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Parke A, Eschle T, Keatley D. Risk factors for momentary loss of control and subsequent abandonment of self-devised dietary restraint plans in adults with weight-loss goals: a behaviour sequence analysis approach. Psychol Health 2024; 39:691-709. [PMID: 35791507 DOI: 10.1080/08870446.2022.2094929] [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: 08/23/2021] [Revised: 04/20/2022] [Accepted: 06/17/2022] [Indexed: 10/17/2022]
Abstract
OBJECTIVE The current study aims to improve understanding of events leading to lapses of dietary restraint, and to identify pathways to perseverance or abandonment of weight loss efforts in response to lapses. In addition, Behaviour Sequence Analysis (BSA) was also evaluated as an analytical tool in dietary behaviour. DESIGN A sample of 176 adults who were engaging in self-imposed dietary restraint for weight loss were recruited to participate. MAIN OUTCOME MEASURES Participants were instructed to provide a detailed written timeline of an episode where they lapsed in their dietary restraint plan. They were instructed to report their preceding behaviours and internal states, and social and environmental contexts, leading up to and after their lapse in dietary restraint. RESULTS Lapses in dietary restraint were precipitated by negative internal states in the presence of cues for highly palatable foods. In addition, abandonment of weight loss efforts after lapsing was preceded by dichotomous thinking, whereas perseverance was preceded by a more neutral, flexible interpretation of the lapse in self-control. CONCLUSION BSA has identified that neutral evaluation of inevitable lapses in dietary restraint are predictive of continuation with weight loss efforts, highlighting the importance of individual tolerance of lapses in self-regulation.
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Affiliation(s)
- Adrian Parke
- Psychology Division, Education and Social Sciences, University of West of Scotland, Paisley, Renfrewshire, UK
- Researchers in Behaviour Sequence Analysis (ReBSA)
| | - Timothy Eschle
- Psychology Division, Education and Social Sciences, University of West of Scotland, Paisley, Renfrewshire, UK
| | - David Keatley
- Researchers in Behaviour Sequence Analysis (ReBSA)
- Murdoch University, Perth, WesternAustralia
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2
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Ezeama NN, Okunna N, Ezeama CO. Multi-Level Correlates of the Nutritional Status of Nigerian Women of Reproductive Age. COMMUNITY HEALTH EQUITY RESEARCH & POLICY 2023; 44:109-121. [PMID: 37724033 DOI: 10.1177/2752535x221126071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
Abstract
Poor nutrition compromises the capacity of women to perform their vital roles as mothers and productive workers in their families, communities and society. Using a conceptual framework developed by the United Nations Children's Fund, this study determines individual-, household- and community-level factors associated with the nutritional status of Nigerian women of reproductive age. A secondary analysis of pooled data from the Nigeria Demographic and Health Survey (NDHS) for 2003, 2008, 2013 and 2018 was conducted involving 82,734 non-pregnant women aged 15-49 years. Multinomial logistic regression was used to determine predictors of nutritional status. Study results show that a significant proportion of the women had poor nutritional status; the prevalence of underweight, overweight and obesity were 12.1%, 16.8% and 7.2% respectively. Statistically significant factors associated with poor nutritional status were found at all three levels, highlighting the need for effective multidimensional, multisectoral policy interventions to address the double burden of malnutrition among women in Nigeria.
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Affiliation(s)
- Nkiru N Ezeama
- Department of Community Medicine and Primary Health Care, Faculty of Medicine, Nnamdi Azikiwe University, Awka, Nigeria
| | - Nene Okunna
- Department of Health, West Chester University, West Chester, PA, USA
| | - Chukwuemeka O Ezeama
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Nnamdi Azikiwe University, Awka, Nigeria
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3
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Sanches MD, Goldberg TBL, Rizzo ADCB, da Silva VN, Mosca LN, Romagnoli GG, Gorgulho CM, Araujo Junior JP, de Lima GR, Betti IR, Kurokawa CS. Inflammatory cytokines and chemokines in obese adolescents with antibody against to adenovirus 36. Sci Rep 2023; 13:9918. [PMID: 37336969 DOI: 10.1038/s41598-023-33084-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 04/06/2023] [Indexed: 06/21/2023] Open
Abstract
Obesity in adolescents has reached epidemic proportions and is associated with the inflammatory response and viral infections. The aim of this study was to understand the profile of inflammatory cytokines and chemokines associated with the inflammatory response and metabolic syndrome (MetS) in obese adolescents with positive serology for adenovirus 36 (ADV36). Thirty-six overweight, 36 obese, and 25 severe obesity adolescents aged 10 to 16 years were included in the study. The following variables were analyzed: sex, age, body mass index (BMI), blood pressure, total cholesterol and fractions, triglycerides, glucose, serum cytokine concentrations, and ADV36 antibodies. Cytokines and chemokines were quantified by cytometry and ADV36 serology was determined by enzyme-linked immunosorbent assay (ELISA). The results showed higher levels of the cytokines interleukin-1beta (IL-1β), IL-6, IL-10 and of the chemokine interferon-gamma-inducible protein 10 (IP-10) in severe obesity adolescents compared to the obese and overweight groups, as well as in the group with MetS compared to the group without this syndrome. The frequency of ADV36-positive individuals did not differ between groups. The findings revealed differences in BMI between the obese and severe obesity groups versus the overweight group in the presence of positivity for ADV36, suggesting an association with weight gain and possibly MetS installation.
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4
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Liu T, Wu B, Yao Y, Chen Y, Zhou J, Xu K, Wang N, Fu C. Associations between depression and the incident risk of obesity in southwest China: A community population prospective cohort study. Front Public Health 2023; 11:1103953. [PMID: 36741957 PMCID: PMC9893117 DOI: 10.3389/fpubh.2023.1103953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 01/05/2023] [Indexed: 01/21/2023] Open
Abstract
Objective This study aimed to describe the incidence of obesity and investigate associations between depression and the risk of incident obesity among residents in Southwest China. Methods A 10-year prospective cohort study of 4,745 non-obese adults was conducted in Guizhou, southwest China from 2010 to 2020. Depression was assessed by the Patient Health Questionnaire-9 (PHQ-9) while the obesity was identified by waist circumference (WC) and/or body mass index (BMI). Cox proportional hazard models were used to estimate hazard ratios (HR), and 95% confidence intervals (CIs) of depression and incident obesity. Results A total of 1,115 incident obesity were identified over an average follow-up of 7.19 years, with an incidence of 32.66 per 1,000 PYs for any obesity, 31.14 per 1,000 PYs and 9.40 per 1,000 PYs for abdominal obesity and general obesity, respectively. After adjustment for potential confounding factors, risks of incident abdominal obesity for subjects with minimal (aHR: 1.22, 95% CI: 1.05, 1.43), and mild or more advanced depression (aHR: 1.27, 95% CI: 1.01, 1.62) were statistically higher than those not depressed, while there was no significant association with incident general obesity. The risks of any incident obesity among subjects with minimal (aHR: 1.21, 95% CI: 1.04, 1.40), mild or more advanced depression (aHR: 1.30, 95% CI: 1.03, 1.64) were significantly higher than those not depressed and positive association was found for PHQ score per SD increase (aHR: 1.07, 95%CI: 1.01, 1.13), too. The association was stronger significantly in Han Chinese (minimal: aHR: 1.27, 95% CI: 1.05, 1.52; mild or more advanced: aHR: 1.70, 95% CI: 1.30, 2.21) and farmers (minimal: aHR: 1.64, 95% CI: 1.35, 2.01; mild or more advanced: aHR: 1.82, 95% CI: 1.32, 2.51). Conclusion Depression increased the risk of incident obesity among adults in Southwest China, especially among Han Chinese and farmers. This finding suggests that preventing and controlling depression may benefit the control of incident obesity.
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Affiliation(s)
- Tao Liu
- Guizhou Center for Disease Control and Prevention, Guiyang, China
| | - Bo Wu
- School of Public Health, Fudan University, Shanghai, China,National Health Commission of People's Republic of China (NHC) Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yuntong Yao
- Guizhou Center for Disease Control and Prevention, Guiyang, China
| | - Yun Chen
- School of Public Health, Fudan University, Shanghai, China,National Health Commission of People's Republic of China (NHC) Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jie Zhou
- Guizhou Center for Disease Control and Prevention, Guiyang, China
| | - Kelin Xu
- School of Public Health, Fudan University, Shanghai, China,National Health Commission of People's Republic of China (NHC) Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Na Wang
- School of Public Health, Fudan University, Shanghai, China,National Health Commission of People's Republic of China (NHC) Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Chaowei Fu
- School of Public Health, Fudan University, Shanghai, China,National Health Commission of People's Republic of China (NHC) Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China,*Correspondence: Chaowei Fu ✉
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5
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Kesztyüs D, Lampl J, Kesztyüs T. The Weight Problem: Overview of the Most Common Concepts for Body Mass and Fat Distribution and Critical Consideration of Their Usefulness for Risk Assessment and Practice. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111070. [PMID: 34769593 PMCID: PMC8583287 DOI: 10.3390/ijerph182111070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/13/2021] [Accepted: 10/18/2021] [Indexed: 01/02/2023]
Abstract
The prevalence of obesity already reached epidemic proportions many years ago and more people may die from this pandemic than from COVID-19. However, the figures depend on which measure of fat mass is used. The determination of the associated health risk also depends on the applied measure. Therefore, we will examine the most common measures for their significance, their contribution to risk assessment and their applicability. The following categories are reported: indices of increased accumulation of body fat; weight indices and mortality; weight indices and risk of disease; normal weight obesity and normal weight abdominal obesity; metabolically healthy obesity; the obesity paradox. It appears that BMI is still the most common measure for determining weight categories, followed by measures of abdominal fat distribution. Newer measures, unlike BMI, take fat distribution into account but often lack validated cut-off values or have limited applicability. Given the high prevalence of obesity and the associated risk of disease and mortality, it is important for a targeted approach to identify risk groups and determine individual risk. Therefore, in addition to BMI, a measure of fat distribution should always be used to ensure that less obvious but risky manifestations such as normal weight obesity are identified.
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Affiliation(s)
- Dorothea Kesztyüs
- Department of Medical Informatics at the University Medical Centre Göttingen, Georg August University, Von-Siebold-Str. 3, 37075 Göttingen, Germany;
- Correspondence: ; Tel.: +49-731-37873521
| | - Josefine Lampl
- General Practitioner Centre Arnold & Liffers, Albstr. 6, 89081 Jungingen, Germany;
| | - Tibor Kesztyüs
- Department of Medical Informatics at the University Medical Centre Göttingen, Georg August University, Von-Siebold-Str. 3, 37075 Göttingen, Germany;
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6
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Türkben Polat H, Kaplan Serin E. Self-esteem and sexual quality of life among obese women. Perspect Psychiatr Care 2021; 57:1083-1087. [PMID: 33111358 DOI: 10.1111/ppc.12660] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/07/2020] [Accepted: 10/10/2020] [Indexed: 12/12/2022] Open
Abstract
PURPOSE To evaluate the sexual quality of life and self-esteem of obese women and the relationship between them. DESIGN AND METHODS This is a descriptive and cross-sectional study. A descriptive questionnaire, Rosenberg Self-Esteem Scale, and Sexual Quality of Life Questionnaire were used to collect the data. FINDINGS Participants had a moderate level of self-esteem. The mean scores of the participants were 50.45 + 10.23 for Sexual Quality of Life Questionnaire. A positive correlation was found between self-esteem and sexual quality of life. PRACTICE IMPLICATIONS High self-esteem is positively correlated with quality of sexual life in obese woman. Physical activity increases self-esteem and sexual quality of life. Obesity impairs sexual quality of life among obese women.
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Affiliation(s)
- Hilal Türkben Polat
- Department of Nursing, Seydişehir Faculty of Health Sciences, Necmettin Erbakan University, Konya, Turkey
| | - Emine Kaplan Serin
- Department of Nursing, Faculty of Health Sciences, Gaziantep University, Gaziantep, Turkey
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7
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Farruggia MC, van Kooten MJ, Perszyk EE, Burke MV, Scheinost D, Constable RT, Small DM. Identification of a brain fingerprint for overweight and obesity. Physiol Behav 2020; 222:112940. [PMID: 32417645 PMCID: PMC7321926 DOI: 10.1016/j.physbeh.2020.112940] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 04/27/2020] [Accepted: 04/28/2020] [Indexed: 12/16/2022]
Abstract
The brain plays a central role in the pathophysiology of overweight and obesity. Connectome-based Predictive Modeling (CPM) is a newly developed, data-driven approach that exploits whole-brain functional connectivity to predict a behavior or trait that varies across individuals. We used CPM to determine whether brain "fingerprints" evoked during milkshake consumption could be isolated for common measures of adiposity in 67 adults with overweight and obesity. We found that CPM captures more variance in waist circumference than either percent body fat or BMI, the most frequently used measures to assess brain correlates of obesity. In a post-hoc analysis, we were also able to derive a largely separable functional connectivity network predicting fasting blood insulin. These findings suggest that, in individuals with overweight and obesity, brain network patterns may be more tightly coupled to waist circumference than BMI or percent body fat and that adiposity and glucose tolerance are associated with distinct maps, pointing to dissociable central pathophysiological phenotypes for obesity and diabetes.
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Affiliation(s)
- Michael C Farruggia
- Interdepartmental Neuroscience Program, Yale University, 333 Cedar Street, New Haven, CT, U.S.; Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA.
| | - Maria J van Kooten
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA; University of Groningen, Faculty of Medical Sciences, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.
| | - Emily E Perszyk
- Interdepartmental Neuroscience Program, Yale University, 333 Cedar Street, New Haven, CT, U.S.; Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA.
| | - Mary V Burke
- Interdepartmental Neuroscience Program, Yale University, 333 Cedar Street, New Haven, CT, U.S.; Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA.
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States; Department of Statistics and Data Science, Yale University, New Haven, CT, United States; Child Study Center, Yale School of Medicine, New Haven, CT, United States.
| | - R Todd Constable
- Interdepartmental Neuroscience Program, Yale University, 333 Cedar Street, New Haven, CT, U.S.; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, United States.
| | - Dana M Small
- Interdepartmental Neuroscience Program, Yale University, 333 Cedar Street, New Haven, CT, U.S.; Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA; Department of Psychology, Yale University, New Haven, CT, United States; fMEG Center, University of Tübingen, Tübingen, Germany.
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8
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Tuomela J, Kaprio J, Sipilä P, Silventoinen K, Wang X, Ollikainen M, Piirtola M. Accuracy of self-reported anthropometric measures — Findings from the Finnish Twin Study. Obes Res Clin Pract 2019; 13:522-528. [PMID: 31761633 PMCID: PMC9234778 DOI: 10.1016/j.orcp.2019.10.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 08/21/2019] [Accepted: 10/28/2019] [Indexed: 12/25/2022]
Abstract
Objective: To determine the accuracy of self-reported height, weight, body mass index (BMI) and waist circumference (WC) compared to the measured values, and to assess the similarity between self-reported and measured values within dizygotic (DZ) and monozygotic (MZ) twin pairs. Methods: The data on self-reported and measured height, weight and WC values as well as measured hip circumference (HC) were collected from 444 twin individuals (53–67 years old, 60% women). Accuracies between self-reported and measured values were assessed by Pearson’s correlation coefficients, Cohen’s kappa coefficients and Bland-Altman 95% limits of agreement. Intra-class correlation was used in within-pair analyses. Results: The correlations between self-reported and measured values were high for all variables (r = 0.86–0.98), although the agreement assessed by Bland-Altman 95% limits had relatively wide variation. The degree of overestimating height was similar in both sexes, whereas women tended to underestimate and men overestimate their weight. Cohen’s kappa coefficients between self-reported and measured BMI categories were high: 0.71 in men and 0.70 in women. Further, the mean self-reported WC was less than the mean measured WC (difference in men 2.5 cm and women 2.6 cm). The within-pair correlations indicated a tendency of MZ co-twins to report anthropometric measures more similarly than DZ co-twins. Conclusions: Self-reported anthropometric measures are reasonably accurate indicators for obesity in large cohort studies. However, the possibility of more similar reporting among MZ pairs should be taken into account in twin studies exploring the heritability of different phenotypes.
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9
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Qian X, Su C, Zhang B, Qin G, Wang H, Wu Z. Changes in distributions of waist circumference, waist-to-hip ratio and waist-to-height ratio over an 18-year period among Chinese adults: a longitudinal study using quantile regression. BMC Public Health 2019; 19:700. [PMID: 31170949 PMCID: PMC6555739 DOI: 10.1186/s12889-019-6927-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 04/30/2019] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Little is known about the long-term shifts in distributions of three abdominal-obesity-related indicators, waist circumference (WC), waist-to-hip ratio (WHpR) and waist-to-height ratio (WHtR) among Chinese adults. Traditional mean regression models used in the previous analyses were limited in their ability to capture cross-distribution among effects. The current study aims to describe the shift in distribution of WC, WHpR, and WHtR over a period of 18 years (1993-2011) in China, and to reveal quantile-specific associations of the three indicators with key covariates. METHODS Longitudinal data from seven waves of the China Health and Nutrition Surveys (CHNS) in 1993, 1997, 2000, 2004, 2006, 2009 and 2011 were analyzed. The LMS method was used to illustrate the gender-specific quantile curves of WC, WHtR and WHpR over age. Separate gender-stratified longitudinal quantile regressions were employed to investigate the effect of important factors on the trends of the three indicators. RESULTS A total of 11,923 participants aged 18-65 years with 49,507 observations were included in the analysis. The density curves of WC, WHtR and WHpR shifted to right and became wider. The three outcomes all increased with age and increased more at upper percentiles. From the multivariate quantile regression, physical activity was negatively associated in both genders; smoking only had a negative effect on male indicators. Education and drinking behavior both had opposite effects on the three indicators between men and women. Marital status and income were positively associated with the shifts in WC, WHtR and WHpR in male and female WC, while urbanicity index had a positive effect on three outcomes in men but inconsistent effect among female outcomes. CONCLUSIONS The abdominal-obesity related indicators of the Chinese adults experienced rapid growth according to our population-based, age- and gender-specific analyses. Over the 18-year study period, major increases in WC, WHtR and WHpR were observed among Chinese adults. Specifically, these increases were greater at upper percentiles and in men. Age, physical activity, energy intake, drinking, smoking, education, income and urbanicity index were associated with elevated abdominal obesity indicators, and the effects differed among percentiles and between genders.
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Affiliation(s)
- Xiwen Qian
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, 200032, People's Republic of China
| | - Chang Su
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing, 100050, People's Republic of China
| | - Bing Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing, 100050, People's Republic of China
| | - Guoyou Qin
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, 200032, People's Republic of China
| | - Huijun Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing, 100050, People's Republic of China.
| | - Zhenyu Wu
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, 200032, People's Republic of China.
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10
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Milne RL, Fletcher AS, MacInnis RJ, Hodge AM, Hopkins AH, Bassett JK, Bruinsma FJ, Lynch BM, Dugué PA, Jayasekara H, Brinkman MT, Popowski LV, Baglietto L, Severi G, O'Dea K, Hopper JL, Southey MC, English DR, Giles GG. Cohort Profile: The Melbourne Collaborative Cohort Study (Health 2020). Int J Epidemiol 2018. [PMID: 28641380 DOI: 10.1093/ije/dyx085] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- R L Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - A S Fletcher
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - R J MacInnis
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - A M Hodge
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - A H Hopkins
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - J K Bassett
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - F J Bruinsma
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - B M Lynch
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia.,Physical Activity Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - P A Dugué
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - H Jayasekara
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - M T Brinkman
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - L V Popowski
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - L Baglietto
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia.,Centre de Recherche en Épidémiologie et Santé des Populations, Université Paris-Saclay, Villejuif, France.,Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - G Severi
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia.,Centre de Recherche en Épidémiologie et Santé des Populations, Université Paris-Saclay, Villejuif, France.,Human Genetics Foundation (HuGeF), Turin, Italy
| | - K O'Dea
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre of Population Health Research, University of South Australia, Adelaide, SA, Australia
| | - J L Hopper
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - M C Southey
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Genetic Epidemiology Laboratory, University of Melbourne, Parkville, VIC, Australia
| | - D R English
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - G G Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
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11
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Fitness versus adiposity in cardiovascular disease risk. Eur J Clin Nutr 2018; 73:225-230. [PMID: 30297762 DOI: 10.1038/s41430-018-0333-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 09/12/2018] [Indexed: 11/09/2022]
Abstract
Obesity and low cardiorespiratory fitness are both established predictors of cardiovascular disease morbidity and mortality. Whether the protective effects of fitness outweigh the deleterious effects of obesity, however, remains a topic of debate. To extend knowledge of the relative influence of fitness and fatness on cardiovascular disease outcomes, however, attention must be paid to measurement quality. Eliminating inherent bias of self-report and including the highest quality assessments of cardiorespiratory fitness and fatness simultaneously are imperative for head-to-head comparisons. Studies must move beyond body mass index and total body fat percentage to differentiate the heterogenous effects of various adipose tissue depots on cardiovascular risk. Imaging techniques that measure visceral adiposity and other risk-laden ectopic adipose depots while also quantifying cardioprotective adipose depots such as lower body subcutaneous fat and even non-adipose tissues such as skeletal muscle may further illuminate the influence of body composition on cardiovascular health. This review underscores key studies within a large body of literature that provide the foundation for the fit-vs.-fat debate in the context of cardiovascular disease risk, and identifies important considerations for future research.
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12
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da Luz FQ, Hay P, Touyz S, Sainsbury A. Obesity with Comorbid Eating Disorders: Associated Health Risks and Treatment Approaches. Nutrients 2018; 10:E829. [PMID: 29954056 PMCID: PMC6073367 DOI: 10.3390/nu10070829] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 06/20/2018] [Accepted: 06/25/2018] [Indexed: 12/29/2022] Open
Abstract
Obesity and eating disorders are each associated with severe physical and mental health consequences, and individuals with obesity as well as comorbid eating disorders are at higher risk of these than individuals with either condition alone. Moreover, obesity can contribute to eating disorder behaviors and vice-versa. Here, we comment on the health complications and treatment options for individuals with obesity and comorbid eating disorder behaviors. It appears that in order to improve the healthcare provided to these individuals, there is a need for greater exchange of experiences and specialized knowledge between healthcare professionals working in the obesity field with those working in the field of eating disorders, and vice-versa. Additionally, nutritional and/or behavioral interventions simultaneously addressing weight management and reduction of eating disorder behaviors in individuals with obesity and comorbid eating disorders may be required. Future research investigating the effects of integrated medical, psychological and nutritional treatment programs addressing weight management and eating disorder psychopathology in individuals with obesity and comorbid eating disorder behaviors—such as binge eating—is necessary.
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Affiliation(s)
- Felipe Q da Luz
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia.
- Faculty of Science, School of Psychology, the University of Sydney, Camperdown, NSW 2006, Australia.
- CAPES Foundation, Ministry of Education of Brazil, Brasília, DF 70040-020, Brazil.
| | - Phillipa Hay
- Translational Health Research Institute (THRI), School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.
| | - Stephen Touyz
- Faculty of Science, School of Psychology, the University of Sydney, Camperdown, NSW 2006, Australia.
| | - Amanda Sainsbury
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia.
- Faculty of Science, School of Psychology, the University of Sydney, Camperdown, NSW 2006, Australia.
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Gearon E, Tanamas SK, Stevenson C, Loh VHY, Peeters A. Changes in waist circumference independent of weight: Implications for population level monitoring of obesity. Prev Med 2018; 111:378-383. [PMID: 29199118 DOI: 10.1016/j.ypmed.2017.11.030] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 10/27/2017] [Accepted: 11/27/2017] [Indexed: 12/14/2022]
Abstract
UNLABELLED Population monitoring of obesity is most commonly conducted using body mass index (BMI). We test the hypothesis that because of increases in waist circumference (WC) independent of increases in weight, BMI alone detects an increasingly smaller proportion of the population with obesity. METHODS Australian adults with measured height, weight, and WC were selected from three nationally representative cross-sectional surveys (1989, 1999-2000, 2011-12; n=8313, 5903 & 3904). Participants were defined as having obesity using classifications for an obese BMI (≥30kg·m-2) and substantially-increased-risk WC (≥88cm [women], ≥102cm [men]). Age-standardised prevalence of obesity according to BMI and/or WC, and the proportion of these detected by BMI and by WC were compared across surveys. FINDINGS Between 1989 and 2011-12, weight and WC increased by 5.4kg and 10.7cm (women), and by 7.0kg and 7.3cm (men). For women and men, 63% and 38% of increases in WC were independent of increases in weight. Over this period, the prevalence of obesity according to BMI and/or WC increased by 25.3 percentage-points for women (18.9% to 44.3%) and 21.1 percentage-points for men (17.1% to 38.2%). The proportion of these detected by BMI decreased for women by 20 percentage-points (77% to 57%) with no change for men. The proportion of these detected by WC increased for women and men by 10 percentage-points (87% to 97%) and 6 percentage-points (85% to 91%) respectively. CONCLUSION BMI alone is detecting a decreasing proportion of those considered obese by BMI and/or WC. Renewed discussion regarding how we monitor obesity at the population level is required.
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Affiliation(s)
- Emma Gearon
- Global Obesity Centre, Deakin University, Locked Bag 20000, Geelong, Victoria 3220, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Locked Bag 20000, Geelong, Victoria 3220, Australia.
| | - Stephanie K Tanamas
- Department of Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 1550 E. Indian School Rd., Phoenix, AZ 85014, United States.
| | - Christopher Stevenson
- School of Health and Social Development, Deakin University, Locked Bag 20000, Geelong, Victoria 3220, Australia.
| | - Venurs H Y Loh
- Institute for Health and Ageing, Australian Catholic University, Level 6, 215 Spring Street, Melbourne, Victoria 3000, Australia.
| | - Anna Peeters
- Global Obesity Centre, Deakin University, Locked Bag 20000, Geelong, Victoria 3220, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Locked Bag 20000, Geelong, Victoria 3220, Australia.
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14
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Fernández-Ruiz VE, Paniagua-Urbano JA, Solé-Agustí M, Ruiz-Sánchez A, Gómez-Marín J, Armero-Barranco D. Impact of the I 2AO 2 interdisciplinary program led by nursing on psychological comorbidity and quality of life: Randomized controlled clinical trial. Arch Psychiatr Nurs 2018; 32:268-277. [PMID: 29579523 DOI: 10.1016/j.apnu.2017.11.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Revised: 09/05/2017] [Accepted: 11/05/2017] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Obesity is an entity of highly prevalent multifactorial origin with associated metabolic and psychological comorbidity, causing a negative impact on the quality of life of those who suffer from it. The objective is to evaluate the impact of an interdisciplinary program for nurse-led obesity on quality of life related to health and anxiety. METHODS Randomized controlled clinical trial with a sample of 74 subjects diagnosed with obesity (EG: n=37; CG: n=37). The intervention consisted of a 12-month interdisciplinary program (with pre-test, 12month and 24month follow-up) coordinated by nurses. RESULTS The anxiety analysis shows that there is no effect of the intervention on S-STAI (F2; 144=0.246; p=0.782), which has increased in both groups. However, there is an effect on T-STAI (F2; 144=8872; p<0.001), which only increases in the control group. The interdisciplinary program has significantly improved health-related quality of life (SF-36), both in physical health parameters as well as in mental health. CONCLUSION The interdisciplinary program led by nursing professionals has improved the quality of life related to health and has prevented the increase of anxiety-trait in participants, maintaining the long-term effects.
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15
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Chimeddamba O, Gearon E, Brilleman SL, Tumenjargal E, Peeters A. Increases in waist circumference independent of weight in Mongolia over the last decade: the Mongolian STEPS surveys. BMC OBESITY 2017; 4:19. [PMID: 28491328 PMCID: PMC5422882 DOI: 10.1186/s40608-017-0155-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Accepted: 04/27/2017] [Indexed: 11/30/2022]
Abstract
Background In Mongolia, mean waist circumference (WC) has increased dramatically over the last decade, however, it is unknown whether these increases have been greater than corresponding increases in weight. In this study we aimed to assess whether recent increases in WC were greater than expected from changes in weight in Mongolian adults. Methods We used data on 13260 Mongolian adults, aged between 18 and 64 years, who participated in one of three (2005, 2009, 2013) nationally representative cross-sectional surveys. Linear regression was used to estimate changes in mean WC over time, adjusted for age, sex, height and weight. We also estimated the age-standardised prevalence for four obesity classification categories (not obese; obese by WC only; obese by body mass index (BMI) only; obese by both BMI and WC) at each survey year. Results The estimated mean WC in 2009 and 2013, respectively, was 1.26 cm (95% CI: 0.35 to 2.17) and 1.88 cm (95% CI: 1.09 to 2.67) greater compared to 2005, after adjusting for age, sex, height and weight. Between 2005 and 2013, the age-standardised prevalence of those obese according to both BMI and WC increased from 8.0 to 13.6% for men and from 16.5 to 25.5% for women. During the same period, the percentage who were obese by WC only increased from 1.8 to 4.8% for men and from 16.5 to 26.8% for women. In contrast, the percentage who were obese by BMI only remained relatively stable (women: 2.4% in 2005 to 1.0% in 2013; men: 2.7% in 2005 to 4.0% in 2013). Conclusion Over the last decade, among Mongolian adults, there has been substantially greater increase in WC and the prevalence of abdominal obesity than would be expected from increases in weight. Women are at greater risk than men of being misclassified as not obese if obesity is defined using BMI only. Obesity should be monitored using WC in addition to BMI to ensure the prevalence of obesity is not underestimated.
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Affiliation(s)
- Oyun Chimeddamba
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Level 6, 99 Commercial Road, Melbourne, VIC 3004 Australia.,Deakin University, Geelong, Victoria, School of Health and Social Development, Faculty of Health, Melbourne, Australia
| | - Emma Gearon
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Level 6, 99 Commercial Road, Melbourne, VIC 3004 Australia.,Deakin University, Geelong, Victoria, School of Health and Social Development, Faculty of Health, Melbourne, Australia
| | - Samuel L Brilleman
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Level 6, 99 Commercial Road, Melbourne, VIC 3004 Australia.,Victorian Centre for Biostatistics (ViCBiostat), Melbourne, VIC Australia
| | - Enkhjargal Tumenjargal
- Department of Health Development, National Center of Public Health, Peace Avenue 17, Bayanzurkh District-3, Ulaanbaatar, Mongolia
| | - Anna Peeters
- Deakin University, Geelong, Victoria, School of Health and Social Development, Faculty of Health, Melbourne, Australia
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Maffetone PB, Rivera-Dominguez I, Laursen PB. Overfat and Underfat: New Terms and Definitions Long Overdue. Front Public Health 2017; 4:279. [PMID: 28097119 PMCID: PMC5206235 DOI: 10.3389/fpubh.2016.00279] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Accepted: 12/06/2016] [Indexed: 12/25/2022] Open
Abstract
For the first time in human history, the number of obese people worldwide now exceeds those who are underweight. However, it is possible that there is an even more serious problem-an overfat pandemic comprised of people who exhibit metabolic health impairments associated with excess fat mass relative to lean body mass. Many overfat individuals, however, are not necessarily classified clinically as overweight or obese, despite the common use of body mass index as the clinical classifier of obesity and overweight. The well-documented obesity epidemic may merely be the tip of the overfat iceberg. The counterpart to the overfat condition is the underfat state, also a common and dangerous health circumstance associated with chronic illness and starvation. Currently (and paradoxically), high rates of obesity and overweight development coexist with undernutrition in developing countries. Studies in cognitive linguistics suggest that accurate, useful, and unintimidating terminology regarding abnormal body fat conditions could help increase a person's awareness of their situation, helping the process of implementing prevention and simple remedies. Our contention is that promoting the terms "overfat" and "underfat" to describe body composition states to the point where they enter into common usage may help in creating substantive improvements in world health.
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Affiliation(s)
| | | | - Paul B. Laursen
- Sports Performance Research Institute New Zealand (SPRINZ), AUT University, Auckland, New Zealand
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17
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Dong B, Arnold LW, Peng Y, Wang Z. Ethnic differences in cardiometabolic risk among adolescents across the waist–height ratio spectrum: National Health and Nutrition Examination Surveys (NHANES). Int J Cardiol 2016; 222:622-628. [DOI: 10.1016/j.ijcard.2016.07.169] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 07/27/2016] [Indexed: 01/19/2023]
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Peeters A, Tanamas S, Gearon E, Al-Gindan Y, Lean MEJ. Beyond BMI: How to Capture Influences from Body Composition in Health Surveys. Curr Nutr Rep 2016. [DOI: 10.1007/s13668-016-0183-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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