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Zhu X, Yue Y, Li L, Zhu L, Cai Y, Shu Y. The relationship between depression and relative fat mass (RFM): A population-based study. J Affect Disord 2024; 356:323-328. [PMID: 38614443 DOI: 10.1016/j.jad.2024.04.031] [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: 12/23/2023] [Revised: 03/27/2024] [Accepted: 04/08/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Relative fat mass (RFM) is a novel indicator for measuring body fat. The relationship between RFM and depression was explored using National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018. METHODS A general statistical description of the population included in the study was performed, and logistic analyses were used to explore the association between body mass index (BMI), waist circumference (WC), RFM and depression. Sensitivity analyses and restricted cubic spline (RCS) were also conducted to investigate the association between RFM and depression. RESULTS A total of 28,836 participants were included in the study. In multivariate models, all obesity indices were associated with depression (P < 0.001). An increase of 1 SD in BMI, WC, and RFM was associated with a respective increased risk of depression of 2.3 %, 1.0 %, and 3.3 %. Excluding those taking antidepressants, the risk of depression was OR 1.88 (95 % CI: 1.26-2.79) for those with RFM in the highest quartile compared with those in the lowest quartile. After Inverse probability of weighting (IPW), the risk of depression in individuals with RFM in the highest quartile compared with individuals in the lowest quartile was 2.62 (95 % CI: 2.21-3.09). The RCS showed a possible nonlinear relationship between RFM and depression. CONCLUSIONS RFM is associated with depression, suggesting that attention to RFM may be helpful for depression research.
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Affiliation(s)
- Xianlin Zhu
- Department of Clinical Psychology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Ya Yue
- Department of Psychiatry of Women and Children, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Lin Li
- Department of Clinical Psychology, Deyang City mental Health Center, Deyang, China
| | - Liying Zhu
- Medical Section, The Second People's Hospital of Huizhou, Huizhou, China
| | - Yuexi Cai
- Department of Psychiatry, Changzhou Dean Hospital, Changzhou, China
| | - Yanping Shu
- Department of Psychiatry of Women and Children, The Second People's Hospital of Guizhou Province, Guiyang, China.
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Jibril AT, Ganjeh BJ, Mirrafiei A, Firouzi M, Norouziasl R, Ghaemi S, Bafkar N, Jayedi A, Djafarian K, Shab-Bidar S. Dose-response association of obesity and risk of mental health among tehranian residents: result of a cross-sectional study. BMC Public Health 2024; 24:1444. [PMID: 38811944 PMCID: PMC11138087 DOI: 10.1186/s12889-024-18670-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 04/19/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND Obesity and mental health issues are two of the most prevalent global public health issues for a significant portion of people. The purpose of this study was to investigate the relationship between obesity indicators and mental health in Tehran-dwelling Iranian adults. METHODS We conducted a cross-sectional study on healthy Iranian adults using a convenience sampling technique. The short form of the Depression Anxiety and Stress Scale (DASS-21) was used to measure the outcome, and independent variables included body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body adiposity index (BAI), and a body shape index (ABSI). The relationship between obesity and mental health was investigated using a multivariate logistic regression model. The non-linear dose-response relationships were evaluated using restricted cubic splines (RCS) with three knots. The Benjamini-Hochberg procedure was used to adjust for multiple testing. RESULTS In our study of 434 participants, females made up 52% of the participants, with a mean age of 38.57 years. In all, 54.6%, 53.9%, and 56.6% were classified as having anxiety, depression, and stress respectively. Logistic regression analysis showed that the odds of mental health components including anxiety, depression, or stress was not significantly different across the tertiles of the obesity indicators. We observed a significant dose-response relationship between BAI and ABSI and the risk of anxiety (PBenjamini-Hochberg 0.028 > Pdose-response 0.023) and stress (PBenjamini-Hochberg 0.028 > Pdose-response 0.003) but not depression (PBenjamini-Hochberg 0.014 < Pdose-response 0.018). The lowest risk for anxiety was observed in people with a BAI of 28% and ABSI equal to 0.079. The risk of stress seemed to increase beyond an ABSI of 0.086. CONCLUSION Our findings showed no direct linear association between obesity indices and anxiety. However, a dose-response relationship was observed between BAI and ABSI and the risk of anxiety and stress, indicating the need for further investigation.
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Affiliation(s)
- Aliyu Tijani Jibril
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Bahareh Jabbarzadeh Ganjeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Amin Mirrafiei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Firouzi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Reyhane Norouziasl
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Shadi Ghaemi
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Negar Bafkar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jayedi
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Kurosh Djafarian
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
- Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
- Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Sports Medicine Research Center, Neuroscience Institute, Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
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Xiong Y, Xu H, Zhu X, Zheng Z, Luo Q. Association of oxidative balance score with helicobacter pylori infection and mortality in the US population. Int J Med Sci 2024; 21:1344-1352. [PMID: 38818466 PMCID: PMC11134595 DOI: 10.7150/ijms.95292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 05/07/2024] [Indexed: 06/01/2024] Open
Abstract
Background: Limited research has examined the association between Oxidative Balance Score (OBS) and mortality, particularly in individuals with Helicobacter pylori (H. pylori) infection. This study investigates the correlation between OBS and H. pylori infection and their impacts on all-cause mortality within a cohort of individuals, considering both infected and uninfected individuals. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) 1999-2018, comprising 4,532 participants, were analyzed. Logistic regression analyses assessed the relationship between H. pylori infection and relevant covariates. Cox regression and restricted cubic spline analysis evaluated the association between total OBS, lifestyle OBS, dietary OBS, and all-cause mortality in H. pylori-positive and -negative individuals. Results: Restricted cubic spline modeling revealed a linear relationship between total OBS and all-cause mortality, particularly in H. pylori-negative patients. Total OBS, dietary OBS, and lifestyle OBS inversely correlated with H. pylori infection, even after adjusting for confounders. Higher dietary OBS was associated with decreased mortality risk exclusively in H. pylori-positive individuals, while lifestyle OBS was associated with mortality only in H. pylori-negative individuals. These findings underscore the complex relationships between OBS, H. pylori infection, and mortality, stressing the importance of infection status in assessing oxidative balance's impact on health. Conclusion: In this sample, higher OBS was associated with lower H. pylori infection risks. Dietary OBS correlated significantly with all-cause mortality in H. pylori-positive individuals, while lifestyle OBS was notably associated with mortality in H. pylori-negative participants. Further research is necessary to elucidate the underlying mechanisms and clinical implications of these findings.
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Affiliation(s)
- Yujun Xiong
- Department of Gastroenterology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China. 100370, Beijing, China
| | - Huazhao Xu
- Hospital Administration Office, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Xingyun Zhu
- Department of Endocrinology, Beijing Jishuitan Hospital, No. 31, East Xinjiekou Street, Xicheng District, 100035, Beijing, People's Republic of China
| | - Zitian Zheng
- Department of Orthopedics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR. China
- Peking University Fifth School of Clinical Medicine, Beijing, PR. China
| | - Qingfeng Luo
- Department of Gastroenterology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China. 100370, Beijing, China
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Tohidi Nafe M, Movahedi A, Djazayery A. Comparison of Dutch healthy eating and healthy eating indexes and anthropometry in patients with major depression with health subjects: a case-control study. Front Nutr 2024; 11:1370562. [PMID: 38769989 PMCID: PMC11102997 DOI: 10.3389/fnut.2024.1370562] [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: 01/14/2024] [Accepted: 04/08/2024] [Indexed: 05/22/2024] Open
Abstract
Background Diseases and disorders related to mental health are spreading like other chronic diseases all around the world. Considering the role of food in the prevention and treatment of these disorders, including major depression, investigating the relationship between different food patterns and this disorder is of particular importance. The aim of this study was to compare Dutch healthy eating and healthy eating indexes and anthropometry in patients with major depression with healthy individuals. Methods In this case-control study, the final analysis was performed on 67 men and 111 women with an age range of 20-30 years. Height (cm), weight (kg), food frequency questionnaire (FFQ), physical activity (MET-min/week), demographic and PHQ-9 questionnaires were taken from all participants. In the following, all the food ingredients and their components were extracted and used to calculate HEI-2015 and DHD. Statistical analysis was performed using SPSS software with independent t-test, logistic regression and chi-square. Results It was found that people with major depression in this study were mostly women and occupied. The average HEI-2015 in healthy people and those with major depression was 58 and 54.3, respectively. Also, the average DHD in these people was 60.5 and 55, respectively. HEI-2015 and DHD had a significant negative correlation with depression score (r = -0.16, p-value = 0.03) (r = -0.19, p-value = 0.01). Also, in the logistic regression model, before and even after adjusting confounders, HEI-2015 and DHD had a reduced odds ratio in people suffering from major depression. The two groups did not differ significantly in terms of the average factors of height, weight and body mass index (BMI). Conclusion It seems that HEI2015 and DHD have a significant relationship in reducing major depression. However, due to the small number of studies in this regard, especially in the field of DHD, the need for more studies seems necessary.
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Affiliation(s)
- Melika Tohidi Nafe
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
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Li M, Yu X, Zhang W, Yin J, Zhang L, Luo G, Liu Y, Yang J. The association between weight-adjusted-waist index and depression: Results from NHANES 2005-2018. J Affect Disord 2024; 347:299-305. [PMID: 38000467 DOI: 10.1016/j.jad.2023.11.073] [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: 08/04/2023] [Revised: 10/31/2023] [Accepted: 11/18/2023] [Indexed: 11/26/2023]
Abstract
OBJECTIVE The weight-adjusted-waist index (WWI) serves as an innovative obesity measure, seemingly surpassing body mass index (BMI) and waist circumference (WC) in evaluating lean and fat mass. This study aimed to explore the relationship between WWI and depression in United States (US) adults. METHODS This population-based study investigated adults with comprehensive WWI and PHQ-9 (9-item Patient Health Questionnaire) data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. WWI was computed by dividing WC by the square root of body weight. Weighted multivariate logistic regression and smoothed curve fitting were employed to examine linear and non-linear associations. Additionally, subgroup analyses and interaction tests were conducted. RESULTS A total of 34,528 participants were enrolled with a prevalence of depression of 7.61 %. WWI was positively related to depression with the full adjustment [odds ratio (OR) = 1.21, 95 % confidence interval (95 % CI): 1.13-1.29]. After converting WWI to a categorical variable by quartiles (Q1-Q4), compared to Q1 the highest WWI quartile was linked to an obviously increased likelihood of depression (OR = 1.51, 95 % CI: 1.29-1.76). Subgroup analysis revealed the stability of the independent positive relationship between WWI and depression (all P for trend >0.05). CONCLUSION WWI levels were positively related to an increased likelihood of depression in US adults. Our findings indicated that WWI may serve as a simple anthropometric index to predict depression.
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Affiliation(s)
- Meng Li
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Xue Yu
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin 300222, China
| | - Wenhui Zhang
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Jiahui Yin
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Lu Zhang
- The First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Guoshuai Luo
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin 300222, China
| | - Yuanxiang Liu
- Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250000, China.
| | - Jiguo Yang
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan 250000, China.
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Wang Y, Zhang X, Li Y, Gui J, Mei Y, Yang X, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Li J, Liu M, Hua Y, Zhang L. Predicting depressive symptom by cardiometabolic indicators in mid-aged and older adults in China: a population-based cross-sectional study. Front Psychiatry 2023; 14:1153316. [PMID: 37351000 PMCID: PMC10282944 DOI: 10.3389/fpsyt.2023.1153316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 05/19/2023] [Indexed: 06/24/2023] Open
Abstract
Objective Depressive symptom is a serious mental illness often accompanied by physical and emotional problems. The prevalence of depressive symptom in older adults has become an increasingly important public health priority. Our study used cardiometabolic indicators to predict depressive symptom in middle-aged and older adults in China. Methods The data came from the China Health and Retirement Longitudinal Study 2011 (CHARLS2011), which was a cross-sectional study. The analytic sample included 8,942 participants aged 45 years or above. The study evaluated the relationship between cardiometabolic indicators and depression by measuring 13 indicators, including body mass index (BMI), waist circumference, waist-height ratio (WHtR), conicity index, visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), a body shape index (ABSI), body roundness index (BRI), triglyceride glucose index (TyG-index) and its correlation index (TyG-BMI, TyG-waist circumference, TyG-WHtR). Binary logistic regression analysis was used to examine the association between thirteen cardiometabolic indicators and depressive symptom. In addition, the receiver operating characteristic (ROC) curve analysis and area under curve (AUC) were used to evaluate the predictive anthropometric index and to determine the optimum cut-off value. Results The study included 8,942 participants, of whom 4,146 (46.37%) and 4,796 (53.63%) were male and female. The prevalence of depressive symptom in mid-aged and older adults in China was 41.12% in males and 55.05% in females. The results revealed that BMI [AUC = 0.440, 95%CI: 0.422-0.457], waist circumference [AUC = 0.443, 95%CI: 0.425-0.460], WHtR [AUC = 0.459, 95%CI: 0.441-0.476], LAP [AUC = 0.455, 95%CI: 0.437-0.472], BRI [AUC = 0.459, 95%CI: 0.441-0.476], CVAI [AUC = 0.449, 95%CI: 0.432-0.467], TyG-BMI [AUC = 0.447, 95%CI: 0.429-0.465], and TyG-waist circumference [AUC =0.452, 95%CI: 0.434-0.470] were weak predictors of depressive symptom (p < 0.05) in males. In females, BMI [AUC = 0.470, 95%CI: 0.453-0.486], LAP [AUC = 0.484, 95%CI: 0.467-0.500], TyG-BMI [AUC = 0.470, 95%CI: 0.454-0.487], and TyG-waist circumference [AUC =0.481, 95%CI: 0.465-0.498] were weak predictors of depressive symptom (p < 0.05). On the other side, VAI, ABSI, conicity index and TyG index could not predict depressive symptom in middle-aged and older adults. Conclusion Most cardiometabolic indicators have important value in predicting depressive symptom. Our results can provide measures for the early identification of depressive symptom in middle-aged and older adults in China to reduce the prevalence of depressive symptom and improve health.
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Affiliation(s)
- Ying Wang
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Xiaoyun Zhang
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Yuqing Li
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Jiaofeng Gui
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Yujin Mei
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Xue Yang
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Haiyang Liu
- Student Health Center, Wannan Medical College, Wuhu, An Hui, China
| | - Lei-lei Guo
- Department of Surgical Nursing, School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Jinlong Li
- Department of Occupational and Environmental Health, Key Laboratory of Occupational Health and Safety for Coal Industry in Hebei Province, School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
| | - Yunxiao Lei
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Xiaoping Li
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Lu Sun
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Liu Yang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Ting Yuan
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Congzhi Wang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Dongmei Zhang
- Department of Pediatric Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Jing Li
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Mingming Liu
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Ying Hua
- Rehabilitation Nursing, School of Nursing, Wanna Medical College, Wuhu, An Hui, China
| | - Lin Zhang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
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Ramos-Vera C, Serpa Barrientos A, Vallejos-Saldarriaga J, Saintila J. Network Analysis of Depressive Symptomatology in Underweight and Obese Adults. J Prim Care Community Health 2022; 13:21501319221096917. [PMID: 35514113 PMCID: PMC9083035 DOI: 10.1177/21501319221096917] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 03/21/2022] [Accepted: 04/07/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Depressive symptoms can affect people's quality of life and social environment. In addition, in severe situations, they can lead to suicidal behaviors. OBJECTIVE This study aimed to analyze the differences in depressive symptoms in underweight and obese Peruvian adults. METHODS A cross-sectional study was carried out based on secondary data obtained from the Instituto Nacional de Estadística e Informática (INEI), Lima, Peru. A sample of 10 053 participants was considered, of which 55.96% were women. Two Gaussian plot models were estimated and the levels of depressive symptomatology were compared between the 2 groups (adults with underweight and obese). RESULTS A total of 1510 (15.02%) were underweight adults and 8543 (84.98%) were obese adults. There were differences in the reporting of depressive symptoms in the underweight group; the most central items were "Depressed mood" (PH2), "Tiredness/low energy" (PH4), and "Psychomotor difficulties" (PH8). CONCLUSION This study provides new evidence on the dynamic relationship between depressive symptoms according to the body mass index categories (underweight and obese) assessed.
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