Retrospective Study of Eccentric Evaluation of Biological Age in Rural Population of India Based on its Social-Demographic Parameters
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Abstract
BACKGROUND: The preliminary way people define their age which likely based on the amount of time elapsed from the birth in terms of the number of years, months, days etc., which said to be the ‘Chronological Age’. Regardless of the chronological age, the physical condition of the body determines the biological age or physiological age or functional age, which depends on several factors such as, genetics, cellular functions, lifestyle diseases and disorders, nutritional behavior, gut microbiome and other clinical conditions. The social-demographic parameters like population density, poverty in population groups, education, unemployment, poor food habitsand hygiene and occupation-specific physical activities. It has evidenced from objective measures within and outside the body that the biological age is different from the actual chronological age.
AIM: Idiosyncratic evaluation of biological age in rural population of India based on its social-demographic parameters.
MATERIAL AND METHODS: A population-based retrospective study was conducted in a rural area and collected data in the form of a secondary source. Biological age was measured by using a standard instrument. Individuals having age 18 to 50 years old included and any other co-morbid medical or surgical illness and physically handicapped participants were excluded.
RESULTS: We observed that 26% of people are preferred to only veg food in their life. The proportion of non-vegetarian people is larger than vegetarian people. Correlation between biological age, chronological ageandBody Mass index (BMI) was positive as compared to the systolic blood pressure, diastolic blood pressure and blood sugar respectively. The respondents' increasing BMI showed that about 25% were obese or overweight in a rural area.
CONCLUSIONS: The relation between social-demographic parameters and the biological ageing process has been studied for the rural population. The study provided a statistically significant explanation about the complex interaction between different parameters taken into consideration under biological ageing.