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Ashley LW, Sutton KF, Cabell GH, Lentz TA, Lewis BD, Olson SA, Mather RC. Elevated body mass index and obesity are associated with pain-associated psychological distress in patients with hip pain. Arch Orthop Trauma Surg 2024; 145:22. [PMID: 39666030 DOI: 10.1007/s00402-024-05665-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 10/17/2024] [Indexed: 12/13/2024]
Abstract
INTRODUCTION Little research has investigated the relationship between musculoskeletal pain and body mass index (BMI) in the context of pain-associated psychological distress. This study aims to determine if independent associations exist between BMI, obesity, demographic variables, and psychological distress in patients presenting with hip pain. MATERIALS AND METHODS Using a retrospective cross-sectional study design, 428 patients completed the Optimal Screening for Prediction of Referral and Outcome Yellow Flag (OSPRO-YF) and were categorized into pain-associated psychological distress phenotypes using latent class analysis. Participants were stratified into five BMI categories outlined by the Centers for Disease Control and Prevention (CDC) using descriptive statistics. Multinomial logistic regression was employed to determine a relationship between psychological distress phenotype and BMI (first as a continuous variable, then as a categorical variable), age, gender, race, and veteran status as candidate variables. RESULTS Four psychological distress phenotypes were generated: high distress (n = 172, 40.2%), low distress (n = 114, 26.6%), negative pain coping (n = 98, 22.9%), and low self-efficacy and acceptance (n = 44, 10.3%). BMI analyses identified 4 participants (0.9%) as being underweight (BMI < 18.5), 146 participants (34.1%) with recommended weights (18.5 < BMI < 24.9), 133 (31.1%) as overweight (25 < BMI < 29.9), 113 (26.4%) with obesity (30 < BMI < 39.9), and 32 (7.5%) with severe obesity (BMI > 40). Additionally, 54.0% of participants with obesity and 59.4% of participants with severe obesity had high psychological distress. As a continuous and categorical variable, elevated BMI was independently associated with membership in the high distress phenotype (p < 0.001). The overweight (p = 0.043), obesity (p < 0.001), and severe obesity (p = 0.034) subgroups and Black/African American participants (p = 0.020) were also all significantly associated with high distress. CONCLUSIONS Elevated BMI and obesity are associated with high psychological distress in patients with hip pain. These results may inform operative, nonoperative, and behavioral health treatment pathways for patients with comorbid obesity and hip pain, as well as provide direction for prospective studies to address obesity and psychological distress among patients with musculoskeletal pain.
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Affiliation(s)
- Lucas W Ashley
- Brody School of Medicine at East, Carolina University, 600 Moye Blvd., Greenville, NC, 27834, USA.
| | - Kent F Sutton
- Departments of Medicine and Pediatrics, Duke University Medical Center, 10 Medicine Circle, Durham, NC, 27710, USA
| | - Grant H Cabell
- Department of Orthopaedic Surgery, Duke University Medical Center, 3475 Erwin Rd., Durham, NC, 27705, USA
| | - Trevor A Lentz
- Department of Orthopaedic Surgery and Duke Clinical Research Institute, Duke University Medical Center, 3475 Erwin Rd., Durham, NC, 27705, USA
| | - Brian D Lewis
- Department of Orthopaedic Surgery and Duke Clinical Research Institute, Duke University Medical Center, 3475 Erwin Rd., Durham, NC, 27705, USA
| | - Steven A Olson
- Department of Orthopaedic Surgery and Duke Clinical Research Institute, Duke University Medical Center, 3475 Erwin Rd., Durham, NC, 27705, USA
| | - Richard C Mather
- Department of Orthopaedic Surgery and Duke Clinical Research Institute, Duke University Medical Center, 3475 Erwin Rd., Durham, NC, 27705, USA
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Nikolic Turnic T, Jakovljevic V, Strizhkova Z, Polukhin N, Ryaboy D, Kartashova M, Korenkova M, Kolchina V, Reshetnikov V. The Association between Marital Status and Obesity: A Systematic Review and Meta-Analysis. Diseases 2024; 12:146. [PMID: 39057117 PMCID: PMC11276062 DOI: 10.3390/diseases12070146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 06/07/2024] [Accepted: 06/09/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Obesity was included in the International Classification of Diseases in 1990 as a chronic disease characterized by the excessive accumulation of body fat and a body mass index (BMI) greater than 30 kg/m2. AIM This systematic review was aimed to examine the role of marital status in determining body mass index and the risk of obesity. METHODS We performed a systematic literature search using three databases (PubMed (Medline), Embase, and Google Scholar) with the search query. RESULTS Of the 105 studies included in the systematic review, 76 studies (72%) reported a greater risk of obesity in married individuals compared to unmarried individuals. A meta-analysis of 24 studies included a total population of 369,499 participants: 257,257 married individuals (40,896 of whom had obesity) and 112,242 comparison subjects (single, divorced, or widowed individuals, 15,084 of whom had obesity). Odds ratios for obesity found a significant pooled odds ratio for obesity in married individuals compared with controls (OR 1.70; 95% CI 1.38-2.10). The socioeconomic environment was not the same throughout the period of studies analyzed. The odds of obesity in married individuals during economic crises was greater than during the period between crises: OR 2.56 (95% CI 2.09-3.13) during crises vs. OR 1.55 (95% CI 1.24-1.95) between crises. CONCLUSION The results of this review confirm the importance of considering marital status in determining the risk of obesity.
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Affiliation(s)
- Tamara Nikolic Turnic
- Department of Pharmacy, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Vladimir Jakovljevic
- Department of Physiology, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia;
- 1st Moscow State Medical, Department of Human Pathology, University IM Sechenov, Trubetskaya Street 8, Str. 2, 119991 Moscow, Russia
| | - Zulfiya Strizhkova
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Nikita Polukhin
- Department of Public Health and Medical Social Sciences, Synergy University, Leningradskiy Prospect 80k46, 125315 Moscow, Russia;
| | - Dmitry Ryaboy
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Mariia Kartashova
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Margarita Korenkova
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Valeriia Kolchina
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Vladimir Reshetnikov
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
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Sayed Ahmed HA, Abo El-Ela SG, Joudeh AI, Moawd SM, El Hayek S, Shah J, Eldahshan NA. Prevalence and Correlates of Night Eating Syndrome, Insomnia, and Psychological Distress in Primary Care Patients with Obesity: A Cross-Sectional Study. Obes Facts 2024; 17:274-285. [PMID: 38484714 PMCID: PMC11149973 DOI: 10.1159/000538341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 03/05/2024] [Indexed: 06/06/2024] Open
Abstract
INTRODUCTION Management of obesity is challenging for both patients and healthcare workers. Considering the low success rate of current interventions, this study aimed to explore the prevalence and associated factors of night eating syndrome (NES), insomnia, and psychological distress among individuals with obesity in order to plan comprehensive obesity management interventions. METHODS A cross-sectional study on a convenient sample from five primary healthcare centers in Port Said, Egypt, was conducted from November 2020 to March 2021. Sociodemographic and clinical characteristics were collected in addition to the assessment of NES, insomnia, and psychological distress using the Arabic versions of the Night Eating Diagnostic Questionnaire (NEQ), the Insomnia Severity Index (ISI), and the Patient Health Questionnaire-4 (PHQ-4) scales, respectively. Associations of NES, insomnia, and psychological distress were assessed by multiple regression analysis. We performed Bonferroni adjustments for multiple comparisons. RESULTS We included 425 participants with obesity with a mean age of 45.52 ± 6.96 years. In all, 54.4% were females and the mean body mass index (BMI) was 35.20 ± 4.41 kg/m2. The prevalence rates of NES, insomnia, and psychological distress were 21.6% (95% CI: 17.7-25.6%), 15.3% (95% CI: 11.9-18.7%), and 18.8% (95% CI: 15.1-22.6%), respectively. NES was significantly associated with younger age (OR 0.974, p = 0.016), physical inactivity (OR 0.485, p = 0.010), insomnia (OR 2.227, p = 0.014), and psychological distress (OR 2.503, p = 0.002). Insomnia showed strong associations with NES (OR 2.255, p = 0.015) and psychological distress (OR 5.990, p < 0.001). Associated factors of psychological distress symptoms included insomnia (OR 6.098, p < 0.001) and NES (OR 2.463, p = 0.003). CONCLUSION The prevalence rates of NES, insomnia, and psychological distress were high among primary care patients with obesity, and these conditions were interrelated. Optimal obesity management necessitates individualized and targeted multidisciplinary care plans that take into consideration individual patients' mental, behavioral, and dietary habits needs.
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Affiliation(s)
- Hazem A Sayed Ahmed
- Department of Family Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Sohila G Abo El-Ela
- Department of Family Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Anwar I Joudeh
- Internal Medicine Department, Al-Khor Hospital, Hamad Medical Corporation, Doha, Qatar
- Internal Medicine Department, College of Medicine, University of Qatar, Doha, Qatar
| | - Sally M Moawd
- Department of Family Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Samer El Hayek
- Medical Department, Erada Center for Treatment and Rehabilitation in Dubai, Dubai, United Arab Emirates
| | - Jaffer Shah
- Weill Cornell Medicine, New York, New York, USA
| | - Nahed Amen Eldahshan
- Department of Family Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
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Vallis M. Helping providers address psychological aspects of obesity in routine care: Development of the obesity adjustment dialogue tool (OADT). OBESITY PILLARS (ONLINE) 2023; 8:100088. [PMID: 38125657 PMCID: PMC10728697 DOI: 10.1016/j.obpill.2023.100088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/11/2023] [Accepted: 09/11/2023] [Indexed: 12/23/2023]
Abstract
Background This study developed and validated a dialogue tool (Obesity Adjustment Dialogue Tool) to efficiently assess QoL and drive to eat for use in routine clinical care. Methods A 13-question interview was created, assessing the impact of living with obesity on quality of life and drive to eat. In a counter-balanced order, PwO were interviewed and completed the Obesity Adjustment Survey (OAS), the Impact of Obesity on Quality of Life-Lite scale (IWQoL), the Three Factor Eating Questionnaire (TREQ), and the Control of Eating Questionnaire (COEQ). Questionnaire results were used to validate the interview using correlational and concordance measures. Results 101 PwO consented and 98 completed all measures (mean BMI = 37.8; 30.7% Class III obesity). Correlations between the QoL dialogue tool and validated instruments (OAS, IWQOL) were moderate to high. Correlations between cravings questions and validated measures (TFEQ, COEQ) were high except for attempts to control eating. Correspondence based on categorizing both the dialogue tool and scales into high/low impact was high except for attempts to control eating (which was dropped from the final tool). Conclusion The Obesity Adjustment Dialogue Tool is a brief clinician-led structured interview which closely matches information derived from validated scales. This tool offers an efficient approach to incorporating QoL factors into obesity management.
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Affiliation(s)
- Michael Vallis
- Family Medicine, Dalhousie University, 133 Milsom St, Halifax, Nova Scotia, B3N 3M3, Canada
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Wang D, Boggiano MM, Huang K, Hu Y, Fu J. Psychometric and cross-cultural generalizability outcomes of the Chinese version of the Kids-Palatable Eating Motives Scale (K-PEMS-C). J Health Psychol 2022; 28:663-674. [DOI: 10.1177/13591053221129705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Overeating for non-homeostatic needs contributes to childhood obesity. However, validated measures or eating motives and cross-cultural comparisons are limited. This study aimed to validate the Kids-Palatable Eating Motives Scale (K-PEMS) and its association with body mass index z score (BMIz) in China, and further assess its generalization across Chinese and American youth. Data were from participants aged 8–18 years from Hangzhou, China ( n = 426) and Birmingham, AL, U.S ( n = 73). The K-PEMS had sound reliability and validation (Cronbach’s α = 0.920 and all factor loadings >0.50) in the Chinese sample. Multi-group nested models CFAs showed that the ∆CFI of model comparisons of measurement weights and structural covariance, variance, and means were ⩽0.01, and ∆TLI of measurement intercepts ⩽0.05. Linear regressions revealed that frequency of consuming palatable foods and drinks for Coping, Reward Enhancement, and Conformity, but not Social motives, were positively associated with BMIz. The K-PEMS had good cross-cultural generalization and could be useful in treating obesity by identifying specific motives for consuming excessive calories.
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Affiliation(s)
- Dan Wang
- Zhejiang University School of Medicine, China
| | | | - Ke Huang
- Zhejiang University School of Medicine, China
| | | | - Junfen Fu
- Zhejiang University School of Medicine, China
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Fentie D, Derese T. Prevalence and associated factors of overweight/obesity among severely ill psychiatric patients in Eastern Ethiopia: A comparative cross-sectional study. PLoS One 2022; 17:e0264461. [PMID: 35235579 PMCID: PMC8890638 DOI: 10.1371/journal.pone.0264461] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 02/10/2022] [Indexed: 11/19/2022] Open
Abstract
Background Globally, the burden of overweight and obesity is a major cardiovascular disease risk factor and is even higher among patients with psychiatric disorders compared to the general population. This is mainly due to the deleterious lifestyles characterized by physical inactivity, excessive substance use, and unhealthy diets common among patients with psychiatric disorders, as well as the negative metabolic effects of psychotropic medications. Despite these conditions being a high burden among patients with psychiatric illness, little attention is given to them during routine reviews in psychiatric clinics in most African nations, including Ethiopia. Therefore, this study aimed to estimate and compare the prevalence of and associated risk factors for overweight and obesity among patients with psychiatric illnesses. Methods A comparative cross-sectional study was conducted between severely ill psychiatric patients and non-psychiatric patients in Dire Dawa, Eastern Ethiopia. The study included 192 study participants (96 psychiatric patients and 96 non-psychiatric controls). Weight and height were measured for 192 study participants. Baseline demographic and clinical characteristics of psychiatric and non-psychiatric patients were described. The data were cleaned and analyzed using the Statistical Package for Social Sciences, Version 21. The intergroup comparisons were performed using an independent sample t-test and Chi-square tests. Logistic regression analysis was used to identify the association between overweight/obesity and the associated variables. Results The magnitude of overweight/obesity was significantly higher in the severely ill psychiatric groups (43.8%) than in the non-exposed controls (20.80%). The prevalence of overweight/obesity was highest in major depressive disorders (40%), followed by schizophrenia (32%), and bipolar disorder (28%). Conclusions There was a high prevalence of obesity/overweight among psychiatric patients. Educational status, unemployment, and late stages of the disease were significant predictors of overweight/ obesity. Clinicians should be aware of the health consequences of overweight/obesity, and considering screening strategies as a part of routine psychiatric care is strongly recommended.
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Affiliation(s)
- Dilnessa Fentie
- School of Medicine, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia
- * E-mail:
| | - Tariku Derese
- Department of Public Health, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia
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Almarhoon FH, Almubarak KA, Alramdhan ZA, Albagshi RS, Alotayriz JK, Alqahtani AH. The Association Between Depression and Obesity Among Adults in the Eastern Province, Saudi Arabia. Cureus 2021; 13:e18794. [PMID: 34804660 PMCID: PMC8592295 DOI: 10.7759/cureus.18794] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/14/2021] [Indexed: 11/24/2022] Open
Abstract
Background: Depression is a primary cause of disability-adjusted life years lost globally. It is a common mental disorder with roughly more than 264 million adults affected. Obesity is another major health problem affecting more than 650 million adults worldwide. The presence of depression and obesity, along with each other, is associated with more negative health outcomes. Objectives: To explore the correlation between depression and obesity among adults in the Eastern Province of Saudi Arabia and analyze this association with other variables, including patients' demographics, body mass index (BMI), and presence of chronic and psychiatric illness. Method: A cross-sectional study was done in the Eastern Province, Saudi Arabia. A total number of 711 participants were enrolled. Arabic version of Patient Health Questionnaire 9 (PHQ-9) was used. Body mass index (BMI) scores were used to classify participants into underweight, average weight, overweight, and obese. Result: It was found that 41.7% of the obese participants have moderate to severe depression, and this result was statistically significant (P = 0.027, 95% CI 1.69-1.98). The prevalence was more marked among young participants (P = 0.001). Other variables such as marital status, the presence of a chronic illness, psychiatric disorders, regular intake of medications, effect of depressive symptoms on daily activity, and the number of years diagnosed with obesity and depression all showed a statistically significant association in the presence of comorbidity of obesity and depression (P < 0.05). Conclusion: The association between depression and obesity is most prominent in young adults aged between 18 to 25 years (11.2%), being single (12.8%), having a BMI of 30 or more for 10 years or more (45.4%), the presence of associated chronic illnesses (17.6%), the presence of associated psychiatric disorder (18.3%) and intake of regular medications (18.3%). Depression and obesity are major health challenges worldwide. Many studies were done to assess the relationship between obesity and depression, but only a few were conducted in Saudi Arabia. This study was done to investigate this relationship. It will help raise awareness about the comorbidity of depression and obesity to address preventative and therapeutic measures.
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