Long-term obesity and avoidable hospitalization among younger, middle-aged, and older adults

Adverse Events During a 12-month Multi-Site and Dose-Response Aerobic Exercise Intervention

Purpose

This study aimed to assess the incidence of adverse events (AE) in older adults participating in a year-long exercise intervention, investigating potential dose-response relationships between exercise intensity and AE frequency, and identifying demographic factors associated with AE risk.

Methods

A total of 648 older adults were randomized into one of three exercise groups: low-intensity stretching and toning (S&T), 150 minutes of aerobic exercise per week (150Ex), or 225 minutes of aerobic exercise per week (225Ex). Adverse events were tracked during the intervention, with event rates calculated based on participant adherence and time in the study. Generalized linear models were employed to compare AE incidence across groups. Post hoc comparisons were used to calculate incidence rate ratios (IRRs) for AE between groups, adjusting for multiple comparisons.

Results

Overall, 306 AE were reported, with 44% related to the intervention. No significant dose-response relationship was observed for all-cause AE between groups. However, intervention-related AE were more frequent in the aerobic exercise groups. Participants in the 150Ex group had a 77% higher rate of intervention-related AE compared to the S&T group, and the 225Ex group had an 88% higher rate. Higher adherence was associated with fewer all-cause AE, and greater comorbid burden was associated with more AE.

Conclusions

While aerobic exercise increased the risk of intervention-related AE, the overall risk remained low. Higher adherence to the exercise regimen was associated with fewer AE. These findings suggest aerobic exercise is generally safe in older adults, with the benefits outweighing the risks.

Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study

Adults with obesity have a higher risk of hospitalization and high hospitalization-related healthcare costs. However, a predictive model for the risk of readmission in patients with severe obesity is lacking. We conducted a retrospective cohort study enrolling all patients admitted for severe obesity (BMI ≥ 40 kg/m2) between 2009 and 2018 to the Istituto Auxologico Italiano in Piancavallo. For each patient, all subsequent hospitalizations were identified from the regional database by a deterministic record-linkage procedure. A total of 1136 patients were enrolled and followed up for a median of 5.7 years (IQR: 3.1-8.2). The predictive factors associated with hospital readmission were age (HR = 1.02, 95%CI: 1.01-1.03, p < 0.001), BMI (HR = 1.02, 95%CI: 1.01-1.03, p = 0.001), smoking habit (HR = 1.17, 95%CI: 0.99-1.38, p = 0.060), serum creatinine (HR = 1.22, 95%CI: 1.04-1.44, p = 0.016), diabetes (HR = 1.17, 95%CI: 1.00-1.36, p = 0.045), and number of admissions in the previous two years (HR = 1.15, 95%CI: 1.07-1.23, p < 0.001). BMI lost its predictive role when restricting the analysis to readmissions within 90 days. BMI and diabetes lost their predictive roles when further restricting the analysis to readmissions within 30 days. In conclusion, in this study, we identified predictive variables associated with early and long-term hospital readmission in patients with severe obesity. Whether addressing modifiable risk factors could improve the outcome remains to be established.

Impact of obesity on the use of healthcare resources by young adults aged 18-45 years: Results of the 2017 National Health Survey

INTRODUCTION

Excess weight is a public health problem associated with a greater burden of chronic diseases and increased use of health resources.

MATERIAL AND METHODS

A subsample of Spanish adults aged 18-45 from the 2017 Spanish National Health Survey (N=7081) was used. The odds ratios of service utilisation of the group with BMI≥30kg/m² were compared to the normal-weight group, using a model adjusted for sex, age, education, socioeconomic level, perceived health status and the presence of comorbidities.

RESULTS

In all, 12.4% of the sample had obesity. Of these, 24.8% visited their general physician, 37.1% attended emergency services and 6.1% were hospitalised during the last 12 months, which were significantly higher rates than in the normal-weight population (20.3%, 29.2%, 3.8%, respectively). However, 16.1% visited a physiotherapist and 3.1% used alternative therapies, compared to 20.8% and 6.4% in the healthy weight group. After adjusting for confounding factors, people with obesity were more likely to visit emergency services (OR: 1.225 [1.037-1.446]) and less likely to visit a physiotherapist (OR: 0.720 [0.583-0.889]) or use alternative therapies (OR: 0.481 [0.316-0.732]).

CONCLUSIONS

Spanish young adults suffering from obesity are more likely to use some health resources than those of normal weight, even after adjusting for socioeconomic variables and comorbidities, but they are less likely to attend physical therapy. The literature shows that these differences are less marked than in older ages, so this stage of life could be a window of opportunity for prevention to achieve better resource management.

The impact of general and central obesity for all-cause hospitalization among Iranian adults: a 20 year follow-up-results from the TLGS cohort

BACKGROUND

Few studies have examined the effect of obesity indices on total number of hospitalizations. We examined the associations between body mass index (BMI) and waist circumference (WC) and rate of all-cause hospitalizations among Iranian adult participated in the Tehran Lipid and Glucose Study cohort.

METHODS

This study included 8202 individuals (3727 men) aged ≥ 30 years, who were followed for a median of 18 years. Participants were categorized into three groups according to their baseline BMI: normal weight, overweight and obese. In addition, they were classified according to WC in two categories: normal WC and high WC. Negative Binomial regression model was used to estimate the incidence rate ratios (IRRs) and 95% confidence interval (95% CI) of all-cause hospitalizations in relation to obesity indices.

RESULTS

The overall crude rate of all-cause hospitalizations were 77.6 (95% CI, 73.9-81.2) and 76.9 (73.4-80.3) per 1000 person-year in men and women, respectively. The covariate adjusted rate of all-cause hospitalizations was 27% higher in obese men than normal weight men (IRR (95% CI): 1.27 (1.11-1.42)). Among women, overweight and obese individuals had 17% (1.17 (1.03-1.31)) and 40% (1.40 (1.23-1.56)) higher rate of hospitalization compared to normal weight women. Having high WC was associated with 18% (1.18 (1.08-1.29)) and 30% (1.30 (1.18-1.41)) higher rate of all-cause hospitalization in men and women, respectively.

CONCLUSIONS

Obesity and high WC were associated with increased hospitalization rates during long-term follow-up. Our findings suggests that successful obesity prevention programs may decrease the number of hospitalizations, particularly, in women.

Nutrition-Related Information Shared by Latine Influencers: A YouTube Content Analysis

Latines are the fastest growing populace in the United States. Latine is a new, inclusive term for Hispanic and Latino populations regardless of gender identity. When compared with non-Latine counterparts, Latines have higher prevalence rates of obesity, diabetes, chronic liver disease, and kidney disease, which are associated with poor dietary behaviors. More research is warranted into the factors behind Latines' understanding of nutrition and potential sources of health information that influence dietary behaviors. This study describes the nutrition-related health information shared through YouTube by English-speaking Latine individuals between the ages of 18 and 49. For this content analysis, a cross-sectional study design was used. A four-step search strategy identified eligible YouTube channels and their corresponding video blogs (vlogs): discovery, screening, eligibility, and included. NVivo 1.0 was used to qualitatively code the nutrition-related information. A total of 68 vlogs were identified and reviewed. Five main themes emerged from the data (what vloggers discussed): Nutrition Philosophies, Inaccurate Information, Product Promotion, Recommendations based on the 2020-2025 Dietary Guidelines for Americans (DGA), and Recommendations not based on the 2020-2025 DGA. Although some of the nutrition-related information shared followed the 2020-2025 DGA, not all information were in line with these guidelines. Misinformation can undermine the scientific work done by health professionals and can threaten the health and lives of the citizenry by creating barriers for accessing, understanding, and utilizing evidenced-informed guidance in making health decisions. This study revealed that more research is warranted into specific aspects of social media and how they influence health behavior.

Factors Impacting Physician Referral To and Patient Attendance at Weight Management Programs Within a Large Integrated Health System

BACKGROUND

Identifying which patients receive referrals to and which ones attend weight management programs can provide insights into how physicians manage obesity.

OBJECTIVE

To describe patient factors associated with referrals, which primarily reflect physician priorities, and attendance, which reflects patient priorities. We also examine the influence of the individual physician by comparing adjusted rates of referral and attendance across physicians.

DESIGN

Retrospective cohort study.

PARTICIPANTS

Adults with a body mass index (BMI) ≥ 30 kg/m² who had a primary care visit between 2015 and 2018 at a large integrated health system MAIN MEASURES: Referrals and visits to programs were collected from the EHR in 2019 and analyzed in 2019-2020. Multilevel logistic regression models were used to identify the association between patient characteristics and (1) receiving a referral, and (2) attending a visit after a referral. We compared physicians' adjusted probabilities of referring patients and of their patients attending a visit.

KEY RESULTS

Our study included 160,163 adults, with a median BMI of 35 kg/m². Seventeen percent of patients received ≥ 1 referral and 29% of those attended a visit. The adjusted odds of referral increased 57% for patients with a BMI 35-39 (versus 30-34) and 32% for each comorbidity (p < 0.01). Attending a visit was less strongly associated with BMI (aOR 1.18 for 35-39 versus 30-34, 95% CI 1.09-1.27) and not at all with comorbidity. For the physician-level analysis, the adjusted probability of referral had a much wider range (0 to 83%; mean = 19%) than did the adjusted probability of attendance (range 27 to 34%).

CONCLUSIONS

Few patients attended a weight management program. Physicians vary greatly in their probability of referring patients to programs but not in their patients' probability of attending.

Management of Obesity in Adults with CKD

Obesity is a leading public health problem that currently affects over 650 million individuals worldwide. Although interest in the adverse effects of obesity has grown exponentially in recent years, less attention has been given to studying its management in individuals with CKD. This relatively unexplored area should be considered a high priority because of the rapid growth and high prevalence of obesity in the CKD population, its broad impact on health and outcomes, and its modifiable nature. This article begins to lay the groundwork in this field by providing a comprehensive overview that critically evaluates the available evidence related to obesity and kidney disease, identifies important gaps in our knowledge base, and integrates recent insights in the pathophysiology of obesity to help provide a way forward in establishing guidelines as a basis for managing obesity in CKD. Finally, the article includes a kidney-centric algorithm for management of obesity that can be used in clinical practice.

Body mass index and all-cause readmissions following acute heart failure hospitalization

BACKGROUND/OBJECTIVES

Obesity is associated with a lower mortality risk among patients with heart failure (HF). Whether this obesity paradox applies to all-cause hospitalizations is unknown. We aimed to investigate the association between body mass index (BMI) and 30-day all-cause readmissions following HF hospitalization.

SUBJECTS/METHODS

We retrospectively evaluated 2252 HF hospital admissions of Centers of Medicare Services beneficiaries from an academic medical center. We classified obesity using established BMI categories. All 30-day postdischarge readmission to all hospitals and mortality events were documented. We evaluated 30-day postdischarge unplanned, all-cause readmission and death in the total cohort, propensity-matched cohort, and by ejection fraction (EF).

RESULTS

An Overweight-Obese BMI (BMI ≥ 25 kg/m²) was paradoxically associated with a lower mortality rate than a Normal BMI (18.5-24.9 kg/m²) (5.0% vs 8.5%, p = 0.0018). In contrast, an Overweight-Obese BMI was associated with a 29% (95% CI: 1.03-1.63) increased relative risk of all-cause readmission compared with a Normal BMI (23.2% vs 18.9%, p = 0.0288), which was consistent across obesity severity subgroups. Among 966 matched admissions, an Overweight-Obese BMI retained higher readmission risk compared with a Normal BMI (25.1% vs 17.2%, p = 0.003). After matching, readmissions remained higher for Overweight-Obese vs Normal BMI in admissions with reduced EF (25.7% vs 17.8%, p = 0.032) and preserved EF (23.0% vs 15.0%, p = 0.048). No difference in the percentage of readmissions for HF (40%) or noncardiovascular causes (45%) existed between Overweight-Obese and Normal BMI groups.

CONCLUSIONS

Despite a lower mortality risk, increased BMI is associated with increased all-cause hospital readmission rates in an elderly HF population which persists after propensity matching.

Racial and Ethnic Disparities in Preventable Hospitalizations for Chronic Disease: Prevalence and Risk Factors

BACKGROUND

Hospitalizations due to ambulatory care sensitive conditions (ACSCs) result in high morbidity and economic burden on the American healthcare system. Admissions due to chronic ACSCs, in particular, cost the American healthcare system over 30 billion dollars annually.

OBJECTIVES AND METHODS

This paper presents the current research on racial and ethnic disparities in the burden of hospitalizations due to chronic ACSCs. For this narrative review, we evaluated over 800 abstracts from MEDLINE and Google Scholar and cited 62 articles.

RESULTS

Since 1998, racial and ethnic disparities in hospitalizations from chronic ACSCs have increased resulting in over 430,000 excess hospitalizations among non-Hispanic Blacks compared to non-Hispanic Whites.

CONCLUSIONS

Racial disparities in chronic ACSCs hospitalizations are pervasive in the USA. There is need for more research on the pathways through which an individual's race modifies the risk for hospitalizations due to chronic ACSCs.

The Impact of Obesity on Health Care Utilization and Expenditures in a Medicare Supplement Population

Objective: Obesity is a contributor to increased chronic conditions resulting in higher utilization of medical services among broad populations of older adults. The objective of this study was to evaluate the magnitude of the impact of weight on health care use patterns among Medicare Supplement insureds. Method: We estimated the impact of weight as a function of body mass index (BMI) on health care utilization and expenditures using propensity weighted multivariate regression models. The outcomes were controlled initially for demographics and socioeconomics and then additionally for chronic conditions and health status. Results: Among the 9,484 survey respondents, 22.9% were obese. Those categorized as obese were significantly more likely to incur inpatient admissions and orthopedic procedures. Annualized health care expenditures were US$1,496 higher for obese compared with normal weight. The excess utilization and expenditures associated with obesity were explained by chronic conditions and poor health status. Conclusion: Obesity-related expenditures associated with medical management are largely preventable and may benefit from interventions that target lifestyle behaviors and weight management among older adults.

Hospital admissions in relation to body mass index in UK women: a prospective cohort study

BACKGROUND

Adiposity is associated with many adverse health outcomes but little direct evidence exists about its impact on the use of health care services. We aim to describe the relationship between body mass index (BMI) and rates of hospital admission in middle-aged UK women.

METHODS

Among 1,251,619 Million Women Study participants, 50- to 64-years old at entry into the study, routine data on hospital admissions were used to estimate hospitalization rates according to BMI after standardization for age, region of recruitment, socioeconomic status, reproductive history, smoking status, hormonal therapy use and alcohol intake. Proportional hazards models were used to estimate adjusted relative risks of hospitalization separately for 25 common types of admission.

RESULTS

During an average of 9.2 years follow-up, there were 2,834,016 incident hospital admissions. In women with BMIs (in kg/m2) of <22.5, 22.5 to <25, 25 to <30, 30 to <35 and 35+ standardized admission rates (and 95% confidence intervals (CIs)) per woman over a 10-year period were 2.4 (2.4 to 2.4), 2.4 (2.3 to 2.4), 2.6 (2.6 to 2.6), 3.0 (3.0 to 3.0) and 3.5 (3.4 to 3.5), respectively (P-value for heterogeneity <0.001). The relative increase in admission rates per 5 kg/m2 increase in BMI was 1.12 (1.12 to 1.13). This relationship did not vary materially by age. Corresponding average durations of stay (in days) per hospital visit within the same categories of BMI were: 3.1 (3.1 to 3.2), 2.8 (2.7 to 2.8), 2.9 (2.9 to 2.9), 3.2 (3.1 to 3.2) and 3.8 (3.7 to 3.8), respectively (P <0.001).Significant increases in the risk of admission with increasing BMI were observed for 19 of the 25 types of hospital admission considered. BMI was most strongly associated with admissions with diabetes, knee-replacement, gallbladder disease and venous thromboembolism, but marked associations were found with many other common categories of admission including cataracts, carpal tunnel syndrome and diverticulitis.

CONCLUSIONS

Among women 50- to 84-years old in England, around one in eight hospital admissions are likely to be attributable to overweight or obesity, translating to around 420,000 extra hospital admissions and two million extra days spent in hospital, annually.

Overweight, obesity and related conditions: a cross-sectional study of adult inpatients at a Norwegian hospital

Background

Overweight, obesity and associated conditions are major public health concerns in Norway. The prevalence of overweight and obesity in the general population in Norway is increasing, but there are limited data on how the situation is in hospitals. This study aimed to find the prevalence of overweight and obesity, and explore the associations of overweight, obesity and its related medical conditions in an adult in-patient sample at specified somatic and psychiatric departments at St. Olavs Hospital, Trondheim.

Results

A total of 497 patients participated. The mean BMI for the total sample at screening was 25.4 kg/m². The prevalence of overweight and obesity was 45.1%. There was a higher association of overweight and obesity among patients aged 40–59 years (OR: 1.7) compared to those being younger. There was no significant difference between the somatic and the psychiatric samples. In the somatic sample overweight and obesity was associated with obesity-related conditions for both genders (OR: 2.0 and 2.1, respectively), when adjusted for age.

Conclusion

The substantial prevalence of overweight and obese patients may pose a threat to future hospital services. To further address the burden of overweight and obesity in hospitals, we need more knowledge about consequences of length of stay, use of resources and overall cost.

Obesity in older adults: epidemiology and implications for disability and disease

Obesity is a worldwide problem with increasing prevalence and incidence in both developed and developing countries. In older adults, excess weight is associated with a higher prevalence of cardiovascular disease, metabolic disease, several important cancers, and numerous other medical conditions. Obesity has also been associated with increased functional limitations, disability, and poorer quality of life. Additionally, obesity has been independently associated with all-cause mortality. The obesity epidemic has important social and economic implications, representing an important source of increased public health care costs. The aim of this review is to report the epidemiology of obesity worldwide, and the implications of obesity on disability and chronic diseases in older adults.

Impact of overweight and obesity on hospitalization: race and gender differences

OBJECTIVE

To examine associations between weight status and number of all-cause and cause-specific hospitalizations overall, and by race and gender.

DESIGN

Longitudinal cohort study.

SUBJECTS

White and black adults (n=15 355) from the Atherosclerosis Risk in Communities Study who were normal weight (body mass index: >or=18.5 to <25.0 kg m(-2); n=4997), overweight (>or=25.0 to <30.0 kg m(-2); n=6100), or obese (>or=30.0 kg m(-2); n=4258) at baseline.

MEASUREMENTS

Information on hospitalizations was collected using community and cohort surveillance methods. Negative binomial models adjusted for race, gender, field center, age, physical activity, education level, smoking status, alcoholic beverage consumption and health insurance at baseline. Adjusted numbers of hospitalizations were calculated after setting covariates to the mean value (for continuous variables) or to the average distribution (for categorical variables) observed in the entire cohort and are expressed as the number of hospitalizations per 1000 adults followed over a period of 13 years.

RESULTS

The covariate-adjusted average number of all-cause hospitalizations was 1316 per 1000 normal weight, 1543 per 1000 overweight and 2025 per 1000 obese. Normal weight women had significantly fewer hospitalizations than normal weight men (1173 versus 1515 per 1000), but the increase associated with being obese on the number of all-cause hospitalizations was larger in women than men (791 versus 589 per 1000). There was no significant difference detected between the number of hospitalizations in normal weight whites and blacks, and the increase in hospitalizations with overweight or obesity was also not different. Effects of weight status on several primary causes of hospitalization differed by gender and race group.

CONCLUSION

Our work suggests that obesity prevention may reduce hospitalizations, a major component of rising healthcare costs. The impact of successful obesity prevention is likely to be larger in women than in men, and similar in blacks and whites.

Violence from parents in childhood and obesity in adulthood: using food in response to stress as a mediator of risk

Guided by a life course perspective and concepts from models of stress and coping, this study tested the extent to which self-reported profiles of physical and psychological violence in childhood from parents were associated with greater odds of obesity in adulthood. This study also examined the extent to which adults' greater use of food in response to stress served as a mediator of potential associations of risk. Multivariate regression models were estimated using data from 1650 respondents in the 1995-2005 National Survey of Midlife in the U.S. (MIDUS). Results indicated that respondents who reported having experienced both psychological and physical violence from parents-with at least one type of violence having reportedly occurred frequently-were more likely to be classified as obese in contrast to respondents who reported never having experienced either type of violence from parents. Evidence from a sequence of models that tested mediation effects indicated that greater use of food in response to stress among respondents with problematic histories of violence explained, in part, their higher risk of adult obesity. Findings contribute to the growing body of evidence regarding psychosocial predictors of obesity, as well as the physical health consequences of childhood family violence. Results further suggest the importance of addressing particular aspects of life course social relationships-such as violence in childhood from parents-and their implications for psycho-behavioral uses of food within efforts to reduce rates of adult obesity.