Keywords
Childhood obesity, overweight, prevalence, risk factors, socio-economic
Obesity is one of the most important global issues affecting children and adolescents. The most serious lifestyle effects of adolescents’ obesity and overweight are health risks that continue into adulthood, including hypertension, dyslipidemia, hyperinsulinemia, type 2 diabetes, behavioural issues, and cardiovascular diseases. India is among the many developing nations where childhood and adolescent obesity has become a serious public health issue. Adolescence is the most important stage in physical activity, growth and development. Adolescence is a start of personal decision-making sense and the development of a customized lifestyle, including the early onset of illness, accounting for approximately 35% of the global disease burden. Many of these behavioural choices have been linked to obesity risk factors, which are mostly controlled for, such as unhealthy eating behaviour, excessive television watching, and lack of activity. While undernutrition and deficiencies in micronutrients are serious public health problems in India, obesity and overnutrition have become major problems in several areas.
This study aims to assess Obesity among adolescents in rural Wardha.
A cross-sectional study will be conducted in the rural community area of the Wardha District. A questionnaire-based face-to-face interview will be conducted with participants in the adolescent age group (10-19 years). This study aimed to identify variables associated with demographic data, age group, genetic factors, types of family, parents’ education, occupation, socioeconomic status, physical activity, and various types of food intake.
The findings of this study could be significant in the implementation of laws, programs, and initiatives to promote awareness of the associations between adolescent obesity and risk factors for lifestyle diseases. This message focuses on having a balanced diet while exercising in regular physical activity. The prevalence of obesity is reduced by this lifestyle disease.
Childhood obesity, overweight, prevalence, risk factors, socio-economic
Obesity and overweight are major contributing factors for many chronic illnesses, such as diabetes, heart disease, and cancer. In many developing nations, including India, adolescent obesity has become an important public health problem.1 Obesity, particularly childhood obesity, is a critical global health concern, and various health organizations, including the World Health Organization (WHO), have addressed it as a significant public health problem.2 Significant changes in physical, cognitive, and psychological factors characterize adolescence an essential and dynamic period for human development. This stage, typically occurring between the ages of 10-19 years, is an essential period for adolescent body growth and development. The early appearance of disease in approximately 35 per cent of the worldwide disease burden occurs during adolescence.3 Fast-food consumption is a global phenomenon. The fast-food sector in India is growing at an average of 40% annually. Fast food consumption in India ranks 10th in the world, with each person spending 2.1% of the country’s annual total expenditures on it.4 The persistence of overweight and obesity after adolescence is a major public health concern, with far-reaching consequences associated with health risks.5 Early childhood obesity is important because it increases the risk of obesity in adulthood and frequently results in higher morbidity and mortality in early adulthood.6 According to a World Health Organization (WHO) study, there are 300 million obese people and 1 billion overweight people worldwide. Overweight and obesity are pandemics worldwide, the third-most obese nation in the world in India.7 Obesity is defined as the excessive development of adipose tissue caused by an increase in the number of fat cells, their size, or a combination of both.8 Socioeconomic and psychological factors can also contribute to childhood obesity. The main cause of adolescent obesity is the consumption of high-calorie foods, combined with the absence of physical activity. The psychological factors that can lead to adolescent obesity include social isolation, anxiety, and familial stress. Children also frequently consume too much food to cope with their emotions and problems.9 The development and persistence of obesity in adolescents may be due to a significant effect of lifelong factors, such as food patterns and sedentary activities. Children and adolescents usually eat less fruit and vegetables and more fast food and carbonated drinks than adolescents, which have outdoor games and social activities. This has been caused by a higher risk of obesity in adulthood. Consumption of a large number of fruits and vegetables has been associated with a reduced risk of obesity.10
Numerous studies have been conducted on the risk factors for obesity among adolescents in various regions of India, with many of these studies concentrating on children and adolescents. However, only a few studies have examined potential risk factors, such as, that can result in mental health issues. A study on obesity among adolescents aged 10-19 years in the rural field practice area of the Department of Community Medicine in the Wardha District.
The present study will be conducted in an adolescent age group (10-19 years) in the rural Wardha district.
This study is expected to span a period of 6 months, including recruitment, data collection and analysis.
Both the boys and girls of adolescent age group of 10-19 years will be of rural Wardha district.
Inclusion criteria: study participants (10-19 years) who were willing to participate.
Exclusion criteria: Those not willing to participate in the study.
Minimum sample size required
Proportion = 5.4% Adolescent obesity percentage.
P = 5.4% = 0.054 (As per reference article)
D = estimated error (5%) = 0.05
Minimum sample size required: 79.11
As a result, a sample size of 79 adolescent obesity patients will be used for interviews.
This study will be going to use a simple random sampling. A questionnaire will be used to interview the study participants to elicit the information on individual socio-demographic characteristics, physical activity, food habits like age, sex, eating habits, and time spent on watching television and outdoor games. Anthropometric measurements viz. height, weight, waist circumference, hip circumference was measured. An interview technique using the online tool kobo collect (https://www.kobotoolbox.org/) will be used. This will be done until the desired sample size is achieved.
Variables associated with socio-demographic data, age group, genetic factors, family size, economic status, physical activity, and junk food consumption.
An in-depth interview will be used to conduct among randomly selected participants until data saturation is reached. All important information, variables, data sources, methods are shown in Table 1.
A study focused on assessing various aspects of childhood health, including sociodemographic profile, physical activity, dietary intake, and anthropometric measurements. Using a pre-tested semi-structured questionnaire is a good approach for gathering standardized information. Each child’s assessment of height, weight, triceps skin fold thickness (TSFT) measurements, and waist circumference will be measured.
Those undertaking the survey using their device/phone will have the consent check box before ticking.
This study participants will be selected using a simple random sampling method from pre-university. Written permission will be obtained from the heads of the selected rural government schools. The questionnaire will be administered to early adolescents who fulfil the eligibility criteria with the help of their respective class teachers. Data will be collected from 5th, 6th, 7th, 8th, 9th, 10th, 11th and 12th grade students. The questionnaires will be provided on the sociodemographic profile, genetic factors, types of family, parents’ education, occupation, physical activity pattern, and dietary intake; then, the filled-up data will be collected, and further process will be initiated.
Bais: Information Bias. Recall bias.
The data will be entered in Microsoft Excel. This data will be encoded, and the data will be analysed using R Statistical software 4.3.2 version (https://www.r-project.org/). The data will be tabulated and visualized through graphs and tables. Inferential statistics like T-test and chi-square tests will be used.
This study aimed to identify the risk factors associated with obesity and the prevalence of overweight and obesity among adolescents. Also This study also revealed an association between the demographic factors and obesity.
The approval for carrying out this study has been commenced from Institutional Ethics Committee of Datta Meghe Institute of Higher Education and Research, Ref. No. DMIHER (DU) IEC/2023/38) on Dated 20/12/2023.
Consent: Written permission will be obtained from the heads of the identified rural government schools. The written consent will be in local language (Marathi) for more clarity and better understanding. Measures will be taken to ensure confidentiality of the information throughout the study.
The following studies conducted on this subject by recognized researchers were cited in this study. George et al. (2012) conducted a cross-sectional study at the Nehru Memorial Public School in a rural Kollam area in Kerala State. Body mass index (BMI), weight, and height were also measured. Overweight was observed in 15% of girls and 19% of boys. The Obesity prevalence was 8% in females and 6% in boys. In boys, underweight was more common (3%), in girls, it is 10%). Furthermore, compared to females, boys were more likely to be overweight, while girls were more likely to be obese.12
Sitaula et al. (2022) conducted institution-based cross-sectional research; 267 adolescents were found to be 14.6% obese and 14.6% overweight. 12.6% Of male children in the study were overweight, compared with 39.6% of the female participants who were in this category of obesity. 16.5% of the participants overall—14.0% of the girls and 20.4% of the males—were underweight. Adolescent girls are almost five times more likely to be overweight than are male adolescents.13
Seema et al. (2018-19), a cross-sectional study, was used in observational research. 6.8% of adolescents were found to be fat and 17.1% to be overweight. 22.3 per participants have been identified as underweight, and the remaining 53.8% were in the normal BMI group. A strong correlation was found between gender, financial position, eating habits, chocolate consumption, when adolescents arrive at school, participation in sports, physical exercise, and screen time. Teens who enjoyed sports and engaged in physical exercise had healthy body mass indices. These were only a few factors contributing to the high rate of obesity among adolescents, were also at greater risk of being fat.6.8% of adolescents were found to be fat, and 17.1% were overweight.14
Pathak et al. (2016) conducted a cross-sectional study at private schools in Vadodara, Gujarat, in both urban and rural areas. According to this frequency, these children were underweighted, overweight, obese, and normal. The odds ratio was 17.7 in Favour of urban living, with 65.22% of urban males and 62.26% of urban females being obese or overweight compared to 15.78% of rural men and 3.92% of females. There were statistically significant changes in family yearly income, the more in-person training sessions conducted in a school, and more frequent in restaurant and school canteen meals. There was no statistically significant correlation observed between the two groups and other characteristics, such as eating breakfast before school, enjoying fast food, participating in outside activities, using electronics during meals, and having fat family members.15
Shete et al. (2017–18) conducted a cross-sectional study with study participants ranging in age from 11 to 16 years at the Chhatrapati Shahu Vidyalaya in New Palace, Kolhapur, Maharashtra. Among those involved, boys made up 58.9%. The 13–14 age group comprised 66.7% of the student group. 8.7% of adolescents were obese and 46.9% were underweight according to the body mass index. Junk food was consumed more than once per week by 77.3% of individuals.7
The findings of this study could be significant in the implementation of laws, programs, and initiatives to promote awareness of the associations between adolescent obesity and risk factors for lifestyle diseases. This message focuses on having a balanced diet while exercising in regular physical activity. The prevalence of obesity is reduced by this lifestyle disease.
To validate these results more precisely, a large number of children will be involved in government schools. In other methods of assessing overweight, such as waist-hip circumference, during the interview, there may be potential behavioural, recall bias for dietary patterns, physical activities, and sedentary behaviour of the participants.
Figshare: Questionnaire for “Study of Obesity among Adolescents in Rural Wardha District”, https://doi.org/10.6084/m9.figshare.25610652.v1. 16
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
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Is the rationale for, and objectives of, the study clearly described?
No
Is the study design appropriate for the research question?
No
Are sufficient details of the methods provided to allow replication by others?
No
Are the datasets clearly presented in a useable and accessible format?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Overweight and ObesityBody Mass Index (BMI)School SportsSocial-Ecological Model (SEM) (e.g., Intrapersonal, Interpersonal, School, Community)24-Hour Movement BehaviorChildren and Adolescents – The YouthInterventions
Alongside their report, reviewers assign a status to the article:
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