scholarly journals Correction: Weight gain during pregnancy: Does the antenatal care provider make a difference? A retrospective cohort study

CMAJ Open ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. E333-E333
Keyword(s):  
Cohort Study ◽  
Weight Gain ◽  
Antenatal Care ◽  
Care Provider ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Weight Gain During Pregnancy

scholarly journals Weight gain during pregnancy: Does the antenatal care provider make a difference? A retrospective cohort study

CMAJ Open ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. E283-E293 ◽  
Author(s):  
Beth Murray-Davis ◽  
Howard Berger ◽  
Nir Melamed ◽  
Haroon Hasan ◽  
Karizma Mawjee ◽  
...  
Keyword(s):  
Cohort Study ◽  
Weight Gain ◽  
Antenatal Care ◽  
Care Provider ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Weight Gain During Pregnancy

scholarly journals Evaluating the long-term impact of an antenatal healthy lifestyle service: retrospective cohort study

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
F Fair ◽  
H Soltani
Keyword(s):  
Cohort Study ◽  
Weight Gain ◽  
Antenatal Care ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Healthy Lifestyle ◽  
School Entry ◽  
Gestational Weight ◽  
Long Term Impact

Abstract Introduction Maternal obesity is associated with increased odds of obesity in the offspring. The antenatal period is considered a good opportunity to promote lifestyle improvements. The long-term impact of maternal characteristics and attending a maternal healthy lifestyle service (MHLS) on childhood risk of overweight was evaluated. Methods Women with a body mass index (BMI) ≥35kg/m² referred to one MHLS in England from 2009 were included in a retrospective cohort study. Pseudo-anonymised data from the National Child Measurement Programme were matched to data from women referred to this service. Children were classified as 'overweight' if their weight centile was ≥95th centile at 6-8 weeks or 9-12 months or their BMI was ≥95th centile at school entry (4-5 years). Univariate logistic regression determined the odds ratios (OR) and 95% confidence intervals (CI) of childhood overweight according to uptake of the MHLS, gestational weight gain (GWG) and other characteristics. Results The proportion of infants classified as overweight increased over time [2.8% at 6-8 weeks (20/713), 13.8% at 9-12 months (89/647) and 30.4% at school entry (206/677)]. The odds of overweight increased with each unit increase in birthweight (OR 39.9 95%CI 13.4-119.1 at 6-8 weeks, OR 3.7 95%CI 2.4-5.7 at 9-12 months and OR 1.9 95%CI 1.4-2.5 at school entry). GWG above Institute of Medicine recommendations increased the odds of overweight at 6-8 weeks (OR 2.9 95%CI 1.1-7.4). Women living in the most deprived quartile (OR 1.6 95%CI 1.1-2.2) or who smoked when booking for antenatal care (OR 1.5 95%CI 1.0-2.2) had increased odds of infant with BMI ≥95th centile at school entry. Attendance at a MHLS and maternal BMI did not significantly impact on child overweight at any time; however the sample only included women with a raised BMI. Conclusions Lifestyle during pregnancy, GWG and other wider health determinants such as deprivation have long lasting effects on infant health and childhood obesity. Key messages Overweight at school entry is high (>30%) for women with a raised BMI when booking for antenatal care. Addressing maternal socioeconomic conditions, gestational weight gain and smoking during pregnancy are key priorities for the long-term health of children.

scholarly journals Recovery time from severe acute malnutrition and associated factors among under-5 children in Yekatit 12 Hospital, Addis Ababa, Ethiopia: a retrospective cohort study

2020 ◽  
Vol 42 ◽  
pp. e2020003 ◽  
Author(s):  
Mekonen Adimasu ◽  
Girum Sebsibie ◽  
Fikrtemariam Abebe ◽  
Getaneh Baye ◽  
Kerebih Abere
Keyword(s):  
Cohort Study ◽  
Weight Gain ◽  
Retrospective Cohort Study ◽  
Recovery Time ◽  
Retrospective Cohort ◽  
Severe Acute Malnutrition ◽  
Acute Malnutrition ◽  
Daily Weight Gain ◽  
Nutritional Recovery ◽  
Length Of Hospitalization

OBJECTIVES: Recovery time from severe acute malnutrition (SAM) is often a neglected topic despite its clinical impact. Although a few studies have examined nutritional recovery time, the length of hospitalization in those studies varied greatly. Therefore, the aim of this study was to determine the recovery time from SAM and to identify predictors of length of hospitalization among under-5 children.METHODS: A retrospective cohort study was conducted among 423 under-5 children with SAM who had been admitted to Yekatit 12 Hospital. Kaplan-Meier analysis was used to estimate time to nutritional recovery, and Cox proportional hazard regression analysis was performed to determine independent predictors.RESULTS: The nutritional recovery rate was 81.3%, and the median recovery time was 15.00 days (95% confidence interval [CI], 13.61 to 16.39). Age, daily weight gain per kilogram of body weight, vaccination status, and the existence of at least 1 comorbidity (e.g., pneumonia, stunting, shock, and deworming) were found to be significant independent predictors of nutritional recovery time. The adjusted hazard ratio (aHR) for nutritional recovery decreased by 1.9% for every 1-month increase in child age (aHR, 0.98; 95% CI, 0.97 to 0.99).CONCLUSIONS: The overall nutritional recovery time in this study was within the Sphere standards. However, approximately 13.0% of children stayed in the hospital for more than 28.00 days, which is an unacceptably large proportion. Daily weight gain of ≥8 g/kg, full vaccination, and deworming with albendazole or mebendazole reduced nutritional recovery time. Conversely, older age, pneumonia, stunting, and shock increased nutritional recovery time.

scholarly journals Comparison of Growth Velocity Among School Age Children With Different Body Mass Index From Childhood Into Early Adolescence in Hualien County, Taiwan: A Retrospective Cohort Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Yu-Chao Hsiao ◽  
Jen-Hung Wang ◽  
Chia-Hsiang Chu ◽  
Yu-Hsun Chang ◽  
Jui-Shia Chen ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Weight Gain ◽  
Risk Analysis ◽  
Growth Velocity ◽  
Retrospective Cohort Study ◽  
Repeated Measures ◽  
Retrospective Cohort ◽  
Linear Growth ◽  
Repeated Measures Analysis

Objective: This study aimed to investigate the contribution of high body mass index (BMI) to growth velocity among school-aged children who remained in the same BMI categories for a 6-year period.Methods: This retrospective cohort study included children who enrolled in the school year 2009 and remained in the same BMI categories during their 1st, 4th, and 7th grades (6–7, 9–10, 12–13 years of age). Annual linear growth velocity and weight gain were calculated and compared between sexes, BMI groups, and different times. Risk analysis and repeated measures analysis of variance were performed to identify the impact of BMI on growth velocity.Results: Of the 1,637 subjects, 53.0% were male, and 2.5% and 10.9% belonged to BMI groups of overweight and obese, respectively. In students between 6 and 13 years of age, obesity was associated with higher annual weight gain and height gain. Risk analysis showed that obese subjects had higher linear growth velocity than normal BMI groups of both sexes between 6 and 9 years of age. Unexpectedly, overweight and obese girls between 9 and 13 years of age had less linear growth velocity than underweight girls at the same interval. Repeated measures analysis of variance in both sexes showed a significant statistical association between BMI and different times of growth. However, the effect was less in girls between 9 and 13 years of age.Conclusion: Puberty may dominate over BMI as the main contributor to high growth velocity in girls with underweight BMI emerging into pubertal age.

scholarly journals Early weight gain after stopping smoking: a predictor of overall large weight gain? A single-site retrospective cohort study

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e023987 ◽  
Author(s):  
Alexandra Pankova ◽  
Eva Kralikova ◽  
Kamila Zvolska ◽  
Lenka Stepankova ◽  
Milan Blaha ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cohort Study ◽  
Weight Gain ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Receiver Operating Curve ◽  
Large Weight ◽  
Early Weight Gain ◽  
The Mean

ObjectivesMost people gain weight on stopping smoking but the extent of weight gain varies greatly. Interventions aimed at all quitters to prevent weight gain on cessation have proven unpopular but targeting people who have gained excess weight immediately after quitting may improve uptake and cost-effectiveness. We examined whether early large postcessation weight gain predicts overall large weight gain.DesignRetrospective cohort study.SettingPrimary care setting—smoking cessation centre in Prague, Czech Republic.ParticipantsOut of 3537 patients treated between 2005 and 2013, 1050 were continuous abstainers (verified by carbon monoxide measurement) at 1-year follow-up and formed the cohort of the current report. 48.7% were women (n=511) with the mean age of 46 (±14.4) years.MethodsIn this retrospective cohort study, all patients underwent usual tobacco dependence treatment using evidence-based methods. Weight was measured prior to smoking cessation and at each visit after quitting.ResultsThe mean weight gain in the first month (n=763) was 0.79% (±2.03%), in the second month (n=646) was 1.49% (±2.58%), for the third month (n=566) 2.33% (±3.44%) and 4.1% (±5.31%) after 1-year follow-up (n=1050). The regression coefficient per 1% rise in the first 3 months was +0.13% (95% CI −0.04% to 0.30%). A receiver operating curve analysis showed that patients gaining more than 0.98% of their baseline weight during first 3 months had a sensitivity of 66% and specificity of 44% for gaining 7% or more weight by 12 months. In addition, lower body mass index and an increase in appetite at 3 months after quitting were associated with greater weight gain, while using nicotine replacement therapy was associated with less weight gain at 1-year follow-up.ConclusionsPeople who stop smoking and gain a larger amount of weight early after quitting are not more likely to gain excessively at 1 year.

Weight Change from Early to Middle Adulthood and Incident Asthma Later in Life: A Retrospective Cohort Study

2020 ◽  
Author(s):  
Tao Wang ◽  
Yunping Zhou ◽  
Nan Kong ◽  
Jianzhong Zhang ◽  
Guo Cheng ◽  
...  
Keyword(s):  
Cohort Study ◽  
Weight Gain ◽  
Weight Change ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Early Adulthood ◽  
Adult Onset ◽  
Middle Adulthood ◽  
Hazard Ratios ◽  
Incident Asthma

Abstract Background: Data describing the effects of weight change across adulthood on asthma are important for the prevention of asthma. This study aimed to investigate the association between weight change from early to middle adulthood and risk of incident asthma.Methods: Using data from the National Health and Nutrition Examination Survey (NHANES), we performed a nationally retrospective cohort study of the U.S. general population. A total of 20 771 people aged 40-74 years with recalled weight at young and middle adulthood were included in the cohort. Hazard ratios relating weight change to incident asthma over 10 years of follow-up were calculated using Cox models adjusting for covariates.Results: Compared with participants with stable non-obesity between young and middle adulthood, the hazard ratios of incident asthma were 1.63 (95% confidence interval 1.29 to 2.07) for weight gain (non-obesity to obesity), 1.41 (0.97 to 2.05) for stable obesity, and 1.21 (0.41 to 3.62) for weight loss (obesity to non-obesity). In addition, participants who gained more than 20 kg had a hazard ratio of 1.53 (1.15 to 2.03), compared with those whose weight had remained stable. When stratified by sex, the association between weight gain and incident asthma was seen only in females. Population attributable fraction calculations estimated that 10.2% of adult-onset asthma could be averted, if all those who were non-obesity at early adulthood could prevent weight gain by midlife. Conclusion: The findings implied that maintaining normal weight across adulthood, especially preventing weight gain in early adulthood, was important for preventing adult-onset asthma.

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