Prevention of excess gain

Studying the impact of COVID-19 mitigation policies on childhood obesity, health behaviors, and disparities in an observational cohort: Protocol for the COVID-19 Family Study

BACKGROUND

COVID-19 pandemic control policies, including school closures, suspended extra-curricular activities, and social distancing, were introduced to prevent viral transmission, and disrupted children's daily routines, health behaviors, and wellness. This observational cohort study among 697 families with children or adolescents, based on the Family Stress Model, aims to: 1) evaluate pre- to during-pandemic changes in child health behaviors (diet, physical activity, sleep) and weight gain, 2) identify mechanisms explaining the changes, and 3) determine projected healthcare costs on weight gain and obesity. Each aim includes an examination by racial and ethnic, socioeconomic, and geographic disparities.

METHODS

The study employs a mixed methods design, recruiting children and their caregivers from two obesity prevention trials halted in 2020. Enrolled participants complete annual surveys to assess child health behaviors, family resources, routines, and demographics, and home environment in 2020-2022. Height and weight are measured annually in 2021-2022. Annual semi-structured interviews are conducted within a subsample to understand mechanisms of observed changes. Multilevel mixed models and mediation analyses are used to examine changes in child health behaviors and weight gain and mechanisms underlying the changes. Qualitative data are analyzed within and across time points and integrated with quantitative findings to further explain mechanisms. Markov models are used to determine healthcare costs for unhealthy child behaviors and weight gain.

CONCLUSION

Findings from this study will aid in understanding pandemic-related changes in child health behaviors and weight status and will provide insights for the implementation of future programs and policies to improve child and family wellness.

Prevention of excess weight gain in paediatric primary care: beverages only or multiple lifestyle factors. The Smart Step Study, a cluster-randomized clinical trial

BACKGROUND

Insufficient evidence exists to support obesity prevention in paediatric primary care.

OBJECTIVES

To test a theory-based behaviour modification intervention delivered by trained paediatric primary care providers for obesity prevention.

METHODS

Efficacy trial with cluster randomization (practice level) and a 12-session 12-month sweetened beverages decrease intervention or a comprehensive dietary and physical activity intervention, compared with a control intervention among children ages 8-12 years.

RESULTS

A low recruitment rate was observed. The increase in body mass index z-score (BMIz) for the 139 subjects (11 practices) randomized to any of the two obesity interventions (combined group) was less than that of the 33 subjects (five practices) randomized to the control intervention (-0.089, 95% confidence interval [CI]: -0.170 to -0.008, P = 0.03) with a -1.44 kg weight difference (95% CI: -2.98 to +0.10 kg, P = 0.095). The incidences of obesity and excess weight gain were lower in the obesity interventions, but the number of subjects was small. Post hoc analyses comparing the beverage only to the control intervention also showed an intervention benefit on BMIz (-0.083, 95% CI: -0.165 to -0.001, P = 0.048).

CONCLUSIONS

For participating families, an obesity prevention intervention delivered by paediatric primary care clinicians, who are compensated, trained and continuously supported by behavioural specialists, can impact children's BMIz.

Convergence of prevalence rates of diabetes and cardiometabolic risk factors in middle and low income groups in urban India: 10-year follow-up of the Chennai Urban Population Study

AIM

The aim of this study was to look for temporal changes in the prevalence of diabetes and cardiometabolic risk factors in two residential colonies in Chennai.

METHODS

Chennai Urban Population Study (CUPS) was carried out between 1996-1998 in Chennai in two residential colonies representing the middle income group (MIG) and lower income group (LIG), respectively. The MIG had twice the prevalence rate of diabetes as the LIG and higher prevalence rates of hypertension, obesity, and dyslipidemia. They were motivated to increase their physical activity, which led to the building of a park. The LIG was given standard lifestyle advice. Follow-up surveys of both colonies were performed after a period of 10 years.

RESULTS

In the MIG, the prevalence of diabetes increased from 12.4 to 15.4% (24% increase), while in the LIG, it increased from 6.5 to 15.3% (135% increase, p < .001). In the LIG, the prevalence rates of central obesity (baseline vs follow-up, male: 30.8 vs 50.9%, p < .001; female: 16.9 vs 49.8%, p < .001), hypertension (8.4 vs 20.1%, p < .001), hypercholesterolemia (14.2 vs. 20.4%, p < .05), and hypertriglyceridemia (8.0 vs 23.5%, p < .001) significantly increased and became similar to that seen in the MIG.

CONCLUSION

There is a rapid reversal of socioeconomic gradient for diabetes and cardiometabolic risk factors in urban India with a convergence of prevalence rates among people in the MIG and LIG. This could have a serious economic impact on poor people in developing countries such as India.