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Sun Y, Wang B, Yu Y, Wang Y, Tan X, Zhang J, Qi L, Lu Y, Wang N. Birth weight, ideal cardiovascular health metrics in adulthood, and incident cardiovascular disease. Chin Med J (Engl) 2024; 137:1160-1168. [PMID: 38479998 PMCID: PMC11101240 DOI: 10.1097/cm9.0000000000003043] [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: 09/13/2023] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Prenatal and postnatal factors may have joint effects on cardiovascular health, and we aimed to assess the joint association of birth weight and ideal cardiovascular health metrics (ICVHMs) prospectively in adulthood with incident cardiovascular disease (CVD). METHODS In the UK Biobank, 227,833 participants with data on ICVHM components and birth weight and without CVD at baseline were included. The ICVHMs included smoking, body mass index, physical activity, diet information, total cholesterol, blood pressure, and hemoglobin A1c. The Cox proportional hazards model was used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) in men and women. RESULTS Over a median follow-up period of 13.0 years (2,831,236 person-years), we documented 17,477 patients with incident CVD. Compared with participants with birth weights of 2.5-4.0 kg, the HRs (95% CIs) of CVD among those with low birth weights was 1.08 (1.00-1.16) in men and 1.23 (1.16-1.31) in women. The association between having a birth weight <2.5 kg and CVD risk in men was more prominent for those aged <50 years than for those of older age ( P for interaction = 0.026). Lower birth weight and non-ideal cardiovascular health metrics were jointly related to an increased risk of CVD. Participants with birth weights <2.5 kg and ICVHMs score 0-1 had the highest risk of incident CVD (HR [95% CI]: 3.93 [3.01-5.13] in men; 4.24 [3.33-5.40] in women). The joint effect (HR [95% CI]: 1.36 [1.17-1.58]) could be decomposed into 24.7% (95% CI: 15.0%-34.4%) for a lower birth weight, 64.7% (95% CI: 56.7%-72.6%) for a lower ICVHM score, and 10.6% (95% CI: 2.7%-18.6%) for their additive interaction in women. CONCLUSIONS Birth weight and ICVHMs were jointly related to CVD risk. Attaining a normal birth weight and ideal ICVHMs may reduce the risk of CVD, and a simultaneous improvement of both prenatal and postnatal factors could further prevent additional cases in women.
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Affiliation(s)
- Ying Sun
- Department of Endocrinology and Metabolism, Institute of Endocrinology and Metabolism, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Bin Wang
- Department of Endocrinology and Metabolism, Institute of Endocrinology and Metabolism, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Yuefeng Yu
- Department of Endocrinology and Metabolism, Institute of Endocrinology and Metabolism, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Yuying Wang
- Department of Endocrinology and Metabolism, Institute of Endocrinology and Metabolism, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Xiao Tan
- School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310058, China
- Department of Medical Sciences, Uppsala University, Uppsala 75105, Sweden
| | - Jihui Zhang
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70118, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02138, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02138, USA
| | - Yingli Lu
- Department of Endocrinology and Metabolism, Institute of Endocrinology and Metabolism, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Ningjian Wang
- Department of Endocrinology and Metabolism, Institute of Endocrinology and Metabolism, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
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Does a Healthy Lifestyle Lower the Elevated Risk of Obesity Caused by Caesarian Section Delivery in Children and Adolescents? Nutrients 2022; 14:nu14173528. [PMID: 36079786 PMCID: PMC9460904 DOI: 10.3390/nu14173528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/20/2022] [Accepted: 08/23/2022] [Indexed: 11/17/2022] Open
Abstract
Background: Both caesarean section (CS) and lifestyle were linked with child adiposity. This study aimed to investigate whether CS delivery is linked with elevated risk of child adiposity regardless of a healthy lifestyle. Methods: All the subjects in this study came from a baseline survey of a national school-based program on healthy lifestyle interventions against adiposity among Chinese children and adolescents. A questionnaire was used to collect the information on delivery mode and lifestyle. According to the weighted lifestyle score, subjects were categorized into healthy, intermediate, and unhealthy lifestyle. Results: A total of 44,961 children aged 6−18 years were enrolled in the current study. Overall, 41.9% (18,855/44,961) of children were delivered by CS. Compared with children delivered by vaginal delivery, children delivered by CS had a higher adiposity risk (OR = 1.56; 95%CI: 1.46−1.66; p < 0.001) after adjustment for age, sex, region, mother adiposity, ethnicity, and weighted lifestyle factors. Compared with children with a healthy lifestyle, children with an unhealthy lifestyle had a higher risk of child adiposity (OR = 1.31; 95%CI: 1.19−1.44). Children delivered by CS who had an unhealthy lifestyle had a 106% higher (OR = 2.06; 95%CI: 1.79−2.37) risk of child adiposity compared with children delivered by vaginal delivery who had a healthy lifestyle. However, keeping a healthy lifestyle in later life seems not to offset the increased risk of child adiposity caused by CS (OR = 1.59; 95%CI: 1.39−1.82). Conclusions: Both CS and unhealthy lifestyle were linked with child adiposity risk. Keeping a healthy lifestyle did not counteract the elevated risk of child adiposity caused by CS.
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Dang J, Chen T, Ma N, Liu Y, Zhong P, Shi D, Dong Y, Zou Z, Ma Y, Song Y, Ma J. Associations between Breastfeeding Duration and Obesity Phenotypes and the Offsetting Effect of a Healthy Lifestyle. Nutrients 2022; 14:nu14101999. [PMID: 35631148 PMCID: PMC9143350 DOI: 10.3390/nu14101999] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 04/30/2022] [Accepted: 05/06/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Additional metabolic indicators ought to be combined as outcome variables when exploring the impact of breastfeeding on obesity risk. Given the role of a healthy lifestyle in reducing obesity, we aimed to assess the effect of breastfeeding duration on different obesity phenotypes according to metabolic status in children and adolescents, and to explore the offsetting effect of healthy lifestyle factors on the associations between breastfeeding duration and obesity phenotypes. Methods: A total of 8208 eligible children and adolescents aged 7–18 years were recruited from a Chinese national cross-sectional study conducted in 2013. Anthropometric indicators were measured in the survey sites, metabolic indicators were tested from fasting blood samples, and breastfeeding duration and sociodemographic factors were collected by questionnaires. According to anthropometric and metabolic indicators, obesity phenotypes were divided into metabolic healthy normal weight (MHNW), metabolic unhealthy normal weight (MUNW), metabolic healthy obesity (MHO), and metabolic unhealthy obesity (MUO). Four common obesity risk factors (dietary consumption, physical activity, screen time, and sleep duration) were used to construct a healthy lifestyle score. Scores on the lifestyle index ranged from 0 to 4 and were further divided into unfavorable lifestyles (zero or one healthy lifestyle factor), intermediate lifestyles (two healthy lifestyle factors), and favorable lifestyle (three or four healthy lifestyle factors). Multinomial logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (95% CI) for the associations between breastfeeding duration and obesity phenotypes. Furthermore, the interaction terms of breastfeeding duration and each healthy lifestyle category were tested to explore the offsetting effect of lifestyle factors. Results: The prevalence of obesity among Chinese children and adolescents aged 7–18 years was 11.0%. Among the children and adolescents with obesity, the prevalence of MHO and MUO was 41.0% and 59.0%, respectively. Compared to the children and adolescents who were breastfed for 6–11 months, prolonged breastfeeding (≥12 months) increased the risks of MUNW (OR = 1.35, 95% CI: 1.19–1.52), MHO (OR = 1.61, 95% CI: 1.27–2.05), and MUO (OR = 1.46, 95% CI: 1.20–1.76). When stratified by healthy lifestyle category, there was a typical dose–response relationship between duration of breastfeeding over 12 months and MUNW, MHO, and MUO, with an increased risk of a favorable lifestyle moved to an unfavorable lifestyle. Conclusions: Prolonged breastfeeding (≥12 months) may be associated with increased risks of MUNW, MHO, and MUO, and the benefits of breastfeeding among children and adolescents may begin to wane around the age of 12 months. The increased risks may be largely offset by a favorable lifestyle.
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Affiliation(s)
- Jiajia Dang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Ting Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Ning Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Yunfei Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Panliang Zhong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Di Shi
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Zhiyong Zou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Yinghua Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
- Correspondence: (Y.S.); (J.M.); Tel.: +86-10-82801624 (Y.S.); Fax: +86-10-82801178 (Y.S.)
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (J.D.); (T.C.); (N.M.); (Y.L.); (P.Z.); (D.S.); (Y.D.); (Z.Z.); (Y.M.)
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
- Correspondence: (Y.S.); (J.M.); Tel.: +86-10-82801624 (Y.S.); Fax: +86-10-82801178 (Y.S.)
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Cai S, Dang J, Zhong P, Ma N, Liu Y, Shi D, Zou Z, Dong Y, Ma J, Song Y. Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents. Front Endocrinol (Lausanne) 2022; 13:980332. [PMID: 36313785 PMCID: PMC9613922 DOI: 10.3389/fendo.2022.980332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 09/12/2022] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES To analyze sex differences in the prevalence of obesity phenotypes and their risk factors among children and adolescents aged 7-18 years in China. METHODS We enrolled 15,114 children and adolescents aged 7-18 years into the final analysis. Obesity phenotypes were classified by body mass index (BMI) and metabolic status as metabolically healthy or unhealthy obesity. In addition, we collected four possible influencing factors on obesity phenotypes through questionnaires, including demographic, parental, early life, and lifestyle indicators. Multinomial logistic regression analysis in a generalized linear mixed model (GLMM) was selected to estimate the odds ratio (OR) and 95% confidence interval (95% CI) for identifying risk factors and control the cluster effects of schools. More importantly, the interaction terms of sex and each indicator were established to demonstrate the sex differences. RESULTS The prevalence of metabolically healthy obesity (MHO), metabolically unhealthy obesity (MUO), metabolically healthy overweight and obesity (MHOO), and metabolically unhealthy overweight and obesity (MUOO) were 3.5%, 5.6%, 11.1%, and 13.0% respectively, with higher prevalence in boys (5.3% vs. 1.6%, 7.9% vs. 3.1%, 14.3% vs. 7.7%, 15.6% vs. 10.1%). In addition, younger ages, single children, parental smoking, parental history of diseases (overweight, hypertension, diabetes), caesarean, premature, and delayed delivery time, high birth weight, insufficient sleep time, and excessive screen time were considered as important risk factors of MHO and MUO among children and adolescents (p < 0.05). More notably, boys were at higher risks of MUO when they were single children (boys: OR = 1.56, 95% CI: 1.24-1.96; girls: OR = 1.12, 95% CI: 0.82-1.54), while girls were more sensitive to MUO with parental smoking (girls: OR = 1.34, 95% CI: 1.02-1.76; boys: OR = 1.16, 95% CI: 0.97-1.39), premature delivery (girls: OR = 3.11, 95% CI: 1.59-6.07; boys: OR = 1.22, 95% CI: 0.67-2.22), high birth weight (girls: OR = 2.45, 95% CI: 1.63-3.69; boys: OR = 1.28, 95% CI: 0.96-1.70), and excessive screen time (girls: OR = 1.47, 95% CI: 1.06-2.04; boys: OR = 0.97, 95% CI: 0.79-1.20), with significant interaction term for sex difference (pinteraction < 0.05). CONCLUSIONS MHO and MUO are becoming prevalent among Chinese children and adolescents. Significant sex differences in the prevalence of obesity phenotypes as well as their environmental and genetic risk factors suggest it might be necessary to manage obesity phenotypes problems from a sex perspective.
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Affiliation(s)
- Shan Cai
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Jiajia Dang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Panliang Zhong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Ning Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yunfei Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Di Shi
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Zhiyong Zou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
- *Correspondence: Yi Song, ; Jun Ma,
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
- *Correspondence: Yi Song, ; Jun Ma,
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