Modifiable early life exposures associated with adiposity and obesity in 3-year old children born to mothers with obesity

Trajectory of Early Life Adiposity Among South Asian Children

Importance

Measures of childhood adiposity merit investigation, particularly in individuals of South Asian descent.

Objective

To investigate prenatal and childhood factors associated with the trajectory of adiposity in South Asian children, and the cumulative contribution of modifiable factors, such as diet and physical activity, on this trajectory.

Design, Setting, and Participants

This cohort study was a prospective analysis of the South Asian Birth Cohort (START; 2011-2015) for discovery; and the Family Atherosclerosis Monitoring In Early Life (FAMILY; 2002-2009) in Ontario, Canada, and the Born in Bradford (BiB; 2008-2009) cohort in Bradford, UK, for validation. Mother-child pairs included 903 South Asian individuals (START), 675 White European individuals (FAMILY), and 1593 individuals (BiB), of which 52% were South Asian. Analysis was conducted from March 2020 to September 2024.

Exposure

Maternal, infancy, and early childhood exposures.

Main Outcomes and Measures

Adiposity, assessed by the sum of subscapular and triceps skinfold thicknesses (SSF) from birth to 3 years, aggregated to a single measure as total area under the growth curve (AUC for SSF); multivariable linear regression models to identify determinants of AUC for SSF; and a cumulative score to assess joint contribution of modifiable risk factors to AUC for SSF.

Results

START included 903 children (456 female [50.5%]; mean [SD] maternal age, 30.2 [4.0] years; maternal mean [SD] prepregnancy body mass index [BMI], 23.8 [4.50]). Maternal sum of skinfold thicknesses (β = 0.80 [95% CI, 0.30-1.30] per 10 mm), gestational weight gain (β = 0.38 [95% CI, 0.02-0.74] per 5 kg), a health-conscious diet score (β = -0.68 [95% CI, -1.26 to -0.10] per 1 SD), and infant breastfeeding for the first year (β = -1.68 [95% CI, -2.94 to -0.42), as well as physical activity (β = -0.33 [95% CI, -0.57 to -0.09] per 30-min/d) and screen time (β = 0.49 [95% CI, 0.18-0.81] per 30-min/d) were each independently associated with AUC for SSF. These 6 early-life modifiable factors combined into a single score had a direct, graded association between number of factors and AUC for SSF (P for trend < .001). In the validation cohorts, maternal BMI, breastfeeding, and child physical activity were replicated and showed a similar graded association with AUC for SSF (P for trend < .001) when combined.

Conclusions and Relevance

In this cohort study of South Asian children, 6 modifiable factors were associated with lower adiposity and combined into a single score. This score may be useful in clinical and public health settings to help mitigate childhood obesity in South Asian individuals and beyond.

High prevalence of overweight/obesity and central obesity among women in a rural district of Nepal in 2012-2013: a population-based study

Background

The prevalence of overweight is rapidly escalating, especially in South-Asia. We aimed to estimate the prevalence of overweight/obesity and central obesity, and associated risk factors among women in a rural setting of Nepal.

Methods

A cross-sectional study addressing reproductive health and non-communicable diseases (NCDs) was conducted 2012-2013 in a rural district of Nepal. Married, non-pregnant women ≥15 years of age were included. Height, weight, and waist circumference (WC) were measured, and body mass index (BMI) calculated. WHO cut-offs for Asians were used to assess the prevalence of overweight (23.0-27.4 kg/m2), obesity (≥ 27.5 kg/m2) and central obesity (WC ≥ 80 cm). Data concerning socioeconomic and lifestyle factors were collected.

Results

Altogether, 1,391 women 43.1 ± 14.4 years of age were included. The majority belonged to the Adhivasi/Janajati ethnicity, were uneducated and worked in agriculture. Altogether, 30.5% were overweight, 12.0% obese, and 34.2% centrally obese; 25.7% were both overweight/obese and centrally obese. Underweight (< 18.5 kg/m2) was observed in 9.6%. Among women with normal weight or underweight, 14.9 and 15.3% had central obesity, respectively. Hypertension was observed in 13.4% and was associated with both overweight/obesity and central obesity. Instant noodle intake ≥2 times weekly was associated with increased prevalence of central obesity and overweight/obesity.

Conclusion

We observed a high prevalence of overweight/obesity and central obesity among women in a rural district of Nepal, which entails an increased risk of metabolic complications and NCDs. Our findings underscore the need for public health programs addressing nutritional patterns and physical activity to prevent obesity.

Maternal obesity and offspring cardiovascular remodelling - the effect of preconception and antenatal lifestyle interventions: a systematic review

BACKGROUND

Preconception or antenatal lifestyle interventions in women with obesity may prevent adverse cardiovascular outcomes in the child, including cardiac remodelling. We undertook a systematic review of the existing data to examine the impact of randomised controlled trials of lifestyle interventions in pregnant women with obesity on offspring cardiac remodelling and related parameters of cardiovascular health.

METHODS

This review was registered with PROSPERO (CRD42023454762) and aligns with PRISMA guidelines. PubMed, Embase, and previous reviews were systematically searched. Follow-up studies from randomised trials of lifestyle interventions in pregnant women with obesity, which included offspring cardiac remodelling or related cardiovascular parameters as outcome measures, were included based on pre-defined inclusion criteria.

RESULTS

Eight studies from five randomised controlled trials were included after screening 3252 articles. Interventions included antenatal exercise (n = 2), diet and physical activity (n = 2), and preconception diet and physical activity (n = 1). Children were <2-months to 3-7-years-old, with sample sizes ranging between n = 18-404. Reduced cardiac remodelling, with reduced interventricular septal wall thickness, was consistently reported. Some studies identified improved systolic and diastolic function and a reduced resting heart rate. Risk of bias analyses rated all studies as 'fair' (some risk of bias). A high loss-to-follow-up was a common limitation.

CONCLUSION

Although there is some evidence to suggest that lifestyle interventions in women with obesity may limit offspring cardiac remodelling, further high-quality longitudinal studies with larger sample sizes are required to confirm these observations and to determine whether these changes persist to adulthood. Child offspring cardiovascular health benefits of preconception and antenatal lifestyle interventions in women with obesity.

A prediction model for childhood obesity risk using the machine learning method: a panel study on Korean children

Young children are increasingly exposed to an obesogenic environment through increased intake of processed food and decreased physical activity. Mothers' perceptions of obesity and parenting styles influence children's abilities to maintain a healthy weight. This study developed a prediction model for childhood obesity in 10-year-olds, and identify relevant risk factors using a machine learning method. Data on 1185 children and their mothers were obtained from the Korean National Panel Study. A prediction model for obesity was developed based on ten factors related to children (gender, eating habits, activity, and previous body mass index) and their mothers (education level, self-esteem, and body mass index). These factors were selected based on the least absolute shrinkage and selection operator. The prediction model was validated with an Area Under the Receiver Operator Characteristic Curve of 0.82 and an accuracy of 76%. Other than body mass index for both children and mothers, significant risk factors for childhood obesity were less physical activity among children and higher self-esteem among mothers. This study adds new evidence demonstrating that maternal self-esteem is related to children's body mass index. Future studies are needed to develop effective strategies for screening young children at risk for obesity, along with their mothers.

Relationships between intrauterine fetal growth trajectories and markers of adiposity and inflammation in young adults

BACKGROUND

There is now good evidence that events during gestation significantly influence the developmental well-being of an individual in later life. This study aimed to investigate the relationships between intrauterine growth trajectories determined by serial ultrasound and subsequent markers of adiposity and inflammation in the 27-year-old adult offspring from the Raine Study, an Australian longitudinal pregnancy cohort.

METHODS

Ultrasound fetal biometric measurements including abdominal circumference (AC), femur length (FL), and head circumference (HC) from 1333 mother-fetal pairs (Gen1-Gen2) in the Raine Study were used to develop fetal growth trajectories using group-based trajectory modeling. Linear mixed modeling investigated the relationship between adult body mass index (BMI), waist circumference (WC), and high-sensitivity C-reactive protein (hs-CRP) of Gen2 at 20 (n = 485), 22 (n = 421) and 27 (n = 437) years and the fetal growth trajectory groups, adjusting for age, sex, adult lifestyle factors, and maternal factors during pregnancy.

RESULTS

Seven AC, five FL and five HC growth trajectory groups were identified. Compared to the average-stable (reference) group, a lower adult BMI was observed in two falling AC trajectories: (β = -1.45 kg/m², 95% CI: -2.43 to -0.46, P = 0.004) and (β = -1.01 kg/m², 95% CI: -1.96 to -0.05, P = 0.038). Conversely, higher adult BMI (2.58 kg/m², 95% CI: 0.98 to 4.18, P = 0.002) and hs-CRP (37%, 95% CI: 9-73%, P = 0.008) were observed in a rising FL trajectory compared to the reference group. A high-stable HC trajectory associated with 20% lower adult hs-CRP (95% CI: 5-33%, P = 0.011).

CONCLUSION

This study highlights the importance of understanding causes of the unique patterns of intrauterine growth. Different fetal growth trajectories from early pregnancy associate with subsequent adult adiposity and inflammation, which predispose to the risk of diabetes and cardiometabolic disease.

Maternal weight and gestational diabetes impacts on child health

PURPOSE OF REVIEW

To review recent evidence linking maternal body mass index and gestational diabetes mellitus (GDM) with offspring health outcomes.

RECENT FINDINGS

It is now established that the rising prevalences of maternal obesity and GDM are both making substantial contributions to the growing burden of childhood obesity and associated disorders. Strengthening evidence also links maternal obesity with increased offspring risks of cardiovascular disease, nonalcoholic fatty liver disease, lower respiratory tract infections during infancy, wheezing illnesses, asthma and attention deficit hyperactivity disorder during childhood, and with higher risks of psychiatric disorders and colorectal cancer in adulthood. GDM has been associated with increased offspring risks of cardiovascular disease, childhood wheeze/asthma (but not allergic sensitization), and with high refractive error, attention deficit hyperactivity and psychiatric disorders from childhood onwards.

SUMMARY

The long-term consequences of maternal obesity and GDM for the offspring in childhood and later adult life present major challenges for public health across the life course and for future generations. Tackling these challenges requires a systems-based approach to support achieving a healthy weight in young people prior to conception, alongside new insights into population based preventive measures against gestational diabetes.

Predicting the earliest deviation in weight gain in the course towards manifest overweight in offspring exposed to obesity in pregnancy: a longitudinal cohort study

BACKGROUND

Obesity in pregnancy and related early-life factors place the offspring at the highest risk of being overweight. Despite convincing evidence on these associations, there is an unmet public health need to identify "high-risk" offspring by predicting very early deviations in weight gain patterns as a subclinical stage towards overweight. However, data and methods for individual risk prediction are lacking. We aimed to identify those infants exposed to obesity in pregnancy at ages 3 months, 1 year, and 2 years who likely will follow a higher-than-normal body mass index (BMI) growth trajectory towards manifest overweight by developing an early-risk quantification system.

METHODS

This study uses data from the prospective mother-child cohort study Programming of Enhanced Adiposity Risk in CHildhood-Early Screening (PEACHES) comprising 1671 mothers with pre-conception obesity and without (controls) and their offspring. Exposures were pre- and postnatal risks documented in patient-held maternal and child health records. The main outcome was a "higher-than-normal BMI growth pattern" preceding overweight, defined as BMI z-score >1 SD (i.e., World Health Organization [WHO] cut-off "at risk of overweight") at least twice during consecutive offspring growth periods between age 6 months and 5 years. The independent cohort PErinatal Prevention of Obesity (PEPO) comprising 11,730 mother-child pairs recruited close to school entry (around age 6 years) was available for data validation. Cluster analysis and sequential prediction modelling were performed.

RESULTS

Data of 1557 PEACHES mother-child pairs and the validation cohort were analyzed comprising more than 50,000 offspring BMI measurements. More than 1-in-5 offspring exposed to obesity in pregnancy belonged to an upper BMI z-score cluster as a distinct pattern of BMI development (above the cut-off of 1 SD) from the first months of life onwards resulting in preschool overweight/obesity (age 5 years: odds ratio [OR] 16.13; 95% confidence interval [CI] 9.98-26.05). Contributing early-life factors including excessive weight gain (OR 2.08; 95% CI 1.25-3.45) and smoking (OR 1.94; 95% CI 1.27-2.95) in pregnancy were instrumental in predicting a "higher-than-normal BMI growth pattern" at age 3 months and re-evaluating the risk at ages 1 year and 2 years (area under the receiver operating characteristic [AUROC] 0.69-0.79, sensitivity 70.7-76.0%, specificity 64.7-78.1%). External validation of prediction models demonstrated adequate predictive performances.

CONCLUSIONS

We devised a novel sequential strategy of individual prediction and re-evaluation of a higher-than-normal weight gain in "high-risk" infants well before developing overweight to guide decision-making. The strategy holds promise to elaborate interventions in an early preventive manner for integration in systems of well-child care.