In Search of a Gold Standard Tool for Assessing Knowledge of Stroke: A Systematic Review.

BACKGROUND: Knowledge of stroke is essential to empower people to reduce their risk of these events. However, valid tools are required for accurate and reliable measurement of stroke knowledge. We aimed to systematically review contemporary stroke knowledge assessment tools and appraise their content validity, feasibility, and measurement properties. METHODS: The protocol was registered in PROSPERO (CRD42023403566). Electronic databases (MEDLINE, PsycInfo, CINAHL, Embase, Scopus, Web of Science) were searched to identify published articles (1 January 2015-1 March 2023), in which stroke knowledge was assessed using a validated tool. Two reviewers independently screened titles and abstracts prior to undertaking full-text review. COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methods guided the appraisal of content validity (relevance, comprehensiveness, comprehensibility), feasibility, and measurement properties. RESULTS: After removing duplicates, the titles and abstracts of 718 articles were screened; 323 reviewed in full; with 42 included (N = 23 unique stroke knowledge tools). For content validity, all tools were relevant, two were comprehensive, and seven were comprehensible. Validation metrics were reported for internal consistency (n = 20 tools), construct validity (n = 17 tools), cross-cultural validity (n = 15 tools), responsiveness (n = 9 tools), reliability (n = 7 tools), structural validity (n = 3 tools), and measurement error (n = 1 tool). The Stroke Knowledge Test met all content validity criteria, with validation data for six measurement properties (n = 3 rated "Sufficient"). CONCLUSION: Assessment of stroke knowledge is not standardised and many tools lacked validated content or measurement properties. The Stroke Knowledge Test was the most comprehensive but requires updating and further validation for endorsement as a gold standard.

Cardiovascular Disease Risk Scores and Incident Dementia and Cognitive Decline in Older Men and Women.

INTRODUCTION: Risk factors for cardiovascular disease (CVD) also increase the risk of dementia. However, whether commonly used CVD risk scores are associated with dementia risk in older adults who do not have a history of CVD, and potential gender differences in this association, remains unclear. The aim of this study was to determine whether CVD risk scores are prospectively associated with cognitive decline and dementia in initially healthy older men and women. METHODS: A total of19,114 participants from a prospective cohort of individuals aged 65+ years without known CVD or dementia were recruited. The atherosclerotic cardiovascular disease risk score (ASCVDRS), Systematic Coronary Risk Evaluation 2-Older Persons (SCORE2-OP), and the Framingham risk score (FRS) were calculated at baseline. Risk of dementia (according to DSM-IV criteria) and cognitive decline (defined as a >1.5 standard deviation decline in global cognition, episodic memory, psychomotor speed, or verbal fluency from the previous year) were assessed using hazard ratio. RESULTS: Over a median follow-up of 6.4 years, 850 individuals developed dementia and 4,352 cognitive decline. Men and women in the highest ASCVDRS tertile had a 41% (95% CI 1.08, 1.85) and 45% (1.11, 1.89) increased risk of dementia compared to the lowest tertile, respectively. Likewise, men and women in the highest SCORE2-OP tertile had a 64% (1.24, 2.16) and 60% (1.22, 2.11) increased risk of dementia compared to the lowest tertile, respectively. Findings were similar, but the risk was slightly lesser when examining risk of cognitive decline for both ASCVDRS and SCORE2-OP. However, FRS was only associated with the risk of cognitive decline among women (highest vs. lowest tertiles: 1.13 [1.01-1.26]). CONCLUSION: These findings suggest the utility of the ASCVDRS and SCORE2-OP in clinical practice, to not only assess future risk of CVD, but also as potential early indicators of cognitive impairment, even in relatively healthy older men and women.

Gender-specific analysis of social connection patterns and risk of dementia in community-dwelling older people.

INTRODUCTION: Poor social connection is considered a risk factor for dementia. Since socializing behaviors may cluster together or act compensatorily, we aimed to investigate social connection patterns and their association with dementia, for men and women separately. METHODS: A total of 12,896 community-dwelling older adults (mean ± SD age: 75.2 ± 4.3 years, 54% women) without major cognitive impairment were included. Latent class analysis was conducted using 24 baseline social connection indicators. Cox proportional hazards regression was used to estimate the association between latent classes and incident dementia over 12 (median: 8.4) years follow-up. RESULTS: Three distinct classes were identified in both genders: strong social connections with an intermediate friend-relative network (Class 1: men, 43.8%; women, 37.9%), weak social connections (Class 2: men, 29.6%; women, 27.4%), and strong social connections with a larger friend-relative network (Class 3: men, 26.6%; women, 34.7%). Compared to Class 1, men in Class 2 (HR: 1.38, 95% CI: 1.08-1.77) and women in Class 3 (HR: 1.27, 95% CI: 1.01-1.60) had an increased risk of dementia. DISCUSSION: Dementia risk varies with different social connection patterns among older men and women. HIGHLIGHTS: Three distinct social connection patterns were identified based on 24 indicators. These patterns were related to dementia risk differently in men and women. In men, a weak social connection pattern was associated with a higher dementia risk. In women, a strong social connection with a relatively larger friend-relative network was associated with a greater dementia risk.

The effect of depressive symptoms on disability-free survival in healthy older adults: A prospective cohort study.

BACKGROUND: Gerontology and ageing research are increasingly focussing on healthy life span (healthspan), the period of life lived free of serious disease and disability. Late-life depression (LLD) is believed to impact adversely on physical health. However, no studies have examined its effect on healthspan. This study investigated the effect of LLD and subthreshold depression on disability-free survival, a widely accepted measure of healthspan. METHODS: This prospective cohort study used data from the ASPirin in Reducing Events in the Elderly study. Participants were aged ≥70 years (or ≥65 years for African-American and Hispanic participants) and free of dementia, physical disability and cardiovascular disease. Depressive symptoms were measured using the 10-item Centre for Epidemiological Studies Depression Scale (CES-D-10). LLD and subthreshold depression were defined as CES-D-10 scores ≥8 and 3-7, respectively. Disability-free survival was defined as survival free of dementia and persistent physical disability. RESULTS: A total of 19,110 participants were followed up for a maximum of 7.3 years. In female participants, LLD was associated with lower disability-free survival adjusting for sociodemographic and lifestyle factors, medical comorbidities, polypharmacy, physical function and antidepressant use (HR, 1.50; 95% CI, 1.23-1.82). In male participants, LLD was associated with lower disability-free survival adjusting for sociodemographic and lifestyle factors (HR, 1.30; 95% CI, 1.03-1.64). Subthreshold depression was also associated with lower disability-free survival in both sexes. CONCLUSIONS: LLD may be a common and important risk factor for shortened healthspan.

Lifetime posttraumatic stress disorder as a predictor of mortality: a systematic review and meta-analysis.

BACKGROUND: Posttraumatic Stress Disorder (PTSD) could potentially increase the risk of mortality, and there is a need for a meta-analysis to quantify this association. This study aims to determine the extent to which PTSD is a predictor of mortality. METHODS: EMBASE, MEDLINE, and PsycINFO were searched systematically on 12th February 2020, with updated searches conducted in July 2021, and December 2022 (PROSPERO CRD42019142971). Studies involving community-dwelling participants with a diagnosis of PTSD or PTSD symptoms, and a comparator group of individuals without PTSD, and which assessed mortality risk, were included. A random-effects meta-analysis was conducted on studies reporting Odds Ratio (OR), Hazard Ratio (HR), and Risk Ratio (RR), and subgroup analysis was also performed by age, sex, type of trauma experienced, PTSD diagnosis, and cause of death. RESULTS: A total of 30 eligible studies of mostly good methodological quality were identified, with a total of more than 2.1 million participants with PTSD. The majority of studies involved male-dominated, veteran populations. PTSD was associated with a 47% (95% CI: 1.06-2.04) greater risk of mortality across six studies that reported OR/RR, and a 32% increased risk across 18 studies which reported time to death (HR: 1.32, 95% CI: 1.10-1.59). There was very high study heterogeneity (I2 > 94%) and this was not explained by the prespecified subgroup analysis. CONCLUSION: PTSD is associated with increased mortality risk, however further research is required amongst civilians, involving women, and in individuals from underdeveloped countries.

Long-term care need, loneliness, and perceived social isolation during the COVID-19 pandemic: evidence from the German Ageing Survey.

BACKGROUND: There is a complete lack of studies focusing on the association between care degree (reflecting the long-term care need) and loneliness or social isolation in Germany. AIMS: To investigate the association between care degree and loneliness as well as perceived social isolation during the COVID-19 pandemic. METHODS: We used data from the nationally representative German Ageing Survey, which covers community-dwelling middle-aged and older individuals aged 40 years or over. We used wave 8 of the German Ageing Survey (analytical sample: n = 4334 individuals, mean age was 68.9 years, SD: 10.2 years; range 46-100 years). To assess loneliness, the De Jong Gierveld instrument was used. To assess perceived social isolation, the Bude and Lantermann instrument was used. Moreover, the level of care was used as a key independent variable (absence of care degree (0); care degree 1-5). RESULTS: After adjusting for various covariates, regressions showed that there were no significant differences between individuals without a care degree and individuals with a care degree of 1 or 2 in terms of loneliness and perceived social isolation. In contrast, individuals with a care degree of 3 or 4 had higher loneliness (ß = 0.23, p = 0.034) and higher perceived social isolation scores (ß = 0.38, p < 0.01) compared to individuals without a care degree. DISCUSSION/CONCLUSIONS: Care degrees of 3 or 4 are associated with higher levels of both loneliness and perceived social isolation. Longitudinal studies are required to confirm this association.

Impact of economic factors, social health and stressful life events on physical health-related quality of life trajectories in older Australians.

PURPOSE: Physical health-related quality of life (HRQoL) is associated with adverse health outcomes, including hospitalizations and all-cause mortality. However, little is known about how physical HRQoL changes over time in older people and the predictors of this trajectory. This study (a) identified trajectories of physical HRQoL among older people and (b) explored whether economic factors, social health or stressful life events impact physical HRQoL trajectories. METHOD: A cohort of 12,506 relatively 'healthy' community-dwelling Australians aged ≥ 70 years (54.4% females), enrolled in the ASPREE Longitudinal Study of Older Persons (ALSOP) study and was followed for six years. Economic factors, social health and life events in the last 12 months were assessed through a questionnaire at baseline. Physical HRQoL was measured by using the 12-item short form at baseline and annual follow-ups. Growth mixture and structural equation modelling were used to identify physical HRQoL trajectories and their predictors. RESULTS: Four physical HRQoL trajectories were identified-stable low (7.1%), declining (9.0%), stable intermediate (17.9%) and stable high (66.0%). Living in more disadvantaged areas, having a lower household income, no paid work, no voluntary work, loneliness and stressful life events (i.e. spousal illness, friend/family illness, financial problem) were associated with a 10%-152% higher likelihood of being in the stable low or declining physical HRQoL trajectory than the stable high group. CONCLUSION: Specific stressful life events had a greater impact on adverse physical HRQoL trajectories in older people than other factors. Volunteering may prevent physical HRQoL decline and requires further investigation.

The Association of Weight Loss, Weight Status, and Abdominal Obesity with All-Cause Mortality in Older Adults.

OBJECTIVES: The objectives of this study were to examine whether weight loss, weight status (based on body mass index [BMI] categories), and abdominal obesity (based on waist circumference [WC]) were associated with a 17-year mortality risk in community-dwelling older adults. METHODS: Participants were 2,017 community-dwelling adults aged 65 years or above in the longitudinal Enquête de Santé Psychologique-Risques, Incidence et Traitement study. Self-reported weight loss was collected at baseline during face-to-face interviews. Bodyweight (kg), height (m), and WC (cm) were independently measured at the baseline. BMI was categorized as follows: underweight (BMI <18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), and obese (≥30 kg/m2). Abdominal obesity was defined by a WC of ≥102 cm in men and ≥88 cm in women. Adjusted Cox proportional hazards models were used to examine associations of weight loss, weight status, and abdominal obesity with all-cause mortality. RESULTS: Over 17 years of follow-up (median 15.5 years), 812 participants died. Abdominal obesity compared to nonabdominal obesity was associated with a 49% increased mortality risk (95% confidence interval (CI): 1.22-1.83). However, being overweight (but not obese) was associated with a 20% decreased risk (95% CI: 0.66-0.97) compared to a normal BMI. Gender did not affect these associations. In the whole cohort, self-reported weight loss at baseline was not associated with an increased mortality risk after adjusting for health and lifestyle factors. However, in men, a baseline self-reported recent weight loss of >3 kg was associated with a 52% increase in mortality risk (95% CI: 1.05-2.18) in a fully adjusted model. CONCLUSION: In community-dwelling adults aged ≥65 years, abdominal obesity was strongly associated with increased mortality risk. Being overweight appeared, however, to be protective against mortality. Modest self-reported weight loss was not associated with all-cause mortality in community-dwelling older adults after adjusting for health and lifestyle factors. However, men reporting recent weight loss of more than 3 kg may be at increased risk. The findings of this study support the use of WC, rather than BMI, as a predictor of mortality risk in older adults.

Social isolation, social support and loneliness as independent concepts, and their relationship with health-related quality of life among older women.

Objectives: To assess whether social isolation, social support, and loneliness are independently associated with health-related quality of life (HRQoL).Method: Retrospective analysis including 10,517 women aged 70-75 years from the Australian Longitudinal Study on Women's Health (ALSWH). Social isolation, social support (Duke Social Support Index), and loneliness (single item) were investigated for their association with standardised HRQoL (physical [PCS] and mental [MCS] components of the SF-36® questionnaire). Analyses were adjusted for sociodemographic variables and number of medical conditions.Results: Only 3% reported being socially isolated, having low social support and being lonely, and 34% reported being not socially isolated, high social support and not being lonely. Each construct was independently associated with HRQoL, with loneliness having the strongest inverse association (PCS: isolation -0.98, low support -2.01, loneliness -2.03; MCS: isolation -1.97, low support -4.79, loneliness -10.20; p-value < 0.001 for each). Women who were not isolated or lonely and with high social support had the greatest HRQoL (compared to isolated, low social support and lonely; MCS: 17 to 18 points higher, PCS: 5 to 8 points higher). Other combinations of social isolation, social support and loneliness varied in their associations with HRQoL.Conclusion: Ageing populations face the challenge of supporting older people to maintain longer, healthy, meaningful and community-dwelling lives. Among older women, social isolation, low social support and loneliness are distinct, partially overlapping yet interconnected concepts that coexist and are each adversely associated with HRQoL. Findings should be replicated in other cohorts to ensure generalisability across other age groups and men.

Are social isolation, lack of social support or loneliness risk factors for cardiovascular disease in Australia and New Zealand? A systematic review and meta-analysis.

BACKGROUND: An international systematic review concluded that individuals with poor social health (social isolation, lack of social support or loneliness) are 30% more likely to develop coronary heart disease (CHD) and stroke. Notably, the two included Australian papers reported no association between social health and CHD or stroke. OBJECTIVE: We undertook a systematic review and meta-analysis to investigate the association between social isolation, lack of social support and loneliness and cardiovascular disease (CVD) incidence among people living in Australia and New Zealand. METHODS: Four electronic databases were systematically searched for longitudinal studies published until June 2020. Two reviewers undertook title/abstract screen and one reviewer undertook full-text screen and data extraction. Quality was assessed using the Newcastle - Ottawa Quality Assessment Scale. RESULTS: Of the 725 unique records retrieved, five papers met our inclusion criteria. These papers reported data from three Australian longitudinal datasets, with a total of 2137 CHD and 590 stroke events recorded over follow-up periods ranging from 3 to 16 years. Reports of two CHD and two stroke outcomes were suitable for meta-analysis. The included papers reported no association between social health and incidence of CVD in all fully adjusted models and most unadjusted models. CONCLUSIONS: Our systematic review is inconclusive as it identified only a few studies, which relied heavily on self-reported CVD. Further studies using medical diagnosis of CVD, and assessing the potential influence of residential remoteness, are needed to better understand the relationship between social health and CVD incidence in Australia and New Zealand.

Dispositional Optimism and All-Cause Mortality in Older Adults: A Cohort Study.

OBJECTIVE: Optimism is modifiable and may be associated with healthy aging. We aim to investigate whether dispositional optimism is associated with all-cause mortality in adults 70 years and older. METHODS: Between 2010 and 2014, older adults free of serious cardiovascular disease and dementia were recruited through primary care physicians and enrolled in the Aspirin Reducing Events in the Elderly (ASPREE) clinical trial. Australian ASPREE participants were invited to participate in the ASPREE Longitudinal Study of Older Persons (ALSOP) that was running in parallel to ASPREE. Optimism was assessed at baseline using the Life Orientation Test-Revised. The association between optimism, divided into quartiles, and all-cause mortality was assessed using Cox proportional hazards models. RESULTS: A total of 11,701 participants (mean [standard deviation] age = 75.1 [4.24] years; 46.6% men) returned the ALSOP Social questionnaire and completed the Life Orientation Test-Revised. During a median follow-up of 4.7 years, 469 deaths occurred. The fully adjusted model was not significant (hazard ratio = 0.78, 95% confidence interval = 0.58-1.06). There was evidence that age was an effect modifier of the association between optimism and longevity. Higher optimism was associated with lower mortality risk in the oldest individuals only (77+ years; hazard ratio = 0.61, 95% confidence interval = 0.39-0.96). CONCLUSIONS: We observed no independent relationship between optimism and all-cause mortality in the total sample, although optimism seemed to be associated with lower risk among the oldest old (adults 77 years and older).

Social isolation, social support, and loneliness and their relationship with cognitive health and dementia.

BACKGROUND: Poor social health is prevalent in older adults and may be associated with worse cognition, and increased dementia risk. The aim of this study was to determine whether social isolation, social support and loneliness are independently associated with cognitive function and incident dementia over 5 years in older adults, and to investigate potential gender differences. METHODS: Participants were 11,498 community-dwelling relatively healthy Australians aged 70-94, in the ASPREE Longitudinal Study of Older Persons (ALSOP). Social isolation, social support, loneliness and cognitive function were assessed through self-report. Outcomes examined were cognitive decline (>1.5 SD decline in cognitive performance since baseline) and incident dementia (adjudicated according to DSM-IV criteria). RESULTS: Most participants self-reported good social health (92%) with very few socially isolated (2%), with low social support (2%) or lonely (5%). Among women, social isolation and low social support were consistently associated with lower cognitive function (e.g., social support and cognition ß = -1.17, p < 0.001). No consistent longitudinal associations were observed between baseline social health and cognitive decline (over median 3.1 years) or incident dementia (over median 4.4 years; social isolation: HR = 1.00, p = 0.99; low social support: HR = 1.79, p = 0.11; loneliness: HR = 0.72, p = 0.34 among women and men). CONCLUSION: Our study provides evidence that social isolation and a low social support are associated with worse cognitive function in women, but not men. Social health did not predict incident cognitive decline or dementia, but we lacked power to stratify dementia analyses by gender.

Social isolation, social support, loneliness and cardiovascular disease risk factors: A cross-sectional study among older adults.

BACKGROUND: Social health reflects one's ability to form interpersonal relationships. Poor social health is a risk factor for cardiovascular disease (CVD), however an in-depth exploration of the link through CVD risk factors is lacking. AIM: To examine the relationship between social health (social isolation, social support, loneliness) and CVD risk factors among healthy older women and men. METHODS: Data were from 11,498 healthy community-dwelling Australians aged ≥70 years from the ASPirin in Reducing Events in the Elderly (ASPREE) trial and the ASPREE Longitudinal Study of Older Persons sub-study. Ten-year CVD risk was estimated using the Atherosclerotic CVD Risk Scale (ASCVDRS) and the Framingham Risk Score (FRS). RESULTS: Physical inactivity and experiencing depressive symptoms were the only CVD risk factors that consistently differed by all three social health constructs. Loneliness was associated with greater ASCVDRS (women: ß = 0.01, p < 0.05; men: ß = 0.03, p < 0.001), social isolation with greater FRS (women: ß = 0.02, p < 0.01; men: ß = 0.03, p < 0.01) and the social health composite of being lonely (regardless of social isolation and/or social support status) with greater ASCVDRS (women: ß = 0.01, p = 0.02; men: ß = 0.03, p < 0.001). Among men, loneliness was also associated with greater FRS (ß = 0.03, p < 0.001) and social support with greater ASCVDRS (ß = 0.02, p = 0.01). Men were more socially isolated, less socially supported and less lonely than women. CONCLUSION: Social isolation, social support and loneliness displayed diverse relationships with CVD risk factors and risk scores, emphasising the importance of distinguishing between these constructs. These findings inform on potential avenues to manage poor social health and CVD risk among older adults.

The association of weight change and all-cause mortality in older adults: a systematic review and meta-analysis.

OBJECTIVE: there may be age-related differences in the impact of weight change on health. This study systematically reviewed the evidence on the relationship between weight change and all-cause mortality in adults aged 65 years and older. METHODS: MEDLINE, EMBASE and CINAHL were searched from inception to 11 June 2020, PROSPERO CRD 42019142268. We included observational studies reporting on the association between weight change and all-cause mortality in older community-dwelling adults. A random-effects meta-analysis was performed to calculate pooled hazard ratios and scored based on the Agency for Healthcare Research and Quality guidelines. RESULTS: a total of 30 studies, including 1,219,279 participants with 69,255 deaths, demonstrated that weight loss was associated with a 59% increase in mortality risk (hazard ratio (HR): 1.59; 95% confidence interval (CI): 1.45-1.74; P < 0.001). Twenty-seven studies that reported outcomes for weight gain (1,210,116 participants with 65,481 deaths) indicated that weight gain was associated with a 10% increase in all-cause mortality (HR: 1.10; 95%CI: 1.02, 1.17; P = 0.01). Four studies investigated weight fluctuation (2,283 events among 6,901 participants), which was associated with a 63% increased mortality risk (HR: 1.66; 95%CI: 1.28, 2.15). No evidence of publication bias was observed (all P > 0.05). CONCLUSION: for community-dwelling older adults, weight changes (weight loss, gain or weight fluctuation) are associated with an increased risk of all-cause mortality risk relative to stable weight. Further research is needed to determine whether these associations vary depending upon initial weight, and whether or not the weight loss/gain was intentional.

Health-related quality of life and all-cause mortality among older healthy individuals in Australia and the United States: a prospective cohort study.

PURPOSE: Previous research has demonstrated that lower health-related quality of life (HRQoL) is associated with higher morbidity and mortality, especially in-patient groups. The association of HRQoL with all-cause mortality in community samples requires further investigation. This study aimed to examine whether HRQoL predicts all-cause mortality in older healthy community-dwelling people from Australia and the United States (U.S.) enrolled in the Aspirin in Reducing Events in the Elderly (ASPREE) trial. We also explored whether this association varies by gender or country. METHOD: A prospective cohort of 19,106 individuals aged 65-98 years, who were without a dementia diagnosis or a known major life-limiting disease, and completed the 12-item short-form-HRQoL at recruitment (2010-2014). They were followed until June 2017. Cox proportional-hazard models were used to determine the association between the physical (PCS) and mental component scores (MCS) of HRQoL and all-cause mortality, adjusting for sociodemographic factors, health-related behaviours and clinical measures. Hazards ratios were estimated for every 10-unit increase in PCS or MCS. RESULTS: There were 1052 deaths over a median 4.7-years (interquartile range 3.6-5.7) of follow-up, with 11.9 events per 1000 person-years. Higher PCS was associated with lower all-cause mortality (HR 0.83, 95% CI 0.77, 0.89) in the entire sample, while higher MCS was associated with lower mortality among U.S. participants only (HR 0.78, 95% CI 0.63, 0.95). Gender differences in the association of either PCS or MCS with mortality were not observed. CONCLUSION: Our large study provides evidence that HRQoL is inversely associated with all-cause mortality among initially healthy older people.

Social isolation, social support and loneliness as predictors of cardiovascular disease incidence and mortality.

BACKGROUND: Poor social health is associated with increased risk of cardiovascular disease (CVD). Recent research suggests that different social health domains should be considered separately as the implications for health and possible interventions may differ. AIM: To assess social isolation, low social support and loneliness as predictors of CVD. METHODS: Secondary analysis of 11,486 community-dwelling, Australians, aged 70 years and over, free of CVD, dementia, or significant physical disability, from the ASPirin in Reducing Events in the Elderly (ASPREE) trial. Social isolation, social support (Revised Lubben Social Network Scale), and loneliness were assessed as predictors of CVD using Cox proportional-hazard regression. CVD events included fatal CVD, heart failure hospitalization, myocardial infarction and stroke. Analyses were adjusted for established CVD risk factors. RESULTS: Individuals with poor social health were 42 % more likely to develop CVD (p = 0.01) and twice as likely to die from CVD (p = 0.02) over a median 4.5 years follow-up. Interaction effects indicated that poorer social health more strongly predicted CVD in smokers (HR 4.83, p = 0.001, p-interaction = 0.01), major city dwellers (HR 1.94, p < 0.001, p-interaction=0.03), and younger older adults (70-75 years; HR 2.12, p < 0.001, p-interaction = 0.01). Social isolation (HR 1.66, p = 0.04) and low social support (HR 2.05, p = 0.002), but not loneliness (HR 1.4, p = 0.1), predicted incident CVD. All measures of poor social health predicted ischemic stroke (HR 1.73 to 3.16). CONCLUSIONS: Among healthy older adults, social isolation and low social support may be more important than loneliness as cardiovascular risk factors. Social health domains should be considered in future CVD risk prediction models.

Development and piloting of a Checklist for healthy eating And Physical Activity in the Workplace (CEPAW).

To develop and pilot a tool that assesses the infrastructure and policy workplace environment characteristics that may influence employee healthy eating and physical activity behaviours. A checklist was developed with reference to prior tools and piloted at eight worksites. Piloting of the tool demonstrated that it was generally feasible to use, took 1-2 hours to complete and appeared sensitive to differences between workplace environment characteristics. Refinement of the tool occurred after piloting. The final 21-item checklist contains sub-scores capturing policy, infrastructure, healthy eating and physical activity characteristics. This new checklist overcomes some limitations of pre-existing tools as it explicitly considers policy and is short, inexpensive and can be used by workplaces for self-assessment and by health promotion professionals in evaluation studies or as an intervention tool.

Workplace pedometer interventions for increasing physical activity.

BACKGROUND: The World Health Organization (WHO) recommends undertaking 150 minutes of moderate-intensity physical activity per week, but most people do not. Workplaces present opportunities to influence behaviour and encourage physical activity, as well as other aspects of a healthy lifestyle. A pedometer is an inexpensive device that encourages physical activity by providing feedback on daily steps, although pedometers are now being largely replaced by more sophisticated devices such as accelerometers and Smartphone apps. For this reason, this is the final update of this review. OBJECTIVES: To assess the effectiveness of pedometer interventions in the workplace for increasing physical activity and improving long-term health outcomes. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials, MEDLINE, Embase, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Occupational Safety and Health (OSH) UPDATE, Web of Science, ClinicalTrials.gov, and the WHO International Clinical Trials Registry Platform from the earliest record to December 2016. We also consulted the reference lists of included studies and contacted study authors to identify additional records. We updated this search in May 2019, but these results have not yet been incorporated. One more study, previously identified as an ongoing study, was placed in 'Studies awaiting classification'. SELECTION CRITERIA: We included randomised controlled trials (RCTs) of workplace interventions with a pedometer component for employed adults, compared to no or minimal interventions, or to alternative physical activity interventions. We excluded athletes and interventions using accelerometers. The primary outcome was physical activity. Studies were excluded if physical activity was not measured. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane. When studies presented more than one physical activity measure, we used a pre-specified list of preferred measures to select one measure and up to three time points for analysis. When possible, follow-up measures were taken after completion of the intervention to identify lasting effects once the intervention had ceased. Given the diversity of measures found, we used ratios of means (RoMs) as standardised effect measures for physical activity. MAIN RESULTS: We included 14 studies, recruiting a total of 4762 participants. These studies were conducted in various high-income countries and in diverse workplaces (from offices to physical workplaces). Participants included both healthy populations and those at risk of chronic disease (e.g. through inactivity or overweight), with a mean age of 41 years. All studies used multi-component health promotion interventions. Eleven studies used minimal intervention controls, and four used alternative physical activity interventions. Intervention duration ranged from one week to two years, and follow-up after completion of the intervention ranged from three to ten months. Most studies and outcomes were rated at overall unclear or high risk of bias, and only one study was rated at low risk of bias. The most frequent concerns were absence of blinding and high rates of attrition. When pedometer interventions are compared to minimal interventions at follow-up points at least one month after completion of the intervention, pedometers may have no effect on physical activity (6 studies; very low-certainty evidence; no meta-analysis due to very high heterogeneity), but the effect is very uncertain. Pedometers may have effects on sedentary behaviour and on quality of life (mental health component), but these effects were very uncertain (1 study; very low-certainty evidence). Pedometer interventions may slightly reduce anthropometry (body mass index (BMI) -0.64, 95% confidence interval (CI) -1.45 to 0.18; 3 studies; low-certainty evidence). Pedometer interventions probably had little to no effect on blood pressure (systolic: -0.08 mmHg, 95% CI -3.26 to 3.11; 2 studies; moderate-certainty evidence) and may have reduced adverse effects (such as injuries; from 24 to 10 per 100 people in populations experiencing relatively frequent events; odds ratio (OR) 0.50, 95% CI 0.30 to 0.84; low-certainty evidence). No studies compared biochemical measures or disease risk scores at follow-up after completion of the intervention versus a minimal intervention. Comparison of pedometer interventions to alternative physical activity interventions at follow-up points at least one month after completion of the intervention revealed that pedometers may have an effect on physical activity, but the effect is very uncertain (1 study; very low-certainty evidence). Sedentary behaviour, anthropometry (BMI or waist circumference), blood pressure (systolic or diastolic), biochemistry (low-density lipoprotein (LDL) cholesterol, total cholesterol, or triglycerides), disease risk scores, quality of life (mental or physical health components), and adverse effects at follow-up after completion of the intervention were not compared to an alternative physical activity intervention. Some positive effects were observed immediately at completion of the intervention periods, but these effects were not consistent, and overall certainty of evidence was insufficient to assess the effectiveness of workplace pedometer interventions. AUTHORS' CONCLUSIONS: Exercise interventions can have positive effects on employee physical activity and health, although current evidence is insufficient to suggest that a pedometer-based intervention would be more effective than other options. It is important to note that over the past decade, technological advancement in accelerometers as commercial products, often freely available in Smartphones, has in many ways rendered the use of pedometers outdated. Future studies aiming to test the impact of either pedometers or accelerometers would likely find any control arm highly contaminated. Decision-makers considering allocating resources to large-scale programmes of this kind should be cautious about the expected benefits of incorporating a pedometer and should note that these effects may not be sustained over the longer term. Future studies should be designed to identify the effective components of multi-component interventions, although pedometers may not be given the highest priority (especially considering the increased availability of accelerometers). Approaches to increase the sustainability of intervention effects and behaviours over a longer term should be considered, as should more consistent measures of physical activity and health outcomes.

Quality of life and mortality in the general population: a systematic review and meta-analysis.

BACKGROUND: Quality of life (QoL) is multi-dimensional concept of an individual' general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population. METHODS: An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed. RESULTS: Of 4184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992). CONCLUSION: These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.