Impact of a community-based lifestyle intervention program on health-related quality of life

Construct validity of the 12-item Short Form Health Survey (SF-12) version 2 and the impact of lifestyle modifications on the health-related quality of life among Indian adults with prediabetes: results from the D-CLIP trial

PURPOSE

This study aimed to validate the factor structure of the 12-item Short-Form (SF-12) health-related quality of life (HRQOL) survey for Indian adults and assess the impact of lifestyle modification on the SF-12 of Indian adults with prediabetes.

METHODS

To validate the context-specific construct of the SF-12, two-factor confirmatory factor analysis (CFA) was performed using data from 1285 adults residing in Chennai, India, who screened for the Diabetes Community Lifestyle Improvement Program (D-CLIP). D-CLIP was a randomized controlled trial of 578 participants with prediabetes (283 treatment, 293 control), focusing on the effect of lifestyle modifications on the prevention of diabetes. Physical and mental component scores (PCS and MCS) were computed by using CFA standardized factor loadings. Multiple linear regression was subsequently conducted to estimate the effect of lifestyle modification on post-study changes of PCS and MCS among D-CLIP participants.

RESULTS

Cronbach's alpha and CFA fit indices demonstrated acceptable reliability and model fit of the SF-12 for Indian adults. The intervention group showed greater mean change in PCS after study participation compared to the controls (1.63 ± 0.82, p = 0.046); no significant difference was observed for MCS between two groups (1.00 ± 0.85, p = 0.242).

CONCLUSION

The study confirmed that the SF-12 is suitable for assessing the physical and mental health dimensions of HRQOL for Indian adults. Our findings suggest that the benefits of diabetes prevention lifestyle modification strategies may primarily enhance the physical well-being of adults with prediabetes. Further studies validating the SF-12 in a broader Asian Indian population are needed.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT01283308.

The Relationship between Physical Activity and Health-Related Quality of Life in Korean Adults: The Eighth Korea National Health and Nutrition Examination Survey

This study used the raw data from the Eighth Korea National Health and Nutrition Examination Survey (KNHANES-VIII), conducted under the supervision of the Ministry of Health and Welfare and the Korea Centers for Disease Control and Prevention in 2019. It was conducted to identify a significant correlation between physical activity (PA) and health-related quality of life (HR QOL) in the Korean population. In 2019, the KNHANES-VIII added the Health-related Quality of Life Instrument with 8 items (HINT-8) to assess the HR QOL. The independent variable is related to PA, specifically the presence or absence of PA, type of PA, and the frequency of PA. The dependent variable is HR QOL, measured either as the total score or specific items (e.g., pain, vitality, and memory) using the HINT-8 measurement tool. Demographic characteristics and health status may directly or indirectly influence the relationship between PA and HR QOL, which were used as covariates. A total of 4357 participants were included in the current study. The mean HINT-8 scores were significantly higher in the participants who performed PA on a weekly basis, leisure-related PA or MSPA, as compared with those who did not (p = 0.01 and <0.0001, respectively). In both the unadjusted and adjusted models, the mean HINT-8 scores were significantly higher in the participants who performed ≥500 MET-min/week of leisure-related PA as compared with those who did not (95% CI: 1.017-1.033; p < 0.001 and 95% CI: 1.005-1.02; p = 0.001, respectively). In both the unadjusted and adjusted models, the mean HINT-8 scores were significantly higher (95% CI: 1.015-1.03; p < 0.001 and 95% CI: 1.004-1.018; p = 0.003, respectively) in the participants who performed MSPA for ≥2 days/week as compared with those who did not. The current results confirmed that there is a significant positive correlation between the PA and HR QOL based on the HINT-8 scores. Because the HINT-8 was developed to assess the HR QOL in Koreans, however, further studies are warranted to evaluate its applicability to other ethnic populations.

A randomized controlled trial of an intervention promoting physical activity and healthy eating recommendations in systemic lupus erythematosus: the protocol study "Living Well with Lupus"

There is a paucity of studies assessing multidisciplinary interventions focused on tackling physical inactivity/sedentary behavior and poor dietary habits in SLE. The Living well with Lupus (LWWL) is a randomized controlled trial to investigate whether a six-month lifestyle change intervention will improve cardiometabolic risk factors (primary outcome) among systemic lupus erythematosus (SLE) patients with low disease activity (SLEDAI score ≤ 4) and with high cardiovascular risk. As secondary goals, we will evaluate: (1) the intervention's safety, efficacy, and feasibility in promoting lifestyle changes, and (2) the effects of the intervention on secondary outcomes (i.e., clinical parameters, functional capacity, fatigue, psychological aspects, sleep quality and health-related quality of life). Patients will be randomly allocated to either a control (i.e., standard care) or a lifestyle intervention group using a simple randomization (1:1 ratio, blocks of 20). Mixed Model analyses will be conducted for comparing groups following an intention-to-treat approach. A per protocol analysis will also be conducted. This study has the potential to generate new, clinically relevant data able to refine the multidisciplinary management of SLE patients. Protocol version number: NCT04431167 (first version).

Socio-economic factors, mood, primary care utilization, and quality of life as predictors of intervention cessation and chronic stress in a type 2 diabetes prevention intervention (PREVIEW Study)

BACKGROUND

Sedentary lifestyle and unhealthy diet combined with overweight are risk factors for type 2 diabetes (T2D). Lifestyle interventions with weight-loss are effective in T2D-prevention, but unsuccessful completion and chronic stress may hinder efficacy. Determinants of chronic stress and premature cessation at the start of the 3-year PREVIEW study were examined.

METHODS

Baseline Quality of Life (QoL), social support, primary care utilization, and mood were examined as predictors of intervention cessation and chronic stress for participants aged 25 to 70 with prediabetes (n = 2,220). Moderating effects of sex and socio-economic status (SES) and independence of predictor variables of BMI were tested.

RESULTS

Participants with children, women, and higher SES quitted intervention earlier than those without children, lower SES, and men. Lower QoL, lack of family support, and primary care utilization were associated with cessation. Lower QoL and higher mood disturbances were associated with chronic stress. Predictor variables were independent (p ≤ .001) from BMI, but moderated by sex and SES.

CONCLUSIONS

Policy-based strategy in public health should consider how preventive interventions may better accommodate different individual states and life situations, which could influence intervention completion. Intervention designs should enable in-built flexibility in delivery enabling response to individual needs.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01777893.

Changes in health behaviours in adults at-risk of chronic disease: primary outcomes from the My health for life program

Background

Chronic disease is the leading cause of premature death globally, and many of these deaths are preventable by modifying some key behavioural and metabolic risk factors. This study examines changes in health behaviours among men and women at risk of diabetes or cardiovascular disease (CVD) who participated in a 6-month lifestyle intervention called the My health for life program.

Methods

The My health for life program is a Queensland Government-funded multi-component program designed to reduce chronic disease risk factors amongst at-risk adults in Queensland, Australia. The intervention comprises six sessions over a 6-month period, delivered by a trained facilitator or telephone health coach. The analysis presented in this paper stems from 9,372 participants who participated in the program between July 2017 and December 2019. Primary outcomes included fruit and vegetable intake, consumption of sugar-sweetened drinks and take-away, alcohol consumption, tobacco smoking, and physical activity. Variables were summed to form a single Healthy Lifestyle Index (HLI) ranging from 0 to 13, with higher scores denoting healthier behaviours. Longitudinal associations between lifestyle indices, program characteristics and socio-demographic characteristics were assessed using Gaussian Generalized Estimating Equations (GEE) models with an identity link and robust standard errors.

Results

Improvements in HLI scores were noted between baseline (Md = 8.8; IQR = 7.0, 10.0) and 26-weeks (Md = 10.0; IQR = 9.0, 11.0) which corresponded with increases in fruit and vegetable consumption and decreases in takeaway frequency (p < .001 for all) but not risky alcohol intake. Modelling showed higher average HLI among those aged 45 or older (β = 1.00, 95% CI = 0.90, 1.10, p < .001) with vocational educational qualifications (certificate/diploma: β = 0.32, 95% CI = 0.14, 0.50, p < .001; bachelor/post-graduate degree β = 0.79, 95% CI = 0.61, 0.98, p < .001) while being male, Aboriginal or Torres Strait Islander background, or not currently working conferred lower average HLI scores (p < .001 for all).

Conclusions

While participants showed improvements in dietary indicators, changes in alcohol consumption and physical activity were less amenable to the program. Additional research is needed to help understand the multi-level barriers and facilitators of behaviour change in this context to further tailor the intervention for priority groups.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14056-1.

A systematic review and meta-analysis of weight loss in control group participants of lifestyle randomized trials

Randomized clinical trials (RCTs) of lifestyle modification have reported beneficial effects of interventions, compared to control. Whether participation in the control group has benefits is unknown. To determine whether control group participants experience weight loss during the course of RCTs. After prospective registration (PROSPERO CRD42021233070), we conducted searches in Medline, Scopus, Web of Science, Cochrane library and Clinicaltrials.gov databases from inception to May 2021 without language restriction to capture RCTs on dietary advice or physical activity interventions in adults with overweight, obesity or metabolic syndrome. Data extraction and study quality assessment was performed by two independent reviewers. Weight loss in the control group, i.e., the difference between baseline and post-intervention, was pooled using random effects model generating mean difference and 95% confidence interval (CI). Heterogeneity was assessed using the I² statistical test. Subgroup meta-analysis was performed stratifying by follow-up period, type of control group protocols and high-quality studies. Among the 22 included studies (4032 participants), the risk of bias was low in 9 (40%) studies. Overall, the controls groups experienced weight loss of − 0.41 kg (95% CI − 0.53 to − 0.28; I² = 73.5% p < 0.001). To identify a result that is an outlier, we inspected the forest plot for spread of the point estimates and the confidence intervals. The magnitude of the benefit was related to the duration of follow-up (− 0.51 kg, 95% CI − 0.68, − 0.3, for 1–4 months follow-up; − 0.32 kg, 95% CI − 0.58, − 0.07, 5–12 months; − 0.20 kg, 95% CI − 0.49, 0.10, ≥ 12 months). In high-quality studies we found an overall weight loss mean difference of − 0.16 (95% CI − 0.39, 0.09) with a considerable heterogeneity (I² = 74%; p < 0.000). Among studies including control group in waiting lists and combining standard care, advice and material, no heterogeneity was found (I² = 0%, p = 0.589) and (I² = 0%, p = 0.438); and the mean difference was − 0.84 kg (95% CI − 2.47, 0.80) and − 0.65 kg (95% CI − 1.03, − 0.27) respectively. Participation in control groups of RCTs of lifestyle interventions had a benefit in terms of weight loss in meta-analysis with heterogeneity. These results should be used to interpret the benefits observed with respect to intervention effect in trials. That control groups accrue benefits should be included in patient information sheets to encourage participation in future trials among patients with overweight and obesity.

Pathways to healthy aging - Exploring the determinants of self-rated health in older adults

OBJECTIVE

The decade 2021-2030 has been declared the Decade of Healthy Aging by the United Nations General Assembly, underlining that health is central to the experience of older age and the opportunities that aging brings. Self-rated health (SRH) appears consistent with the state of objective health, and therefore can serve as a simple core indicator of healthy aging. SRH can be affected by psychological and lifestyle factors, and by the developmental and sociodemographic context, which can directly and indirectly influence subjective health status. The aim of the present study was to establish the structure of the relationships between SRH, health-related behavior, subjective wellbeing, developmental tasks attainment and sociodemographic factors in the late-life period.

METHODS

The study group consisted of 340 Polish retired seniors, aged 61 to 94 (M = 70.75, SD = 6.48): 88 men (25.9 %) and 252 women (74.1 %). The respondents completed the following measures: 10-point numerical scale for SRH, Health-Related Questionnaire for Seniors, Satisfaction with Life Scale, Developmental Tasks Questionnaire for Seniors and a sociodemographic survey.

RESULTS

The group demonstrated a medium level of SRH and other variables. SHR was positively correlated with health-related behavior, wellbeing, developmental tasks attainment and perceived economic status, and negatively with age. Structural equation model revealed that health-related behavior, wellbeing, age and economic status have a direct influence on SRH. Developmental tasks attainment was found to predict health behavior, although no direct relationship with SRH was found.

CONCLUSIONS

A broader understanding of healthy aging is achieved by considering the context of its factors. Psychological interventions should promote a healthy lifestyle and adapt it to the late life period to promote health among seniors.

Translating the Diabetes Prevention Program Lifestyle Intervention to the Military Setting

INTRODUCTION

Diabetes and obesity pose a significant burden for the U.S. military beneficiary population, creating a great need to provide evidence-based diabetes and obesity prevention services for military personnel, retirees, and their dependents. Despite increasing dissemination of the Diabetes Prevention Program (DPP) lifestyle intervention nationwide, formal evaluation of implementation of this highly successful program is limited in the military setting. The purpose of this study is to prospectively evaluate delivery of a direct adaptation of a 1-year DPP lifestyle intervention at a U.S. Air Force medical facility, Wright-Patterson Medical Center (WPMC), to determine the feasibility of delivery of the program in a group of at-risk active duty military, retirees, and family members, as well as assess effectiveness in improving weight and other risk factors for type 2 diabetes.

MATERIALS AND METHODS

A pre/post study design was utilized to evaluate feasibility and effectiveness of the DPP Group Lifestyle Balance (GLB), an up-to-date, 22-session direct adaptation of the DPP curriculum, at WPMC. Participants chose to complete the 1-year program either in coach-led face-to-face groups or via DVD with weekly telephonic coach contact. The study was approved by the University of Pittsburgh and WPMC Institutional Review Boards.

RESULTS

A total of 99 individuals enrolled in the study, with 83 (84%) and 77 (78%) completing 6- and 12-month follow-up assessments, respectively. The mean age of participants at baseline was 57 (range 20-85 years), with 63% being female. The group was comprised of individuals who were non-Hispanic White (73.7%), non-Hispanic Black (18.2%), and other race or Hispanic ethnicity (8.1%). Within this group, there were 10 active duty military, 37 retirees, and 52 family members. The DPP-GLB program was shown to be feasible to implement in this military healthcare setting as demonstrated by the high engagement over the course of the year-long program. Significant improvements were shown in the two main behavioral goals: mean weight (-12.8 lbs, -6.3%, P < .001) and mean physical activity (PA) (+18.9 Met-hrs/wk, P < .001). In addition, significant improvements in other diabetes and cardiovascular risk factors including low-density lipoprotein cholesterol, fasting insulin, diastolic blood pressure, and waist circumference were noted, as well as improvement in health-related quality of life.

CONCLUSIONS

These results demonstrate that the DPP-GLB program delivered via face-to-face groups or DVD was feasible and effective in improving weight, PA levels, and diabetes and cardiovascular risk factors in this group of active and retired military personnel and their family members. The program was well received by the program participants as well as the WPMC team. These findings offer a model for provision of the DPP-GLB program throughout the Military Health System.

The impact of antihypertensive treatment initiation on health-related quality of life and cardiovascular risk factor levels: a prospective, interventional study

Background

Effective prevention and treatment of hypertension is one of the most potential interventions in terms of preventing cardiovascular deaths and disabilities. However, the treatment control is often poor. This may be partly explained by the impact of hypertension diagnoses and treatment on health-related quality of life. Quality of life is also an important outcome for a hypertensive patient. Most of the previous studies on health-related quality of life in hypertension have concentrated on patients with treated hypertension and less is known about the initiation of medication and the first treatment year.

Methods

In this interventional study, we followed 111 primary care patients with newly diagnosed hypertension in real world primary care setting in Finland for 12 months.

Results

We found significant decrease in both systolic and diastolic blood pressure levels, as well as modest decrease in cholesterol levels and alcohol consumption. However, the health-related quality of life also slightly deteriorated during the first treatment year.

Conclusions

Our study shows that the initiation of hypertension treatment results in cardiovascular risk decrease among newly diagnosed Finnish hypertensive patients, but it is accompanied by small negative impact on health-related quality of life. However, the deterioration in health-related quality of life is of small magnitude and earlier research demonstrates several measures to enhance treatment and avoid impairment in health-related quality of life.

Trial registration ClinicalTrials NCT02377960 (Date of registration: 04/03/2015).

Impact of Maintenance Session Attendance and Early Weight Loss Goal Achievement on Weight Loss Success in a Community-Based Diabetes Prevention Program Intervention

PURPOSE

The purpose of this study was to examine how maintenance session attendance and 6-month weight loss (WL) goal achievement impacted 12-month 5% WL success in older adults participating in a community-based Diabetes Prevention Program (DPP) lifestyle intervention.

METHODS

Data were combined from 2 community trials that delivered the 12-month DPP-based Group Lifestyle Balance (GLB) to overweight/obese adults (mean age = 62 years, 76% women) with prediabetes and/or metabolic syndrome. Included participants (n = 238) attended ≥4 core sessions (months 0-6) and had complete data on maintenance attendance (≥4 of 6 sessions during months 7-12) and 6- and 12-month WL (5% WL goal, yes/no). Multivariate logistic regression was used to estimate the odds of 12-month 5% WL associated with maintenance attendance and 6-month WL. Associations between age (Medicare-eligible ≥65 vs <65 years) and WL and attendance were examined.

RESULTS

Both attending ≥4 maintenance sessions and meeting the 6-month 5% WL goal increased the odds of meeting the 12-month 5% WL goal. For those not meeting the 6-month WL goal, maintenance session attendance did not improve odds of 12-month WL success. Medicare-eligible adults ≥65 years were more likely to meet the 12-month WL goal (odds ratio = 3.03, 95% CI, 1.58-5.81) versus <65 years.

CONCLUSIONS

The results of this study provide important information regarding participant attendance and WL for providers offering DPP-based lifestyle intervention programs across the country who are seeking Medicare reimbursement. Understanding Medicare reimbursement-defined success will allow these providers to focus on and develop strategies to enhance program effectiveness and sustainability.

The association between sleep quality and quality of life: a population-based study

OBJECTIVES

This study aimed to evaluate the association between sleep quality and quality of life (QoL).

METHODS

This cross-sectional study included 225,541 adults (101,133 men, 124,408 women) who participated in the 2018 Korean Community Health Survey. Multiple sociodemographic and psychosocial variables were evaluated and compared between participants with poor (n = 67,619) and good sleep quality (n = 157,922); sleep quality was subjectively determined using the Pittsburgh Sleep Quality Index (PSQI). The EuroQol five-dimension (EQ-5D) index scores were adjusted for multiple confounding factors and compared between the good and poor sleep quality groups. A logistic regression analysis was used to identify determinants of the lowest quartile of QoL.

RESULTS

The mean EQ-5D index scores were significantly lower in the poor sleep quality group (score 0.85) than in the good sleep quality group (score 0.92; p < 0.001). The multivariate odds ratio (OR) for the lowest quartile of the EQ-5D index scores in the poor sleep quality group versus that in the good sleep quality group was 1.95 (95% confidence interval [CI], 1.89-2.00). Participants with poor sleep quality were more likely than those with good sleep quality to have some or severe problems with physical activity (OR, 1.46; 95% CI, 1.41-1.51), self-control (OR, 1.35; 95% CI, 1.29-1.42), daily activity (OR, 1.44; 95% CI, 1.39-1.50), pain (OR, 1.81; 95% CI, 1.77-1.86), and anxiety/depression (OR, 2.24; 95% CI, 2.17-2.31).

CONCLUSION

Poor sleep quality is associated with impaired QoL, particularly if some or severe problems with anxiety/depression are present.

Effectiveness of Lifestyle Interventions in an Active Duty Air Force Population

PURPOSE

To examine the effectiveness of 3 lifestyle intervention programs in an active duty military population.

DESIGN

Experimental design with stratified random assignment to 1 of 3 intervention groups. Measures were taken at baseline, 3 months and 6 months.

SETTING

A Military Treatment Facility in the western U.S.

SUBJECTS/INTERVENTION

122 active duty service members were enrolled and randomly assigned to 1 of 3 lifestyle intervention programs: the Diabetes Prevention Program-Group Lifestyle Balance (DPP-GLB), the Better Body Better Life (BBBL) program or the Fitness Improvement Program (FIP).

MEASURES

weight, abdominal circumference, lipid and HbA1c levels, physical activity, and well-being as measured by the RAND SF-36 questionnaire.

ANALYSIS

Statistical analyses were performed to assess changes over time.

RESULTS

83 participants completed the study (BBBL N = 23, FIP N = 30, DPP-GLB N = 30). The DPP-GLB participants had statistically significant decreases in weight (-3.1 pounds, p = .01) and abdominal circumference (-0.9 inches; p = .01) over time. HbA1c was also significantly lower in this group at 6 months compared to baseline (p = .036). There were no statistically significant changes in weight, abdominal circumference, or HbA1c in the FIP or BBBL groups. No significant changes were observed in lipids in any of the groups.

CONCLUSION

Results from this study indicate that the DPP-GLB program may be effective in reducing weight, abdominal circumference, and HbA1c in an active duty U.S. military population.

Relationship between Active Aging and Quality of Life in Middle-Aged and Older Koreans: Analysis of the 2013-2018 KNHANES

With the increase in the aging population worldwide, social interest in having a vibrant and valuable old age has been increasing with changes in the perspectives on old age. This study aimed to determine the relationship between active aging and health-related quality of life (HRQOL) in middle-aged and older Korean using national data. The subjects were 14,117 adults aged ≥55 years. HRQOL was evaluated using the EuroQol-5 Dimension (EQ-5D) questionnaire, and active aging was defined based on the health factors, participation factors, and security factors. The average EQ-5D score was 91.04 ± 0.143. Hierarchical multiple regression analysis sequentially inputting the health, participation, and security factors showed that health factors had the strongest influence on HRQOL (F = 216.656, p < 0.001). In the final model, which included all variables, activity limit (B = -10.477, p < 0.001) and subjective health status (B = -7.282, p < 0.001) were closely related to the HRQOL. In addition, economic activity, income level, home ownership, private health insurance, and unmet healthcare needs were associated with HRQOL. The R2 of the model was 38.2%. To improve the HRQOL of middle-aged and older people, it is necessary to consider active aging factors. Furthermore, follow-up studies using various indicators reflecting active aging should be conducted.

Leisure Sedentary Behavior Levels and Meeting Program Goals in a Community Lifestyle Intervention for Diabetes Prevention

BACKGROUND

The importance of leisure sedentary behavior (LSB) change in diabetes prevention efforts is not well known. This study examines the relationships between changes in self-reported LSB and the primary intervention goals (weight and moderate-intensity to vigorous-intensity physical activity [MVPA]) during a community-based translation of the Diabetes Prevention Program (the Group Lifestyle Balance Program).

METHODS

A total of 322 adults at risk for type 2 diabetes were recruited from 3 community centers, a worksite, and military site. Community and worksite participants were randomized to immediate or delayed-delivery (control) intervention. All military site participants (n = 99) received immediate intervention. Logistic and linear generalized estimating equations were used to determine associations between LSB changes and weight-related outcomes and MVPA.

RESULTS

Results were obtained for 259 (80.4%) participants. The LSB decreased after 6 and 12 months (mean [95% confidence interval]: -25.7 [-38.6 to -12.8] and -16.1 [-28.2 to -3.9] min/d; both P < .05). Each 20-minute reduction in LSB was associated with a 5% increase in odds of meeting the weight-loss goal (6 mo: odds ratio = 1.05 [1.002 to 1.102]; P = .042; adjusted model including MVPA), but LSB was not related to changes in reported MVPA minutes or MVPA goal achievement.

CONCLUSION

Within the context of existing lifestyle intervention programs, reducing sedentary behavior has the potential to contribute to weight loss separately from reported MVPA improvement.

Efficacy of an Online Physical Activity Intervention Coordinated With Routine Clinical Care: Protocol for a Pilot Randomized Controlled Trial

Background

Most adults are not achieving recommended levels of physical activity (150 minutes/week, moderate-to-vigorous intensity). Inadequate activity levels are associated with numerous poor health outcomes, and clinical recommendations endorse physical activity in the front-line treatment of obesity, diabetes, dyslipidemia, and hypertension. A framework for physical activity prescription and referral has been developed, but has not been widely implemented. This may be due, in part, to the lack of feasible and effective physical activity intervention programs designed to coordinate with clinical care delivery.

Objective

This manuscript describes the protocol for a pilot randomized controlled trial (RCT) that tests the efficacy of a 13-week online intervention for increasing physical activity in adult primary care patients (aged 21-70 years) reporting inadequate activity levels. The feasibility of implementing specific components of a physical activity clinical referral program, including screening for low activity levels and reporting patient program success to referring physicians, will also be examined. Analyses will include participant perspectives on maintaining physical activity.

Methods

This pilot study includes a 3-month wait-listed control RCT (1:1 ratio within age strata 21-54 and 55-70 years). After the RCT primary end point at 3 months, wait-listed participants are offered the full intervention and all participants are followed to 6 months after starting the intervention program. Primary RCT outcomes include differences across randomized groups in average step count, moderate-to-vigorous physical activity, and sedentary behavior (minutes/day) derived from accelerometers. Maintenance of physical activity changes will be examined for all participants at 6 months after the intervention start.

Results

Recruitment took place between October 2018 and May 2019 (79 participants were randomized). Data collection was completed in February 2020. Primary data analyses are ongoing.

Conclusions

The results of this study will inform the development of a clinical referral program for physical activity improvement that combines an online intervention with clinical screening for low activity levels, support for postintervention behavior maintenance, and feedback to the referring physician.

Trial Registration

ClinicalTrials.gov NCT03695016; https://clinicaltrials.gov/ct2/show/NCT03695016.

International Registered Report Identifier (IRRID)

DERR1-10.2196/18891

Relationship between Smoking, Physical Activity, Screen Time, and Quality of Life among Adolescents

Background: Quality of life (QOL) is a crucial part of evaluating health conditions IN adolescents. The purposes of this study were to (1) examine the relationship of QOL and smoking, physical activity (PA) and screen time (ST) among Chinese adolescents, (2) explore the relationship between PA-ST combination and QOL of adolescents, and (3) investigate the dose-response relationship between PA-ST and QOL. Methods: This study randomly selected 12,900 adolescents (11–18 years) from 13 administrative regions in Shandong Province, China. The data gathering tools for Smoking (tobacco), PA (PAQ-A) and ST (average daily time for ST) and QOL questionnaire (child and adolescent quality of life scale) were completed among all adolescents. Statistical analysis was performed by T test, chi-square test and multiple linear regression. Results: 12,641 adolescents (aged 12–18) completed the study. In multiple linear regression models, the result demonstrated that the adolescents from rural areas, with high ST, low PA, and smoking, with older age and low socioeconomic status, showed a lower QOL score. First-time smokers under 10 years revealed the lowest QOL, and PA > 30 min five days per week have the highest QOL. In addition, boys and girls with PA > 30 min three to four days per week in high ST group obtain the higher scores (boys β = 5.951, girls β = 3.699) than low PA-low ST groups. Conclusions: Adolescents from rural areas suffer from a relatively poorer QOL. More than 30 min of PA five or more days for boys and three or four days per week for girls could decrease negative effects of ST and improve QOL.

Association between fatigue, pain, digestive problems, and sleep disturbances and individuals' health-related quality of life: a nationwide survey in South Korea

Background

Physical symptoms such as fatigue, pain, digestive problems, and sleep disturbances are chief reasons individuals seek primary care, as they affect health-related quality of life. We investigated the associations between various combinations of these common symptoms and individuals’ health-related quality of life.

Methods

This large-scale survey study of 1100 Koreans aged ≥19 years was conducted in 2017 using multi-stage stratified sampling based on region, sex, and age. Data were collected using questionnaires administered face-to-face; then, a linear regression analysis was performed to assess how the symptoms were related to participants’ health-related quality of life. Complex symptoms were defined as co-occurrence of two or more of the four symptoms—fatigue, pain, digestive problems, and sleep disturbances.

Results

The most frequently observed stand-alone symptom was fatigue, while the most common combination was fatigue and pain. When examined individually, fatigue, digestive problems, and sleep disturbances were closely associated with mental health-related quality of life, and pain was associated with physical health-related quality of life. Complex symptoms were also related to health-related quality of life. Lower physical health-related quality of life was strongly associated when fatigue and pain or all four symptoms were co-occurring, and the lowest mental health-related quality of life was seen when all four symptoms were present, after adjusting for all variables.

Conclusions

Symptoms can be present in various combinations and are significantly associated with health-related quality of life. Extra attention should be given to patterns accompanying fatigue and pain and to those involving more symptoms. This elucidated the characteristics of symptoms that affect the health-related quality of life of South Korean adults.

Healthy aging and the University of the Third Age - Health behavior and subjective health outcomes in older adults

INTRODUCTION

By participating in the University of the Third Age (U3A), retirees are offered the opportunity for activation and development in the later years of life. However, little is known how certain aspects of healthy aging, such as health-related behavior and subjective health outcomes, differ between U3A students and other older adults not taking part in any form of education. To address this, the aim of the present study was to compare selected aspects of healthy aging in a group of U3A members with older adults not taking part in any form of lifelong learning. The study also establishes relationships between the tested variables and predictors of health behavior.

MATERIALS AND METHODS

277 older adults (130 U3A members and 147 non-members) aged 60-92 (M = 68.84, SD = 5.32) completed measures of health behavior, self-rated physical health, self-rated sense of own health responsibility and satisfaction with life.

RESULTS

The U3A attendees presented significantly higher scores for general health behavior and some of its components, and declared higher self-rated health than their peers not affiliated to any educational organization. Self-rated health, responsibility for health and satisfaction with life were positively correlated with general health behavior and most of their categories. but the correlation coefficients differed between both groups. A hierarchical regression model demonstrated the predictive roles of attendance in U3A, sociodemographic and subjective factors in health behavior undertaking.

CONCLUSIONS

The study results may help to identify older adults who should be targeted in interventions aimed at supporting healthy aging.

Relationship between multiple lifestyle behaviors and health-related quality of life among elderly individuals with prediabetes in rural communities in China: A STROBE-compliant article

Evidence of the effect of lifestyle behaviors on health-related quality of life (HRQoL) is scarce or ambiguous. The objective of the present study was to explore the associations between multiple lifestyle behaviors and HRQoL among the elderly individuals with prediabetes.Four hundred thirty-four elderly individuals with prediabetes were included in this cross-sectional study. The Medical Outcomes Study 36-Item Short Form Health Survey Questionnaire (SF-36) was used to assess HRQoL. Multiple lifestyle behaviors, including smoking, alcohol consumption, physical activity, dietary habits, daily sedentary time and sleep duration were self-reported. The associations between HRQoL and multiple lifestyle behaviors were examined using a multivariate linear regression analysis.Lower-risk physical activities (β =3 .19, 95% CI: 1.32, 5.64), dietary habits (β = 2.60, 95% CI: 1.50, 4.72), and sedentary time (β = 2.49, 95% CI: 1.21, 4.81) were positively associated with the physical health component score (PCS) for HRQoL. Meanwhile, a lower-risk behavior, such as sleep duration (β = 2.64, 95% CI: 1.77, 4.51), was associated with a higher mental health component score (MCS) for HRQoL after adjusting for socio-demographic factors, chronic diseases, anthropometric data and all other lifestyle behaviors. Engaging in a greater number of lower-risk lifestyle behaviors was positively correlated with a better HRQoL.Multiple lifestyle behaviors were associated with HRQoL among the elderly individuals with prediabetes in rural areas. These results highlight the need for multiple lifestyle behavioral interventions to maintain and improve HRQoL in the elderly individuals with prediabetes.

Using a RE-AIM framework to identify promising practices in National Diabetes Prevention Program implementation

BACKGROUND

The National Diabetes Prevention Program (National DPP) is rapidly expanding in an effort to help those at high risk of type 2 diabetes prevent or delay the disease. In 2012, the Centers for Disease Control and Prevention funded six national organizations to scale and sustain multistate delivery of the National DPP lifestyle change intervention (LCI). This study aims to describe reach, adoption, and maintenance during the 4-year funding period and to assess associations between site-level factors and program effectiveness regarding participant attendance and participation duration.

METHODS

The Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework was used to guide the evaluation from October 2012 to September 2016. Multilevel linear regressions were used to examine associations between participant-level demographics and site-level strategies and number of sessions attended, attendance in months 7-12, and duration of participation.

RESULTS

The six funded national organizations increased the number of participating sites from 68 in 2012 to 164 by 2016 across 38 states and enrolled 14,876 eligible participants. By September 2016, coverage for the National DPP LCI was secured for 42 private insurers and 7 public payers. Nearly 200 employers were recruited to offer the LCI on site to their employees. Site-level strategies significantly associated with higher overall attendance, attendance in months 7-12, and longer participation duration included using self-referral or word of mouth as a recruitment strategy, providing non-monetary incentives for participation, and using cultural adaptations to address participants' needs. Sites receiving referrals from healthcare providers or health systems also had higher attendance in months 7-12 and longer participation duration. At the participant level, better outcomes were achieved among those aged 65+ (vs. 18-44 or 45-64), those who were overweight (vs. obesity), those who were non-Hispanic white (vs. non-Hispanic black or multiracial/other races), and those eligible based on a blood test or history of gestational diabetes mellitus (vs. screening positive on a risk test).

CONCLUSIONS

In a time of rapid dissemination of the National DPP LCI the findings of this evaluation can be used to enhance program implementation and translate lessons learned to similar organizations and settings.

Association between physical activity and health-related quality of life in elderly individuals with pre-diabetes in rural Hunan Province, China: a cross-sectional study

OBJECTIVES

There are few data on the relationship between health-related quality of life (HRQoL) and physical activity among elderly individuals with pre-diabetes. This study aimed to determine if differences existed in HRQoL between individuals with pre-diabetes who were physically active compared with those who were physically inactive in rural China.

DESIGN, SETTING AND PARTICIPANTS

A cross-sectional survey was conducted among the elderly (≧60 years) in rural communities in Yiyang City of China. Multistage cluster random sampling was carried out to select 42 areas, and interviews were conducted among 434 elderly individuals with pre-diabetes. Pre-diabetes was screened using an oral glucose tolerance test.

MAIN OUTCOME MEASURES

The Medical Outcomes Study 36-Item Short Form Health Survey questionnaire was used to measure HRQoL. Physical activity was assessed using the International Physical Activity Questionnaire. Multivariate analysis of covariance (MANCOVA) was used to test for differences in HRQoL between the physically active group and the inactive group.

RESULTS

A total of 434 individuals with pre-diabetes were included in this study. The physical component summary (PCS) score of HRQoL was 42.1±10.2 and the mental component summary score was 46.4±8.9. A median total physical activity of 524 metabolic equivalent-min/week was reported. A significant MANCOVA model (Wilks' λ=0.962, F(2,423)=8.44, P<0.001) indicated that elderly individuals with pre-diabetes who were physically active reported higher PCS scores (M_diff=5.2, P<0.001, effective size=0.47) compared with those physically inactive after adjusting for the following covariates: age, gender, marital status, education, smoking, chronic disease, body mass index and waist:hip ratio.

CONCLUSIONS

The HRQoL of elderly individuals with pre-diabetes is poor in rural China. These findings demonstrated that elderly individuals with pre-diabetes who were physically active had higher PCS scores than those who were physically inactive. Furthermore, these results support the rationale for developing a physical activity intervention for HRQoL of individuals with pre-diabetes.

TRIAL REGISTRATION NUMBER

ChiCTR-IOR-15007033; Results.

Association between exercise type and quality of life in a community-dwelling older people: A cross-sectional study

OBJECTIVES

This study aimed to investigate the effects of three major representative exercises (resistance, flexibility, and walking) on quality of life (QoL) in a population of community-dwelling older adults.

MATERIALS AND METHODS

This cross-sectional study used public data from the Sixth Korean National Health and Nutrition Examination Survey in 2014 (n = 1,586 older people). Demographic factors, three types of exercise, five EuroQoL subsets (mobility, self-care, usual activities, pain/discomfort, anxiety/depression), and QoL scores (EQ-VAS) were investigated. The independent associations between each exercise and the five QoL subsets were determined using odds ratios (OR) adjusted for three demographic factors (age group, sex, and area of residence), using multivariate logistic regression analysis.

RESULTS

The EQ-VAS scores of the exercisers was significantly higher than those of the non-exercisers for all exercise types. Subjects with problems in mobility dimension performed less exercise of all types of than those with normal mobility (resistance: OR, 0.687; flexibility: OR, 0.733, and walking: OR, 0.489). The self-care dimension was independently correlated with flexibility (OR, 0.558) and walking (OR, 0.485).

CONCLUSION

All types of exercisers showed higher QoL scores than non-exercisers. Among the QoL dimensions, mobility and self-care were independently associated with flexibility and walking exercise in this older people, suggesting that engaging in regular flexibility and walking exercise is important for achieving higher QoL in the older people.

Factors related to lifestyle goal achievement in a diabetes prevention program dissemination study

The U.S. Diabetes Prevention Program (DPP) showed that lifestyle participants who achieved ≥7% weight loss and ≥150 min/week physical activity experienced the greatest reduction in type 2 diabetes incidence. Demographic, clinical, and program factors that are related to achieving both these lifestyle goals have seldom been explored in community-delivered DPP programs. The purpose of this investigation is to examine factors associated with concurrent achievement of weight loss and physical activity goals in a 12-month community DPP lifestyle intervention. Adults [n = 223; age = 58.4 (SD = 11.5); BMI = 33.8 (SD = 6.0)] with glucose or HbA1c values in the pre-diabetes range and/or metabolic syndrome risk factors enrolled from one worksite and three community centers in the Pittsburgh, PA metropolitan area between January 2011 and January 2014. Logistic regression analyses determined the demographic, clinical and program adherence factors related to goal achievement at 6, 12, and 18 months. Participants achieving both intervention goals at 6 months (n = 57) were more likely to attend sessions [Adjusted Odds Ratio (AOR) =1.48], self-weigh (AOR = 1.19), and self-monitor behaviors (AOR = 1.18) than those meeting neither goal (n = 35; all p < 0.05). Baseline BMI (AOR = 0.87, p < 0.01), elevated glycemic status (AOR = 0.49, p < 0.05), and female sex (AOR = 0.52, p < 0.05) were inversely related to goal achievement at 6 months. Meeting either lifestyle goal at 6 months had the strongest association with meeting both goals at 12 and 18 months. Our study supports the importance of early engagement, regular attendance, self-monitoring, and self-weighing for goal achievement. Dissemination efforts should consider alternative approaches for those not meeting goals by 6 months to enhance long-term success.

Examination of a Nurse-led Community-based Education and Coaching Intervention for Coronary Heart Disease High-risk Individuals in China

PURPOSE

Early detection and management of coronary heart disease (CHD) are embedded into many community health service and primary care practices in western countries. The Framingham CHD risk score has been used to predict CHD and mortality for nearly 20 years, and it has predicted CHD event risk accurately in multiethnic populations. The aim of this study was to access the effect of a 6-month community-based intervention on CHD risk in individuals at high risk.

METHODS

A randomized controlled trial of individuals with a high 10-year CHD risk were recruited from two communities in China. Individuals in the intervention group (n = 53) received a 3-month group education and a 3-month coaching session. Physical examination and self-report questionnaires were used to collect both pre- and postintervention data on blood pressure, glucose, cholesterol, body mass index, smoking, depression, and health-related quality of life (HRQoL).

RESULTS

A total of 102 participants (85.0%) completed the 6-month study. Compared with the usual care group, the intervention group had a 5 mmHg greater reduction in systolic blood pressure (t = 2.01, p = .047), larger declines in glucose (t = -2.49, p = .015), cholesterol (t = -2.44, p = .017), body mass index (t = -2.58, p = .011), and depression (t = -2.05, p = .043), and better reports of HRQoL (t = 3.36, p = .001). No significant group differences in smoking behaviors were reported.

CONCLUSION

A 6-month community-based intervention in a CHD high-risk population improved disease-related risk factors, depression, and HRQoL. Results provide preliminary evidence for primary prevention of cardiovascular disease risk in a community high-risk population.

Effects of an abbreviated obesity intervention supported by mobile technology: The ENGAGED randomized clinical trial

OBJECTIVE

To determine the effects on weight loss of three abbreviated behavioral weight loss interventions with and without coaching and mobile technology.

METHODS

A randomized controlled efficacy study of three 6-month weight loss treatments was conducted in 96 adults with obesity: 1) self-guided (SELF), 2) standard (STND), or 3) technology-supported (TECH). STND and TECH received eight in-person group treatment sessions. SELF and STND used paper diaries to self-monitor diet, activity, and weight; TECH used a smartphone application with social networking features and wireless accelerometer.

RESULTS

Weight loss was greater for TECH and STND than SELF at 6 months (-5.7 kg [95% confidence interval: -7.2 to -4.1] vs. -2.7 kg [95% confidence interval: -5.1 to -0.3], P < 0.05) but not 12 months. TECH and STND did not differ except that more STND (59%) than TECH (34%) achieved ≥ 5% weight loss at 6 months (P < 0.05). Self-monitoring adherence was greater in TECH than STND (P < 0.001), greater in both interventions than SELF (P < 0.001), and covaried with weight loss (r(84) = 0.36-0.51, P < 0.001).

CONCLUSIONS

Abbreviated behavioral counseling can produce clinically meaningful weight loss regardless of whether self-monitoring is performed on paper or smartphone, but long-term superiority over standard of care self-guided treatment is challenging to maintain.

The Effects of a Health Partner Program on Improving Health Status Among Overweight/Obese Individuals With and Without Prediabetes

The purpose of this study was to compare baseline health status in overweight/obese adults with and without prediabetes and to determine whether a health partner program improved health status at 1-year follow-up from 2010 to 2011. Sociodemographic information, body composition, blood work, and health status were obtained from both baseline and 1-year follow-up visit. Healthy overweight/obese participants with prediabetes were likely to self-report poorer physical functioning compared with those without prediabetes at baseline. At the 1-year follow-up visit, compared with participants without prediabetes, participants with prediabetes had the greatest improvements in physical functioning. Although participants without prediabetes had a significant improvement in mental functioning, there were no significant differences in changes in mental functioning between those with and without prediabetes. Early interventions to improve health status are important, and provider advice and preventive measures aimed at improving health status should be integrated into clinical practice.