scholarly journals Self-affirmation enhances the intention to improve physical inactivity through health risk messages

2021 ◽  
Author(s):  
Mai Shimoda ◽  
Shunsuke Shimoda
Keyword(s):  
Health Risk ◽  
Physical Inactivity

scholarly journals Prevalence of Diabetes and Associated Health Risk Factors among Adults in Dubai, United Arab Emirates: Results from Dubai Household Survey 2019

2020 ◽  
pp. 1-10
Author(s):  
Fatheya Al Awadi ◽  
Mohamed Hassanein ◽  
Hamid Y. Hussain ◽  
Heba Mohammed ◽  
Gamal Ibrahim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Risk ◽  
Marital Status ◽  
United Arab Emirates ◽  
Health Survey ◽  
Physical Inactivity ◽  
Age Groups ◽  
World Health ◽  
Health Risk Factors ◽  
The Impact

<b><i>Background:</i></b> The health and social burdens of diabetes mellitus (DM) are steadily increasing worldwide, reflecting the impact of urbanization, industrial transitions, and shifting to nonhealthy, sedentary life patterns’, as well as the high sugar, low-fiber food consumptions. All these factors have contributed to the global increase in the prevalence of DM and metabolic disorders. <b><i>Objectives:</i></b> The objective is to study the prevalence of DM among adult cohorts in Dubai and the extent of behavioral health risk factors associations. <b><i>Methodology:</i></b> A cross-sectional household health survey with multistage, stratified cluster random sample of 9,630 participants including 2,496 households was carried out in Dubai 2019. About 5,371 non-United Arab Emirates (UAE) national, 2,245 UAE-nationals, of different age-groups, gender, education, nationality, smoking, and marital status were included in the survey. The survey questionnaire was adapted from the one used in the World Bank’s Living Standards Measurement Surveys (LSMSs) and the WHO’s World Health Surveys (WHSs). Self-reported diabetes was considered as well as newly diagnosed diabetes based on HbA1C results. About 75 well-trained surveyors, 25 well-trained nurses, and other laboratory technicians conducted the survey. SPSS 21 and Stata 12 software was used for data management. <b><i>Results:</i></b> The data indicate that the prevalence of diabetes among Dubai Emiratis is much higher than Dubai expats (19.3 vs. 12.4% <i>p</i> = 0.000). The association between diabetes and age was evident regardless of nationality. Rates of diabetes were higher in males (15.4%) compared to females (11.8%) (<i>p</i> &#x3c; 0.001). About 11.2% of those considered overweight have DM, while the prevalence is 21.5% in obese people (<i>p</i> = 0.000). Physical inactivity, smoking, and hypertension (HTN) were strongly associated with higher rates of DM. Regardless of nationality, lower levels of education were statistically significantly associated with the prevalence of DM (<i>p</i> = 0.000), while single marital status was associated with the lowest rate of DM. <b><i>Conclusions:</i></b> Dubai household health survey 2019 indicated that the prevalence of DM among Dubai adults was still high as an overall estimation. Higher rates of diabetes were significantly associated with Emirati nationality, older age-groups, male gender, physical inactivity, high BMI, HTN, smoking<b>,</b> marital status of divorced, separated or divorced as well as low educational level groups.

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 Promising evidence for nutrition interventions in people with serious mental illness

2017 ◽  
Vol 210 (2) ◽  
pp. 94-95 ◽  
Author(s):  
Nick Meader
Keyword(s):  
Mental Illness ◽  
Health Risk ◽  
Serious Mental Illness ◽  
Physical Inactivity ◽  
Risk Behaviours ◽  
Nutrition Interventions ◽  
Unhealthy Eating ◽  
Health Risk Behaviours

SummaryPeople with serious mental illness (SMI) are more likely to engage in health risk behaviours such as unhealthy eating, physical inactivity and smoking. The review by Teasdale et al in this issue shows the potential for nutrition interventions to help people with SMI to manage their weight.

scholarly journals Body Weight Dissatisfaction Is Associated with Cardiovascular Health-Risk Behaviors among Brazilian Adolescents: Findings from a National Survey

2020 ◽  
Vol 17 (23) ◽  
pp. 8929
Author(s):  
Luciane Duarte ◽  
Elizabeth Fujimori ◽  
Ana Luiza Borges ◽  
Aline Kurihayashi ◽  
Mary Steen ◽  
...  
Keyword(s):  
Body Weight ◽  
Health Risk ◽  
Risk Behaviors ◽  
Physical Inactivity ◽  
Cardiovascular Health ◽  
Health Risk Behaviors ◽  
Female Adolescents ◽  
Male Adolescents ◽  
Body Weight Dissatisfaction ◽  
Skipping Breakfast

Body weight dissatisfaction (BWD) among adolescents may be a predictor of adoption of health-risk behaviors. The study aimed to assess the gendered association between two forms of BWD (feeling underweight/overweight) and cardiovascular health-risk behaviors among Brazilian adolescents. This cross-sectional study used data from the National Study of Cardiovascular Risks in Adolescents (ERICA) in Brazil, including 71,740 adolescents aged 12–17 years. BWD was defined as satisfied, dissatisfied feeling underweight and dissatisfied feeling overweight. We considered four health-risk behaviors: tobacco use, alcohol use, physical inactivity and skipping breakfast. Assessment of the associations between BWD and these behaviors were undertaken using logistic regression models. All analyses were stratified by gender. Analyses revealed that 14.9% of male adolescents and 14.5% of female adolescents were dissatisfied feeling underweight and 21.5% of males and 39.9% of females were dissatisfied feeling overweight. Among male adolescents, dissatisfied feeling overweight was associated with greater odds of physical inactivity and skipping breakfast. Among female adolescents, dissatisfied feeling underweight and overweight were associated with higher odds of alcohol use and skipping breakfast. These results highlight the importance of BWD and the association with a range of adolescent health behaviors increasing cardiovascular risk over the life course, depending on gender.

Fatness and Fitness in Obese Children at Low and High Health Risk

2003 ◽  
Vol 15 (4) ◽  
pp. 392-405 ◽  
Author(s):  
Geoff D.C. Ball ◽  
J. Dru Marshall ◽  
Linda J. McCargar
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Health Risk ◽  
Cardiorespiratory Fitness ◽  
Body Fat ◽  
Fat Mass ◽  
Physical Inactivity ◽  
Central Body ◽  
Metabolic Risk ◽  
Obese Children

We investigated whether body composition, physical activity, physical inactivity, and cardiorespiratory fitness explained the presence of risk factors for cardiovascular disease (CVD) and type 2 diabetes in youth. Eighty-three obese children (6–12 years old) were classified as either low health risk (LHR; n = 30) or high health risk (HHR; n = 53) based on the absence/presence of metabolic risk factors that included measures of dyslipidemia, insulin resistance, and elevated blood pressure. Along with demographic and anthropometric data, body composition, physical activity, physical inactivity, and cardiorespiratory fitness variables were assessed. Risk factor clustering was evident in this sample with 24/83 (29%) possessing at least 2 risk factors. Percent body fat did not differ between the LHR (38.5%) and HHR (39.8%) groups, but total fat mass, total fat-free mass, and central body fat mass were greater in the high health risk group. The strongest predictor for the presence of risk factors was central body fat accumulation. Physical activity, physical inactivity, and cardiorespiratory fitness were unable to predict metabolic risk. Overall, we found that risk factors for CVD and type 2 diabetes were common and that body fat mass and central body fat distribution, in particular, were more important than physical activity, physical inactivity, and cardiorespiratory fitness in predicting metabolic risk in obese children.

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 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):  
Social Capital ◽  
Alcohol Consumption ◽  
Health Risk ◽  
Sleep Disorder ◽  
Risk Behaviors ◽  
Physical Inactivity ◽  
Dietary Behavior ◽  
Health Risk Behaviors ◽  
Unhealthy Weight ◽  
The Relationship

Abstract Background: There is limited knowledge on the mediating role of different health risk behaviors on the relationship between social capital, socioeconomic status (SES), and health-related quality of life (HRQoL) in Chinese elderly. We conducted this study to (a) investigate the condition of health risk behaviors of Chinese elderly, and (b) assess the relationship between SES, social capital, health risk behaviors, and HRQoL. Methods: We conducted this cross-sectional study between January and March 2018. Participants’ demographic characteristics, SES (education level, family income), and 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 assess the associations between variables. Results: A total of 4,868 adults aged 60 years and older were included in this study. 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 significant lower HRQoL (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 different health risk behaviors. Health risk behaviors played potential mediating role on the relationship of social capital, SES, and elderly health.

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