scholarly journals How complete, representative and accurate is recording of child BMI in electronic general practice records? A record linkage study

Author(s):  
Nicola Firman ◽  
John Robson ◽  
Zaheer Ahmed ◽  
Kambiz Boomla ◽  
Carol Dezateux

Background with rationaleGeneral practitioner (GP) electronic health records (EHRs) are a potentially valuable, but unevaluated, source of child BMI measurements to inform clinical practice and research. Main AimTo assess representativeness and accuracy of child GP-BMI records. MethodsWe linked school National Child Measurement Programme (NCMP) records from 29,839 five-year-olds (49.1% girls) and 26,660 11-year-olds (49.1% girls) in City & Hackney (2013-17), Newham (2014-17) and Tower Hamlets (2015-17) to GP EHRs using pseudonymised NHS numbers (94.9% and 95.1% linked, respectively) and identified GP-BMI measurements using Read code “22K..”. We estimated adjusted odds ratios (aOR) of at least one GP-BMI by: sex (reference category: male); ethnic background (White); area-level deprivation (most deprived Index of Multiple Deprivation quintile); weight status (healthy weight; clinical UK1990); and long-term condition (none). We estimated mean BMI difference (NCMP-BMI minus GP-BMI kg/m2) and 95% Limits of Agreement (LoA; Bland and Altman method). ResultsWe identified at least one GP-BMI in 10.5% (2,964/28,330) and 26.0% (6,598/25,365) of 5- and 11-year-olds respectively. Five-year-old children who were underweight (aOR; 95% CI: 1.70; 1.28,2.25) or obese (1.45; 1.28,1.65), from South Asian backgrounds (1.63; 1.45,1.80) and with long-term conditions (9.58; 8.13,11.28) were more likely, and girls (0.88; 0.81,0.95) and those from less deprived areas (Wald statistic; p-value: 40.06; <0.0001) less likely, to have at least one GP-BMI measurement recorded. Findings among 11-year-olds were similar. We identified GP-BMI measurements made within one month of NCMP-BMI in 5.4% (160/2,964) of 5-year-olds and 4.0% (263/6,598) of 11-year-olds. There was poor agreement between NCMP-BMI and GP-BMI: mean difference (95% LoA): +0.55 (-2.49,+3.58) and +0.16 (-2.85,+3.18) in five- and 11-year-olds respectively. ConclusionChild BMI is not comprehensively recorded in UK GP settings. Access to BMI school measurements in GP settings could support discussions about child weight status between children, their families and general practitioners.

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1666-1666
Author(s):  
Adeyosola Oke ◽  
Marcela Vizcarra Catalan ◽  
Maria Stecher ◽  
Carolina Navarro ◽  
Andiara Schwingel

Abstract Objectives To evaluate the moderating effect of feeding styles on the association between satiety responsiveness and child BMI z-scores in children aged 3-to-5 in Santiago, Chile. Methods Participants were recruited from childcare centers serving low- and middle-income families in 2017 and 2018. During a face-to-face individual interview, the Caregiver Feedings styles Questionnaire and food responsiveness subscale of the Child Eating Behavior Questionnaire were applied to parents. Weight and height were obtained for children and caregivers. Multiple linear regressions were conducted to test the moderating effect of feeding styles on the relationship between satiety responsiveness and child BMI z-scores. Results 92.5% of caregivers were mothers, the parent BMI was 29.2 (SD = 5.7). No feeding style moderated the association between satiety responsiveness and BMI z-score Satiety responsiveness had a significant main effect on child BMI z score. None of the feeding styles was significantly associated with child BMI z-score. Only satiety responsiveness was significantly associated with child BMI z score (B = –.32, P &lt; 0.05) after controlling for parent BMI (B = .047, P &lt; .05). This model accounted for 12% of the variance of the child BMI z-score. 1.1% of the children were underweight, 22.4% normal, 37.9% overweight and 38.5% obese Conclusions Parent perceptions of higher satiety responsiveness suggests an association with lower child BMI z-scores. This study suggests that how children respond to food may play an important role in explaining child weight status. than the parent's or caregiver style of feeding in determining a child's weight status. Further research is required to discard interaction effects between appetite traits and feeding styles to explain child weight status. Funding Sources National Comission of scientific Research and Technology (CONICYT) and its Becas Chile program 2016 (#72,110,561) Center of Latin American Studies (CLACS) University of Illinois at Urbana-Champaign.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1242-1242
Author(s):  
Nicole Reigh ◽  
Alaina Pearce ◽  
Hugh Garavan ◽  
Charles Geier ◽  
Barbara Rolls ◽  
...  

Abstract Objectives The relationship between parentally reported satiety responsiveness (i.e., trait) and laboratory-assessed satiety responsiveness (i.e., state) in children is not known, making it difficult to interpret and generalize lab-based findings. In addition, while many studies have shown weight-related differences in children's eating behaviors, less is known about appetitive traits that are present before obesity develops. Therefore, we examined associations between trait- and state-based satiety responsiveness among children with healthy weight who differed by familial risk for obesity. Methods Data from an ongoing longitudinal study were analyzed for 59 healthy-weight, 7–8 year-old children (BMI-for-age% &lt; 85). Familial risk for obesity was determined by parental weight status as low-risk (N = 34, both parents’ BMIs &lt; 25 kg/m2) or high-risk (N = 25, mothers’ BMI ≥ 30 kg/m2; fathers’ BMI ≥ 25 kg/m2). Parents completed the Children's Eating Behavior Questionnaire to assess satiety responsiveness (SR), a measure of children's tendency to stop eating once sated (trait). To assess state-based satiety, the Satiety Quotient (SQ) was calculated from an ad-libitum laboratory meal [(Pre-meal hunger – post-meal hunger)/meal intake in grams]. A higher SQ indicates a greater reduction in hunger per gram (i.e., better satiety responsiveness). Results Overall, SR and SQ were not correlated (P = 0.57). However, a linear regression controlling for pre-meal hunger and child BMI percentile revealed a risk status-by-SR interaction (β = 0.804, P = 0.04) such that SR was positively associated with SQ in high-risk children (95% CI [0.003, 0.430]), but there was no relationship between SR and SQ in low-risk children (95% CI [−0.203, 0.085]). No differences in SR, SQ, pre-meal hunger, or post-meal hunger were observed between risk groups. Conclusions Parentally reported (trait-based) satiety was positively associated with laboratory-assessed satiety, but only among healthy weight children at high-familial risk for obesity. Parents of children who are at high-risk for developing obesity may be more observant of children's appetitive traits compared to parents of low-risk children, and this may be helpful in the prevention of obesity. Funding Sources NIH RO1: DK110060.


Author(s):  
Annick Xhonneux ◽  
Jean-Paul Langhendries ◽  
Françoise Martin ◽  
Laurence Seidel ◽  
Adelin Albert ◽  
...  

Abstract Background Maternal perception of child weight status in children with overweight or obesity has received a lot of attention but data on paternal perception of children from presumably healthy cohorts are lacking. Objective We aimed to investigate paternal and maternal perception of child weight status at the age of 8 years in a cohort of 591 children from 5 European countries. Material and Methods Included were 8-year-old children and their parents participating in the European Childhood Obesity Project (EU CHOP). Weight and height of children and parents were measured and Body Mass Index (BMI, kg/m2) was calculated. Both parents were asked to assess their perception of child weight status using Eckstein scales and their concern about child overweight. The agreement between mother and father perceptions was assessed by Cohen kappa coefficient and their relationship was analyzed by linear mixed effects models based on ordinal logistic regression, accounting for country, child gender and BMI, parental BMI, level of education, concern and type of feeding during first year of life. Results Data from children and both parents were available for 432 girls and boys. Mean BMI was comparable in boys and girls (16.7 ± 2.31 vs. 16.9 ± 2.87 kg/m2, P = 0.55). In total, 172 children (29.3%) were overweight or obese. There was a high degree of agreement between mother and father perceptions of their child’s weight status (Cohen kappa 0.77). Multivariate modelling showed that perception levels significantly increased with child BMI but were globally lower than assessed. They differed between countries, gender and types of feeding during first year of life, were influenced by education level of the father but were not related to parental BMI and concern about childhood overweight. Conclusions The study showed no overall differences between mothers and fathers in rating their child’s weight status but both parents had a propensity to underestimate their child’s actual weight, particularly in boys. The EU CHOP trial registered at clinicaltrials.gov as NCT00338689.


2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Sheryl O. Hughes ◽  
Thomas G. Power ◽  
Teresia M. O’Connor ◽  
Jennifer Orlet Fisher ◽  
Tzu-An Chen

Objective. The aim was to investigate the influence of feeding styles and food parenting practices on low-income children’s weight status over time.Method. Participants were 129 Latina parents and their Head Start children participating in a longitudinal study. Children were assessed at baseline (4 to 5 years old) and again eighteen months later. At each time point, parents completed questionnaires and height and weight measures were taken on the child.Results. The indulgent feeding style (parent-report at baseline) was associated with increased child BMIz-score eighteen months later compared to other feeding styles. Authoritative, authoritarian, and uninvolved feeding styles were not significantly associated with increased child BMIz-score. Child BMIz-score at Time 1 (strongest) and maternal acculturation were positive predictors of child BMIz-score at Time 2. Maternal use of restriction positively predicted and maternal monitoring negatively predicted Time 2 BMIz-score, but only when accounting for feeding styles.Conclusion. This is the first study to investigate the impact of feeding styles on child weight status over time. Results suggest that indulgent feeding predicts later increases in children’s weight status. The interplay between feeding styles and food parenting practices in influencing child weight status needs to be further explored.


2015 ◽  
Vol 12 (4) ◽  
pp. 506-514 ◽  
Author(s):  
Lanay M. Mudd ◽  
Jim M. Pivarnik ◽  
Karin A. Pfeiffer ◽  
Nigel Paneth ◽  
Hwan Chung ◽  
...  

Background:We sought to evaluate the effects of maternal leisure-time physical activity (LTPA) during pregnancy and current child LTPA on child weight status.Methods:Women with term pregnancies in the Pregnancy Outcomes and Community Health Study (1998–2004) were followed-up. A race-stratified subset of participants (cohort A) received extensive follow-up efforts leading to better response rates (592/926 = 64%) and diversity. The remainder (Cohort B) had a lower response rate (418/1629 = 26%). Women reported child height, weight and LTPA at 3 to 9 years (inactive vs. active), and recalled pregnancy LTPA (inactive vs. active). A 4-category maternal/child LTPA variable was created (reference: active pregnancy + active child). Children were classified as healthy weight, overweight, or obese using age- and sex-specific Body Mass Index percentiles. Logistic regression was used to assess the odds of child obesity (reference: healthy weight).Results:In unadjusted analyses, pregnancy inactivity increased odds for obesity when the child was active (1.6 [95% CI, 1.0−2.6] in Cohort A; 2.1 [95% CI, 1.1−4.0] in Cohort B), and more so when the child was inactive (2.4 [95% CI, 1.2−4.9] in Cohort A; 3.0 [95% CI, 1.0−8.8] in Cohort B). Adjustment for covariates attenuated results to statistical nonsignificance but the direction of relations remained.Conclusions:Maternal inactivity during pregnancy may contribute to child obesity risk.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
J. Stephenson ◽  
C. M. Smith ◽  
B. Kearns ◽  
A. Haywood ◽  
P. Bissell

Abstract Background The relationship between obesity and health-related quality of life (HRQoL) may be confounded by factors such as multimorbidity. The aim of the study was to explore this relationship, controlling for long-term conditions and other health, lifestyle and demographic factors in a general adult population. There was specific interest in the impact of high weight status, measured by body mass index (BMI) levels (obesity, morbid obesity) compared with individuals of normal weight. Methods Health, lifestyle and demographic data were collected from 64,631 individuals aged 16 years and over registered in the Yorkshire Health Study; a long-term cohort study. Data were collected in 2 waves: from patients attending GP surgeries in the South Yorkshire region; and using online recruitment across the entire Yorkshire and Humber area. Univariable and multivariable regression methods were utilised to identify factors associated with HRQoL as measured by the EQ-5D summary score. Long-term conditions were tested as both covariates and mediating factors on the causal pathway between obesity and HRQoL. Results Increasing levels of obesity are associated with reduced HRQoL, although this difference is negligible between those of normal weight and those who are overweight. Individuals with obesity and morbid obesity score 4.9 and 11.3 percentage points less on the EQ-5D summary scale respectively than those of normal weight. Concurrent physical, and particularly mental health-related long-term conditions are substantively related to HRQoL: those with 3 or more reported mental or physical health conditions score 29.8 and 14.6 percentage points less on the EQ-5D summary scale respectively than those with fewer conditions. Long-term conditions can be conceptualised as lying on the causal path between obesity and HRQoL, but there is weak evidence for a partial mediating relationship only. Conclusions To conclude, in agreement with the established literature we have found a clear inverse relationship between increasing weight status and decreasing HRQoL and confirmed the mediating role of long-term conditions in the reduction of HRQoL in people with obesity. Nevertheless, a high BMI remains independently related to HRQoL, suggesting that ‘healthy people with obesity’ may be in transition to an unhealthy future.


Author(s):  
Victor Vuni Joseph

There is increasing uptake of telehealth for long-term conditions (LTCs). However, evidence of their effectiveness remains largely inconclusive. Similarly, success factors for implementation of telehealth into routine healthcare practice are not fully understood. The objectives of this chapter are to determine the effectiveness of telehealth; and to update existing checklist on key success factors for implementation of telehealth. Both randomized controlled trial (RCT) and observational study methods were used as case-studies. Analysis was carried out using logistic regression model and summary statistics. There was a statistically significant reduction in hospital admissions in favour of the intervention groups in the RCT, with an odds ratio (OR) of 0.08 (95% CI: 0.01, 0.81); p-value = 0.03, while in the observational study, the mean hospital admission per person reduced from 2.19 (95% CI: 1.67, 2.69) to 1.20 (95% CI: 0.88, 1.52); p-value 0.0004. Key success factors identified were used to update the second version of telehealth checklist tool. Telehealth was effective in reducing hospital admission in patients with COPD, heart failure, and diabetes. Key success factors were updated to support telehealth practitioners in embedding telehealth in routine practice.


2015 ◽  
pp. 1197-1216
Author(s):  
Victor Vuni Joseph

There is increasing uptake of telehealth for long-term conditions (LTCs). However, evidence of their effectiveness remains largely inconclusive. Similarly, success factors for implementation of telehealth into routine healthcare practice are not fully understood. The objectives of this chapter are to determine the effectiveness of telehealth; and to update existing checklist on key success factors for implementation of telehealth. Both randomized controlled trial (RCT) and observational study methods were used as case-studies. Analysis was carried out using logistic regression model and summary statistics. There was a statistically significant reduction in hospital admissions in favour of the intervention groups in the RCT, with an odds ratio (OR) of 0.08 (95% CI: 0.01, 0.81); p-value = 0.03, while in the observational study, the mean hospital admission per person reduced from 2.19 (95% CI: 1.67, 2.69) to 1.20 (95% CI: 0.88, 1.52); p-value 0.0004. Key success factors identified were used to update the second version of telehealth checklist tool. Telehealth was effective in reducing hospital admission in patients with COPD, heart failure, and diabetes. Key success factors were updated to support telehealth practitioners in embedding telehealth in routine practice.


2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Loan P. Kim ◽  
Nelly Mallo

Objective. To examine the association between maternal perceptions of self-weight and child weight status and milk consumption behavior of Hispanic WIC participants. Methods. Mixed methods design with phone survey (n=529) and one-on-one interviews (n=35). Demographic characteristics, Chi-square, and thematic analyses were conducted. Results. More than half of overweight mothers misperceived their own weight status as well as those of their children. Mothers who perceived their child to be overweight were more likely to make a healthier food choice for their family, namely, choosing reduced-fat milk instead of whole milk. Qualitative interviews revealed a cultural preference for larger size children, and mothers defined healthy weight for their child as a function of (1) the child’s ability to be as active as other children their age, regardless of child’s BMI, and (2) the pediatrician’s opinion of the child’s weight status. Conclusions. Maternal perception of self-weight and child weight status seems to guide milk choices. Mothers may have some level of recognition of overweight in themselves and their child, thus adopting healthier milk choices. Culturally related perceptions should be considered when designing obesity prevention strategies, and the role of a pediatrician cannot be understated when developing obesity prevention programs for Hispanic families.


Author(s):  
Cody D. Neshteruk ◽  
Gina L. Tripicchio ◽  
Stephanie Lobaugh ◽  
Amber E. Vaughn ◽  
Courtney T. Luecking ◽  
...  

The purpose of this study was to examine associations between screen time (ST) parenting practices and 2–5-year-old children’s TV viewing and weight status. Data were collected from 252 parent–child dyads enrolled in a randomized parent-focused childhood obesity prevention trial from 2009–2012. ST parenting practices were assessed at baseline using a validated parent-reported survey. Parent-reported child TV viewing and objectively measured anthropometrics were assessed at baseline, post-intervention (35 weeks), and follow-up (59 weeks). Marginal effect models were developed to test the association between baseline ST parenting practices and children’s TV viewing, BMI z-score, and waist circumference across all time points. Limiting/monitoring ST was associated with decreased weekly TV viewing (β = −1.79, 95% CI: −2.61; −0.95), while exposure to TV was associated with more weekly TV viewing over 59 weeks (β = 1.23, 95% CI: 0.71; 1.75). Greater parent use of ST as a reward was associated with increased child BMI z-score (β = 0.15, 95% CI: 0.03; 0.27), while limiting/monitoring ST was associated with decreased BMI z-score (β = −0.16, 95% CI: −0.30; −0.01) and smaller waist circumference (β = −0.55, 95% CI: −1.04; −0.06) over the study period. These findings suggest that modifying parent ST practices may be an important strategy to reduce ST and promote healthy weight in young children.


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