A Study of Lipid Pro ile in Adults in Clinical Correlation with Anthropometric Indices

Fast industrialisation and Globalisation, with rapid progress on all fronts, has lead to the economic prosperity and modern lifestyle in India. It, in turn, is re lected as an increased prevalence of lifestyle-related diseases in the country. A cross-sectional study was done with 285 subjects. Majority of the subjects (61.1%) were in between 21-25 years. There was a female preponderance (68.4%). 145 (50.9%) and 61 (21.4%) were in the normal range and overweight respectively. It was observed that there were 95 (33.3%) cases of dyslipidemia. Signi icant association with dyslipidemia. The incidence of dyslipidemia altogether expanded with expanding BMI. There was a signi icant association of BMI with Dyslipidemia. Waist Circumference (WC), Hip Circumference (HC) and Waist Hip (WH) Ratio increased signi icantly with increasing BMI. There was a signi icant association of Anthropometric measurements with Underweight, Normal, Overweight and Obese BMI. There was a signi icant positive correlation between BMI and TG, while substantial negative relationship existed between BMI and TC and HDL. Dyslipidemia is very common in youthful grown-ups than anticipated. Blend of thewayof life treatments, i.e., upgraded physical movement, dietary change, and remedial mediation would help us in treatment and the executives of dyslipidemia. Henceforth, mindfulness programs on attractive eating routine and regular screening of populace onoccasional premise ought to be fused at the essential human services level.


INTRODUCTION
Fast industrialisation and Globalisation, with rapid progress on all fronts, has lead to the economic prosperity and modern way of life in India. It is re lected as an expanded predominance of a method of liferelated ailments in the nation (Patel, 2011). Coronary course af liction (CAD) is a noteworthy explanation behind horridness and mortality in industrialised countries and is one of the critical general clinical issues completely. There is a rising veri ication of unfavourable CAD occurring in Asian Indians, at any rate, ten years sooner when it stood out from other ethnic, social events (Gupta et al., 2009). As indicated by the national commission on macroeconomics and prosperity, there would be around 62 million patients with by 2015 in India and of these 23 million would be patients more youthful than 40 years old. This, at present causes 4.3 million passings for consistently worldwide and 39 million debilitation healthy lifestyle years lost (Ezzati et al., 2002). The national cholesterol preparing program ncep in like manner made gauges for the unmistak-able con irmation evaluation and treatment of high blood cholesterol in adults (Chatlert, 2006). Suitable control of the blood lipid levels reduced cardiovascular terribleness and mortality both in patients with setting up CHD and in those at risk for making CHD. Subsequently, data on the various pieces of the lipid pro ile and the centrality of all of the parameters is vital and is an essential bit of the leading body of CHD and people at risk for CHD.
Dyslipidemia is in some cases considered as a result of modernisation because the predominance of dyslipidemia in created nations is frequently higher than in creating nations. Moreover, inside both the created and creating nations, the pervasiveness of dyslipidemia is higher in urban regions. While patterns demonstrate that improvement in the paces of CAD in many industrialised countries, the weight is anticipated to rise extensively in creating nations throughout the following decade (Yamwong, 2000). A few epidemiological examinations right now that serum lipid ixation was higher in a critical piece of the populace and that an expanding extent of the people had dyslipidemia. In creating nations, as the pace of urbanisation expands, the people are progressively reliant on consumes fewer calories considered undesirable exacerbated by low physical action.
The human body can store vitality in an abundance of the sum required for sometime later. Fat cells in fat tissue stops ill this need as well as help to defeat the issue of discontinuous nourishment supplies. They store vitality as triglycerides and when required discharge, it is a type of free unsaturated fats to provide food vitality requests. Today, with constrained physical effort, wrong dietary ways of life, fat vitality stores have expanded bringing about powerlessness to non-transferable ailments (NCD, for example, cardiovascular diseases (CVD), malignancies, diabetes mellitus (DM) hypertension (HTN) because of adjusted body composition (Shah et al., 2010;Maffeis et al., 2001;Wells and Fewtrell, 2006). The signi icant hazard factor for NCDs has modiied lipid levels (Parinita et al., 2012;Robert, 1998). The body piece is thus a substantial determinant of malady course and results being possibly manageable to adjustment, for sickness anticipation and wellbeing maintenance (Wells and Fewtrell, 2006). Body piece estimated by straightforward anthropometric systems, (weight, abdomen periphery (WC), midsection to the hip proportion (WHR), midriff to tallness proportion (WHtR), and weight list (BMI), are satisfactory for some, reasons, ending up being of a more noteworthy incentive than "entire body" values acquired by increasingly modern methodologies. In 2000, 9.2 million years of productive life lost in India was credited to NCD including CVD, DM; which is relied upon to ascend to 17.9 million years by 2030 just about multiple times that of United States (US) (Vita-Finzi, 2005; Government of India Planning Commission, 2011).
The hazard factors for the improvement of CVD, age, sex, family ancestry and hereditary legacy are unmodi iable (Yusuf et al., 2001), while smoking, physical dormancy, terrible eating routine, heftiness, and dyslipidemia are modi iable (Sposito et al., 2007). The commonness of overweight and weight has signi icantly expanded in creating nations and is identi ied with cardiovascular hazard factors (Mokdad, 2000). As per the World Health Organization, in 2008, more than 1.4 billion grown-ups were overweight. Of these more than 200 million men and around 300 million women were corpulent (World Health Organization, 2020) examinations show fat tissue commonly central is connected with high cardiovascular bleakness and mortality (Santos et al., 2013) Differing techniques have been utilised to evaluate the sum and the conveyance of muscle versus fat and its relationship to CVD. Anthropometric parameters, for example, weight ile (BMI), abdomen boundary (WC) and midsection to-hip proportion (WHR) have the focal points in day by day clinical act of being easy to gauge with great reproducibility (Cercato et al., 2004) creating nation like India. Although BMI re lects lean mass and fat, it barely recognises the conveyance of the latter (Mason et al., 2008). Or maybe, other anthropometric records, for example, WC, midsection totallness proportion, and WHR have been utilised as options in contrast to BMI. WC is in effect progressively acknowledged as the best anthropometric pointer of stomach adiposity, and metabolic risk (Thomas et al., 2015). It is less known, be that as it may, which one of these anthropometric factors (BMI or WHR or WC) is a superior connect to lipid pro ile. Subsequently, the current investigation was done at our tertiary consideration place to survey the commonness of dyslipidemia in the age gathering of 18-30 years and to relate dyslipidemia with expanded midsection hip proportion and BMI in stable asymptomatic individuals.

Aim
To study the lipid pro ile, in clinical correlation with anthropometric indices such as BMI and the waisthip ratio of healthy, people.

1.
To study the prevalence of dyslipidemia in the age group of 18-30 years.
2. The correlation of dyslipidemia with increased waist-hip ratio and BMI

MATERIAL AND METHODS
A cross-sectional study was done with 285 subjects Source of data: The sample collection, analysis and veri ication was conducted in regular healthy volunteers coming to KIMS, Karad. Study design: An observational cross-sectional study.
Sample size: 285 Subjects. Statistical analysis: Quantitative, Qualitative and association with software.

Distribution of subjects according to age
Majority of the subjects (61.1%) were 21-25 years age followed by 36.8% 26-30 years and 2.1% were 18-20 years.

Distribution of subjects according to gender
There was female preponderance (68.4%) while male subjects constituted 31.6% of the study group.

Incidence of Dyslipidemia
It was observed that there were 95 (33.3%) cases of dyslipidemia in our study

Association of Gender with Dyslipidemia
A total of 44 (48.9%) male patients and 51 (26.2%) of female patients had dyslipidemia. There was no signi icant association of gender with dyslipidemia

Association of WHR with Dyslipidemia in Males
It was observed that the incidence of dyslipidemia increased with increasing WHR >0.9 in males. There was no signi icant association of WHR >0.9 in males with dyslipidemia.

Association of WHR with Dyslipidemia in Females
It was observed that the incidence of dyslipidemia signi icantly increased with increasing WHR >0.85 in females.
There was a signi icant association of WHR >0.85 in females with dyslipidemia.

Anthropometric measurements of Male and Female Subjects
It was observed that the Waist Circumference (WC) and Hip Circumference (HC) were signi icantly higher in male as compared to female subjects (p<0.05). In contrast, the Waist Hip (WH) Ratio of male and female subjects was comparable.

Lipid Pro ile indings of Male and Female
The lipid pro ile parameters (TC, LDL, VLDL, HDL, LDL/HDL and TG) of male and female subjects in our study were comparable and statistically not signi icant (p>0.05).

Association with BMI and Dyslipidemia
It was observed that the incidence of dyslipidemia signi icantly increased with increasing BMI. There was a signi icant association of BMI with Dyslipidemia.

Association of Anthropometric measurements with Underweight, Normal, Overweight and Obese BMI
It was observed that Waist Circumference (WC), Hip Circumference (HC) and Waist Hip (WH) Ratio increased signi icantly with increasing BMI. There was a signi icant association of Anthropometric measurements with Underweight, Normal, Overweight and Obese BMI.

Correlation of Waist-Hip Ratio and BMI with Dyslipidemia
There was a signi icant positive correlation between BMI and TG, while signi icant negative correlation existed between BMI and TC and HDL. It was observed that WH Ratio was signi icantly and negatively correlated with TG, TC and HDL.

DISCUSSION
In the present study, majority of the subjects (61.1%) were from the age group of 21-25 years followed by 36.8% from the age group of 26-30 years and 2.1% from the age group of 18-20 years. There was female preponderance (68.4%) while male subjects constituted 31.6% of the study group. Raj et al. (2016) in a descriptive cross-sectional study determining lipid levels and comparing the lipid levels and prevalence of dyslipidemia reported all study subjects were aged more than 30 years, with 190 (58.5%) males and 135 (41.5%) females. A majority of 45.3% males and 45.9% females were in the age group of 45-59 and 30-44 years respectively. Thomas et al. (2015) in a cross-sectional study on the prevalence of dyslipidemia in young asymptomatic non-diabetic adults to determine and correlate the signi icance of associated risk factors found out of the 500 participants, Out of which adults, 315 (63%) were males, and 185 (37%) were females. The mean age was 31.12 years.
In our study, 66 (23.2%) subjects were underweight while 145 (50.9%) and 61 (21.4%) subjects were in the normal range and overweight respectively. 13 (4.5%) subjects were overweight. Chehrei et al. (2007) 44 cross-sectional population-based study compared some anthropometric indices (BMI, WC, and W/Ht) to determine their relationship to dyslipidemia as an important cardiovascular risk factor reported among the 750 subjects,388(51.7%) Raj et al. (2016) in a descriptive cross-sectional study determining lipid levels and comparing the lipid levels and prevalence of dyslipidemia found Overweight. Obesity constituted 58.8 % and 63.1% of urban and rural subjects respectively. There was no critical af iliation between the study setting and the presence of co-morbid illness. Thomas et al. (2015) in a cross-sectional study on the prevalence of dyslipidemia in young asymptomatic non-diabetic adults to determine and correlate the signi icance of associated risk factors found mean height was 169.95 cms. The mean weight was 70.55 kgs.
It was observed that there were 95 (33.3%) cases of dyslipidemia in our study. 44 (48.9%) male patients and 51 (26.2%) of female patients had dyslipidemia. Raj et al. (2016) in a descriptive crosssectional study determining lipid levels and comparing the lipid levels and prevalence of dyslipidemia found an overall incidence of dyslipidemia in urban population, aged more than 30 years, was found to be 74.5% and that among rural population was 68.8%.
It was observed in the present study that the Waist Circumference (WC) and Hip Circumference (HC) were signi icantly higher in male as compared to female subjects (p<0.05). In contrast, the Waist Hip (WH) Ratio of male and female subjects was comparable. The lipid pro ile parameters (TC, LDL, VLDL, HDL, LDL/HDL and TG) of male and female subjects in our study were comparable and statistically not signi icant (p>0.05). There was a signi icant association of BMI with Dyslipidemia. Manjareeka et al. (2015) in a hospital-based cross-sectional study found BMI was not signi icantly different in both the age groups. There was a considerably higher WC in the older group than the younger group.
It was observed in the present study that Waist Circumference (WC), Hip Circumference (HC) and Waist Hip (WH) Ratio increased signi icantly with increasing BMI. It was observed that TC, VLDL, LDL/HDL and TG increased substantially with increasing BMI. Chehrei et al. (2007) cross-sectional population-based study compared some anthropometric indices (BMI, WC, and W/Ht) to determine their relationship to dyslipidemia as an important cardiovascular risk factor reported overweight subjects. In the present study, there was a signi icant positive correlation between BMI and TG while substantial negative correlation existed between BMI and TC and HDL. It was observed that WH Ratio was signi icantly and negatively correlated with TG, TC and HDL. Chehrei et al. (2007) cross-sectional population-based study compared some anthropometric indices (BMI, WC, and W/Ht) to determine their relationship to dyslipidemia as an important cardiovascular risk factor found abnormal total cholesterol, LDLC, HDL-C and LDL-C level was more markedly abnormal than total cholesterol and HDL-C level for all age groups.
Anthropometric estimations are related with different wellbeing conditions (WHO, 1995), and BMI is by a wide margin the most broadly utilised estimation to re lect general heftiness. BMI, in any case, doesn't consider the extent of weight identi ied with expanded muscle or the dispersion of abundance fat inside the body, the two of which in luence the wellbeing dangers related with obesity (Dalton et al., 2003). People with a comparable BMI can shift signi icantly in their stomach fat mass, with premenopausal ladies regularly having a large portion of the stomach fat mass of men (Lemieux et al., 1993). Additionally, its impediments are perceived by its reliance on race, with Asians having vast rates of muscle to fat ratio at low BMI values (Deurenberg-Yap et al., 2002) and its change as indicated by age (Dalton et al., 2003). For these reasons, a proportion of corpulence that considers the expanded danger of weight-related diseases due to the amassing of stomach fat is attractive. There is another inclination to utilise midsection circumference (Ledoux et al., 1997) or abdomen to stature ratio (Ashwell and Lejeune, 1996) instead of midriff to hip proportion since concentrates with processed tomography have unveiled them to have a nearer relationship with intra-stomach fat and with changes in intra-stomach fat.
An expanded abdomen circuit is undoubtedly connected with raised hazard factors given its connection with instinctive fat amassing, and the instrument may include overabundance introduction of the liver to unsaturated fats. The combination of WC and height that is W/Ht could manifest better the morphology of an enlarged abdomen with inappropriate short stature (Jeong et al., 2005). Raj et al. (2016) in a descriptive cross-sectional study reported with the BMI of above 27.5, the chance of having dyslipidemia is 2.26 times higher than the standard BMI range of 18.5-22.99. Similarly, for the BMI between 2327.49, there is 1.85 times higher risk of dyslipidemia than average BMI. Manjareeka et al. (2015) in an emergency clinic-based crosssectional investigation revealed in the more youthful age gathering, the mean estimations of lipid and anthropometric factors were commonly higher for the guys than the females; mean estimations of TC, TG and LDL were fundamentally higher. For both the sexual orientations, the mean estimations of all factors were higher in the more established age bunch than the more youthful age gathering. Notwithstanding, in the more established age bunch, the distinction in the mean values of VLDL, WC and WHR were signi icant between the genders.

CONCLUSION
Dyslipidemia is quite prevalent in young adults than expected. Low HDL-Cholesterol was the most common pattern of dyslipidemia found. BMI predicted the prevalence of hypertriglyceridemia in our study population. Increase in age also predicted the prevalence of hypertriglyceridemia in our study.

Funding source
None to report.

Con licts of interest
We all the authors declare no con lict of interest.