Journal List > J Korean Acad Community Health Nurs > v.28(1) > 1058486

Hwang, Kim, and Kim: Women’s Health Status Working at Traditional Marketplaces and Their Needs for Public Health Care Services

Abstract

Purpose

The purpose of this study is to analyze health status of women working in traditional marketplace and their needs for public healthcare services.

Methods

A descriptive survey of 500 women working at three traditional marketplaces was conducted.

Results

street vendors’ health status were much poorer than store merchants’. Furthermore, psychosocial factors like job stress and depression were increased in street venders. Thus, the public healthcare programs required by them included exercise programs (28.2%) and health checkup (26.8%). In addition, 31.2% of the participants reported that they needed visiting nursing care services. The rate of occupational health and safety or employment insurances was as low as 10.8%.

Conclusion

Effective interventions including psychosocial factors for women workers at traditional marketplaces need to be developed based on these results. Also, it is recommended that public health care services such as outreach services and visiting nursing care services for women working at traditional marketplaces be provided. Furthermore, institutional provisions such as insurances for protecting these vulnerable groups’ health are needed.

References

1. Statistics Korea. 2015 economically active population survey [Internet]. Seoul: Statistics Korea;2016. [cited 2016 May 02]. Available from:. http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1496.
2. Yi KH. A study on characteristics of labor force participation rate and work environment of female workers. Journal of the Korean Society of Safety. 2013; 28(5):78–82.
crossref
3. Ministry of Employment and Labor. 2016 industrial accident analysis [Internet]. Seoul: Ministry of Employment and Labor;2016. [cited 2016 May 02]. Available from:. https://www.moel.go.kr/view.jsp?cate=3&sec=3&sme-nu=4&mode=view&state=A&bbs_cd=106&idx=1449549370858&seq=1449549370858.
4. Kim HG, Nam HK, Yi YJ. A study on health behaviors by a risk level of metabolic syndrome among petty merchants in traditional markets. Korean Journal of Occupational Health Nursing. 2011; 20(3):328–336.
crossref
5. Kim JA, Park JH, Hwang WJ. Heavy metal distribution in street dust from traditional markets and the human health implications. International Journal of Environmental Research and Public Health. 2016; 13(8):820. http://dx.doi.org/10.3390/ijerph13080820.
crossref
6. Na JY, Kim JS, Cho SY, Gu GH, Jeon SJ, Jeong OH, et al. The effect of metabolic syndrome management program applying participatory action-oriented training (PAOT) principle for workers at traditional marketplace. 53th Autumn Conference of The Korean Society of Occupational and Environment. 2014. Nov 6-8; The-K hotel. Gyeongju: Korean Society of Occupational and Environment; 2014 Nov. 177–178.
7. Kim HG, Lee RS, Hwang WJ. Intervention model development of health promotion for women workers in traditional marketplaces: using community based participatory action research. Korean Journal of Occupational Health Nursing. 2015; 24(4):381–391.
crossref
8. Kim YK. A study on management measures of street vendors in the vicinity of traditional markets. Journal of Distribution Research. 2010; 15(5):155–174.
9. IPAQ Research Committee. 2005 Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ) [Internet]. Copenhagen: World Health Organization;2016. [cited 2016 May 02]. Available from:. http://www.ipaq.ki.se.
10. Oh JY, Yang YJ, Kim BS, Kang JH. Validity and reliability of Korean version of international physical activity questionnaire (IPAQ) short form. Journal of the Korean Academy of Family Medicine. 2007; 28(7):532–541.
11. White JV, Ham R, Lipschitz D, Dwyer J, Wellman N. Consensus of the nutrition screening initiative: Risk factors and indicators of poor nutritional status in older Americans. Journal of the American Dietetic Association. 1991; 91(7):783–787.
crossref
12. Jung YM, Kim JH. Comparison of cognitive levels, nutritional status, depression in the elderly according to living situations. Journal of Korean Academy of Nursing. 2004; 34(3):495–503.
crossref
13. Radloff LS. The CES-D scale a self-report depression scale for research in the general population. Applied psychological measurement. 1977; 1(3):385–401.
14. Cho MJ, Kim KH. Diagnostic validity of the CES-D (Korean version) in the assessment of DSM-III-R major depression. Journal of Korean Neuropsychiatric Association. 1993; 32(3):381–399.
15. Siegrist J, Starke D, Chandola T, Godin I, Marmot M, Nied-hammer I, et al. The measurement of effort-reward imbalance at work: European comparisons. Social Science & Medicine. 2004; 58(8):1483–1499.
crossref
16. Eum KD, Li J, Lee HE, Kim SS, Paek D, Siegrist J, et al. Psychometric properties of the Korean version of the effort-reward imbalance questionnaire: A study in a petrochemical company. International Archives of Occupational Environmental Health. 2007; 80(8):653–661.
crossref
17. Huskisson E. Measurement of pain. The Lancet. 1974; 304(7889):1127–1131. http://dx.doi.org/10.1016/S0140-6736(74)90884-8.
crossref
18. Karhu O, Kansi P, Kuorinka I. Correcting working postures in industry: A practical method for analysis. Applied Ergonomics. 1977; 8(4):199–201.
crossref
19. Furman EF. Undernutrition in older adults across the continuum of care: Nutritional assessment, barriers, and interventions. Journal of Gerontological Nursing. 2006; 32(1):22–27.
crossref
20. Kim YK. A study on management measures of street vendors in the vicinity of traditional markets. Journal of Channel and Retailing. 2010; 15(5):155–174.
21. Caruso CC, Bushnell T, Eggerth D, Heitmann A, Kojola B, Newman K, et al. Long working hours, safety, and health: Toward a National Research Agenda. American Journal of Industrial Medicine. 2006; 49(11):930–942.
crossref
22. Cohen S, Hoberman HM. Positive events and social supports as buffers of life change stress1. Journal of Applied Social Psychology. 1983; 13(2):99–125.
crossref
23. Lee SW. Effects of social support on job stress and job burnout: focus on luxury hotel in Seoul. The Journal of the Korea Contents Association. 2013; 13(11):423–432. http://dx.doi.org/10.5392/JKCA.2013.13.11.423.
24. Park SG, Min KB, Chang SJ, Kim HC, Min JY. Job stress and depressive symptoms among Korean employees: The effects of culture on work. International Archives of Occupational and Environmental Health. 2009; 82(3):397–405. http://dx.doi.org/10.1007/s00420-008-0347-8.
crossref
25. Kim DB, Sohn ES. A meta-analysis of the variables related to depression in elderly. Journal of the Korean Gerontological Society. 2005; 25(4):167–187.
26. Kim JS, Kim DS, Gil HJ, Park YS, Sin HH, Park JT. Significance and prospect of workers health center. Journal of the Korean Medical Association. 2014; 57(2):159–166. http://dx.doi.org/10.5124/jkma.2014.57.2.159.
crossref

Figure 1.
Study framework.
jkachn-28-44f1.tif
Table 1.
General Characteristics and Job-related Factors
Characteristics Categories n (%) or M±SD Shop merchants (n=325)
Street venders (n=175)
x2 or t p
n (%) or M±SD n (%) or M±SD
Age (year) <50 71 (14.2) 45 (13.8) 26 (14.9) 0.41 .937
50~59 179 (35.8) 115 (35.4) 64 (36.6)
60~69 172 (34.4) 115 (35.4) 27 (32.6)
≥70 78 (15.6) 50 (15.4) 28 (5.6)
59.28±9.91 53.47±9.22 58.95±10.93 0.48 .626
Educational level ≤Elementary school 136 (27.2) 77 (23.7) 59 (33.7) 8.42 .038
Middle school 156 (31.2) 105 (32.3) 51 (29.1)
High school 188 (37.6) 126 (38.8) 62 (35.4)
≥College 20 (4.0) 17 (5.2) 3 (1.7)
Marital status Married 409 (81.8) 274 (84.3) 135 (77.1) 9.37 .009
Unmarried 6 (1.2) 6 (1.8) 0 (0.0)
Divorced/separated 85 (17.0) 45 (13.8) 40 (22.9)
Job position Employer 435 (87.0) 296 (91.1) 139 (79.4) <.001
Employee 65 (13.0) 29 (8.9) 36 (20.6)
Job tenure (year) <10 98 (19.6) 45 (13.8) 53 (30.3) 27.37 <.001
10~19 130 (26.0) 78 (24.0) 52 (29.7)
≥20 272 (54.4) 202 (62.2) 70 (40.0)
19.32±11.93 21.03±12.01 16.11±10.93 4.52 <.001
Working hour (day) <8 35 (7.0) 20 (6.2) 15 (8.6) 1.02 .203
≥8 465 (93.0) 305 (93.8) 160 (91.4)
11.02±2.42 11.11±2.32 10.85±2.41 1.32 .186
Number of customer (hour) <5 201 (40.2) 141 (43.4) 60 (34.3) 4.17 .124
5~10 164 (32.8) 103 (31.7) 61 (34.9)
≥10 135 (27.0) 81 (24.9) 54 (30.9)
13.84±20.81 14.13±22.41 13.49±17.83 0.27 .785
Number of absence day (year) <5 477 (95.4) 312 (96.0) 165 (94.3) 1.23 .540
5~10 11 (2.2) 7 (2.2) 4 (2.3)
≥10 12 (2.4) 6 (1.8) 6 (3.4)
3.92±45.44 1.81±7.34 7.96±76.15 -1.42 .294
Experience of safety accident No 413 (82.6) 256 (78.8) 157 (89.7) 9.48 .001
Yes 87 (17.4) 69 (21.2) 18 (10.3)
Toilet accessibility No 60 (12.0) 38 (11.7) 22 (12.6) 0.08 .438
Yes 440 (88.0) 287 (88.3) 153 (87.4)
Healthy working environment No 354 (70.8) 212 (65.2) 142 (81.1) 13.93 <.001
Yes 146 (29.2) 113 (34.8) 33 (18.9)
Insurance No 446 (89.2) 283 (87.1) 163 (93.1) 4.34 .024
Yes 54 (10.8) 42 (12.9) 12 (6.9)

Fisher’s exact test.

Table 2.
Health Status and Status of Health Care Utilization
Variables Categories n (%) or M±SD Shop merchants
Street venders
x2 or t p
n (%) or M±SD n (%) or M±SD
Body Mass Index Underweight 1 (0.2) 0 (0.0) 1 (0.6) 2.18 .534
Normal 214 (42.8) 139 (42.8) 75 (42.9)
Overweight 139 (27.8) 93 (28.6) 46 (26.3)
Obese 146 (29.2) 93 (28.6) 53 (30.3)
23.61±2.82 23.52±2.65 23.73±3.18 -0.58 .560
Physical activity Inactive 89 (17.8) 53 (16.3) 36 (20.6) 5.96 .051
Minimally active 324 (64.8) 206 (63.4) 118 (67.4)
HEPA active 87 (17.4) 66 (20.3) 21 (12.0)
Depression Probable depression (≥16) 264 (52.8) 156 (48.0) 108 (61.7) 8.58 .002
Suspicious depression (≥21) 155 (31.0) 70 (21.5) 85 (48.6) 38.86 <.001
Definite depression (≥25) 105 (21.0) 39 (12.0) 66 (37.7) 45.33 <.001
17.34±8.13 15.93±7.24 20.57±9.15 -5.65 <.001
Nutritive condition Good nutrition condition 137 (27.4) 100 (30.8) 37 (21.1) 9.95 .007
Moderate nutrition risk 149 (29.8) 102 (31.4) 47 (26.9)
High nutritive risk 214 (42.8) 123 (37.8) 91 (52.0)
5.54±4.25 5.03±3.81 6.71±4.72 <.001
Job stress (ERI>1) No 197 (39.4) 125 (38.5) 72 (41.1) 0.34 .312
Yes 303 (60.6) 200 (61.5) 103 (58.9)
Working posture Normal posture 141 (28.2) 91 (28.0) 50 (28.6) 0.97 .807
Slightly harmful 313 (62.6) 202 (62.2) 111 (63.4)
Distinctly harmful 36 (7.2) 26 (8.0) 10 (5.7)
Extremely harmful 10 (2.0) 6 (1.8) 4 (2.3)
Back pain 3.51±2.41 3.56±2.40 3.67±2.41 -0.31 .753
Work related musculoskeletal pain No 131 (26.4) 90 (27.9) 41 (23.6) .130
Yes 366 (73.6) 233 (72.1) 133 (76.4)
Perceived general health status Good 215 (43.0) 128 (39.4) 87 (49.7) 5.97 .050
Moderate 203 (40.6) 144 (44.3) 59 (33.7)
Poor 82 (16.4) 53 (16.3) 29 (16.6)
Regular medical checkup No 115 (23.0) 76 (23.4) 39 (22.3) 0.07 .436
Yes 385 (77.0) 249 (76.6) 136 (77.7)
Accessibility of visiting health care institution No 347 (69.4) 229 (70.5) 118 (67.4) 2.23 .327
Yes 152 (30.4) 96 (29.5) 56 (32.0)
Reasons for lack of accessibility to health care institution High cost 29 (19.0) 19 (19.8) 10 (17.9) 4.45 .814
Difficult to hospital reservation 13 (8.6) 8 (8.3) 5 (8.9)
Difficult to meet the time 70 (46.0) 44 (45.8) 26 (46.4)
Too long waiting time 14 (9.2) 8 (8.3) 6 (10.7)
Others 26 (17.2) 17 (17.8) 9 (16.1)

Fisher’s exact test.

Table 3.
Needs for Public Health Service
Variables Categories n (%) Shop merchants
Street venders
x2 p
n (%) n (%)
Intention of public health care utilization No 95 (19.0) 57 (17.5) 38 (21.7) 1.57 .455
Yes 368 (73.6) 245 (75.4) 123 (70.3)
Not available 37 (7.4) 23 (7.1) 14 (2.8)
Needs for public health care service Exercise 141 (28.2) 102 (31.4) 39 (27.7) 17.61 .062
Stress management 46 (9.2) 28 (8.6) 18 (10.3)
Drinking reduction campaign 1 (0.2) 1 (0.3) 0 (0.0)
Anti-smoking campaign 0 (0.0) 0 (0.0) 0 (0.0)
Nutritional education 33 (6.6) 26 (8.0) 7 (4.0)
Dental care 21 (4.2) 11 (3.4) 10 (5.7)
Medical checkup 134 (26.8) 83 (25.5) 51 (29.1)
Chronic diseases management 68 (13.6) 35 (10.8) 33 (18.9)
Safety education 2 (0.4) 1 (0.3) 1 (0.6)
Work-realted musculoskeletal-DM 45 (9.0) 32 (9.8) 13 (7.4)
Not available 9 (1.8) 6 (1.8) 3 (1.7)
Reasons for unintended public health care utilization Healthy 10 (10.5) 6 (10.5) 4 (10.5) 15.70 .028
Not helpful 7 (7.4) 4 (7.0) 3 (7.9)
Shortage of time 34 (35.8) 21 (36.8) 13 (34.2)
Not interested 17 (17.9) 5 (8.8) 12 (31.6)
Low health care service quality 14 (14.8) 11 (19.3) 3 (7.9)
Not usually used hospitals 12 (12.6) 10 (17.5) 2 (5.3)
Needs for visiting nursing care service No 156 (31.2) 99 (30.5) 57 (32.6) 6.55 .038
Yes 279 (55.8) 192 (59.1) 87 (49.7)
Not available 65 (13.0) 34 (10.5) 31 (17.7)
Need for public health care facilities Rest facilities 106 (21.2) 74 (22.8) 32 (18.3) 10.64 .223
Restroom 148 (29.6) 100 (30.8) 48 (27.4)
Health counseling room 198 (39.6) 117 (36.0) 81 (46.3)
Society 17 (3.4) 13 (4.0) 4 (2.3)
Sports facilities 8 (1.6) 6 (1.8) 2 (1.1)
Sauna 5 (1.0) 2 (0.6) 3 (1.7)
Physical Therapy 1 (0.2) 0 (0.0) 1 (0.6)
Swimming pool 2 (0.4) 2 (0.6) 0 (0.0)
Not available 15 (3.0) 11 (3.4) 4 (2.3)

DM=diseases management;

Fisher’s exact test.

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