Indian Journal of Public Health Research & Development
  • Year: 2014
  • Volume: 5
  • Issue: 4

Assessment of Anthropometric Measurement Changes as Prognostic Tools for Early Diagnosis of Breast Cancer among Urban Women in Northern & Southern India

  • Author:
  • Balbir Singh1,, Hrushikesh Deshmukh2, Prasanth Venela2, Priyanka Ammika2, Trupti Somwanshi2, T Bhaskar1, Vibha Venkataraman1
  • Total Page Count: 4
  • Page Number: 95 to 98

1Apollo Hospitals Educational & Research Foundation (AHERF), Medical Sciences Building, 3rd Floor, Apollo Health City, Jubilee Hills, Hyderabad, Andhra Pradesh, India

2Association for Rural and Urban Needy (ARUN), Plot # 37112/4, Sri Colony, Neredmet X Road, R.K. Puram, Secunderabad, Andhra Pradesh, India

*Corresponding author: Balbir Singh, Apollo Hospitals, Jubilee Hills, Hyderabad. A.P 500096. Ph: 9030690734. E-mail: balbirahs@gmail.com

Online published on 6 November, 2014.

Abstract

In India, outcome of breast cancer is worse as cases are usually presented in final stages so early diagnosis by simple means is important; therefore association of simple clinical changes such as in anthropometric measurements (Height, Weight, Body Mass Index (BMI), and Mid-Upper Arm Circumference (MUAC)) with early detection is assessed in this study.

A unmatched case-control study was performed on 1024 women aged between 30–60 yrs. Cases (n =512) included were newly diagnosed and treated for early breast cancer at two cancer hospitals in Bhopal and Hyderabad cities and controls (n=512) were from same age/sex group visiting the same hospitals and are without breast cancer between January 2011 to December 2011.

The study showed that mean weight of cases (67.7Kgs) was higher than controls (66.5Kgs) and statistically significant (‘independent t‘ test = 4.3 and p = < 0.05).No significant difference with respect to their mean height was observed. Mean MUAC of cases (36.5cms) was higher than controls (35.7cms) and is statistically significant (‘independent t’ test = 2.7 and p = < 0.05). No statistically significant association of age groups was observed. Females having BMI>24.99 were 1.56 times more at risk than females having BMI< 24.9 (OR: 1.5, at 95% CL and CI - 1.22–2.00). Postmenopausal females with BMI > 24.9 were 1.6 times more at risk than postmenopausal females having BMI<24.9 (OR: 1.6, at 95% CL and CI - 1.20–2.35).

These results showed that identification of changes in anthropometric measurements at an early stage helps in early diagnosis of breast cancer.

Keywords

Anthropometric Measurements, Breast Cancer, Postmenopausal Obesity