Hyperinsulinemia: an early biomarker of metabolic dysfunction.

Introduction: Hyperinsulinemia in the absence of impaired glucose tolerance and normal HbA1c is considered indicative of pre-diabetes. Very few Indian studies have focused on hyperinsulinemia particularly in young adults. The present study aimed to determine whether hyperinsulinemia may be present despite HbA1c being normal. Methods: This was a cross-sectional study conducted on adolescents and young adults aged 16-25 years living in Mumbai, India. The participants attended various academic institutions and were those who underwent screening as the first step of a clinical trial for studying the efficacy of almond intake in prediabetes. Results: Among this young population (n=1313), 4.2% (n=55) of the participants were found to be prediabetic (ADA criteria) and 19.7% of them had HbA1c levels between 5.7%-6.4%. However, almost, 30.5% had hyperinsulinemia inspite of normal blood glucose levels and normal HbA1c. Among those with HbA1c<5.7 (n=533), 10.5% (n=56) participants had fasting insulin>15 mIU/L and a higher percentage (39.4%, n=260) had stimulated insulin above 80 mIU/L. These participants had higher mean anthropometric markers than those with normal fasting and/or stimulated insulin. Conclusion: Hyperinsulinaemia in the absence of impaired glucose tolerance and normal HbA1c may provide a much earlier indicator of detection for risk of metabolic disease and progression to metabolic syndrome and diabetes mellitus.

Socioeconomic, intrapersonal and food environmental correlates of unhealthy snack consumption in school-going adolescents in Mumbai.

BACKGROUND: Unhealthy snacking habits in adolescents are typically triggered by obesogenic food environments and possibly perpetuated through interactions between socio-environmental factors and personal perceptions, attitudes, and motivations to change eating behaviors. This study attempted to address the knowledge gap regarding the association of intrapersonal, socioeconomic, and food environmental characteristics with unhealthy snack consumption in Indian adolescents, presenting several targets for effective interventions. METHODS: A representative sample of 10-12 years old adolescents (n 712) completed a cross-sectional survey including eating habits, characteristics of school and home food environments, and perceptions related to affordability, convenience, and barriers within the food environments. The frequency of unhealthy snack consumption was assessed using a validated qualitative food frequency questionnaire. Multivariate regression analyses determined the associated factors of unhealthy snack consumption in adolescents attending private and public schools. RESULTS: The mean age of adolescents was 10.9 (1.1) years, 48.2% were girls and 53.9% attended private schools. The most frequently consumed unhealthy snacks were biscuits/ cookies (5.2d/wk) followed by wafers (3.4d/wk) and Indian fried snacks- samosa/ vada pav (2.8 d/wk). Among the public-school adolescents, the odds of unhealthy snack consumption were 0.89 times lower when meals were had frequently at the dinner table and 4.97 times higher when the perceived barriers related to the affordability of healthy snacks were greater. Maternal education (OR 0.78, 95% CI 0.66-0.82, p < 0.001), family income (OR 2.15, 95% CI 1.98-2.32, p < 0.001), availability of unhealthy snacks (OR 2.98, 95% CI 1.36-3.46, p < 0.001) and fruits (OR 0.57, 95% CI 0.49-0.69, p < 0.001) at home, having evening meals together (OR 0.71, 95% CI 0.63-0.81, p 0.031), and perceived parental control during mealtimes (OR 0.67, 95% CI 0.62-0.72, p < 0.001) were associated with unhealthy snack consumption in adolescents attending private schools. CONCLUSIONS: The results highlighted a pervasiveness of unhealthy snacks in adolescents' food environments. Improving provisions and affordability of fruits and healthy snacks at schools, encouraging family mealtimes, and limiting the availability of unhealthy snacks at home whilst addressing the perceived barriers within food environments, and inculcating self-efficacy skills can improve snacking habits in Indian adolescents, irrespective of socioeconomic backgrounds.

Impact of screen time during COVID-19 on eating habits, physical activity, sleep, and depression symptoms: A cross-sectional study in Indian adolescents.

OBJECTIVE: This study attempted to address the limited knowledge regarding the impact of screen time (ST) on lifestyle behaviors in Indian adolescents during the ongoing COVID-19 pandemic. The objectives were to 1) evaluate frequency and duration of using screens, and screen addiction behaviors in 10-15 years old adolescents in Mumbai during the COVID-19 pandemic and 2) examine the association of ST with lifestyle behaviors- eating habits, snacking patterns, physical activity (PA) levels, sleep quality and depression symptoms. METHODS: An online survey was completed between January and March 2021. Eating habits, snacking patterns, time spent in different screen-based activities, and screen addiction behaviors were reported. The PA levels, sleep quality, and depression symptoms were evaluated using the Physical Activity Questionnaire for Children/Adolescents (PAQ C/A), Pittsburg Sleep Quality Index (PSQI), and Patient Health Questionnaire-2 (PHQ-2) respectively. Multiple linear regression analyses were performed to determine the impact of ST on lifestyle behaviors. RESULTS: Adolescents (n = 1298, Mage 13.2(1.1), 53.3% boys) reported the mean weekday and weekend ST as 442.3 (201.5) minutes/d and 379.9 (178.2) minutes/d respectively. Overall, 33.4% spent > 6hours/d for studying or doing homework, 65.4% used social networking sites for at least 2-3 hours/d, and 70.7% agreed that ST had taken up the majority of their leisure time. Only 12% engaged in moderate to vigorous PA (PAQ C/A scores <2). More than half (52.5%) reported PSQI >5 indicating poor sleep quality and 8.6% scored ≥ 3 on PHQ-2 to suggest a risk of depression. A higher ST was associated with lower PA and increased sleep problems and a greater screen addiction was inversely associated with the eating habit, PA, and sleep-related variables. CONCLUSION: The study draws attention to a high prevalence of excess ST and its impact on eating habits, PA levels, and sleep quality in Indian adolescents during the COVID-19 pandemic. Targeted health promotion interventions that encourage judicious use of screens for education and entertainment and emphasize the adverse health effects of excess ST are required.

Independent and combined influences of physical activity, screen time, and sleep quality on adiposity indicators in Indian adolescents.

BACKGROUND: Inadequate physical activity (PA), excess screen time (ST), and sub-optimal sleep quality tend to co-occur during adolescence. Yet, little is known about the associations of these behaviors as a cluster with adiposity indicators in Indian adolescents. This study aimed to evaluate the independent and combined influences of PA, ST, and sleep quality on body mass index (BMI) and waist to height ratio (WHtR) in 10-15 years old adolescents in Mumbai, India. A secondary aim was to explore if these influences vary between sexes. METHODS: Cross-sectional study. Adolescents (n = 772, mean age 13.2 (1.4) years) reported frequency and duration of moderate to vigorous PA (MVPA) and time spent using screens on a previously validated instrument. Sleep quality was estimated using the Pittsburg Sleep Quality Index (PSQI). Weight, height, and waist circumference were measured. Mixed effect logistic regression analyses were performed to explore associations between adiposity indicators (BMI z scores > +1SD and WHtR > 0.5) and unhealthy behaviors (PA < 60 min/d, ST > 120 min/d and PSQI scores > 5), stratified by sex. RESULTS: The combined prevalence of overweight and obesity was 38.3%. Overall, 62.0 and 85.0% reported MVPA< 60 min/d and ST > 120 min/d respectively. Girls reported higher ST (218.21 (69.01) min/d) as compared to boys (165.3 (101.22) min/d, p < 0.001). Clustering of low PA and excess ST was observed in 69.2% and of all three unhealthy behaviors in 18.8%. Among girls, MVPA < 60 min/d (OR = 1.78, 95% CI 1.54-1.92, p < 0.001) and PSQI scores > 5 (OR = 2.01, 95% CI 1.78-2.25, p < 0.001) predicted increased BMI. The odds of overweight/obesity were 2.10 times higher in boys reporting low PA and 4.13 times higher in those with low PA+ ST > 120 min/d. Clustering of all three unhealthy behaviors increased prevalence of obesity in both sexes. CONCLUSIONS: The results indicated a co-existence of multiple unhealthy lifestyle factors of obesity and that clustering of these behaviors can further aggravate obesity risk as compared to their independent effects. Integrated interventions that leverage the cumulative benefits of being active, less sedentary and sufficient sleep are warranted to facilitate greater improvements in obesity risk behaviors.

Effect of Almond Consumption on Metabolic Risk Factors-Glucose Metabolism, Hyperinsulinemia, Selected Markers of Inflammation: A Randomized Controlled Trial in Adolescents and Young Adults.

A large percentage of the Indian population has diabetes or is at risk of pre-diabetes. Almond consumption has shown benefits on cardiometabolic risk factors in adults. This study explored the effect of almond consumption on determinants of metabolic dysfunction-blood glucose, lipids, insulin and selected inflammatory markers in adolescents and young adults aged 16-25 years from Mumbai city. This randomized controlled trial was conducted for a period of 90 days on individuals with impaired levels of fasting glucose levels between 100-125 mg/dL (5.6-6.9 mmol/L) and 2-h post-glucose value 140-199 mg/dL (7.8-11.0 mmol/L) and/or fasting insulin (≥15 mIU/ml)/stimulated insulin (≥80 mIU/ml). Of 1,313 individuals screened, 421 met the inclusion criteria, of which 275 consented to participate and 219 completed the trial. The trial was registered with Clinical Trials Registry India (CTRI) CTRI/2018/02/011927. The almonds group (n = 107) consumed 56 g almonds daily, the control group (n = 112) was provided an iso-caloric cereal-pulse based snack. At baseline and endline, blood glucose, insulin, HbA1c, LDL-c, HDL-c, total and ox-cholesterol, triglycerides, hs-CRP, IL-6, TNF-α, adiponectin, leptin were measured and HOMA-IR and FG:FI ratios were calculated. Dietary intakes were assessed. The anthropometric measurements, biochemical markers as well as macronutrient intakes did not differ significantly between the two groups at baseline. Almond consumption significantly decreased HbA1c, total cholesterol and LDL-c. Stimulated insulin decreased post-intervention in both groups, but the decrease was greater in the almonds group. Fasting glucose was reduced post intervention in the controls with no change in the almonds group. FG:FI ratio decreased in the almonds group. TNF-α and IL-6 decreased in the almonds group, while it increased in the control group. Our results showed that almonds reduced HbA1c, LDL-c and total cholesterol levels in just 12 weeks of consumption in these adolescents and young adults who were at risk for developing diabetes. Almonds can be considered as part of food-based strategies for preventing pre-diabetes. Clinical Trial Registration: ClinicalTrials.gov, identifier: CTRI/2018/02/011927.

Development and validation of a questionnaire measuring knowledge, attitudes, and practices (KAP) to healthy eating and activity patterns in school children (HEAPS).

BACKGROUND: Development of culturally appropriate and psychometrically sound instruments that measure knowledge and health behaviors of children will help to inform appropriate interventions. AIM: To develop and test the validity and reliability of a questionnaire measuring knowledge, attitudes, and practices to healthy eating and activity patterns in school children in India. METHODS: Review of literature, focus-group discussions, and theoretical constructs of the Health Belief Model guided the development of an item pool. Face and content validity were assessed by children and a panel of experts and the item content validity, item difficulty, and discrimination indices were calculated. Construct validity was determined using the principal axis method of exploratory factor analysis among a cross-sectional sample of children (n=252). Internal consistency (Cronbach α values >0.7) and test-retest reliability (intraclass correlation coefficient values >0.75) were estimated. RESULTS: Item content validity index for clarity and relevance were satisfactory (>0.80) and internal consistency for knowledge (Kuder-Richardson 20 = 0.832), attitude (Cronbach's α = 0.912), and practice items (Cronbach's α = 0.769) were good. Four factors (children's eating habits, family dietary practices, and consumption of healthy and unhealthy foods) and two factors (moderate to vigorous activities and sedentary activities) explained 67.7% and 48.2% of the total variance in practice items. Intraclass correlation coefficient estimates ranged from good to excellent (0.72-0.99). CONCLUSIONS: The results of the validity and reliability of the 84-item knowledge, attitudes, and practices to healthy eating and activity patterns in schoolchildren questionnaire were promising. The detailed description of the methodology employed may prove useful to researchers conducting similar studies in children.

Impact of a behaviourally focused nutrition education intervention on attitudes and practices related to eating habits and activity levels in Indian adolescents.

OBJECTIVE: To evaluate the effectiveness of a behaviourally focused nutrition education (NE) intervention based on the Health Belief Model (HBM) to improve knowledge, attitudes and practices (KAP) related to eating habits and activity levels in 10­12-year-old adolescents in Mumbai, India. DESIGN: School-based cluster randomised controlled trial. The experimental group (EG) received weekly NE and three parent sessions over 12 weeks; no sessions were conducted for the control group (CG). The theoretical framework of HBM and focus group discussion results guided the development of behaviour change communication strategies and NE aids. KAP were measured using a validated survey instrument, administered at baseline and endline in EG and CG. Paired and independent t tests determined within-group and between-group changes in pre­post scores. SETTING: Two aided and two private schools that were randomly allocated to either an EG or CG. PARTICIPANTS: Adolescent boys and girls (n 498; EG n 292 and CG n 206). RESULTS: EG reported improvements in mean knowledge (39·3%), attitude (7·3 %), diet (9·6 %) and activity practice (9·4%) scores from pre to post intervention. No significant changes were observed in CG. Significant improvements in scores associated with perceived benefits, barriers and self-efficacy, breakfast and vegetable consumption, and moderate-to-vigorous activities were observed in EG. CONCLUSIONS: Integrating NE into the academic curriculum and adopting evidence-based lessons that entail targeted information delivery and participatory activities can improve knowledge, foster right attitudes and facilitate better eating and activity-related practices in Indian adolescents.

Eating habits and sleep patterns of adolescents with depression symptoms in Mumbai, India.

Adolescents with depression engage in unhealthy eating habits and irregular sleep patterns and are often at an increased risk for weight-related problems. Improvement in these lifestyle behaviours may help to prevent depression, but knowledge about the associations between depression, sleep, eating habits and body weight among adolescents in India is limited. This cross-sectional study investigated the prevalence of depression and its association with sleep patterns, eating habits and body weight status among a convenience sample of 527 adolescents, ages 10-17 years in Mumbai, India. Participants completed a survey on sleep patterns such as sleep duration, daytime sleepiness and sleep problems and eating habits such as frequency of breakfast consumption, eating family meals and eating out. Depression was assessed using the Patient Health Questionnaire modified for Adolescents (PHQ-A). Anthropometric measurements were also taken. Within this sample, 25% had moderate to severe depression (PHQ-A ≥ 10) and 46% reported sleeping less than 6 h > thrice a week. Adolescents with moderate to severe depression had significantly higher body mass index than those with minimal depression (26.2 ± 6.6 vs. 20.2 ± 4.8 kg/m2 ). The odds of having clinically significant depression (PHQ-A ≥ 10) was 4.5 times higher in adolescents who had family meals ≤ once a week, 1.6 times higher among those who were sleeping <6 h and 2.3 times higher among participants having trouble falling to sleep more than thrice a week. The findings indicated that a significant proportion of adolescents had depression symptoms; improving sleep and eating habits may present potential targets for interventions.