CARTPT rs2239670 Variant and Obesity in Kampar, Malaysia

Glossary definitions and references:

Scientific and Ayurvedic Glossary list for “CARTPT rs2239670 Variant and Obesity in Kampar, Malaysia”. This list explains important keywords that occur in this article and links it to the glossary for a better understanding of that concept in the context of Ayurveda and other topics.

1) Study (Studying):
Studying illustrates the ongoing investigation into the genetic and environmental factors influencing obesity. This process is vital for uncovering complex interactions that contribute to health, directing future research efforts, and evolving public health strategies to combat obesity-related dilemmas comprehensively.

2) Blood:
Blood is integral to the study, as it serves as the medium for collecting genomic DNA for genotyping. Blood samples were obtained from participants to analyze genetic variations in the CARTPT gene, which may relate to obesity. Blood parameters also link directly to numerous health indicators evaluated in the research.

3) Measurement:
Measurement pertains to the process of quantifying various anthropometric indices, including body mass index (BMI), waist circumference, and other health-related metrics. Accurate measurement is essential in defining obesity status among study participants and establishing correlations between genetic variants and physical health indicators.

4) Kampar:
Kampar is the location of the health clinic where the study was conducted. It is a district in Perak, Malaysia. The choice of this setting reflects the desire to understand the genetic factors affecting obesity in a specific Malaysian demographic, therefore providing localized insights into public health challenges.

5) Indian:
Indian refers to one of the ethnic groups involved in the study. The inclusion of Indian participants provides a comparative ethnic perspective in examining the genetic association with obesity. This recognizes the diverse genetic backgrounds present in Malaysia, aiding in understanding obesity within different cultural contexts.

6) Table:
Table denotes the format used to present data, including demographic information and anthropometric measurements from the study. Tables are vital in research for organizing data logically, facilitating comparison, and summarizing complex information visually to enhance understanding and interpretation of research findings.

7) Pulse:
Pulse relates to the heart rate measurement taken from participants as an indicator of their cardiovascular health, which may correlate with obesity. Monitoring pulse rate allows researchers to gain insights into the metabolic status of subjects, contributing to a thorough examination of health parameters associated with obesity.

8) Alcoholism:
Alcoholism is significant in the context of this study because of previous associations made between the CARTPT gene variant and addictive behaviors, including addiction to alcohol. Exploring genetic underpinnings of both obesity and substance use disorders highlights behavioral health interrelations in significant ways, indicating underlying neurobiological similarities.

9) Substance:
Substance, especially in this context, usually refers to drugs or addictive substances like cocaine and alcohol. The study investigates whether genetic markers also associate with obesity and substance use disorders, bridging a connection between metabolic function and addiction, thereby advancing understanding within neurobiology and public health domains.

10) Male:
Male refers to one of the gender categories considered in the study demographic. Analyzing gender differences in obesity prevalence can provide insights into how biological and social factors influence obesity rates, allowing for targeted interventions based on gender-related health trends and genetic predispositions.

11) Education:
Education reflects the participants' educational status, which was collected as part of demographic data. Understanding education levels is essential for correlating health knowledge and practices with obesity prevalence, as it can influence dietary habits, lifestyle choices, and awareness of health issues, potentially affecting obesity rates.

12) Mutation:
Mutation refers to changes in the genetic sequence of the CARTPT gene being studied. The presence of specific mutations may influence susceptibility to obesity. Research on these mutations helps elucidate the genetic factors contributing to obesity, enhancing knowledge about gene-environment interactions impacting health.

13) Rampal:
Rampal pertains to a referenced author involved in previous studies on obesity prevalence in Malaysia. Citing Rampal connects this research to existing literature, establishing a foundation from which to explore obesity trends and their links to genetics within the Malaysian context, thus acknowledging prior work.

14) Pima:
Pima refers to Pima Indians, among whom previous obesity and genetic studies have been conducted. Mentioning this population serves to contextualize the significance of genetic variance in obesity research, drawing comparisons between differing ethnic groups and aiding the understanding of broader genetic contributions to obesity.

15) Disease:
Disease signifies the health conditions related to or exacerbated by obesity, such as diabetes or cardiovascular issues. Understanding how various genetic factors influence disease susceptibility among obese individuals is vital for tailored interventions, improving health outcomes, and shaping public health policies in managing obesity-related diseases.

16) Family:
Family relates to familial patterns of obesity and disease prevalence and may signify genetic predispositions, highlighting the role of heritability in obesity research. The familial context often helps frame the discussion around genetic factors and their impact on health outcomes across successive generations.

17) Drug:
Drug, in the context of this study, reflects interest in substances implicated in addiction and obesity, particularly those affecting the brain's reward pathways. Investigating the genetics behind obesity and drug addiction may illuminate pathways for treatment and prevention within both behavioral and metabolic health.

18) Purification:
Purification relates to the process of isolating genomic DNA from blood samples in preparation for genotyping. This step is crucial for ensuring the integrity and reliability of genetic analysis, as high-quality DNA samples are needed for accurate assessments of the genetic variants being studied.

19) Reliability:
Reliability refers to the consistency and precision of the research methods and measurements used throughout the study. Ensuring reliability is essential in research to substantiate findings, reinforce credibility, and confirm that the observed associations of genetic variants with obesity are valid and reproducible.

20) Observation:
Observation in this study encompasses the careful monitoring and recording of data related to participants' health, genetics, and demographic factors. Systematic observation helps gather empirical evidence and informs the conclusions drawn about the genetic associations with obesity and its determinants.

21) Perception:
Perception refers to how individuals view obesity, health, and associated lifestyle choices. Understanding subjective perceptions of obesity can influence public health messaging and interventions, guiding how to approach education and awareness efforts tailored towards targeted groups based on their perspectives on health.

22) Developing:
Developing relates to the context of emerging public health challenges, particularly in the Malaysian landscape on obesity issues attributed to lifestyle changes. The study's focus on a developing nation underscores urgent health needs and informs strategies for managing rising obesity rates amidst urbanization and modernization.

23) Knowledge:
Knowledge denotes the awareness and understanding participants possess about obesity, health risks, and genetic factors. Assessing this knowledge level is vital for determining educational needs and health literacy, which can inform public health initiatives aimed at reducing obesity through improved lifestyle choices.

24) Attending:
Attending refers to participants who visited the Kampar Health Clinic for health care, emphasizing the role of health service accessibility in obesity research. The patient population attending such clinics provides insights into community health needs and helps contextualize findings within broader healthcare disparities in Malaysia.

25) Dividing:
Dividing relates to the categorization of participants based on ethnic backgrounds, obesity status, and other demographic factors for precise analysis. This division is crucial for revealing potential disparities and ensuring that genetic associations with obesity are examined fairly across different subgroups to draw valid conclusions.

26) Nature:
Nature in this context refers to the inherent characteristics and environmental influences that affect obesity. This concept encompasses both biological and socio-cultural factors, highlighting the need to explore how various aspects of nature shape individual health and the population's overall obesity rates.

27) Food:
Food is central to obesity discussions, relating directly to dietary habits contributing to obesity. Examining dietary intake patterns helps identify risk factors associated with obesity, allowing for the development of targeted interventions that promote healthier eating habits while addressing genetic predispositions in the population.