Dataset Information

Intergenerational Change in Anthropometric Indices and Their Predictors Among Children in New Delhi Birth Cohort.

ABSTRACT: OBJECTIVE:To evaluate intergenerational change in anthropometric indices of children and their predictors. DESIGN:Prospective cohort. PARTICIPANTS:New Delhi Birth Cohort participants (F1), born between 1969 and 1972, were followed-up for anthropometry at birth and 6-monthly intervals until 21 years. Their children (F2) below 10 years were evaluated anthropometrically. OUTCOME MEASURE:Intergenerational change (F2-F1) in height, weight and body mass index (BMI) of children in comparison to their parents at corresponding ages. RESULTS:432 F2-F1 pairs were analyzed in age-groups of 0-5 (26.9%) and 5-10 (73.1%) years. Children were considerably taller (0-5 years 0.99 SD; 5-10 years 1.17 SD) and heavier (0-5 years 0.77 SD; 5-10 years 1.52 SD) while only those aged 5-10 years were broader (had a higher BMI; 1.03 SD), than their parents. These increases for 0-5 and 5-10 years, respectively corresponded to 3.9 and 6.4 cm for height, 1.3 and 5.4 kg for weight and 0.2 and 1.9 kg/m2 for BMI. Lower parents' anthropometric indices and poor water supply and sanitation facilities; higher age of parents at child birth and of children when measured (for height and weight); and more parental education (for weight and BMI), were associated with greater intergenerational gains in children. CONCLUSION:Over one generation in an urban middle-class population, whose general living conditions had improved, under-five children have become considerably taller and heavier, and 5-10 year old children have additionally become broader, than their parents at corresponding ages. Child populations probably 'grow up' before 'growing out'.

SUBMITTER: Sinha S

PROVIDER: S-EPMC5460749 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Intergenerational Change in Anthropometric Indices and Their Predictors Among Children in New Delhi Birth Cohort.

Sinha Sikha S Aggarwal Abha Rani AR Osmond Clive C D Fall Caroline H CH Bhargava Santosh K SK Sachdev Harshpal Singh HS

Indian pediatrics 20161205 3

<h4>Objective</h4>To evaluate intergenerational change in anthropometric indices of children and their predictors.<h4>Design</h4>Prospective cohort.<h4>Participants</h4>New Delhi Birth Cohort participants (F1), born between 1969 and 1972, were followed-up for anthropometry at birth and 6-monthly intervals until 21 years. Their children (F2) below 10 years were evaluated anthropometrically.<h4>Outcome measure</h4>Intergenerational change (F2-F1) in height, weight and body mass index (BMI) of chil ...[more]

PMID: 28031545

Similar Datasets

Project description:ObjectiveWHO uses anthropometric classification scheme of childhood acute and chronic malnutrition based on low body mass index (BMI) ('wasting') and height for age ('stunting'), respectively. The goal of this study was to describe a novel two-axis nutritional classification scheme to (1) characterise nutritional profiles in children undergoing abdominal surgery and (2) characterise relationships between preoperative nutritional status and postoperative morbidity.DesignThis was a retrospective observational cohort study.SettingThe setting was 50 hospitals caring for children in North America that participated in the American College of Surgeons National Surgical Quality Improvement Program Paediatric from 2011 to 2013.ParticipantsChildren >28 days who underwent major abdominal operations were identified.Interventions/main predictorThe cohort of children was divided into five nutritional profile groups based on both BMI and height for age Z-scores: (1) underweight/short, (2) underweight/tall, (3) overweight/short, (4) overweight/tall and (5) non-outliers (controls).Main outcome measuresMultiple variable logistic regressions were used to quantify the association between 30-day morbidity and nutritional profile groups while adjusting for procedure case mix, age and American Society of Anaesthesiologists class.ResultsA total of 39 520 cases distributed as follows: underweight/short (656, 2.2%); underweight/tall (252, 0.8%); overweight/short (733, 2.4%) and overweight/tall (1534, 5.1%). Regression analyses revealed increased adjusted odds of composite morbidity (35%) and reintervention events (75%) in the underweight/short group, while overweight/short patients had increased adjusted odds of composite morbidity and healthcare-associated infections (43%), and reintervention events (79%) compared with controls.ConclusionStratification of preoperative nutritional status using a scheme incorporating both BMI and height for age is feasible. Further research is needed to validate this nutritional risk classification scheme for other surgical procedures in children.

Dataset Information

Intergenerational Change in Anthropometric Indices and Their Predictors Among Children in New Delhi Birth Cohort.

Publications

Intergenerational Change in Anthropometric Indices and Their Predictors Among Children in New Delhi Birth Cohort.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets