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Cross-Sectional Analysis of Nutritional Status, Knowledge and Uptake of Nutritional Services Among Adolescent Girls in Western India

Authors Saha S , Pandya A , Kandre Y, Raval D, Saxena D 

Received 1 September 2021

Accepted for publication 11 November 2021

Published 14 December 2021 Volume 2021:12 Pages 117—125


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Alastair Sutcliffe

Somen Saha,1 Apurvakumar Pandya,2 Yogini Kandre,1 Devang Raval,1 Deepak Saxena1

1Department of Public Health, Indian Institute of Public Health, Gandhinagar, Gujarat, India; 2Parul Institute of Public Health, Parul University, Vadodara, Gujarat, India

Correspondence: Somen Saha
Department of Public Health, Indian Institute of Public Health, Opp. Air Force Headquarter, Gandhinagar-Chiloda Highway, Near Lekawada Bus Stop, Gandhinagar, Gujarat, India
Tel +91-968-7207549
Email [email protected]

Purpose: Malnutrition status of adolescent girls remains a major public health problem in India. The present study assessed nutritional status, associated factors contributing to malnutrition and their access to health-care services in Dev Bhumi Dwarka district of Gujarat situated in western part of India.
Materials and Methods: The study was carried out using descriptive cross-sectional design. A total of 1252 adolescent girls from all four blocks of Dev Bhumi Dwarka district were interviewed by field investigators. The data were collected on socio-demographic characteristics, physical activities, diet, and anthropometry. The WHO classification for body mass index (BMI) was used to assess underweight, overweight, and obesity among adolescent girls. Chi-square analyses were performed to identify significant determinants of under-nutrition.
Results: Mean age of the study population was 13.82± 2.31. Of the total, around 34% of the adolescent girls were out-of-school. The prevalence of underweight (<-2SD) was 19.6%, 8.9% were overweight, and 2.6% were obese. The mean BMI was 19.77± 2.42 kg/m2, and height was 149.15 (2.23m2). In terms of knowledge, almost 79.6% were unaware of iron-deficiency anaemia, about 70% were not aware of haemoglobin test, and 44% did not know the benefit of using sanitary napkins. In addition, uptake of nutritional and health services was limited. The study found a statistically significant association of age (p = 0.00), the number of family members (p = 0.016), knowledge (p = 0.05), and use of toilet (0.041) with low-BMI.
Conclusion: Existing nutritional interventions need to focus on nutrition, health and hygiene education. It also reinforces a need for implementation research to understand barriers in uptake of health and nutrition services.

Keywords: adolescent nutrition, malnutrition, Gujarat, India


Globally, adolescents constitute one-fifth of the total global population.1,2 About 87% of adolescents reside in developing countries2 and India shares largest adolescent population with 243 million adolescents, which is 21% of the whole Indian population.3 This young population – people aged between 10 and 19 years – is a crucial group for addressing diverse health needs and protecting future generation from diseases.

The adolescence phase – transition from childhood to adulthood – is marked with rapid and intense physiological, psychological and sexual growth.4 It is also a time for growth spurts and increased physical activities.5–7 As a result, adolescents need more nutrients compared to adults. Inadequate nutrition can lead to delayed sexual development and slower linear growth.8,9 Malnutrition – either nutrition deficiency (underweight) or excess nutrition (over-weight or obesity) – leads to physical as well mental health problems in adolescents.10,12 For example, adolescents with nutrition deficiencies are likely to face short physique, cognitive impairment, mental functioning and reduced immunity whereas overweight and obese adolescents often experience low self-esteem, distorted body image and are at higher risk for developing noncommunicable diseases including mental disorders.7,10–12 Malnutrition has even more devastating effects on adolescent girls. In addition to common health risks, adolescent girls are more susceptible to infections, face difficulties in recovering from illnesses and surviving child birth in future or more likely to deliver low birthweight babies creating a vicious cycle.8,11–14

In India, malnutrition in adolescent girls is a big challenge. According to UNICEF,13 56% of girls are affected with anaemia – a form of malnutrition. The National Family Health Surveys reported that about 41.9% adolescent girls were underweight while 4.2% girls were overweight15 whereas about 57.2% women in the age group of 15–49 years (including adolescent girls) were anaemic.16 Addressing the burden of malnutrition among adolescent girls is important to support effective interventions to achieve the Sustainable Development Goal of ending malnutrition by 2030.12,17

Despite numerous health programs addressing adolescent health, accessibility and utilization of these programs remain problematic.10,16–18 Furthermore, studies on adolescent malnutrition are limited in the context of Gujarat state and minimal reliable data on adolescent nutrition available in Dev Bhumi Dwarka district – a district separated from the Jamnagar District on August 15th, 2013. Considering the new district, formative studies around public health and nutrition that inform program implementation is in an infancy stage. In view of these, the present study aimed at assessing nutritional status, access to nutritional and health services and factors associated with under-nutrition in adolescent girls from the Dev Bhumi Dwarka district of Gujarat state in Western India.

Materials and Methods

Study Design

Between February to March 2020, a descriptive cross-sectional, community-based survey of adolescent girls was conducted.

Study Sites

The present study was conducted in 249 villages of all four blocks of the Dev Bhumi Dwarka district, namely, Khambhaliya, Bhanvad, Kalyanpur, and Dwarka.

Sample Size

Based on the adolescent population in the district, the sample size was calculated using Open Epi. Considering 20% non-response rate with a relative allowable error of 15% and design effect of 1 at 95% significance level and alpha risk of 5%, the calculated sample size was 1300. The same size was calculated using the formula: N=Z p(1-p)/D [Where p is prevalence and D is absolute precision (Z = 1.96)]. We achieved 1252 sample size for the study.


Age, education, schooling status (school-going, non-school going), caste, religion, blocks (geographic locations), knowledge, uptake of nutrition and health services (such as receipt of Iron Folic Acid tablets, take-home ration and counselling from anganwadi centers), hygiene and sanitation (usage of toilet facility) practices were considered as independent variables for the study. Nutritional status as per the World Health Organization classification was dependent variable.

Study Instrument

The survey instrument was developed based on the review of previous national surveys in India15,16,28 and the published literature on adolescent nutrition.20,22–24,34–36 Detailed information on the socio-demographic of the beneficiaries, practices related to general hygiene, access to integrated child development and health services were collected using a pretested and validated questionnaire. Nutritional status was assessed using standard methods for anthropometry. Using a PRESTIGE HM007 mobile stadiometer (measuring range 20–205 cm), we measured adolescent girls’ height and their weight was measured using a PRESTIGE 150 digital scale (weight capacity 150 kg, division 100g). The World Health Organization classification was used for the assessment of malnutrition.19

Field investigators were trained on survey tool, interview method and anthropometry. They participated in a standardization exercise with 20 adolescent girls to assess Technical Error of Measurement. The inter-observer coefficient of reliability was 0.93 for height and 0.97 for weight.

Data Collection

Field investigators visited sampled households in all villages of the study area and interviewed adolescent girls using survey tool. After interview, height was measured using mobile stadiometer and weight was measured on a digital scale, both of which were carried to the field by investigators. For accuracy, measurements were taken twice and mean of the two measurements were calculated. We then calculated BMI. Age was calculated based on the participants' date of birth taken from birth card.

Data Analysis

The data were analyzed using SPSS software (version 20). The continuous variables were summarized using frequency, percentage, and mean with standard deviation (SD). For categorical variables, Chi-square test of independence was performed to identify significant determinants of malnutrition.

Ethical Considerations

Formal approval was sought from the state and the district authorities. We also sought consent for each village’s participation in the study from the Sarpanch, who is an elected representative and head of Panchayati Raj Institute – a local governance institution in the village. Field investigators explained the purpose of the study and processes to all adolescent girls and any parents. Adolescent girls were informed that their participation was voluntary, non-participation in the study would not disadvantage the family or adolescent in any way, and that they could stop the interview at any time or skip any questions they did not want to answer. Written informed consent from one of the parents or guardians and written assent from the adolescent girls were obtained.

This study was conducted in accordance with the Declaration of Helsinki. Ethical approval was obtained from the Institutional Ethics Committee of the Indian Institute of Public Health Gandhinagar. All data collected were anonymized, and kept in personal computer protected with password.


Of the total 1252 adolescent girls, more than half (57.9%) of them were in the age range between 10 and 14 years of age, whereas the rest of them (42%) were aged between 15 and 19 years. The mean age was 13.8 ± 2.31. Nearly half (47%) of the participants had completed secondary education (8 years of schooling), 42% of them had completed primary education (5 years of schooling) and about 4% had no formal education. More than a quarter (34.2%) were out-of-school while 66% of them were school-going. Table 1 presents the demographic characteristics of the study population.

Table 1 Demographic Characteristics (1252)

Knowledge About Health and Nutrition

Table 2 presents participants’ responses on adolescent girls’ knowledge about health and nutrition. Almost four-fifths of the participants (79.6%) had not heard about iron-deficiency anaemia. Thus, most of them were unaware of the signs and symptoms of anaemia. Moreover, 68% did not know about malnutrition. Knowledge related to menstrual hygiene was also poor. About 44% did not know the benefit of using sanitary napkins and about 40% of them reported the use of sanitary napkins during menstruation.

Table 2 Awareness About Anaemia Among Adolescent Girls (N = 1252)

Practice Related to General Hygiene

Results show variability in handwash practices. Participants reported handwash practices before and/or after critical incidents such as before preparing food, feeding a child, after latrine, cleaning home, etc.; however, only 17% of them followed handwash in all critical incidents as shown in Table 3. Most participants (87%) reported washing their hands with soap. Notably, 80% of participants stated to have a toilet at home and most of them (79.5%) use the toilet for defection.

Table 3 Practice Related to General Hygiene (N = 1252)

Uptake of Nutritional and Health Services

Anthropometric measurement on Mamta Diwas was acknowledged only by 43% of adolescent girls. As shown in Table 4, nearly 62.9% participants reported being checked for weight followed by counselling (51.4%), take-home ration (THR) (47.4%), and IFA & Calcium tablets (43.2%). Of those receiving THR, 77% of them reported receiving 1–2 packets, less than the prescribed guideline of 4 packets of THR per month.

Table 4 Nutritional and Health Services Availed by the Adolescent Girls (N = 1252)

While asking health-insurance-related questions, 78.4% of them denied having any Government health insurance scheme. Out of those who had health insurance (21.6% of the total), 18.8% had Maa Antyodaya Card, whereas a small percentage of the population had (2.2%) Prime Minister Jan Arogya Yojana.

Body Mass Index (BMI)

BMI of adolescents was classified using WHO BMI standards for the Asia-Pacific population.19 As noted in Table 5, not all participants agreed to anthropometric measurements; hence, we could gather anthropometric data for the 1240 sample. As per Classification, about 19.6% of participants had low BMI (<-2SD), 8.9% were overweight, and 2.6% were obese. The overall mean weight of the study population was 40.39 ± 9.84 kgs with a range being 17.2 kgs to 85.5 kgs, and the mean height was 149.18 ± 9.63 cm with a range minimum being 100.00 cm to a maximum of 189 cm.

Table 5 Grades of BMI for Age in Adolescent Girls According to WHO Asia Pacific Criteria (n = 1240)

In the present study, participants in early adolescence (10 and 14 years) and late adolescence (15 to 19 years) reported low BMI. However, mean height, weight, and BMI were less among the participants aged between 10 and 14 years (144.18, 28.4, 13.7 kg/m2, respectively) than 15 to 19 years (149.19, 40.34, 14.9 kg/m2). Participants between the ages of 10 and 14 years were more underweight (64.62%) than 15 to 19 years (35.84%). A chi-square test of independence showed significant association between age and underweight, X2 (121.87, N = 1240) = 10.33, p = 0.0002.

The association of age (p = 0.00), number of family members (p = 0.016), knowledge (p = 0.05), and use of toilet (0.041) with BMI categories was statistically significant. Table 6 depicts the association of socio-demographic parameters with BMI categories.

Table 6 Association of Socio-Demographic Parameters with Nutritional Status Among Adolescent Girls (n = 1240)


It is well acknowledged that nutritional status of adolescent girls is an important determinant of health outcomes.2,4,8,10–12 Hence, it is important to improve nutritional status of adolescent girls.

More than half of girls (57.9%) in our study population belonged to the category of early adolescence phase (10–14 years of age) and nearly half (42.0%) were late adolescence phase (15–19 years of age). The study revealed that more girls in the early adolescence phase had low BMI (64.62%) compared to girls in the age group of 15 to 19 years (35.84%) based on WHO standards. These findings are similar to earlier studies.21–23

In the present study, more than a quarter (34.2%) of the adolescent girls were out-of-school, and about 4% of adolescent girls had no formal education. Educational status was not significantly associated with underweight among adolescent girls, which was not in sync with an earlier study conducted in Maharashtra and Pondicherry,12,24 secondary analysis of the National Family Health Survey 425 and a recent study conducted in Northern Ethiopia26 and South West Ethiopia.27

About 19.6% of adolescent girls had low BMI (<-2SD). This prevalence is lower than the prevalence of underweight in Gujarat (28.5) and the national average (28.9%) reported in CNSS report.28 A study conducted in rural Gujarat by Trivedi et al in 201629 reported under-nutrition was in nearly half of the sample (46.3%). Similarly, studies conducted in West Bengal,30 Himachal Pradesh,14 Maharashtra,31 Assam23 reported higher prevalence of underweight (49%, 33%, 55%, 49.4%). Some studies conducted in developing countries24,26,27,34,35 also reported a higher prevalence of underweight among adolescent girls. These studies were conducted at different times using different standards with different cut-off points to assess the prevalence of underweight, overweight, and obesity.

Findings of the present study indicate the need for improving the nutritional status of adolescent girls. To improve nutritional status, various programs like adolescent health programme, Weekly IFA tablet Supplementation (WIFS), Rashtriya Kishor-Kishori Swasthya Karyakram (RKSK) and Poshan Abhiyan have been implemented. However, the present study showed poor uptake of these services. Various studies from Gujarat highlighted a high prevalence of underweight, ranging from 29.4% to 58.9% and poor service uptake of the health and nutrition services.29 Future studies should explore socio-cultural factors for lower malnutrition in Dev Bhumi Dwarka and understand barriers for adolescent girls in accessing nutritional and health services.

Various studies14,24,27,32–36 have reported a significant association of socio-demographic parameters like age, economic status, schooling status, family type, geographic locations, caste, knowledge, hygiene and sanitation practice with underweight. However, in the present study, only age, number of family members, knowledge, and use of toilet were statistically associated with BMI categories among adolescent girls. Although other factors were not statistically significant in the present study, their influence on the nutritional status of adolescent girls cannot be denied.

Adolescent nutrition should be prioritized with adequate improvement in the standards of living and timely health education. As Varma et al37 rightly pointed out, anemia is preventable disease and can be avoided by early screening and modification of diet. Thus, imparting knowledge about disease and its prevention should be made a thrust area in fight against anemia in adolescent. The fortification of diet along with supplementation of iron and folic acid for adolescent should be included in specific program in India.

Implications for Practices

Adolescent girls in Devbhumi Dwarka district reported poor nutritional status, although comparatively lower than reported in previous studies from the state. Their nutritional status is likely to worsen during pregnancy, and may lead to complications or give a birth to low-birth weight babies, which ultimately create a vicious intergenerational cycle of malnutrition. The present study also reinforces a need for implementation research to identify barriers of lower uptake of health and nutrition services and enhance the reach of the current health and nutrition interventions.

Existing programs such as RKSK and Poshan Abhiyan provide a platform for screening all adolescents (school-going and non-school going, both girls and boys) that need to be strengthened to increase access, coverage, outreach, and utilization of services by adolescent girls in the district. Further, these programs record and monitor the nutritional status of adolescents in rural areas and hence  offer scope for providing need-based timely counselling, treatment, and referral services. These opportunities should be leveraged by strengthening convergence between health and nutrition programs and enhancing health promotion and counselling efforts within existing interventions.

While national health programs broadly cover the main health issues in this population, local assessment of priorities and adaptation of program contents are necessary to ensure programs are relevant and effective. Thus, formative work to locally adapt the RKSK and Poshan Abhiyan Information, Education and Communication materials, training curriculum and implementation research is essential to optimize delivery of the intervention to different groups of adolescents.


The present study underscores the need for better nutrition and health interventions and implementation research to combat the problem of undernutrition among adolescent girls. Existing nutritional interventions need to focus on nutrition, health and hygiene education. Strengthening convergence between overarching health and nutrition programs may potentially improve the nutritional outcomes of adolescent girls. Implementation research should be encouraged to understand local barriers and enablers of effective program implementation.


The authors appreciate the support and co-operation received from Health Department, District Panchayat, Gujarat, for carrying out this study.


The authors declare that this study received funding from Nayara Energy. The funder had no role in study design, data collection and analysis, decision to publish, or manuscript preparation.


The authors report no conflicts of interest in this work.


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