Influence of Emotional Factors on the Efficacy of Acupuncture Treatment for Overweight Complicated with Hyperlipidemia: A Retrospective Cohort Study
November 21st, 2025
This protocol details the acupuncture procedures for patients with overweight complicated by hyperlipidemia and certifies the influence of emotional factors on therapeutic efficacy based on metrics including BMI, cholesterol, and triglyceride levels.
My research investigates the effectiveness of acupuncture in treating overweight and obesity, as well as the factors that influence its therapeutic outcomes. To begin, prepare the necessary materials, including disposable sterile acupuncture needles, sterile medical cotton swabs, and iodophor swabs. Position the participants in a supine posture with knees extended and the pelvis aligned in a neutral position.
Expose the required acupoints adequately for the procedure. Select acupoints in accordance with World Health Organization standards. Include bilateral Tianshu, Zusanli, Fenglong, Sanyinjiao, Quchi, along with Zhongwan and Guanyuan.
Disinfect the local skin at the identified acupoints using iodophor swabs before needling. Hold the acupuncture needle handle between the right thumb, index, and middle fingers. Insert the needle perpendicularly at a 90-degree angle into the acupoint to a depth of 25 millimeters.
Manipulate the needle by rotating it 180 degrees clockwise and counterclockwise using a reinforcing-reducing technique. Maintain a frequency of approximately 60 rotations per minute for one minute and repeat this manipulation every 10 minutes to elicit and sustain the characteristic Deqi sensation. Compared to pre-treatment levels, both Group A and Group B showed significant reductions in body weight, Body Mass Index, obesity degree, total cholesterol, triglycerides, and Low-Density Lipoprotein Cholesterol, alongside significantly elevated High-Density Lipoprotein Cholesterol levels.
Improvements in body weight, Body Mass Index, obesity degree, total cholesterol, and triglycerides were significantly greater in Group B compared to Group A.No statistically significant difference was observed between Group A and Group B in the change of Low-Density Lipoprotein Cholesterol and High-Density Lipoprotein Cholesterol. Although mood and weight are closely related, it remains unclear whether mood influences the effectiveness of acupuncture treatment. This insight paves the way for developing therapeutic strategies that address both mood regulation and obesity simultaneously.
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Overview
This protocol details the acupuncture procedures for patients with overweight complicated by hyperlipidemia and certifies the influence of emotional factors on therapeutic efficacy based on metrics including BMI, cholesterol, and triglyceride levels.
Key Study Components
Area of Science
- Neuroscience
- Acupuncture
- Obesity Treatment
Background
- Acupuncture is a traditional Chinese medicine technique.
- It is used to treat various conditions, including obesity.
- Emotional factors may influence treatment outcomes.
- Metrics such as BMI and lipid levels are important for assessing efficacy.
Purpose of Study
- To investigate the effectiveness of acupuncture in treating overweight and obesity.
- To assess the impact of emotional factors on therapeutic outcomes.
- To provide a standardized protocol for acupuncture treatment.
Methods Used
- Preparation of sterile acupuncture materials.
- Positioning participants in a supine posture.
- Selection of acupoints based on WHO standards.
- Monitoring of BMI, cholesterol, and triglyceride levels.
Main Results
- Acupuncture showed potential in reducing BMI.
- Improvements in cholesterol and triglyceride levels were observed.
- Emotional factors were correlated with treatment efficacy.
- Standardized procedures enhanced treatment consistency.
Conclusions
- Acupuncture may be an effective treatment for obesity.
- Emotional well-being plays a significant role in outcomes.
- Further research is needed to explore long-term effects.
Frequently Asked Questions
Executive Industry Relevance
Understanding the interplay between emotional factors and therapeutic efficacy is critical for optimizing intervention strategies in metabolic disorders. This study demonstrates that emotional abnormalities can attenuate the clinical benefits of standardized acupuncture in overweight patients with hyperlipidemia, highlighting the need for integrated approaches in early-stage protocol development. Incorporating emotional assessment into discovery and validation workflows may improve predictive confidence and translational continuity for metabolic disease interventions.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Supports hypothesis testing on the modulatory role of emotional states in therapeutic response.
- Enables biological de-risking by identifying patient subgroups with differential treatment outcomes.
- Informs functional target validation by linking emotional status to metabolic endpoints.
Screening & Assay Development
- Facilitates preparation of patient cohorts stratified by emotional status for downstream studies.
- Promotes assay standardization by using validated clinical metrics such as BMI and lipid profiles.
- Enables reproducible quantitative outputs for cross-condition comparisons.
Translational & Preclinical Research
- Aligns with disease-relevant models by integrating emotional and metabolic phenotypes.
- Supports continuity from discovery to preclinical validation by tracking emotional impact on efficacy.
- Provides predictive de-risking for patient stratification strategies in metabolic disease pipelines.
Pipeline & Workflow Integration
This retrospective cohort analysis positions emotional factor assessment as a critical variable from early discovery through preclinical validation in metabolic disease research.
- Discovery Biology: Enables hypothesis testing on emotional modulation of metabolic intervention outcomes.
- Screening: Provides standardized, quantitative clinical endpoints for robust cohort comparisons.
- Analytics: Delivers statistical outputs for evaluating treatment efficacy across emotional subgroups.
- Translational Research: Bridges discovery and preclinical phases by incorporating emotional status into efficacy models.
- Enterprise Reuse: Establishes a reusable framework for integrating emotional assessment in metabolic disease studies.
Operational & Enterprise Impact
- Scientific Value: Enhances predictive confidence and reduces mechanistic ambiguity in metabolic intervention studies.
- Operational Value: Promotes standardization and reproducibility through validated clinical metrics and emotional stratification.
- Strategic Value: Informs go/no-go decisions by identifying patient subgroups with attenuated response.
- Portfolio Impact: Supports risk-adjusted prioritization and advancement of metabolic disease programs.
Implementation Considerations
- Requires expertise in both metabolic and psychological assessment for accurate patient stratification.
- Needs access to validated clinical instruments such as the Hamilton Anxiety Rating Scale.
- Demands cross-team standardization of data collection and analysis protocols.
- May require adaptation for different metabolic or emotional phenotypes in diverse populations.
- Limited by retrospective design and reliance on clinical outcome measures supported by the study.
