Physical activity, Body Mass Index and health care costs in mid-age Australian women

The association between obesity, health service use, and work productivity in Australia: a cross-sectional quantile regression analysis

The burden of disease attributable to obesity is rapidly increasing and becoming a public health challenge globally. Using a nationally representative sample in Australia, this study aims to examine the association of obesity with healthcare service use and work productivity across outcome distributions. We used Household, Income and Labour Dynamics Australia (HILDA) Wave 17 (2017-2018), including 11,211 participants aged between 20 and 65 years. Two-part models using multivariable logistic regressions and quantile regressions were employed to understand variations in the association between obesity levels and the outcomes. The prevalence of overweight and obesity was 35.0% and 27.6%, respectively. After adjusting for socio-demographic factors, low socioeconomic status was associated with a higher probability of overweight and obesity (Obese III: OR = 3.79; 95% CI 2.53-5.68) while high education group was associated with a lower likelihood of being high level of obesity (Obese III OR = 0.42, 95% CI 0.29-0.59). Higher levels of obesity were associated with higher probability of health service use (GP visit Obese, III: OR = 1.42 95% CI 1.04-1.93,) and work productivity loss (number of paid sick leave days, Obese III: OR = 2.40 95% CI 1.94-2.96), compared with normal weight. The impacts of obesity on health service use and work productivity were larger for those with higher percentiles compared to lower percentiles. Overweight and obesity are associated with greater healthcare utilisation, and loss in work productivity in Australia. Australia's healthcare system should prioritise interventions to prevent overweight and obesity to reduce the cost on individuals and improve labour market outcomes.

The association between health costs and physical inactivity; analysis from the Physical Activity at Work study in Thailand

Introduction

Physical inactivity increases the risks of several common yet serious non-communicable diseases, costing a tremendous amount of health expenditure globally. This study aimed to estimate the association between health costs and physical inactivity in Thailand.

Methods

Data from the Physical Activity at Work cluster randomized controlled trial participants with valid objective physical activity data were extracted. Health costs were collected using the Health and Welfare Survey and the Work Productivity and Activity Impairment Questionnaire and were categorized into past-month outpatient illness, past-year inpatient illness, and past-week presenteeism and absenteeism. Time spent in moderate-to-vigorous physical activity was used to determine the activity level according to the current guideline (i.e., ≥150 minutes moderate-intensity or ≥75 minutes vigorous-intensity equivalent physical activity per week). The primary analysis evaluated the association between direct cost (treatment and travel costs) and societal cost (direct cost plus absenteeism due to the illness) of past-month outpatient illness and physical inactivity using a two-part model.

Results

In total, 277 participants with a mean age of 38.7 were included. Average direct and societal cost due to past-month outpatient illness were 146 THB (3.99 USD) (SD = 647 THB) and 457 THB (12.5 USD) (SD = 1390 THB), respectively. Compared to active participants, direct and societal cost of past-month outpatient illness were 153 THB (4.18 USD) (95%CI: -54.7 to 360 THB) and 426 THB (11.7 USD) (95%CI: 23.3 to 829 THB) higher in physically inactive individuals, respectively, adjusted for covariates. The additional societal cost of past-month outpatient illness was 145% higher in physically inactive participants compared to active participants. On the other hand, there was no significant association in direct and societal cost of past-year inpatient illness nor past-week indirect costs between physically active and non-active participants.

Discussion

Results were similar to recent findings in different countries. However, the findings should be generalized with caution due to the small sample size and potential bias from reverse causation. Future research is crucial for clarifying the health costs of physical inactivity in Thailand and other countries.

Physical activity and health-related quality of life among high-risk women for type 2 diabetes in the early years after pregnancy

Background

Previous studies have shown that physical activity (PA) correlates positively with health-related quality of life (HRQoL) in the general population. Few studies have investigated associations between device-measured PA and HRQoL among premenopausal women at risk for type 2 diabetes (T2D). In addition to physical well-being, general well-being improved by PA has been suggested to strengthen PA’s benefits in reducing metabolic diseases. The aim of this study was to examine the associations between PA and HRQoL (general and dimensions) among high-risk women in the early post-pregnancy years when T2D risk is highest and to estimate whether current obesity or prior gestational diabetes (GDM) modified these associations.

Methods

This cross-sectional study of high-risk women [body mass index (BMI) ≥ 30 kg/m² and/or prior GDM)]4–6 years after delivery measured sleep, sedentary time, daily steps, and light (LPA), moderate-to-vigorous (MVPA), and vigorous PA (VPA) with the SenseWear ArmbandTM accelerometer for seven days and HRQoL with the 15D instrument.

Results

The analyses included 204 women with a median (IQR) age of 39 (6.0) years and a median BMI of 31.1 kg/m² (10.9). 54% were currently obese (BMI ≥ 30 kg/m²), and 70% had prior gestational diabetes (GDM+). Women with obesity had lower PA levels than women with normal weight or overweight (p < 0.001) but there was no difference between the GDM+ or GDM− women. Women with both current obesity and GDM+ had highest sedentary time and lowest PA levels. The whole sample’s median 15D score was 0.934 (IQR 0.092), lower among women with obesity compared to the others (p < 0.001), but not different between GDM+ or GDM−. There was a positive correlation between VPA (adjusted r_s = 0.262 p = 0.001) and the 15D score. After grouping according to BMI (< and ≥ 30 kg/m²), the associations remained significant only in women without obesity. Among them, sleep, total steps, MVPA, and VPA were positively associated with 15D.

Conclusions

Higher PA levels are associated with better HRQoL among high-risk women with normal weight and overweight but no differences were found among women affected by obesity in the early years after pregnancy.

Trial registration Ethics committees of Helsinki University Hospital (Dnro 300/e9/06) and South Karelian Central Hospital (Dnro 06/08).

Out-Of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight, and Obesity in China: Quantile Regression Approach

INTRODUCTION

Previous studies exploring associations of physical inactivity, obesity, and out-of-pocket expenditure (OOPE) mainly used traditional linear regression, and little is known about the effect of both physical inactivity and obesity on OOPE across the percentile distribution. This study aims to assess the effects of physical inactivity and obesity on OOPE in China using a quantile regression approach.

METHODS

Study participants included 10,687 respondents aged 45 years and older from the recent wave of the China Health and Retirement Longitudinal Study in 2015. Linear regression and quantile regression models were used to examine the association of physical activity, body weight with annual OOPE.

RESULTS

Overall, the proportion of overweight and obesity was 33.2% and 5.8%, respectively. The proportion of individuals performing high-level, moderate-level, and low-level physical activity was 55.2%, 12.7%, and 32.1%, respectively. The effects of low-level physical activity on annual OOPE were small at the bottom quantiles but more pronounced at higher quantiles. Respondents with low-level activity had an increased annual OOPE of 26.9 USD, 150.3 USD, and 1,534.4 USD, at the 10th, 50th, and 90th percentiles, respectively, compared with those with high-level activity. The effects of overweight and obesity on OOPE were also small at the bottom quantiles but more pronounced at higher quantiles.

CONCLUSION

Interventions that improve the lifestyles and unhealthy behaviors among people with obesity and physical inactivity are likely to yield substantial financial gains for the individual and health systems in China.

Twelve year trajectories of physical activity and health costs in mid-age Australian women

Background

Few studies have examined relationships between physical activity (PA) during mid-age and health costs in women. The aim of this study was to investigate associations between PA levels and trajectories over 12 years with medical and pharmaceutical costs in mid-age Australian women.

Methods

Data from 6953 participants in the Australian Longitudinal Study on Women’s Health (born in 1946–1951) were analysed in 2019. PA was self-reported in 2001 (50-55y), 2007 (56-61y) and 2013 (62-67y). PA data were linked with 2013–2015 data from the Medicare (MBS) and Pharmaceutical (PBS) Benefits Schemes. Quantile regression was used to examine associations between PA patterns [always active, increasers, decreasers, fluctuaters or always inactive (reference)] with these medical and pharmaceutical costs.

Results

Among women who were consistently inactive (< 500 MET.minutes/week) in 2001, 2007 and 2013, median MBS and PBS costs (2013 to 2015) were AUD4261 and AUD1850, respectively. Those costs were AUD1728 (95%CI: 443–3013) and AUD578 (95%CI: 426–729) lower among women who were consistently active in 2001, 2007 and 2013 than among those who were always inactive. PBS costs were also lower in women who were active at only one survey (AUD205; 95%CI: 49–360), and in those whose PA increased between 2001 and 2013 (AUD388; 95%CI: 232–545).

Conclusion

Maintaining ‘active’ PA status was associated with 40% lower MBS and 30% lower PBS costs over three years in Australian women. Helping women to remain active in mid-life could result in considerable savings for both women and the Australian government.

Do Monetary Incentives Increase Fitness Center Utilization? It Depends

PURPOSE

To examine the effects of an employer-based monetary incentive program on membership termination and usage at a fitness center.

DESIGN

Retrospective nested case-control study examining the relationship between participation in an incentive program, visits to the fitness center, and membership termination at 1 year.

SETTING

University-based fitness center.

PARTICIPANTS

Members (N = 1122) of a university-based fitness center.

INTERVENTION

Members were offered either a US$25 incentive for each month they visited the fitness center at least 10 times or no incentive.

MEASURES

Data were extracted from the membership database and included membership termination at 1 year (yes, no), length of membership (days), participation in the incentive program (yes, no), and visits to the fitness center per month.

ANALYSIS

Cox proportional hazards model.

RESULTS

Members in the incentive program visited the fitness center on average more times per month (5.3 vs 4.3; P < .0001) but were significantly more likely to terminate memberships at 1 year compared to members who did not receive the incentive (38% vs 31%; P = .013). After controlling for relevant covariates, members who received the incentive had a 24% greater hazard of terminating their memberships compared to members who did not receive the incentive (hazard ratio [HR] = 1.24; P = .041). After controlling for the number of visits per month, the incentive program was no longer significantly related to membership termination (HR = 1.21; P = .07).

CONCLUSION

Being in a monetary incentive program to attend a fitness center may be initially associated with a greater fitness center utilization but may not be associated with a reduced risk of membership termination.

Role of Inactivity in Chronic Diseases: Evolutionary Insight and Pathophysiological Mechanisms

This review proposes that physical inactivity could be considered a behavior selected by evolution for resting, and also selected to be reinforcing in life-threatening situations in which exercise would be dangerous. Underlying the notion are human twin studies and animal selective breeding studies, both of which provide indirect evidence for the existence of genes for physical inactivity. Approximately 86% of the 325 million in the United States (U.S.) population achieve less than the U.S. Government and World Health Organization guidelines for daily physical activity for health. Although underappreciated, physical inactivity is an actual contributing cause to at least 35 unhealthy conditions, including the majority of the 10 leading causes of death in the U.S. First, we introduce nine physical inactivity-related themes. Next, characteristics and models of physical inactivity are presented. Following next are individual examples of phenotypes, organ systems, and diseases that are impacted by physical inactivity, including behavior, central nervous system, cardiorespiratory fitness, metabolism, adipose tissue, skeletal muscle, bone, immunity, digestion, and cancer. Importantly, physical inactivity, itself, often plays an independent role as a direct cause of speeding the losses of cardiovascular and strength fitness, shortening of healthspan, and lowering of the age for the onset of the first chronic disease, which in turn decreases quality of life, increases health care costs, and accelerates mortality risk.

Objectively Measured Physical Activity and Healthcare Expenditures Related to Arterial Hypertension and Diabetes Mellitus in Older Adults: SABE Study

Research using questionnaires has shown that physical activity level (PAL) is associated with healthcare costs. The purpose of this study was to examine the association between objectively measured PAL and healthcare costs among hypertensive and diabetic noninstitutionalized Brazilian older people. The method consisted of a cross-sectional study forming part of the SABE Study, composed of 377 older people interviewed in 2010. Expenditures were estimated taking into account self-reported medicine prescription, outpatient service, and hospitalizations, with the highest quartile of expenditures considered as a risk category. PAL was estimated using an Actigraph accelerometer. Associations were expressed as odds ratios and 95% confidence intervals, adjusted for covariates. Overall expenditures were higher in the sedentary group. The insufficiently active group presented greater odds for higher total, outpatient, and hospitalization expenditure. It was concluded that healthcare expenditures were lower in more active hypertensive and diabetic older people. The promotion of physical activity could be relevant in the attenuation of the burden of chronic diseases in economic losses.

Body mass index and healthcare costs: a systematic literature review of individual participant data studies

Excess weight is associated with increased total healthcare costs, but it is less well known how the associations between excess weight and costs vary across different types of healthcare service. We reviewed studies using individual participant data to estimate associations between body mass index and healthcare costs, and summarized how annual healthcare costs for overweight (body mass index 25 to <30 kg/m2 ) and obese (≥30 kg/m2 ) individuals compared with those for healthy weight individuals (18.5 to <25 kg/m2 ). EMBASE and MEDLINE were searched from January 1990 to September 2016, and 75 studies were included in the review. Of these, 34 studies presented adequate information to contribute to a quantitative summary of results. Compared with individuals at healthy weight, the median increases in mean total annual healthcare costs were 12% for overweight and 36% for obese individuals. The percentage increases in costs were highest for medications (18% for overweight and 68% for obese), followed by inpatient care (12% and 34%) and ambulatory care (4% and 26%). Percentage increases in costs associated with obesity were higher for women than men. The substantial costs associated with excess weight in different healthcare settings emphasize the need for investment to tackle this major public health problem.

The economic burden of physical inactivity: a systematic review and critical appraisal

OBJECTIVE

To summarise the literature on the economic burden of physical inactivity in populations, with emphases on appraising the methodologies and providing recommendations for future studies.

DESIGN

Systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO registration number CRD42016047705).

DATA SOURCES

Electronic databases for peer-reviewed and grey literature were systematically searched, followed by reference searching and consultation with experts.

ELIGIBILITY CRITERIA

Studies that examined the economic consequences of physical inactivity in a population/population-based sample, with clearly stated methodologies and at least an abstract/summary written in English.

RESULTS

Of the 40 eligible studies, 27 focused on direct healthcare costs only, 13 also estimated indirect costs and one study additionally estimated household costs. For direct costs, 23 studies used a population attributable fraction (PAF) approach with estimated healthcare costs attributable to physical inactivity ranging from 0.3% to 4.6% of national healthcare expenditure; 17 studies used an econometric approach, which tended to yield higher estimates than those using a PAF approach. For indirect costs, 10 studies used a human capital approach, two used a friction cost approach and one used a value of a statistical life approach. Overall, estimates varied substantially, even within the same country, depending on analytical approaches, time frame and other methodological considerations.

CONCLUSION

Estimating the economic burden of physical inactivity is an area of increasing importance that requires further development. There is a marked lack of consistency in methodological approaches and transparency of reporting. Future studies could benefit from cross-disciplinary collaborations involving economists and physical activity experts, taking a societal perspective and following best practices in conducting and reporting analysis, including accounting for potential confounding, reverse causality and comorbidity, applying discounting and sensitivity analysis, and reporting assumptions, limitations and justifications for approaches taken. We have adapted the Consolidated Health Economic Evaluation Reporting Standards checklist as a guide for future estimates of the economic burden of physical inactivity and other risk factors.

Direct health care costs associated with obesity in Chinese population in 2011

AIMS

Overweight and obesity are established major risk factors for type 2 diabetes, and major public health concerns in China. This study aims to assess the economic burden associated with overweight and obesity in the Chinese population ages 45 and older.

METHODS

The Chinese Health and Retirement Longitudinal Study (CHARLS) in 2011 included 13,323 respondents of ages 45 and older living in 450 rural and urban communities across China. Demographic information, height, weight, direct health care costs for outpatient visits, hospitalization, and medications for self-care were extracted from the CHARLS database. Health Care costs were calculated in 2011 Chinese currency. The body mass index (BMI) was used to categorize underweight, normal weight, overweight, and obese populations. Descriptive analyses and a two-part regression model were performed to investigate the association of BMI with health care costs. To account for non-normality of the cost data, we applied a non-parametric bootstrap approach using the percentile method to estimate the 95% confidence intervals (95% CIs).

RESULTS

Overweight and obese groups had significantly higher total direct health care costs (RMB 2246.4, RMB 2050.7, respectively) as compared with the normal-weight group (RMB 1886.0). When controlling for demographic characteristics, overweight and obese adults were 15.0% and 35.9% more likely to incur total health care costs, and obese individuals had 14.2% higher total health care costs compared with the normal-weight group.

CONCLUSIONS

Compared with the normal-weight counterparts, the annual total direct health care costs were significantly higher among obese adults in China.

Incremental impact of body mass status with modifiable unhealthy lifestyle behaviors on pharmaceutical expenditure

BACKGROUND

Overweight/obesity is a growing health risk in Korea. The impact of overweight/obesity on pharmaceutical expenditure can be larger if individuals have multiple risk factors and multiple comorbidities. The current study estimated the combined effects of overweight/obesity and other unhealthy behaviors on pharmaceutical expenditure.

METHODS

An instrumental variable quantile regression model was estimated using Korea Health Panel Study data. The current study extracted data from 3 waves (2009, 2010, and 2011).

RESULTS

The final sample included 7148 person-year observations for adults aged 20 years or older. Overweight/obese individuals had higher pharmaceutical expenditure than their non-obese counterparts only at the upper quantiles of the conditional distribution of pharmaceutical expenditure (by 119% at the 90th quantile and 115% at the 95th). The current study found a stronger association at the upper quantiles among men (152%, 144%, and 150% at the 75th, 90th, and 95th quantiles, respectively) than among women (152%, 150%, and 148% at the 75th, 90th, and 95th quantiles, respectively). The association at the upper quantiles was stronger when combined with moderate to heavy drinking and no regular physical check-up, particularly among males.

CONCLUSION

The current study confirms that the association of overweight/obesity with modifiable unhealthy behaviors on pharmaceutical expenditure is larger than with overweight/obesity alone. Assessing the effect of overweight/obesity with lifestyle risk factors can help target groups for public health intervention programs.

[The costs of physical inactivity in the world: a general review]

There is convincing evidence in the scientific literature of the effectiveness of regular physical activity and physical exercise in the conservation of health and the prevention of various ailments. However, studies into the association between costs of medical services and physical inactivity have not been duly addressed. International studies have quantified these costs and revealed the association between physical activity and/or sedentary behavior. Therefore, this review sought to gather information available from several countries and analyze the global costs associated with physical inactivity over the past few decades. The results of twenty-four original and well-researched articles in nine countries, including Brazil, were analyzed. The results showed that physical inactivity, irrespective of the method of classification, is burdensome to the economy of health worldwide, and directly responsible for the high cost of medication, the incidence of hospitalization and the frequency of medical appointments. The costs of the group of the physically inactive population affected by chronic diseases feature among the major components of the total costs involved in public health.

Economic burden of underweight and overweight among adults in the Asia-Pacific region: a systematic review

OBJECTIVE

To assess the economic burden of underweight and overweight among adults in the Asia-Pacific region.

METHOD

Systematic review of articles published until March 2015.

RESULTS

Seventeen suitable articles were found, of which 13 assess the economic burden of overweight/obesity and estimate that it accounts for 1.5-9.9% of a country's total healthcare expenditure. Four articles on the economic burden of underweight estimate it at 2.5-3.8% of the country's total GDP. Using hospital data, and compared to normal weight individuals, four articles estimated extra healthcare costs for overweight individuals of 7-9.8% and more, and extra healthcare costs for obese individuals of 17-22.3% and higher.

CONCLUSION

Despite methodological diversity across the studies, there is a consensus that both underweight and overweight impose a substantial financial burden on healthcare systems in the Asia-Pacific region.

Cohort Profile Update: Australian Longitudinal Study on Women's Health

In 1996 the Australian Longitudinal Study on Women's Health recruited a nationally representative sample of more than 40,000 women in three age cohorts, born in 1973-78, 1946-51 and 1921-26. At least six waves of 3-yearly surveys have been completed. Although the focus remains on factors affecting the health and well-being of women and their access to and use of health services across urban, rural and remote areas of Australia, the study has now been considerably expanded by linkage to other health data sets. For most women who have ever participated in the study, linked records are now available for: government-subsidized non-hospital services (e.g. all general practitioner visits); pharmaceutical prescriptions filled; national death index, including codes for multiple causes of death; aged care assessments and services; cancer registries; and, for most states and territories, hospital admissions and perinatal data. Additionally, a large cohort of women born in 1989-95 have been recruited. The data are available to approved collaborators, with more than 780 researchers using the data so far. Full details of the study materials and data access procedures are available at [http://www.alswh.org.au/].

The relationship between body mass index and hospitalisation rates, days in hospital and costs: findings from a large prospective linked data study

Background

Internationally there is limited empirical evidence on the impact of overweight and obesity on health service use and costs. We estimate the burden of hospitalisation—admissions, days and costs—associated with above-normal BMI.

Methods

Population-based prospective cohort study involving 224,254 adults aged ≥45y in Australia (45 and Up Study). Baseline questionnaire data (2006-2009) were linked to hospitalisation and death records (median follow-up 3.42y) and hospital cost data. The relationships between BMI and hospital admissions and days were modelled using zero-inflated negative binomial regression; generalised gamma models were used to model costs. Analyses were stratified by sex and age (45-64, 65-79, ≥80y), and adjusted for age, area of residence, education, income, smoking, alcohol-intake and private health insurance status. Population attributable fractions were also calculated.

Results

There were 459,346 admissions (0.55/person-year) and 1,483,523 hospital days (1.76/person-year) during follow-up. For ages 45-64y and 65-79y, rates of admissions, days and costs increased progressively with increments of above-normal BMI. Compared to BMI 22.5-<25kg/m², rates of admissions and days were 1.64-2.54 times higher for BMI 40-50kg/m²; costs were 1.14-1.24 times higher for BMI 27.5-<30kg/m², rising to 1.77-2.15 times for BMI 40-50kg/m². The BMI-hospitalisation relationship was less clear for ≥80y. We estimated that among Australians 45-79y, around 1 in every 8 admissions are attributable to overweight and obesity (2% to overweight, 11% to obesity), as are 1 in every 6 days in hospital (2%, 16%) and 1 in every 6 dollars spent on hospitalisation (3%, 14%).

Conclusions

The dose-response relationship between BMI and hospital use and costs in mid-age and older Australians in the above-normal BMI range suggests even small downward shifts in BMI among these people could result in considerable reductions in their annual health care costs; whether this would result in long-term savings to the health care system is not known from this study.

Inadequate physical activity and health care expenditures in the United States

This study estimates the percentage of health care expenditures in the non-institutionalized United States (U.S.) adult population associated with levels of physical activity inadequate to meet current guidelines. Leisure-time physical activity data from the National Health Interview Survey (2004-2010) were merged with health care expenditure data from the Medical Expenditure Panel Survey (2006-2011). Health care expenditures for inactive (i.e., no physical activity) and insufficiently active adults (i.e., some physical activity but not enough to meet guidelines) were compared with active adults (i.e., ≥150minutes/week moderate-intensity equivalent activity) using an econometric model. Overall, 11.1% (95% CI: 7.3, 14.9) of aggregate health care expenditures were associated with inadequate physical activity (i.e., inactive and insufficiently active levels). When adults with any reported difficulty walking due to a health problem were excluded, 8.7% (95% CI: 5.2, 12.3) of aggregate health care expenditures were associated with inadequate physical activity. Increasing adults' physical activity to meet guidelines may reduce U.S. health care expenditures.

Does vigorous physical activity provide additional benefits beyond those of moderate?

BACKGROUND

Although guidelines suggest that vigorous physical activity (PA) confers "extra" benefits compared with those from moderate-intensity activity alone, the magnitude of this additional benefit is unclear. The aim was to compare the reduction in risk of hypertension (HT) and depressive symptoms (DS) for 12 yr in middle-age women who reported (a) only moderate-intensity PA (MOPA) and (b) a combination of moderate and vigorous PA (MVPA), after controlling for overall volume of activity.

METHODS

The study involved 11,285 participants in the Australian Longitudinal Study on Women's Health, who completed surveys in 1998 (age = 46-52 yr), 2001, 2004, 2007, and 2010. Generalized estimating equation models (with 3-yr time lag) were used to examine the relationship between PA in seven categories from 0 to >2000 MET·min·wk-1 and occurrence of HT and DS for women who reported MOPA or MVPA.

RESULTS

For HT, risk was slightly lower for MVPA than for MOPA across the entire range of PA levels, but this difference was only significant at the highest PA level (>2000; odds ratio [OR] = 0.80 MOPA and 0.56 MVPA). For DS, OR values were similar in both groups up to 500 MET·min·wk-1, then slightly lower for MVPA than for MOPA at higher PA levels. Again, this difference was only significant at the highest PA level (>2000; OR = 0.57 MOPA and 0.42 MVPA). OR values were slightly attenuated in adjusted models.

CONCLUSIONS

Doing both vigorous and moderate activity does not have significant additional benefits in terms of HT and DS, above those from moderate-intensity activity alone, except at very high levels of PA.

Health care costs associated with prolonged sitting and inactivity

BACKGROUND

Physical inactivity and prolonged sitting are associated with negative health outcomes.

PURPOSE

To examine the health-related costs of prolonged sitting and inactivity in middle-aged women.

METHODS

Australian Longitudinal Study on Women's Health participants (born 1946-1951) answered questions about time spent sitting, walking, and in moderate and vigorous leisure activities in 2001 (n=6108); 2004 (n=5902); 2007 (n=5754); and 2010 (n=5535) surveys. Sitting time was categorized as low (0-4); moderate (5-7); and high (≥8 hours/day). Physical activity was categorized as inactive (<40); low (40-600); moderate (600-1200); and high (≥1200 MET-minutes/week). National health insurance claims data averaged over the survey year ±1 year were used to calculate annual costs (Australian dollars [AU$]). Differences between categories in median costs were estimated using quantile regression over four surveys with bootstrapped 95% CIs. Analyses were performed in 2013.

RESULTS

In 2010, annual median costs were AU$689 (interquartile range [IQR]=274, 1541) in highly active participants; AU$741 (IQR=279, 1690) in inactive participants; AU$671 (IQR=273, 1551) in participants with low sitting time; and AU$709 (IQR=283, 1575) in participants with high sitting time. The difference in median costs for inactive and highly active participants was AU$94 (CI=57, 131) after adjustment for confounders. No statistically significant associations were found between sitting time and costs. When sitting and physical activity were combined, high sitting time did not add to the inactivity-associated increased costs. Associations were consistent across normal-weight, overweight, and obese subgroups.

CONCLUSIONS

Physical inactivity, but not prolonged sitting, was associated with higher health-related costs in middle-aged women.

Achieving recommended daily physical activity levels through commuting by public transportation: unpacking individual and contextual influences

This paper estimates the amount of daily walking associated with using public transportation in a large metropolitan area and examines individual and contextual characteristics associated with walking distances. Total walking distance to and from transit was calculated from a travel diary survey for 6913 individuals. Multilevel regression modelling was used to examine the underlying factors associated with walking to public transportation. The physical activity benefits of public transportation varied along gender and socio-economic lines. Recommended minutes of daily physical activity can be achieved for public transportation users, especially train users living in affluent suburbs.

Obesity, lifestyle risk-factors, and health service outcomes among healthy middle-aged adults in Canada

Background

The extent to which uncomplicated obesity among an otherwise healthy middle-aged population is associated with higher longitudinal health-care expenditures remains unclear.

Methods

To examine the incremental long-term health service expenditures and outcomes associated with uncomplicated obesity, 9398 participants of the 1994–1996 National Population Health Survey were linked to administrative data and followed longitudinally forward for 11.5 years to track health service utilization costs and death. Patients with pre-existing heart disease, those who were 65 years of age and older, and those with self-reported body mass indexes of <18.5 kg/m² at inception were excluded. Propensity-matching was used to compare obesity (+/− other baseline risk-factors and lifestyle behaviours) with normal-weight healthy controls. Cost-analyses were conducted from the perspective of Ontario’s publicly-funded health care system.

Results

Obesity as an isolated risk-factor was not associated with significantly higher health-care costs as compared with normal weight matched controls (Canadian $8,294.67 vs. Canadian $7,323.59, P = 0.27). However, obesity in combination with other lifestyle factors was associated with significantly higher cumulative expenditures as compared with normal-weight healthy matched controls (CAD$14,186.81 for those with obesity + 3 additional risk-factors vs. CAD$7,029.87 for those with normal BMI and no other risk-factors, P < 0.001). The likelihood that obese individuals developed future diabetes and hypertension also rose markedly when other lifestyle factors, such as smoking, physical inactivity and/or psychosocial distress were present at baseline.

Conclusions

The incremental health-care costs associated with obesity was modest in isolation, but increased significantly when combined with other lifestyle risk-factors. Such findings have relevance to the selection, prioritization, and cost-effective targeting of therapeutic lifestyle interventions.

Economic effects of interventions to reduce obesity in Israel

BACKGROUND

Obesity is a major risk factor for many diseases. The paper calculates the economic impact and the cost per Quality-Adjusted Life Year (QALY) resulting from the adoption of eight interventions comprising the clinical and part of the community components of the National Prevention and Health Promotion Program (NPHPP) of the Israeli Ministry of Health (MOH) which represents the obesity control implementation arm of the MOH Healthy Israel 2020 Initiative.

METHODS

Health care costs per person were calculated by body mass index (BMI) by applying Israeli cost data to aggregated results from international studies. These were applied to BMI changes from eight intervention programmes in order to calculate reductions in direct treatment costs. Indirect cost savings were also estimated as were additional costs due to increased longevity of program participants. Data on costs and QALYs gained from Israeli and International dietary interventions were combined to provide cost-utility estimates of an intervention program to reduce obesity in Israel over a range of recidivism rates.

RESULTS

On average, persons who were overweight (25 ≤ BMI < 30)had health care costs that were 12.2% above the average health care costs of persons with normal or sub-normal weight to height ratios (BMI < 25). This differential in costs rose to 31.4% and 73.0% for obese and severely obese persons, respectively.For overweight (25 ≤ BMI < 30) and obese persons (30 ≤ BMI < 40), costs per person for the interventions (including the screening overhead) ranged from 35 NIS for a community intervention to 860 NIS, reflecting the intensity of the clinical setting intervention and the unit costs of the professionals carrying out the intervention [e.g., dietician]. Expected average BMI decreases ranged from 0.05 to 0.90. Higher intervention costs and larger BMI decreases characterized the two clinical lifestyle interventions for the severely obese (BMI ≥ 40).A program directed at the entire Israeli population aged 20 and over, using a variety of eight different interventions would cost 2.07 billion NIS overall. In the baseline scenario (with an assumed recidivism rate of 50% per annum), approximately 620,000,000 NIS would be recouped in the form of decreased treatment costs and indirect costs, increased productivity and decreased absenteeism. After discounting the 89,000,000 NIS additional health costs attributable to these extra life years, it is estimated that the total net costs to society would be 1.55 billion NIS. This total net cost was relatively stable to increases in the program's recidivism rates, but highly sensitive to reductions in recidivism rates.Under baseline assumptions, implementation of the cluster of interventions would save 32,671 discounted QALYs at a cost of only 47,559 NIS per QALY, less than half of the Israeli per capita GNP (104,000 NIS). Thus implementation of these components of the NPHPP should be considered very cost-effective.

CONCLUSION

Despite the large costs of such a large national program to control obesity, cost-utility analysis strongly supports its introduction.

The economic burden of obesity worldwide: a systematic review of the direct costs of obesity

In the last decade, the prevalence of obesity has increased significantly in populations worldwide. A less dramatic, but equally important increase has been seen in our knowledge of its effects on health and the burden it places on healthcare systems. This systematic review aims to assess the current published literature on the direct costs associated with obesity. A computerized search of English language articles published between 1990 and June 2009 yielded 32 articles suitable for review. Based on these articles, obesity was estimated to account for between 0.7% and 2.8% of a country's total healthcare expenditures. Furthermore, obese individuals were found to have medical costs that were approximately 30% greater than their normal weight peers. Although variations in inclusion/exclusion criteria, reporting methods and included costs varied widely between the studies, a lack of examination of how and why the excess costs were being accrued appeared to be a commonality between most studies. Accordingly, future studies must better explore how costs accrue among obese populations, in order to best facilitate health and social policy interventions.

Economic evaluation of the direct healthcare cost savings resulting from the use of walking interventions to prevent coronary heart disease in Australia

Coronary heart disease (CHD) is the leading cause of death in Australia. Direct healthcare costs of CHD exceed those of any other disease. The purpose of this study was to evaluate the direct healthcare cost savings resulting from walking interventions to prevent CHD in Australia. A meta-analysis was performed to quantify the efficacy of walking interventions in preventing CHD. The etiologic fraction and other mathematical models were applied to quantify the cost savings resulting from walking interventions to prevent CHD. The net direct healthcare cost savings in CHD prevention resulting from 30 min of normal walking a day for 5-7 days a week by the sufficient walking population were estimated at AU$126.73 million in 2004. The cost savings could increase to $419.90 million if all the inactive adult Australians engaged in 1 h of normal walking a day for 5-7 days a week. Given its low injury risk and high adherence, walking should be advocated as a key population-based primary intervention strategy for CHD prevention and healthcare cost reduction.

Reliability and validity of a modified self-administered version of the Active Australia physical activity survey in a sample of mid-age women

OBJECTIVE

To assess the test-retest reliability and validity of a modified self-administered version of the Active Australia physical activity survey.

METHODS

One hundred and fifty-nine mid-age women (54-59 years) completed a mailed physical activity questionnaire before recording daily pedometer step counts for seven consecutive days. A random subsample (n=44) also wore an accelerometer during this period. Participants then completed the physical activity questionnaire again. Spearman's rho and per cent agreement were used to assess test-retest reliability. Self-reported physical activity data (time 2) were compared with pedometer and accelerometer data using box plots and Spearman's correlations to assess validity.

RESULTS

Median time between surveys was 13 days. Median frequency and duration of moderate and vigorous physical activity were the same at both surveys, but median walking frequency was slightly higher at time 2 than time 1. Reliability coefficients for frequency/time in each domain of physical activity ranged from 0.56-0.64 and per cent agreement scores ranged from 40% to 65% for the physical activity categories; agreement was 76% for 'meeting guidelines'. Correlations (p) between self-reported physical activity and 1) weekly pedometer steps and 2) accelerometer data for duration of at least moderate intensity physical activity were 0.43 and 0.52 respectively.

CONCLUSIONS

The measurement properties of this modified self-administered physical activity survey are similar to those reported for the original computer assisted telephone interview survey.

IMPLICATIONS

This modified version of the Active Australia survey is suitable for use in self-administered format.