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Importance: Nearly 40% of US youth aged 2 to 19 years do not have a body mass index (BMI) in the healthy weight category. However, there are no recent estimates for BMI-associated expenditures using clinical or claims data.
Objective: To estimate medical expenditures among US youth across all BMI categories along with sex and age groups.
Design, Setting, Participants: This cross-sectional study used IQVIA's ambulatory electronic medical records (AEMR) data set linked with IQVIA's PharMetrics Plus Claims database from January 2018 through December 2018. Analysis was performed from March 25, 2022, through June 20, 2022. It included a convenience sample of a geographically diverse patient population from AEMR and PharMetrics Plus. The study sample included privately insured individuals with a BMI measurement in 2018 and excluded patients with pregnancy-related visits.
Exposure: BMI categories.
Main Outcomes And Measures: Total medical expenditures were estimated using generalized linear model regression with γ distribution and log-link function. For out-of-pocket (OOP) expenditures, a 2-part model was used that included logistic regression to estimate the probability of positive expenditures followed by generalized linear model. Estimates were shown with and without accounting for sex, race and ethnicity, payer type, geographic region, age interacted with sex and BMI categories, and confounding conditions.
Results: The sample included 205 876 individuals aged 2 to 19 years; 104 066 were male (50.5%) and the median age was 12 years. Compared with those with healthy weight, total and OOP expenditures were higher for all other BMI categories. Differences in total expenditures were highest for those with severe obesity ($909; 95% CI, $600-$1218) followed by underweight ($671; 95% CI, $286-$1055) compared with healthy weight. Differences in OOP expenditures were highest for those with severe obesity ($121; 95% CI, $86-$155) followed by underweight ($117; 95% CI, $78-$157) compared with healthy weight. Having underweight was associated with higher total expenditures at ages 2 to 5 years and 6 to 11 years by $679 (95% CI, $228-$1129) and $1166 (95% CI, $632-$1700), respectively; having severe obesity was associated with higher total expenditures at ages 2 to 5 years, 6 to 11 years, and 12 to 17 years by $1035 (95% CI, $208-$1863), $821 (95% CI, $414-$1227), and $1088 (95% CI, $594-$1582), respectively.
Conclusions And Relevance: The study team found medical expenditures to be higher for all BMI categories when compared with those with healthy weight. These findings may indicate potential economic value of interventions or treatments aimed at reducing BMI-associated health risks.
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http://dx.doi.org/10.1001/jamapediatrics.2023.2012 | DOI Listing |
Foot Ankle Int
September 2025
Department of Radiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo, Japan.
Background: Coronal wedge insoles are commonly prescribed to mitigate musculoskeletal disorders, yet their static-standing kinematic and kinetic effects on lower extremity joints remain insufficiently understood.
Methods: This cross-sectional experimental study included 15 healthy older adults (mean 64.9 ± 6.
Compr Physiol
October 2025
School of Pharmacy and Medical Sciences, Griffith University, Southport, Queensland, Australia.
Mechanisms underlying cardiovascular, affective, and metabolic (CAM) multimorbidity are incompletely defined. We assessed how two risk factors-chronic stress (CS) and a Western diet (WD)-interact to influence cardiovascular function, resilience, adaptability, and allostatic load (AL); explore pathway involvement; and examine relationships with behavioral, metabolic, and systemic AL. Male C57Bl/6 mice (8 weeks old, n = 64) consumed a control (CD) or WD (12%-65%-23% or 32%-57%-11% calories from fat-carbohydrate-protein) for 17 weeks, with half subjected to 2 h daily restraint stress over the final 2 weeks (CD + CS and WD + CS).
View Article and Find Full Text PDFInt J Food Sci Nutr
September 2025
Department of BSc (Hons) Dietetics, Metropolitan College, Athens, Greece.
The present study explored associations between the five personality traits (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness) and dietary patterns of apparently healthy individuals. Demographic, anthropometric, dietary, and personality data were obtained from 480 adults, up to 45 years of age, through self-completed questionnaires. Dietary habits were assessed a validated for the population Food Frequency Questionnaire (FFQ), whereas personality was evaluated with the validated Greek version of the 50-item International Personality Item Pool (IPIP).
View Article and Find Full Text PDFAnn Hematol
September 2025
Centre on Aging and Mobility, University of Zurich, Zurich, Switzerland.
While frailty and anemia are prevalent conditions in aging linked to adverse outcomes, their relationship remains understudied in generally healthy older adults. We conducted a post-hoc observational study among all participants of DO-HEALTH, the largest European clinical trial designed to support healthy aging. Our analysis examined whether baseline hemoglobin levels and anemia are associated with being at least pre-frail at baseline and any yearly follow-up time point over three years.
View Article and Find Full Text PDFClin Oral Investig
September 2025
Department of Periodontics, Saveetha Dental College, Saveetha Institute of Medical and Technology Sciences, SIMATS, Saveetha University, Chennai, Tamil Nadu, India.
Objectives: This study aims to assess periodontal and biochemical parameters and evaluate the salivary Protectin D1 levels in periodontitis patients with and without metabolic syndrome after non-surgical periodontal therapy.
Materials And Methods: Forty patients were categorized into two groups: 20 patients in Group P (systemically healthy patients with stage II/III grade B periodontitis) and 20 patients in Group P+MS (patients with stage II/III grade B periodontitis and metabolic syndrome). Parameters including age, gender, height, weight, body mass index, waist circumference, socio-economic status, oral hygiene index (OHI), modified gingival index (MGI), probing pocket depth, clinical attachment levels, fasting blood glucose, HDL-c, total triglycerides, and blood pressure were recorded.