This study aimed to investigate the efficacy of a hypothetical biennial weight management regimen in reducing the necessity for knee replacement (KR) surgery among middle-aged and older adults with or at a higher risk for knee osteoarthritis (OA). Data from the Osteoarthritis Initiative cohort in the US, comprising community-dwelling adults aged 45-79 years at high risk for or with symptomatic knee OA who underwent baseline assessments from September 2008 to December 2010 were used. Subsequent evaluations were conducted at 12, 24, and 96 months. A hypothetical biennial weight management regimen, ranging from low to moderate-to-high intensity, was employed as the exposure, whereas the incidence of KR during follow-up was the outcome. This study, using a targeted learning approach to estimate hypothetical weight management regimens adjusted for time-varying confounding and attrition due to loss to follow-up, revealed that a 7.5% reduction in body mass index (high-intensity) resulted in a notable decrease in KR rates, from 5.93% [95% confidence interval (CI), 5.64-6.21] in the baseline maintenance regimen (low-intensity) to 3.60% (95% CI, 2.70-4.50) in the high-intensity regimen. In conclusion, a hypothetical weight management regimen significantly reduces the need for KR surgery in adults with knee OA.

Download full-text PDF

Source
http://dx.doi.org/10.1093/aje/kwae446DOI Listing

Publication Analysis

Top Keywords

weight management
20
management regimen
12
moderate-to-high intensity
8
management regimens
8
hypothetical biennial
8
biennial weight
8
hypothetical weight
8
weight
5
management
5
knee
5

Similar Publications

The transition from secondary school to college or university is a well-known and well-studied risk period for weight and/or fat gain and not meeting the dietary recommendations. Higher education acts as a promising setting to implement nutrition interventions. An important condition for intervention success is that interventions are implemented as intended by the protocol and integrated in the institutional policy.

View Article and Find Full Text PDF

Urban mobility prediction is crucial for optimizing resource allocation, managing transportation systems, and planning urban development. We propose a novel framework, GeoTemporal LSTM (GT-LSTM), designed to address the intricate spatiotemporal dynamics of urban environments. GT-LSTM integrates temporal dependencies with geographic information through a multi-modal approach that combines attention mechanisms and Recurrent Neural Networks (RNNs).

View Article and Find Full Text PDF

Managed honeybees and soil nitrogen availability interactively modulate sunflower production in intensive agricultural landscapes of China.

J Econ Entomol

December 2024

Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, China.

Insects provide important pollination services for cops. While land use intensification has resulted in steep declines of wild pollinator diversity across agricultural landscapes, releasing managed honeybees has been proposed as a countermeasure. However, it remains uncertain whether managed honeybees can close the pollination gap of sunflower (Helianthus annuus L.

View Article and Find Full Text PDF

Background: It is essential to understand factors influencing young adult cardiovascular health (CVH) to reduce morbidity and mortality.

Objective: Evaluate longitudinal changes in CVH among young adults in a weight management intervention.

Methods: Life's Essential 8 (LE8) metrics were calculated for young adults with overweight and obesity enrolled in a randomized controlled trial (n = 459).

View Article and Find Full Text PDF

Ecosystem models are often used to predict the consequences of management interventions in applied ecology and conservation. These models are often high-dimensional and nonlinear, yet limited data are available to calibrate or validate them. Consequently, their utility as decision-support tools is unclear.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!