item Personal Social Capital Scale (PSCS-16) and WHOQOL-Old, respectively. Structural equation modeling was applied to assess the associations between variables. Results: A total of 5439 older adults were included in this study. The prevalence of smoking, alcohol consumption, physical inactivity, unhealthy diet, overweight or obesity, and sleep insufficient or excessive were 34.7%, 34.4%, 64.3%, 45.0%, 26.6%, and 40.1%, respectively. 75% of the participants reported ≥2 health risk behaviors. Elderly individuals with more co-occurrence number of health risk behaviors demonstrated significant poor HRQoL ( F = 52.99, p <0.01). Smoking, physical inactivity, and unhealthy diet exhibited significant negative associations with HRQoL. Social capital, SES, as well as overweight or obesity, and sleep insufficient or excessive showed positive associations with HRQoL. Higher level of social capital positively associated with the occurrence of alcohol consumption, sleep insufficient or excessive, and negatively associated with physical inactivity, unhealthy diet, and overweight or obesity. Conclusions: Chinese older adults demonstrated high prevalence of health risk behaviors, as well as the proportion of their co-occurrences. Socioeconomic status, social capital, and health risk behaviors were important predictors of the elderly’s quality of life. Increasing elderly’s social capital, so as to prevent and control the occurrence of health risk behaviors, which might be an effective approach to improve the elderly’s health.

scholarly journals Stages of Change Across Ten Health Risk Behaviors for Older Adults

1999 ◽  
Vol 39 (4) ◽  
pp. 473-482 ◽  
Author(s):  
C. R. Nigg ◽  
P. M. Burbank ◽  
C. Padula ◽  
R. Dufresne ◽  
J. S. Rossi ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Risk ◽  
Risk Behaviors ◽  
Stages Of Change ◽  
Health Risk Behaviors

scholarly journals Health Risk Behaviors after Disaster Exposure Among Older Adults

2019 ◽  
Vol 34 (1) ◽  
pp. 95-97 ◽  
Author(s):  
Sue Anne Bell ◽  
HwaJung Choi ◽  
Kenneth M. Langa ◽  
Theodore J. Iwashyna
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Weight Gain ◽  
Cigarette Smoking ◽  
Health Risk ◽  
Health Behaviors ◽  
Risk Behaviors ◽  
Health Risk Behaviors ◽  
Significant Difference ◽  
Disaster Exposure

AbstractObjectiveThe aim of this study was to examine the extent to which an exposure to disaster is associated with change in health behaviors.MethodsFederal disaster declarations were matched at the county-level to self-reported behaviors for participants in the Health and Retirement Study (HRS), 2000-2014. Multivariable logistic regression was used to evaluate the relationship between disaster and change in physical activity, body mass index (BMI), and cigarette smoking.ResultsThe sample included 20,671 individuals and 59,450 interviews; 1,451 unique disasters were declared in counties in which HRS respondents lived during the study period. Exposure to disaster was significantly associated with weight gain (unadjusted RRR=1.19; 95% CI, 1.11-1.27; adjusted RRR=1.21; 95% CI, 1.13-1.30). Vigorous physical activity was significantly lower among those who had experienced a disaster compared to those who had not (unadjusted OR=0.89; 95% CI, 0.84-0.95; adjusted OR=0.84; 95% CI, 0.79-0.89). No significant difference in cigarette smoking was found.ConclusionsThis study found an increase in weight gain and decrease in physical activity among older adults after disaster exposure. Adverse health behaviors such as these can contribute to functional decline among older adults.BellSA, ChoiH, LangaKM, IwashynaTJ. Health risk behaviors after disaster exposure among older adults. Prehosp Disaster Med. 2019;34(1):95–97.

scholarly journals Association between Health Literacy and Subgroups of Health Risk Behaviors among Chinese Adolescents in Six Cities: A Study Using Regression Mixture Modeling

2019 ◽  
Vol 16 (19) ◽  
pp. 3680 ◽  
Author(s):  
Rong Yang ◽  
Danlin Li ◽  
Jie Hu ◽  
Run Tian ◽  
Yuhui Wan ◽  
...  
Keyword(s):  
Health Literacy ◽  
High Risk ◽  
Health Risk ◽  
Risk Behaviors ◽  
Health Risk Behaviors ◽  
Mixture Modeling ◽  
Moderate Risk ◽  
Risk Class ◽  
Class 1 ◽  
Regression Mixture

Adolescents engage in health risk behaviors (HRBs) that influence their current and future health status. Health literacy (HL) is defined as how well a person can get and understand the health information and services, and use them to make good health decisions. HL can be used to participate in everyday activities actively and apply new information to the changing circumstances. HRBs commonly co-occur in adolescence, and few researchers have examined how HL predicts multiple HRBs in adolescence. In this study we examined the subgroups of HRBs, and investigated heterogeneity in the effects of HL on the subgroups. In total, 22,628 middle school students (10,990 males and 11,638 females) in six cities were enrolled by multistage stratified cluster sampling from November 2015 to January 2016. The measurement of HL was based on the Chinese Adolescent Interactive Health Literacy Questionnaire (CAIHLQ). Analyses were conducted with regression mixture modeling approach (RMM) by Mplus. By this study we found four latent classes among Chinese adolescents: Low-risk class, moderate-risk class 1 (smoking/alcohol use (AU)/screen time (ST)), moderate-risk class 2 (non-suicidal self-injury (NSSI)/suicidal behaviors (SB)/unintentional injury (UI)), and high-risk class (smoking/AU/ST/NSSI/SB/UI) which were 64.0%, 4.5%, 28.8% and 2.7% of involved students, respectively. Negative correlations were found between HL and HRBs: higher HL accompanied decreased HBRs. Compared to the low-risk class, moderate-risk class 1 (smoking/AU/ST), moderate-risk class 2 (NSSI/SB/UI), and high-risk class (smoking/AU/ST/NSSI/SB/UI) showed OR (95%CI) values of 0.990 (0.982–0.998), 0.981 (0.979–0.983) and 0.965 (0.959–0.970), respectively. Moreover, there was heterogeneity in the profiles of HRBs and HL in different classes. It is important for practitioners to examine HRBs in multiple domains concurrently rather than individually in isolation. Interventions and research should not only target adolescents engaging in high levels of risky behavior but also adolescents who are engaging in lower levels of risky behavior.

scholarly journals HEALTH RISK BEHAVIORS AFTER NATURAL DISASTER EXPOSURE AMONG OLDER ADULTS

2018 ◽  
Vol 2 (suppl_1) ◽  
pp. 263-263
Author(s):  
S Bell ◽  
H Choi ◽  
K Langa ◽  
T Iwashyna
Keyword(s):  
Older Adults ◽  
Health Risk ◽  
Natural Disaster ◽  
Risk Behaviors ◽  
Health Risk Behaviors ◽  
Disaster Exposure

scholarly journals Socioeconomic status, social capital, health risk behaviors, and health-related quality of life among Chinese older adults

2020 ◽  
Author(s):  
Ying Yang ◽  
Shizhen Wang ◽  
Lei Chen ◽  
Mi Luo ◽  
Lina Xue ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Capital ◽  
Health Risk ◽  
Sleep Disorder ◽  
Risk Behaviors ◽  
Physical Inactivity ◽  
Dietary Behavior ◽  
Health Risk Behaviors ◽  
Chinese Older Adults ◽  
Related Quality

Abstract Background: There is limited knowledge on the mediating role of different health risk behavior on the relationship between social capital, socioeconomic status (SES), and health-related quality of life (HRQoL) in Chinese older adults. We conducted this study to (a) investigate the condition of health risk behaviors of the Chinese elderly, and (b) assess the relationship between SES, social capital, health risk behaviors, and HRQoL.Methods: A sample of 4,868 adults aged 60 years and older were included in this study, from the China’s Health-related Quality of Life Survey for Older Adults 2018. Participants’ demographic characteristics, SES (education level, family income), health risk behaviors (smoking, alcohol consumption, physical inactivity, unhealthy dietary behavior, unhealthy weight, and sleep disorder) were collected. Social capital and HRQoL were assessed by the 16-item Personal Social Capital Scale (PSCS-16) and WHOQOL-Old, respectively. Structural equation modeling (SEM) was applied to examine the associations between variables.Results: The proportion of smoking, alcohol consumption, physical inactivity, unhealthy dietary behavior, unhealthy weight, and sleep disorder were 32.1%, 36.3%, 62.5%, 45.7%, 31.8%, and 45.5%, respectively. Significant differences were observed in education level, family income, and social capital between elderly individuals with and without each of the six health risk behavior (all p-values < 0.05). Elderly individuals who reported smoking, physical inactivity, unhealthy dietary behavior, and sleep disorder had significantly lower HRQoL than those without these unhealthy behaviors (all p-values < 0.05). SEM analysis showed that SES and social capital positively associated with alcohol consumption. Social capital negatively associated with smoking, physical inactivity, unhealthy dietary behavior, and sleep disorder. SES negatively associated with smoking, physical inactivity, unhealthy dietary behavior, unhealthy weight, and sleep disorder. Smoking, physical inactivity, unhealthy dietary behavior, and sleep disorder correlated with poorer HRQoL.Conclusions: Chinese older adults demonstrated a high incidence of health risk behaviors, especially for physical inactivity (62.5%) and unhealthy dietary behavior (45.7%). Social capital and SES were correlated with the elderly’s HRQoL, as well as with the health risk behaviors. Health risk behaviors played potential mediating role on the relationship between social capital, SES, and HRQoL in Chinese older adults.

scholarly journals Socioeconomic status, social capital, health risk behaviors, and health-related quality of life among Chinese older adults

2020 ◽  
Author(s):  
Ying Yang ◽  
Shizhen Wang ◽  
Lei Chen ◽  
Mi Luo ◽  
Lina Xue ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Capital ◽  
Health Risk ◽  
Sleep Disorder ◽  
Risk Behaviors ◽  
Physical Inactivity ◽  
Dietary Behavior ◽  
Health Risk Behaviors ◽  
Chinese Older Adults ◽  
Related Quality

Abstract Background: There is limited knowledge on the mediating role of different health risk behavior on the relationship between social capital, socioeconomic status (SES), and health-related quality of life (HRQoL) in Chinese older adults. We conducted this study to (a) investigate the condition of health risk behaviors of the Chinese elderly, and (b) assess the relationship between SES, social capital, health risk behaviors, and HRQoL. Methods: A sample of 4,868 adults aged 60 years and older were included in this study, from the China's Health-related Quality of Life Survey for Older Adults 2018. Participants' demographic characteristics, SES (education level, family income), health risk behaviors (smoking, alcohol consumption, physical inactivity, unhealthy dietary behavior, unhealthy weight, and sleep disorder) were collected. Social capital and HRQoL were assessed by the 16-item Personal Social Capital Scale (PSCS-16) and WHOQOL-Old, respectively. Structural equation modeling (SEM) was applied to examine the associations between variables. Results: The proportion of smoking, alcohol consumption, physical inactivity, unhealthy dietary behavior, unhealthy weight, and sleep disorder were 32.1%, 36.3%, 62.5%, 45.7%, 31.8%, and 45.5%, respectively. Significant differences were observed in education level, family income, and social capital between elderly individuals with and without each of the six health risk behavior (all p-values < 0.05). Elderly individuals who reported smoking, physical inactivity, unhealthy dietary behavior, and sleep disorder had significantly lower HRQoL than those without these unhealthy behaviors (all p-values < 0.05). SEM analysis showed that SES and social capital positively associated with alcohol consumption. Social capital negatively associated with smoking, physical inactivity, unhealthy dietary behavior, and sleep disorder. SES negatively associated with smoking, physical inactivity, unhealthy dietary behavior, unhealthy weight, and sleep disorder. Smoking, physical inactivity, unhealthy dietary behavior, and sleep disorder correlated with poorer HRQoL. Conclusions: Chinese older adults demonstrated a high incidence of health risk behaviors, especially for physical inactivity (62.5%) and unhealthy dietary behavior (45.7%). Social capital and SES were correlated with the elderly's HRQoL, as well as with the health risk behaviors. Health risk behaviors played potential mediating role on the relationship between social capital, SES, and HRQoL in Chinese older adults.

scholarly journals The (informed) patient’s consent: How to actually increase health literacy in the Polish healthcare

2021 ◽  
Vol 12 ◽  
pp. 313-325
Author(s):  
Ewelina Moroń
Keyword(s):  
Health Literacy ◽  
Environmental Factors ◽  
Health Risk ◽  
Risk Behaviors ◽  
Tooth Extraction ◽  
Health Risk Behaviors ◽  
Basic Information ◽  
Plain Language

The paper contains basic information on health literacy — the process of gaining information and improving one’s knowledge about health, avoiding health-risk behaviors and being able to identify and realize social and environmental factors related to healthcare (WHO 1986). The text comprises two parts: the first describes the need to develop health literacy and lists the basic tools which can be used for this purpose. The second one includes a proposal for a plain-language tooth extraction consent.

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