Health-related quality of life in a general population sample in Kazakhstan and its sociodemographic and occupational determinants

Vinnikov, Denis; Raushanova, Aizhan; Romanova, Zhanna; Tulekov, Zhangir

doi:10.1186/s12955-021-01843-4

Cited by 10 publications

(10 citation statements)

References 20 publications

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“…Such high exposure to gaseous and particulate air pollution in Almaty has devastating effect on population health, including respiratory and cardiovascular effects. We earlier reported that physical component of health-related quality of life in Almaty was low [ 14 ], and its association with very poor air quality would likely be confirmed in future studies, yet unpublished. Respiratory and cardiovascular burden of extreme air pollution in Almaty has never been comprehensively assessed, but can allegedly be high, given that 15% of general population complains of clinically relevant respiratory symptoms and only 24% of subjects with verified chronic obstructive pulmonary disease (COPD) in the study were ever told they had COPD [ 15 ].…”

Section: Discussionmentioning

confidence: 78%

High levels of indoor fine particulate matter during the cold season in Almaty prompt urgent public health action

et al. 2023

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Introduction Almaty is the largest city of Kazakhstan with extreme air pollution, mostly in the cold season, but little is known whether staying indoors could lessen the exposure. The aim was to quantitatively characterize indoor fine PM levels and to verify the contribution of ambient pollution to it in a polluted city like Almaty. Methods We collected forty-six 24-hour 15-min average samples of the ambient air and a similar number of paired indoor samples (total 92 samples). Predictors of both ambient and indoor PM2.5 mass concentrations in mg/m3, including ambient concentration, precipitation, minimal daily temperature and humidity, along with the indoor/outdoor (I/O) ratio were tested in the adjusted regression models at eight 15-min lags. Results Ambient air PM2.5 15-min average mass concentrations were highly variable and ranged from 0.001 to 0.694 mg/m3 (geometric mean (GM) 0.090, geometric standard deviation (GSD) 2.285). Snowing was the strongest predictor of lower ambient PM2.5 24-hour mass concentrations (median 0.053 vs 0.135 mg/m3 (p<0.001)). Indoor mean 15-min PM2.5 concentrations ranged from 0.002 to 0.228 mg/m3 (GM 0.034, GSD 2.254). In adjusted models, outdoor PM2.5 concentration explained 0.58 of all variability of the indoor concentration with a 75-min delay (R2 0.67 at lag8 on snowing days). Median I/O ranged from 0.386 (IQR 0.264 to 0.532) at lag0 to 0.442 (IQR 0.339 to 0.584) at lag8. Conclusion During the cold season when fossil fuel is burnt for heating, the population in Almaty is exposed to very high fine PM levels even indoors. Urgent public health action is needed.

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Section: Discussionmentioning

confidence: 78%

High levels of indoor fine particulate matter during the cold season in Almaty prompt urgent public health action

et al. 2023

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“…Recent research based on Kazakhstan's general population's subjective perception of well-being found that low monthly income was one of the strongest negative predictors of poor physical and mental health [26]. In addition, considerable inequalities in selfrated health related to material deprivation were found in a Kazakhstani population of mature people aged 45+ [27].…”

Section: Introductionmentioning

confidence: 99%

Perceived Air Quality, Thermal Comfort and Health: A Survey of Social Housing Residents in Kazakhstan

Kurmanbekova,

Du,

Sharples

2024

Applied Sciences

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Kazakhstan is in Central Asia and is the ninth-largest country in the world. Some socially vulnerable segments of the Kazakh population residing in subsidised social housing have experienced a range of problems due to the low quality of housing construction and its planning. Poor indoor environmental conditions in social housing contribute to occupants’ comfort, health, and general well-being. This study assessed social housing residents’ health and quality of life, focusing on their perceived indoor air quality and thermal comfort satisfaction. A cross-sectional survey in Kazakhstan was conducted to test the effects of environmental factors on social housing residents’ health and satisfaction. Four hundred thirty-one responses were analysed, and the SF12v2 questionnaire was used to measure the health-related quality of life. Multiple regression analysis showed that air quality negatively predicted the respondents’ physical (PCS) and mental (MCS) health. In addition, age, smoking, and employment status had a significantly negative effect on PCS, while education level had a predictive positive effect. Thermal conditions negatively predicted only MCS, as well as alcohol consumption. Next, the air-conditioning control factor had a negative effect. In contrast, low air circulation, low humidity, high solar gain, temperature imbalance, duration of the residence and alcohol consumption had a significantly positive effect on overall satisfaction with the temperature. The odour sources from tobacco, furniture and external sources were predictors of respondents’ overall air quality satisfaction, along with the duration of the residence, alcohol consumption and smoking status.

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“…HRQoL is also an important predictor of survival [5], which means that HRQoL is important to measure and monitor. Decreased HRQoL is described as the result from suffering from health conditions and reflects individuals' adaptation to the adverse health outcomes of health conditions [6], wherefore understanding which factors that affect HrQoL is important for public health decisions. HRQoL is likely determined by the interplay of multiple physical, mental and socioeconomic factors, and this complex interplay must be accounted for in analyses to fully understand differences in HRQoL [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…HRQoL is likely determined by the interplay of multiple physical, mental and socioeconomic factors, and this complex interplay must be accounted for in analyses to fully understand differences in HRQoL [7,8]. In the middle age, the prevalence of diseases and troublesome symptoms starts to increase [6], which can significantly decrease HRQoL, and the factors explaining variance in HRQoL can be studied meaningfully. It is important to identify factors that can be modified in younger and middle-aged populations to be able to improve future health by public health policies and interventions during and, especially, before reaching an older age.…”

Section: Introductionmentioning

confidence: 99%

Factors important for health-related quality of life in men and women: The population based SCAPIS study

Olsson,

Björkelund,

Sandberg

et al. 2023

PLoS ONE

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Introduction Health-related quality of life (HRQoL) is essential for human wellbeing, influenced by a complex interplay of factors, and is reported lower in women than men. We aimed to evaluate which factors were the most important for HRQoL in a middle-aged general population. Methods This was a cross-sectional, multi-centre study of 29,212 men (48%) and women (52%) aged 50–64 in the general population in Sweden. Physical and mental HRQoL (0–100) was assessed using the Short Form 12 questionnaire, and association was evaluated for 356 variables including demographics, lifestyle, symptoms, physiological measurements, and health conditions. Using machine learning, each variable´s importance for HRQoL was measured by an importance score, comparable to effect size, and summarised in 54 factors, in men and women separately. Results Men and women had similar mean and standard deviation (SD) scores for physical HRQoL (53.4 [SD 8.1] vs 51.4 [9.7]) and mental HRQoL (37.1 [5.0] vs 37.3 [5.4]). The most important factors for physical HRQoL were (importance score) physical activity (40), employment (36), pain (33), sleep (33), and sense of control (26). The most important factors for mental HRQoL were sense of control (18), physical activity (12), depression (12), pain (6), and employment (5). Conclusions The factors important for HRQoL identified by this study are likely to be amenable to interventions, and our findings can support prioritising interventions. The identified factors need to be a target even before middle-age to lay the foundation for long and happy lives.

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Health-related quality of life in a general population sample in Kazakhstan and its sociodemographic and occupational determinants

Cited by 10 publications

References 20 publications

High levels of indoor fine particulate matter during the cold season in Almaty prompt urgent public health action

High levels of indoor fine particulate matter during the cold season in Almaty prompt urgent public health action

Perceived Air Quality, Thermal Comfort and Health: A Survey of Social Housing Residents in Kazakhstan

Factors important for health-related quality of life in men and women: The population based SCAPIS study

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