Logo-jcs
Journal of caring sciences. 10(2):96-102. doi: 10.34172/jcs.2021.018

Original Research

Association between Perceived Social Support and Health-Promoting lifestyle in Pregnant Women: A Cross-Sectional Study

Azita Fathnezhad-Kazemi 1, *ORCID logo, Armin Aslani 2ORCID logo, Sepideh Hajian 3ORCID logo
1Department of Midwifery, Islamic Azad University, Tabriz Branch, Tabriz, Iran
2Department of Medical Sciences, Student Research Committee, Islamic Azad University, Tabriz Branch, Tabriz, Iran
3Department of Midwifery & Reproductive Health, Faculty of Nursing & Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Corresponding Author: Sepideh Hajian, Email: Hajian74@yahoo.com

Abstract

Introduction: Adopting health-promoting lifestyle might be affected by a variety of factors. The existing evidence suggests that social support can improve health by fulfilling physical and mental needs. This study aimed to investigate the association between social support and health-promoting lifestyle in Pregnancy.

Methods: Using multistage cluster sampling method, this cross-sectional study was conducted on 360 pregnant women. Data were collected using three questionnaires, including a self-reported demographic and obstetric, health-promoting lifestyle profile and perceived social support questionnaires. Data were analyzed using a t-test, repeated measures ANOVA, and multivariate linear regression model with SPSS software ver. 21 with.

Results: The mean (SD) of health-promoting behaviors was 135.21(20.03). Amongst the different dimensions of health-promoting behaviors, the highest mean was detected in spiritual growth 26.84 (4.90) and nutrition 26.17 (4.22), respectively. Meanwhile, the lowest scores were detected in sub-domains of stress management 19.80 (3.78) and physical activity 16.71(4.14), respectively. The mean (SD) of perceived social support was 60.31 (14.75), and 51.7% of the participants had intermediate social support. Results indicated a significant difference between the mean score of Health-Promoting Lifestyle at different levels of social support. There was a direct and significant association between the scores of social support and health-promoting behavior (r=0.36; P<0.001).

Conclusion: Pregnant women with better perception of social support had a better performance in adopting health-promoting Lifestyle. However, the status of health behaviors and social support was not favorable. Thus, there is a need to intervene and design programs to help pregnant women and improve their health.

Keywords: Health-promotion, lifestyle, Social support, Pregnancy

Copyright

© 2021 The Author(s).
This work is published by Journal of Caring Sciences as an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.


Introduction

Adopting healthy behavior is the most important factor to achieve a favorable health status and to avoid developing chronic diseases.1-3 Pregnancy, as a natural and recurrent phenomenon, is one of the most critical stages of a woman’s life.4 New conditions resulting from mental and physical changes during the pregnancy may affect a woman’s lifestyle and behaviors.5,6 Researchers believe that lifestyle adopted during pregnancy has a long term effect on the health and life quality of both the mother and child, and even the whole family.7,8

Based on the reviewed studies, health-promoting behaviors, including healthy diet, sufficient sleep, physical activity, controlling weight gain, avoiding smoking and alcohol, and emotional management skills are amongst the best strategies to achieve a desirable health status and optimum pregnancy outcomes.9,10 According to the world health organization (WHO), health-promotion is defined as a process of enabling individuals to develop more control over their behaviors.2,8 As a result, a variety of factors might affect adopting and undertaking health promoting behaviors.9 In this regard, previous studies indicated that all individuals, as well as social, environmental, cultural, and political factors may play a crucial role.9,11 Recent research suggests that social support is helpful for health-promotion through behavioral and psychological ways.12,13 For instance, Berkman believed that encouragement to adopt healthy behavior, such as participating in screening programs and avoiding harmful actions, could result in health-promotion.14 In addition, social support may have positive effects on mental and physical health through its modulatory effects on stress which, in turn, will lead to health-promotion.15,16 Social support is a need to belong, to be respected, and to be valued; and it consists of emotional support, informational support, and belonging to social networks.17Despite the fact that there is not sufficient evidence on the effect of social support on reducing the adverse outcomes of pregnancy, some reports indicated that social support could have positive effects, including reduced smoking and improved health-promoting behaviors like improved prenatal care and satisfaction with it.14,15

In spite of published studies in Iran investigating the association between health improvement behaviors and social support in the elderly and women of reproductive age,18,19 few studies have investigated the pregnancy period. According to previous research, poor social support can increase the incidence of diseases. It seems that social support from social groups can increase the well-being, individual health and, as a result, health promotion. Due to the importance of both mother and child health, there is a critical need for understanding the factors affecting the health-promoting behaviors, which may lead to better programs and interventions for achieving a desirable quality of life during pregnancy. Accordingly, this study aimed to determine the association between perceived social support and health-promoting lifestyle in pregnant women.


Materials and Methods

Using a multistage cluster sampling method, this cross-sectional study was conducted on 360 pregnant women during the first six months of 2017 in Tabriz, Iran. The inclusion criteria included being Iranian, residency in Tabriz, singleton pregnancy, ability to read and write in Persian, age range of 18-40 years, no experience of severe psychological crises over the past six months (as declared by the participants), no known medical disorders or problems, and obstetric-related risk factors during and before pregnancy based on medical files approved by the physician or midwife at the center. The exclusion criteria were lack of willingness to participate in the study and incomplete questionnaires.

The sample size was once calculated as 180 based on the study conducted by Stark & Brinkley20 on the standard deviation of sub-domains of health-promoting lifestyle (M = 1.67, SD = 0.54, d = 0.05, α = 0.05 and power = 0.8) and recalculated as 72 based on the study conducted by Sharifi et al.,17 on perceived social support (M=61.46, SD=13.26, d=0.05, α=0.05 and power=0.8). As the sample size based on health-promotion behaviors was greater, this was the sample size sought. Regarding cluster sampling and design effect of 2, the final sample size was considered to be 360 pregnant women.

After the approvals were obtained from the authorities of the healthcare centers, the sampling was done through multi-stage cluster sampling. The first 6 clusters were selected randomaly from 12 clusters existing in the city (87 healthcare centers). Next, 36 healthcare centers were selected, using the Randomizer software. Then, the list of all eligible pregnant women covered by each center was extracted based on demographic characteristics. The inclusion criteria included singleton pregnancy, Maternal age range between 18-40 years, and no known medical disorders. Moreover, the names of the people were put in columns with numbers, and randomly selected with the Randomizer software. Those pregnant women who volunteered to enter the study were invited and the possible lack of meeting the other inclusion criteria for entering the study led to the replacement of the participant with an individual randomly chosen from the list. The sampling continued until reaching the estimated sample size.

The socio-demographic and pregnancy history questionnaire, consisting of the demographic variables of pregnant women such as age, educational level, occupational status of pregnant women and their spouses, self-assessment of household economic status, as well as obstetric variables, including the first day of the last menstruation, gestational age based on the first trimester ultrasound, and the number of pregnancies and childbirths.

The health-promoting lifestyle profile-II questionnaire, consisting of 52 items assessing six dimensions of interpersonal support (nine items), health responsibility (nine items), Physical activity (eight items), nutrition (nine items), stress management (eight items), and spiritual (nine items). All the items are scored based on a four-point Likert scale scores ranged from 1 for never to 4 for always. The total score for these behaviors is within the range of 52-208.21 The Persian version of this tool has been evaluated in previous studies in terms of validity and reliability, and the Cronbach’s alpha coefficient was 0.86 for the HPLP II and for the subscales ranged from 0.70 to 0.77.18 In addition, the questionnaire has had sufficient reliability in the other study (0.89).22

The multiple scale of perceived social support questionnaire, which is a social support questionnaire designed by Zimet et al., encompassing 12 items scored based on a Likert scale. This questionnaire evaluates three domains of perceived support from specific people (four items), perceived support from family members and acquaintances (four items), as well as perceived support from friends (four items). The items are scored based on a seven-point (1 to 7) Likert scale from “completely disagree” to “completely agree”, in which the minimum and maximum scores are 12 and 84, respectively.19 The total scores of answering the questions fall in three categories: Low (scores 12-48), Moderate (scores 49-68), and High (scores 69-84) social supports.23 This instrument has also been validated by Bagherian-Sararoudi et al., in Iran, for which the Cronbach’s alpha coefficient was 0.92 for the scale, and 0.89, 0.92, and 0.87 for friends, specific people, and family subscales, respectively.24

The reliability of the questionnaire was determined by conducting a pilot study on 20 pregnant women. For perceived social supportICC (confidence interval) was 0.94 (0.89 to 0.97) and Cronbach’s alpha coefficient of 0.94, and for health-promoting ICC (confidence interval) was 0.93 (0.88 to 0.97) with Cronbach’s alpha coefficient of 0.95.

Data analysis was performed in SPSS software ver. 21) SPSS Inc., Chicago, IL, USA) using descriptive statistics to adjust the frequency tables and determine the central indexes, as well as the distribution of study variables to describe the features of the research units, health-promoting behaviors, social support, and nutritional behaviors. The t-test and ANOVA tests were used to determine the relationship between socio-demographic characteristics with score of health promotion behavior. Moreover, the one-way ANOVA was employed to test the differences among health-promoting lifestyles and perceived social support. The Bonferroni method was used for post-hoc comparisons, whereas the Pearson’s correlation coefficient was used to investigate the association between health-promoting behaviors and perceived social support. Then, independent variables with P <0.2 on bivariate tests were inserted into the multivariate linear regression model. The normality of quantitative data was measured based on kurtosis and skewness, all of which were normal. All statistical tests were two-sided, using a significance level of P<0.05.


Results

In this study, 17 women were excluded due to their unwillingness to participate in the study; however, the sampling was continued until the sample size reached 360.

Table 1. Socio-demographic and obstetric characteristics,and their relationship with health-promoting lifestyle in pregnant women
Variable N (%) P value
Maternal age (year)
0.559a
18-25104(28.9)
26-30235(65.3)
31 and above21(5.8)
Maternal educational level
0.663a
Primary&secondary school134(37.23)
High school129(35.83)
University97(26.94)
Maternal occupational status
0.392b
Housekeeper326(90.6)
Employment34(9.4)
Educational level of spouse
0.035 a*
Primary & secondary school153(42.5)
Diploma124(34.4)
University83(23.1)
Occupational status of spouse
0.007a*
Unemployed9(2.5)
Employed64(17.8)
Self-employed287(79.8)
Self-assessment of health status
0.359a
Excellent45(12.5)
Good179(49.7)
Middle122(33.9)
Weak14(3.9)
Get support from

0.303a
Mother43(11.8)
Father19(5.3)
Mother and father73(20.3)
Husband217(60.3)
Friends4(1.1)
Others4(1.1)
Income level
0.001a*
Less than sufficient105(29.2)
Sufficient253(70.3)
More than sufficient (ability to save money)2(0.6)
Family size
0.234a
2164(45.6)
3143(39.7)
4 and above53(14.7)
Gestational age
0.765a
Under 14 weeks66(18.3)
15-28179(49.7)
29 and above115(32)
Number of pregnancies
0.048a*
1171(47.5)
2130(36.1)
3 and above 59(16.5)

a ANOVA test; bt-test;*statistically significant

Data analysis indicated that the mean (SD) age of mothers was 27.49 (4.9) with range of 18-39 years old mostly between 25 to 35 years old. Furthermore, 90% of the participants had a high school or lower degrees and were housewives. Out of 360 participants, 121 were having their first pregnancy, 130 were having their second pregnancy, and the rest were experiencing their third to sixth pregnancies. The mean (SD) number of pregnancies was 1.74 (0.88) and range of 1 to 6 pregnancies. The mean (SD) gestational age at the time of participation was 24.01 (8.7) and domain of 10th to 40th week of pregnancy (Table 1).

Table 2. Score of total and sub-scales of health-promoting lifestyle profile (HPLP)
VariableMean(SD)Min- Max
Interpersonal relationship23.20 (4.01 )8-32
Health responsibility22.49 (4.55)11-32
Physical activity16.71 (4.14)8-31
Spiritual growth26.84 (4.90)9-36
Nutrition26.17 (4.22)14-36
Stress management19.80 (3.78)10-31
Total score of HPLP-II135.21 (20.03) 71-187

Data analysis indicated that the mean (SD) score of health-promoting lifestyle in pregnant women was 135.21(20.03) with the range of 71-187. According to our data, the maximum and minimum scores were obtained by spiritual growth 26.84(4.90) and physical activity 16.71 (40.14), respectively. In addition, the mean (SD) score of health responsibility was 22.49(4.55) (Table 2).

The social support data analysis yielded an overall mean (SD) score of 60.31(14.75) with the maximum score of 21.92(5.82) obtained by familial support and the minimum score of 16.71(6.19) obtained by friend support. In addition, the results suggested that most of the participants (51.4%) perceived an intermediate level of social support (Table 3).

Table 3. Score of total and sub-scales of social support
Variable N (%)
Social support from specific people21.64(5.89)
Family21.92(5.82)
Friend16.71(6.19)
Total score of social support60.31(14.75)
Level of social support
Low social support63(17.5)
Moderate social support185(51.4)
High social support112(31.1)

Mean (SD)

The results of ANOVA test suggested a difference between the mean total score and subscale of health promoting behaviors at different levels of social support, in which case, upon increasing social support, there will be an increase in the total score of health promoting behaviors, as well as the score of its other subscale (Table 4).

Table 4. The association between level of social support and health-promoting lifestyle and it subscales in pregnant women
Variable Low social support
N=63
Moderate social support
N=185
High social support
N=112
ANOVA Post hoc *
Mean (SD) Mean (SD) Mean (SD) F P value Multiple comparisons
HPLP (total)124.84 (19.88)132.63 (17.46)145.24 (19.67)27.83<0.001Low<moderate<High
Nutrition25.14 (4.35)25.58 (4.18)27.71 (3.80)12.08<0.001Low, moderate < High
Physical activity15.92 (4.08)16.19 (3.97)18.01(4.19)8.59<0.001 Low, moderate < High
Health responsibility21.07 (4.10)22.15 (4.49)23.84 (4.59)8.92<0.001Low, moderate < High
Stress management17.60 (3.41)19.66 (3.48)21.27 (3.83)22.07<0.001Low<moderate<High
Interpersonal relationship21.38 (4.22)22.57 (3.50)25.25 (3.85)27.20<0.001Low, moderate < High
Spiritual growth23.71 (4.81)26.52 (4.25)29.12 (4.84)29.39<0.001Low<moderate<High

*Statistically significant (P < 0.001) after bonferroni correction for post-hoc analysis

Pearson’s correlation coefficient showed a significant (P<0.001) direct, but powerless and week correlation between the total score of perceived social support and total score of health-promoting lifestyle profile and its sub-scales (Table 5).

Table 5. Correlation coefficients between social support with health-promoting lifestyle profile (HPLP) and sub-scales
Variable Social support Friend support Family support Support from specific person
HPLP-II r P value r P value r P value r P value
Nutrition0.21<0.001*0.26<0.001*0.35<0.001*0.27<0.001*
Health responsibility0.23<0.001*0.17<0.001*0.21<0.001*0.110.03*
Stress management0.35<0.001*0.20<0.001*0.22<0.001*0.120.021*
Interpersonal relationship0.35<0.001*0.23<0.001*0.33<0.001*029<0.001*
Spiritual growth0.38<0.001*0.26<0.001*0.32<0.001*0.25<0.001*
Physical activity0.21<0.001*0.18<0.001*0.37<0.001*0.38<0.001*
HPLP-II0.36<0.001*0.20<0.001*0.24<0.001*0.100.05

* Statistically significant

There was a significant relationship between the score of health-promotion lifestyle profile with the number of pregnancies, spouse’s education, spouse’s occupation, and income. These variables and the score of perceived social support were entered into the multivariate linear regression model with backward strategy. First, the binary linear regression analyses were used in investigating the association between social support and health-promotion lifestyle profile. The results of the linear regression analysis (unadjusted) revealed that social support predicted the health-promotion lifestyle by 13.4% (RR = 0.36, 95% CI: 0.37-0.64). After adjusting the results for other variables, we found that the income level and social support remained in the model and could predict 14.6% of the variance in the score of health-promotion lifestyle (Adjusted R2=14.6%) (Table 6).

Table 6. Multivariable linear regression analysis for factors association with health-promoting lifestyle profile (HPLP)
Variable health-promotion lifestyle profile
B unadjusted B adjusted CI95% a P value
Number of pregnancies0.210.01(-1.99 to 2.49)0.82
Spouse’s education (diploma) ----
Primary & secondary school2.740.06(-1.84 to 7.32)0.23
University3.080.06(-2.55 to 8.72)0.28
Spouse’s occupation(self-employed) ----
Employed-1.60-0.12(-16.38 to 13.18)0.83
Unemployed-3.15-0.06(-9.28 to 2.98)0.31
Income(sufficient and more ) ----
Less than sufficient-4.61- 0.11(-0.10 to -9)0.04*
Social support0.490.35(0.36 to 0.63)<0.001*

aUnadjusted confidence interval 95%, *statistically significant


Discussion

The current study investigated the association between perceived social support and health-promoting lifestyle in pregnant women. The results showed that pregnant women obtained moderate scores in both main variables of the study. So that, the average score of total health-promoting lifestyle was 135, which is considered a moderate score. The results of this study are comparable with those of other studies in the field.22,25 The bulk of research in this area reported pregnant women all over the world receiving intermediate to low scores in health-promoting lifestyle, except for two studies in which pregnant women were reported to have received intermediate to high scores.26,27 These differences could have resulted from different factors, including social and cultural factors, especially demographic and individual differences of the study samples. For instance, the high scoring samples were the women at their second semester of pregnancy; according to the existing research, at this gestational age, woman are in more stable conditions than the first and third semester.

According to the scores obtained in various dimensions of the health-promotion lifestyle, the highest to lowest scores were dimensions of spiritual growth, nutrition, health responsibility, stress management, and physical activity. Based on several Iranian studies, the highest scores were gained by spiritual growth and nutrition dimension of health-promoting lifestyle profile (HPLP).28,29 The highest score was gained by the nutrition dimension only in women with preeclampsia.8 In addition, pregnant women obtained low scores in physical activity and moderate scores in social support.16,30 However, pregnant women in other countries had high scores in spiritual growth, social support, and responsibility, moderate scores in the nutrition aspect, and low scores in stress management and physical activity. They also had better scores than the women participating in the current study in social support dimension of the health-promoting lifstyle.22,31,32 Apparently, these differences are due to inter-personal differences like age, education level, occupation, income, social factors, as well as psychological factors like self-efficacy. Glazier et al., have investigated the association between social support and mental health; and their findings show that social support has a positive effect on emotional health.16

Another finding of the current study was that over half of the participants had a moderate score in social support scale, and that most support came from family and other relatives. This finding was consistent with that of Sharifi et al., who reported a mean perceived social support score of 61.43.17 Jamshidimanesh et al., reported a total score of 60.55 for perceived social support. In addition, the pregnant women participating in that study were found to have more family support than their friends, which is in agreement with the findings of the current study.33 Interestingly, women with higher score of perceived social support had scored the highest in health-promoting lifestyle, in such a way that with an increase in perceived social support score, the score of health-promoting lifestyle increased as well. In this study, the social support score was significantly correlated with health-promoting lifestyle and its sub-domains, which are in accordance with several other studies, so that, based on the reviewed studies, individuals with better social support have a higher quality of life, health, and wellbeing.34,35,36 Lack of social support is considered as an important risk factor threatening the maternal health during pregnancy, and it can have adverse effects on pregnancy outcomes.16,30 Recent studies have reported a significant correlation between social support and adopted lifestyle.37,38 Chen et al., reported social support as a predictive factor for all dimensions of health-promoting lifestyle besides physical activity. Based on their study, 25% of overall variation of adopted health-promoting lifestyle is defined by depression and social support.38 Jung & Chun reported a significant correlation between all aspects by investigating the association between social support 12 and health-promoting lifestyle, which was in agreement with other studies.36,39,40

According to the results of recent qualitative study, the barriers to adopting a healthy lifestyle behaviors included the lack of support from the healthcare providers and the family, the existence of family problems (especially with the spouse), and the manner of dealing with poor healthcare providers. They also mentioned family and social support, with an emphasis on supporting healthcare providers and the existence of a motivating environment, including appropriate training and adequate time spent by caregivers, as socio-environmental facilitators of the adopting health promotion behaviors.9 Thus, it seems that healthcare providers can effectively communicate and educate the families of pregnant women, especially by encouraging the spouses to provide emotional and instrumental support.

Studying lifestyles in pregnancy is necessary because of its positive effects on pregnancy and neonatal outcomes. The main limitation of this study was its cross-sectional design, which restricted confirming the existence of a cause-and-effect association. Using self-reports was another limitation of this study.


Conclusion

The results of current study demonstrated that pregnant women are at moderate status of adopting health promoting behaviors and social support. In addition, women with better perception of social support had better performance in adopting health promoting behaviors. Although social support only explains a small fraction of such behaviors, it could be an effective factor. Accordingly, to promote-health of these vulnerable people, designing, executing, and evaluating interventions by politicians and specialists at individual and familial levels seems essential. Studying other effective factors, especially social and cultural factors is recommended. We also recommend further studies on other areas, including the health requirements of pregnant women and other community members, especially women with pregnancy complications, who should be compared according to their different cultural and environmental situations. It would be best if cohort studies could review the status of health-promotion and social support in the first, second, and third trimesters and compare their outcomes. In addition, quantitative and qualitative studies are required to identify the effective factors, existing barriers, and facilitators of the social support in pregnant women.


Acknowledgments

We thank all participants who participated in this study. We also appreciate the Shahid Beheshti University of Medical Sciences, Iran for funding the study.


Ethical Issues

This article was derived from a doctoral dissertation on reproductive health with mixed methods approach which approved by the research committee of Shahid Beheshti University of Medical Sciences (code no SBMU. REC. 1394.112 dated September 7, 2015). Written informed consent was obtained all the participants.


Conflict of Interest

The authors declare no conflict of interests in this study.


Author’s Contributions

AFK: contributed to developing the concept, collected data, analyzed data, and wrote the draft and final article; SH: contributed to the analysis, and reviewed the draft and the final article; AA: contributed to data collection and manuscript writing; All authors read and approved the final manuscript.


Research Highlights

What is the current knowledge?

Pregnancy leads to change the women’s lifestyle; therefore, their health- promotion lifestyle should be improved to avoid problems during this critical period, which requires knowledge of the factors affecting these behaviors. Social support can improve the ability to cope with stressful events. So, it can affect health behaviors.

What is new here?

Pregnant women with a better perception of social support had a better performance in adopting health promoting behaviors. Unfortunately, the status of health behaviors and social support in pregnant women is not favorable. Thus, there is a need to design programs to help pregnant women and improve their health.


References

  1. Kazemi AF, Hajian S. Experiences related to health promotion behaviors in overweight pregnant women: a qualitative study. Reprod Health 2018; 15(1):219. doi: 10.1186/s12978-018-0660-y [Crossref]
  2. Kazemi AF, Hajian S, Ebrahimi Mameghani M, Khob MK. The perspectives of pregnant women on health-promoting behaviors: an integrative systematic review. Int J Fertil Womens Med 2018; 6(2):97-105. doi: 10.15296/ijwhr.2018.17 [Crossref]
  3. Norouzinia R, Aghabarari M, Kohan M, Karimi M. Health promotion behaviors and its correlation with anxiety and some students’ demographic factors of Alborz University of Medical Sciences. Journal of Health Promotion Management 2013; 2(4):39-49.
  4. Walker R, Mazza D, Blumfield M, Bennett C, Truby H. Maternal gestational weight gain during pregnancy: prioritising the conversation. Aust J Prim Health 2018; 24(1):4-8. doi: 10.1071/PY17111 [Crossref]
  5. Bahabadi FJ, Estebsari F, Rohani C, Kandi ZR, Sefidkar R, Mostafaei D. Predictors of health-promoting lifestyle in pregnant women based on Pender’s health promotion model. Int J Womens Health 2020; 12(1):71-7. doi: 10.2147/IJWH.S235169 [Crossref]
  6. Moshki M, Bahri N, Sadegh Moghadam L. Lifestyle of pregnant women living in Gonabad (Iran). Journal of Research & Health 2012; 2(2):200-6.
  7. Kazemi AF, Hajian S, Ebrahimi Mameghani M, KhabazKhob M. A review of various aspects of health promotion behavior during pregnancy. Tehran University Medical Journal (TUMS) 2019; 76(10):647-53.
  8. Malakouti J, Sehhati F, Mirghafourvand M, Nahangi R. Relationship between health promoting lifestyle and perceived stress in pregnant women with preeclampsia. J Caring Sci 2015; 4(2):155-63. doi: 10.15171/jcs.2015.016 [Crossref]
  9. Kazemi AF, Hajian S. Factors influencing the adoption of health promoting behaviors in overweight pregnant women: a qualitative study. BMC pregnancy and childbirth 2019; 19(1):43. doi: 10.1186/s12884-019-2199-5 [Crossref]
  10. Motahari Tabari NS, Faramarzi M, Ahmad Shirvani M, Bakhtiari A, Omidvar S, Bakouei F. Effect of counseling based on information-behavioral motivation model on health promoting lifestyle behaviors and psychological well-being in obese and overweight pregnant women: a randomized clinical trial. Journal of Mazandaran University of Medical Sciences 2019; 29(177):99-110.
  11. Edvardsson K, Ivarsson A, Eurenius E, Garvare R, Nyström ME, Small R. Giving offspring a healthy start: parents’ experiences of health promotion and lifestyle change during pregnancy and early parenthood. BMC Public Health 2011; 11(1):936. doi: 10.1186/1471-2458-11-936 [Crossref]
  12. Jung KH, Chun N. Influence of stress, social support and lifestyle on health-related quality of life in middle aged women. Journal of Korean Biological Nursing Science 2019; 21(1):62-9. doi: 10.7586/jkbns.2019.21.1.62 [Crossref]
  13. Antezana G, Venning A, Blake V, Smith D, Winsall M, Orlowski S, Bidargaddi N. An evaluation of behaviour change techniques in health and lifestyle mobile applications. Health Informatics J 2020; 26(1):104-113. doi: 10.1177/1460458218813726 [Crossref]
  14. Berkman LF. The role of social relations in health promotion. Psychosom Med 1995; 57(3):245-54. doi: 10.1097/00006842-199505000-00006 [Crossref]
  15. Elsenbruch S, Benson S, Rücke M, Rose M, Dudenhausen J, Pincus Knackstedt MK. Social support during pregnancy: effects on maternal depressive symptoms, smoking and pregnancy outcome. Hum Reprod 2006; 22(3):869-77. doi: 10.1093/humrep/del432 [Crossref]
  16. Glazier R, Elgar F, Goel V, Holzapfel S. Stress, social support, and emotional distress in a community sample of pregnant women. J Psychosom Obstet Gynaecol 2004; 25(3-4):247-55. doi: 10.1080/01674820400024406 [Crossref]
  17. Sharifi N, Dolatian M, Mahmoodi Z, Abadi FMN, Mehrabi Y. The relationship between social support and food insecurity in pregnant women: a cross-sectional study. J Clin Diagn Res 2017; 11(11):1-6. doi: 10.7860/JCDR/2017/29987.10858 [Crossref]
  18. Baheiraei A, Mirghafourvand M, Mohammadi E, Mohammad-Alizadeh Charandabi S. The experiences of women of reproductive age regarding health-promoting behaviours: a qualitative study. BMC Public Health 2012; 12(1):1. doi: 10.1186/1471-2458-12-573 [Crossref]
  19. Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA. Psychometric characteristics of the Multidimensional Scale of Perceived Social Support. J Pers Assess 1990; 55(3-4):610-7. doi: 10.1080/00223891.1990.9674095 [Crossref]
  20. Stark MA, Brinkley RL. The relationship between perceived stress and health-promoting behaviors in high-risk pregnancy. J Perinat Neonatal Nurs 2007; 21(4):307-14. doi: 10.1097/01.JPN.0000299788.01420.6e [Crossref]
  21. Walker SN, Sechrist KR, Pender NJ. The health-promoting lifestyle profile: development and psychometric characteristics. Nurs Res 1987; 36(2):76-81.
  22. Gokyildiz S, Alan S, Elmas E, Bostanci A, Kucuk E. Health-promoting lifestyle behaviours in pregnant women in Turkey. Int J Nurs Pract 2014; 20(4):390-7. doi: 10.1111/ijn.12187 [Crossref]
  23. Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess 1988; 52(1):30-41. doi: 10.1207/s15327752jpa5201_2 [Crossref]
  24. Bagherian Sararoudi R, Hajian A, Ehsan HB, Sarafraz MR, Zimet GD. Psychometric properties of the persian version of the multidimensional scale of perceived social support in Iran. Int J Prev Med 2013; 4(11):1277-81.
  25. Gharaibeh M, Al Ma’aitah R, Al Jada N. Lifestyle practices of Jordanian pregnant women. Int Nurs Rev 2005; 52(2):92-100. doi: 10.1111/j.1466-7657.2005.00257.x [Crossref]
  26. Onat G, Aba YA. Health-promoting lifestyles and related factors among pregnant women. Turkish Journal of Public Health 2014; 12(2):69. doi: 10.20518/thsd.69694 [Crossref]
  27. Thaewpia S, Howland LC, Clark MJ, James KS. Relationships among health promoting behaviors and maternal and infant birth outcomes in older pregnant Thais. Pacific Rim Int J Nurs Res 2013; 17(1):28-38.
  28. Mahmoodi H, Asghari-Jafarabadi M, Babazadeh T, Mohammadi Y, Shirzadi S, Sharifi-Saqezi P. Health promoting behaviors in pregnant women admitted to the prenatal care unit of Imam Khomeini Hospital of Saqqez. Journal of Education and Community Health 2015; 1(4):58-65.
  29. Yadollahi P, Davazdahemami S, Bromandfar K, Fathizadeh N. The relationship between life style and individual reproductively characteristics of pregnant woman. Iran J Nurs Midwifery Re 2007; 12(3):75-79.
  30. Fleuriet KJ, Sunil TS. Perceived social stress, pregnancy-related anxiety, depression and subjective social status among pregnant Mexican and Mexican American women in south Texas. J Health Care Poor Underserved 2014; 25(2):546-61. doi: 10.1353/hpu.2014.0092 [Crossref]
  31. Kavlak O, Atan SU, Sirin A, Sen E, Guneri SE, Dag HY. Pregnant Turkish women with low income: their anxiety, health-promoting lifestyles, and related factors. Int J Nurs Pract 2013; 19(5):507-15. doi: 10.1111/ijn.12093 [Crossref]
  32. Lin YH, Tsai EM, Chan TF, Chou FH, Lin YL. Health promoting lifestyles and related factors in pregnant women. Chang Gung Med J 2009; 32(6):650-61.
  33. Jamshidimanesh M, Astaraki L, Behboodi Moghadam Z, Taghizadeh Z, Haghani H. Maternal-fetal attachment and its associated factors. Hayat 2013; 18(5):33-45.
  34. Alizadeh T, Keshavarz Z, Mirghafourvand M, Zayeri F. Investigation of health promoting lifestyle and social support and their correlation among Iranian women with multiple sclerosis. Int J Women’s Health Reprod Sci 2018; 6(2):167-73. doi: 10.15296/ijwhr.2018.28 [Crossref]
  35. Zhang B, Conner KO, Meng H, Tu N, Liu D, Chen Y. Social support and quality of life among rural family caregivers of persons with severe mental illness in Sichuan Province, China: mediating roles of care burden and loneliness. Quality of Life Research 2021. 10.1007/s11136-021-02793-6
  36. Zhu Z, Zhu D, Jiang Y, Lin Y, Yang Y, Luan W. Cross-sectional study on the SF-36, the general self-efficacy, the social support, and the health promoting lifestyle of the young elderly in a community in Shanghai, China. Annals of Palliative Medicine 2021; 10(1):518-29. doi: 10.21037/apm-20-2462 [Crossref]
  37. Cho JH, Jae SY, Choo IH, Choo J. Health-promoting behaviour among women with abdominal obesity: a conceptual link to social support and perceived stress. J Adv Nurs 2014; 70(6):1381-90. doi: 10.1111/jan.12300 [Crossref]
  38. Chen CM, Kuo SF, Chou YH, Chen HC. Postpartum Taiwanese women: their postpartum depression, social support and health promoting lifestyle profiles. J Clin Nurs 2007; 16(8):1550-60. doi: 10.1111/j.1365-2702.2006.01837.x [Crossref]
  39. Baheiraei A, Mirghafourvand M, Mohammadi E, Nedjat S, Mohammad-Alizadeh Charandabi S, Rajabi F. Health-promoting behaviors and social support of women of reproductive age, and strategies for advancing their health: Protocol for a mixed methods study. BMC Public Health 2011; 11(1):191. doi: 10.1186/1471-2458-11-191 [Crossref]
  40. Bahabadi FJ, Estebsari F, Rohani C, Kandi ZR, Sefidkar R, Mostafaei D. Predictors of health-promoting lifestyle in pregnant women based on Pender’s health promotion model. International journal of women’s health 2020; 12:71.
Submitted: 18 May 2019
Revised: 29 Jan 2020
Accepted: 22 May 2021
First published online: 23 May 2021
EndNote EndNote

(Enw Format - Win & Mac)

BibTeX BibTeX

(Bib Format - Win & Mac)

Bookends Bookends

(Ris Format - Mac only)

EasyBib EasyBib

(Ris Format - Win & Mac)

Medlars Medlars

(Txt Format - Win & Mac)

Mendeley Web Mendeley Web
Mendeley Mendeley

(Ris Format - Win & Mac)

Papers Papers

(Ris Format - Win & Mac)

ProCite ProCite

(Ris Format - Win & Mac)

Reference Manager Reference Manager

(Ris Format - Win only)

Refworks Refworks

(Refworks Format - Win & Mac)

Zotero Zotero

(Ris Format - FireFox Plugin)

Abstract View: 984
PDF Download: 832
Full Text View: 365