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Comparing anxiety and depression to obesity and smoking as predictors of major medical illnesses and somatic symptoms.
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OBJECTIVE: Anxiety and depression predict poor physical health longitudinally, but are neglected in primary care settings compared to other risk factors such as obesity and smoking. Further, anxiety has been less commonly studied than depression, and whether anxiety has unique predictive effects for physical health is unknown. We compared anxiety and depression to obesity and smoking as predictors of physical health indices and examined unique predictive effects of anxiety and depression. METHOD: Using data from the Health and Retirement study, a US population-based cohort study of older adults, we tested longitudinal associations of anxiety and depression symptoms with onset of self-reported physical health indices (N = 15,418; M age = 68). Medical illnesses (heart disease, stroke, arthritis, high blood pressure, diabetes, and cancer) and somatic symptoms (stomach problems, shortness of breath, dizziness, back pain, headache, pain, and eyesight difficulties) were assessed on two occasions over four years. Anxiety and depression were measured at the initial time point and tested as predictors of medical illness and somatic symptom onset. RESULTS: Anxiety and depression symptoms predicted greater incidence of nearly all medical illnesses and somatic symptoms. Effects were as strong as or stronger than those of obesity and smoking, and anxiety and depression independently increased risk for most physical health indices assessed. CONCLUSIONS: Findings suggest that anxiety and depression are as strongly predictive of poor future physical health as obesity and smoking and that anxiety is independently linked to poor physical health. Greater attention should be paid towards these conditions in primary care. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Anxiety and depressive symptoms are each associated with a host of negative health outcomes, including disordered eating and worsened health status.
“Anxiety and depressive symptoms are also each associated with a host of negative health outcomes (Niles & O’Donovan, 2019), including disordered eating (Singh, 2014) and worsened health status (e.g., Graham-Engeland et al., 2018).”
From Effects of a Mindfulness-Based Weight Loss Intervention on Long-term Psychological Well-being Among Adults with Obesity: Secondary Analyses from the Supporting Health by Integrating Nutrition and Exercise (SHINE) Trial (2022) · cites this paper as Niles & O’Donovan, 2019
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“Anxiety and depressive symptoms are also each associated with a host of negative health outcomes (Niles & O'Donovan, 2019), including disordered eating (Singh, 2014) and worsened health status 1 3 (Graham-Engeland et al., 2018).”
Background
Metadata
- Authors
- Niles, A. N., & O'Donovan, A.
- Affiliations
- San Francisco VA Medical Center (US)
- ORCID
- Niles, Andrea N.
- Venue
- Health Psychology
- Published
- 2019-02
- Volume
- 38
- Issue
- 2
- Pages
- 172-181
- ISSN
- 0278-6133 (ISSN-L)
- 1930-7810
- PMC
- PMC6592048
- OpenAlex
- W2904137001
- Cited by
- 73
- References
- 8
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 10 · 2023: 10 · 2022: 13 · 2021: 11 · 2020: 13 · 2019: 6
- FWCI
- 5.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Health Psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Veteran’s Affairs
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- anxiety, depression, obesity, smoking, physical health, somatic symptoms, older adults, primary care, health risk factors, Health and Retirement Study
- MeSH terms
- Medically Unexplained Symptoms, Tobacco Smoking, Aged, Anxiety, Depression, Disease, Female, Humans, Male, Obesity, Risk Factors, Self Report
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