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Prevalence and severity of low back- and pelvic girdle pain in pregnant Nepalese women

BMC Pregnancy and Childbirth volume 19, Article number: 247 (2019) Cite this article

Abstract

Background

Low back pain (LBP) and pelvic girdle pain (PGP) are commonly reported during pregnancy and are known to affect pregnant women’s well-being. Still, these conditions are often considered to be a normal part of pregnancy. This study assesses the prevalence and severity of LBP and/or PGP among pregnant Nepalese women, as well as exploring factors associated with LBP and PGP.

Methods

A cross-sectional study with successive recruitment of pregnant women was conducted at two district hospitals in Nepal from May 2016 to May 2017. The data was collected using self-reported questionnaires. Univariate and multivariate logistic regression were used to assess the associations between independent variables and LBP and/or PGP.

Results

A total of 1284 pregnant women were included in the study. The reported prevalence of pregnancy-related LBP and/or PGP was 34%. Pain intensity was high with a mean score (standard deviation) of 6 (2). The median (25th-75th percentiles) disability scores according to the total Pelvic Girdle Questionnaire and Oswestry Disability Index were 20 (10–32) and 30 (21–38), respectively. Even though only 52% of the women believed that the pain would disappear after delivery, concern about LBP and/or PGP was reported to be low (median 2 (0–4) (Numeric Rating Scale 0–10)). In the final model for women with LBP and/or PGP the adjusted odds ratios were for body mass index (20–24, 25–30, > 30) 0.7 (95% confidence interval (CI), 0.44–1.21), 1.1 (95% CI, 0.66–1.83), and 1.5 (95% CI, 0.78–2.94) respectively, for pelvic organ prolapse symptoms 6.6 (95% CI, 4.93–8.95) and for women with educated husbands (primary or secondary, higher secondary or above) 1.1 (95% CI, 0.53–2.16) and 1.7 (95% CI, 0.84–3.47), respectively.

Conclusions

Pregnant Nepalese women commonly report LBP and/or PGP. The women experienced low disability despite severe pain intensity and poor beliefs in recovery after delivery.

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Introduction

Global progress in maternal mortality rate reduction has placed emphasis on maternal morbidity, addressing maternal well-being and mental health [1, 2]. The World Health Organization’s Maternal Morbidity Working Group defined maternal morbidity as “any health condition attributed to and/or aggravated by pregnancy and childbirth that has a negative impact on the woman’s wellbeing” [2].

As the most common pregnancy-related musculoskeletal problems that impact pregnant women’s well-being are low back pain (LBP) and pelvic girdle pain (PGP), these conditions have garnered increasing interest worldwide [3,4,5,6]. LBP is defined as pain between the twelfth rib and the gluteal fold, while PGP is defined as pain experienced between the sacroiliac joint and the gluteal fold, or in the symphysis pubis [7]. The prevalence of pregnancy-related LBP and PGP varies from 20 to 80%, with the majority of studies reporting approximately 50% for LBP and/or PGP, and 20% for PGP specifically [4, 6,7,8,9,10].

Though not life-threatening conditions, pregnancy-related LBP and PGP may affect daily activities such as walking, working, sleep, and mood, thereby reducing quality of life [4, 5]. Commonly reported risk factors for pregnancy-related LBP and PGP are strenuous workload, frequent or prolonged torso flexion, previous history of LBP or PGP, and previous trauma to the pelvis [7, 8, 11]. Body mass index (BMI), parity, and depression are also found to be associated with LBP and PGP [6, 9, 10].

Nepal’s main source of income is agriculture, with 76% of households involved in agricultural activities, and 84% of women involved in agricultural work [12, 13]. The increase in labor migration among Nepal’s men has led to a triple role for women, who are involved in reproduction, agricultural production, and household work [14, 15]. The number of Nepalese women faced with physically strenuous work, little time for rest, and reduced family support, even during pregnancy, is high [16].

Pregnancy-related LBP and PGP are not generally regarded as serious complications and can thus be overlooked by healthcare professionals [4]. Nevertheless, disability and negative psychological effects related to LBP and PGP have been reported in many countries [4,5,6, 9, 10, 17,18,19]. A lack of awareness of the impairment caused by these musculoskeletal complaints can result in poor management of pregnant women. A multinational study showed variation in the prevalence, severity, and concern surrounding pregnancy-related LBP and PGP across different countries [4]. Societal attitudes, ethnicity, and cultural beliefs might influence how pregnancy-related LBP and/or PGP are perceived [20, 21]. Most studies on pregnancy-related LBP and PGP have been conducted in developed countries, and it seems that these conditions are often overlooked in developing countries [22].

To our knowledge, the prevalence and severity of pregnancy-related LBP and PGP have never been examined in Nepal [23]. Thus, the primary aim of this study was to assess the prevalence and severity of LBP and PGP in pregnant Nepalese women. A secondary aim was to determine the factors that influence LBP and PGP during pregnancy.

Methods

Study design and setting

A cross-sectional study with successive recruitment of pregnant women was conducted at two district hospitals in Nepal from May 2016 to May 2017. KIST Teaching Hospital in Lalitpur district is situated in the capital city Kathmandu, whereas Kathmandu University Dhulikhel Hospital (KUDH), in Kavreplanchowk district, is located 30 km northeast from Kathmandu. KIST and KUDH hospitals see about 1200 and 3500 live births each year, respectively.

Participants

Pregnant women attending antenatal control at KUDH and KIST hospitals were eligible for inclusion in the study if they were willing to participate, had no history of spinal fracture or surgery, and could understand and speak Nepali. Oral and written consent was obtained from women who agreed to participate in the study. One of two reasearch assistants collected and recorded data on a Samsung tablet with open data kit software.

Ethical approval was obtained from the Norwegian Regional Ethics Committee (REK Nord, 2015/2209), the Nepal Health Research Council Ethical Review Board (112/2016), and the Institutional Review Committee of Kathmandu University School of Medical Sciences/Dhulikhel Hospital (25/16).

Measurements

Participants completed questionnaires on sociodemographic, pregnancy, and workload characteristics. Sociodemographic information included: age (years), height (cm), weight (kg), ethnicity, women’s and husbands education in years (no education, primary ≤ 5, lower secondary 6–8, secondary 9–10, higher secondary 11–12, bachelor and above ≥ 13), monthly income in United States dollars (USD,$) (no income, less than $76, $76–153, > $153), occupation, marital status (living with husband, husband working away from home, divorced), type of family (nuclear: husband and children; joint: parents-in-law, husband, and children; extended: grandparents, parents-in-law, husband, and children), number of family members, and household work (washing/cleaning/cooking, child care, animal care, fetching water). Pregnancy characteristics included number of pregnancies, parity, and gestation (weeks). Workload information included waking hours, hours of rest during work, types of field work (farming, grass cutting, branch cutting, fetching water), working positions (sitting or squatting, standing or bending forward), and hours of prolonged sitting or standing.

The registration of LBP and PGP was done using a body chart. Participants who reported musculoskeletal pain were asked to indicate the location of their pain on a body chart, which was then validated by having the women point to the site of the pain on their body. If the women pointed to their lower back and/or pelvis, they were considered to have LBP and/or PGP. A physiotherapist then performed further clinical examination on women reporting LBP and/or PGP [7, 24, 25].

The women who reported LBP and/or PGP also responded to questions regarding pain intensity (numeric rating scale, 0 (no pain) to 10 (the most severe pain)) [26, 27], pain frequency (on some days, most days, every day), specific pelvic pain locations (sacrum, sacroiliac joints, and symphysis pubis), whether the LBP and/or PGP limited their usual activities or changed their daily routine for more than 1 day (no/yes) [28], whether they were concerned about the LBP and/or PGP (numeric rating scale, 0 (not concerned) to 10 (extremely concerned), and whether they believed that the LBP and/or PGP would disappear after delivery (no/yes).

Reliable and valid Nepalese versions of outcome measures were used to assess the severity of activity limitations and symptoms of pregnancy-related LBP and PGP. The Oswestry Disability Index (ODI), version 2 [29, 30], consists of 10 items with scores from 0 to 5, describing an increasing degree of difficulty. The Pelvic Girdle Questionnaire (PGQ) comprises 25 items with scores on a 4-point descriptive scale from 0 to 3, describing an increasing degree of symptoms and activity limitations [31,32,33]. The total sum score for both the ODI and the PGQ is expressed as a percentage from 0 to 100 (severe disability).

The women completed questionnaires on pelvic organ prolapse (POP) symptoms, urinary incontinence (UI), and depression symptoms. The POP symptom score (POP-SS) ranges from 0 to 28, with higher scores indicating more severe symptoms [34]. The International Consultation on Incontinence Questionnaire-UI Short Form (ICIQ-UI SF) score ranges from 0 to 21, with higher scores representing more severe UI symptoms [35]. The short five-item version of the Edinburgh Depression Scale (EDS-5) has four alternative answers to each question, scored from 0 to 3, adding up to a maximum score of 15 to represent the highest severity of depression [36].

Statistical analysis

Continuous variables with normal distribution are presented as mean (standard deviation (SD)) or median (interquartile range (iqr), 25th and 75th percentiles) if skewed. Categorical data are presented as numbers and percentages.

To assess the associations between independent variables and LBP and/or PGP, univariate and multivariate logistic regression with odds ratios (OR) and 95% confidence intervals (CIs) were used. The authors planned to include 20 independent variables to assess these associations, requiring at least 200 participants with pregnancy-related LBP and/or PGP. Prior to logistic regression analysis, the independent variables were tested for collinearity, and correlations greater than 0.7 were considered to be one-dimensional. Following this rule, potential univariate associations for 20 independent variables with the outcome of LBP and/or PGP were analyzed using Mann-Whitney U or Chi-square tests, depending on whether variables were continuous or categorical. Variables with p-values less than or equal to 0.25 were included in the multivariate regression model.

In order to enhance interpretability, the variables are presented in the following categories: age: ≤ 21, 22–24, 25–27, ≥ 28 years; weeks of gestation: 1–12, 13–28, 29–40; BMI: < 20, 20–24, 25–30, > 30; education: no education, primary-secondary (5–10 years), higher secondary and above (≥ 11 years); monthly income: no income, ≤ $153, and > $153; child care (no/yes), fetching water (no/yes), field work (no/yes), rest during work (no/yes); POP-SS: no symptoms vs ≥ 3 symptoms of POP (75th percentile); ICIQ-UI SF: no UI or reported UI; and EDS-5: < 5 or ≥ 5 symptoms of depression. A backward strategy was used in the multivariate modelling. Variables with p-values greater than or equal to 0.05 were excluded. Variables in the final model were checked for pair-wise interactions. The Statistical Package for the Social Sciences (SPSS) version 22 was used for statistical analysis.

Results

A total of 1284 pregnant women (54% from KUDH and 46% from KIST) were included in the study (Table 1). The mean age of the participants was 25 (SD 4) years, with a mean of 24 (SD 10) gestation weeks. Fifty-eight percent of the women were nulliparous. More than half of the women had secondary education, but only 14% had a monthly income. Fifty-two percent of the participants had to take care of animals and fetch water in addition to doing usual household work. Only one-third of the women reported taking breaks to rest while working, and the reported mean hours of rest per day was 1 (SD 1). Fifteen percent (n = 195) of the participants were involved in field work. Farming and grass cutting were the most common types of field work, and most of the women’s working hours were spent either sitting, standing, or bending forward, with a mean of 3 (SD 2) hours of prolonged standing.

Table 1 Characteristics of pregnant women included in the study (n = 1284)
Full size table

The reported prevalence of pregnancy-related LBP and/or PGP was 34% (Table 1). The sacrum and sacroiliac joints were the most commonly reported sites of pelvic pain, and only 7% of the women had pain in all three of the pelvic joints (Table 2). The clinical examination was limited, as many of the women refused to perform all clinical tests. The posterior pelvic pain provocation test was, however, performed in 379 (88%) women, and 73% had a positive result. Among the participants reporting LBP and/or PGP, evening pain intensity was reported to be high, with a mean of 6 (SD 2), while the total PGQ and ODI scores showed low and moderate disability, respectively. Twenty-four percent of the women had pain most days, and one-third reported a limitation of their ability to perform their usual activities for more than 1 day due to LBP and/or PGP. Concern about LBP and/or PGP was reported to be low (median 2 (iqr 0–4)). Almost 50% of the participating women were either unsure or did not believe that their pain would disappear after delivery.

Table 2 Descriptives of self-reported low back pain (LBP) and/or pelvic girdle pain (PGP) (n = 432)
Full size table

The univariate analyses showed a higher likelihood of pregnancy-related LBP and/or PGP in women with increased BMI, increasing weeks of gestation, higher education and higher monthly income, symptoms of POP, UI and depression, women who fetched water, and those whose husbands had a higher education and a higher monthly income (Table 3). The multivariate regression analysis showed significant associations in women with increased BMI, with husbands with higher education, and for women with POP symptoms (Table 4). No interactions were observed in the multivariate model. The strongest association was found between reported POP symptoms and LBP and/or PGP.

Table 3 Univariate analysis of factors associated with and without pregnancy-related low back pain (LBP) and/or pelvic girdle pain (PGP)
Full size table
Table 4 Multivariate analysis of factors associated with pregnancy-related low back pain (LBP) and/or pelvic girdle pain (PGP)
Full size table

Discussion

In this one-year prevalence study we found that LBP and/or PGP were commonly reported in pregnant Nepalese women. Though the reported pain intensity was high, disability and impact on daily life was found to be low. Only half of the participants believed that their pain would disappear after delivery. Multivariate analysis showed that women with increased BMI, POP symptoms, and husbands with higher education were significantly more likely to have pregnancy-related LBP and/or PGP.

The prevalence of LBP and/or PGP is consistent with a recent study from Western Nepal, in which back pain was reported as one of the most common complications during pregnancy [23]. A comparable study from another developing country also reported that LBP and PGP were commonly reported during pregnancy [17]. Still, the reported prevalence of pregnancy-related LBP and/or PGP in our study was found to be lower (34%) compared to studies in developed countries (45–86%) [4, 6, 8,9,10]. Possible explanations for the lower prevalence could be that most of our participants were pregnant for the first time, with a mean gestation of 24 weeks, compared to participants in other studies who were in their third trimester [4, 6, 10]. One or more previous deliveries and increasing numbers of weeks of gestation have been reported to increase the risk of LBP and/or PGP [9, 10, 17, 37].

Prevalence rates might also be influenced by the way data is collected. Data on LBP and PGP are commonly collected using questionnaires [4, 38]. Optimally, classification of LBP and PGP should be done through a thorough clinical examination [7]. Unfortunately, we were not able to clinically examine all the women. We based our classification on a validated body chart by asking the women to point to the pain on their body site. Body charts have previously been used to determine LBP and/or PGP; however, in contrast to our study, many studies lack a validation of the body chart [4, 10].

Compared to a recent international study, the women in our study showed higher pain intensity than women in the United States, Norway, and Sweden, but lower than women in the United Kingdom [4]. The women in the United Kingdom had lower education than the women studied in the other countries. The majority of the women in our sample also had lower education levels, which could be one reason for their reported high pain intensity, as education level has been found to be associated with severity of symptoms [39].

Despite high pain intensity, low disability scores were observed. Reported disability rates were much higher in pregnant women in Scandinavian countries, the United Kingdom, and the United States [4]. This result could be influenced by the differences in gestational period among the various groups of women studied, nevertheless, the inconsistency between pain intensity and disability is surprising. Only 10% of our sample reported LBP and/or PGP every day, and only one-third of the women reported that they had to limit their daily activities. These rates are lower than those seen in the study by Gutke et al. [4] Pain tolerance has been shown to be strongly associated with ethnic differences [20]. The differences in impact on daily life might be explained by the way Nepalese women adapt to pain or adopt different ways of coping with pain. Another possible explanation could be the neglect of health problems in Nepal due to the challenges of survival and meeting basic needs [16].

The participants were not very concerned about their LBP and/or PGP, even though only half of them believed that their pain would disappear after delivery. This belief in persistent pain postpartum could be due to lack of knowledge regarding the prognosis and recovery for LBP and PGP after delivery [40]. A study from Nepal reported the challenges faced by healthcare providers in providing information to patients with low education [41]. The lower educational level of our sample and lack of information regarding common pregnancy complaints might have led to their belief in persistent LBP and/or PGP postpartum.

We found that women with a higher BMI were more likely to report LBP and/or PGP. This finding is consistent with several previous studies [6, 9, 10, 42], although one study [43] reported no association. One surprising finding in the current study was that women with educated husbands were positively associated with pregnancy-related LBP and/or PGP. The majority of the women in our study were unemployed, and since highly educated husbands probably work away from home, it is likely that these women are responsible for household work, which might result in an increased strenuous physical workload influencing LBP and PGP [8, 11]. Our finding is supported by another study from Nepal where the overburden of physical work on women is reported to be due to the migration of their husbands, either to urban centers or abroad, for employment [15]. Half of the women in our study had to fetch water and take care of animals, in addition to household chores, and 15% of the studied women were also involved in field work. Heavy physical workload might be a reason for Nepalese women reporting a significantly higher prevalence of backache compared to Nepalese men [44].

POP symptoms were also found to be associated with pregnancy-related LBP and/or PGP in our study. LBP, PGP, and POP are reported to be influenced by weakness and laxity of the muscles and their supporting structures [45, 46]. During pregnancy the laxity of pelvic ligaments is exacerbated due to the release of the hormone relaxin [47]. Even though increased concentration of relaxin is seen during pregnancy, a positive association has not been established between pregnancy-related PGP and relaxin [48]. Dufour et al. [49] reported high correlations between pelvic organ dysfunction and lumbo-pelvic pain, whereas Stuge at al. [50] reported no evidence for impaired pelvic floor muscle function in postpartum women with PGP, though a tendency towards POP was reported. We used POP-SS, which is a self-reported outcome measure for identifying POP symptoms, and as one of the questions is related to LBP this might influence the association.

Our univariate model showed significant associations of LBP and/or PGP with women with higher education and income, women whose husbands had higher income, weeks of gestation, workload (fetching water, rest during work, field work), and UI and depression symptoms. However, in contrast to previous studies, none of these variables were associated in our multivariate model [9,10,11, 19, 39, 51]. Compared to most studies performed in developed countries, our study might be influenced by other social and ethnic factors [20, 21]. More studies in developing countries are needed to increase the knowledge related to these factors.

A strength of our study is the large sample size of 1284 pregnant women. Further, to gain a broader representation of Nepal’s population, data was collected from two hospitals in different districts that care for patients from rural (KUDH hospital) and urban (KIST hospital) areas. Still, the results from our study population might not be generalized to women living in remote areas. Another strength is that we used reliable and valid outcome measures for assessing LBP and PGP, allowing us to compare our results with those from other studies. To our knowledge, the prevalence, severity, and associations of pregnancy-related LBP and/or PGP have not previously been assessed in Nepal using standardized questionnaires. The use of open data kit software for data collection led to very little missing data, further strengthening our study. One possible limitation is that the questionnaires were administrated by a research assistant, however, since most of the participants had low levels of education, oral administration was needed to obtain data.

The present study shows that LBP and PGP are prevalent in pregnant Nepalese women and that women experience severe pain intensity alongside a belief in persistent pain post-partum. In developing countries like Nepal, LBP and PGP might be overlooked or considered to be normal complaints during pregnancy [22]. Nepalese women contribute significantly to agricultural and household work, even during pregnancy, and good physical health is needed [15, 16, 44]. Hence, our study highlights the need to address the complaints of LBP and PGP during pregnancy, and for health care providers to deliver timely information and treatment to prevent long-lasting pain.

Conclusions

LBP and PGP are prevalent in pregnant Nepalese women. Despite severe pain intensity, the women experienced low disability. Women with increased BMI, POP symptoms, and husbands with higher education were significantly associated with LBP and/or PGP. Women’s belief in poor recovery of LBP and PGP after delivery indicates a need for assessment and information about musculoskeletal complaints in pregnant women in Nepal.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on request.

Abbreviations

BMI:

Body mass index

CI:

Confidence interval

EDS-5:

Edinburgh Depression Scale-5

ICIQ-UI SF:

International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form

KUDH:

Kathmandu University Dhulikhel Hospital

LBP:

Low back pain

NRS:

Numeric Rating Scale

ODI:

Oswestry Disability Index

PGP:

Pelvic girdle pain

PGQ:

Pelvic Girdle Questionnaire

POP:

Pelvic organ prolapse

POP-SS:

Pelvic Organ Prolapse Symptom Score

SD:

Standard deviation

UI:

Urinary incontinence

USD:

United States dollar

References

  1. Alkema L, Chou D, Hogan D, Zhang S, Moller AB, Gemmill A, Fat DM, Boerma T, Temmerman M, Mathers C, et al. Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN maternal mortality estimation inter-agency group. Lancet. 2016;387(10017):462–74. https://doi.org/10.1016/S0140-6736(15)00838-7.

    Article  Google Scholar 

  2. Firoz T, Chou D, von Dadelszen P, Agrawal P, Vanderkruik R, Tuncalp O, Magee LA, van Den Broek N, Say L. Measuring maternal health: focus on maternal morbidity. Bull World Health Organ. 2013;91(10):794–6. https://doi.org/10.2471/BLT.13.117564.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ceprnja D, Chipchase L, Gupta A. Prevalence of pregnancy-related pelvic girdle pain and associated factors in Australia: a cross-sectional study protocol. BMJ Open. 2017;7(11). https://doi.org/10.1136/bmjopen-2017-018334.

  4. Gutke A, Boissonnault J, Brook G, Stuge B. The severity and impact of pelvic girdle pain and low-back pain in pregnancy: a multinational study. J Women's Health. 2018;27(4):510–7. https://doi.org/10.1089/jwh.2017.6342.

    Article  Google Scholar 

  5. Mackenzie J, Murray E, Lusher J. Women’s experiences of pregnancy related pelvic girdle pain: a systematic review. Midwifery. 2018;56:102–11. https://doi.org/10.1016/j.midw.2017.10.011.

    Article  PubMed  Google Scholar 

  6. Mens JMA, Huis in’t Veld YH, Pool-Goudzwaard A. Severity of signs and symptoms in lumbopelvic pain during pregnancy. Man Ther. 2012;17(2):175–9. https://doi.org/10.1016/j.math.2011.12.012.

    Article  PubMed  Google Scholar 

  7. Vleeming A, Albert HB, Östgaard HC, Sturesson B, Stuge B. European guidelines for the diagnosis and treatment of pelvic girdle pain. Eur Spine J. 2008;17(6):794–819. https://doi.org/10.1007/s00586-008-0602-4.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Wu WH, Meijer OG, Uegaki K, Mens JM, van Dieen JH, Wuisman PI, Ostgaard HC. Pregnancy-related pelvic girdle pain (PPP), I: terminology, clinical presentation, and prevalence. Eur Spine J. 2004;13(7):575–89.

    Article  CAS  Google Scholar 

  9. Mogren IM, Pohjanen AI. Low back pain and pelvic pain during pregnancy: prevalence and risk factors. Spine (Phila Pa 1976). 2005;30(8):983–91.

    Article  Google Scholar 

  10. Kovacs FM, Garcia E, Royuela A, Gonzalez L, Abraira V. Prevalence and factors associated with low back pain and pelvic girdle pain during pregnancy: a multicenter study conducted in the Spanish national health service. Spine (Phila Pa 1976). 2012;37(17):1516–33.

    Article  Google Scholar 

  11. Juhl M, Andersen PK, Olsen J, Andersen A-MN. Psychosocial and physical work environment, and risk of pelvic pain in pregnancy. A study within the Danish national birth cohort. J Epidemiol Community Health. 2005;59(7):580–5.

    Article  Google Scholar 

  12. Government of Nepal, Ministry of Health and Population (MOHP). Nepal demographic and health survey. 2011. https://dhsprogram.com/pubs/pdf/fr257/fr257%5B13april2012%5D.pdf. Accessed 18 Jan 2018.

    Google Scholar 

  13. International Labour Organization. Nepal labour market update. 2017. https://www.ilo.org/wcmsp5/groups/public/---asia/---ro-bangkok/---ilo-kathmandu/documents/publication/wcms_543497.pdf. Accessed 18 Jan 2018.

  14. Government of Nepal, Ministry of Labour and Employment. Labour migration for employment. A status report for Nepal: 2014/2015. https://www.ilo.org/wcmsp5/groups/public/---asia/---ro-bangkok/---ilo-kathmandu/documents/publication/wcms_500311.pdf. Accessed 21 Apr 2018.

  15. Tamang S, Paudel KP, Shrestha KK. Feminization of agriculture and its implications for food security in rural Nepal. J For Livelihood. 2014;12(1):20–32.

    Google Scholar 

  16. Shrestha B, Onta S, Choulagai B, Poudyal A, Pahari DP, Uprety A, Petzold M, Krettek A. Women’s experiences and health care-seeking practices in relation to uterine prolapse in a hill district of Nepal. BMC Womens Health. 2014;14:20. https://doi.org/10.1186/1472-6874-14-20.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Ramachandra P, Maiya AG, Kumar P, Kamath A. Prevalence of musculoskeletal dysfunctions among Indian pregnant women. J Pregnancy. 2015. https://doi.org/10.1155/2015/437105.

    Article  Google Scholar 

  18. Pierce H, Homer CS, Dahlen HG, King J. Pregnancy-related lumbopelvic pain: listening to Australian women. Nurs Res Pract. 2012. https://doi.org/10.1155/2012/387428.

    Article  Google Scholar 

  19. Virgara R, Maher C, Van Kessel G. The comorbidity of low back pelvic pain and risk of depression and anxiety in pregnancy in primiparous women. BMC Pregnancy Childbirth. 2018;18(1):288. https://doi.org/10.1186/s12884-018-1929-4.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Rowell LN, Mechlin B, Ji E, Addamo M, Girdler SS. Asians differ from non-Hispanic whites in experimental pain sensitivity. Eur J Pain. 2011;15(7):764–71. https://doi.org/10.1016/j.ejpain.2010.11.016.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Sturgeon JA, Zautra AJ. Social pain and physical pain: shared paths to resilience. Pain Manag. 2016;6(1):63–74. https://doi.org/10.2217/pmt.15.56.

    Article  PubMed  Google Scholar 

  22. Gorginzadeh M, Imani F, Safari S. Pregnancy-related pelvic pain: a neglected field in developing countries. Anesth Pain Med. 2016;6(1). https://doi.org/10.5812/aapm.35506.

  23. Devkota R, Khan GM, Alam K, Regmi A, Sapkota B. Medication utilization pattern for management of pregnancy complications: a study in Western Nepal. BMC Pregnancy Childbirth. 2016;16:272. https://doi.org/10.1186/s12884-016-1068-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Stuge B, Veierod MB, Laerum E, Vollestad N. The efficacy of a treatment program focusing on specific stabilizing exercises for pelvic girdle pain after pregnancy: a two-year follow-up of a randomized clinical trial. Spine (Phila Pa 1976). 2004;29(10):E197–203.

    Article  Google Scholar 

  25. Ostgaard HC, Zetherstrom G, Roos-Hansson E. The posterior pelvic pain provocation test in pregnant women. Eur Spine J. 1994;3(5):258–60.

    Article  CAS  Google Scholar 

  26. Kahl C, Cleland JA. Visual analogue scale, numeric pain rating scale and the mcgill pain questionnaire: an overview of psychometric properties. Phys Ther Rev. 2005;10(2):123–8. https://doi.org/10.1179/108331905X55776.

    Article  Google Scholar 

  27. Sharma S, Palanchoke J, Reed D, Haxby AJ. Translation, cross-cultural adaptation and psychometric properties of the Nepali versions of numerical pain rating scale and global rating of change. Health Qual Life Outcomes. 2017;15(1):236. https://doi.org/10.1186/s12955-017-0812-8.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Dionne CE, Dunn KM, Croft PR, Nachemson AL, Buchbinder R, Walker BF, Wyatt M, Cassidy JD, Rossignol M, Leboeuf-Yde C, et al. A consensus approach toward the standardization of back pain definitions for use in prevalence studies. Spine (Phila Pa 1976). 2008;33(1):95–103. https://doi.org/10.1097/BRS.0b013e31815e7f94.

    Article  Google Scholar 

  29. Fairbank J, Couper J, Davies J, O’brien J. The oswestry low back pain disability questionnaire. Physiotherapy. 1980;66(8):271–3.

    CAS  PubMed  Google Scholar 

  30. Acharya RS, Al-Oraibi S, Adhikari SP, Parajuli N, Limbu H, Al Enezi F. Validation in the cross-cultural adaptation of the Nepali version of the oswestry disability index. IJPOT. 2014;8(2):158. https://doi.org/10.5958/j.0973-5674.8.2.079.

    Article  Google Scholar 

  31. Stuge B, Garratt A, Jenssen HK, Grotle M. The pelvic girdle questionnaire: a condition-specific instrument for assessing activity limitations and symptoms in people with pelvic girdle pain. Phys Ther. 2011;91(7):1096–108. https://doi.org/10.2522/ptj.20100357.

    Article  PubMed  Google Scholar 

  32. Stuge B, Jenssen HK, Grotle M. The pelvic girdle questionnaire: responsiveness and minimal important change in women with pregnancy-related pelvic girdle pain, low back pain, or both. Phys Ther. 2017;97(11):1103–13. https://doi.org/10.1093/ptj/pzx078.

    Article  PubMed  Google Scholar 

  33. Shijagurumayum Acharya R, Tveter AT, Grotle M, Khadgi B, Koju R, Eberhard-Gran M, Stuge B. Cross-cultural adaptation and validation of the Nepali version of the pelvic girdle questionnaire. J Manipulative Physiol Ther. Accepted for publication on 7th April 2019.

  34. Hagen S, Glazener C, Sinclair L, Stark D, Bugge C. Psychometric properties of the pelvic organ prolapse symptom score. BJOG. 2009;116(1):25–31.

    Article  CAS  Google Scholar 

  35. Avery K, Donovan J, Peters TJ, Shaw C, Gotoh M, Abrams P. ICIQ: a brief and robust measure for evaluating the symptoms and impact of urinary incontinence. Neurourol Urodyn. 2004;23(4):322–30.

    Article  Google Scholar 

  36. Eberhard-Gran MEA, Samuelsen SO, Tambs K. A short matrix version of the Edinburgh depression scale. Acta Psychiatr Scand. 2007;116(3):195–200.

    Article  CAS  Google Scholar 

  37. Bjelland EK, Eskild A, Johansen R, Eberhard-Gran M. Pelvic girdle pain in pregnancy: the impact of parity. Am J Obstet Gynecol. 2010;203(2). https://doi.org/10.1016/j.ajog.2010.03.040.

    Article  Google Scholar 

  38. Bjelland EK, Stuge B, Engdahl B, Eberhard-Gran M. The effect of emotional distress on persistent pelvic girdle pain after delivery: a longitudinal population study. BJOG. 2013;120(1):32–40.

    Article  CAS  Google Scholar 

  39. Chang HY, Jensen MP, Yang YL, Lee CN, Lai YH. Risk factors of pregnancy-related lumbopelvic pain: a biopsychosocial approach. J Clin Nurs. 2012;21(9–10):1274–83. https://doi.org/10.1111/j.1365-2702.2011.03895.x.

    Article  PubMed  Google Scholar 

  40. Vollestad NK, Stuge B. Prognostic factors for recovery from postpartum pelvic girdle pain. Eur Spine J. 2009;18(5):718–26. https://doi.org/10.1007/s00586-009-0911-2.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Moore M. What do Nepalese medical students and doctors think about patient-centred communication? Patient Educ Couns. 2009;76(1):38–43. https://doi.org/10.1016/j.pec.2008.11.018.

    Article  PubMed  Google Scholar 

  42. Biering K, Nøhr EA, Olsen J, Andersen A-MN, Hjøllund NH, Juhl M. Pregnancy-related pelvic pain is more frequent in women with increased body mass index. Acta Obstet Gynecol Scand. 2011;90(10):1132–9. https://doi.org/10.1111/j.1600-0412.2011.01141.x.

    Article  PubMed  Google Scholar 

  43. Sencan S, Ozcan-Eksi EE, Cuce I, Guzel S, Erdem B. Pregnancy-related low back pain in women in Turkey: prevalence and risk factors. Ann Phys Rehabil Med. 2018;61(1):33–7. https://doi.org/10.1016/j.rehab.2017.09.005.

    Article  PubMed  Google Scholar 

  44. Pradhan A, Shrestha N. Working hour and its impact on backache from gender perspective. Dhaulagiri J Sociol Anthropol. 2010;4:235–46.

    Article  Google Scholar 

  45. DeLancey JO, Morgan DM, Fenner DE, Kearney R, Guire K, Miller JM, Hussain H, Umek W, Hsu Y, Ashton-Miller JA. Comparison of levator ani muscle defects and function in women with and without pelvic organ prolapse. Obstet Gynecol. 2007;109(2 Pt 1):295–302.

    Article  Google Scholar 

  46. Goubert D, Oosterwijck JV, Meeus M, Danneels L. Structural changes of lumbar muscles in non-specific low back pain: a systematic review. Pain Physician. 2016;19(7):E985–E1000.

    PubMed  Google Scholar 

  47. Petersen LK, Vogel I, Agger AO, Westergard J, Nils M, Uldbjerg N. Variations in serum relaxin (hRLX-2) concentrations during human pregnancy. Acta Obstet Gynecol Scand. 1995;74(4):251–6.

    Article  CAS  Google Scholar 

  48. Aldabe D, Ribeiro DC, Milosavljevic S, Dawn BM. Pregnancy-related pelvic girdle pain and its relationship with relaxin levels during pregnancy: a systematic review. Eur Spine J. 2012;21(9):1769–76.

    Article  Google Scholar 

  49. Dufour S, Vandyken B, Forget MJ, Vandyken C. Association between lumbopelvic pain and pelvic floor dysfunction in women: a cross sectional study. Musculoskelet Sci Pract. 2018;34:47–53. https://doi.org/10.1016/j.msksp.2017.12.001.

    Article  PubMed  Google Scholar 

  50. Stuge B, Sætre K, Brækken IH. The association between pelvic floor muscle function and pelvic girdle pain - a matched case control 3D ultrasound study. Man Ther. 2012;17(2):150–6. https://doi.org/10.1016/j.math.2011.12.004.

    Article  PubMed  Google Scholar 

  51. Fitzgerald CM, Santos LR, Mallinson T. The association between pelvic girdle pain and urinary incontinence among pregnant women in the second trimester. Int J Gynaecol Obstet. 2012;117(3):248–50. https://doi.org/10.1016/j.ijgo.2012.01.014.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank the women who participated in this study. We would also like to thank the Obstetric and Gynaecology Department at KIST Teaching Hospital and Kathmandu University Dhulikhel Hospital, Nepal for allowing us to collect the data. In particular, we would like to thank the research assistants Ms. Jashmi Maharjan, Ms. Jesmina Maharjan and co-worker Ms. Bimika Khadgi for the help in data collection and valuable input for the questionnaires. We would also like to thank Eira Kathleen Ebbs for valuable help in language cleaning of the manuscript.  Furthermore, we would like to thank Mr. Prabin Shakya and Ms. Pramita Shrestha for their valuable help in setting up the questionnaires in open data kit.

Funding

Funding has been provided by the Norwegian State Educational Loan Fund through the Norwegian Quota Scheme, Norway. The funding body has not been involved in either the design of the study; collection, analysis, interpretation of data or in writing the manuscript.

Author information

Authors and Affiliations

  1. Department of Physiotherapy, Kathmandu University School of Medical Sciences, Kathmandu University Dhulikhel Hospital, Kavre, Nepal

    Ranjeeta Shijagurumayum Acharya

  2. Institute of Clinical Medicine, University of Oslo, Oslo, Norway

    Ranjeeta Shijagurumayum Acharya & Malin Eberhard-Gran

  3. Division of Orthopaedic Surgery, Oslo University Hospital, Oslo, Norway

    Ranjeeta Shijagurumayum Acharya & Britt Stuge

  4. Department of Physiotherapy, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway

    Anne Therese Tveter & Margreth Grotle

  5. National Advisory Unit on Rehabilitation in Rheumatology, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway

    Anne Therese Tveter

  6. FORMI, Oslo University Hospital, Oslo, Norway

    Margreth Grotle

  7. Health Services Research Unit, Akershus University Hospital, Lørenskog, Norway

    Malin Eberhard-Gran

  8. Department for Infant Mental Health, Regional Center for Child and Adolescent Mental Health, Oslo, Eastern and Southern Norway, Norway

    Malin Eberhard-Gran

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  1. Ranjeeta Shijagurumayum Acharya
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  2. Anne Therese Tveter
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  3. Margreth Grotle
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  4. Malin Eberhard-Gran
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  5. Britt Stuge
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Contributions

RSA, ATT, MG, MEG, and BS contributed to conception and design, analysis, interpretation of data, manuscript drafting, and critical revision of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ranjeeta Shijagurumayum Acharya.

Ethics declarations

Ethics approval and consent to participate

Ethical approval was obtained from the Norwegian Regional Ethics Committee, Norway (REK Nord, 2015/2209); The Nepal Health Research Council Ethical Review Board (112/2016), Nepal; The Institutional Review Committee of Kathmandu University School of Medical Sciences/Dhulikhel Hospital (25/16), Nepal. Oral and written consent was obtained from the participants who agreed to participate in this study.

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Not applicable.

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The authors declare that they have no competing interests.

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Shijagurumayum Acharya, R., Tveter, A., Grotle, M. et al. Prevalence and severity of low back- and pelvic girdle pain in pregnant Nepalese women. BMC Pregnancy Childbirth 19, 247 (2019). https://doi.org/10.1186/s12884-019-2398-0

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Keywords

  • Pelvic girdle pain
  • Low back pain
  • Pelvic pain
  • Women’s health
  • Nepal
  • Pregnancy
  • Prevalence
  • Severity
  • Function
  • Impact

BMC Pregnancy and Childbirth

ISSN: 1471-2393

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