International Journal of Clinical Biochemistry and Research

Print ISSN: 2394-6369

Online ISSN: 2394-6377

CODEN : IJCBK6

International Journal of Clinical Biochemistry and Research (IJCBR) open access, peer-reviewed quarterly journal publishing since 2014 and is published under auspices of the Innovative Education and Scientific Research Foundation (IESRF), aim to uplift researchers, scholars, academicians, and professionals in all academic and scientific disciplines. IESRF is dedicated to the transfer of technology and research by publishing scientific journals, research content, providing professional’s membership, and conducting conferences, seminars, and award more...

  • Article highlights
  • Article tables
  • Article images

Article statistics

Viewed: 345

PDF Downloaded: 239


Get Permission Sherpa, Jha, Singh, Dahal, and Gupta: Physiological and biochemical parameters of smokers and alcohol consuming adults from Terai region of Nepal using cross-sectional study


Introduction

Besides rapid urbanization, sedentary lifestyle and growing economy, consumption of alcohol and tobacco products are also reported as significant factors involved in increased morbidity and mortality.1, 2 Tobacco and alcohol consumption are major risk factors associated with an increasing prevalence of chronic diseases and accounted for 11.5% of global death, with around 80% of these deaths in low middle-income countries.3, 4, 5, 6, 7 Nepal is also experiencing an increasing prevalence (31%) of NCDs, along with smoking (11.1%-37.1%) and alcohol consumption (15%-57).8, 9, 10 This study was designed to explore the physiological and biochemical parameters of smokers and alcohol consumer adults from the Terai region of Nepal.

Materials and Methods

This was a community based cross-sectional study carried out during August to November 2019 in the Terai region of Janakpur Zone, Nepal. Participant selection and sample collection were done by camp approach. Radio announcement, wall poster and an extensive volunteer mobilization were used to inform the target population by establishing a joint approach between government health service networks and research team. The demographic and life style details of participants were collected using a structured questionnaire. Participant’s waist circumference, height, weight and blood pressure were measured by either a physician or trend paramedical staffs. Subjects below 18 years and above 80 years and having history of any abdominal surgery were excluded from the study. After physical examination, 5 ml of fasting venous blood sample was collected maintaining aseptic condition from the participants meeting inclusion criteria and samples were transferred in the fluoride vial (Yash polymers, A/8/4, Sahajanand Tower, Jivraj park cross road, Jivrajpark, Ahmedabad, Gujarat, India) immediately. Sample containing vials were centrifuged to obtain serum. Fasting blood glucose, total cholesterol, triglycerides (TAG), high density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol were estimated from serum sample by enzymatic method using Accent 200 fully automated biochemistry analyzer (PZ Cormay S. A. Warsaw office, 303 Pulawska Str., 02-785 Marsaw).11, 12, 13, 14, 15

Instructions of IDF regarding central obesity measurement were strictly followed for waist circumference measurement.16 A measuring tape in a horizontal plane around abdomen at midway between the inferior margin of the ribs and the superior boarder of the iliac crest was placed. Measurement was done at the end of normal expiration, without any compression on the skin. Blood pressure (BP) measurement was carried out using standard mercury sphygmomanometer by a physician or trend paramedical staffs. Participants were requested to rest for at least 10 minutes, before BP measurement. BP was measured in the appropriate sitting position. Initially, BP was measured on both arms; the arm showed higher BP was used for second BP measurement.

Statistical analysis

Statistical analysis was performed using SPSS version 23.0. Data are expressed as numbers or means ± SD. One-way ANOVA (with Tukey’s post hoc) was adopted for the comparison of physiological and biochemical parameters. Correlation was applied to examine the correlation between Diastolic Blood Pressure, Triglycerides and Waist Circumference. P-value <0.05 was considered statistically significant.

Results

Table 1

Physiological characteristics (Mean±SD) of subjects by smoking and alcohol consumption Status (n=282), p-value represents significance of overall difference among respective groups

Characteristics

Age (years)

BMI (kg/m2)

Waist Circumference. (cm)

Blood Pressure (mm of Hg)

Diastolic

Systolic

Smoking Status

Current (n=21)

39.76±7.83

28.79±2.62

102.38±6.67

82.86±8.45

126.67±15.59

Former (n=4)

51.25±16.87

28.95±1.15

103.00±1.82

87.50±9.57

137.50±22.17

Never (n=257)

42.77±12.14

27.34±5.27

93.79±8.61

79.61±8.04

123.40±14.69

p-value

0.192

0.385

<0.0001

0.038

0.115

Alcohol Consumption Status

Current (n=28)

39.68± 7.07

28.82±3.34

77.62±9.54

83.21±8.18

127.50±14.04

Former (n=5)

52.40±12.60

27.96±1.53

77.32±0.95

84.00±8.94

130.00±23.45

Never (n=249)

42.76±12.27

27.31±5.29

64.68±13.00

79.52±8.06

123.31±14.81

p-value

0.067

0.325

<0.0001

0.040

0.241

Table 2

Biochemical parameters (Mean ± SD) of subjects by smoking and alcohol consumption status (n=282), p-value represents significance of overall difference among respective groups

Characteristics

Triglycerides (mg/dl)

Fasting Blood Sugar (mg/dl)

Cholesterol (mg/dl)

HDL

LDL

Total

Smoking Status

Current (n=21)

205.19±101.10

84.29±14.14

40.39±21.65

113.57±26.53

191.80±35.75

Former (n=4)

207.75±71.46

94.50±8.69

32.62±1.36

112.50±18.62

202.50±42.84

Never (n=257)

160.55±77.60

96.75±34.62

36.52±7.94

118.86±31.83

184.66±49.79

p-value

0.028

0.260

0.142

0.707

0.635

Alcohol Consumption Status

Current (n=28)

205.28±96.75

93.00±28.28

40.20±18.75

118.50±24.94

204.7151.73

Former (n=5)

141.20±24.02

87.40±14.63

33.02±1.18

94.00±13.80

172.00±30.07

Never (n=249)

160.43±78.06

96.27±34.25

36.44±8.02

118.85±32.04

183.55±48.36

p-value

0.016

0.757

0.099

0.214

0.077

Table 3

Multiple comparison of physiological and biochemical parameters by smoking and alcohol consumption status (n=282)

Characteristics

Smoking Status

Alcohol Consumption Status

Pa

Pb

Pc

Pa

pb

pc

Waist Circ.

0.990

<0.0001

0.079

0.999

<0.0001

0.049

DBP

0.545

0.183

0.131

0.978

0.050

0.440

Triglycerides

0.998

0.038

0.469

0.223

0.014

0.854

[i] pa= Significance of difference of means between Current and Former

[ii] pb= Significance of difference of means between Current and Never

[iii] pc= Significance of difference of means between Former and Never

Table 4

Correlations between physiological and biochemical parameters by smoking and alcohol consumption status

Variables

Waist Circumference

Diastolic Blood Pressure

Status of Smoking

ra

p-value

Status of Alcohol Consumption

r

p-value

Current

0.441

0.046

Current

0.432

0.022

Former

0.191

0.809

Former

0.241

0.696

Never

0.099

0.113

Never

0.080

0.208

Triglycerides

Current

0.124

0.593

Current

0.140

0.476

Former

0.575

0.425

Former

0.369

0.542

Never

0.111

0.077

Never

0.109

0.086

[i] aPearson correlation coefficient

Physiological parameters observed in smokers and alcoholic are shown in Table 1. A significant difference for waist circumference and diastolic blood pressure were observed among smokers (p< 0.05) as well as among alcohol consuming (p< 0.05) subjects, while other parameters (age, BMI, systolic blood pressure) were not statistically different in both groups.

Biochemical parameters estimated for smokers and alcohol consuming subjects are presented in Table 2. We observed significant difference for triglycerides among alcoholic (p=0.016) as well as in smokers (p=0.028). However other biochemical parameters (fasting blood sugar, total-cholesterol, HDL-cholesterol, LDL-cholesterol) were not found to be significantly different in both groups.

Multiple comparison for physiological and biochemical parameters among smokers (current vs former or current vs never or former vs never) as well as alcohol consuming subjects (current vs former or current vs never or former vs never) are shown in Table 3. Triglycerides were significantly increased among current smokers (p=0.038) and current alcohol consuming (p=0.014) subjects compared to subjects who had never smoked or taken alcohol. Likewise, waist circumference was also found to be significantly increased among current smokers (p<0.0001), current alcohol consuming (p<0.0001)subjects compared to subjects who had never smoked or consumed alcohol. Moreover, diastolic blood pressure was significantly increased among current smokers (p=0.050) compared to never smoker. However, we did not find any significant differences for physiological and biochemical parameters among current and former (p>0.05) and among former and never (p>0.05) smokers as well as alcohol consumed subjects except for waist circumference between former and never alcohol consumed subjects (p=0.049).

Correlations between Waist Circumference, Diastolic Blood Pressure and Triglycerides among smokers and alcohol consuming subjects are presented in Table 4. We did not observe any significant correlation between waist circumference, diastolic blood pressure and triglycerides among either current, former or never smokers (p>0.05) as well as among current, former or never alcohol consumed subjects, except a significant positive correlation between diastolic blood pressure and waist circumference among current smokers (p=0.046) and current alcohol consuming subjects (p=0.022).

Discussion

Nepal, known for its incredible geographical and demographic diversity, is a small land-locked developing country of South East Asia. On the basis of geography, Nepal is categorized into Himalaya, Mountainous and Terai regions. It is a low middle-income country and traditional agriculture is the major occupation, which shares nearly 45% of the total national GDP. Despite of various approaches of government towards controlling the use of tobacco and alcohol consumption, their uses are increasing. The use of tobacco and alcohol consumption has been found to be associated with increasing burden of chronic diseases globally. The increasing trend of NCDs in Nepal, are also likely pointing towards the underlying association of use of tobacco and alcohol consumption.

This study design approached to explore the demographic and biochemical parameters of subjects using tobacco (Smoker), consuming alcohol and their potential association with the NCDs. It was a cross-sectional study, in which participants were categorized as current, former (participants reported not smoking/alcohol consumed for at least 6 months prior to the study and never used tobacco (smoking) and consumed alcohol. Physiological parameters observed in smokers and alcoholic subjects are presented in Table 1. Our results demonstrated that smokers as well as alcoholic subjects had significantly increased waist circumference and diastolic blood pressure (p<0.001). A cohort study carried out in Chinese adult male twins, also found that alcohol consumption and current smoking were associated with increased waist circumference.16 Similarly, another cohort study conducted in Denmark, found significant association of alcohol consumption frequency with increased waist circumference.17 The systolic blood pressure of both group were found to be not significantly different in our study, however, diastolic blood pressure was significantly different in both smoker (p<0.038) and alcohol consuming (p<0.040) subjects. Similar association between smoking, alcohol consumption and blood pressure have been reported in various studies.18, 19 Average age of current, former and never smoking (39.7±7.83, 51.25±16.87 and 42.77±12.14) and alcohol consuming (39.68±7.07, 52.40±12.60 and 42.76±12.27) subjects were not very different. The BMI of current smokers (28.79±2.62) and alcohol consuming (28.82±3.34) subject were comparatively higher than that of former and never group, however, without any significant statistical differences.

Biochemical parameters estimated in smokers and alcohol consuming subjects are presented in Table 2. We observed significantly increased triglycerides in both: smokers (p<0.028) and alcohol consuming subjects ((p<0.016). However other biochemical parameters (fasting blood sugar, total-cholesterol, HDL-cholesterol, LDL cholesterol) were not found significantly different in both the groups. Various studies on smokers and alcohol consuming subjects have shown dyslipidemia (high triglycerides, high total-cholesterol, high LDL-cholesterol and low HDL-cholesterol) and have found these to be predisposing to increasing risk of cardiovascular abnormalities and metabolic syndrome.20, 21 In contrast, we found only increased level of triglycerides in both groups, without any significant increase of other parameters of lipid profile. Similar increased level of triglycerides (p<0.032) have reported in a study conducted in Greece among smokers and alcohol consumers in 2003.22

Multiple comparison for physiological and biochemical parameters among smokers (current vs former, current vs never and former vs never) as well as alcohol consuming subjects (current vs former, current vs never and former vs never) are shown in Table 3. It was found that triglycerides were significantly increased in current smokers (p<0,038) and current alcohol consuming subjects (p<0.014), compared to the subjects who had never smoked or consumed alcohol. Similarly, waist circumference was also significantly increased in current smokers (p<0.001) and current alcohol consuming subjects (p<0,001), compared to subjects who had never smoked or consumed alcohol. Furthermore, diastolic blood pressure was significantly increased in current smokers (p<0.05), compared to never smokers. The significantly increased level of triglycerides, waist circumference and diastolic blood pressure in current smokers and alcohol consuming compared to never smoker or never consumed alcohol group strongly suggest the likely association of smoking and alcohol consumptions in many NCDs, including cardiovascular abnormalities. A similar study carried out in north-eastern region of the Netherlands, also reported the increased triglycerides, waist circumference and blood pressure in current smoking and alcoholic group.23 Likewise, similar study conducted in Korean adults has also reported hypertriglyceridemia, increased waist circumference and increased blood pressure in current smokers and alcoholic subjects. However, our result did not show any significant differences for physiological and biochemical parameters in current and former (p>0.05) and among former and never (p>0.05) smokers as well as alcoholic subjects, except waist circumference between former and never alcoholic subjects (p<0.049) which was marginally significant.24

Furthermore, the correlations between waist circumference, diastolic blood pressure and triglycerides of both groups are presented in Table 4. A significant positive correlation has been observed between diastolic blood pressure and waist circumference in current smokers (p<0.046) and current alcohol consuming subjects (p<0.022). However, we did not observe any significant correlation between waist circumference, diastolic blood pressure and triglycerides among either current, former of never smokers (p>0.05)

Conclusion

This study explored the physiological and biochemical parameters of smokers and alcohol consuming subjects from Terai region of Nepal. Triglycerides, waist circumference and diastolic blood pressure were found to be significantly increased in smokers and alcohol consuming subjects, which may likely contribute to increased NCDs in Nepal. The study suggests lack of public awareness as well as health promotion activities in this region for smoking and alcohol consumption, and indicates the need for an urgent step towards needed public health programs to maintain quality of life.

Source of Funding

None.

Conflict of Interest

None.

Acknowledgement

We would like to thank academicians and authorities of Janaki Medical College, Janakpurdham, Nepal and Sikkim Manipal Institute of Medical Sciences, Gangtok, Sikkim, India for their academic guidance and support. We extend our sincere thanks to Mr. Vijay Jha, director of the Office of Health Directorate, Province 2, Janakpurdham, for his kind cooperation during this study.

References

1 

K M Mctigue R Harris B Hemphill L Lux S Sutton A J Bunton K N Lohr Screening and interventions for obesity in adults: summary of the evidence for the US Preventive Services Task Force. Annals of internal medicine2003139933982

2 

S Haffner H Taegtmeyer Epidemic obesity and the metabolic syndromeCirculation20031081315415

3 

U John A Hill HJ Rumpf U Hapke C Meyer Alcohol high risk drinking, abuse and dependence among tobacco smoking medical care patients and the general populationDrug Alcohol Depend200369218995

4 

Y Zhou J Zheng S Li T Zhou P Zhang HB Li Alcoholic beverage consumption and chronic diseasesInt J Environ Res Public Health2016136522

5 

R Ng R Sutradhar Z Yao WP Wodchis LC Rosella Smoking, drinking, diet and physical activity-modifiable lifestyles risk factors and their associations with age to first chronic diseaseInt J Epidemiol202049111330

6 

World Health Organization. Global status report on noncommunicable diseases 20142014World Health Organizationhttps://apps.who.int/iris/handle/10665/148114

7 

MB Reitsma N Fullman M Ng JS Salama A Abajobir KH Abate Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015Lancet20173891008218851906

8 

GP Bhandari MR Angdembe M Dhimal S Neupane C Bhusal State of non-communicable diseases in NepalBMC Public Health 2014142310.1186/1471-2458-14-23

9 

RA Sagtani S Thapa A Sagtani Smoking and Quality of Life - Is there really an association? Evidence from a Nepalese samplePLoS One2019149e022179

10 

RA Sagtani S Thapa A Sagtani Smoking and Quality of Life-Is there really an association? Evidence from a Nepalese samplePLoS One2019149e0221799

11 

P Trinder Determination of Glucose in Blood Using Glucose Oxidase with an Alternative Oxygen Acceptor.Ann Clin Biochem19696196924

12 

W Richmond Analytical reviews in clinical biochemistry: the quantitative analysis of cholesteroAnn Clin Biochem19922957797

13 

G Bucolo H David Quantitative determination of serum triglycerides by the use of enzymesClin Chem197319547682

14 

F Grillo C Izzo G Mazzotti E Murador Improved method for determination of high-density-lipoprotein cholesterol II. Enzymic determination of cholesterol in high-density lipoprotein fractions with a sensitive reagentClin Chem19812733759

15 

M Okada H Matsui Y Ito A Fujiwara K Inano Low density lipoprotein cholesterol can be chemically measuredJ Lab Clin Med19981323195201

16 

C Liao W Gao W Cao J Lv C Yu S Wang B Zhou Z Pang L Cong Z Dong F Wu The association of cigarette smoking and alcohol drinking with body mass index: a cross-sectional, population-based study among Chinese adult male twins. BMC public health20161619

17 

JS Tolstrup J Halkjær BL Heitmann AM Tjønneland K Overvad TI Sørensen Alcohol drinking frequency in relation to subsequent changes in waist circumferenceAm J Clin Nutrition200887495763

18 

MG Marmot P Elliott MJ Shipley AR Dyer HU Ueshima DG Beevers Alcohol and blood pressure: the INTERSALT studyBMJ1994308693912637

19 

A Groppelli DM Giorgi S Omboni G Parati G Mancia Persistent blood pressure increase induced by heavy smokingJ Hypertens19921054959

20 

XX Li Y Zhao LX Huang HX Xu XY Liu JJ Yang Effects of smoking and alcohol consumption on lipid profile in male adults in northwest rural ChinaPublic Health2018157713

21 

B Klop AT Rego MC Cabezas Alcohol and plasma triglycerides. Current opinion in lipidologyCurr Opin Lipidol20132443216

22 

IN Mammas GK Bertsias M Linardakis NE Tzanakis DN Labadarios AG Kafatos Cigarette smoking, alcohol consumption, and serum lipid profile among medical students in GreeceEur J Public Health200313327882

23 

SN Slagter JV Van Vliet-Ostaptchouk JM Vonk HM Boezen RP Dullaart AC Kobold Combined effects of smoking and alcohol on metabolic syndrome: the LifeLines cohort studyPloS one201494e96406

24 

CH Jung JS Park WY Lee SW Kim Effects of smoking, alcohol, exercise, level of education, and family history on the metabolic syndrome in Korean adultsKorean J Med200263664959



jats-html.xsl


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

Article type

Original Article


Article page

224-228


Authors Details

Mingma Lhamu Sherpa, Birendra Kumar Jha*, Jitendra Kumar Singh, Binod Kumar Dahal, Chamma Gupta


Article History

Received : 24-06-2022

Accepted : 17-08-2022


Article Metrics


View Article As

 


Downlaod Files