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  • Research article
  • Open Access
  • Open Peer Review

Differentials in health-related quality of life of employed and unemployed women with normal vaginal delivery

  • 1Email author,
  • 1,
  • 1,
  • 2,
  • 1 and
  • 1
BMC Women's HealthBMC series – open, inclusive and trusted201818:13

https://doi.org/10.1186/s12905-017-0481-0

  • Received: 9 January 2016
  • Accepted: 28 November 2017
  • Published:
Open Peer Review reports

Abstract

Background

The combination of child care and domestic work demands on both housewives and the employed (hired) women may impact their health-related quality-of-life. There is paucity of studies to ascertain this. This study investigated the differences in health-related quality of life of employed and unemployed women with normal vaginal delivery and associated socio-demographic variables.

Methods

This longitudinal study was done from March, 2012 to June, 2013. Modified SF-36v2™ health-related quality of life questionnaire was administered to 234 newly delivered women drawn from six selected hospitals in Enugu, Southeast Nigeria at 6, 12 and 18 weeks postpartum. Respondents were reached for data collection through personal contacts initially at the hospitals of delivery, and subsequently by visits to their homes/workplaces or cell-phone calls. Women were asked to indicate how each of 36 items applied to them at each of the three times. Data collection lasted for six calendar months and 17 days (from September 3rd 2012 to 20th March, 2013).

Results

All the women had their best HrQoL at 12 weeks postpartum. Employed women reported lower health-related quality-of-life than the unemployed at the three time-points, the lowest mean score being at 18 weeks postpartum (Mean = 73.9). Multiple comparison of scores of the two groups using Tukey HSD Repeated Mean showed significant variation on the eight subscales of the health-related quality-of-life. Physical functioning (p = 0.045), Physical role limitation (p = 0.000), bodily pain (p = 0.000), social functioning (p = 0.000) and general health (p = 0.000) were unequal guaranteeing type 1 error. Women with higher education and personal income reported higher health-related quality-of-life (p < 0.05). Employed women have more problems with physical health components and are more negatively affected by increasing age except those with higher education and personal income.

Conclusions

Increased responsibilities combined with increasing age and low socio-economic status reduce women’s health-related quality-of-life post-partum. The traditionally accepted paid 3 months maternity leave should be elongated by extra months to help women balance their daily work with baby care. Gender sensitive employment opportunities in favour of women are necessary to empower more women economically.

Keywords

  • Child care
  • Education
  • Employment
  • Normal vaginal delivery
  • Postpartum women
  • Quality of life

Background

The combination of child care and domestic work demands may impact their health-related quality-of-life (HrQoL) of housewives and the employed (hired) women. HrQoL is self-report of one’s perceived feeling of comfort, ability to realize his/her life potentials and satisfaction with life as expressed in the person’s physical, emotional and social functions of life. This study is a self-report, based on scores obtained on the eight sub-scales and single items of modified Short Form 36 version 2 (SF36v2™) HrQoL instrument by Ware and Sherbourne [1] that includes general health, physical functioning, physical role limitation, emotional role limitation, social functioning, bodily pains, vitality, and mental health of employed and unemployed women. Most available literatures on HrQoL view it as a framework for examining disease and its impact on a patient [14]. However, other life situations than disease, such as child birth and care, have been noted to impact on ones HrQoL.The few available studies that compare QoL in newly delivered women with paid job and the unemployed show that the later are often financially dependent and as a result experience more economic hardship than the former [5]. Meanwhile, based on Udo’s [6] report, as at first quarter of 2016, only about 63.8% of Nigerian women were employed – 14% were unemployed while 22.2% were underemployed.

Age was shown by some studies as a strong factor influencing [711]. Regidor et al. [11] observes that persons aged 25–44 years had better mental health and general health while those aged 45–64 years had better physical functioning and general health. However, In contrast, Bolton et al. [8] observed that younger adults had higher HrQoL with physical activity than their older counterparts. Socio-economic status (SES) studies showed consistently high HrQoL for the most affluent and the most highly educated subjects, the contrary for the middle and lower income and education groups [12, 13]. A multicentre cross-sectional observational study on SES and HrQoL of 4574 patients with chronic obstructive pulmonary disease by Meravitlles et al. [14] showed similar result.

The purpose of this study is to establish the differences in the eight sub-scales of HrQoL of employed and unemployed women at 6, 12 and 18 weeks postpartum and to determine personal factors of age, education, and personal income (amount of money the woman had direct access to and control of - earned from employer (for employed women) or received as monthly stipend from spouse (for the unemployed)) that influence them, where they exist. This study hypothesized that: there is no difference in the HrQoL of employed and unemployed women following their return to routine tasks along with baby care at 12 and 18 weeks after normal delivery; there is no significant difference in HrQoL scores of employed and unemployed women at 18 weeks postpartum based on their age, education, and personal income. The study is expected to yield self-perception data source for establishing the QoL of postpartum mothers in this part of the world where women are exposed to a lot of socio-economic challenges [15, 16]. Findings may be used as basis for making pertinent recommendations for health policies and legislation on interventions to improve situations of the vulnerable groups and guide the development of strategic plans for health and employment.

Methods

Design

This was a longitudinal, prospective descriptive study design as consenting newly delivered mothers were assessed without any intervention to determine their HrQoL changes at three points as they returned to pre-pregnancy daily activities.

Setting

The study was carried out in three local government areas in Enugu capital territory, f Enugu State, southeastern Nigeria from March, 2012 to June, 2013. Enugu is a city with an area of about 100 km [2]. It encompasses major high density residential and commercial areas in the urban part of Enugu State with a population of up to 100,000 residents [17] and ten residential layouts. Igbo language is the people’s vernacular, However, as an urban community, English Language, which is Nigeria’s official language, is spoken and understood by most of the people.

Located in the city are numerous private and public hospitals that function as peripheral and/or referral centres for maternal, newborn and child healthcare services.

Population of the study

The average monthly registration for 6 weeks post-natal visit in six selected hospitals popular in obstetric health services in Enugu was used to estimate the population of 363 newly delivered women used for the study.

Sample

Power analysis was used to estimate the sample size of 234 newly delivered mothers. Using the Creative Research Systems survey software of the Sample size calculator formula of: ss = (Z [2]*(p)*(1-p))/C [2]; where: Z = 1.96, p = proportion of target population (estimated to have complication-free normal vaginal delivery) (expressed as 0.5), C = Confidence Interval (.04 ± 4) [18], a sample of 187 was initially estimated. Applying the adjusted sample size formula for anticipated 20% attrition rate: q = n/1-f (where q is adjusted sample size; n is original sample size; and, f is estimated non-response rate) [19], the initial sample size estimate was adjusted from 187 to 234.. This sample size represented about 64.5% of the population.

Multi-stage sampling technique was adopted in the process of selecting the sampling units. Firstly, the city was stratified using its three Local Government Areas (LGAs). Then, two health facilities from each LGA commonly used by child bearing women were purposively selected (a total of 6 health facilities). The sample units to be recruited were proportionately predetermined to be 50 % (117) employed and unemployed women, respectively.

The women that met the following inclusion criteria were recruited into the study: women aged between 20 and 44 years; had normal delivery of a healthy term baby in any of the selected hospitals within the past 6 weeks at the time of selection; either on a paid job outside home or an unpaid housewife; without history of complicated pregnancy/medical conditions; no stress-inducing experiences (such as loss of a family member, divorce, or family problems); and, women who consent to participate. Consent of spouses of women who opted to be visited at home for the second and third rounds of data collection at 12 and 18 weeks post delivery respectively, were obtained to allow researcher to visit their matrimonial home.

Instrument

Modified form of the standardized Iranian version of Short-Form 36-item Version 2 Health Survey Questionnaire (SF-36v2™) was used for data collection in this study. The SF-36v2™ is a standardized popular generic short form of HrQoL survey instrument developed by Ware and Sherbourne in 1996 with 36-item self-rated health status profile [2024]. Iranian version of the SF-36v2™ is also standardized [22]. It measures eight health-related concepts: physical functioning (limitations in typical daily physical activities due to health problems), physical role limitation (limitations with work or other regular daily activities due to physical health problems), bodily pain, general health perceptions (self-rated health), vitality, social functioning (limitations in social activities with the family, friends, neighbours, or groups such as visits, meetings, wedding and burial ceremonies), emotional role limitation (limitations with work or other regular daily activities as a result of any emotional problems, such as feeling depressed or anxious), and perceived mental health (how the woman feels and how things have been with her). Psychometrically, these eight scales are hypothesized to form two distinct higher-order clusters – physical health component summary (PCS) and mental health component summary (MCS) – since they have certain physical and mental health variance in common. Thus, the taxonomy of items and concepts underlying the construction of the SF-36 scales and summary measures are at three levels, namely: 36 items; eight sub-scales that aggregate 2–10 items each; and, two summary measures that aggregate sub-scales.

The instrument is validated to be a self-completed or as interviewer-administered questionnaire in English Language under the name of SF-36v2™1. Montazeri et al. [22] did a translation and validation study of the Iranian version of this SF-36v2™. The SF-36v2™ has been used worldwide in many studies [1, 4, 13, 22, 25, 26] and the Iranian version was recorded to have a well documented validity [22]. Both MCS and PCS of this Iranian version were shown to have satisfactory internal consistency reliabilities. Cronbach’s alpha coefficient for the PCS was 0.87 and 0.82 for the MCS.

The English version of the instrument was used as this is the common language understood and spoken by all members of the study group. However, for clarity and better understanding of terms by respondents in the study area, some language modifications were made in some items of the original standardized Iranian version SF-36v2™ as attached [see Additional file 1]. Also, 3-item questionnaire was used to collect data on respondents’ demographic information on age, educational level, and personal income per month. Education was based on highest educational qualification attained. For the purposes of reporting HrQoL by personal income, women were categorised into four groups based initially on Nigeria’s minimum wage of N18,000.00 (US$107) per month for government-employed workers and subsequently, by equivalent personal income (in equivalent sizes of N50,000.00 (US$298) per month (between groups). For every woman recruited for possible inclusion, personal data including full name, popular (or preferred) name, home address, office address (where applicable), phone number (where available), and preferred contact mode (visit at home or office) were documented.

The researcher-modified instrument was validated for context and content by presenting a draft of it and a copy of the original instrument, as well as the research objectives, and scope to a professor in Measurement and Evaluation to comment on the appropriateness of arrangements and the modifications. To ascertain its reliability, 20 copies were administered to 20 postnatal women with similar characteristics that attended a specialist maternity hospital in another state in eastern Nigeria. The percentage scores of responses for each section of the instrument were subjected to split-half reliability test using Pearson’s Product Moment Correlation. The alpha coefficient result of 0.87 was considered satisfactory.

Data collection

First contact with the women was when they visited health facility for 6 weeks postpartum care. Following self-introduction of researcher (or assistant) and establishment of rapport, purpose of the study and need for repeat visits were explained, while necessary history and consent to participate were sought. Upon accepting to participate, and after signing the informed consent sheet, those who met the inclusion criteria had a copy of the instrument administered to them. They were asked to read the contents as carefully as possible and respond to each item as it applied to them. For those who could not read and/or write (due to their low level of education), the researcher or assistant helped by reading out the contents to the respondents and filling in the responses as objectively as possible. After 6 weeks, the researcher and/or assistant visited each respondent at the preferred contact place for second round data collection. For those who preferred interview through phone call, data were collected through cell phone discussion guided strictly by contents of the instrument. At the third round, data collection was repeated after another 6 weeks through the respondent-preferred means. Employed women who could not resume work when due (after 12 weeks), for any reason, were removed from the study. Data collection lasted for six calendar months and 17 days (from September 3rd 2012 to 20th March, 2013).

Method of data analysis

Data were analysed descriptively using frequency, percentages, mean and standard deviation (SD). For each scale of the SF-36v2™ the mean was computed and scores converted to percentages to ensure true proportion of values. The scores at 6, 12 and 18 weeks were subjected to chi square test to determine the differences in dimensions of HrQoL for the employed and unemployed. Tukey test was used to compare the mean of the women’s HrQoL scores at 6, 12 and 18 weeks postpartum while the data were subjected to analysis of variance (ANOVA) to determine the interaction between the two groups of women and their demographic variables of age, educational level and personal income at 6, 12 and 18 weeks postpartum. All statistical analyses were performed using the IBM SPSS statistical software package version 23. All values of p < 0.05 were considered significant.

Results

Of the 234 women enrolled at baseline, 23 (9.8%) (10 unemployed and 13 employed women) were lost due to voluntary withdrawal, incorrect address/phone number, loss of baby, or failure to resume work at 12 weeks post delivery. Three unemployed women were deliberately withdrawn to equalize number with employed women. Final sample was 208 women (104 employed and 104 unemployed women), 88.9% of the baseline sample [see Additional file 2: Figure 1].

Table 1 showed the mean (±SD) age of participants as 27.91(±5.89) years, comprising mainly women within the age range of 20–24 years (36.0%) and 25–29 years (30.8%) respectively. While all the women, except 2 unemployed, had some form of formal education, more of the employed women (53 = 51.0%) than the unemployed (16 = 15.4%) had a tertiary education. The mean personal income per month for the participants was N48,159.00. The unemployed earned average of N27,087.00, while the employed earned higher (N69,231.00). Twenty-one out of 33 women that earned above N100,000.00 were employed. Conversely, 48 out of 52 women that earned less than N18,000.00 (Nigeria minimum wage standard) were unemployed.
Table 1

Characteristics of the respondents

  

Total (n = 208)

Unemployed (104)

Employed (104)

F

%

F

%

F

%

Age

20–24

75

36.0

43

41.3

32

30.8

 

25–29

64

30.8

34

32.7

30

28.8

 

30–34

37

17.8

18

17.3

19

18.3

 

35–39

21

10.1

8

7.7

13

12.5

 

40–44

11

5.3

1

1.0

10

9.6

 

Mean(SD)

27.91(5.89)

26.71(4.97)

29.07(6.52)

Education

No formal

2

1.0

2

1.9

0

0

 

Primary

24

11.5

21

20.2

3

2.9

 

Secondary

113

54.3

65

62.5

48

46.1

 

Higher (Tertiary)

69

33.2

16

15.4

53

51.0

Personal income

Less than N18,000

52

25.0

48

46.15

4

3.8

N18.000- N50,000

95

45.7

48

46.15

47

45.2

 

N51,000-N100,000

38

18.3

6

5.8

32

30.8

 

> N100,000

23

11.0

2

1.9

21

20.2

 

Mean

N48,159

N27,087

N69,231

Repeated measures ANOVA of scores on the eight subscale showed that both groups of women had their best HrQoL at 12 weeks postpartum. In all the sub-scales, the employed women reported lower HrQoL at the three time-points than the unemployed, the poorest being at 18 weeks postpartum (Mean = 73.9). At 18 weeks, the employed women reported more bodily pain, poorer physical role functioning and poorer social functioning (Mean scores: 51.0; 51.2; 52.9 respectively) than the unemployed (mean scores: 84.5; 88.3; 88.4 respectively). There were significant mean score differences between the unemployed and the employed women in the HrQoL subscales of physical functioning (p = 0.045), physical role limitation (p = 0.000), bodily pain (p = 0.000), general health (p = 0.000), and Social functioning (p = 0.000) over time. (Table 2).
Table 2

ANOVA of scores on eight subscales of HrQoL for the employed and unemployed women at 6, 12 and 18 weeks using Tukey Test

HrQoL Subscale

 

Mean

Std. Error

Sum of Squares

F

Sig.

Univariate Tests Sig

Time

U

E

Physical functioning

6 wks

93.5

92.3

.950

2621.520

18.024

.000

.045

 

12 wks

98.2

96.0

.839

786.950

5.010

.001

 
 

18 wks

95.8

93.9

.937

974.729

5.811

.000

 

Physical role limitation

6 wks

80.6

75.2

.697

428.260

3.500

.009

.000

 

12 wks

93.1

90.2

.918

1001.184

6.571

.000

 
 

18 wks

88.3

51.2

1.186

5743.328

3.690

.006

 

Bodily pain

6 wks

81.5

80.1

1.287

512.099

1.238

.296

.000

 

12 wks

85.5

89.6

1.618

3925.263

7.689

.000

 
 

18 wks

84.5

51.0

1.085

4297.025

3.412

.010

 

General health

6 wks

91.6

86.7

.932

804.184

4.109

.003

.000

 

12 wks

94.3

89.4

.700

2445.029

26.413

.000

 
 

18 wks

89.3

85.3

1.228

9117.891

46.166

.000

 

Vitality

6 wks

82.4

83.1

1.496

1691.671

3.722

.006

.816

 

12 wks

93.2

88.9

1.123

7856.645

39.611

.000

 
 

18 wks

85.0

87.6

1.267

2483.240

8.569

.000

 

Social functioning

6 wks

84.5

84.8

1.301

1626.616

5.442

.000

.000

 

12 wks

88.4

86.8

1.339

4386.555

13.377

.000

 
 

18 wks

88.4

52.9

1.087

4063.882

2.839

.025

 

Emotional role limitation

6 wks

81.7

80.5

1.515

1423.269

3.274

.013

.223

 

12 wks

88.5

94.1

1.012

2421.128

11.992

.000

 
 

18 wks

93.9

81.9

.633

1847.427

9.648

.000

 

Mental health

6 wks

85.4

87.1

1.339

1949.560

6.054

.000

.590

 

12 wks

88.6

88.2

1.270

3247.683

11.030

.000

 
 

18 wks

87.0

87.5

1.260

1969.339

6.396

.000

 

NB: U Unemployed, E Employed

Degree of freedom for all subscales = 4

Result of multiple comparison of scores of the employed and unemployed women in different age groups using Tukey HSD Repeated Mean showed that the eight subscales of the HrQoL varied significantly. However, physical role limitation, bodily pain and social functioning were unequal guaranteeing type 1 error. Young women (aged 20–25 years), however, had the lowest scores on mental health (Table 3).
Table 3

Tukey HSD Repeated Mean comparison of the HrQoL subscales of the women based on their age groups

HrQoL subscale

Age

Sig

20–24 yrs. (75)

25-29 yrs. (64)

30-34 yrs. (37)

35-39 yrs. (21)

40-44 yrs. (11)

Time 1

Time 2

Time 3

Physical functioning

95.10

95.10

94.14

93.62

91.32

.182

.776

.094

Physical role limitation

82.02

80.45

80.18

77.40

70.23

1.000

.191

Bodily pain

79.99

79.53

78.18

78.13

74.38

.146

General health

91.57

90.94

89.40

85.18

80.74

1.000

1.000

.085

Vitality

90.06

89.01

87.14

86.01

82.93

.147

.165

.187

Social functioning

84.42

82.63

79.29

78.79

73.65

.086

.087

Emotional role limitation

88.96

86.86

86.43

84.07

81.47

.102

.066

.119

Mental health

90.69

89.76

89.14

84.77

83.78

.976

.068

.883

NB: Harmonic Mean Sample Size = 25.705

The mean scores of the employed and unemployed women in different age group categories when compared using ANOVA showed that the mean score differences in the eight subscales of the HrQoL within the population sampled were highly significant (p < 0.05) at 95% confidence interval. Table 4.
Table 4

ANOVA of respondents’ mean scores on eight subscales of HrQoL at 6, 12 and 18 weeks based on the women’s age groups

Age (years)

20–24

25–29

30–34

35–39

40–44

F

Sig

x (43)

Y 32)

x (34)

Y (30)

x (18)

y (19)

x (8)

y (13)

x (1)

y (10)

Physical functioning

71.1

72.7

78.2

73.2

85.6

73.1

100

91.0

82.0

86.6

7.809

.000

Physical role limitation

62.9

67.2

75.3

51.8

93.3

47.1

98.7

74.6

70.0

31.0

7.388

.000

Bodily pain

58.2

42.6

73.3

55.8

72.8

47.1

86.9

54.6

55.0

29.5

14.786

.000

General health

73.9

63.3

75.5

72.0

84.4

80.4

97.9

79.7

83.3

77.7

29.314

.000

Vitality

74.4

64.1

73.8

82.6

80.0

81.0

96.2

79.2

90.0

85.0

8.413

.000

Social functioning

53.7

48.4

76.7

57.0

73.3

53.6

100

62.3

80.0

23.0

7.969

.000

Emotional role limitation

68.8

61.7

74.5

69.3

93.3

67.5

91.7

76.9

80.0

81.3

14.347

.000

Mental health

68.2

65.9

74.8

87.5

70.0

85.8

98.1

85.8

90.0

85.5

4.699

.003

NB:x = Unemployed women; y = Employed women

Degree of freedom for all subscales = 3

Multiple comparisons of the mean scores of the employed and unemployed women in categories of educational groups using Tukey HSD Repeated Mean test (Table 5.) showed that the variance in the eight sub scales of the HrQoL were significant. The variations were less for vitality, social functioning and mental health but were unequal guaranteeing type 1 error.
Table 5

Tukey HSD Repeated Mean comparison of HrQoL subscales scores of the women based on their educational level

HrQoL subscales

No formal education (2)

Primary education (24)

Secondary education (113)

Higher education (69)

Sig (α = 0.05)

Time 1

Time 2

Time 3

Physical functioning

82.17

84.35

86.70

89.53

.134

Physical role limitation

82.67

81.71

82.03

78.96

.839

Bodily pain

74.67

76.88

80.54

76.49

.569

General health

88.50

89.86

90.83

87.09

.242

Vitality

86.83

80.31

87.13

88.34

.066

.947

Social functioning

82.83

91.22

95.49

94.13

1.000

.268

Emotional role limitation

88.17

85.63

88.03

85.11

.479

Mental health

90.00

86.83

81.24

75.66

.458

.099

NB: Harmonic Mean Sample Size = 7.080

The mean scores of the employed and unemployed women in different c educational levels when compared using ANOVA showed that the variance in the eight subscales of the HrQoL within the population sampled were highly significant (p < 0.05) at 95% confidence interval except for social functioning. Table 6.
Table 6

ANOVA of respondents’ mean of scores on eight subscales of HrQoL at 6, 12 and 18 weeks based on the women’s educational level

Educational level

Unemployed

 

Employed

F

Sig

N (2)

P (21)

S (65)

H (16)

N (0)

P (3)

S (48)

H (53)

Physical functioning

60.1

75.4

85.5

92.7

61.9

86.3

95.5

11.080

.000

Physical role limitation

48.7

65.0

75.0

94.1

55.5

62.0

93.3

18.260

.000

Bodily pain

51.5

58.3

70.0

83.7

58.4

55.7

88.3

3.796

.011

General health

66.2

60.1

78.3

71.9

65.1

65.7

88.9

14.329

.000

Vitality

61.2

49.0

75.0

94.6

75.6

66.8

90.0

14.772

.000

Social functioning

68.8

59.5

70.0

90.9

57.5

51.4

91.6

2.013

.113

Emotional role limitation

58.3

65.5

80.0

74.6

57.0

75.0

88.9

8.406

.000

Mental health

59.7

54.0

77.5

73.0

71.7

53.6

95.8

5.309

.002

NB: N No formal education, P Primary, S Secondary, H Higher

Std Dev = Standard Deviation; Degree of freedom for all subscales = 3

The mean scores of the employed and unemployed women in different categories of personal when compared using Tukey HSD Repeated Mean test (Table 7) showed that the eight subscales of the HrQoL had significant variation. Unequal variations were noted for physical functioning, bodily pain vitality and mental health guaranteeing type 1 error.
Table 7

Tukey HSD Repeated Mean comparison of HrQoL subscales scores of the women based on their personal income

HrQoL Subscales

<N18,000 (52)

N18,000-N50,000 (95)

N51,000-N100,000 (38)

>100,000 (23)

Sig (α = 0.05)

Time 1

Time 2

Time 3

Physical functioning

92.49

96.03

92.85

94.79

.101

.604

Physical role limitation

86.89

80.17

75.91

71.56

1.000

1.000

1.000

Bodily pain

81.16

79.44

75.70

75.15

.110

.801

General health

90.83

90.72

88.52

82.67

1.000

1.000

.999

Vitality

84.57

87.00

89.69

85.67

.191

.122

Social functioning

83.01

82.33

78.03

75.72

.578

.084

.981

Emotional role limitation

88.19

86.86

85.83

82.38

1.000

.629

.404

Mental health

84.20

87.74

88.56

90.63

.060

.172

Harmonic Mean Sample Size

40.18

    
The mean scores of the employed and unemployed women in different categories of personal income when compared using ANOVA showed that the variance in the eight subscales of the HrQoL within the population sampled were highly significant (p < 0.05) at 95% confidence interval. Table 8.
Table 8

ANOVA of respondents’ mean scores on the eight subscales of HrQoL at 6, 12 and 18 weeks based on the women’s personal income

Personal income (N)/month

<N18,000

N18,000 – N50,000

N51,000 -N100,000

>N100,000

F

Sig

x (48)

y (4)

x (48)

y (47)

x (6)

y (32)

x (2)

y (21)

Physical functioning

86.0

61.9

91

84.4

100

89.2

96.3

89.2

8.893

.000

Physical role limitation

67.5

54.7

80.0

44.4

100

60.8

92.5

60.8

38.275

.000

Bodily pain

82.5

60.2

66.7

40.9

88.7

66.2

91.2

66.2

4.607

.004

General health

81.7

78.3

83.3

83.3

95.2

83.3

94.1

83.3

42.578

.000

Vitality

60.0

69.5

83.3

82.2

97.5

85.7

72.0

85.7

6.850

.000

Social functioning

75.0

49.0

76.6

48.8

98.7

62.3

65.4

62.3

6.891

.000

Emotional role limitation

66.7

62.8

77.8

68.8

98.3

76.5

77.8

76.5

15.133

.000

Mental health

62.5

60.5

83.3

80.9

93.7

87.9

71.0

87.9

7.006

.000

NB:x = Unemployed women; y = Employed women; Std Dev. = Standard Deviation

Degree of freedom for all subscales = 3

Discussion

A major finding from this study was that quality-of-life of post-natal women was best at 12 weeks but dropped as they resumed work outside the home. This implies that newly delivered women had the best HrQoL within their maternity leave period. Women who return to work after 12 weeks maternity leave may find their job more challenging with additional task of baby care particularly women without significant social support for domestic tasks. This increased responsibility and workload will most likely affects their HrQoL trajectories negatively. This suggests the need for a domestic social support, longer period of maternity leave and reduced workload, particularly for the employed women.

Bodily pains and problems with physical health reported by the women 6 weeks after resumption of work were likely to negatively affect their job performance. Their social functions might also be compromised. The findings, thus, different from Greenberg’s [5]. Conflict between the women’s formal or informal jobs and domestic tasks may make routine tasks cumbersome to accomplish. Poor social functioning may lead to depression, withdrawal, loss of concentration and aggressive behaviours. Since increased task, and reduced physiological or psychological energy result in less activity tolerance, their productivity in workplace is also likely to reduce.

Increasing age coupled with increasing responsibility could reduce one’s HrQoL. Findings from this study indicated that with increasing age, the women, especially the employed, experienced more bodily pains, which may have affected their social functions and regular daily activities. This finding was consistent with those of Cohen [7]; Bolton [8], Bonsergent [9], and Al-Farsi [10]. The older women were likely to have a higher parity. This and similar social and cultural factors may mean increased responsibilities and increased demand for physical energy and social involvements. Unemployed and employed women aged 20–25 years had the lowest scores on mental health probably because being young the women are likely to be inexperienced mothers. Lack of experience can be a source of frustration and stress as the woman still undergoes some motherhood adaptation processes. It is not clear, however, why the unemployed women aged 25–35 years had poorer mental health than the employed women of the same age. Further studies are recommended for this.

The higher the women’s educational level, the higher their reported HrQoL irrespective of their employment status. Highly educated women have increased chance of getting well-paid job which in turn increases their affordability and accessibility to quality living conditions – this is probably independent of their current employment status. This was in agreement with earlier studies such as Ross et al. [12] and Meravitlles et al. [14]. However, unemployed women with tertiary education had reduced scores on the subscales of general health, emotional role limitation and mental health when compared with their counterparts. It is possible therefore that high educational attainment without attendant practice reduces ones emotional and mental health. If this is so, then, it will most likely be prominent among women who become housewives not by their own volition but as a result of some external factors such as spouse disapproval. Being a housewife but restricted from formal work despite educational attainment may, therefore, affect the woman’s psyche which may be manifested in poor physical and mental health.

HrQoL of the women increased with their personal income irrespective of time. High personal income increases access to comfort and enhances psycho-social wellbeing. This implies a better state of mind and body. Although more employed women (21) than the unemployed (2) that entered the study had monthly personal income above N100,000.00, it is significant to observe that women with higher personal income, whether unemployed or employed, had higher scores on the HrQoL scales. Studies such as Ross et al. [12] and Tucker [13] support this positive correlation of HrQoL with SES. The findings suggest SES as a measure of health and that employed women, particularly those with higher education that increases their chances of better placement on the job, had more satisfactory life. This is supported by Meravitlles et al. [14] and Tucker et al. [13]. With evidence from the findings, the ability to have reasonable access to income is essentially a means to an improved HrQoL.

A major strength of this study is its prospective design and multiple time evaluation of the women’s HrQol. which enabled the researchers to identify HrQol change overtime. As a limitation, the study was conducted in an urban area where most women had access to good quality living conditions. Rural dwellers live with higher level of poverty than urban dwellers. The findings therefore cannot be extended to employed and unemployed women in rural settings. The respondents were constrained by the scales; they did not have the opportunity to express other ideas outside of the items in the SF-36v2™. Further qualitative studies are indicated to elicit some socio-cultural factors and issues in postpartum HrQoL of Nigerian women.

Conclusion

The study revealed that newly delivered women’s HrQoL is at its peak at 12 weeks postpartum and starts to decline as they go back to their routine full time job, especially for the employed women who reported more problems with physical health components. Employed women are more negatively affected by increasing age except those with higher education and personal income.

It is recommended that the traditionally accepted paid maternity leave of 3 months should be elongated by extra months to help the woman balance her daily work with baby care demands while she maintains a good HrQoL. However, further research is required to determine the best duration for maternity leave. Also, paternity leave should be granted to fathers, on request, so that they will have time at home to assist their spouse as may be necessary. Gender sensitive employment opportunities should be created to empower more women economically. Programmes should be designed to ensure that these at risk groups, that is women of child bearing age, earn at least the national minimum wage of N18,000.00 to enhance their economic status.

Abbreviations

HrQoL: 

Health-related Quality of Life

LGA: 

Local Government Area

MCS: 

Mental Component Summary

PCS: 

Physical Component Summary

QoL: 

Quality of Life

SES: 

Socio-Economic Status

SF-36v2™: 

Short-Form 36-item Version 2 Health Survey Questionnaire

Declarations

Acknowledgements

We wish to thank all mothers who responded to our request to provide information for this study as well as their spouse who allowed us to visit their wife in their matrimonial home for second and third batches data collection. This enhanced complete data collection. We are also indebted to Prof. Obinna Onwujekwe of Faculty of Health Sciences and Technology, College of Medicine, University of Nigeria, Enugu Campus, for accepting to do contextual editing of the final draft of the work.

Funding

This study was not supported by any grant. The study design; data collection, analysis and interpretation of data; writing of the paper; and the decision to submit the paper for publication were, therefore, sole responsibility of the authors.

Availability of data and materials

All datasets that support the conclusions in this article are presented in the manuscript and additional files. However, to maintain confidentiality, all dataset relating to individual participants shall only be available on request and with approval of the participant [Additional file 3].

Authors’ contributions

AUC prepared the study protocol, designed the study, drafted the manuscript, researched data and carried out the statistical analysis; ILO supervised the statistical analysis, contributed to the discussion and editing of the manuscript; ANA co-supervised and contributed in the discussion and acquisition of the data; NPO contributed to the discussion, supervised the statistical analysis and editing of the manuscript; NEA participated in drafting the manuscript as well as in the discussion. CNI participated in the acquisition of the data and contributed in the discussion. All authors have critically reviewed the manuscript for important intellectual content and approved the final manuscript.

Ethics approval and consent to participate

Ethical approval was obtained from the Research Ethical Committee of University of Nigeria Teaching Hospital, Ituku-Ozalla (Ref. No. UNTH/CSA/329/VOL.5). Administrative permit was obtained from management of the hospital before prospective respondent was approached. All participants were fully informed of the objectives and design of the study and written consents were received from the participants. Also, because the data were to be collected in the woman’s matrimonial home in some situations, written consent of the spouse was collected on visit to their home as applicable.

Consent for publication

Not applicable.

Competing interests

This research work, or parts of it, has not been published elsewhere and it is not under consideration at any other journal. The authors declare that they have no competing interests with respect to the research, financial aid, authorship, and/or publication of this article.

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Authors’ Affiliations

(1)
University of Nigeria, Nsukka, Enugu State, Nigeria
(2)
Nnamdi Azikiwe University, Awka, Anambra State, Nigeria

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Copyright

© The Author(s). 2018

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