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Loder AKF, van Poppel MNM. Associations of smart device apps with and without a perceived self-efficacy component in a physical activity context with BMI. J Health Psychol 2024:13591053241258254. [PMID: 38898618 DOI: 10.1177/13591053241258254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2024] Open
Abstract
Smart device apps can be used to promote physical activity, decrease sedentariness, or increase self-efficacy to get active in college students, possibly reducing their obesity risk. This study assessed associations of college students' smart device use with body mass index (BMI), expecting associations between physical activity parameters and self-efficacy with BMI, moderated by app type. In an online survey, app data of a week from student's devices, weight, height, physical activity, and self-efficacy to get active were collected from 120 students. Apps were categorized "physical activity," "physical activity with a self-efficacy component," or "unrelated." Use time of physical activity apps is not associated with BMI, while self-efficacy app time show negative and unrelated app time positive associations. Self-efficacy may be an important component in app design for obesity risk reduction of college students. Test economy was low, which is why future studies need to concentrate on better data extraction methods.
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Ashby-Thompson M, Heshka S, Anderson A, Pownall H, Laferrère B, Balasubramanyam A, Heymsfield SB, Wadden TA, Gallagher D. Long-term sustained effects of the Look AHEAD lifestyle intervention on body composition among adults with type 2 diabetes. Obesity (Silver Spring) 2024; 32:1093-1101. [PMID: 38741246 DOI: 10.1002/oby.24025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 05/16/2024]
Abstract
OBJECTIVE The objective of the study was to test whether there are sustained effects of the Look AHEAD intensive lifestyle intervention (ILI), versus diabetes support and education (DSE), on weight and body composition 12 to 16 years after randomization. METHODS Participants were a subset of enrollees in the Look AHEAD dual-energy x-ray absorptiometry substudy who completed the final visit, composed of men (DSE = 99; ILI = 94) and women (DSE = 134; ILI = 135) with type 2 diabetes and mean (SD) age 57.2 (6.4) years and BMI 34.9 (5.1) kg/m2 at randomization. Dual-energy x-ray absorptiometry measured total and regional fat and lean masses at randomization, at Years 1, 4, and 8, and at the final visit. Linear mixed-effects regressions were applied with adjustment for group, clinic, sex, age, race/ethnicity, and baseline body composition. RESULTS Weight and most body compartments were reduced by 2% to 8% (and BMI 4%) in ILI versus DSE in men but not women. ILI-induced loss of lean tissue did not show a lower percent lean mass versus DSE at 16 years after randomization. CONCLUSION ILI-related changes in weight, fat, and lean mass were detectable 12 to 16 years after randomization in men but, for unknown reasons, not in women. There was no evidence that the intervention led to a disproportionate loss of lean mass by the end of the study.
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Affiliation(s)
- Maxine Ashby-Thompson
- New York Nutrition Obesity Research Center, Columbia University, New York, New York, USA
- Division of Molecular Genetics, Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Stanley Heshka
- New York Nutrition Obesity Research Center, Columbia University, New York, New York, USA
| | - Andrea Anderson
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Henry Pownall
- The Methodist Hospital Research Institute, Houston, Texas, USA
| | - Blandine Laferrère
- New York Nutrition Obesity Research Center, Columbia University, New York, New York, USA
- Division of Endocrinology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Ashok Balasubramanyam
- Department of Medicine, Endocrinology, Diabetes and Metabolism, Baylor College of Medicine, Houston, Texas, USA
| | | | - Thomas A Wadden
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Dympna Gallagher
- New York Nutrition Obesity Research Center, Columbia University, New York, New York, USA
- Division of Endocrinology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Institute of Human Nutrition, Columbia University, New York, New York, USA
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Deng R, Li WQ, Li XX, Wei LM, Hu J, Leng JH, Dong B. Maternal weight and its association with risk of overweight in offspring: a trajectory analysis from a birth cohort in China. World J Pediatr 2024; 20:496-505. [PMID: 37389783 DOI: 10.1007/s12519-023-00736-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/21/2023] [Indexed: 07/01/2023]
Abstract
BACKGROUND Most studies on the association of maternal pregnancy weight with offspring weight trajectory have a short follow-up time. This study aimed to explore the associations of maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) with childhood weight trajectories in a 7-year birth cohort. METHODS A total of 946 mother-child pairs (467 boys and 479 girls) from a longitudinal birth cohort in Tianjin City, China, were included in this study, ranging from pregnancy to offspring at 7 years. The outcome variable was defined as overweight or not overweight in offspring at the last round. A group-based trajectory model was applied to identify childhood BMI trajectory groups. RESULTS Five discrete BMI trajectory groups were identified and characterized as constant underweight (25.2%), constant normal weight (42.8%), and high or increasing trajectory [at risk of overweight (16.9%), progressive overweight (11.0%) and progressive obesity (4.1%)]. Maternal prepregnancy overweight was associated with 1.72 (95% CI 1.14-2.60, P = 0.01) to 4.02 (95% CI 1.94-8.36, P < 0.001) times the risk of all high or increasing trajectory groups, and excessive GWG was related to groups at risk of overweight [relative risk ratio (RRR) 2.09, 95% CI 1.27-3.46, P = 0.004] and progressive obesity (RRR 3.33, 95% CI 1.13-9.79, P = 0.029). Children in all high or increasing trajectory groups were associated with greater overweight risk at the last round [risk ratios (RRs) ranged from 3.54 (95% CI 2.53-4.95, P < 0.001) to 6.18 (95% CI 4.05-9.42, P < 0.001)]. CONCLUSION Maternal prepregnancy overweight and excessive gestational weight gain were associated with increasing or high-level childhood body mass index trajectories as well as a greater risk of overweight at 7 years.
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Affiliation(s)
- Rui Deng
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China
| | - Wei-Qin Li
- Tianjin Women and Children's Health Center, No. 96 Guizhou Rd, Heping District, Tianjin, 300070, China
| | - Xing-Xiu Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China
| | - Liu-Mei Wei
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China
| | - Jie Hu
- Menzies Health Institute Queensland, Griffith University, Nathan, QLD, 4111, Australia
| | - Jun-Hong Leng
- Tianjin Women and Children's Health Center, No. 96 Guizhou Rd, Heping District, Tianjin, 300070, China.
| | - Bin Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
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Krukowski RA, Solomon E, Lang J, Stone E, You W, Burns RE, Copeland C, Bursac Z, Hare ME, Waters TM. Overweight/obesity, gestational weight gain, postpartum weight retention, and maternal/neonatal complications in the military. Obesity (Silver Spring) 2024; 32:900-910. [PMID: 38650523 PMCID: PMC11164557 DOI: 10.1002/oby.24016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 01/26/2024] [Accepted: 02/10/2024] [Indexed: 04/25/2024]
Abstract
OBJECTIVE The objective of this study was to examine the prevalence of overweight/obesity and excessive gestational weight gain (GWG) among military beneficiaries and to assess associations of these risk factors with maternal/neonatal complications and substantial postpartum weight retention (PPWR). METHODS We obtained data for 48,391 TRICARE beneficiaries who gave birth in 2018 or 2019 in the United States. We used logistic regression and ANOVA to examine relationships among overweight/obesity, GWG, maternal/neonatal complications, and substantial PPWR. RESULTS Most TRICARE beneficiaries (75%) had excessive GWG, and 42% had substantial PPWR. Dependents were less likely than active-duty women to have excessive GWG (odds ratio [OR] = 0.73, 95% CI: 0.60-0.88). Women with excessive GWG were three times more likely to have substantial PPWR (OR = 3.57, 95% CI: 3.14-4.06). Those with excessive GWG were more likely to have maternal/neonatal complications (e.g., pregnancy-induced hypertension, cesarean delivery). CONCLUSIONS Excessive GWG is frequent among TRICARE beneficiaries, particularly active-duty personnel, and is strongly associated with costly maternal/neonatal complications. Substantial PPWR is also common in this population, with excessive GWG as a key risk factor.
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Affiliation(s)
- Rebecca A Krukowski
- Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Erin Solomon
- Department of Psychology, University of Memphis, Memphis, Tennessee, USA
| | - Juan Lang
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, Kentucky, USA
| | | | - Wen You
- Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Rosemary Estevez Burns
- 59th Medical Wing, Clinical Health Psychology, Joint Base San Antonio, Lackland, Texas, USA
| | - Carol Copeland
- Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, Virginia, USA
- 59th Medical Wing, Clinical Health Psychology, Joint Base San Antonio, Lackland, Texas, USA
| | - Zoran Bursac
- Department of Biostatistics, Florida International University, Miami, Florida, USA
| | - Marion E Hare
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Teresa M Waters
- Augusta University, Institute for Public and Preventive Health, Augusta, Georgia, USA
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Zhao F, Zhao Q, Wang H, Wang K, Kong S, Ma P, Wang X. Weight changes from early to middle adulthood and cardiometabolic multimorbidity later in life among middle-aged and older adults: a retrospective cohort study from the NHANES 1999-2018. Front Endocrinol (Lausanne) 2024; 15:1306551. [PMID: 38440787 PMCID: PMC10910024 DOI: 10.3389/fendo.2024.1306551] [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: 10/04/2023] [Accepted: 01/29/2024] [Indexed: 03/06/2024] Open
Abstract
Background Weight gain in adulthood can influence the development of diabetes and cardiovascular diseases. It is speculated that weight gain is related to cardiometabolic multimorbility (CMM). This study was designed to examine the relationships between weight changes from early to middle adulthood and the risk of CMM. Methods Data of the National Health and Nutrition Examination Survey (NHANES) 1999-2018 cycles were analyzed in the present study. Weights at age 25 years and 10 years before recruitment were self-reported and were used to define five weight change patterns including stable normal, maximum overweight, obesity to non-obesity, non-obesity to obesity, and stable obesity patterns. Meanwhile, absolute weight changes were classified into five groups: weight loss≥ 2.5 kg, weight change within 2.5 kg, 2.5 kg≤ weight gain < 10.0 kg, 10.0 kg≤ weight gain < 20.0 kg, and weight gain≥ 20.0 kg. CMM was defined as the coexistence of two or three of diabetes, coronary heart disease (CHD), and stroke. Results A total of 25,994 participants were included. Across adulthood, compared to stable normal weight, maximal overweight, obesity to non-obesity, non-obesity to obesity, and stable obesity were consistently associated with increased risks of diabetes, CHD, and CMM. For instance, stable obesity was respectively related to 358.0% (HR: 4.58, 95% CI: 4.57, 4.58), 88.0% (HR: 1.88, 95% CI: 1.88, 1.88), and 292.0% (HR: 3.92, 95% CI: 3.91, 3.92) higher risks of diabetes, CHD, and CMM. Meanwhile, any account of weight loss and gain was linked to higher risks of diabetes, CHD, and CMM than weight change within 2.5 kg. However, participants with maximum overweight had a decreased incidence of stroke (HR: 0.85, 95% CI: 0.85, 0.86), and weight loss ≥ 2.5 kg and weight gain ≥ 2.5 and <20 kg were also related to a lower risk of stroke. J-shaped or U-shaped associations of absolute weight changes with the risks of diabetes, CHD, and CMM were observed. Conclusions Maintaining a stable normal weight can benefit more from the prevention of diabetes, CHD, and CMM. Both weight gain and loss across adulthood were accompanied by increased risks of diabetes, CHD, and CMM.
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Affiliation(s)
| | | | | | | | | | | | - Xin Wang
- Department of Cardiology, Henan Provincial Chest Hospital, Zhengzhou, China
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Gong X, Zeng X, Fu P. Association Between Weight Change During Adulthood and Chronic Kidney Disease: Results from a National Survey 2011-2018. Diabetes Metab Syndr Obes 2023; 16:3817-3826. [PMID: 38028993 PMCID: PMC10680485 DOI: 10.2147/dmso.s435886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 11/12/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose This study aimed to investigate the intricate relationship between weight change patterns and the onset of chronic kidney disease (CKD). Although obesity is recognized as a predisposing factor for CKD, the dynamics of weight fluctuation and its impact on CKD development are not well-defined. By analyzing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2011 to 2018, we sought to elucidate the association between weight trajectories and CKD risk. Patients and Methods We included participants aged ≥40 years, employing body mass index (BMI) measurements at three life stages-baseline, age 25, and a decade preceding baseline-to categorize weight change patterns. Logistic regression was employed to evaluate the association of these patterns with CKD onset, adjusting for potential confounders. Results The study encompassed 12,284 participants, with 2893 individuals diagnosed with CKD. Transitioning from normal weight to obesity and staying obese throughout adulthood were found to increase the risk of developing CKD. These associations remained consistent after adjusting for covariates but were statistically insignificant after adjusting for comorbidities. Notably, individuals transitioning from obesity to normal weight from age 25 to baseline and from 10 years before baseline to baseline demonstrated significant correlations with CKD but not between age 25 and 10 years before baseline. Conclusion Obesity, weight gain throughout adulthood, and weight loss in middle-to-late adulthood are associated with an increased risk of CKD. This emphasizes the importance of long-term weight change patterns and maintaining a healthy weight throughout adulthood.
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Affiliation(s)
- Xuemei Gong
- Department of Nephrology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
- Division of Nephrology, Kidney Research Institute, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Xiaoxi Zeng
- Department of Nephrology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Ping Fu
- Department of Nephrology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
- Division of Nephrology, Kidney Research Institute, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
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Sun X, Du T. Trends in weight change patterns across life course among US adults, 1988-2018: population-based study. BMC Public Health 2023; 23:2168. [PMID: 37932673 PMCID: PMC10626664 DOI: 10.1186/s12889-023-17137-x] [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: 04/13/2023] [Accepted: 11/02/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND To examine trends in weight change patterns from young adulthood through midlife to late adulthood and their sex and racial/ethnic disparities among US adults from 1988 to 2018. METHODS A total of 48,969 participants from the National Health and Nutrition Examination Survey 1988-1994 and 2001-2018 were included. RESULTS The age-adjusted prevalence of stable non-obesity between young adulthood and midlife declined significantly from 84.1% (95 CI, 82.9-85.3%) in 1988-1994 to 68.7% (67.1-70.2%) in 2013-2018, and between midlife and late adulthood from 71.2% (69.2-73.1%) to 52.4% (50.5-54.2%). The magnitude of increase in the prevalence of weight gain from young adulthood to midlife (from 10.8% [9.9-11.6%] in 1988-1994 to 21.2% [20-22.3%] in 2013-2018; P < 0.001 for trend) was greater than that from midlife to late adulthood (from 14.1% [12.9-15.3%] to 17.2% [16.2-18.1%]; P = 0.002 for trend). The magnitude of increase in the prevalence of stable obesity from young adulthood to midlife (from 3.9% [3.1-4.8%] in 1988-1994 to 9.2% [8.2-10.3%] in 2013-2018; P < 0.001 for trend) was smaller than that from midlife to late adulthood (from 11.2% [10.1-12.2%] to 24.8% [23.3-26.3%]; P < 0.001 for trend). The declining trends in the prevalence of stable non-obesity and increasing trends in the prevalence of weight gain and stable obesity from young adulthood through midlife to late adulthood were also observed for all sex and race/ethnicity subgroups. The magnitude of decrease in the prevalence of stable non-obesity, and the magnitude of increase in the prevalence of weight gain from young adulthood through midlife to late adulthood were greater in men than in women (all P for interaction < 0.01). Weight gain patterns for those aged ≥ 65 years were substantially different from the younger age groups. CONCLUSIONS More young people born in later years are encountering obesity and accumulate greater obesity exposure across their lives than young people born in earlier years.
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Affiliation(s)
- Xingxing Sun
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Tingting Du
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, Hubei, China.
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Cao Q, Li M, Qin G, Yan L, He J, Xu M, Xu Y, Wang T, Chen Y, Wang S, Lin H, Zhao Z, Gao Z, Zeng T, Hu R, Yu X, Chen G, Su Q, Mu Y, Chen L, Tang X, Wan Q, Wang G, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Shi L, Ning G, Wang W, Lu J, Bi Y. Early adulthood weight change, midlife "Life's essential 8" health status and risk of cardiometabolic diseases: a chinese nationwide cohort study. Nutr Metab (Lond) 2023; 20:48. [PMID: 37915057 PMCID: PMC10621175 DOI: 10.1186/s12986-023-00765-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 10/04/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND The association between weight change during early adulthood and cardiometabolic diseases remains uncertain in Chinese population. Whether the association varies with comprehensive cardiovascular health (CVH) in midlife assessed by "Life's Essential 8" has not been characterized. We aim to examine the associations of early adulthood weight change and midlife "Life's Essential 8" CVH status with cardiometabolic outcomes in a Chinese cohort. METHODS The study participants were from the China Cardiometabolic Disease and Cancer Cohort (4 C) Study. This analysis included 72,610 middle-aged and older participants followed for a median of 3.6 years. At baseline, the participants recalled body weight at age 20 and 40 years, and we calculated change in weight and BMI between 20 and 40 years of age. Health behaviors information in "Life's Essential 8" was collected by questionnaire, and health factors were measured in the study center. During follow-up, we ascertained incident cardiovascular events based on medical records, and diagnosed incident diabetes according to the American Diabetes Association 2010 criteria. RESULTS 72,610 study participants were included with a mean age of 56.0 ± 8.8 years and 29% of them were males. Weight gain of more than 10 kg between 20 and 40 years of age was associated with 22% increased risk of incident cardiovascular events (HR: 1.22; 95%CI: 1.04-1.43) and 38% increased risk of diabetes (HR: 1.38; 95%CI: 1.25-1.53) compared to stable weight. Besides, the association of weight gain more than 10 kg in early adulthood with cardiometabolic risk was even stronger in those with low CVH score in midlife (HR: 2.44; 95%CI: 2.01-2.97 for incident cardiovascular events; HR: 2.20; 95%CI: 1.90-2.55 for incident diabetes) or with few ideal cardiovascular health metrics in midlife. CONCLUSIONS Our study indicated that weight gain in early adulthood was associated with significantly increased risk of cardiometabolic diseases. And the association could be stronger in those with poor CVH profiles in midlife. These findings confirmed the significance of weight management during early adulthood and suggested that individuals who experienced substantial weight gain in early life should be encouraged to maintain good CVH status in Chinese population.
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Grants
- 21QA1408100 Shanghai Rising-Star Program
- 2022ZD0162102 National Key Research and Development Program of China
- 81970728, 82022011, 82088102, 91857205, 81930021 National Natural Science Foundation of China
- 81970728, 82022011, 82088102, 91857205, 81930021 National Natural Science Foundation of China
- 81970728, 82022011, 82088102, 91857205, 81930021 National Natural Science Foundation of China
- 81970728, 82022011, 82088102, 91857205, 81930021 National Natural Science Foundation of China
- 22Y31900300 Shanghai Municipal People's Government
- Shanghai Municipal People’s Government
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Affiliation(s)
- Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, USA
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Qing Su
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiming Mu
- Chinese people's Liberation Army General Hospital, Beijing, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Lixin Shi
- Guiqian International General Hospital, Guiyang, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui-Jin 2nd Road, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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9
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Jin C, Tooth LR, Xu X, Mishra GD. Is being childless associated with a woman's risk of overweight and obesity? Results from a national longitudinal study. Int J Obes (Lond) 2023; 47:841-847. [PMID: 37369781 DOI: 10.1038/s41366-023-01329-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 05/11/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023]
Abstract
AIM To examine the association between motherhood status (mothers, voluntarily childless, involuntarily childless) and overweight and obesity over 22 years. METHODS A total of 4092 women aged 18-23 years were followed from 1996 to 2018. Motherhood status was defined by women's reports on their fertility, attempts to conceive, use of in vitro fertilisation and fertility hormones, and number of biological children. Associations between motherhood status and overweight and obesity were examined using generalised estimating equations models, adjusting for socio-demographic characteristics, lifestyle factors, depressive symptoms, early life factors, and polycystic ovary syndrome (PCOS). RESULTS At age 40-45 years, 12% of women were voluntarily childless and 5% were involuntarily childless. The prevalence of overweight and obesity increased with age and women who were voluntarily or involuntarily childless had higher prevalence of obesity than mothers in all surveys. After adjusting for covariates, compared with mothers, women who were voluntarily childless had higher odds of being overweight (odds ratio [OR], 95% confidence interval [CI]: 1.29, 1.09-1.52) and obese (OR, 95% CI: 1.65, 1.29-2.12). Involuntary childlessness was not associated with being overweight (OR, 95% CI: 1.05, 0.82-1.33), and its association with obesity was attenuated after adjusting for PCOS in the final model (OR, 95% CI: 1.40, 0.99-1.98). CONCLUSIONS Around one in nine Australian women remained voluntarily childless by their late reproductive years. On average, they had higher odds of being overweight and obese than mothers, suggesting that overweight and obesity prevention programs should consider tailoring their advice by motherhood status.
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Affiliation(s)
- Chuyao Jin
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia.
| | - Leigh R Tooth
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
| | - Xiaolin Xu
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Gita D Mishra
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
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10
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Dos Santos Pereira DB, Conde WL. Overweight and obesity in adulthood, sociodemographic factors, lifestyle, and the early burden of noncommunicable diseases among Americans: NHANES 2007-2018. Am J Hum Biol 2023; 35:e23905. [PMID: 37067342 DOI: 10.1002/ajhb.23905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 04/03/2023] [Accepted: 04/04/2023] [Indexed: 04/18/2023] Open
Abstract
OBJECTIVES To evaluate the association between nutritional status in early adulthood and the burden of noncommunicable diseases (NCDs); To evaluate the influence of sociodemographic factors and lifestyle on the outcomes of BMI kg/m2 ≤24.9, ≥25.0, and ≥30.0; to estimate the population attributable fraction (PAF) to BMI elevated at 25 years old in the burden of NCDs in American adults. METHODS We used data from 15 721 American adults participating in the National Health and Nutrition Examination Survey from 2007 to 2018. The Hazard Ratio (HR), Incidence Rate Ratio (IRR), and 95% confidence intervals (CI) were estimated in the proportional risk regression models of Cox (entire population) and Poisson (restricted to non-patients), respectively. The proportionality of the risk between the burden of NCDs and BMI at 25 years old was drawn by the Kaplan-Meier curve, and the PAF was calculated. All analyses were adjusted taking into account the sample weights. RESULTS Health disparities (sex, age, race/ethnicity, education, poverty index, and education level), and lifestyle (physical activity, smoking, and alcohol consumption) influenced the current nutritional status. Cumulative survival in overweight and obese groups decreased considerably over time (p < .0001). Being overweight and obese in adulthood may increase the risk of early NCDs (HR: 1.68, 95% CI: 1.54-1.84 and HR: 2.87, 95% CI: 2.56-3.21, respectively). About 22.72% (95% CI: 19.99-25.36, p < .001) of the burden NCDs could have been avoided if overweight at age 25 had been prevented. CONCLUSIONS Monitoring weight change from young adulthood can provide a sensitive and useful clinical measure for early detection of adverse trends in NCDs risk.
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Affiliation(s)
- Débora Borges Dos Santos Pereira
- School of Public Health. Department of Nutrition, Postgraduate Program in Nutrition in Public Health, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Wolney Lisboa Conde
- School of Public Health. Department of Nutrition, Postgraduate Program in Nutrition in Public Health, Universidade de São Paulo, São Paulo, São Paulo, Brazil
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11
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Ushula TW, Mamun A, Darssan D, Wang WYS, Williams GM, Whiting SJ, Najman JM. Dietary patterns and young adult body mass change: A 9-year longitudinal study. Eur J Nutr 2023; 62:1657-1666. [PMID: 36763149 DOI: 10.1007/s00394-023-03101-3] [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: 05/20/2022] [Accepted: 01/23/2023] [Indexed: 02/11/2023]
Abstract
PURPOSE While excessive weight gain is highest during young adulthood, the extent to which specific dietary patterns are associated with changes in measures of body mass in this course of life remains unknown. We aimed to examine the associations of dietary patterns at 21 years with changes in body weight and body mass index (BMI) between 21 and 30 years. METHODS We used data on young adults from a long-running birth cohort in Australia. Western and prudent dietary patterns were identified applying principal component analysis to 33 food groups obtained by a food frequency questionnaire at 21 years. Body weight and height were measured at 21 and 30 years. Multivariable regression models, using generalized estimating equations, were adjusted for concurrent changes in sociodemographic and lifestyle variables in evaluating the effect of identified dietary patterns on changes in weight and BMI over time. RESULTS In the fully adjusted model, young adults in the highest tertile of the Western pattern had a mean weight gain of 9.9 (95% CI 8.5, 11.3) kg compared to those in the lowest that had a mean weight gain of 7.1 (95% CI 5.6, 8.5) kg, P-for linear trend = 0.0015. The corresponding values for mean gains in BMI were 3.1 (95% CI 2.7, 3.6) kg/m2 for young adults in the highest tertile compared to 2.4 (95% CI 1.9, 2.9) kg/m2 for those in lowest, P-for linear trend = 0.0164. There was no evidence of a significant association between the prudent pattern and mean changes in each outcome over time in this study. CONCLUSIONS The findings of the current study show that greater adherence to the Western diet at 21 years was positively associated with increases in body weight and BMI from 21 to 30 years of age, whereas the prudent diet had no significant association with these outcomes. The findings provide evidence that the adverse effects of the Western diet on weight gain in young adulthood could partly be prevented through optimising diet in the early course of life.
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Affiliation(s)
- Tolassa W Ushula
- School of Public Health, Faculty of Medicine, The University of Queensland, 266 Herston Rd, Herston, QLD, 4006, Australia.
- Nutrition and Dietetics Department, Faculty of Public Health, Jimma University, Jimma, Ethiopia.
| | - Abdullah Mamun
- UQ Poche Centre for Indigenous Health, Faculty of Health and Behavioural Sciences, The University of Queensland, 74 High Street, Toowong, QLD, 4066, Australia
- The ARC Centre of Excellence for Children and Families Over the Life Course, The University of Queensland, 80 Meiers Road, Indooroopilly, QLD, 4068, Australia
| | - Darsy Darssan
- School of Public Health, Faculty of Medicine, The University of Queensland, 266 Herston Rd, Herston, QLD, 4006, Australia
| | - William Y S Wang
- Faculty of Medicine, The University of Queensland, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Gail M Williams
- School of Public Health, Faculty of Medicine, The University of Queensland, 266 Herston Rd, Herston, QLD, 4006, Australia
| | - Susan J Whiting
- College of Pharmacy and Nutrition, University of Saskatchewan, 107 Wiggins Rd, Saskatoon, SK, Canada
| | - Jake M Najman
- School of Public Health, Faculty of Medicine, The University of Queensland, 266 Herston Rd, Herston, QLD, 4006, Australia
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12
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Gong HJ, Tang X, Chai YH, Qiao YS, Xu H, Patel I, Zhang JY, Simó R, Zhou JB. Relationship Between Weight-Change Patterns and Cognitive Function: A Retrospective Study. J Alzheimers Dis 2023; 91:1085-1095. [PMID: 36565117 DOI: 10.3233/jad-220788] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Obesity has been linked to cognitive impairment. However, how changes in body mass index (BMI) over the life course influence cognitive function remains unclear. OBJECTIVE The influence of distinct weight-change patterns from young adulthood to midlife and late adulthood on cognitive function in older adults was explored. METHODS A total of 5,809 individuals aged≥60 years were included and categorized into four groups on the basis of BMI change patterns. Cognitive function was assessed using four cognition tests in the baseline survey. The relationship between the weight-change patterns and cognition was evaluated using regression models. RESULTS In comparison with participants who remained at non-obese, those moving from the non-obese to obese weight-change pattern from young (25 years of age) to middle adulthood showed lower Digit Symbol Substitution Test (DSST) scores (β= -1.28; 95% confidence interval [CI]: -2.24 to -0.32). A non-obese to obese change pattern from age 25 years of age to 10 years before baseline was associated with a higher risk of DSST impairment (odds ratio = 1.40; 95% CI: 1.09 to 1.79). In comparison with participants whose heaviest weight was recorded after 60 years of age, those with the heaviest weight between 18 and 40 years of age had lower DSST scores (β= -1.46; 95% CI: -2.77 to -1.52). CONCLUSION Our results suggest that the transition from the non-obese to obese category in early adulthood and appearance of the heaviest weight between 18 and 40 years of age are associated with lower cognitive function in later life.
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Affiliation(s)
- Hong-Jian Gong
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Xingyao Tang
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yin-He Chai
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yu-Shun Qiao
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Hui Xu
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ikramulhaq Patel
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jin-Yan Zhang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Rafael Simó
- Derpartment of Endocrinology and Nutrition, Vall d'Hebron University Hospital, Autonomous University, Barcelona, Spain.,Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ICSIII), Madrid, Spain
| | - Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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13
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Cao X, Yang G, Li X, Fu J, Mohedaner M, Danzengzhuoga, Høj Jørgensen TS, Agogo GO, Wang L, Zhang X, Zhang T, Han L, Gao X, Liu Z. Weight change across adulthood and accelerated biological aging in middle-aged and older adults. Am J Clin Nutr 2023; 117:1-11. [PMID: 36789928 DOI: 10.1016/j.ajcnut.2022.10.020] [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: 05/14/2022] [Revised: 10/21/2022] [Accepted: 10/28/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Little is known regarding the association between weight change and accelerated aging. OBJECTIVES This study aimed to estimate the influence of weight change across adulthood on biological aging acceleration in middle-aged and older adults in the United States. METHODS We used data of 5553 adults (40-84 y) from the National Health and Nutrition Examination Survey 1999-2010. Weight change patterns (i.e., stable normal, maximal overweight, obese to nonobese, nonobese to obese, and stable obese) and absolute weight change groups across adulthood (i.e., from young to middle adulthood, young to late adulthood, and middle to late adulthood) were defined. A biological aging measure (i.e., phenotypic age acceleration [PhenoAgeAccel]) at late adulthood was calculated. Survey analysis procedures with the survey weights were performed. RESULTS Across adulthood, maximal overweight, nonobese to obese, and stable obesity were consistently associated with higher PhenoAgeAccel. For instance, from young to middle adulthood, compared with participants who had stable normal weight, participants experiencing maximal overweight, moving from the nonobese to obese, and maintaining obesity had 1.71 (standard error [SE], 0.21; P < 0.001), 3.62 (SE, 0.28; P < 0.001), and 6.61 (SE, 0.58; P < 0.001) higher PhenoAgeAccel values, respectively. From young to middle adulthood, relative to absolute weight loss or gain of <2.5 kg, weight loss of ≥2.5 kg was marginally associated with lower PhenoAgeAccel (P = 0.054), whereas an obese to nonobese pattern from middle to late adulthood was associated with higher PhenoAgeAccel (P < 0.001). CONCLUSIONS Maximal overweight, nonobese to obese, and stable obesity across adulthood, as well as an obese to nonobese pattern from middle to late adulthood, were associated with accelerated biological aging. In contrast, weight loss from young to middle adulthood was associated with decelerated biological aging. The findings highlight the potential role of weight management across adulthood for aging. Monitoring weight fluctuation may help identify the population at high risk of accelerated aging.
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Affiliation(s)
- Xingqi Cao
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang, China
| | - Gan Yang
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang, China
| | - Xueqin Li
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang, China
| | - Jinjing Fu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang, China
| | - Mayila Mohedaner
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang, China
| | - Danzengzhuoga
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang, China
| | - Terese Sara Høj Jørgensen
- Section of Social Medicine, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Liang Wang
- Department of Public Health, Robbins College of Human Health and Sciences, Baylor University, Waco, TX, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Shandong, China
| | - Liyuan Han
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Zhejiang, China; Hwa Mei Hospital, University of Chinese Academy of Sciences, Zhejiang, China
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Fudan University, Shanghai, China
| | - Zuyun Liu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang, China.
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14
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Lei L, Changfa W, Ting Y, Xiaoling Z, Yaqin W. Metabolically healthy transition and its association with body size change patterns among different adult age groups. Diabetes Res Clin Pract 2022; 192:110108. [PMID: 36202384 DOI: 10.1016/j.diabres.2022.110108] [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: 06/09/2022] [Revised: 09/04/2022] [Accepted: 09/23/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To explore the metabolically healthy (MH) to metabolically unhealthy (MU) transition and its association with body size change patterns according to age. METHODS In total, 12,910 MH subjects were evaluated in 2013 and reevaluated in 2020. A MH state was defined as a score ≤ 1, and a MU state was defined as a score > 1 on the National Cholesterol Education Program-Adult Treatment Panel III criteria. RESULTS Approximately 27.0% of MH individuals converted to MU status over the follow-up. Compared with young adults, middle adulthood individuals had a 1.33-fold (95% CI: 1.21-1.46) and late adulthood individuals had a 1.55-fold (95% CI: 1.41-1.70) risk of transition. The body mass index (BMI)/waist circumference (WC)-value change was positively associated with metabolic deterioration; the association weakened with age. With stable normal body size (defined by BMI) as a reference, changing phenotype categories of maximum overweight [hazard ratio (HR): 1.75; 95% CI: 1.56-1.95], non-obesity to general obesity (HR: 2.96; 95% CI: 2.47-3.54) and stable general obesity (HR: 2.44; 95% CI: 1.92-3.10) conferred a higher risk of metabolic deterioration. CONCLUSIONS MH status is a transient state, especially in late and middle adulthood. Individuals transitioning to an obese phenotype should receive attention for concomitant metabolic deterioration.
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Affiliation(s)
- Liu Lei
- Health Management Center, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan 410013, China
| | - Wang Changfa
- General Surgery Department, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan 410013, China
| | - Yuan Ting
- Health Management Center, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan 410013, China
| | - Zhu Xiaoling
- Health Management Center, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan 410013, China
| | - Wang Yaqin
- Health Management Center, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan 410013, China.
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15
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Xing Z, Chai X. Changes in fat mass and lean body mass and outcomes in type 2 diabetes mellitus. Intern Emerg Med 2022; 17:1073-1080. [PMID: 35106709 DOI: 10.1007/s11739-021-02916-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 12/16/2021] [Indexed: 11/05/2022]
Abstract
Previous studies have found that fat mass and lean body mass may act differently on the prognosis in patients type 2 diabetes mellitus (T2DM). However, the change of fat mass and lean body mass on prognosis in T2DM patients has not yet been investigated. We performed a Post hoc analysis of data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study. Cox proportional hazards models were used to study the relationship between tertiles of the change trend in lean body mass index (LBMI, kg/m2/year) or fat mass index (FMI, kg/m2/year) and major cardiovascular adverse events (MACEs) and all cause mortality. Nine thousand, one hundred seventy-six T2DM patients with a mean follow-up of 9.52 ± 1.89 years were included in our study. The mean change in FMI per year was 0.10 ± 0.48 kg/m2. The mean change in LBMI per year was 0.05 ± 0.38 kg/m2. Normal weight patients had highest FMI/LBMI change; severely obese patients had lowest FMI/LBMI change. A U-shaped relationship was found between the change in FMI/LBMI and all cause mortality. A flat U-shaped relationship was also noted between the change in FMI or LBMI and MACEs. Compared with the second tertile, the first and third tertiles of the change in FMI (HR: 1.18, 95% CI 1.03-1.36; HR: 1.34, 95% CI 1.16-1.54, respectively)/LBMI (HR: 1.24, 95% CI 1.08-1.43; HR: 1.30, 95% CI 1.12-1.50, respectively) had higher all cause mortality; the third tertile of the change in FMI/LBMI showed a marginal increase of MACEs (HR: 1.15, 95% CI 1.01-1.32; HR: 1.17, 95% CI 1.02-1.33, respectively); sensitivity analysis and subgroup analysis showed these associations were not robust. Both lower and larger change in FMI or LBMI are associated with increased all cause mortality compared with the median change among patients with T2DM. Further study is needed to determine whether increased FMI or LBMI increases the risk of MACEs.Trial registration: clinicaltrials.gov., No. NCT00000620.
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Affiliation(s)
- Zhenhua Xing
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, 410011, China
- Emergency Medicine and Difficult Diseases Institute, Central South University, Changsha, 410011, China
| | - Xiangping Chai
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, 410011, China.
- Emergency Medicine and Difficult Diseases Institute, Central South University, Changsha, 410011, China.
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Aronne LJ, Anderson JE, Sannino A, Chiquette E. Recent advances in therapies utilizing superabsorbent hydrogel technology for weight management: A review. Obes Sci Pract 2022; 8:363-370. [PMID: 35664250 PMCID: PMC9159556 DOI: 10.1002/osp4.574] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 11/12/2021] [Accepted: 11/17/2021] [Indexed: 11/07/2022] Open
Abstract
Long‐term therapeutic benefit of treatments for weight management in patients with overweight (also termed preobesity) or obesity may be limited by variable safety, tolerability, and efficacy profiles, and patient adherence to treatment regimens. There is a medical need for nonsystemic treatments that promote weight loss in patients with overweight or early obesity. This report reviews four different approaches of utilizing superabsorbent hydrogel technology for weight management at varying stages of preclinical and clinical development. The first is a nonsystemic, oral superabsorbent hydrogel created from naturally derived building blocks used in foods (cellulose‐based), designed to mix homogenously with and change the properties of the ingested meal throughout the gastrointestinal tract (stomach and small intestine). This is the first‐in‐class to be cleared by the Food and Drug Administration (FDA) to aid in weight‐management for adults with BMI of 25–40 kg/m2 in conjunction with diet and exercise. In contrast, the other three approaches in development utilize superabsorbent hydrogel technologies to support an intragastric balloon‐like structure, solely occupying space in the stomach and displacing the meal: (1) a pufferfish‐inspired device; (2) Epitomee, a pH‐sensitive self‐expanding hydrogel device; and (3) a light‐degradable hydrogel used to control balloon deflation. These new approaches that utilize superabsorbent hydrogel technology offer a wide range of clinical applicability and have the potential to broaden the weight management treatment landscape. Over time, increasing the number of patients treated with superabsorbent hydrogel technologies will provide important information on long‐term efficacy and safety.
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Affiliation(s)
- Louis J. Aronne
- Division of Endocrinology, Diabetes, & Metabolism Comprehensive Weight Control Center Weill Cornell Medicine New York New York USA
| | | | - Alessandro Sannino
- Gelesis, Inc. Boston Massachusetts USA
- Department of Engineering for Innovation University of Salento Lecce Italy
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Bonus ML, McQueen DB, Ruderman R, Hughes L, Merrion K, Maisenbacher MK, Feinberg E, Boots C. Relationship between paternal factors and embryonic aneuploidy of paternal origin. Fertil Steril 2022; 118:281-288. [DOI: 10.1016/j.fertnstert.2022.04.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 04/13/2022] [Accepted: 04/13/2022] [Indexed: 12/13/2022]
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Liu M, Zhang Z, Zhou C, Ye Z, He P, Zhang Y, Li H, Liu C, Qin X. Predicted fat mass and lean mass in relation to all-cause and cause-specific mortality. J Cachexia Sarcopenia Muscle 2022; 13:1064-1075. [PMID: 35068076 PMCID: PMC8978015 DOI: 10.1002/jcsm.12921] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 11/25/2021] [Accepted: 12/20/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Studies on the prospective association of body composition with mortality in US general populations are limited. We aimed to examine this association by utilizing data from the National Health and Nutrition Examination Survey (NHANES), a representative sample of US adults, linked with data from the National Death Index. METHODS We analysed data of NHANES 1988-1994 and 1999-2014, with 55 818 participants [50.6% female, baseline mean age: 45.0 years (SE, 0.2)]. Predicted fat mass and lean mass were calculated using the validated sex-specific anthropometric prediction equations developed by the NHANES based on individual age, race, height, weight, and waist circumference. Body composition and other covariates were measured at only one time point. Multivariable Cox regression was used to investigate the associations of predicted fat mass and lean mass with overall and cause-specific mortality, adjusting for potential confounders. Interactions between age and body composition on mortality were examined with likelihood ratio testing. RESULTS Mean predicted fat mass was 24.1 kg [95% confidence interval (CI): 23.9-24.3) for male participants and 29.9 kg (95% CI: 29.6-30.1) for female participants, while mean predicted lean mass was 59.3 kg (95% CI: 59.1-59.5) for male participants and 41.7 kg (95% CI: 41.5-41.8) for female participants. During a median period of 9.7 years from the survey, 10 408 deaths occurred. When predicted fat and lean mass were both included in the model, predicted fat mass showed a U-shaped association with all-cause mortality, with significantly higher risk at two ends: Quintile 1 (HR, 1.17; 95% CI: 1.05-1.31), Quintile 2 (HR, 1.14; 95% CI: 1.04-1.26) and Quintile 5 (HR, 1.37; 95% CI: 1.12-1.68) compared with Quintile 3. In contrast, predicted lean mass showed a L-shaped association with all-cause mortality, with higher mortality in those with lower lean mass: Quintile 1 (HR, 1.64; 95% CI: 1.46-1.83) and Quintile 2 (HR, 1.29; 95% CI: 1.18-1.42) compared with Quintile 3. Similar results were found for cardiovascular, cancer, and respiratory cause-specific mortality. Age was a significant modifier: There was a monotonic positive association of predicted fat mass with mortality in younger participants (<60 years), but an approximate J-shaped association in older participants (≥60 years) (P interaction <0.001); there was a stronger inverse association between predicted lean mass and mortality in older participants (≥60) compared with those <60 years (P interaction <0.001). CONCLUSIONS In this US general population, predicted fat mass and lean mass were independent predictors for overall and cause-specific mortality. Age was a significant modifier on the associations.
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Affiliation(s)
- Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Zhuxian Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Huan Li
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Chengzhang Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
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Effects of weight change on all causes, digestive system and other causes mortality in Southern Italy: a competing risk approach. Int J Obes (Lond) 2022; 46:113-120. [PMID: 34522001 DOI: 10.1038/s41366-021-00954-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 07/30/2021] [Accepted: 08/18/2021] [Indexed: 02/08/2023]
Abstract
Weight change is associated with all causes of death, cardiovascular, and cancer mortality and a heterogeneous group of other causes of death. We aimed to estimate the effect of weight change on all causes and cause-specific mortality in a cohort with a high prevalence of deaths due to diseases of the digestive system.MethodsIn this prospective cohort study, 2230 subjects aged 30 to 50 years were examined. The study consisted of a 32-year longitudinal study period (January 1985 to December 2017) and mortality follow-up. Outcomes were mortality from all causes and deaths from gastrointestinal disease. Root Mean Squared Error (RMSE) was evaluated to capture individual residual variation in Body Mass Index (BMI) after adjustment for baseline BMI, and the relationship of residual variation with mortality was calculated as cumulative incidence function and cause-specific hazard (CSH) rate.ResultsIn total, 793 participants died during the follow-up, 96 of them due to Digestive system causes. Magnitude of residual variation weight in the last quintile was associated with all-cause mortality (relative risk, 2.00; 95% CI, 1.54-2.59) and Digestive system causes (relative risk, 3.82; 95% CI, 1.86-7.81).ConclusionThe findings suggest an association between weight change and gastrointestinal disease mortality. Epidemiological works studying the correlation between weight change and mortality should consider this aspect.
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20
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Krefman AE, Labarthe D, Greenland P, Pool L, Aguayo L, Juonala M, Kähönen M, Lehtimäki T, Day RS, Bazzano L, Muggeo VMR, Van Horn L, Liu L, Webber LS, Pahkala K, Laitinen TT, Raitakari O, Lloyd-Jones DM, Allen NB. Influential Periods in Longitudinal Clinical Cardiovascular Health Scores. Am J Epidemiol 2021; 190:2384-2394. [PMID: 34010956 PMCID: PMC8561125 DOI: 10.1093/aje/kwab149] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 05/06/2021] [Accepted: 05/14/2021] [Indexed: 01/08/2023] Open
Abstract
The prevalence of ideal cardiovascular health (CVH) among adults in the United States is low and decreases with age. Our objective was to identify specific age windows when the loss of CVH accelerates, to ascertain preventive opportunities for intervention. Data were pooled from 5 longitudinal cohorts (Project Heartbeat!, Cardiovascular Risk in Young Finns Study, The Bogalusa Heart Study, Coronary Artery Risk Development in Young Adults, Special Turku Coronary Risk Factor Intervention Project) from the United States and Finland from 1973 to 2012. Individuals with clinical CVH factors (i.e., body mass index, blood pressure, cholesterol, blood glucose) measured from ages 8 to 55 years were included. These factors were categorized and summed into a clinical CVH score ranging from 0 (worst) to 8 (best). Adjusted, segmented, linear mixed models were used to estimate the change in CVH over time. Among the 18,343 participants, 9,461 (52%) were female and 12,346 (67%) were White. The baseline mean (standard deviation) clinical CVH score was 6.9 (1.2) at an average age of 17.6 (8.1) years. Two inflection points were estimated: at 16.9 years (95% confidence interval: 16.4, 17.4) and at 37.2 years (95% confidence interval: 32.4, 41.9). Late adolescence and early middle age appear to be influential periods during which the loss of CVH accelerates.
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Affiliation(s)
- Amy E Krefman
- Correspondence to Amy Krefman, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL 60611 (e-mail: )
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21
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Martin JC, Awoke MA, Misso ML, Moran LJ, Harrison CL. Preventing weight gain in adults: A systematic review and meta-analysis of randomized controlled trials. Obes Rev 2021; 22:e13280. [PMID: 34028958 DOI: 10.1111/obr.13280] [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: 12/17/2020] [Revised: 04/15/2021] [Accepted: 04/15/2021] [Indexed: 12/22/2022]
Abstract
Weight gain prevention is a global public health priority to address escalating adiposity in adults. This review evaluates the efficacy of weight gain prevention trials targeting adults aged 18-50 years and adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Trials of any duration from inception to May 2020 that evaluated a weight gain prevention intervention (using either prescriptive diet, prescriptive physical activity, prescriptive diet, and/or physical activity or non-prescriptive lifestyle) and included weight or body mass index (weight [kg]/height [m2 ]) were eligible. Twenty-nine trials across 34 publications (participants n = 37,407) were included. Intervention resulted in less weight gain compared with controls (-1.15 kg [95% CI -1.50, -0.80 kg] p < 0.001). Subgroup analysis demonstrated greater effectiveness with prescriptive (-1.60 kg [95% CI -2.00, -1.19] p < 0.001) compared with non-prescriptive (-0.81 kg [95% CI 1.10, -0.53] p < 0.001) intervention types. Interventions had greatest impact in healthy weight (18.5-24.9 kg/m2 ) (-0.82 kg [95% CI -1.5, -0.50] p < 0.001) or overweight (25.0-29.9 kg/m2 ) (-1.48 kg [95% CI -1.85, -1.12] p < 0.001) compared with obese populations (≥30.0 kg/m2 ) (-0.56 kg [95% CI -1.40, 0.27] p = 0.19). These findings demonstrate that lifestyle intervention prevents cumulative weight gain in non-obese adults, with future research required to inform cost-effectiveness and implementation feasibility.
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Affiliation(s)
- Julie C Martin
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Mamaru Ayenew Awoke
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Marie L Misso
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Cheryce L Harrison
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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22
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Li Y, Rosenthal SR. Food insecurity and obesity among US young adults: the moderating role of biological sex and the mediating role of diet healthfulness. Public Health Nutr 2021; 24:5058-5065. [PMID: 33183390 PMCID: PMC11082795 DOI: 10.1017/s1368980020004577] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 10/27/2020] [Accepted: 11/06/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To examine the association between food insecurity (FI) and obesity, measured by BMI and waist circumference (WC), among young adults and test the moderating role of biological sex and the mediating role of diet healthfulness (DH). DESIGN Cross-sectional. SETTING National Health and Nutrition Examination Survey 2011-2016. PARTICIPANTS The sample included 4667 young adults aged 18-35 years. RESULTS Given the interaction terms between sex and FI, biological sex was a moderator between both FI and WC (P = 0·031) and FI and BMI (P = 0·007) among young adults. FI was associated with a 1·16 kg/m2 higher BMI (95 % CI 0·27, 2·05) and a 2·09 cm larger WC (95 % CI 0·05, 4·14) among young female adults, while FI was associated with a 0·26 kg/m2 higher BMI (95 % CI -0·65, 1·16) and a 0·78 cm larger WC (95 % CI -1·13, 2·89) among young male adults. DH mediated the relationships between both FI and BMI (indirect effect β = 0·14; 95 % CI 0·05, 0·23) and FI and WC (indirect effect β = 0·31; 95 % CI 0·10, 0·51) among females. Females with FI had poorer DH and thus had higher BMI and larger WC. CONCLUSIONS Young female adults with FI were more likely to experience overall and abdominal obesity compared with their male counterparts. Results also suggest that females with FI had poorer DH and thus had increased risk of both abdominal and overall obesity.
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Affiliation(s)
- Yufei Li
- Department of Epidemiology, Brown School of Public Health, 121 South Main Street, Providence, RI02903, USA
| | - Samantha R Rosenthal
- Department of Epidemiology, Brown School of Public Health, 121 South Main Street, Providence, RI02903, USA
- Department of Health Science, College of Health & Wellness, Johnson & Wales University, Providence, RI, USA
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23
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Ding N, Karvonen-Gutierrez CA, Herman WH, Calafat AM, Mukherjee B, Park SK. Perfluoroalkyl and polyfluoroalkyl substances and body size and composition trajectories in midlife women: the study of women's health across the nation 1999-2018. Int J Obes (Lond) 2021; 45:1937-1948. [PMID: 33986457 PMCID: PMC8384652 DOI: 10.1038/s41366-021-00848-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 04/20/2021] [Accepted: 04/27/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND/OBJECTIVES Perfluoroalkyl and polyfluoroalkyl substances (PFAS) have been suggested as obesogens but epidemiologic evidence is limited. We examined associations of serum PFAS concentrations with longitudinal trajectories of weight, waist circumference (WC), fat mass, and proportion fat in midlife women. SUBJECTS/METHODS This study included 1,381 midlife women, with a total of 15,000 repeated measures from the multi-racial/ethnic Study of Women's Health Across the Nation between 1999 and 2018. The average follow-up was 14.9 (range: 0-18.6) years. Body size (objectively measured weight and WC) and body composition from dual-energy X-ray absorptiometry were assessed at near-annual visits. Linear mixed models with piecewise linear splines were utilized to model non-linear trajectories of body size and composition. RESULTS After multivariable adjustment, PFAS concentrations were positively associated with weight, WC, fat mass, and proportion fat at baseline and during follow-up. Comparing the highest to the lowest tertiles of PFAS concentrations, adjusted geometric mean weight was 73.9 kg vs. 69.6 kg for PFOS (P < 0.0001), and 74.0 vs. 69.4 kg for linear PFOA (P < 0.0001) at baseline. Women with the highest tertile of PFOS had an annual increase rate of 0.33% (95% CI: 0.27%, 0.40%) in weight, compared to the lowest tertile with 0.10% (95% CI: 0.04%, 0.17%) (P < 0.0001). PFOS was also significantly related to higher increase rates in WC (difference = 0.12% per year, P = 0.002) and fat mass (difference = 0.25% per year, P = 0.0002). EtFOSAA and MeFOSAA showed similar effects to PFOS. Although PFHxS was not related to body size or fat at baseline, PFHxS was significantly associated with accelerated increases in weight (P < 0.0001), WC (P = 0.003), fat mass (P < 0.0001), and proportion fat (P = 0.0009). No significant results were found for PFNA. CONCLUSIONS Certain PFAS were positively associated with greater body size and body fat, and higher rates of change over time. PFAS may be an underappreciated contributing factor to obesity risk.
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Affiliation(s)
- Ning Ding
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | | | - William H. Herman
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA,Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Antonia M. Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Sung Kyun Park
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA,Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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Longitudinal Associations of Marital, Parenting, and Employment Transitions with Weight Gain in a Multi-Ethnic Asian Population Aged 21 Years and Above. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18158115. [PMID: 34360408 PMCID: PMC8345590 DOI: 10.3390/ijerph18158115] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 07/24/2021] [Accepted: 07/27/2021] [Indexed: 11/17/2022]
Abstract
Identifying when most weight gain occurs throughout the life course can inform targeted public health interventions. We evaluated the association of childbirth, marriage, and employment changes with weight changes in a multi-ethnic Asian cohort. Singapore Multi-Ethnic Cohort participants ≥21 years (n = 9655) who identified as ethnic Chinese, Malay, or Indian were weighed and interviewed about marital status, employment, and number of children at baseline and after about four years. We used multivariable regression to evaluate life transitions in relation to weight change and major gain (≥5 kg), and adjusted for socio-demographic covariates. Weight gain was 3.55 kg (95% CI 3.17, 3.94) higher in young adults (21-30 years) compared with participants older than 60 years at baseline. Getting married was associated with weight gain in women, but not men (p interaction < 0.01). Women who got married gained 1.63 kg (95% CI 0.88, 2.38) more weight and were more likely to gain ≥5 kg (OR 1.99, 95% CI 1.35, 2.93) than those remaining unmarried. Having children was not associated with weight gain. Only among ethnic Indians, remaining a homemaker was associated with less weight gain than remaining employed. In this multi-ethnic Asian population, obesity prevention efforts should target young adulthood and, in women, the transition into marriage.
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Simon TG, Kim MN, Luo X, Liu X, Yang W, Ma Y, Chong DQ, Fuchs CS, Stampfer MJ, Giovannucci EL, Chan AT, Zhang X. Adiposity, Adulthood Weight Change and Risk of Incident Hepatocellular Carcinoma. Cancer Prev Res (Phila) 2021; 14:945-954. [PMID: 34266856 DOI: 10.1158/1940-6207.capr-20-0549] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 03/11/2021] [Accepted: 07/06/2021] [Indexed: 11/16/2022]
Abstract
Prospective data are limited regarding dynamic adulthood weight changes and hepatocellular carcinoma (HCC) risk. We included 77,238 women (1980-2012) and 48,026 men (1986-2012), who recalled young-adult weight (age 18 years [women]; 21 years [men]), and provided biennially-updated information regarding weight, body mass index (BMI) and comorbidities. Overall adulthood weight change was defined as the difference in weight (kilograms) between young-adulthood and present. Using Cox proportional hazards models, we calculated multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs). Over 3,676,549 person-years, we documented 158 incident HCC cases. Elevated HCC risk was observed with higher BMI in both young-adulthood and later-adulthood (continuous aHRs per each 1-unit=1.05, 95%CI=1.02-1.09 [Ptrend=0.019], and 1.08, 95%CI=1.06-1.10 [Ptrend=0.004], respectively). Moreover, overall adulthood weight gain was also significantly associated with increased HCC risk (aHR per each 1-kg increase=1.03, 95%CI=1.01-1.08; Ptrend=0.010), including after further adjusting for young-adult BMI (Ptrend=0.010) and later-adult BMI (Ptrend=0.008). Compared to adults with stable weight (+/-5kg), the multivariable-aHRs with weight gain of 5-<10kg, 10-<20kg and {greater than or equal to}20kg were, 1.40 (95%CI=0.67-2.16), 2.09 (95%CI=1.11-3.95) and 2.61 (95%CI=1.42-5.22), respectively. In two prospective, nationwide cohorts, adulthood weight gain was significantly associated with increased HCC risk.
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Affiliation(s)
- Tracey G Simon
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School
| | - Mi Na Kim
- Division of Gastroenterology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Xiao Luo
- Nutrition, Harvard T.H. Chan School of Public Health
| | - Xing Liu
- Nutrition, Harvard T.H. Chan School of Public Health
| | - Wanshui Yang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston MA
| | - Yanan Ma
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston MA
| | | | | | - Meir J Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School
| | | | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Division of Gastroenterology, Massachusetts General Hospital
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital
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26
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Wang Y, Zhao L, Gao L, Pan A, Xue H. Health policy and public health implications of obesity in China. Lancet Diabetes Endocrinol 2021; 9:446-461. [PMID: 34097869 DOI: 10.1016/s2213-8587(21)00118-2] [Citation(s) in RCA: 164] [Impact Index Per Article: 54.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 04/16/2021] [Accepted: 04/19/2021] [Indexed: 12/16/2022]
Abstract
China has experienced many drastic social and economic changes and shifts in people's lifestyles since the 1990s, in parallel with the fast rising prevalence of obesity. About half of adults and a fifth of children have overweight or obesity according to the Chinese criteria, making China the country with the highest number of people with overweight or obesity in the world. Assuming that observed time trends would continue in the future, we projected the prevalence of and the number of people affected by overweight and obesity by 2030, and the associated medical costs. The rising incidence of obesity and number of people affected, as well as the related health and economic consequences, place a huge burden on China's health-care system. China has made many efforts to tackle obesity, including the implementation of relevant national policies and programmes. However, these measures are inadequate for controlling the obesity epidemic. In the past decade, China has attached great importance to public health, and the Healthy China 2030 national strategy initiated in 2016 provides a historical opportunity to establish comprehensive national strategies for tackling obesity. China is well positioned to explore an effective model to overcome the obesity epidemic; however, strong commitment and leadership from central and local governments are needed, as well as active participation of all related society sectors and individual citizens. TRANSLATION: For the Chinese translation of the paper see Supplementary Materials section.
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Affiliation(s)
- Youfa Wang
- Global Health Institute, School of Public Health, Xi'an Jiaotong University, Xi'an, China.
| | - Li Zhao
- Department of Health Policy and Management, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Liwang Gao
- Global Health Institute, School of Public Health, Xi'an Jiaotong University, Xi'an, China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Xue
- Department of Health Administration and Policy, College of Health and Human Services, George Mason University, Fairfax, VA, USA
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27
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Yang YC, Walsh CE, Johnson MP, Belsky DW, Reason M, Curran P, Aiello AE, Chanti-Ketterl M, Harris KM. Life-course trajectories of body mass index from adolescence to old age: Racial and educational disparities. Proc Natl Acad Sci U S A 2021; 118:e2020167118. [PMID: 33875595 PMCID: PMC8092468 DOI: 10.1073/pnas.2020167118] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
No research exists on how body mass index (BMI) changes with age over the full life span and social disparities therein. This study aims to fill the gap using an innovative life-course research design and analytic methods to model BMI trajectories from early adolescence to old age across 20th-century birth cohorts and test sociodemographic variation in such trajectories. We conducted the pooled integrative data analysis (IDA) to combine data from four national population-based NIH longitudinal cohort studies that collectively cover multiple stages of the life course (Add Health, MIDUS, ACL, and HRS) and estimate mixed-effects models of age trajectories of BMI for men and women. We examined associations of BMI trajectories with birth cohort, race/ethnicity, parental education, and adult educational attainment. We found higher mean levels of and larger increases in BMI with age across more recent birth cohorts as compared with earlier-born cohorts. Black and Hispanic excesses in BMI compared with Whites were present early in life and persisted at all ages, and, in the case of Black-White disparities, were of larger magnitude for more recent cohorts. Higher parental and adulthood educational attainment were associated with lower levels of BMI at all ages. Women with college-educated parents also experienced less cohort increase in mean BMI. Both race and education disparities in BMI trajectories were larger for women compared with men.
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Affiliation(s)
- Yang Claire Yang
- Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
- Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516
| | - Christine E Walsh
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516;
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
| | - Moira P Johnson
- Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516
| | - Daniel W Belsky
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032
| | - Max Reason
- Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516
| | - Patrick Curran
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
| | - Allison E Aiello
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
| | - Marianne Chanti-Ketterl
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Duke University, Durham, NC 27705
| | - Kathleen Mullan Harris
- Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516
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Christakoudi S, Pagoni P, Ferrari P, Cross AJ, Tzoulaki I, Muller DC, Weiderpass E, Freisling H, Murphy N, Dossus L, Turzanski Fortner R, Agudo A, Overvad K, Perez-Cornago A, Key TJ, Brennan P, Johansson M, Tjønneland A, Halkjaer J, Boutron-Ruault MC, Artaud F, Severi G, Kaaks R, Schulze MB, Bergmann MM, Masala G, Grioni S, Simeon V, Tumino R, Sacerdote C, Skeie G, Rylander C, Borch KB, Quirós JR, Rodriguez-Barranco M, Chirlaque MD, Ardanaz E, Amiano P, Drake I, Stocks T, Häggström C, Harlid S, Ellingjord-Dale M, Riboli E, Tsilidis KK. Weight change in middle adulthood and risk of cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Int J Cancer 2021; 148:1637-1651. [PMID: 33038275 DOI: 10.1002/ijc.33339] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 09/10/2020] [Accepted: 09/15/2020] [Indexed: 12/11/2022]
Abstract
Obesity is a risk factor for several major cancers. Associations of weight change in middle adulthood with cancer risk, however, are less clear. We examined the association of change in weight and body mass index (BMI) category during middle adulthood with 42 cancers, using multivariable Cox proportional hazards models in the European Prospective Investigation into Cancer and Nutrition cohort. Of 241 323 participants (31% men), 20% lost and 32% gained weight (>0.4 to 5.0 kg/year) during 6.9 years (average). During 8.0 years of follow-up after the second weight assessment, 20 960 incident cancers were ascertained. Independent of baseline BMI, weight gain (per one kg/year increment) was positively associated with cancer of the corpus uteri (hazard ratio [HR] = 1.14; 95% confidence interval: 1.05-1.23). Compared to stable weight (±0.4 kg/year), weight gain (>0.4 to 5.0 kg/year) was positively associated with cancers of the gallbladder and bile ducts (HR = 1.41; 1.01-1.96), postmenopausal breast (HR = 1.08; 1.00-1.16) and thyroid (HR = 1.40; 1.04-1.90). Compared to maintaining normal weight, maintaining overweight or obese BMI (World Health Organisation categories) was positively associated with most obesity-related cancers. Compared to maintaining the baseline BMI category, weight gain to a higher BMI category was positively associated with cancers of the postmenopausal breast (HR = 1.19; 1.06-1.33), ovary (HR = 1.40; 1.04-1.91), corpus uteri (HR = 1.42; 1.06-1.91), kidney (HR = 1.80; 1.20-2.68) and pancreas in men (HR = 1.81; 1.11-2.95). Losing weight to a lower BMI category, however, was inversely associated with cancers of the corpus uteri (HR = 0.40; 0.23-0.69) and colon (HR = 0.69; 0.52-0.92). Our findings support avoiding weight gain and encouraging weight loss in middle adulthood.
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Affiliation(s)
- Sofia Christakoudi
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- MRC Centre for Transplantation, King's College London, London, UK
| | - Panagiota Pagoni
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Pietro Ferrari
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - David C Muller
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Neil Murphy
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Laure Dossus
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Antonio Agudo
- Unit of Nutrition and Cancer. Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL. L'Hospitalet de Llobregat, Barcelona, Spain
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Jytte Halkjaer
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Marie-Christine Boutron-Ruault
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe "Exposome, Hérédité, Cancer et Santé", CESP, Gustave Roussy, Villejuif, France
| | - Fanny Artaud
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe "Exposome, Hérédité, Cancer et Santé", CESP, Gustave Roussy, Villejuif, France
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe "Exposome, Hérédité, Cancer et Santé", CESP, Gustave Roussy, Villejuif, France
- Department of Statistics, Computer Science, and Applications "G. Parenti" (DISIA), University of Florence, Florence, Italy
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
| | - Manuela M Bergmann
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Vittorio Simeon
- Dep. of Mental, Physical Health and Preventive Medicine University "L.Vanvitelli", Naples, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority (ASP) Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Guri Skeie
- Department of Community Medicine, UiT The Arctic university of Norway, Tromsø, Norway
| | - Charlotta Rylander
- Department of Community Medicine, UiT The Arctic university of Norway, Tromsø, Norway
| | | | | | - Miguel Rodriguez-Barranco
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Maria-Dolores Chirlaque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - Eva Ardanaz
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Pilar Amiano
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Researach Institute, San Sebastian, Spain
| | - Isabel Drake
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Tanja Stocks
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Christel Häggström
- Department of Biobank Research, Umeå University, Umeå, Sweden
- Department of Surgical Science, Uppsala University, Uppsala, Sweden
| | - Sophia Harlid
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Merete Ellingjord-Dale
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
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Pereira DDS, Oliveira MHD, Conde WL. Overweight and Risk of Noncommunicable Diseases in Adulthood: An Analysis of NHANES IV 2015-2016. J Am Coll Nutr 2021; 41:392-398. [PMID: 33783330 DOI: 10.1080/07315724.2021.1891586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND Worldwide, overweight is one of the main risk factors for Noncommunicable Diseases (NCDs). In this scenario, Body Mass Index (BMI) is the main tool to assess nutritional status of the adult population. AIM To analyze the association between overweight and the risk of developing type 2 diabetes Mellitus (T2DM) and/or high blood pressure (HBP) during adulthood. SUBJECTS AND METHODS We used data of subjects aged between 30-64 years old from the United States National Survey of Health and Nutrition Examination (2015-2016). We calculated the risk of developing T2DM and/or HBP in adulthood using a Log-Binomial Regression model. We included sampling weights in our analysis and we adjusted it for confounding factors. RESULTS We evaluated a total of 2,666 individuals. Overweight affected around 38% of the sample when they were 25 years old and around 70% during the interview. We found 4 factors (overweight, smoking, sedentary lifestyle, and age) that were positively associated with the development of T2DM and/or HBP. Long-term overweight more than doubles the risk of developing these diseases [RR = 2.44; 95%CI: 1.92-3.09]. CONCLUSION The incidence of T2DM and/or HBP were positively associated with the overweight in adulthood. These results suggest that the prevention of overweight could decrease NCDs prevalence into adulthood.
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Affiliation(s)
| | | | - Wolney Lisboa Conde
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
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30
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Depression is associated with increased adiposity in a 4-year follow-up: results from the ELSA-Brasil. J Affect Disord 2021; 282:179-186. [PMID: 33418365 DOI: 10.1016/j.jad.2020.12.091] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/30/2020] [Accepted: 12/22/2020] [Indexed: 11/21/2022]
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31
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Gestational weight gain and risk of epithelial ovarian cancer. Cancer Causes Control 2021; 32:537-545. [PMID: 33616777 DOI: 10.1007/s10552-021-01405-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 02/05/2021] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To examine the association between (GWG) and epithelial ovarian cancer (EOC). METHODS We compared GWG between 670 incident EOC cases and 1,551 community controls from a population-based, case-control study conducted in Pennsylvania, Ohio, and New York from 2003 to 2008. Multivariable unconditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) associated with GWG adjusting for potential confounders. To explore the potential effect of maternal long-term weight retention after childbearing, we restricted analyses to women who began their childbearing years as normal/underweight and examined differences in EOC risk between those who were normal/underweight versus those who were overweight/obese at study baseline reference date. RESULTS Average GWG per full-term pregnancy did not differ between cases and controls. Among women who were normal/underweight at study baseline, greater average GWG was not associated with EOC (OR = 0.9, 0.8, 0.7 for quartiles 2, 3 and 4 of GWG gain, respectively, compared to quartile 1). In contrast, among women who were overweight/obese at study baseline, greater average GWG was positively associated with EOC (OR = 1.4, 1.8, 1.2, for quartiles 2, 3, and 4 compared to quartile 1; interaction p = 0.04). CONCLUSION We posit that maternal post-partum weight retention and not gestational weight gain itself among normal/underweight women may impact subsequent risk of EOC. If our hypothesis is supported in other studies designed to assess this question directly, then counseling women on the importance of healthy weight management after a pregnancy could provide another means to help women reduce their risk of this often-fatal malignancy.
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Nash SH, Day G, Hiratsuka VY, Beans J, Redwood D, Holck P, Howard BV, Umans J, Koller KR. Ten-year weight gain is not associated with multiple cardiometabolic measures in Alaska EARTH study participants. Nutr Metab Cardiovasc Dis 2021; 31:403-410. [PMID: 33127251 PMCID: PMC7887000 DOI: 10.1016/j.numecd.2020.09.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 09/01/2020] [Accepted: 09/17/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND AIMS Alaska Native (AN) traditional lifestyle may be protective against chronic disease risk. Weight gain in adulthood has been linked to increases in chronic disease risk among other populations; yet, its impact among Alaska Native people has never been evaluated. We aimed to evaluate changes in obesity-related metrics over time, and determine associations of changes with cardiometabolic markers of chronic disease risk among AN people. METHODS AND RESULTS Study participants enrolled in the southcentral Alaska Education and Research Towards Health Study in 2004-2006 were invited to participate in a follow-up study conducted 2015-2017. Of the original 1320 participants, 388 completed follow-up health assessments consisting of multiple health surveys, anthropometric measurements, and cardiometabolic measures including blood sugars, blood lipids, and blood pressure. Differences in measurements between visits were determined and associations of weight change with cardiometabolic measures evaluated. Body mass index increased by 3.7 kg/m2 among men and 4.8 kg/m2 among women. Hip circumference (1.1 cm, p < 0.01) and waist circumference (0.7 cm, p < 0.01) increased among women; only waist circumference increased among men (1.6 cm, p < 0.01). Among men, there were no associations of weight change with cardiometabolic measures. Among women, there was an inverse association between weight gain and high-density lipoprotein cholesterol only (0.17 mg/dL (CI: -3.1, -0.03), p = 0.02). CONCLUSIONS While weight increase over a 10-year period was not associated with substantive changes in cardiometabolic measures among AN men, there was a decrease in high density lipid cholesterol associated with weight gain among AN women.
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Affiliation(s)
- Sarah H Nash
- Alaska Native Epidemiology Center, Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK, USA.
| | - Gretchen Day
- Clinical and Research Services, Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK, USA
| | | | - Julie Beans
- Clinical and Research Services, Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK, USA
| | - Diana Redwood
- Alaska Native Epidemiology Center, Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK, USA
| | - Peter Holck
- Clinical and Research Services, Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK, USA
| | - Barbara V Howard
- Medstar Health Research Institute, Hyattsville, MD, USA; Georgetown/Howard Universities Center for Clinical and Translational Research, Washington, DC, USA
| | - Jason Umans
- Medstar Health Research Institute, Hyattsville, MD, USA; Georgetown/Howard Universities Center for Clinical and Translational Research, Washington, DC, USA
| | - Kathryn R Koller
- Clinical and Research Services, Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK, USA
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Liu M, Zhang Z, Zhou C, He P, Zhang Y, Li H, Li Q, Liu C, Wang B, Li J, Zhang Y, Xu X, Wang X, Xu X, Huo Y, Hou FF, Qin X. Relationship of Weight Change Patterns From Young to Middle Adulthood With Incident Cardiovascular Diseases. J Clin Endocrinol Metab 2021; 106:e812-e823. [PMID: 33180946 DOI: 10.1210/clinem/dgaa823] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Indexed: 11/19/2022]
Abstract
CONTEXT The effect of weight change patterns on cardiovascular diseases (CVD) remains uncertain. OBJECTIVE We aim to examine the relation of weight change patterns and absolute weight change from young adulthood to midlife with incident CVD. DESIGN Retrospective cohort study. SETTING National Health and Nutrition Examination Survey 1999-2016. PARTICIPANTS A total of 20 715 US adults aged 40 through 79 with recalled weight at young adulthood (25 years) and midlife (10 years before baseline). MAIN OUTCOME MEASURE CVD status was determined by self-report of a prior diagnosis, and age at diagnosis was used to establish time of CVD onset. CVD events was defined as the first occurrence of a congestive heart failure, coronary heart disease, angina pectoris, heart attack, or stroke. RESULTS After 9.76 years of follow-up, compared with participants who remained at normal weight, those in maximum overweight, changing from nonobese to obese, changing from obese to nonobese, maintaining obesity between young and middle adulthood had a 39% (hazard ratio [HR], 1.39; 95% confidence interval [CI], 1.19-1.62), 93% (HR, 1.93; 95% CI, 1.64-2.28), 125% (HR, 2.25; 95% CI, 1.29-3.94), and 132% (HR, 2.32; 95% CI, 1.68-3.20) higher risk of CVD, respectively. In addition, compared with weight change within 2.5 kg, weight gain ≥ 10.0 kg was associated with higher risk of CVD. CONCLUSIONS Both nonobese to obese, obese to nonobese, and stable obese from young to middle adulthood were associated with increased risks of CVD. The findings emphasize the importance of maintaining normal weight throughout the adulthood for preventing CVD in later life.
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Affiliation(s)
- Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Zhuxian Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Huan Li
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Qinqin Li
- Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Chengzhang Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Binyan Wang
- Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Xin Xu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Xiaobin Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xiping Xu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Fan Fan Hou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
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Wang X, Song J, Gao Y, Wu C, Zhang X, Li T, Cui J, Song L, Xu W, Yang Y, Zhang H, Lu J, Li X, Liu J, Zheng X. Association Between Weight Gain From Young to Middle Adulthood and Metabolic Syndrome Across Different BMI Categories at Young Adulthood. Front Endocrinol (Lausanne) 2021; 12:812104. [PMID: 35242104 PMCID: PMC8886729 DOI: 10.3389/fendo.2021.812104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES We aimed to assess the dose-response association between weight gain from young to middle adulthood and odds of metabolic syndrome, across body mass index (BMI) categories at young adulthood. METHODS Based on a national population-based screening project, middle-aged (35-64 years) participants who recalled weight at age 25 years and received standardized measurements were included. Multivariable adjusted restricted cubic splines and logistic regression models were applied. RESULTS In total, 437,849 participants were included (62.1% women, 52.0 ± 7.6 years). Larger weight gains from young to middle adulthood were associated with higher odds of metabolic syndrome at middle adulthood, with odds of 2.01 (1.98-2.05), 1.93 (1.92-1.94), and 1.67 (1.64-1.7) per 5-kg weight gain across participants who were underweight, normal-weight, and overweight/obese at young adulthood, respectively. After further adjusting for current BMI, larger weight gains still correlated with higher odds of metabolic syndrome among underweight and normal-weight participants, while an inverted U-shaped association was observed in overweight/obese participants. CONCLUSIONS Weight maintenance from young to middle adulthood could be effective to mitigate metabolic syndrome burden, especially among underweight and normal-weight people. Historical weight gain confers varied information about metabolic syndrome risk independent of attained BMI across BMI categories at young adulthood.
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Affiliation(s)
- Xiuling Wang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jiali Song
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Yan Gao
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Chaoqun Wu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xingyi Zhang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Teng Li
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jianlan Cui
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Lijuan Song
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Wei Xu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Yang Yang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Haibo Zhang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jiapeng Lu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jiamin Liu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
- *Correspondence: Xin Zheng, ; Jiamin Liu,
| | - Xin Zheng
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
- National Clinical Research Center of Cardiovascular Diseases, Coronary Artery Disease Center, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
- *Correspondence: Xin Zheng, ; Jiamin Liu,
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Ramezankhani A, Azizi F, Hadaegh F. Sex Differences in Rates of Change and Burden of Metabolic Risk Factors Among Adults Who Did and Did Not Go On to Develop Diabetes: Two Decades of Follow-up From the Tehran Lipid and Glucose Study. Diabetes Care 2020; 43:3061-3069. [PMID: 33020051 DOI: 10.2337/dc20-1112] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/29/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We investigated the cumulative burden and linear rates of change of major metabolic risk factors (MRFs) among Iranian adults in whom type 2 diabetes did and did not develop. RESEARCH DESIGN AND METHODS We included 7,163 participants (3,069 men) aged 20-70 years at baseline with at least three examinations during 1999-2018. Individual growth curve modeling was used for data analysis. Statistical interactions for sex by diabetes status were adjusted for age, family history of diabetes, smoking status, and physical activity level. RESULTS Study sample included 743 (316 men) new case subjects with diabetes. In both men and women, compared with individuals in whom diabetes did not develop, individuals in whom diabetes developed had a higher burden of all MRFs and a greater rate of change in BMI, fasting plasma glucose (FPG), systolic blood pressure (SBP), and diastolic blood pressure; however, the differences in burden and rate of change between those who did and did not develop diabetes were greater in women than in men. During the transition to diabetes, women experienced more adverse change in BMI, FPG, triglyceride, and HDL cholesterol (HDL-C) (diabetes-sex interaction P values <0.05) and faster rates of change in BMI, FPG, HDL-C, and total cholesterol (interaction P values <0.01) and SBP (interaction P = 0.055) than men. CONCLUSIONS The greater exposure of women to and burden of MRFs before onset of diabetes may have implications for implementing sex-specific strategies in order to prevent or delay diabetes complications.
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Affiliation(s)
- Azra Ramezankhani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Froehlich-Grobe K, Betts AC, Driver SJ, Carlton DN, Lopez AM, Lee J, Kramer MK. Group Lifestyle Balance Adapted for Individuals With Impaired Mobility: Outcomes for 6-Month RCT and Combined Groups at 12 Months. Am J Prev Med 2020; 59:805-817. [PMID: 33160798 PMCID: PMC7810163 DOI: 10.1016/j.amepre.2020.06.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 06/17/2020] [Accepted: 06/21/2020] [Indexed: 01/06/2023]
Abstract
INTRODUCTION This study examines the feasibility and effectiveness of an intensive lifestyle intervention adapted for people with impaired mobility. STUDY DESIGN This was a randomized, wait-list controlled trial. The experimental group immediately received the 12-month weight loss program; the wait-list control group received it after a 6-month delay. Between-group comparisons were conducted for the 6-month RCT study design. Repeated measures were conducted for both groups combined after receiving the 12-month intervention. Data were collected August 2015-February 2017 and analyzed in 2017. SETTING/PARTICIPANTS A community-based sample received 23, group-based sessions via a mix of telephone and in-person sessions in a hospital-based setting. Participants with impaired mobility (n=66) were middle-aged (49.80 [SD=11.37] years), mostly White (66.7%), female (66.7%), and most commonly had spinal cord injury (47.0%). INTERVENTION The 12-month intervention delivered 23 group-based sessions that promoted weight loss through reducing caloric intake and increasing physical activity. MAIN OUTCOME MEASURES Primary outcomes were effectiveness measured as change in weight and time spent in moderate physical activity. Feasibility was assessed in 12-month combined group analyses, measured as retention, attendance, and dietary self-monitoring. RESULTS The 6-month RCT results showed that the immediate and delayed groups differed significantly (p<0.05) in weight (-1.66 [SD=4.42] kg loss vs 0.05 [SD=4.15] kg gain) and moderate physical activity (52.93 [SD=90.74] minutes/week increase vs -14.22 [SD=96.02] minutes/week decrease), accounting for baseline weight, time with disability, and age of onset. The 12-month results with groups combined demonstrated 74.2% retention and 77.7% core session attendance. Self-monitoring was higher in the delayed group (77.3%), who used a smartphone app, than the immediate group (47.3%), who mostly used paper trackers. Participants achieved significant 12-month weight loss of 3.31 (SD=10.13) kg (d=0.33) in mixed modeling analyses with groups combined yet did not significantly increase moderate physical activity. CONCLUSIONS Group Lifestyle Balance Adapted for Individuals with Impaired Mobility is a feasible, effective approach to teach healthy lifestyle skills to individuals with mobility impairment, yielding modest weight loss and enhanced self-efficacy. TRIAL REGISTRATION This study is registered at www.clinicaltrials.gov NCT03307187.
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Affiliation(s)
| | - Andrea C Betts
- Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center at Houston, School of Public Health, Dallas, Texas
| | - Simon J Driver
- Baylor Scott & White Institute for Rehabilitation, Dallas, Texas
| | | | | | - Jaehoon Lee
- Department of Educational Psychology and Leadership, Texas Tech University, Lubbock, Texas
| | - M Kaye Kramer
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
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McHill AW, Hilditch CJ, Fischer D, Czeisler CA, Garaulet M, Scheer FAJL, Klerman EB. Stability of the timing of food intake at daily and monthly timescales in young adults. Sci Rep 2020; 10:20849. [PMID: 33257712 PMCID: PMC7705740 DOI: 10.1038/s41598-020-77851-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 11/17/2020] [Indexed: 12/19/2022] Open
Abstract
Cross-sectional observations have shown that the timing of eating may be important for health-related outcomes. Here we examined the stability of eating timing, using both clock hour and relative circadian time, across one semester (n = 14) at daily and monthly time-scales. At three time points ~ 1 month apart, circadian phase was determined during an overnight in-laboratory visit and eating was photographically recorded for one week to assess timing and composition. Day-to-day stability was measured using the Composite Phase Deviation (deviation from a perfectly regular pattern) and intraclass correlation coefficients (ICC) were used to determine individual stability across months (weekly average compared across months). Day-to-day clock timing of caloric events had poor stability within individuals (~ 3-h variation; ICC = 0.12-0.34). The timing of eating was stable across months (~ 1-h variation, ICCs ranging from 0.54-0.63), but less stable across months when measured relative to circadian timing (ICC = 0.33-0.41). Our findings suggest that though day-to-day variability in the timing of eating has poor stability, the timing of eating measured for a week is stable across months within individuals. This indicates two relevant timescales: a monthly timescale with more stability in eating timing than a daily timescale. Thus, a single day's food documentation may not represent habitual (longer timescale) patterns.
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Affiliation(s)
- Andrew W McHill
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA.
- Division of Sleep Medicine, Department of Medicine, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA.
- Oregon Institute of Occupational Health Sciences, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA.
| | - Cassie J Hilditch
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Department of Medicine, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA
- Fatigue Countermeasures Laboratory, Department of Psychology, San José State University, San José, CA, 95192, USA
| | - Dorothee Fischer
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Department of Medicine, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA
- Department of Sleep and Human Factors Research, Institute for Aerospace Medicine, German Aerospace Center, Cologne, Germany
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Department of Medicine, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA
| | - Marta Garaulet
- Department of Physiology, University of Murcia, 30100, Murcia, Spain
| | - Frank A J L Scheer
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Department of Medicine, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA
| | - Elizabeth B Klerman
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Department of Medicine, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge St, 20th Floor, Boston, MA, 02114, USA
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Pilcher JJ, Erikson DN, Yochum CA. Fighting the Freshman Fifteen: Sleep, Exercise, and BMI in College Students. Am J Health Promot 2020; 35:580-583. [PMID: 33111531 DOI: 10.1177/0890117120969065] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
PURPOSE To examine how sleep and physical activity predict body mass index (BMI) in college students. DESIGN Cross-sectional. SETTING Medium-sized public university in the Southeastern United States. SUBJECTS 386 undergraduate students (245 females; 18-25 years). MEASURES Surveys included the Pittsburg Sleep Quality Index (PSQI) and Concise Physical Activity Questionnaire (CPAQ). PSQI provided 5 sleep scores: PSQI Global Score, Sleep Quality Factor Score, Sleep Efficiency Factor Score, Sleep Duration, and Habitual Sleep Efficiency. Height and weight measurements were taken to calculate Body Mass Index (BMI). ANALYSIS Correlational analyses were completed first. Linear and moderation regression models using CPAQ as the moderator were used to predict BMI. The Johnson-Neyman technique determined regions of significance where sleep significantly predicted BMI dependent on CPAQ score. RESULTS Sleep Duration significantly predicted BMI (β = -.385, p = .043) while significant interaction terms predicting BMI were found for Global PSQI Score × CPAQ (β = -.103, p = .015) and Sleep Quality Factor Score × CPAQ (β = -.233, p = .013). Johnson-Neyman analyses demonstrated that better sleep quality (measured by Global PSQI and Sleep Quality Factor Scores) predict lower BMI when exercise levels are low and higher BMI when exercise levels are high. CONCLUSION At low levels of exercise, better sleep quality significantly predicts lower BMI, suggesting that interventions designed to increase sleep quality could promote healthy weight maintenance in college students.
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Affiliation(s)
- June J Pilcher
- Department of Psychology, 2545Clemson University, Clemson, SC, USA
| | - Dylan N Erikson
- Department of Psychology, 2545Clemson University, Clemson, SC, USA
| | - Carolyn A Yochum
- Department of Psychology, 2545Clemson University, Clemson, SC, USA
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Association of body weight gain with subsequent cardiovascular event in non-obese general population without overt cardiovascular disease. Atherosclerosis 2020; 308:39-44. [DOI: 10.1016/j.atherosclerosis.2020.05.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 05/28/2020] [Accepted: 05/29/2020] [Indexed: 11/19/2022]
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Association of Weight Loss from Early to Middle Adulthood and Incident Hypertension Risk Later in Life. Nutrients 2020; 12:nu12092622. [PMID: 32872103 PMCID: PMC7551896 DOI: 10.3390/nu12092622] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/22/2020] [Accepted: 08/26/2020] [Indexed: 12/11/2022] Open
Abstract
Background: The effect of obesity in early adulthood and weight loss on incident hypertension in older age has not been well characterized. This study aimed to examine the association of weight loss from young adulthood to midlife with risk of incident hypertension later in life. Methods: We performed a retrospective cohort study using data from the National Health and Nutrition Examination Survey (NHANES). Five weight change groups were categorized: stable normal, weight loss, weight gain, maximum overweight and stable obese. The hazard ratios (HRs) and 95% confidence intervals (CIs) of the association between weight change and risk of hypertension in later life were estimated using Cox regression models. Results: Compared with participants who maintained normal weight, the stable obese, weight gain, maximum overweight and weight loss groups exhibited significantly higher risks of incident hypertension, with HR of 3.28 (95% CI = 2.71 to 3.96), 2.93 (95% CI = 2.62 to 3.28), 1.76 (95% CI = 1.55 to 2.00) and 1.97 (95% CI = 1.17 to 3.31), respectively. We also observed a lower risk among those in the weight loss group (HR = 0.60, 95% CI = 0.35 to 1.02) compared with those who were stable obese. Conclusions: Weight loss from early to middle adulthood was associated with lower risk of incident hypertension as compared to those who stayed obese and higher risk of incident hypertension as compared to those who maintained normal weight. Thus, maintaining normal weight throughout adulthood may be important for the primary prevention of hypertension.
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Wesdorp MA, Eijgenraam SM, Meuffels DE, Bierma-Zeinstra SM, Kleinrensink GJ, Bastiaansen-Jenniskens YM, Reijman M. Traumatic Meniscal Tears Are Associated With Meniscal Degeneration. Am J Sports Med 2020; 48:2345-2352. [PMID: 32663046 PMCID: PMC7401187 DOI: 10.1177/0363546520934766] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Meniscal tears are traditionally classified into traumatic versus degenerative tears. Although this classification plays a major role in clinical decision making, no consensus exists on the exact definition of a traumatic or degenerative tear, and the histopathological basis for this classification is unclear. PURPOSE To assess the histological degree of meniscal degeneration in patients with a traumatic meniscal tear, as compared with intact meniscal tissue and osteoarthritic meniscal tissue. STUDY DESIGN Descriptive laboratory study. METHODS Traumatically torn meniscal tissue was collected during arthroscopic partial meniscectomy. As a control group, intact meniscal tissue was used from transfemoral amputations or direct postmortem dissections. Meniscal tissue from osteoarthritic knees was obtained during total knee replacement surgery. Meniscal tissue was processed, stained, and histologically analyzed with the Pauli scoring system (range, 0-18), comprising the subdomains surface integrity, cellularity, collagen organization, and matrix staining. Scoring was performed by 2 independent observers, blinded to condition, region, and patient data of the meniscus. RESULTS The traumatic meniscal tear group contained 43 patients (34 men; median age, 29 years; median body mass index [BMI], 24 kg/m2); the intact meniscal tissue group, 8 patients (3 men; median age, 58 years; median BMI, 30 kg/m2); and the osteoarthritic group, 14 patients (4 men; median age, 66 years; median BMI, 28 kg/m2). After adjustment for sex, age, and BMI, patients with a traumatic meniscal tear had a significantly higher histological score than patients with intact meniscal tissue (2.7-point difference; P = .035). Histological score between the traumatic and osteoarthritic groups was not different. CONCLUSION Traumatically torn menisci possess a higher degree of degeneration than intact menisci. Our results suggest that patients with a traumatic meniscal tear may already have had a certain degree of meniscal degeneration. These findings potentially challenge the classic view of traumatic versus degenerative meniscal tears. CLINICAL RELEVANCE Our findings provide a better understanding of the tissue condition of a torn meniscus. This knowledge may help clinicians decide on choice of treatment and may lead to new perspectives to prevent knee osteoarthritis in patients with a torn meniscus.
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Affiliation(s)
- Marinus A. Wesdorp
- Department of Orthopedic Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands,Marinus A. Wesdorp, MD, Department of Orthopedic Surgery, Erasmus MC, University Medical Center Rotterdam, Room Ee16.14, Dr Molewaterplein 40, Rotterdam, 3015 GD, the Netherlands ()
| | - Susanne M. Eijgenraam
- Department of Orthopedic Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands,Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Duncan E. Meuffels
- Department of Orthopedic Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Sita M.A. Bierma-Zeinstra
- Department of General Practice, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Gert-Jan Kleinrensink
- Department of Neuroscience and Anatomy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | - Max Reijman
- Department of Orthopedic Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
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Pegington M, French DP, Harvie MN. Why young women gain weight: A narrative review of influencing factors and possible solutions. Obes Rev 2020; 21:e13002. [PMID: 32011105 DOI: 10.1111/obr.13002] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 12/30/2019] [Accepted: 12/30/2019] [Indexed: 01/02/2023]
Abstract
Significant weight gain occurs in women during young adulthood, which increases risk of diseases such as diabetes, cardiovascular disease, and many cancers. This review aims to inform future individually targeted weight gain prevention programmes and summarizes possible targets: key life events, mediators that influence energy intake and physical activity levels, and moderators that could identify groups of women at greatest risk. Life events affecting weight include pregnancy and motherhood, smoking cessation, marriage and cohabiting, attending university, and possibly bereavement. Research has identified successful methods for preventing weight gain associated with pregnancy and motherhood, which could now be used in practice, but evidence is inconclusive for preventing weight gain around other life events. Weight gain is mediated by lack of knowledge and skills around food and nutrition, depression, anxiety, stress, satiety, neural responses, and possibly sleep patterns and premenstrual cravings. A paucity of research exists into altering these to limit weight gain. Moderators include socioeconomic status, genetics, personality traits, and eating styles. More research is required to identify at-risk females and engage them in weight gain prevention. There is a need to address evidence gaps highlighted and implement what is currently known to develop effective strategies to limit weight gain in young women.
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Affiliation(s)
- Mary Pegington
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,Prevent Breast Cancer Research Unit, The Nightingale Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - David P French
- Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, UK
| | - Michelle N Harvie
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,Prevent Breast Cancer Research Unit, The Nightingale Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK.,Manchester Breast Centre, University of Manchester, Manchester, UK
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Chao AM, Wadden TA, Berkowitz RI, Blackburn G, Bolin P, Clark JM, Coday M, Curtis JM, Delahanty LM, Dutton GR, Evans M, Ewing LJ, Foreyt JP, Gay LJ, Gregg EW, Hazuda HP, Hill JO, Horton ES, Houston DK, Jakicic JM, Jeffery RW, Johnson KC, Kahn SE, Knowler WC, Kure A, Michalski KL, Montez MG, Neiberg RH, Patricio J, Peters A, Pi-Sunyer X, Pownall H, Reboussin D, Redmon B, Rejeski WJ, Steinburg H, Walker M, Williamson DA, Wing RR, Wyatt H, Yanovski SZ, Zhang P. Weight Change 2 Years After Termination of the Intensive Lifestyle Intervention in the Look AHEAD Study. Obesity (Silver Spring) 2020; 28:893-901. [PMID: 32320144 PMCID: PMC7437140 DOI: 10.1002/oby.22769] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 02/03/2020] [Indexed: 01/07/2023]
Abstract
OBJECTIVE This study evaluated weight changes after cessation of the 10-year intensive lifestyle intervention (ILI) in the Look AHEAD (Action for Health in Diabetes) study. It was hypothesized that ILI participants would be more likely to gain weight during the 2-year observational period following termination of weight-loss-maintenance counseling than would participants in the diabetes support and education (DSE) control group. METHODS Look AHEAD was a randomized controlled trial that compared the effects of ILI and DSE on cardiovascular morbidity and mortality in participants with overweight/obesity and type 2 diabetes. Look AHEAD was converted to an observational study in September 2012. RESULTS Two years after the end of the intervention (EOI), ILI and DSE participants lost a mean (SE) of 1.2 (0.2) kg and 1.8 (0.2) kg, respectively (P = 0.003). In addition, 31% of ILI and 23.9% of DSE participants gained ≥ 2% (P < 0.001) of EOI weight, whereas 36.3% and 45.9% of the respective groups lost ≥ 2% of EOI weight (P = 0.001). Two years after the EOI, ILI participants reported greater use of weight-control behaviors than DSE participants. CONCLUSIONS Both groups lost weight during the 2-year follow-up period, but more ILI than DSE participants gained ≥ 2% of EOI weight. Further understanding is needed of factors that affected long-term weight change in both groups.
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Affiliation(s)
| | - Ariana M Chao
- Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Thomas A Wadden
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Robert I Berkowitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - George Blackburn
- Division of Nutrition, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Paula Bolin
- Southwestern American Indian Center, National Institute of Diabetes and Digestive and Kidney Diseases and St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
| | - Jeanne M Clark
- Division of General Internal Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Mace Coday
- Departments of Preventive Medicine and Psychiatry, The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Jeffrey M Curtis
- Southwestern American Indian Center, National Institute of Diabetes and Digestive and Kidney Diseases and St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
| | - Linda M Delahanty
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Gareth R Dutton
- Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Mary Evans
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA
| | - Linda J Ewing
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - John P Foreyt
- Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Linda J Gay
- Department of Psychiatry, The Miriam Hospital, Brown Medical School, Providence, Rhode Island, USA
| | - Edward W Gregg
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Helen P Hazuda
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - James O Hill
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Edward S Horton
- Department of Integrative Physiology and Metabolism, Joslin Diabetes Center, Boston, Massachusetts, USA
| | - Denise K Houston
- Department of Internal Medicine - Geriatrics, Wake Forest University, Winston-Salem, North Carolina, USA
| | - John M Jakicic
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Robert W Jeffery
- Divisions of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Karen C Johnson
- Departments of Preventive Medicine and Psychiatry, The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Steven E Kahn
- Division of Metabolism, Endocrinology and Nutrition, US Department of Veterans Affairs Puget Sound Health Care System, University of Washington, Seattle, Washington, USA
| | - William C Knowler
- Southwestern American Indian Center, National Institute of Diabetes and Digestive and Kidney Diseases and St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
| | - Anne Kure
- Division of Metabolism, Endocrinology and Nutrition, US Department of Veterans Affairs Puget Sound Health Care System, University of Washington, Seattle, Washington, USA
| | - Katherine L Michalski
- Division of General Internal Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Maria G Montez
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Rebecca H Neiberg
- Department of Internal Medicine - Geriatrics, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Jennifer Patricio
- Department of Medicine, St. Luke's Roosevelt Hospital Center, Columbia University, New York, New York, USA
| | - Anne Peters
- Division of Endocrinology, University of Southern California, Los Angeles, California, USA
| | - Xavier Pi-Sunyer
- Department of Medicine, St. Luke's Roosevelt Hospital Center, Columbia University, New York, New York, USA
| | - Henry Pownall
- Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - David Reboussin
- Department of Internal Medicine - Geriatrics, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Bruce Redmon
- Divisions of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - W Jack Rejeski
- Department of Internal Medicine - Geriatrics, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Helmut Steinburg
- Departments of Preventive Medicine and Psychiatry, The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Martha Walker
- Division of Endocrinology, University of Southern California, Los Angeles, California, USA
| | | | - Rena R Wing
- Department of Psychiatry, The Miriam Hospital, Brown Medical School, Providence, Rhode Island, USA
| | - Holly Wyatt
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Susan Z Yanovski
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA
| | - Ping Zhang
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Hansen AR, Rustin C, Opoku ST, Shevatekar G, Jones J, Zhang J. Trends in US adults with overweight and obesity reporting being notified by doctors about body weight status, 1999-2016. Nutr Metab Cardiovasc Dis 2020; 30:608-615. [PMID: 32131986 DOI: 10.1016/j.numecd.2020.01.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 01/10/2020] [Accepted: 01/13/2020] [Indexed: 01/05/2023]
Abstract
BACKGROUND AND AIMS Engaging healthcare providers (HCPs) is critical for early identification of overweight and obesity. The aim of this study is to describe the trend in clinicians' adherence to clinical recommendations to discuss body weight status with adults with overweight and obesity. METHODS AND RESULTS We analyzed the data of adults aged 20 and older with overweight or obesity from the National Health and Nutrition Examination Surveys, 1999 to 2016 with a 2-year data-release cycle. The question of interest was "Has a doctor or other health professionals ever told you that you were overweight?" Adjusted biennial percentage ratio (abPR) of being notified was estimated. We observed a significant increasing trend of notification in adults with overweight [abPR = 1.04 (95% confidence interval: 1.03, 1.06), about 4% increase for every two-years] and obesity [1.01 (1.00, 1.02)]. The highest increase occurred in adults with overweight aged 20-34 [1.12 (1.08, 1.16)], however, young adults with overweight remained the group with the lowest percentage (24%, 2015-2016 survey) of notification compared to others in recent survey. Notification in adults with obesity demonstrated similar trends. In 2015-2016, among adults with obesity who visited HCPs last year, 80% of these aged 50-64 and 78% of these aged 65 and older were notified. More than 80% of adults with overweight or obesity visited HCPs at least once last year. CONCLUSIONS There was an improvement in informing patients of overweight/obesity status. However, less than a quarter of young adults with overweight were notified in recent surveys, compromising the opportunities of preventing overweight from becoming obesity in early adulthood.
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Affiliation(s)
- Andrew R Hansen
- Department of Community Health Behavior and Education, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
| | - Christopher Rustin
- Georgia Department of Public Health, Division of Health Protection, Atlanta, GA, USA
| | - Samuel T Opoku
- Department of Department of Health Policy and Management, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
| | - Gauri Shevatekar
- Department of Community Health Behavior and Education, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
| | - Jeffery Jones
- Department of Department of Health Policy and Management, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
| | - Jian Zhang
- Department of Epidemiology, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
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Jacobs EJ, Newton CC, Patel AV, Stevens VL, Islami F, Flanders WD, Gapstur SM. The Association Between Body Mass Index and Pancreatic Cancer: Variation by Age at Body Mass Index Assessment. Am J Epidemiol 2020; 189:108-115. [PMID: 31602476 DOI: 10.1093/aje/kwz230] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 09/26/2019] [Indexed: 01/02/2023] Open
Abstract
Higher body mass index (BMI; weight (kg)/height (m)2) is associated with increased risk of pancreatic cancer in epidemiologic studies. However, BMI has usually been assessed at older ages, potentially underestimating the full impact of excess weight. We examined the association between BMI and pancreatic cancer mortality among 963,317 adults who were aged 30-89 years at their enrollment in Cancer Prevention Study II in 1982. During follow-up through 2014, a total of 8,354 participants died of pancreatic cancer. Hazard ratios per 5 BMI units, calculated using proportional hazards regression, declined steadily with age at BMI assessment, from 1.25 (95% confidence interval: 1.18, 1.33) in persons aged 30-49 years at enrollment to 1.13 (95% confidence interval: 1.02, 1.26) in those aged 70-89 years at enrollment (P for trend = 0.005). On the basis of a hazard ratio of 1.25 per 5 BMI units at age 45 years, we estimated that 28% of US pancreatic cancer deaths among persons born in 1970-1974 will be attributable to BMI ≥25.0-nearly twice the equivalent proportion of those born in the 1930s, a birth cohort with much lower BMI in middle age. These results suggest that BMI before age 50 years is more strongly associated with pancreatic cancer risk than BMI at older ages, and they underscore the importance of avoiding excess weight gain before middle age for preventing this highly fatal cancer.
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Affiliation(s)
- Eric J Jacobs
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Christina C Newton
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Alpa V Patel
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Victoria L Stevens
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Farhad Islami
- Surveillance and Health Service Research, American Cancer Society, Atlanta, Georgia
| | - W Dana Flanders
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
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Burgard SA, Lin KYP, Segal BD, Elliott MR, Seelye S. Stability and Change in Health Behavior Profiles of U.S. Adults. J Gerontol B Psychol Sci Soc Sci 2020; 75:674-683. [PMID: 32059056 DOI: 10.1093/geronb/gby088] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVES While understanding of complex within-person clustering of health behaviors into meaningful profiles of risk is growing, we still know little about whether and how U.S. adults transition from one profile to another as they age. This study assesses patterns of stability and change in profiles of tobacco and alcohol use and body mass index (BMI). METHOD A nationally representative cohort of U.S. adults 25 years and older was interviewed up to 5 times between 1986 and 2011. Latent transition analysis (LTA) models characterized the most common profiles, patterning of transitions across profiles over follow-up, and assessed whether some were associated with higher mortality risk. RESULTS We identified 5 profiles: "health promoting" with normal BMI and moderate alcohol consumption; "overweight"; "current smokers"; "obese"; and "nondrinkers". Profile membership was largely stable, with the most common transitions to death or weight gain. "Obese" was the most stable profile, while "smokers" were most likely to transition to another profile. Mortality was most frequent in the "obese" and "nondrinker" profiles. DISCUSSION Stability was more common than transition, suggesting that adults sort into health behavior profiles relatively early. Women and men were differently distributed across profiles at baseline, but showed broad similarity in transitions.
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Affiliation(s)
| | | | - Brian D Segal
- Department of Biostatistics, University of Michigan, Ann Arbor
| | | | - Sarah Seelye
- Population Studies Center, University of Michigan, Ann Arbor
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Jia G, Shu XO, Liu Y, Li HL, Cai H, Gao J, Gao YT, Wen W, Xiang YB, Zheng W. Association of Adult Weight Gain With Major Health Outcomes Among Middle-aged Chinese Persons With Low Body Weight in Early Adulthood. JAMA Netw Open 2019; 2:e1917371. [PMID: 31834393 PMCID: PMC6991199 DOI: 10.1001/jamanetworkopen.2019.17371] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
IMPORTANCE The association of weight gain from early to middle adulthood with disease risk has not been adequately studied. OBJECTIVE To investigate the association of adult weight gain with major health outcomes in a Chinese population with low body weight in early adulthood. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study assessed data from 48 377 women and 35 989 men aged 40 to 59 years at recruitment in 2 prospective cohort studies in China. The Shanghai Women's Health Study recruited 74 941 women, aged 40 to 70 years, from January 1, 1996, to December 31, 2000, and the Shanghai Men's Health Study recruited 61 482 men, aged 40 to 74 years, from January 1, 2002, to December 31, 2006. This analysis was conducted from September 1, 2017, to April 30, 2018. EXPOSURES Weight gain from 20 years of age to 40 to 59 years of age. MAIN OUTCOMES AND MEASURES Mortality and incidence of cancers and other chronic diseases. RESULTS This analysis included 48 377 women (mean [SD] age, 47.8 [5.3] years) and 35 989 men (mean [SD] age, 49.6 [5.1] years). Per 5-kg weight gain from early to middle adulthood was associated with an approximately 10% (hazard ratio [HR], 1.09; 95% CI, 1.04-1.14 for men; HR, 1.14; 95% CI, 1.11-1.19 for women) elevated all-cause mortality and a greater than 20% (HR, 1.26; 95% CI, 1.16-1.38 for men; HR, 1.23; 95% CI, 1.14-1.33 for women) cardiovascular disease-related mortality in later life among individuals who reached a body mass index (BMI) of 23 or higher at middle adulthood. Body mass index at middle adulthood also modified the association of weight gain with risk of obesity-related cancers, with weight gain of 20 kg or more associated with increased risks both for men (HR, 1.34; 95% CI, 1.07-1.67) and for women (HR 1.45; 95% CI, 1.24-1.68). No similar associations were found for individuals with a BMI of 18.5 to 22.9. Regardless of BMI, weight gain was associated with elevated risks of type 2 diabetes, hypertension, fatty liver disease, stroke, gout, and gallstones, particularly for type 2 diabetes (HR, 7.87; 95% CI, 6.91-8.97 for women; HR, 4.95; 95% CI, 4.23-5.79 for men) and fatty liver disease (HR, 3.68; 95% CI, 3.42-3.95 for women; HR, 2.83, 95% CI, 2.56-3.13 for men) in individuals with weight gain of 20 kg or more compared with those with a healthy weight. CONCLUSIONS AND RELEVANCE This study found that weight gain from early to middle adulthood was associated with disease incidence and mortality in later life. The BMI at middle adulthood modified the association of weight gain with mortality and cancer incidence but not risk of other major chronic diseases.
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Affiliation(s)
- Guochong Jia
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ying Liu
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Hong-Lan Li
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People’s Republic of China
| | - Hui Cai
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jing Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People’s Republic of China
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People’s Republic of China
| | - Wanqing Wen
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People’s Republic of China
| | - Wei Zheng
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
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Narisada A, Suzuki K. Association between procrastination, white-collar work and obesity in Japanese male workers: a cross-sectional study. BMJ Open 2019; 9:e029931. [PMID: 31740465 PMCID: PMC6887083 DOI: 10.1136/bmjopen-2019-029931] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To investigate the associations among procrastination (time inconsistency), work environment and obesity-related factors in Japanese male workers. DESIGN Cross-sectional study. SETTING Data were collected at two work sites of Japanese electronics manufacturing company in 2015. PARTICIPANTS 795 full-time male workers in a Japanese electric company, aged 35-64 years, who underwent health checkups in 2015. MAIN OUTCOME MEASURES Body mass index (BMI), adult weight change, obesity (BMI ≥25 kg/m2), adult weight gain over 10 kg (AWG10) and metabolic syndrome (MetS). Multivariable linear and logistic regression analyses were performed to assess the associations of procrastination assessed by using a one-item questionnaire and white-collar and blue-collar work with obesity-related factors. RESULTS White-collar workers with high procrastination levels showed positive associations with BMI (B: 0.75, 95% CI 0.06 to 1.44) and adult weight change (B: 1.77, 95% CI 0.26 to 3.29), and had increased odds of AWG10 (OR: 1.85, 95% CI 1.04 to 3.29) and MetS (OR: 2.29 95% CI 1.18 to 4.44) after adjustment for age, education, work-related factors and lifestyle factors. However, such positive associations were not observed among blue-collar workers. CONCLUSIONS Procrastination and white-collar work might have a joint effect on weight gain during adulthood and consequential obesity.
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Affiliation(s)
- Akihiko Narisada
- Institute for Occupational Health Science, Aichi Medical University, Nagakute, Japan
| | - Kohta Suzuki
- Institute for Occupational Health Science, Aichi Medical University, Nagakute, Japan
- Department of Health and Psychosocial Medicine, Aichi Medical University, Nagakute, Japan
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Chen C, Ye Y, Zhang Y, Pan XF, Pan A. Weight change across adulthood in relation to all cause and cause specific mortality: prospective cohort study. BMJ 2019; 367:l5584. [PMID: 31619383 PMCID: PMC6812615 DOI: 10.1136/bmj.l5584] [Citation(s) in RCA: 139] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/29/2019] [Indexed: 01/17/2023]
Abstract
OBJECTIVE To investigate the association between weight changes across adulthood and mortality. DESIGN Prospective cohort study. SETTING US National Health and Nutrition Examination Survey (NHANES) 1988-94 and 1999-2014. PARTICIPANTS 36 051 people aged 40 years or over with measured body weight and height at baseline and recalled weight at young adulthood (25 years old) and middle adulthood (10 years before baseline). MAIN OUTCOME MEASURES All cause and cause specific mortality from baseline until 31 December 2015. RESULTS During a mean follow-up of 12.3 years, 10 500 deaths occurred. Compared with participants who remained at normal weight, those moving from the non-obese to obese category between young and middle adulthood had a 22% (hazard ratio 1.22, 95% confidence interval 1.11 to 1.33) and 49% (1.49, 1.21 to 1.83) higher risk of all cause mortality and heart disease mortality, respectively. Changing from obese to non-obese body mass index over this period was not significantly associated with mortality risk. An obese to non-obese weight change pattern from middle to late adulthood was associated with increased risk of all cause mortality (1.30, 1.16 to 1.45) and heart disease mortality (1.48, 1.14 to 1.92), whereas moving from the non-obese to obese category over this period was not significantly associated with mortality risk. Maintaining obesity across adulthood was consistently associated with increased risk of all cause mortality; the hazard ratio was 1.72 (1.52 to 1.95) from young to middle adulthood, 1.61 (1.41 to 1.84) from young to late adulthood, and 1.20 (1.09 to 1.32) from middle to late adulthood. Maximum overweight had a very modest or null association with mortality across adulthood. No significant associations were found between various weight change patterns and cancer mortality. CONCLUSIONS Stable obesity across adulthood, weight gain from young to middle adulthood, and weight loss from middle to late adulthood were associated with increased risks of mortality. The findings imply that maintaining normal weight across adulthood, especially preventing weight gain in early adulthood, is important for preventing premature deaths in later life.
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Affiliation(s)
- Chen Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yi Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yanbo Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiong-Fei Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
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Control-theory models of body-weight regulation and body-weight-regulatory appetite. Appetite 2019; 144:104440. [PMID: 31494154 DOI: 10.1016/j.appet.2019.104440] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 08/08/2019] [Accepted: 09/02/2019] [Indexed: 12/24/2022]
Abstract
Human body weight (BW), or some variable related to it, is physiologically regulated. That is, negative feedback from changes in BW elicits compensatory influences on appetite, which may be called BW-regulatory appetite, and a component of energy expenditure (EE) called adaptive thermogenesis (AdEE). BW-regulatory appetite is of general significance because it appears to be related to a variety of aspects of human appetite beyond just energy intake. BW regulation, BW-regulatory appetite and AdEE are frequently discussed using concepts derived from control theory, which is the mathematical description of dynamic systems involving negative feedback. The aim of this review is to critically assess these discussions. Two general types of negative-feedback control have been invoked to describe BW regulation, set-point control and simple negative-feedback control, often called settling-point control in the BW literature. The distinguishing feature of set-point systems is the existence of an externally controlled target level of regulation, the set point. The performance of almost any negative-feedback regulatory system, however, can be modeled on the basis of feedback gain without including a set point. In both set-point and simple negative-feedback models of BW regulation, the precision of regulation is usually determined mainly by feedback gain, which refers to the transformations of feedback into compensatory changes in BW-regulatory appetite and AdEE. Stable BW most probably represents equilibria shaped by feedback gain and tonic open-loop challenges, especially obesogenic environments. Data indicate that simple negative-feedback control accurately models human BW regulation and that the set-point concept is superfluous unless its neuroendocrine representation is found in the brain. Additional research aimed at testing control-theory models in humans and non-human animals is warranted.
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