INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Skinfold Thickness: An Anthropometric Parameter to Determine the
Nutritional Status among College Girls
Monika Sharma*, Dr. Shashi Pathak
Department of Home Science, Shri Khushal Das University, Hanumangarh, Rajasthan, INDIA
Received: 11 January 2026; Accepted: 16 January 2026; Published: 28 January 2026
ABSTRACT
Body fat plays a crucial role in human physiology, and its distribution throughout the body influences the
health outcomes (1). The types of fats differ based on location, function, and metabolic impact. Anatomically,
there are several different depots of fat, including subcutaneous, visceral, intramuscular, intermuscular, and
ectopic (2). Skinfold thickness measurement at common sites of the body, like triceps, biceps, subscapular,
suprailiac, and thigh regions, provides an estimate of the body fat for health professionals to assess the health
of a person (3). This research examines the skinfold thickness measurements of 106 female students between
the ages of 16 and 25 years to evaluate their nutritional status. The measurement results of skinfold vary across
participant girls, ranging from 47 mm to 140 mm, indicating substantial differences in subcutaneous fat. The
Sum of skinfold (SSF) of samples Around 37.5% of the sample fell into the high-adiposity category (SSF >100
mm), while 33% had moderate levels of adiposity (SSF 70–100 mm). Subscapular and suprailiac skinfold
measurements were used to measure central adiposity, which was highest in girls with higher body weights.
Keywords: Anthropometric Parameter, Skinfold Thickness, Sum of Skinfold, body fat, Nutritional Status,
INTRODUCTION
Clinically, body fat is classified in five different categories depending upon the place it is stored in the human
body (2). First is Subcutaneous Fat, which is stored beneath the skin but above the muscles. This is about 90%
of the body fat and generally found around the thighs, abdomen, arms, buttocks and upper back of the body(4–
6). It is the fat, we observe when pinching. Main function of this subcutaneous fat is to store energy required
for various hormones, providing insulation and maintaining body temperature, to provide cushion and first
level of defence against injuries (1). Second is Visceral Fat, which surrounds the internal organs like, liver,
pancreas, intestines, heart, etc. It’s present deep inside the body and cushions the organs. This act as a source
of energy for organs, but having too much visceral fat may be harmful and causes metabolic disorder (7). Belly
fat comprises of both visceral and subcutaneous fat (8). Third is Intramuscular Fat, which is present in the
skeletal muscles. It’s main function is to provide energy to muscles, which help in locomotive activities.
Fourth is Intermuscular fat lies between muscles or between distinct muscle groups. Intermuscular fat plays an
important role in ageing, muscle health, and metabolic risk. Intramuscular fat is different from intermuscular
fat in terms of location of its presence, while the former is inside muscles and the later between muscles (9).
Generally, organs like the liver, heart, kidney, pancreas don’t store fat, therefore accumulation of fat around
them adversely affect their functioning. This is the fifth type of fat which is called Ectopic Fat (7). Ectopic fat
is harmful and causes metabolic diseases.
Many pathological techniques like Magnetic Resonance Imaging (MRI), Computed Tomography (CT),
Ultrasound, Biopsy, etc. are being used to measure the intermuscular fat, intramuscular fat, ectopic fat and
Visceral Fat in the human body. But, anthropometric methods of measurement of body fat, especially for
subcutaneous fat and visceral fat, is the first line of diagnosis of a person’s health and nutritional assessment.
Skinfold thickness measurement is a widely used, cost-effective, non-invasive, quick and less time-consuming
technique to assess the body fat and nutritional level. This study examines skinfold data obtained from 106
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