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Asia Pacific Family Medicine

Open Access

Urban–rural and socioeconomic variations in lifetime prevalence of symptoms of sexually transmitted infections among Bangladeshi adolescents

  • Mohammad Showkat Gani1Email author,
  • Ahmed Mushtaque Raza Chowdhury2, 3 and
  • Lennarth Nyström4
Asia Pacific Family Medicine201413:7

https://doi.org/10.1186/s12930-014-0007-y

Received: 14 March 2012

Accepted: 27 June 2014

Published: 16 July 2014

Abstract

Aim

To identify socioeconomic and urban–rural variations in self-reported lifetime prevalence of symptoms of sexually transmitted infections (STI).

Methods

This cross-sectional study used data from the Bangladesh Adolescents Survey 2005 conducted on 11,986 adolescents, using a cluster sampling methods. Data were analysed using SPSS applying principle components analysis, multivariate logistic regression analysis, and prevalence ratio (PR) with 95% confidence interval (CI).

Results

Self-reported lifetime prevalence of STI symptoms was 11.6%. Urban adolescents had 11% lower prevalence than their rural counterparts (PR(U/R) = 0.89; 95% CI = 0.79-1.00). Probability of self-reported lifetime symptoms of STI was highest among 20–24 years old income-generating male educated workers of mid-socioeconomic status living in rural areas (0.31).

Conclusions

The residence (urban–rural) factor is more influential than the socioeconomic factor. Simpler and cheaper mode of screening and case finding tools for STIs would greatly help. Health promotion and education programs can decrease the adolescents’ vulnerability to sexually transmitted diseases.

Keywords

STILifetime prevalenceUrban–ruralAdolescentsBangladesh

Introduction

Sexually transmitted infections (STI), including acquired immunodeficiency syndrome, are influenced by a number of biological and medical factors on the one hand and geographical, sociocultural or political factors on the other [[1],[2]]. Globalization, involving development of trade and movement of both goods and humans across countries and territories, is also being postulated as a major factor in the spread of infectious diseases worldwide [[3]]. In Bangladesh, nearly one-third of the population is in the 10 to 24-year age group [[4]]. The vast majority of this section is unaware of the risk of STIs and human immunodeficiency virus (HIV). The situation in Bangladesh, as elsewhere in the world, is getting critical as adolescents usually do not have access to basic information on sexual and reproductive health (SRH), skills in negotiating sexual relationships, and access to affordable SRH services [[5],[6]]. Although PIACT Bangladesh, a non government organization, has worked with the National Curriculum and Textbook Board (NCTB) of Bangladesh to incorporate HIV modules in the curriculum of grades 6 to 10, but unfortunately this issue has not yet been included in the curriculum [[7],[8]]. Several studies revealed that a section of adolescents tend to engage in high-risk activities such as visiting commercial sex workers without using condoms, and thus suffer from STIs as a consequence [[9],[10]]. It has been reported that STIs substantially facilitated the rapid and extensive transmission of HIV infections [[11]]. However, this issue is being given high priority in Bangladesh [[12],[13]].

The World Health Organization has estimated that in 1999 there were 340 million incidences of STIs (gonorrhoea, chlamydial infection, syphilis, and trichomoniasis) among the 15-49-year-age group in the world, the highest concentration in Asia [[14]]. STIs are currently recognized as the major health and economic burdens for many developing and developed countries [[14],[15]]. Thus, the control of STIs is important not only to prevent complications from these infections but also to prevent HIV transmission. In Bangladesh, several studies have assessed adolescents knowledge [[9],[10],[16],[17]] and estimated the seroprevalence of STIs and reproductive tract infections (RTIs) in both the general population and the high-risk groups [[18]-[21]]. However, there is no nationwide study on the prevalence of lifetime symptoms (persons known to have had the disease for at least part of their life) [[22]] of STIs. Therefore, this study aims to estimate the prevalence of self-reported lifetime symptoms of STIs, and the impact of socioeconomic, demographic and urban–rural factors on the risk of STIs among the 12 to 24-year age group of population in Bangladesh.

Methods

Study design

This cross-sectional study used data from the Bangladesh Adolescents Survey 2005.

Study area

Bangladesh, covering an area of 147,570 km2, is one of the most densely populated countries (1,114 population/km2) in the world and ranked 129th in the human development index [[23]]. It is surrounded by India and the Bay of Bengal, and has a tropical climate [[4]]. Bangladesh is divided into six administrative divisions, 64 districts, 507 sub-districts, 87,928 villages and 8048 mahallas (the smallest identifiable administrative unit in urban areas) [[4]].

Sampling procedure

A two-stage cluster sample survey was done in all the six divisions. The sample size for each division was planned to get sufficient precision in the estimates by sex and residence (urban/rural areas).

The Bangladesh Bureau of Statistics (BBS) estimated that a total of 1,000 primary sampling units (PSU) would be sufficient to estimate the demographic indicators for Sample Vital Registration System at district level, and thus formed a sampling frame known as the Integrated Multi-Purpose Master Sample [[24]]. The survey technique mainly followed the Bangladesh Demographic and Health Survey (BDHS) [[25]] which uses the BBS sampling frame (Figure 1). Each PSU consists of 200 households. In rural areas, a village is used as a PSU, but in some other parts of the country, the big village or mauza (a geographical boundary consisting of ≥1 village) is used as a PSU. In urban areas, the PSU is at the mahalla level. Figure 1 shows the sampling procedure.
Figure 1

Sampling frame of the study.

Training of interviewers

One hundred and twenty graduates were preliminarily selected for a 2-week training in two batches. A training manual was developed. Three experienced researchers facilitated the training sessions through theoretical and practical lessons on data collection. Finally, 110 interviewers were selected, half of whom were females.

Measure instrument

Two questionnaires were developed, one for the household and one for the individual. The household questionnaire contained information on household characteristics, household possessions and amenities, disability and death. The individual questionnaire contained information on adolescents’ characteristics and their health, education and livelihood issues. The questionnaires were pretested

The lifetime prevalence of STI symptoms was estimated by asking the question: “As some people can have infections that cause pain, itching, scabies, moles or unusual secretions transmitted to their sexual organs, have you ever felt that you suffer from any such infections?” A person was considered to have had a STI, if he/she ever suffered from any infection that caused pain, itching, scabies, moles or unusual secretions in his/her sexual organ.

Data collection

The interviewers worked in 20 teams consisting of 4 to 5 members each (2 females and 2 males) headed by a supervisor. To form a cluster, listing of 200 successive households started from the northwest corner of the selected village and moved anticlockwise. The list was used for selecting a systematic sample of 60 households. The survey teams drew the map for each cluster showing the location of households in the villages/mahalla s. Household and individual information were collected in Bangla language by same-sex interviewers privately and confidentially, particularly for the sample adolescents. If more than one eligible adolescent was in the household, Kish method [[26]] was used for selecting one of them.

While the survey teams had completed their work in the villages, five monitoring teams, each consisting of one woman and one man monitored the data reliability on a 7% sub-sample basis in two phases. First, they re-interviewed the randomly selected sub-samples, and discussed with the survey teams regarding the dissimilarities of the application of methods and questionnaire parts. Secondly, they re-interviewed the sub-samples and collected data without sharing with survey teams, to check data quality of the main survey. Two quality controllers worked separately to communicate survey instructions from the principal investigator to interviewers and monitors as well as to ensure logistic support to the teams.

Data generation process

Data were computerised using the FoxPro. Data cleaning and consistency checks were performed simultaneously by the investigators and the data management team through checking the frequency distribution and the range for all variables, and cross tabulations of linked questions to identify and correct the inconsistencies in the data set.

Statistical analysis

Data were analysed using SPSS. The household wealth index was calculated according to Filmer and Pritchett [[27]]. Principal components analysis was used to produce a new set of linearly combined measurements for the household wealth scores, which were classified into quintiles. To compare the lifetime prevalence between urban and rural areas, the prevalence ratio (PR(U/R)) and corresponding 95% confidence intervals (CI) were calculated by using the formula
e ( ln PR ± 1.96 N 1 A 1 N 1 A 1 + N 0 A 0 N 0 A 0 ) ,
(1)

where N1 = urban total, A1 = urban cases, N0 = rural total, A0 = rural cases [[28]].

Multivariate logistic regression [[29]] was used to estimate the impact of age, sex, education, marriage, occupation, wealth index, and the inhabitants’ residential status (urban–rural) on the outcome variable, lifetime symptoms of STIs prevalence in terms of odds ratios (OR) and 95% CI. The probability of prevalence was calculated from the regression coefficients by using the formula
p = e a + b i x i 1 + e a + b i x i ,
(2)

where p = estimated probability of having lifetime symptoms of STI, a = intercept, b = regression coefficient, and x = explanatory variables.

Ethical issues

Ethical approval was obtained from the research review committee of BRAC Research and Evaluation Division. Written informed consent in Bengali was sought from all respondents before interviewing, but the illiterate respondents provided thumbprint before a witness. Confidentiality of the respondents’ identity was maintained and morally right actions with respondents and community people were ensured.

Results

During the 5-month survey, 16,616 rural and 5,040 urban households were visited (Figure 1). Of these, 11,721 (71%) rural and 3,650 (72%) urban adolescents aged 10–24 years were eligible for this survey. Of them, 11,384 (97%) rural and 3,558 (98%) urban adolescents agreed to participate. Of the participating adolescents, 9,016 from rural and 2,970 from urban areas were allowed by their family to be interviewed regarding sexual issues. Thus, 5,119 male (97.9%) and 6,867 female (96.6%) adolescents participated in the survey.

Basic characteristics

The mean age was 17.5 years, but the female adolescents and the urban adolescents were significantly older (sex: 17.9 vs. 16.9, p < .001, and urban–rural: 17.9 vs. 17.4, p < .001, respectively) (Table 1). One-third of the adolescents were married (34%). The urban adolescents spent significantly more years in school than the rural adolescents (6.4 vs. 5.4 years, p < 0.001), partly because they were older. Majority of them were students (36%) or were involved in domestic (36%) or money-earning work (24%). The urban adolescents were more engaged in income-generating work than the rural adolescents (27 vs. 23%, p < 0.001). The wealth index showed that a significantly higher proportion of rich lived in urban areas compared to that in rural areas (50 vs. 15%, p < 0.001,) (Table 1).
Table 1

Socioeconomic characteristics of 12 to 24 years age group by residence

Characteristics

Residence

All

Urban

Rural

Age in years (%)

   

12-14

24.1

28.3

27.3

15-19

37.5

39.3

38.8

20-24

38.4

32.4

33.9

Mean age (years)

17.9

17.4

17.5

Sex ratio (M/F)

0.78

0.74

0.75

Married (%)

30.2

35.1

33.9

No schooling (%)

10.3

11.7

11.4

Mean years of education

6.4

5.4

5.7

Occupation (%)

   

Student

38.3

35.4

36.1

Household work

30.5

37.8

36.0

Income-generating worka

27.1

22.6

23.7

Othersb

4.1

4.2

4.2

Wealth index (%)

   

Poorest

5.6

17.8

14.8

2

9.1

20.7

17.8

3

13.9

23.9

21.4

4

21.4

22.7

22.4

Rich

50.0

15.0

24.0

Total (n)

2970

9016

11,986

Note: aAll kinds of wage/self employed workers including business. bBeggar, disabled, and unemployed etc.

Reported lifetime prevalence of STI symptoms

The lifetime prevalence of STI symptoms among adolescents was 11.6%, significantly higher in rural areas compared to urban areas (11.9 vs. 10.6%, p = .048) (Table 2). The lifetime prevalence of STI increased significantly with increasing age from 5.5% in the 12–14 years age group to 12.4% and 15.6% respectively in the 15–19 and 20–24 years age groups. Males had a significantly higher prevalence compared to females (14.8 vs. 9.3%, p < 0.001). The prevalence was significantly higher for the currently married than that of the single adolescents (13.9 vs. 10.4%, p < 0.001). Among the currently married adolescents, the prevalence also increased significantly with increasing age groups (from 7.9 to 11.8% to 14.9%, p < 0.05), The males had significantly higher prevalence compared to females (19.2 vs. 13.3%, p < 0.01). The prevalence was higher in adolescents involved in income-generating work when compared with that of other occupational groups. There was no trend in the wealth index. To summarise, the significantly higher prevalence was found for the males compared to the females, when particularly considered those adolescents who were currently married (20–24 years) and living in rural areas (19.9 vs. 14.8%, p < 0.05).
Table 2

Number of subjects, prevalence and urban/rural prevalence ratio (PR(U/R)) with 95% confidence intervals (CI) of lifetime symptoms of STIs of 12 to 24 years age group by socioeconomic factors

Characteristic

No. of subjects

Prevalence (%)

PR (U/R) 95% CI

Urban (U)

Rural (R)

All

Urban (U)

Rural (R)

Age in years

      

12-14

717

2551

5.5

5.2

5.6

0.93 (0.65-1.3)

15-19

1114

3542

12.4

10.7

13.0

0.82 (0.68-1.00)

20-24

1139

2923

15.6

14.0

16.3

0.86 (0.73-1.01)

p valuea

  

<0.001

<0.001

<0.001

 

Sex

      

Male

1298

3821

14.8

13.2

15.3

0.86 (0.73-1.01)

Female

1672

5195

9.3

8.6

9.5

0.91 (0.76-1.09)

p valueb

  

<0.001

<0.001

<0.001

 

Education

      

No schooling

297

1082

12.8

11.4

13.2

0.87 (0.61-1.2)

Primary

898

3661

10.6

10.7

10.6

1.0 (0.81-1.2)

Secondary or higher

1775

4273

12.1

10.4

12.8

0.82 (0.70-0.96)

p valuea

  

0.024

0.86

0.006

 

Marital status

      

Single

2050

5789

10.4

9.5

10.7

0.88 (0.76-1.03)

Currently married

897

3162

13.9

12.8

14.2

0.90 (0.74-1.1)

Separated/Divorced/Widowed

23

65

13.6

26.1

9.2

2.8 (1.01-7.9)

p valuea

  

<0.001

0.001

0.0013

 

Occupation

      

Student

1137

3189

9.0

7.7

9.4

0.81 (0.64-1.02)

Household work

905

3410

11.8

11.5

11.8

0.97 (0.79-1.2)

Income-generating Work

805

2035

15.2

13.3

16.0

0.83 (0.68-1.02)

Unemployed/others

123

382

12.7

13.8

12.3

1.1 (0.67-1.9)

p valuea

  

<0.001

<0.001

<0.001

 

Wealth index

      

Poorest

165

1604

9.5

7.3

9.7

0.75 (0.43-1.3)

2

271

1866

11.8

11.1

12.0

0.93 (0.65-1.3)

3

412

2156

13.0

15.3

12.6

1.2 (0.94-1.6)

4

637

2048

13.5

13.7

13.4

1.0 (0.81-1.3)

Rich

1485

1342

9.7

8.3

11.3

0.74 (0.59-0.92)

p valuea

  

<0.001

<0.001

0.0098

 

All

2970

9016

11.6

10.6

11.9

0.89 (0.79-1.00)

Abbreviation: STI sexually transmitted infection.

ap value is the test of heterogeneity; bp value for test of differences in the prevalence by sex.

Urban/rural prevalence ratio

The prevalence ratio for self-reported lifetime symptoms of STI was 11% lower in the urban adolescents compared to rural adolescents (PR = 0.89, 95% CI = 0.79-1.0) (Table 2). The urban/rural prevalence ratio (PR(U/R) was <1) for almost all categories of socioeconomic and demographic characteristics. The only exception was being separated/divorced/widowed in rural areas (PR = 2.8, 95% CI = 1.01-7.9).

Multivariate logistic regression analysis

The likelihood of having reported lifetime symptoms of STI was three times higher for males than females (OR = 2.9, 95% CI = 2.4-3.6), and increased by age from one in the 12–14 years age group to 2.3 (95% CI = 1.9-2.8) and 2.9 (95% CI = 2.3-3.6) in the 15–19 and 20–24 years age groups, respectively (Table 3). Currently married respondents had a 40% higher risk than singles (OR = 1.4; 95% CI = 1.2-1.7).
Table 3

Multiple logistic regression analysis of risk for lifetime symptoms of STI of the 12 to 24 years age group, odds ratio (OR) and 95% confidence interval (CI)

Factor

No. of subjects (STI)

OR

95% CI

Yes

No

Residence

    

Urban

315

2655

1

 

Rural

1077

7939

1.13

0.98-1.3

Age in years

    

12-14

179

3089

1

 

15-19

578

4078

2.3

1.9-2.8

20-24

635

3427

2.9

2.3-3.6

Sex

    

Female

756

4363

1

 

Male

636

6231

2.9

2.3-3.5

Education

    

No schooling

177

1202

1

 

Primary

485

4074

0.98

0.81-1.2

Secondary and higher

730

5318

1.03

0.84-1.3

Marital status

    

Single

815

7024

1

 

Currently married

565

3494

1.4

1.2-1.7

Separated/Widowed/Divorced

12

76

1.7

0.90-3.2

Occupation

    

Student

388

3938

1

 

Household work

508

3807

1.3

0.98-1.6

Income-generating work

432

2408

0.88

0.73-1.1

Unemployed/others

64

441

0.91

0.67-1.2

Wealth index

    

Poorest

168

1601

1

 

2

253

1884

1.2

0.99-1.5

3

335

2233

1.3

1.1-1.6

4

362

2323

1.4

1.1-1.7

Rich

274

2553

1.0

0.79-1.3

Abbreviation: STI sexually transmitted infection.

Probability estimation

The probability of lifetime prevalence of STI symptoms as outcomes of the effect of various combinations of factors is shown in Figure 2. The probability was low among 12–14 years old female adolescent household workers with no schooling or having primary education, from either poorest or rich living in urban areas (p = 0.02) (Figure 2). The highest prevalence was found for the 20–24 years old males with higher education and income, from the middle socioeconomic group living in rural areas (p = 0.31).
Figure 2

Estimated probabilities of lifetime symptoms of STI of the 12 to 24 years age group.

Discussion

This study shows that the self-reported lifetime prevalence of STI symptoms among adolescents in Bangladesh is high and varies by their place of residence, and socioeconomic and demographic factors. This information is useful for the policy-makers to develop strategies to prevent and control sexually transmitted diseases.

This study confirms a high lifetime prevalence of STI symptoms is more prominent among males. It also contradicts the misconception, found in one report, that STI prevalence is higher in women, which is possibly due to lack of awareness and practice of personal hygiene [[30]]. Highest prevalence was found in currently married older adolescents (20–24 years) living in rural areas . Studies in Bangladesh and neighbouring countries have shown varying prevalence rates of STIs in the general population as well as in high-risk groups [[18]-[20]]. Bogaerts et al. [[20]] detected a low prevalence of Neisseria gonorrhoea and chlamydia infections (0.5% and 1.9%) among urban female clients in a basic health-care clinic in Dhaka, while Sabin et al. [[18]] reported a higher sero-prevalence of current STIs (10.4% in 15 to 54-year old men and 6.9% in 15 to 40-year old women) among slum dwellers in Dhaka, Bangladesh. Similar studies in neighbouring countries reported a higher prevalence than what we found in this study. In Hainan [[31]], China, Xia et al. found that the lifetime prevalence of STI symptoms among the 18 to 49-year old married rural women was 39%. The higher prevalence is possibly partly explained by that they were older than the adolescents we studied, and thus had had a longer exposure time. In an urban-based cross-sectional study of residents from low-income communities in Chennai, India [[32]], the prevalence for self-reported STI symptoms was 16%, higher than that of our study. Reasons for varied results could be due to differences in sampling method, measuring instruments, manner of queries, and way of filling questionnaires.

The prevalence in high-risk groups is higher. A cross-sectional study of 18–30 years old street-based female sex workers in Dhaka by Rahman et al. detected 33% prevalence of syphilis and 46% prevalence of Neisseria gonorrhoea/chlamydia [[33]]. Another cross-sectional study estimated the prevalence of syphilis and Neisseria gonorrhoea/chlamydia at 8.5% and 58% respectively in 18–25 years old hotel-based female sex workers in Dhaka [[21]].

Using the Bangladesh adolescents survey 2005 dataset, Gani and Ahmed [[17]] showed that the adolescents grew up without knowing the facts of SRH, which is prominent among the low educated rural adolescents living in poor households. This pattern is also confirmed in this analysis. This might be because the cultural norms forced the parents/guardians to feel embarrassed or ashamed to discuss these issues with their adolescent children, and that the media is overlooking the issue simply as it involves the issue of sex [[8],[21]]. Consequently most of them have had a limited access to reliable and complete SRH information, which is making the adolescents vulnerable. Therefore, the cultural behaviour bias might have been associated with this disease.

Limitations of this study include non-response bias (3% for all selected adolescents) as it happened against the backdrop of a huge temporary migration of 15 to 24 years old male respondents, particularly for foreign employment [[34]]. The interviewers found it difficult to determine the exact age of the respondents although the events calendar was used to obtain best estimates. As such some errors cannot be ruled out. The lowest rate of STI symptoms among females might be due to silent infections or any other unknown reasons relating to social stigma of STI. Another limitation is that the self-reported symptoms are not serologically confirmed as found in some other studies [[31],[32]], and, thus non-STI genital symptoms may have been included in the results.

Strengths of this first nationwide adolescents survey is that it permits to draw conclusions regarding the whole country by age, sex and place of residence. Furthermore, the size of the study facilitates precise point estimates with narrow confidence intervals. As the sampling design is similar to the 2004 BDHS [[25]], it allows comparison of some background indicators for testing data reliability and validity of this study. For example, the male/female ratio of this study is consistent with that of the national dataset (0.80 in BAS 2005; 0.85 in BDHS 2004) [[25]].

Conclusion

The high self-reported lifetime prevalence of STIs among adolescents reflects the varying living conditions in urban and rural areas, and demographic and socioeconomic characteristics. Older male adolescents with higher education from the middle class socioeconomic background living in rural areas are especially at risk of having the STIs. It thus indicates that STIs are endemic in the entire country. Further research is needed to fully understand the epidemiology of STI in Bangladesh. A prerequisite is a cheap and reliable screening instrument to be able to quickly confirm symptomatic cases. Further research is also needed to identify effective intervention to reduce the STI prevalence in Bangladesh.

Simpler and cheaper mode of screening and case finding tools are urgently required for a clear understanding of the epidemiology of STIs in Bangladesh. Therefore, this simple, inexpensive, and replicable method could also be used to gauge the distribution of self-reported lifetime symptoms of STIs in other countries and, thus, create the basis for a thorough aetiological research on overall STIs and appropriate interventions to address the problem.

Declarations

Acknowledgements

We thank the BRAC Research and Evaluation Division (BRAC-RED) for allowing us access to database of The Bangladesh Adolescents Survey 2005. This national survey, funded by BRAC Education Programme, is a collaborative initiative between BRAC-RED and the Population Council (USA). We are also grateful to Richard Moreino, executive editor of The Good Morning (Bangladesh) and Hasan Shareef Ahmed, freelance science editor and communication consultant for their editorial support. We would like to thank all those who helped us during preparing this report.

Funding

The first two authors received no financial support for the research, authorship, and/or publication of this article, but the third author, Lennarth Nyström was supported by the Umeå Centre for Global Health Research via the Swedish Council for Working Life and Social Research Grant #2006-1512, Umeå University, Sweden.

Authors’ Affiliations

(1)
Health and Population Research Unit, Research and Evaluation Division, BRAC Centre, BRAC
(2)
BRAC Governing Body, BRAC
(3)
Population and Family Health, Mailman School of Public Health, Columbia University
(4)
Department of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University

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