Worry, Fear, or Attention? Is Generation Z Getting Metabolically Older Prematurely Due to Obesity?

Abstract Background: Childhood obesity is on the rise and is becoming a health challenge. This is the first study in Asia to evaluate the metabolic health of Generation Z (Gen Z) (patients born between 1997 and 2012) with moderate-to-severe obesity. Subjects and Methods: One hundred and eighty-four patients aged between 12 and 27 years old, 89 males and 95 females, with obesity grade ≥I, visiting a single bariatric center between 2015 and 2023 were investigated before any intervention, and the parameters were subsequently statistically analyzed using SPSS version 29:0. Statistically significant ( P < 0.05) findings were subjected to subgroup correlation. Results: The study analyzed a population with a mean body mass index of 41.7 ± 7.3 kg/m 2 , waist circumference of 118 ± 16.9 cm, and hemoglobin A1C of 6.0% ±1.3%. Blood sugar and insulin levels, total cholesterol, triglycerides, high-density lipoproteins, low-density lipoproteins, Vitamin B12, and Vitamin D3 levels were measured. Clinically, 92% had gynecomastia, 39.3% had pseudohypogonadism, and 63.4% had polycystic ovarian disease. Hypothyroidism was present in 12.5% of patients. Obstructive sleep apnea was prevalent in 54.9%, joint pain was 37%, and psychological disturbances were 25.5%. About 75.5% of the patients had more than 3 comorbidities. Conclusion: Gen Z’s early metabolic abnormalities raise concerns about long-term complications and obesity-induced diseases, necessitating an action plan for prevention and treatment to ensure their well-being.

Authors

Publication Details

Journal
Journal of Bariatric Surgery
Published
2024-09-01
DOI
https://doi.org/10.4103/jbs.jbs_16_24
Primary Topic
Psychological and Temporal Perspectives Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Worry, Fear, or Attention? Is Generation Z Getting Metabolically Older Prematurely Due to Obesity?

Elmutaz Abdalla Mekki Kanani, Shashank Shah, Sushil Kumar Kharat, Radhika Milind Shah et al.
Journal of Bariatric Surgery
Psychological and Temporal Perspectives Research
article

Worry, Fear, or Attention? Is Generation Z Getting Metabolically Older Prematurely Due to Obesity?

Elmutaz Abdalla Mekki Kanani, Shashank Shah, Sushil Kumar Kharat, Radhika Milind Shah, Poonam Shah
article en

Abstract

Abstract Background: Childhood obesity is on the rise and is becoming a health challenge. This is the first study in Asia to evaluate the metabolic health of Generation Z (Gen Z) (patients born between 1997 and 2012) with moderate-to-severe obesity. Subjects and Methods: One hundred and eighty-four patients aged between 12 and 27 years old, 89 males and 95 females, with obesity grade ≥I, visiting a single bariatric center between 2015 and 2023 were investigated before any intervention, and the parameters were subsequently statistically analyzed using SPSS version 29:0. Statistically significant ( P < 0.05) findings were subjected to subgroup correlation. Results: The study analyzed a population with a mean body mass index of 41.7 ± 7.3 kg/m 2 , waist circumference of 118 ± 16.9 cm, and hemoglobin A1C of 6.0% ±1.3%. Blood sugar and insulin levels, total cholesterol, triglycerides, high-density lipoproteins, low-density lipoproteins, Vitamin B12, and Vitamin D3 levels were measured. Clinically, 92% had gynecomastia, 39.3% had pseudohypogonadism, and 63.4% had polycystic ovarian disease. Hypothyroidism was present in 12.5% of patients. Obstructive sleep apnea was prevalent in 54.9%, joint pain was 37%, and psychological disturbances were 25.5%. About 75.5% of the patients had more than 3 comorbidities. Conclusion: Gen Z’s early metabolic abnormalities raise concerns about long-term complications and obesity-induced diseases, necessitating an action plan for prevention and treatment to ensure their well-being.

Journal of Bariatric SurgeryVol. 3(3)
Openalex Percentile: Top 67%
Psychological and Temporal Perspectives Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.