Skip to main content
Have a personal or library account? Click to login
Internal Migration as a Social Determinant of Occupational Health and WASH Access in Myanmar Cover

Internal Migration as a Social Determinant of Occupational Health and WASH Access in Myanmar

Open Access
|Nov 2021

Figures & Tables

Table 1

Socio-demographic characteristics of internal migrants and non-migrants in the Mandalay District.

VARIABLETOTAL (N = 937) NO. (%)NON-MIGRANTS (N = 717) NO. (%)MIGRANTS (N = 220) NO. (%)P
Urban – Chanayethazan416 (44.4)288 (40.2)128 (58.2%)<0.001
Average age42.8 ± 14.143.2 ± 14.241.5 ± 13.70.113
Female715 (77.0)549 (77.1)166 (76.9)0.938
Self-reported health
      Poor/Fair (ref: good/excellent)327 (35.8)244 (35.1)83 (38.1)0.418
Participant’s educationa0.106
      None and non-standard curriculum66 (7.1)46 (6.5)20 (9.1)
      Primary school307 (33.0)242 (34.0)65 (29.5)
      Secondary school253 (27.2)199 (28.0)54 (24.5)
      High school165 (17.7)115 (16.2)50 (22.7)
      University140 (15.0)109 (15.3)31 (14.1)
Household highest educationa0.174
      None and non-standard curriculum29 (3.1)18 (2.5)11 (5.0)
      Primary school115 (12.4)89 (12.6)26 (11.9)
      Secondary school193 (20.8)142 (20.1)51 (23.3)
      High school277 (29.9)209 (29.6)68 (31.1)
      University312 (33.7)249 (35.2)63 (28.8)
Household in extreme povertyb263 (35.6)205 (34.9)58 (38.2)0.458
Lives in temporary hut/bamboo house (ref: all other housing types)215 (23.2)146 (20.7)69 (31.5)0.001

[i] a p value shown for categorical variable not individual dummy variables. b Equal or less than 1.25 USD/person/day.

Table 2

Occupational health of internal migrants and non-migrants.

ILLNESS/INJURYOCCUPATIONNON-MIGRANTMIGRANTOCCUPATIONNON-MIGRANTMIGRANT
Construction/Factory (n = 60)53 (7.9)7 (3.4)*Own Business (n = 196)154 (22.8)42 (20.3)
Injury (any)5 (9.6)0 (0.0)10 (7.3)2 (5.7)
Cuts4 (7.7)0 (0.0)5 (3.6)2 (5.7)
Illness (any)6 (11.8)2 (28.6)12 (9.0)14 (38.9)***
Heatstroke4 (8.0)1 (14.3)11 (8.2)9 (25.7)**
Vomiting1 (2.1)0 (0.0)0 (0.0)3 (10.3)**
Diarrhea1 (2.1)0 (0.0)0 (0.0)2 (6.9)*
Coughing1 (2.1)1 (16.7)3 (2.3)9 (27.3)***
Driver (n = 23)11 (1.6)12 (5.8)***Street Vendor (n = 68)40 (5.9)28 (29.0)***
Injury (any)0 (0.0)3 (27.3)1 (3.2)10 (47.6)***
Cuts0 (0.0)0 (0.0)1 (3.2)10 (47.6)***
Illness (any)2 (50.0)3 (42.9)5 (17.2)13 (50.0)*
Heatstroke2 (50.0)3 (42.9)2 (6.9)12 (46.2)***
Vomiting0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Diarrhea0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Coughing2 (50.0)0 (0.0)3 (10.7)9 (45.0)*
Farmer (n = 53)49 (7.3)4 (1.9)**Housewife (n = 229)169 (29.0)60 (29.0)
Injury (any)1 (3.8)1 (25.0)2 (9.5)5 (26.3)
Cuts1 (4.0)0 (0.0)2 (9.5)4 (21.1)
Illness (any)4 (14.8)0 (0.0)3 (17.6)4 (23.5)
Heatstroke4 (14.8)0 (0.0)3 (17.6)2 (11.8)
Vomiting1 (3.8)0 (0.0)0 (0.0)1 (5.9)
Diarrhea1 (3.8)0 (0.0)0 (0.0)0 (0.0)
Coughing4 (14.8)0 (0.0)0 (0.0)0 (0.0)
Government (n = 42)37 (5.5)5 (2.4)Other (n = 211)162 (24.0)49 (23.7)
Injury (any)2 (6.7)2 (40.0)18 (17.3)9 (24.3)
Cuts2 (6.7)2 (40.0)9 (9.1)2 (5.6)
Illness (any)8 (26.7)2 (40.0)23 (23.0)12 (30.8)
Heatstroke8 (26.7)2 (40.0)13 (13.1)8 (21.6)
Vomiting0 (0.0)0 (0.0)4 (4.3)4 (11.4)
Diarrhea3 (10.7)0 (0.0)3 (3.2)5 (14.3)*
Coughing3 (10.7)0 (0.0)14 (14.9)6 (17.6)
Overall (n = 882)675 (76.5)207 (23.5)***
Injury (any)40 (9.6)32 (22.5)***
Cuts24 (5.8)20 (14.7)***
Illness (any)67 (16.5)50 (35.0)***
Heatstroke48 (11.9)37 (26.4)***
Vomiting6 (1.6)8 (7.0)**
Diarrhea8 (2.1)7 (6.1)*
Coughing33 (8.6)25 (20.3)***

[i] Statistical significance based on chi-square and Fisher’s Exact tests between migrants and non-migrants.

*** p < 0.001, ** p < 0.01, * p < 0.05 95% CI in parentheses.

Table 3

WASH Access and behavior.

VARIABLETOTAL (N = 937) NO. (%)NON-MIGRANTS(N = 717) NO. (%)MIGRANTS (N = 220) NO. (%)P
Lives in urban area416 (44.4)288 (40.2)128 (58.2)<0.001
Lives in temporary hut or bamboo house215 (23.2)146 (20.7)69 (31.5)0.001
Improved source of drinking water796 (86.2)636 (89.8)160 (74.4)<0.001
Improved source of household water800 (86.8)627 (88.6)173 (80.8)0.004
Improved sanitation facility842 (91.5)657 (93.1)185 (86.4)0.002
Always wash hands with soapc342 (38.2)272 (39.8)70 (33.2)0.085
    After using toilet807 (90.8)629 (92.5)178 (85.2)0.001
    Before hand or breastfeeding children381 (76.8)301 (80.3)80 (66.1)0.001
    Before cooking or preparing food622 (87.1%)500 (89.1)122 (79.7)0.002

[i] Statistical significance based on chi-square tests between migrants and non-migrants.

c Handwashing: Each outcome variable is measured as 1 = always 0 = not always. “Always” variable is before/after each of 5 activities (toileting, cleaning child’s bottom, feeding, eating and cooking).

Table 4

Multivariable analysis of WASH access.

VARIABLEIMPROVED SOURCE OF DRINKING WATERIMPROVED SOURCE OF HOUSEHOLD WATERIMPROVED SANITATION FACILITY
Non-Migrant3.49***1.90*1.98*
(2.17–5.61)(1.15–3.14)(1.10- 3.58)
Lives in a rural area1.582.42***1.19
(0.981–2.55)(1.47–3.97)(0.641–2.19)
Lives in permanent housing1.94*3.48***4.19***
(1.15–3.25)(2.07–5.85)(2.39–7.37)
Compulsory Edu (HH)1.061.143.30***
(0.588–1.92)(0.625–2.09)(1.85–5.89)
Household above poverty line1.78*1.110.935
(1.12–2.82)(0.686–1.78)(0.528–1.66)
Observations713716717

[i] Logistic regression (Odds Ratios). 95% Confidence Intervals in parentheses. Compulsory education or greater is at least 9 years for one household member. Poverty = $1.25 per person per day.

*** p < 0.001, ** p < 0.01, * p < 0.05.

Table 5

Multivariable analysis of handwashing behavior: Wash hands with soap and water.

VARIABLEALWAYS – 5 ACTIVITIESAFTER USING THE TOILETBEFORE HAND OR BREASTFEEDING CHILDRENBEFORE COOKING
Non-Migrant1.81**2.80***2.84***2.08**
(1.19–2.74)(1.66–4.72)(1.68–4.79)(1.20–3.60)
Age0.984*1.011.021.06***
(0.972–0.998)(0.993–1.03)(0.997–1.04)(1.04–1.09)
Female2.10**1.111.360.595
(1.36–3.25)(0.593–2.08)(0.701–2.63)(0.255–1.39)
Lives in rural area1.041.090.8991.06
(0.737–1.48)(0.637–1.87)(0.530–1.52)(0.614–1.85)
Median income +0.8091.331.010.699
(0.587–1.12)(0.804–2.187)(0.631–1.63)(0.424–1.153)
Compulsory Edu (Ind)1.211.96*0.8171.53
(0.855–1.71)(1.16–3.33)(0.480–1.39)(0.882–2.66)
Observations699694382562

[i] Logistic regression (Odds Ratios). *** p < 0.001, ** p < 0.01, * p < 0.05 95% CI in parentheses. All variables except age (continuous) are dichotomous. Median income = $200 USD per month. Compulsory education or greater is at least 9 years for the individual respondent. Each outcome variable is measured as 1 = always 0 = not always. “Always” variable is before/after each of 5 activities (toileting, cleaning child’s bottom, feeding, eating and cooking).

DOI: https://doi.org/10.5334/aogh.3381 | Journal eISSN: 2214-9996
Language: English
Published on: Nov 11, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Heidi West, Marlar Than, Thinzar Win, Khin Thein Oo, Kyi Khaing, Thin Thin Aye, San Myint Yi, Su Yi Myo, Su Yi Toe, Maja Milkowska-Shibata, Kristin Melissa, Can Meng, Tomoyuki Shibata, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.