Literature DB >> 30058632

Prevalence of Non-Communicable Diseases and its Associate Factors among Government Employees in Biratnagar, Nepal.

Roshan Neupane1, Tulsi Ram Bhandari1.   

Abstract

INTRODUCTION: Non-communicable diseases have along duration and slow progression. It is estimated that the attribution of NCDs in mortality has been rising gradually in Nepal. This study aimed to estimate the prevalence and factors associated with NCDs in Biratnagar, Nepal.
METHODS: A cross-sectional study was conducted among government employees in Biratnagar, Nepal from August to December 2016. We used self-administrated modified WHO STEPS survey questionnaire and distributed to all government employees of Biratnagar Sub-Metropolitan. We used complete filled 323 questionnaires to analyze and draw the results.
RESULTS: The prevalence of NCDs was found 72 (22.3%). Hence, 322 (99.6%)government employees had exposed at least one established risk factor of the NCDs. The prevalence of use of any type of tobacco products was 60 (18.5%) and consumption of alcoholic products was 187 (57.9%). More than two-thirds respondents answered that they consumed fruits once a week. Most government employees consumed vegetable regularly.The majority 193 (59.6%) respondents used motorcycle and electric rickshaw as means of transportation. Out of the total participants 60 (18.6%), 19 (5.9%), and 6 (1.9%) reported hypertension, diabetes, and cardiovascular diseases respectively.
CONCLUSIONS: Prevalence of Non-Communicable Diseases has been seen in Government Employees in Biratnagar, Nepal. Most of them had at least one associated factor related to NCD was found.

Entities:  

Keywords:  government employees; non-communicable diseases; risk factors; WHO STEPS survey.

Mesh:

Year:  2018        PMID: 30058632      PMCID: PMC8997319     

Source DB:  PubMed          Journal:  JNMA J Nepal Med Assoc        ISSN: 0028-2715            Impact factor:   0.406


INTRODUCTION

Non-communicable diseases (NCDs) are the leading cause of mortality and morbidity worldwide. Cardiovascular diseases, diabetes, cancers and chronic respiratory diseases are dominants.[1] It hits the hardest groups and decreased the productivity, prolong disability and diminish resources.[2] Globally, NCDs are estimated to cost more than US$ 30 trillion over the next 20 years, representing 48% of global gross domestic product in 2010.[1,2] Annually, NCDs kill 7.9 million people in South-East Asia Region (SEAR). The deaths are expected to be increased by 21% over the next decade.[3,4] The greatest increases will be in Africa, SEAR and Eastern Mediterranean by over 20%.[5,6] Sixteen million NCD deaths occur before the age of 70; out of those deaths, 82% occurred in low and middle-income countries.[7] In Nepal, the prevalence of chronic heart disease and hypertension was 5.7% and 22.7% in eastern Nepal in 2005.[8] This study aimed to estimate the prevalence and factors associated with NCDs in Biratnagar, Nepal.

METHODS

A cross-sectional study was conducted among government employees of Biratnagar Sub-Metropolitan from August to December 2016. The study population of the study was all government employeesof Biratnagar Sub-Metropolitan. The validated WHO STEPS instrument version 2.2 translated in Nepali by Nepal Health Research Council (NHRC) was adopted for collecting the information.[9] The ethical approval was obtained from the Institutional Review Committee of Pokhara University. Similarly, written permission was taken from District Administrative Office, Morang and informed consent were also mentioned in the self-questionnaire. Modified STEPS survey questionnaire was self-administrated on the census population 538 for the study. Out of total distributed, only 323 (60%) respondents returned the complete filled questionnaire. The collected data were entered into Epi-data 3.1 and analyzed using SPSS 16.0 version. We performed descriptive analysis considering thesocio-demographicstatus of the respondents and risk factors of the NCDs. We further applied chi-square test to examine the association between NCDs and its associated factors.

RESULTS

Amongst 323 government employees, 92 (28.5%), 108 (33.4%), and 60 (18.6%) had the history of the NCDs: high blood pressure, diabetes and cardiovascular disease respectively. Similarly, among the health examined government employees 60 (18.6%), 11 (5.9%), and 1 (1.9%) had reported the NCDs: high blood pressure, diabetes and cardiovascular disease respectively. Similarly, nearly one-fifth (22.3%) had a prevalence of at least one NCDs among the government employees (Table 1, Figure 1).
Table 1

Prevalence of NCDs (high blood pressure, diabetes and CVD) among government employees.

Prevalence of NCDsn (%)
Hypertension60 (18.6)
Hypertension and diabetes mellitus11 (3.4)
Hypertension, diabetes mellitus and1 (0.3)
cardio vascular diseases
Any type NCDs72 (22.3)
Figure 1.

Distribution number of risk factors of NCDs: not any factor, smoking, alcohol use, high salt intake, physically inactive and history of high blood pressure, diabetes and heart disease among government employees.

Out of six common risk factors: smoking, alcohol use, hard exercise, medium exercise, history of hypertension, sitting duration in a day, three factors were found significantly associated (P value: <0.05) with hypertension. Smoking, alcohol use and medium exercise were to be foundstatistically associated (P value<0.05) with high blood pressure (Table 2). Similarly, those factors also found to be associated (P<0.05) with diabetes (Table 3). But none of those factors were found statistically associated (P<0.05) with cardio-vascular diseases (Table 4).
Table 2

Association of the risk factors for hypertension among government employees.

Risk factorsHypertensionTotal X[2] Value P value
Yes n (%)No n (%)
Smoking
Yes16 (30.8)36 (69.2)526.092<0.05*
No44 (16.2)227 (83.8.)271
Alcohol use
Yes45 (54.1)142 (75.9)1878.845<0.01
No15 (11)121 (89)136
Hard exercise
Yes33 (17.5)156 (82.5)1890.3750.540
No27 (20.1)107 (79.9)134
Medium exercise
Yes50 (16.8)248 (83.2)2986.759<0.05*
No10 (40)15 (60)25
Sitting duration in a day
Median and below29 (19.1)123 (80.9)1520.0940.759
Above the median30 (17.8)139 (82.2)169
History of high blood pressure
Yes18 (19.6)74 (80.4)920.0830.773
No42 (18.2)189 (81.8)231

P value significant at a < 0.05

at a < 0.01

Likelihood ratio

Table 3

Association of risk factors for diabetes among government employees.

Risk factorsDiabetesTotal X[2] Value P value
Yes n (%)No n (%)
Smoking
Yes7 (13.5)45 (86.5)526.43T<0.05*
No12 (4.4)259 (95.6)271
Alcohol use
Yes16 (8.6)171 (91.4)1875.735<0.05*
No3 (2.2)133 (97.8)136
Hard exercise
Yes10 (5.3)179 (94.7)1890.2880.592
No9 (6.7)125 (93.3)134
Medium exercise
Yes15 (5)283 (95)2983.635<0.05*
No4 (16)21 (84)25
Sitting duration in a day
Median and below9 (5.9)143 (94.1)152<0.0010.999
Above the median10 (5.9)159 (94.1)169
History of hypertension
Yes8 (7.4)100 (92.6)1080.6820.409
No11 (5.1)204 (94.9)215

P value significant at a <0.05

Likelihood ratio

Table 4

Association of the risk factors forcardiovascular diseases among government employees.

Risk factorsCardiovascular diseaseTotalX[2] ValueP value
Yes n (%)No n (%)
Smoking
Yes1 (1.9)51 (98.1)520.0010.970
No5 (1.8)266 (98.2)271
Alcohol use
Yes4 (2.1)183 (97.9)1870.1980.657
No2 (1.5)134 (98.5)136
Hard exercise
Yes4 (2.1)185 (97.9)1890.1710.679
No2 (1.5)132 (98.5)134
Medium exercise
Yes6 (2.0)292 (98)2980.9760.323
No025 (100)25
Sitting duration in a day
Median and below3 (2.0)149 (98)1520.0170.896
Above the median3 (1.8)166 (98.2)169
History of high blood pressure
Yes3 (5.0)57 (95)603.0900.079
No3 (1.1)260 (98.9)263
P value significant at a < 0.05 at a < 0.01 Likelihood ratio P value significant at a <0.05 Likelihood ratio Interquartile range

NCDs conditions and care seeking among government employees.

Among 323 government employees, more than third-fourths (80.5%) were male whereas less than one fourth (19.5%) were female. Nearly half (44%) were of age group 30-44 and second highest (40%) were of age group 45-59 with a median age of 40 (IQR-17), the mean age of 40.74 (SD-9.82) with 22 and 58 minimum and maximum age respectively. More than two-thirds (68.1%) were upper caste groups whereasminimum (1.2%) were religious minorities. out of the total participants, 97.8% were Hindu and remaining were Muslim and Christians. The majority (62.8%) of government employees were gazette with more than one-third (37.2%) were non-gazetted. Nearly (31.9) were from middle-income quintile group and one-fifth (24.7%) were from the highest income quintile group. More than two-thirds (67.5%) completed college education and less than one-third (23.5%) completed high school. The median schooling year was 15.7 (IQR-2). Most (86.1%) were married and few (10.2%) were unmarried.

DISCUSSION

The findings of this study show that the overall prevalence of NCDs (high blood pressure, diabetes and cardiovascular diseases) is 22.3% and 99.6% government employees had exposed at least one established risk factor of the NCDs. Most risk factors, such as current smoking, alcohol consumption, high blood pressure, and low physical activity were prevalent among men than women and both in gazetted and non-gazetted government employees which were similar to the results of Nepal STEPS survey 2013.[9] A study among the urban poor in Kathmandu, Nepal found a high prevalence of behavioral risk factors.[10] The study showed the prevalence of smoking (18.3%) among government employees which consistent with the NCD risk factor survey of Nepal 2007/08 and 2013 where the prevalence was 24% and 19% respectively.[9] The prevalence of NCDs is high in Nepal compared with neighbors: India (14%) and Sri Lanka (15%).[11] However, it is lower than that in China (28%), Bangladesh (23%), Vietnam (24%), Thailand (24%) and Russia (39%) [11] in the STEPS survey. This highlights the importance of strong implementation and monitoring of the comprehensive Tobacco Control Law 2011. Due to tobacco industry litigation, implementation of the pictorial health warning was implemented only in 2014.[9] Among the government employees, 18% (21.9% male and 3.2% female) currently used any tobacco products. Tobacco consumption was high among male compared to female, which could be due to the social unacceptability.[9] Tobacco used in Nepal is less than in Bangladesh and Myanmar, where around 32% and 30% of the adult population used tobacco respectively. Among the tobacco consumer, more than half used smokeless tobacco, and others consumed any types of tobacco.[3,12] The global targets are to bring tobacco consumption down to less than five percent by 2040 which was declared from the United Nations high-level meeting on NCDs in 2011.[13] Nepal seems to be far from it. This presents the need for improving people's behavior as it appears to be not changing even when the law exists on the banon the use of tobacco in public places including workplaces and at home. Use of alcohol, low physical activity and diabetes and hypertension as well as family history of the disease have been also observed as the risk factors NCDs in the government employees of Biratnagar, Nepal. We found about 58% of the total government employees consumed alcohol which was more among those aged 30 years and above compared to those aged below 30. Similarly, alcohol consumption was high among gazetted employees than non-gazettedwhich was higher than the prevalence of NCD survey 2013 (two percent) of Nepal.[9] The proportion of the total population with the use of alcohol was not available in a previous national survey of Nepal. However, in Nepal, the proportion of the current alcohol user male had dropped from 32.3% in 2007/08 to 11.1% in 2012/13.[14] The factors affecting the high prevalence of alcohol consumption in government employees warrants further examination, by analyzing the determinants of alcohol use. In comparison to geographical neighbors, this is higher than the prevalence of current alcohol used in Kerala, India where about majority of the population were found to be used alcohol in 2008.[15] Alcohol consumption among government employees was high which could be due to the practices of providing expensive drinks as a gift from the service takers and also the party with drinks in several meetings, workshops, and conference and hence appears to be a big challenge ahead to reduce its consumption and preventing the population from its adverse effects.[14,16] The findings of this study showed that more than one-third government employees did not perform the required physical activity. A similar finding was the world health survey where physical inactivity was found to be less prevalent in populations of low socio-economic status, especially in low-income countries[17] and Nepal NCD survey 2013.[9] The reason behind it could be due to their busy working hours and sedentary lifestyles. Nearly one in every four government employees had high blood pressure which was similar to results Nepal STEPS survey 2013.[9] Recent evidence of the high prevalence of hypertension in the government employees and results from another study[18] underscores that this is a key risk factor and increasing the burden. In 2010, high blood pressure was one of the three leading risk factors for global disease burden and was the leading risk factor for most countries in Asia, North Africa, and the Middle East.[19] Tobacco smoking, alcohol use, and high blood pressure were more frequent in males than females among government employees which is consistent with findings from a STEPS Survey conducted in Malawi.[20] The self-reported prevalence of raised blood glucose levels (diabetes) in the current study was 5.9%, which was slightly higher (4%) the results of Nepal STEPS Survey 2013[9] and which is less than overall estimates of South Asia (8%).[21] This indicates that health services, including primary care services, should be equipped to manage the diabetes cases including screening, diagnosis, treatment and follow up services. Similarly, 1.9% of the government employees self-reported the prevalence of cardiovascular diseases. Government employees of Biratnagar self-reported that they having high blood pressure, diabetes and cardiovascular disease 28.5%, 33.4% and 18.6% respectively and most of them reported the family history of the same diseases. Less than one percent of the study population was found to be free of all studied NCD risk factors in the study. This indicates that the burden of NCDs is likely to increase in the future if it is not addressed promptly by the Government of Nepal and other stakeholders. Considering the various risk factors: smoking, alcohol use, physical inactivity, salt intake, high blood pressure, raised blood glucose and family history of NCDs this STEPS survey suggests that NCD risk factors are quite prevalent among the gazetted and non-gazetted government employees. The estimated proportion of deaths due to NCDs in Nepal has been rising from 51% in 2010 to 60% in 2014.[3,7] This was population-based census study. We used standardized tools for collecting the required information. However, this study covered only quantitative information. Most data were based on the reported information. The human behavior itself is a complex phenomenon. It may need observational empirical information for the precise assessment of the prevalence of risk factors of NCDs among government employees.

CONCLUSIONS

Almost all government employees were not found to be free of the established risk factors of NCDs and nearly one-fourth government employees were suffered from any NCDS. This indicates that the burden of NCDs is likely to be unbearable burden among the government employees in Biratnagar, Nepal. The behavioral change intervention could be the best solution to minimize the prevalence and associated risk factors of NCDs and its burden in future. Preventing and controlling of the risk factors of NCD may easier and cost-effective strategy in such study population than treatment of NCDs.
Table 5

Smoking and use of alcohol among government employees.

Risk factorsYes n (%)No n (%)Total
Smoking
Currently smoking any tobacco products59 (18.3)264 (81.7)323
Currently smoking any tobacco products daily37 (62.7)22 (37.3)59
Tried to stop smoking in past 12 months21 (35.6)38 (64.4)59
Ever smoke any tobacco products in past53 (16.4)270 (83.6)323
Ever smoke any tobacco products daily in past37 (69.8)16 (30.2)53
Currently, use any smokeless any tobacco products98 (30.3)225 (69.7)323
Currently use any smokeless any tobacco products daily94 (95.6)4 (4.4)98
Ever use any smokeless any tobacco products in past98 (30.3)225 (69.7)323
Alcohol use
Ever consumed alcohol products187 (57.9)136 (42.1)323
Ever consumed any alcohol products in past 12 months153 (81.8)34 (18.2)187
Consumption of any alcoholic drink within past 30 days135 (88.2)18 (11.8)153
Table 6

Physical activities of the government employees.

Type of exercise (n = 323)Yes n (%)No n (%)MinimumMaximumMedianIQR*
Hard exercise189 (58.5)134 (41.5)1732
Medium exercise298 (92.3)25 (7.7)1752
Heavy recreational exercise169 (52.3)154 (47.7)1723
Medium recreational exercise175 (54.2)148 (45.8)1733
Medium sitting hours in a day (n=321)2 hrs.10hrs.7 hrs.3

Interquartile range

Table 7

NCDs condition and care seeking among government employees.

ConditionsHigh blood pressure n (%)Diabetes n (%)Cardiovascular diseases n (%)
History92 (28.5)108 (33.4)60 (18.6)
Check-up244 (75.5)165 (51.1)94 (29.1)
Presence60 (18.6)19 (5.9)6 (1.9)
Traditional check up14 (23.3)8 (42.1)2 (33.3)
Traditional medication14 (23.3)7 (36.8)2 (33.3)
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