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Women's (health) work: A population-based, cross-sectional study of gender differences in time spent seeking health care in Malawi.

ABSTRACT: BACKGROUND:There has been a notable expansion in routine health care in sub-Saharan Africa. While heath care is nominally free in many contexts, the time required to access services reflects an opportunity cost that may be substantial and highly gendered, reflecting the gendered nature of health care guidelines and patterns of use. The time costs of health care use, however, have rarely been systematically assessed at the population-level. METHODS:Data come from the 2015 wave of a population-based cohort study of young adults in southern Malawi during which 1,453 women and 407 men between the ages of 21 and 31 were interviewed. We calculated the time spent seeking health care over a two-month period, disaggregating findings by men, recently-pregnant women, mothers with children under two years old, and "other women". We then extrapolated the time required for specific services to estimate the time that would be needed for each subpopulation to meet government recommendations for routine health services over the course of a year. RESULTS:Approximately 60% of women and 22% of men attended at least one health care visit during the preceding two months. Women spent six times as long seeking care as did men (t = -4.414, p<0.001), with an average 6.4 hours seeking care over a two-month period compared to 1 hour for men. In order to meet government recommendations for routine health services, HIV-negative women would need to spend between 19 and 63 hours annually seeking health care compared to only three hours for men. An additional 40 hours would be required of HIV-positive individuals initiating antiretroviral care. CONCLUSIONS:Women in Malawi spend a considerable amount of time seeking routine health care services, while men spend almost none. The substantial time women spend seeking health care exacerbates their time poverty and constrains opportunities for other meaningful activities. At the same time, few health care guidelines pertain to men who thus have little interaction with the health care system. Additional public health strategies such as integration of services for those services frequently used by women and specific guidelines and outreach for men are urgently needed.

SUBMITTER: Yeatman S

PROVIDER: S-EPMC6303093 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundBeyond the degree of adiposity, the pattern of fat distribution has a profound influence on cardiometabolic risk. It is unclear if sex differences in body fat distribution can potentially explain any sex differences in the prevalence of the metabolic syndrome (MetS) and in individual cardiometabolic risk factors among obese men and women.MethodsIn this cross-sectional analysis, 432 persons from the ongoing Obesity Weight Reduction Study (n = 356 obese, ØBMI 41 ± 8 kg/m2, and 76 non-obese, ØBMI 25 ± 3 kg/m2), were included. The relations of sex to MetS prevalence and selected cardiometabolic risk factors were assessed using univariate and multivariate adjusted regression models.ResultsIn crude analyses, %fat mass and the fat mass/lean mass ratio were significantly higher in women than in men, regardless of increasing obesity categories, from normal weight to grade-3-obesity. In contrast, markers of abdominal obesity, such as waist circumference and waist-to-hip ratio were higher in men than in women, despite similar BMI. The prevalence of the MetS was higher in obese men than in women (67.6 vs. 45.0%, p < 0.0001), particularly in younger individuals < 40 years (72.5 vs. 36.8%, p < 0.0001), but "metabolically healthy obesity" (BMI ≥ 30, no other NCEP ATPIII MetS component) was more common in women than in men (15.6 vs. 4.1%, p < 0.0001). After adjusting for age, %body fat and height, sex differences were observed for HDL-cholesterol (p < 0.001), triglycerides (p < 0.001), fasting glucose (p = 0.002), insulin and HOMA-IR levels (p < 0.001), ALAT (p < 0.001), adiponectin (p < 0.001), and sE-selectin (p = 0.005). In contrast, crude sex differences in other variables, such as leptin levels (68 ± 4 in obese women vs. 33 ± 2 µg/L in men, p < 0.0001), disappeared after accounting for differences in %body fat (least-squares means of leptin: 52 ± 4 vs. 55 ± 6 µg /L, p = 0.740). A logistic regression model adjusting for age and lifestyle factors revealed a lower risk of having MetS for women as compared to men (OR = 0.38[0.22-0.60]). That risk estimate did not materially alter after adding BMI to the model. In contrast, no statistically significant association between sex and MetS prevalence was observed after adding waist circumference and adiponectin to the model (OR = 1.41[0.59-3.36]).ConclusionsDifferent body fat distribution patterns, particularly abdominal adiposity, adiponectin, and related biomarkers, may contribute to sex differences in cardiometabolic risk factors and to the prevalence of the MetS.

Project description:PURPOSE:Environmental perceptions and psychological measures appear to be associated with walking and cycling behaviour; however, their influence is still unclear. We assessed these associations using baseline data from a quasi-experimental cohort study of the effects of major transport infrastructural developments in Cambridge, UK. METHODS:Postal surveys were sent to adults who travel to work in Cambridge (n = 1582). Questions asked about travel modes and time spent travelling to and from work in the last week, perceptions of the route, psychological measures regarding car use and socio-demographic characteristics. Participants were classified into one of two categories according to time spent walking for commuting ('no walking' or 'some walking') and one of three categories for cycling ('no cycling', '1-149 min/wk' and ' ? 150 min/wk'). RESULTS:Of the 1164 respondents (68% female, mean (SD) age: 42.3 (11.4) years) 30% reported any walking and 53% reported any cycling to or from work. In multiple regression models, short distance to work and not having access to a car showed strong positive associations with both walking and cycling. Furthermore, those who reported that it was pleasant to walk were more likely to walk to or from work (OR = 4.18, 95% CI 3.02 to 5.78) and those who reported that it was convenient to cycle on the route between home and work were more likely to do so (1-149 min/wk: OR = 4.60, 95% CI 2.88 to 7.34; ? 150 min/wk: OR = 3.14, 95% CI 2.11 to 4.66). Positive attitudes in favour of car use were positively associated with time spent walking to or from work but negatively associated with cycling to or from work. Strong perceived behavioural control for car use was negatively associated with walking. CONCLUSIONS:In this relatively affluent sample of commuters, a range of individual and household characteristics, perceptions of the route environment and psychological measures relating to car use were associated with walking or cycling to and from work. Taken together, these findings suggest that social and physical contexts of travel decision-making should be considered and that a range of influences may require to be addressed to bring about behaviour change.

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Women's (health) work: A population-based, cross-sectional study of gender differences in time spent seeking health care in Malawi.

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