| Literature DB >> 31717679 |
Saadi Diana1, Tirosh Emanuel2, Agay-Shay Keren3, Schnell Izhak4.
Abstract
Parental stresses are normal responses to raising children. They are affected by stresses parents and children accumulate and bring to their interrelations. Background factors like economic difficulties or the relations between the parents may affect parental stresses as well as demographic and environmental factors like noise and access to urban parks. Most studies on parental stress are based on a verified psychological questionnaire. We suggest using frequency domain heart rate variability index (HRV) to measure parental stress enabling, by thus, the measurement of physiological aspects of stress and risk to health. Parental stress is measured as the difference between HRV accumulated at home while staying with the children and without the husband and HRV measured in the neighborhood while staying without the children and the husband. We use the index to compare differences among Muslim and Jewish mothers in exposure to maternal stress at their homes and to expose the factors that predict differences in maternal stress. We found that Muslim mothers suffer from home-related maternal stress while Jewish mother do not. Number of children and ethnically related environmental aspects predict differences in maternal stress between Muslim and Jewish mothers. Muslims' lower access to parks stems from lack of home garden and parks in their neighborhoods in the Arab towns but mainly by restrictions on Muslim mothers' freedom of movement to parks. Despite differences in levels of noise at home and in the status of the mother in the household, these factors did not predict differences in maternal stress. Instead, the study highlights the crucial role of greenery and freedom of movement to parks in moderating home-related maternal stress.Entities:
Keywords: demographic; environmental and gender factors associated with maternal stress; heart rate variability as an index of parental stress; maternal stress; parental stress; socio-economic
Mesh:
Year: 2019 PMID: 31717679 PMCID: PMC6888124 DOI: 10.3390/ijerph16224393
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Mean frequency domain heart rate variability (HRV) indices with children at home and outdoors without children by ethnicity: Muslim mothers (n = 42), Jewish mothers (n = 24).
| LnLF/HF | LF_nu | HF_nu | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Home | Neighbor- | % | Home | Neighbor- | % | Home | Neighbor- | % | |
| Muslims | 12.8 | 8.8 | 31.2 | 92.0 | 88.4 | 3.9 | 8.0 | 11.6 | −45.0 |
| Jews | 8.2 | 11.3 | −37.8 | 88.4 | 91.1 | −3.0 | 11.5 | 8.9 | 22.6 |
| % Diff. | 35.9 | −28.4 | 3.9 | −3.1 | −43.7 | 23.3 | |||
| ANOVA Sig. | 0.0001 | 0.0001 | 0.05 | 0.001 | 0.05 | 0.05 | |||
LnLF/HF=Log normal of frequency domain analysis of the functioning of the autonomic nervous system calculated as the proportion between high and low frequencies. LF_nu=The relative contribution of LF to LF/HF. HF_nu=The relative contribution of HF to LF/HF.
Figure 1Error bars for Muslim and Jewish home-related maternal stress.
Distribution of Muslim (n = 48) and Jewish mothers (n = 24), n = (%).
| Muslim | Jewish | |||
|---|---|---|---|---|
| Socio-economic | Economic status | Low | 47.9 | 0 |
| Fair through good | 52.1 | 100 | ||
| Work | Working | 52.1 | 100 | |
| Not working | 47.9 | 0 | ||
| Education | Secondary | 64.5 | 0 | |
| Higher education | 35.4 | 100 | ||
| Demographic | Residential density | Not crowded | 33.3 | 100 |
| Crowded | 66.6 | 0 | ||
| No of children | Few | 39.6 | 91.7 | |
| Many | 60.4 | 8.3 | ||
| Woman’s status in | Participation in | Not involved | 66.7 | 0 |
| Involved | 33.3 | 100 | ||
| Free visit to park | with a company | 48.1 | 0 | |
| On her own | 51.9 | 100 | ||
| Environment | Garden at home | Yes | 0 | 100 |
Analysis of variance (ANOVA) for differences between Muslim and Jewish subjects for all variables are significant at the level of 0.0001.
Multiple regression analyses including possible associated stressors as related to maternal stress outcome.
| Aspect | Statistics | B | Sig. | |||
|---|---|---|---|---|---|---|
| R2 | F | Sig. | ||||
| Socio-economic | 0.17 | Economic status | −0.11 | 0.8 | ||
| 7.1 | 0.002 | Work | −0.13 | 0.8 | ||
| Education | −0.38 | 0.0001 | ||||
| Demographic | 0.59 | 51.0 | 0.0001 | Residential density | 0.08 | 0.92 |
| No of children | 0.60 | 0.0001 | ||||
| Ethnicity | 0.22 | 0.0001 | ||||
| Woman’s status in | 0.54 | Participation in | 0.04 | 0.3 | ||
| 41.1 | 0.0001 | Free visit to park | −0.60 | 0.0001 | ||
| Environment | 0.53 | 40.9 | 0.0001 | Garden at home | −0.60 | 0.0001 |
A Multidimensional regression between the best predictors of maternal stress and maternal stress.
| B | Sig. | Partial Correlation | |
|---|---|---|---|
| No. Children | 0.48 | 0.0001 | 0.73 |
| Ethnic environment | 0.44 | 0.0001 | 0.57 |
| Education | 0.06 | 0.46 | 0.09 |
Figure 2Scatter plot of Muslim and Jewish mothers by maternal stress.