| Literature DB >> 34141421 |
Firdian Makrufardi1, Paulin Surya Phillabertha1, Erri Larene Safika1.
Abstract
INTRODUCTION: Dengue has been a burden, especially in tropical country. Indonesian Ministry of Health promote dengue prevention through environmental control with 3 M (covering water storage, cleaning water storage, and recycling unused items) practices. Here we analyzed factors associated with dengue prevention behavior in riverbank area of Yogyakarta Province.Entities:
Keywords: 3M practices; Dengue prevention; Riverbank; Socio-demographic
Year: 2021 PMID: 34141421 PMCID: PMC8187934 DOI: 10.1016/j.amsu.2021.102450
Source DB: PubMed Journal: Ann Med Surg (Lond) ISSN: 2049-0801
Association between characteristics and covering water storage variable.
| Characteristics | Freq. | % | Code of covering water storage variable, N | p | |||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | ||||
| Sex | |||||||
| Male | 10 | 11.2 | 0 | 1 | 1 | 8 | 0.784 |
| Female | 79 | 88.8 | 1 | 18 | 8 | 52 | |
| Age | |||||||
| Young (<35 years old) | 15 | 16.9 | 0 | 3 | 4 | 8 | <0.001 |
| Middle (35–60 years old) | 69 | 77.5 | 0 | 16 | 4 | 49 | |
| Elderly (>60 years) | 5 | 5.6 | 1 | 0 | 1 | 3 | |
| Marital status | |||||||
| Single | 15 | 16.9 | 1 | 4 | 0 | 10 | 0.072 |
| Married | 74 | 83.1 | 0 | 15 | 9 | 50 | |
| Education level | |||||||
| Not attending school | 11 | 12.4 | 1 | 4 | 1 | 5 | 0.261 |
| Elementary school | 15 | 16.9 | 0 | 3 | 0 | 12 | |
| Junior high school | 17 | 19.1 | 0 | 4 | 0 | 13 | |
| Senior high school | 39 | 43.8 | 0 | 7 | 7 | 25 | |
| Bachelor degree | 3 | 3.4 | 0 | 0 | 0 | 3 | |
| Master/Phd | 4 | 4.5 | 0 | 1 | 1 | 2 | |
| Monthly income | |||||||
| ≤1 million rupiahs | 1 | 1.1 | 0 | 0 | 0 | 1 | 0.764 |
| 1–2.5 million rupiahs | 36 | 40.4 | 1 | 8 | 6 | 21 | |
| 2.5–5 million rupiahs | 45 | 50.6 | 0 | 11 | 2 | 32 | |
| 5–7.5 million rupiahs | 5 | 5.6 | 0 | 0 | 1 | 4 | |
| >7.5 million rupiahs | 2 | 2.2 | 0 | 0 | 0 | 2 | |
| Occupation | |||||||
| Does not work | 3 | 3.4 | 0 | 1 | 0 | 2 | 0.007 |
| Student | 2 | 2.2 | 0 | 0 | 0 | 2 | |
| Housewife | 51 | 57.3 | 1 | 11 | 4 | 35 | |
| Government employees | 2 | 2.2 | 0 | 1 | 0 | 1 | |
| Private employees | 7 | 7.9 | 0 | 2 | 5 | 0 | |
| Entrepeneur/trader | 12 | 13.5 | 0 | 1 | 0 | 11 | |
| Service provider | 2 | 2.2 | 0 | 0 | 0 | 2 | |
| Fisherman | 5 | 5.6 | 0 | 0 | 0 | 5 | |
| Laborer | 4 | 4.5 | 0 | 3 | 0 | 1 | |
| Others | 1 | 1.1 | 0 | 0 | 0 | 1 | |
Source: authors' survey, 2019.
Operationalization and coding of dengue prevention variables.
| Variables | Operational definition | Category | Code | Freq. | % |
|---|---|---|---|---|---|
| Covering water storage | Close tightly water reservoirs such as bathtubs and drums. Closing can also be interpreted as the activity of burying used goods in the ground | Do not know | 1 | 1 | 1.1 |
| Never | 2 | 19 | 21.3 | ||
| Usually (1–6 times a week) | 3 | 9 | 10.1 | ||
| Always (7 times a week) | 4 | 60 | 67.4 | ||
| Cleaning water storage | Clean/drain places that are often used as water reservoirs such as bathtubs, jugs, water toren, drums and other water reservoirs. | Do not know | 1 | 2 | 2.2 |
| Never | 2 | 27 | 30.3 | ||
| Once a week | 3 | 40 | 44.9 | ||
| Twice a week | 4 | 18 | 20.2 | ||
| Three or more times a week | 5 | 2 | 2.2 | ||
| Recycling items | Recycling used goods that are economically valuable (recycled) | Do not know | 1 | 18 | 20.2 |
| Never | 2 | 12 | 13.5 | ||
| Once a week | 3 | 15 | 16.9 | ||
| Twice a week | 4 | 26 | 29.2 | ||
| Three or more times a week | 5 | 18 | 20.2 |
Source: authors' own construct, 2019.
Association between characteristics and cleaning water storage variable.
| Characteristics | Freq. | % | Code of cleaning water storage variable, N | p | ||||
|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||||
| Sex | ||||||||
| Male | 10 | 11.2 | 0 | 3 | 5 | 2 | 0 | 0.784 |
| Female | 79 | 88.8 | 2 | 24 | 35 | 16 | 2 | |
| Age | ||||||||
| Young (<35 years old) | 15 | 16.9 | 0 | 5 | 5 | 5 | 0 | 0.886 |
| Middle (35–60 years old) | 69 | 77.5 | 2 | 21 | 32 | 12 | 2 | |
| Elderly (>60 years) | 5 | 5.6 | 0 | 1 | 3 | 1 | 0 | |
| Marital status | ||||||||
| Single | 15 | 16.9 | 0 | 7 | 5 | 3 | 0 | 0.966 |
| Married | 74 | 83.1 | 2 | 20 | 35 | 15 | 2 | |
| Education level | ||||||||
| Not attending school | 11 | 12.4 | 0 | 4 | 6 | 1 | 0 | 0.929 |
| Elementary school | 15 | 16.9 | 0 | 3 | 8 | 4 | 0 | |
| Junior high school | 17 | 19.1 | 1 | 4 | 8 | 3 | 1 | |
| Senior high school | 39 | 43.8 | 1 | 12 | 15 | 10 | 1 | |
| Bachelor degree | 3 | 3.4 | 0 | 1 | 2 | 0 | 0 | |
| Master/Phd | 4 | 4.5 | 0 | 3 | 1 | 0 | 0 | |
| Monthly income | ||||||||
| ≤1 million rupiahs | 1 | 1.1 | 0 | 0 | 1 | 0 | 0 | 0.965 |
| 1–2.5 million rupiahs | 36 | 40.4 | 0 | 11 | 16 | 8 | 1 | |
| 2.5–5 million rupiahs | 45 | 50.6 | 2 | 15 | 18 | 9 | 1 | |
| 5–7.5 million rupiahs | 5 | 5.6 | 0 | 0 | 4 | 1 | 0 | |
| >7.5 million rupiahs | 2 | 2.2 | 0 | 1 | 1 | 0 | 0 | |
| Occupation | ||||||||
| Does not work | 3 | 3.4 | 0 | 1 | 2 | 0 | 0 | 0.966 |
| Student | 2 | 2.2 | 0 | 0 | 2 | 0 | 0 | |
| Housewife | 51 | 57.3 | 1 | 12 | 25 | 11 | 2 | |
| Government employees | 2 | 2.2 | 0 | 2 | 0 | 0 | 0 | |
| Private employees | 7 | 7.9 | 0 | 2 | 3 | 2 | 0 | |
| Entrepeneur/trader | 12 | 13.5 | 1 | 3 | 5 | 3 | 0 | |
| Service provider | 2 | 2.2 | 0 | 2 | 0 | 0 | 0 | |
| Fisherman | 5 | 5.6 | 0 | 3 | 1 | 1 | 0 | |
| Laborer | 4 | 4.5 | 0 | 2 | 1 | 1 | 0 | |
| Others | 1 | 1.1 | 0 | 0 | 1 | 0 | 0 | |
Source: authors' survey, 2019.
Association between characteristics and recycling unused items variable.
| Characteristics | Freq. | % | Code of recycling unused items variable, N | p | |||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | ||||
| Sex | |||||||
| Male | 10 | 11.2 | 2 | 8 | 0 | 0 | 0.489 |
| Female | 79 | 88.8 | 10 | 54 | 1 | 14 | |
| Age | |||||||
| Young (<35 years old) | 15 | 16.9 | 1 | 9 | 0 | 4 | 0.611 |
| Middle (35–60 years old) | 69 | 77.5 | 11 | 47 | 1 | 10 | |
| Elderly (>60 years) | 5 | 5.6 | 0 | 5 | 0 | 0 | |
| Marital status | |||||||
| Single | 15 | 16.9 | 1 | 12 | 0 | 2 | 0.761 |
| Married | 74 | 83.1 | 11 | 50 | 1 | 12 | |
| Education level | |||||||
| Not attending school | 11 | 12.4 | 1 | 9 | 0 | 1 | 0.630 |
| Elementary school | 15 | 16.9 | 0 | 14 | 0 | 1 | |
| Junior high school | 17 | 19.1 | 1 | 12 | 0 | 4 | |
| Senior high school | 39 | 43.8 | 8 | 23 | 1 | 7 | |
| Bachelor degree | 3 | 3.4 | 1 | 1 | 0 | 1 | |
| Master/Phd | 4 | 4.5 | 1 | 3 | 0 | 0 | |
| Monthly income | |||||||
| ≤1 million rupiahs | 1 | 1.1 | 0 | 1 | 0 | 0 | 0.045 |
| 1–2.5 million rupiahs | 36 | 40.4 | 7 | 24 | 0 | 5 | |
| 2.5–5 million rupiahs | 45 | 50.6 | 4 | 32 | 0 | 9 | |
| 5–7.5 million rupiahs | 5 | 5.6 | 1 | 3 | 1 | 0 | |
| >7.5 million rupiahs | 2 | 2.2 | 0 | 2 | 0 | 0 | |
| Occupation | |||||||
| Does not work | 3 | 3.4 | 0 | 3 | 0 | 0 | 0.988 |
| Student | 2 | 2.2 | 0 | 2 | 0 | 0 | |
| Housewife | 51 | 57.3 | 8 | 31 | 1 | 11 | |
| Government employees | 2 | 2.2 | 0 | 2 | 0 | 0 | |
| Private employees | 7 | 7.9 | 2 | 3 | 0 | 2 | |
| Entrepeneur/trader | 12 | 13.5 | 1 | 10 | 0 | 1 | |
| Service provider | 2 | 2.2 | 0 | 2 | 0 | 0 | |
| Fisherman | 5 | 5.6 | 1 | 4 | 0 | 0 | |
| Laborer | 4 | 4.5 | 0 | 4 | 0 | 0 | |
| Others | 1 | 1.1 | 0 | 1 | 1 | 0 | |
Source: authors' survey, 2019.