Health outcomes of energy poverty among women in Kenya: evidence from cross-county two-part modelling

Isaiah Maket

Energy, Ecology and Environment ›› 2024, Vol. 10 ›› Issue (2) : 182 -201.

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Energy, Ecology and Environment ›› 2024, Vol. 10 ›› Issue (2) : 182 -201. DOI: 10.1007/s40974-024-00345-5
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Health outcomes of energy poverty among women in Kenya: evidence from cross-county two-part modelling

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Abstract

Energy poverty has risen to be one of the vital worldwide problems threatening many lives yearly. The implication of energy poverty varies significantly by gender, with a significant impact among women, particularly in conventional rural developing economies. Consequently, for energy-poor households, women experience higher health deprivation compared to the health of men. Therefore, the twofold novelty of this paper delves into the energy poverty-health nexus discussion by first computing and analyzing multidimensional intensity and incidence of energy poverty using the Alkire-Foster technique. Secondly, utilising a cross-county two-part modelling approach, the paper explores the health outcomes of energy poverty among Kenyan women using the 2022 Kenya Demographic and Health Survey (KDHS) data. Addressing endogeneity issues, the study’s main findings reveal a significantly negative impact of energy poverty on self-reported health and a positive effect on health deprivation among women in Kenya. Based on the observed findings, it can be depicted that urgent implementation of regional program-based policy initiatives is needed to overcome energy poverty’s overreaching adverse health outcomes among women in Kenya.

Keywords

Energy poverty / Health deprivation / Self-reported health / Two-part modelling / Kenya / Medical and Health Sciences / Public Health and Health Services

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Isaiah Maket. Health outcomes of energy poverty among women in Kenya: evidence from cross-county two-part modelling. Energy, Ecology and Environment, 2024, 10(2): 182-201 DOI:10.1007/s40974-024-00345-5

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References

[1]

AbbasK, XuD, LiS, BazK. Health implications of household multidimensional energy poverty for women: A structural equation modelling technique. Energy and Buildings, 2021, 234. 110661

[2]

Adusah-Poku F, Takeuchi K (2019) Energy poverty in Ghana: any progress so far? Renew Sustain Energy Rev 112:853–864

[3]

AhmedA, GasparatosA. Multi-dimensional energy poverty patterns around industrial crop projects in Ghana: Enhancing rural development strategies’ energy poverty alleviation potential. Energy Policy, 2020.

[4]

AlkireS, FosterJ. Counting and multidimensional poverty measurement. J Public Econ, 2011, 957–8476-487.

[5]

AlkireS, SantosME. Measuring acute poverty in the developing world: Robustness and scope of the multidimensional poverty index. World Dev, 2014, 59: 251-274.

[6]

AlwagoWO. A partial least squares analysis of gender inequality, occupational segregation, and economic growth: Evidence from Sub-Saharan Africa. Reg Sci Policy Pract, 2023, 1561299-1316.

[7]

Ang’uC, MuthamaNJ, MutukuMA, M’IKiugu, M. H. . Analysis of energy poverty in Kenya and its implications for human health. Energy Policy, 2023, 176. 113506

[8]

Appau, S., Awaworyi Churchill, S., Smyth, R., and Zhang, Q. (2020). Social capital inequality and subjective well-being of older Chinese. Social Indicators Research, pp. 1–23.

[9]

AshrafuzzamanM, FuriniGL. Climate change and human health linkages in the context of Globalisation: An overview from global to southwestern coastal region of Bangladesh. Environ Int, 2019.

[10]

Aung, T., Bailis, R., Chilongo, T., Ghilardi, A., Jumbe, C., and Jagger, P. (2021). Energy access and the ultra-poor: Do unconditional social cash transfers close the energy access gap in Malawi? Energy for Sustainable Development, pp. 60, 102–112.

[11]

AzorliadeDA, TwerefouDK, DovieDBK. The Impact of Household Cooking Fuel Choice on Healthcare Expenditure in Ghana. Front Environ Sci, 2022, 10. 861204

[12]

BelfieldCR, KellyIR. The benefits of breastfeeding across the early years of childhood. J Hum Cap, 2012, 63251-277.

[13]

BelottiF, DebP, ManningWG, NortonEC. Two-part models. Stand Genomic Sci, 2015, 1513-20

[14]

Benvenuti, J. (2012). The rise of fuel poverty as an Australian issue: Customers–Understanding their Needs, Wants and Expectations. Consumer Utilities Advocacy Centre, Brisbane.

[15]

Berkouwer, S. B., and Dean, J. T. (2019). Credit and attention in the adoption of profitable energy-efficient technologies in Kenya.

[16]

BirdJ, MontebrunoP, ReganT. Life in a slum: Understanding living conditions in Nairobi’s slums across time and space. Oxf Rev Econ Policy, 2017, 333496-520.

[17]

Bokoro, P. N., and Kyamakya, K. (2023). The Impact of Market-Based Policies on Access to Electricity and Sustainable Development in Sub-Saharan Africa. In Recent Advances in Energy Systems, Power and Related Smart Technologies: Concepts and Innovative Implementations for a Sustainable Economic Growth in Developing Countries (pp. 343–376). Cham: Springer Nature Switzerland.

[18]

BoserupEPopulation and technology, 1981OxfordBlackwell255

[19]

Bouzarovski, S. (2018). Energy poverty:(Dis) assembling Europe’s infrastructural divide (p. 125). Springer Nature.

[20]

BouzarovskiS, PetrovaS. A global perspective on domestic energy deprivation: Overcoming the energy poverty–fuel poverty binary. Energy Res Soc Sci, 2015, 10: 31-40.

[21]

BowlegL. The problem with the phrase women and minorities: intersectionality—an important theoretical framework for public health. Am J Public Health, 2012, 10271267-1273.

[22]

BreuschTS, PaganAR. A simple test for heteroscedasticity and random coefficient variation. Econometrica: Journal of the Econometric Society, 1979.

[23]

Boardman B (2013) Fixing fuel poverty: challenges and solutions. Routledge

[24]

BukariC, BroermannS, OkaiD. Energy poverty and health expenditure: evidence from Ghana. Energy Economics, 2021, 103. 105565

[25]

CarréJ, GatimelN, MoreauJ, ParinaudJ, LéandriR. Does air pollution play a role in infertility? A systematic review. Environ Health, 2017, 16: 1-16.

[26]

ChristleyE, LjungbergH, AckomE, NeriniFF. Sustainable energy for slums? Using the Sustainable Development Goals to guide energy access efforts in a Kenyan informal settlement. Energy Res Soc Sci, 2021, 79. 102176

[27]

ChurchillSA, MarisettyVB. Financial inclusion and poverty: a tale of forty-five thousand households. Appl Econ, 2020, 52161777-1788.

[28]

ChurchillSA, SmythR. Energy poverty and health: Panel data evidence from Australia. Energy Economics, 2021.

[29]

ChurchillSA, SmythR, FarrellL. Fuel poverty and subjective well-being. Energy Economics, 2020.

[30]

ClarkeP, ErreygersG. Defining and measuring health poverty. Soc Sci Med, 2020.

[31]

CorburnJ, KaranjaI. Informal settlements and a relational view of health in Nairobi, Kenya: sanitation, gender and dignity. Health Promot Int, 2014, 312258-269.

[32]

CrentsilAO, AsumanD, FennyAP. Assessing the determinants and drivers of multidimensional energy poverty in Ghana. Energy Policy, 2019, 133. 110884

[33]

de BercegolR, MonstadtJ. The Kenya slum electrification program. Local politics of electricity networks in Kibera. Energy Res Soc Sci, 2018, 41: 249-258.

[34]

DebP, NortonEC. Modelling health care expenditures and use. Annu Rev Public Health, 2018.

[35]

DehejiaRH, WahbaS. Propensity score-matching methods for non-experimental causal studies. Rev Econ Stat, 2002, 841151-161.

[36]

DuanN, ManningWGJr, MorrisCN, NewhouseJP. A comparison of alternative models for the demand for medical care. Journal of Business & Economic Statistics, 1983.

[37]

FarewellVT, LongDL, TomBDM, YiuS, SuL. Two-part and related regression models for longitudinal data. Annual Review of Statistics and Its Application, 2017.

[38]

Ferrer-i-CarbonellA, FrijtersP. How important is methodology for the estimates of the determinants of happiness?. Econ J, 2004, 114497641-659.

[39]

FranklinP, TanM, HemyN, HallGL. Maternal exposure to indoor air pollution and birth outcomes. Int J Environ Res Public Health, 2019, 1681364.

[40]

GeorgeA, BoxiongS, ArowoM, NdoloP, ShimmonJ. Review of solar energy development in Kenya: Opportunities and challenges. Renewable Energy Focus, 2019.

[41]

GoK., (2018). National Energy Policy 2018, Ministry of Energy, Nairobi, Kenya, 2018. Retrieved from https://kplc.co.ke/img/full/BL4PdOqKtxFT_National Energy Policy October 2018. pdf. (accessed 23.12.2023).

[42]

González-EguinoM. Energy poverty: An overview. Renew Sustain Energy Rev, 2015, 47: 377-385.

[43]

Graham, C., Eggers, A., and Sukhtankar, S., (2004). Does happiness pay? In: Glatzer, W., Von Below, S., Stoffregen, M. (Eds.), Challenges for Quality of Life in the Contemporary World. Social Indicators Research Series Vol 24. Springer, Dordrecht.

[44]

GuptaP, NarineLK. Hunger in Utah and Implications on Social Determinants of Health. Journal of Food Security, 2023, 11392-100.

[45]

HernándezD. Understanding ‘energy insecurity’ and why it matters to health. Soc Sci Med, 2016, 167: 1-10.

[46]

HystadP, DuongM, BrauerM, LarkinA, ArkuR, KurmiOP. Health effects of household solid fuel use: findings from 11 countries within the prospective urban and rural epidemiology study. Environ Health Perspect, 2019, 1275. 057003

[47]

IEA (2017). Energy Access Outlook 2017: From Poverty to Prosperity. Available on: https://www.iea.org/publications/freepublications/publication/WEO2017SpecialReport_EnergyAccessOutlook.pdf (accessed 23.12.2023).

[48]

IEA, I., UNSD, World Bank, WHO., (2020). Tracking SDG 7: The Energy Progress Report. World Bank.

[49]

Iqbal, N., and Nawaz, S. (2017). Spatial differences and socioeconomic determinants of health poverty. The Pakistan Development Review, 221–248.

[50]

JiangY, NiW. Association between supplemental private health insurance and burden of out-of-pocket healthcare expenditure in China: A novel approach to estimate two-part model with random effects using panel data. Risk Management and Healthcare Policy, 2020.

[51]

KahouliS. An economic approach to studying the relationship between housing hazards and health: The case of residential fuel poverty in France. Energy Economics, 2020.

[52]

KemoniH, NgulubeP. Relationship between records management, public service delivery, and attaining the United Nations Millennium Development Goals in Kenya. Inf Dev, 2008, 244296-306.

[53]

KhanMN, NursB, Mofizul IslamIslam, and Rahman,CZMMRMM. Household air pollution from cooking and risk of adverse health and birth outcomes in Bangladesh: a nationwide population-based study. Environ Health, 2017, 16: 1-8.

[54]

KNBS. (2019). 2019 Kenya Population and Housing Census Volume II: Population distribution by administrative units. 2019 Kenya Population and Housing Census. Vol. II. Kenya National Bureau of Statistics.

[55]

KoomsonI, ChurchillSA. Employment precarity and energy poverty in post-apartheid South Africa: Exploring the racial and ethnic dimensions. Energy Economics, 2022.

[56]

Kurz, C. F. (2017). Tweedie distributions for fitting semicontinuous health care utilisation cost data. BMC Medical Research Methodology, pp. 17, 1–8.

[57]

Lambe, F., and Senyagwa, J. (2015). Identifying behavioural drivers of cookstove use: a household study in Kibera, Nairobi. Stockholm Environment Institute.

[58]

LeeCC, YuanZ. Impact of energy poverty on public health: A non-linear study from an international perspective. World Dev, 2024.

[59]

LewbelA. Using heteroscedasticity to identify and estimate mismeasured and endogenous regressor models. Journal of Business & Economic Statistics, 2012, 30167-80.

[60]

LimaF, FerreiraP, LealV. Health and housing energy expenditures: A two-part model approach. Processes, 2021, 96943.

[61]

LinB, OkyereMA. Race and energy poverty: the moderating role of subsidies in South Africa. Energy Economics, 2023, 117. 106464

[62]

Lis, M., Satach, K., and Święcicka, K., (2016). Heterogeneity of the fuel poor in Poland – quantification and policy implications. IBS Working Paper, 8/2016 (Warsaw).

[63]

Llorca, M., Rodriguez-Alvarez, A., and Jamasb, T. (2020). Objective vs. subjective fuel poverty and self-assessed health. Energy Economics87, 104736.

[64]

MaketI. Analysis of Incidence, Intensity, and Gender Perspective of Multidimensional Urban Poverty in Kenya. Heliyon, 2024.

[65]

MaketI. Rethinking energy poverty alleviation through financial inclusion: Do institutional quality and climate change risk matter?. Utilities Policy, 2024.

[66]

MaketI, KanóIS, VasZ. Urban Agglomeration and Income Inequality: Is Kuznets Hypothesis Valid for Sub-Saharan Africa?. Soc Indic Res, 2023.

[67]

MaketI, KanóIS, VasZ. Quality of urban infrastructural service accessibility and human well-being in Sub-Saharan Africa. World Development Sustainability, 2024, 4. 100155

[68]

MaketI, KanóIS, VasZ. Urban agglomeration and regional economic performance connectedness: Thin ice in developing regions. Research in Globalization, 2024, 8. 100211

[69]

ManningWG, MullahyJ. Estimating log models: to transform or not to transform?. J Health Econ, 2001, 204461-494.

[70]

ManyekiJK, KotoszB, KanóIS. Unconditional factor demands and supply response for livestock products: A farm-level analysis of the Southern Rangelands of Kenya. African Journal of Agricultural and Resource Economics, 2021, 163253-263.

[71]

MberuBU, CieraJM, ElungataP, EzehAC. Patterns and determinants of poverty transitions among poor urban households in Nairobi. Kenya African Development Review, 2014, 261172-185.

[72]

MeierrieksD. Weather shocks, climate change, and human health. World Dev, 2021, 138. 105228

[73]

MishraV, SmythR. Estimating returns to schooling in urban China using conventional and heteroscedasticity-based instruments. Econ Model, 2015, 47: 166-173.

[74]

MohanG. Young, poor, and sick: The public health threat of energy poverty for children in Ireland. Energy Res Soc Sci, 2021.

[75]

Molelekoa, T. C. (2023). Child’s multidimensional welfare and pro-poor growth in South Africa (Doctoral dissertation, North-West University (South Africa).

[76]

MoraT, GilJ, Sicras-MainarA. The influence of obesity and overweight on medical costs: a panel data perspective. Eur J Health Econ, 2015, 16: 161-173.

[77]

MuindiK, Kimani-MurageE, EgondiT, RocklovJ, NgN. Household air pollution: sources and exposure levels to delicate particulate matter in Nairobi slums. Toxics, 2016, 4312.

[78]

NadimiR, TokimatsuK. Energy use analysis in the presence of quality of life, poverty, health, and carbon dioxide emissions. Energy, 2018, 153: 671-684.

[79]

NawazS. Energy poverty, climate shocks, and health deprivations. Energy Economics, 2021.

[80]

NewellP, PhillipsJ. Neoliberal energy transitions in the South: Kenyan experiences. Geoforum, 2016.

[81]

Ngarava S, Zhou L, Ningi T, Chari MM, Mdiya L (2022) Gender and ethnic disparities in energypoverty: The case of South Africa. Energy Policy 161:112755.

[82]

NguyenCP, SuTD. Does energy poverty matter for gender inequality? Global evidence. Energy Sustain Dev, 2021, 64: 35-45.

[83]

NieP, LiQ. Energy Poverty and Health Care Expenditures: China Family Panel Studies Evidence. SSRN Journal, 2022.

[84]

NieP, LiQ, Sousa-PozaA. Energy poverty and subjective well-being in China: New evidence from the China Family Panel Studies. Energy Economics, 2021, 103. 105548

[85]

NsenkyireE, NkrumahRK, NunooJ, SebuJ. Energy poverty and functional disability nexus: Empirical evidence from Ghana. Energy Sustain Dev, 2023, 77. 101353

[86]

NussbaumerP, BazilianM, ModiV. Measuring energy poverty: Focusing on what matters. Renew Sustain Energy Rev, 2012, 161231-243.

[87]

OdhiamboMO. The ASAL policy of Kenya: Releasing the full potential of arid and semi-arid lands—An analytical review. Nomadic Peoples, 2013, 171158-165.

[88]

OdhiamboNM. Trade openness and energy consumption in sub-Saharan African countries: A multivariate panel Granger causality test. Energy Rep, 2021, 7: 7082-7089.

[89]

OforiSN, FobilJN, OdiaOJ. Household biomass fuel use, blood pressure, and carotid intima-media thickness; a cross-sectional study of rural-dwelling women in Southern Nigeria. Environ Pollut, 2018, 242: 390-397.

[90]

Ogeya, M. C., Osano, P., Kingiri, A., and Okemwa, J. M. (2021). Challenges and opportunities for the expansion of renewable electrification in Kenya. Youba Sokona, Vice-Chair of the Intergovernmental Panel on Climate Change (IPCC), 46.

[91]

OkorieDI, LinB. Association of energy poverty and catastrophic health expenditure. Energy, 2022, 253. 124108

[92]

Okushima S (2019) Understanding regional energy poverty in Japan: A direct measurement approach. Energy Build 193:174–184

[93]

OliverasL, PeraltaA, PalènciaL, GotsensM, LópezMJ, ArtazcozL, Marí-Dell’OlmoM. Energy poverty and health: Trends in the European Union before and during the economic crisis, 2007–2016. Health Place, 2021, 67. 102294

[94]

Olsen, M. K. (1999). A two-part random-effects model for semicontinuous longitudinal data. The Pennsylvania State University.

[95]

OmarMA, HasanujzamanM. Multidimensional energy poverty in Bangladesh and its effect on health and education: A multilevel analysis based on household survey data. Energy Policy, 2021, 158. 112579

[96]

OumS. Energy poverty in the Lao PDR and its impacts on education and health. Energy Policy, 2019.

[97]

PaganAR, HallAD. Diagnostic tests as residual analysis. Economet Rev, 1983, 22159-218.

[98]

PapadaL, KaliampakosD. Measuring energy poverty in Greece. Energy Policy, 2016, 94: 157-165.

[99]

PhouminH, KimuraF. Cambodia’s energy poverty and its effects on social wellbeing: Empirical evidence and policy implications. Energy Policy, 2019, 132: 283-289.

[100]

PrakashK, MunyanyiME. Energy poverty and obesity. Energy Economics, 2021, 101. 105428

[101]

PyeS, DobbinsA, BaffertC, BrajkovićJ, DeaneP, De MiglioR. Addressing energy poverty and vulnerable consumers in the energy sector across the EU. L’europe En Formation, 2015, 4: 64-89

[102]

RobinsonC, BouzarovskiS, LindleyS. ‘Getting the measure of fuel poverty’: England's geography of fuel poverty indicators. Energy Res Soc Sci, 2018, 36: 79-93.

[103]

Rodríguez-ÁlvarezA, OreaL, JamasbT. Fuel poverty and Well-Being: A consumer theory and stochastic frontier approach. Energy Policy, 2019, 131: 22-32.

[104]

RomeroJC, LinaresP, LópezX. The policy implications of energy poverty indicators. Energy Policy, 2018, 115: 98-108.

[105]

RonoPK, RahmanSM, AminMD, BadruddozaS. Unravelling the Channels of Food Security of the Households in Northern Kenya: Evidence from an Exclusive Dataset. Current Developments in Nutrition, 2023, 72. 100005

[106]

RosenbaumPR, RubinDB. The central role of the propensity score in observational studies for causal effects. Biometrika, 1983, 70141-55.

[107]

SadathAC, AcharyaRH. Assessing the extent and intensity of energy poverty using Multidimensional Energy Poverty Index: Empirical evidence from households in India. Energy Policy, 2017.

[108]

SantamourisM, VasilakopoulouK. Present and future energy consumption of buildings: Challenges and opportunities towards decarbonisation. E-Prime-Advances in Electrical Engineering, Electronics and Energy,, 2021.

[109]

SarkodieSA, AckomE, BekunFV, OwusuPA. Energy–climate–economy–population nexus: an empirical analysis in Kenya, Senegal, and Eswatini. Sustainability, 2020, 12156202.

[110]

SEforALL (2020). Sustainable energy for all: Our work. Available on: https://www.seforall.org/our-work. Retrieved on August 5, 2023.

[111]

SenAK. What is development about. Frontiers of Development Economics: the Future in Perspective, 2000, 1: 506-513

[112]

SimshauserP. Vulnerable households and fuel poverty: Measuring the efficiency of policy targeting in Queensland. Energy Economics, 2021, 101. 105405

[113]

Shupler M, Baame M, Nix E, Tawiah T, Lorenzetti F, Saah J, de Cuevas RA, Sang E, Puzzolo E, Mangeni J, Betang E (2022) Multiple aspects ofenergy poverty are associated with lower mental health-related quality of life: A modelling study in three peri-urbanAfrican communities. SSM-mental health 2 100103

[114]

SotoEA, BosmanLB, WollegaE, Leon-SalasWD. Peer-to-peer energy trading: A review of the literature. Appl Energy, 2021, 283. 116268

[115]

TakaseM, KipkoechR, EssandohPK. A comprehensive review of energy scenario and sustainable energy in Kenya. Fuel Communications, 2021, 7. 100015

[116]

TesfamichaelM, BastilleC, LeachM. Eager to connect, cautious to consume: An integrated view of the drivers and motivations for electricity consumption among rural households in Kenya. Energy Res Soc Sci, 2020, 63. 101394

[117]

ThamS, ThompsonR, LandegO, MurrayKA, WaiteT. Indoor temperature and health: a global systematic review. Public Health, 2020.

[118]

ToozeJA, GrunwaldGK, JonesRH. Analysis of repeated measures data with clumping at zero. Stat Methods Med Res, 2002, 114341-355.

[119]

UlucakR, SariR, ErdoganS, Alexandre CastanhoR. Bibliometric Literature Analysis of a Multi-Dimensional Sustainable Development Issue: Energy Poverty:. Sustainability, 2021, 13179780.

[120]

UNDP., (2010). World Energy Assessment Energy and the Challenge of Sustainability New York, NY, USA.

[121]

United Nations Human Settlements Programme (UN-Habitat). (2020). Indicator 11.1.1: Proportion of urban population living in slums, informal settlements, or inadequate housing, SDG Indicator Metadata Repository. 2020. Retrieved from https:// unstats.un.org/sdgs/metadata/. (accessed 23.12.2023).

[122]

United Nations., (2020). Sustainable Development: The 17 Goals. Retrieved from. https: //sdgs.un.org/goals (accessed 23.12.2023).

[123]

Valente, C., Wilkinson, S., and Morris, A. (2023). Energy poverty, poor housing, and the well-being of older Australians. In Building Health and Wellbeing (pp. 221–247). Routledge.

[124]

van den Berg, I. C. (2018). Kenya's Strategy to Make Liquefied Petroleum Gas the Nation's Primary Cooking Fuel.

[125]

W.H.O., (2019). Household Air Pollution and Health. Retrieved from https://www.who.int/news-room/fact-sheets/detail/household-air-pollution-and-health (accessed 23.12.2023).

[126]

WangX, LuJ, LiuQ, YuQ, FanJ, GaoF, ZhuX. Childhood experiences of threat and deprivation predict distinct depressive symptoms: A parallel latent growth curve model. J Affect Disord, 2022.

[127]

WHO. (2016). Burning opportunity: clean household energy for health, sustainable development, and well-being of women and children. Retrieved from https://www.who.int/publications/i/item/9789241565233 (accessed 23.12.2023).

[128]

ZhangD, LiJ, HanP. A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies. Energy Policy, 2019.

[129]

ZhangH, XuH, DengY. Energy Poverty and Household Health: Evidence from African Countries. Available at SSRN, 2023, 1122853

[130]

ZhengXY, TangSL, GuanWJ, MaSL, LiC, XuYJ, LinLF. Exposure to biomass fuel is associated with high blood pressure and fasting blood glucose impairment in females in southern rural China. Environ Res, 2021, 199. 111072

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