Does diet quality moderate the long-term effects of discrete but extreme PM2.5 exposure on respiratory symptoms? A study of the Hazelwood coalmine fire.

In 2014, a fire at an open cut coalmine in regional Victoria, Australia burned for 6 weeks. Residents of the nearby town of Morwell were exposed to smoke, which included high levels of fine particulate matter (PM2.5). We investigated whether the long-term effects of PM2.5 on respiratory health were moderated by diet quality. A cross-sectional analysis was conducted of data collected 8.5 years after the mine fire from 282 residents of Morwell and 166 residents from the nearby unexposed town of Sale. Primary outcomes were respiratory symptoms. Exposure was coalmine fire-related PM2.5 and diet quality was assessed as Australian Recommended Food Score (ARFS) derived using the Australian Eating Survey (AES). The moderating effect of diet quality on respiratory outcomes associated with PM2.5 was assessed using logistic regression models, adjusting for potential confounders. Diet quality was poor in this sample, with 60% in the lowest category of overall diet quality. Overall diet quality and fruit and vegetable quality significantly attenuated the association between PM2.5 and prevalence of chronic cough and phlegm. Sauce/condiment intake was associated with a greater effect of PM2.5 on COPD prevalence. No other moderating effects were significant. The moderating effects of overall diet quality and vegetable and fruit intake aligned with a priori hypotheses, suggesting potential protective benefits. While more evidence is needed to confirm these findings, improving diets, especially fruit and vegetable intake, may provide some protection against the effects of smoke exposure from fire events.

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.

Self-rated eyesight among healthy older Australians: Baseline results of the ASPREE Longitudinal Study of Older Persons.

BACKGROUND: We aimed to describe the self-reported level of eyesight amongst a cohort of relatively healthy older Australian adults, and to investigate associations between poorer self-rated eyesight and demographic, health, and functional characteristics METHODS: The ASPirin in Reducing Events in the Elderly (ASPREE) Longitudinal Study of Older Persons (ALSOP) study was embedded in a multisite trial which recruited independently living Australians from general practices (2010-2014). Self-rated eyesight was recorded on a paper-based questionnaire as Excellent, Good, Fair, Poor, Very poor, or Completely blind at the baseline study wave RESULTS: Data from 14 592 participants (aged 70-95 years, 54.61% female) were included in this cross-sectional analysis. Eighty percent of participants reported excellent or good eyesight (n = 11 677). People with complete blindness were precluded from enrolling but 299 participants (2.0%) reported poor or very poor eyesight, and 2616 rated their eyesight as fair (17.9%). Lower levels of eyesight were associated with being older, female, fewer years of formal education, a primary language other than English, smoking, and self-reported macular degeneration, glaucoma, retinopathy, cataracts, and hearing problems (each p ≤ 0.021). People with lower levels of eyesight had a higher number of falls, frailty characteristics, and depressive symptoms, and lower mental and physical health functioning scores (each p < 0.001) CONCLUSIONS: Whilst most of these healthy older Australians reported good or excellent eyesight, a notable minority reported poor or very poor eyesight, and this was associated with a range of poorer health measures. These findings support the need for additional resources to prevent vision loss and associated sequelae.

Estimating the benefits of obesity prevention on productivity: an Australian perspective.

BACKGROUND/OBJECTIVES: Obesity poses one of the biggest public health challenges globally. In addition to the high costs of obesity to the healthcare system, obesity also impacts work productivity. We aimed to estimate the benefits of preventing obesity in terms of years of life, productivity-adjusted life years (PALYs) and associated costs over 10 years. SUBJECTS/METHODS: Dynamic life table models were constructed to estimate years of life and PALYs saved if all new cases of obesity were prevented among Australians aged 20-69 years from 2021 to 2030. Life tables were sex specific and the population was classified into normal weight, overweight and obese. The model simulation was first undertaken assuming currently observed age-specific incidences of obesity, and then repeated assuming all new cases of obesity were reduced by 2 and 5%. The differences in outcomes (years of life, PALYs, and costs) between the two modelled outputs reflected the potential benefits that could be achieved through obesity prevention. All outcomes were discounted by 5% per annum. RESULTS: Over the next 10 years, 132 million years of life and 81 million PALYs would be lived by Australians aged 20-69 years, contributing AU$17.0 trillion to the Australian economy in terms of GDP. A 5% reduction in new cases of obesity led to a gain of 663 years of life and 1229 PALYs, equivalent to AU$262 million in GDP. CONCLUSIONS: Prevention of obesity is projected to result in substantial economic gains due to improved health and productivity. This further emphasises the need for public health prevention strategies to reduce this growing epidemic.

Switching, Persistence and Adherence to Statin Therapy: a Retrospective Cohort Study Using the Australian National Pharmacy Data.

BACKGROUND: Statins are widely prescribed for the primary and secondary prevention of cardiovascular disease (CVD), but their effectiveness is dependent on the level of adherence and persistence. OBJECTIVES: This study aimed to explore the patterns of switching, adherence and persistence among the Australian general population with newly dispensed statins. METHODS: A retrospective cohort study was conducted using a random sample of data from the Australian national prescription claims data. Switching, adherence to and persistence with statins were assessed for people starting statins from 1 January 2015 to 31 December 2019. Switching was defined as either switching to another intensity of statin, to another statin or to a non-statin agent. Non-persistence to treatment was defined as discontinuation (i.e. ≥90 days with no statin) of coverage. Adherence was measured using proportion of days covered (PDC), and patients with PDC < 0.80 were considered non-adherent. Cox proportional hazard models were used to compare discontinuation, switching and reinitiation between different statins. RESULTS: A cohort of 141,062 people dispensed statins and followed over a median duration of 2.5 years were included. Of the cohort, 29.3% switched statin intensity, 28.4% switched statin type, 3.7% switched to ezetimibe and in 2.7%, ezetimibe was added as combination therapy during the study period. Overall, 58.8% discontinued statins based on the 90-day gap criteria, of whom 55.2% restarted. The proportion of people non-adherent was 24.0% at 6 months to 49.0% at 5 years. People on low and moderate intensity statins were more likely to discontinue compared to those on high-intensity statins (hazard ratio [HR] 1.20, 95% confidence interval [CI] 1.09-1.31), (HR 1.28, 95%CI 1.14-1.42), respectively. Compared to maintaining same statin type and intensity, switching statins, which includes up-titration (HR 0.77, 95%CI 0.70 to 0.86) was associated with less likelihood of discontinuation after reinitiation. CONCLUSIONS: Long-term persistence and adherence to statins remains generally poor among Australians, which limits the effectiveness of these medicines and the consequent health impact they may provide for individuals (and by extension, the population impact when poor persistence and adherence is considered in the statin-taking population). Switching between statins is prevalent in one third of statin users, although any clinical benefit of the observed switching trend is unknown. This, combined with the high volume of statin prescriptions, highlights the need for better strategies to address poor persistence and adherence.

Trends in television viewing and overweight /obesity among Nepalese women: Findings from 2006, 2011 and 2016 Nepal Demographic and Health Surveys.

BACKGROUND AND AIMS: Associations between overweight/obesity and television (TV) viewing have been identified in high-income countries, but little evidence is available from low- and middle-income countries. This study examined the trends and correlates of television viewing and overweight/obesity among Nepalese women between 2006 and 2016. METHODS AND RESULTS: We analysed the data from 22,161 women aged 15-49 years who took part in Nepal Demographic Health Surveys 2006 (n = 10,115), 2011 (n = 5,881) or 2016 (n = 6,165). Trained staff collected data on TV viewing and sociodemographic attributes from a face-to-face survey while height and weight were measured objectively to determine body mass index. Around 38% of the study participants watched TV at least once a week in 2006, which increased to 49% in 2011 and 46% in 2016. The prevalence of overweight and obesity increased from 8% in 2006 to 14.6% in 2011 and 19.8% in 2016. Compared to those who did not watch TV at all, those watching it at least once a week were at 1.54 (95% CI: 1.02-2.33), 1.79 (95% CI: 1.23-2.60) and 1.46 (95% CI: 1.13-1.88) times higher odds of being overweight/obese in 2006, 2011 and 2016 respectively. CONCLUSION: The prevalence of TV viewing rose among women in Nepal between 2006 and 2016 and was associated with overweight/obesity, which also increased dramatically over this period. Future studies examining the use of multiple screen devices, daily usage duration and content viewed are recommended to understand better the health impacts of transitions to more sedentary living in Nepal and similar settings.

Quality of life and associations with health-related behaviours among older adults with increased cardiovascular risk.

BACKGROUND AND AIMS: A better understanding of the relationship between cardiovascular disease risk factors and quality of life (QoL) in older age is needed to inform development of risk reduction strategies. This cross-sectional study investigated the association of QoL with health-related behaviours in older adults at risk of heart failure. METHODS AND RESULTS: Older adults (N = 328) at risk of heart failure residing in Melbourne, Australia, provided data on QoL and health-related behaviours including physical activity, diet, smoking and alcohol consumption. Multiple linear regression modelling was used to examine associations between health-related behaviours, QoL and its constituent domains. After adjustment for age, gender, body mass index and comorbidities, current smoking was found to have a negative association with the mental component score (MCS) of QoL (ß = -0.174, p ≤ 0.01), with a positive association seen between MCS and physical activity (ß = 0.130, p = 0.01). Current alcohol use had a positive association with the physical component score (PCS) (ß = 0.120, p = 0.02) and saturated fat intake consumption had a negative association with the physical functioning domain of QoL (ß = -0.105, p = 0.03) but was not associated with either PCS or MCS. CONCLUSION: Engagement of older adults at increased cardiovascular risk with behavioural risk factor modification using QoL as a driver of change may offer new opportunities to promote healthy ageing. Development of such strategies should consider that for some behaviours which are cardiovascular risk factors (alcohol intake, in particular), the positive association to QoL is complicated and needs further deliberation.

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.

Lifetime impact of being underweight or overweight/obese during childhood in Vietnam.

BACKGROUND: There is limited evidence about lifetime burden of child malnutrition. This study aimed to estimate the lifetime impact of being underweight or overweight/obese during childhood in Vietnam. METHODS: We developed a life table model in combination with a Markov model for Vietnamese children aged 5-19 years and simulated until they reached 75 years of age or died using published data. The starting year was 2019 and the model estimated number of deaths, years of life lived and quality-adjusted life years (QALY) with an annual discount rate of 3%. We performed scenario, one-way, and probabilistic sensitivity analyses to assess the impact of uncertainties in input parameters. RESULTS: The model estimated 9.68 million deaths (6.44 million men and 3.24 million women), 622 million years of life lived (317 million men and 305 million women), and 601 million QALYs (308 million men and 293 million women). Scenario analyses showed that the reduction in either underweight or overweight/obesity alone, and reduction in both underweight and overweight/obesity resulted in fewer deaths, more years of life lived and more QALYs gained. In the scenario where everyone was a healthy weight, the model estimated 577,267 fewer deaths (6.0% less), 2 million more years of life lived (0.3% more), and 3 million QALYs gained (0.6% more) over base-case results which represents current situation in Vietnam. CONCLUSIONS: Our results suggest that addressing underweight and overweight/obesity will contribute to reducing deaths and increasing years of life lived and QALYs. Policies and interventions in alignment with Sustainable Development Goals to address underweight and overweight/obesity are necessary to achieve health for all.

The Preventable Productivity Burden of Kidney Disease in Australia.

BACKGROUND: Kidney disease is associated with impaired work productivity. However, the collective effect of missed work days, reduced output at work, and early withdrawal from the workforce is rarely considered in health-economic evaluations. METHODS: To determine the effect on work productivity of preventing incident cases of kidney disease, using the novel measure "productivity-adjusted life year" (PALY), we constructed a dynamic life table model for the Australian working-age population (aged 15-69 years) over 10 years (2020-2029), stratified by kidney-disease status. Input data, including productivity estimates, were sourced from the literature. We ascribed a financial value to the PALY metric in terms of gross domestic product (GDP) per equivalent full-time worker and assessed the total number of years lived, total PALYs, and broader economic costs (GDP per PALY). We repeated the model simulation, assuming a reduced kidney-disease incidence; the differences reflected the effects of preventing new kidney-disease cases. Outcomes were discounted by 5% annually. RESULTS: Our projections indicate that, from 2020 to 2029, the estimated number of new kidney-disease cases will exceed 161,000. Preventing 10% of new cases of kidney disease during this period would result in >300 premature deaths averted and approximately 550 years of life and 7600 PALYs saved-equivalent to a savings of US$1.1 billion in GDP or US$67,000 per new case avoided. CONCLUSIONS: Pursuing a relatively modest target for preventing kidney disease in Australia may prolong years of life lived and increase productive life years, resulting in substantial economic benefit. Our findings highlight the need for investment in preventive measures to reduce future cases of kidney disease.

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.

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.

Kidney age - chronological age difference (KCD) score provides an age-adapted measure of kidney function.

BACKGROUND: Given the age-related decline in glomerular filtration rate (GFR) in healthy individuals, we examined the association of all-cause death or cardiovascular event with the Kidney age - Chronological age Difference (KCD) score, whereby an individual's kidney age is estimated from their estimated GFR (eGFR) and the age-dependent eGFR decline reported for healthy living potential kidney donors. METHODS: We examined the association between death or cardiovascular event and KCD score, age-dependent stepped eGFR criteria (eGFRstep), and eGFR < 60 ml/min/1.73 m2 (eGFR60) in a community-based high cardiovascular risk cohort of 3837 individuals aged ≥60 (median 70, interquartile range 65, 75) years, followed for a median of 5.6 years. RESULTS: In proportional hazards analysis, KCD score ≥ 20 years (KCD20) was associated with increased risk of death or cardiovascular event in unadjusted analysis and after adjustment for age, sex and cardiovascular risk factors. Addition of KCD20, eGFRstep or eGFR60 to a cardiovascular risk factor model did not improve area under the curve for identification of individuals who experienced death or cardiovascular event in receiver operating characteristic curve analysis. However, addition of KCD20 or eGFR60, but not eGFRstep, to a cardiovascular risk factor model improved net reclassification and integrated discrimination. KCD20 identified individuals who experienced death or cardiovascular event with greater sensitivity than eGFRstep for all participants, and with greater sensitivity than eGFR60 for participants aged 60-69 years, with similar sensitivities for men and women. CONCLUSIONS: In this high cardiovascular risk cohort aged ≥60 years, the KCD score provided an age-adapted measure of kidney function that may assist patient education, and KCD20 provided an age-adapted criterion of eGFR-related increased risk of death or cardiovascular event. Further studies that include the full age spectrum are required to examine the optimal KCD score cut point that identifies increased risk of death or cardiovascular event, and kidney events, associated with impaired kidney function, and whether the optimal KCD score cut point is similar for men and women. TRIAL REGISTRATION: ClinicalTrials.gov NCT00400257 , NCT00604006 , and NCT01581827 .

Socio-ecological influences of leisure-time physical activity among Nepalese adults: a qualitative study.

BACKGROUND: With economic and social changes, participation in occupational and transport-related physical activity is declining among Nepalese adults, highlighting the growing importance of leisure-time physical activity. However, limited information is available to guide public health policies and interventions to promote leisure-time physical activity in Nepal. This study aimed to qualitatively explore the socioecological influences of participation in leisure-time physical activity among Nepalese adults aged 40 years and above. METHODS: A total of 51 adults (30 females and 21 males) participated in one of the nine focus groups conducted in Kathmandu, Nepal. A semi-structured guide based on the social-ecological model of physical activity was used to facilitate these focus groups. Data were analysed using a reflexive thematic analysis approach in NVivo 12. RESULTS: Participation in leisure-time physical activity was minimal and leisure time was mostly spent resting, socialising, or engaging in sedentary activities such as watching television. Walking was the most common form of leisure-time physical activity, and men reported being more active than women. Individual-level barriers included lack of knowledge, lack of skill, lack of motivation, considering oneself as sufficiently active and engagement in sedentary screen activities. Family and household responsibilities, lack of support and fear of being judged constituted the interpersonal barriers while environmental barriers included an absence of a supportive social norm, lack of open spaces, weather conditions and perceived lack of safety. Health benefits, prioritising physical activity, social support, provision of group-based activities and age-appropriate public exercise facilities were identified as major facilitators. CONCLUSION: Critical issues that need to be addressed to increase leisure-time physical activity among Nepalese adults include traditional gender roles, family and social support, and social norms. Modifications of the built environment, such as public exercise facilities, offer further opportunities and will require coordination beyond the health sector.

Exploration of Physical Activity Barriers and Facilitators Among Adults in Kathmandu, Nepal.

Previous research suggests that a range of factors influence an individual's physical activity (PA) participation, but studies among Nepalese adults are limited. In this qualitative study, we aimed to explore the multilevel influences upon PA participation among community-dwelling adults aged 40 years and above living in an urban setting in Kathmandu, Nepal. Men (n = 21) and women (n = 30) were purposively sampled to participate in one of nine focus group discussions. Types of PA undertaken constituted activities related to housework, farm work, and active travel. Individual-level barriers included lack of knowledge, lack of motivation, perceptions of already being active, personal limitations, and lack of time. Interpersonal barriers included household responsibilities and lack of support. Broader environmental barriers included lack of infrastructure for active commuting, poor safety, rising use of motorized transport, lack of resting areas, weak social norms about PA, declining agricultural engagement, mechanization, and improved access to technology and facilities. Some differences were observed between the gender and disease groups. Health benefits, integration into domestic work, opportunities for social interaction, and social support were the facilitators. Interventions focusing on families, highlighting the short- and long-term benefits of PA, addressing gender roles, and ensuring women are better supported represent opportunities to promote PA. Community-based interventions will be essential to establish social norms around PA and improve social support.

Evaluation of the Pain Impact Index for Community-Dwelling Older Adults Through the Application of Rasch Modelling.

OBJECTIVE: Evaluate the Pain Impact Index, a simple, brief, easy-to-use, and novel tool to assess the impact of chronic pain in community-dwelling older adults. METHODS: A Rasch modelling analysis was undertaken in Stata using a partial credit model suited to the Likert-type items that comprised the Index. The Index was evaluated for ordering of category thresholds, unidimensionality, overall fit to the Rasch model, measurement bias (Differential Item Functioning, DIF), targeting, and construct validity. RESULTS: The four-item Pain Impact Index was self-completed by 6454 community-dwelling Australians who were aged at least 70 years and experienced pain on most days. Two items showed evidence of threshold disordering, and this was resolved by collapsing response categories (from 5 to 3) for all items. The rescored Index conformed to the unidimensionality assumption and had satisfactory fit with the Rasch model (analyses conducted on a reduced sample size to mitigate the potential for overpowering: n = 377, P > 0.0125, power > 77%). When considering uniform DIF, the most frequent sources of measurement bias were age, knee pain, and upper back pain. When considering nonuniform DIF, the most frequent source of measurement bias was knee pain. The Index had good ability to differentiate between respondents with different levels of pain impact and had highest measurement precision for respondents located around the average level of pain impact in the study sample. Both convergent and discriminant validity of the Index were supported. CONCLUSION: The Pain Impact Index showed evidence of unidimensionality, was able to successfully differentiate between levels of pain impact, and had good evidence of construct validity.

The Health and Productivity Burden of Migraines in Australia.

OBJECTIVE: This study aimed to quantify the health and productivity burden of migraines in Australia, measured by quality-adjusted life years (QALYs), productivity-adjusted life years (PALYs, a novel measure of productivity), and associated health-care and broader economic costs. METHODS: A Markov state-transition model was constructed to simulate follow-up of Australians aged 20-64 years over the next 10 years. The model was first run using current prevalence estimates of migraine. It was then rerun assuming that people with migraine hypothetically did not have the condition. Differences in outcomes between the 2 model simulations represented the health and productivity burden attributable to migraine. All data inputs were obtained from published sources. Gross domestic product (GDP) per equivalent full-time worker in Australia was used to reflect the cost of each PALY (AU$177,092). Future costs and outcomes were discounted by 5% annually. RESULTS: Currently, 1,274,319 million (8.5%) Australians aged 20-64 years have migraine. Over the next 10 years, migraine was predicted to lead to a loss of 2,577,783 (95% confidence interval [CI] 2,054,980 to 3,000,784) QALYs among this cohort (2.02 per person and 2.43% of total QALYs), and AU$1.67 (95% CI $1.16 to $2.37) billion in health-care costs (AU$1313 per person, 95% CI $914 to $1862). There would also be 384,740 (95% CI 299,102 to 479,803) PALYs lost (0.30 per person and 0.53% of total PALYs), resulting in AU$68.13 (95% CI $44.42 to $98.25) billion of lost GDP (AU$53,467 per person, 95% CI $34,855 to $77,102). CONCLUSION: Migraines impose a substantial health and economic burden on Australians of working age. Funding interventions that reduce the prevalence of migraines and/or its effects are likely to provide sound return on investment.

The contribution of physical inactivity and socioeconomic factors to type 2 diabetes in Nepal: A structural equation modelling analysis.

BACKGROUND AND AIM: Type 2 diabetes mellitus (T2DM) is emerging as a significant public health challenge in Nepal. Behavioural, social and economic changes are likely to play a part in the rise of this chronic disease, as they are in many developing countries. A better understanding of the relationship between physical activity (PA), socioeconomic factors and T2DM can inform the design of prevention programs. This study aimed to identify the path relationships between PA, socioeconomic position, anthropometric and metabolic variables and T2DM. METHODS AND RESULTS: This study analysed data from 1977 Nepalese adults aged 40-69 years from the cross-sectional WHO STEPS survey undertaken in 2013. The latent variable "PA" was created using the information on domains of PA while the latent variable "socioeconomic position" was created using the variables education, occupation and ethnicity. Participants' fasting blood glucose was used to determine their diabetes status. Structural equation modelling was conducted, and correlations and adjusted regression coefficients are reported. Individuals with higher education, in paid employment and from advantaged ethnic groups were more likely to have T2DM. Waist circumference, triglycerides and hypertension were found to have a statistically significant positive direct effect on T2DM. PA had indirect effects on T2DM, mediated by waist circumference. The indirect effects of socioeconomic position on T2DM were mediated by body mass index, waist circumference, triglycerides and total cholesterol. CONCLUSION: Among Nepalese adults, higher socioeconomic position had a significant direct effect on T2DM, while both PA and higher socioeconomic position had significant indirect effects. Policies and programs to address T2DM in Nepal should address the factors contributing to unhealthy weight status, particularly among those of higher socioeconomic status.