Abstract：
BACKGROUND: Examining the distribution of biochemical and haematological tests in different age groups of rural population is necessary to ensure that health care facilities are equipped to address the prevalent health conditions and manage age-related illness effectively. Hence, this study is aimed at seeing the distributions of blood biochemical and haematological parameters in rural population.
METHODS: This cross-sectional study investigated the distribution of 26 different haematological and biochemical parameters in longitudinal cohort study (Srinivaspura Aging, NeuoSenescence and COGnition - SANSCOG), from the villages of Srinivaspura, Kolar district, India. A total of 2592 participants (1240 males and 1352 females), aged ≥45 years who are cognitively healthy were included for the analysis. Mean, 2.5th, 5th, 25th, 50th, 75th, 95th and 97.5th percentiles were calculated for the entire sample. Additionally, median and percentiles were determined for both gender and age categories (45-54, 55-64, 65-74, and ≥75 years).
RESULTS: We observed the distinct distributions of various haematological and biochemical parameters, with elevated levels of glycaemic, lipid, liver, and thyroid parameters.
CONCLUSIONS: Findings revealed the notable variations from the established reference ranges, indicating the potential undiagnosed cases and highlighting the gaps in health awareness and health seeking behaviour.
METHODS: This cross-sectional study investigated the distribution of 26 different haematological and biochemical parameters in longitudinal cohort study (Srinivaspura Aging, NeuoSenescence and COGnition - SANSCOG), from the villages of Srinivaspura, Kolar district, India. A total of 2592 participants (1240 males and 1352 females), aged ≥45 years who are cognitively healthy were included for the analysis. Mean, 2.5th, 5th, 25th, 50th, 75th, 95th and 97.5th percentiles were calculated for the entire sample. Additionally, median and percentiles were determined for both gender and age categories (45-54, 55-64, 65-74, and ≥75 years).
RESULTS: We observed the distinct distributions of various haematological and biochemical parameters, with elevated levels of glycaemic, lipid, liver, and thyroid parameters.
CONCLUSIONS: Findings revealed the notable variations from the established reference ranges, indicating the potential undiagnosed cases and highlighting the gaps in health awareness and health seeking behaviour.
摘要：
背景：有必要检查农村人口不同年龄组的生化和血液学检查的分布，以确保医疗设施能够解决流行的健康状况并有效管理与年龄相关的疾病。因此，本研究旨在观察农村人口中血液生化和血液学参数的分布。
方法：这项横断面研究调查了纵向队列研究中26种不同血液学和生化参数的分布（Srinivaspura衰老，NeuoSenescenceandCOGnition-SANSCOG),来自Srinivaspura的村庄，Kolar区,印度。共有2592名参与者（1240名男性和1352名女性），年龄≥45岁,认知健康者纳入分析.意思是,2.5th,5th,25日,50岁，75,计算整个样本的第95和97.5百分位数。此外,确定了性别和年龄类别(45-54,55-64,65-74和≥75岁)的中位数和百分位数.
结果：我们观察到各种血液学和生化参数的不同分布，血糖水平升高，脂质，肝脏,和甲状腺参数。
结论：研究结果表明，与已建立的参考范围有显著差异，指出潜在的未确诊病例，并强调健康意识和寻求健康行为方面的差距。
背景：生化参数，医疗保健，血液学参数,印度,农村。
方法：这项横断面研究调查了纵向队列研究中26种不同血液学和生化参数的分布（Srinivaspura衰老，NeuoSenescenceandCOGnition-SANSCOG),来自Srinivaspura的村庄，Kolar区,印度。共有2592名参与者（1240名男性和1352名女性），年龄≥45岁,认知健康者纳入分析.意思是,2.5th,5th,25日,50岁，75,计算整个样本的第95和97.5百分位数。此外,确定了性别和年龄类别(45-54,55-64,65-74和≥75岁)的中位数和百分位数.
结果：我们观察到各种血液学和生化参数的不同分布，血糖水平升高，脂质，肝脏,和甲状腺参数。
结论：研究结果表明，与已建立的参考范围有显著差异，指出潜在的未确诊病例，并强调健康意识和寻求健康行为方面的差距。
背景：生化参数，医疗保健，血液学参数,印度,农村。
