Background: Low socioeconomic status can increase the risk of unhealthy pregnancy results. In Pakistan malnutrition is a leading factor affecting health of pregnant females along fetus and is one of main cause of high maternal morbidity and mortality. One child out of four is victim of malnutrition here. Objective: The basic objective of this study is to determine the relationship between poverty and maternal health. There are many indicators that come under the umbrella of poverty which affects maternal heath such as socio-demographic, physical and mental wellbeing, medical and nutritional profile. Keeping these indicators under consideration, it becomes feasible to understand whether and how poverty affects maternal health. Methodology: A survey was conducted from May 2020 to end of June 2020 through a questionnaire consisting of 33 items. Population size was 200. It was hypothesized that 50% of the population will be under health stress. Important findings: The data collection and analysis showed 54.5% of population under study was health compromised due to poverty or low socioeconomic status. 61.8% of population specified improper diet as health issue that was the major reason behind their abortion/miscarriage/preterm labor. 57.2% of pregnant women were not satisfied with their diet plan. 48.6% of population faced psychological issues during gestation period and 59.3% of population faced financial crisis during pregnancy. Conclusion: It was concluded that poverty had negative influence on maternal health and is indicated by different factors like poor diet, poor physical and mental wellbeing, which resulted in adverse maternal outcomes. This issue needs to be addressed and health care services should be made equally available for all women at least cost. Keywords: poverty; low socioeconomic status; maternal health risk; pregnancy outcomes, risk-management

Objective: To describe the immediate symptoms of the post menopausal women attending Punjab Rangers Hospital Lahore. To see the effects of these symptoms on quality of life (QOL). Study Design: This was a descriptive type of study that was carried out at the Department of Gynecology and Obstetrics at Punjab Rangers Hospital. Setting: O&G OPD at Punjab Rangers Teaching Hospital Sample Size: 100 patients with menopause were studied for symptomatology and these symptoms affect the quality of life. Sample Collection: Sample collection was done by a non-probability convenient method. Inclusion Criteria: All patients who attended gynae opd at Punjab rangers hospital with:  Natural menopause  Above 45 years  Below 55 years  With no other Gynecological problems Exclusion Criteria: All those patients were excluded from the study that had  Surgical menopause  Perimenopause  History of depressive illness  Women on antidepressant  Women on HRT  Below 45 YEARS Data Collection: The questionnaires based on menopausal rating scale for symptomatology and quality of life were generated to see the impacts of these symptoms on life. The educated patients filled questionnaires. I filled out questionnaires of illiterate patients outdoors myself. Data Analysis: An analysis of data was done by using computer software SPSS. Data master sheet was developed. Frequency tables and graphs were generated The data was analyzed by using computer software SPSS.. Confidence interval was calculated for important frequency tables. Cross tabulation was done for marital status,parity,literacy,smoking and chi-square was applied as a test of significance. 65% patients described that their quality of life decreased after menopause especially due to vasomotor and psychological symptoms. 35% of patients were happy and satisfied after their menopause.Besides menopause there were other stresses of middle life, which made life worse. Subject: The study was performed during the period November2020 to May 2021.Sample was collected by a non probability convenient method and 100 patients were selected. Data was collected by questionnaire provided to patients attending the outpatient department. Data was analyzed with a computer software system by using SPSS. Results: The mean age observed was 49 years and frequency distribution of symptoms were:Hot flushes 60%, Night sweats 55% ,Insomnia 50% ,Mood changes 60% ,Anxiety 50% ,Irritability 50% ,Memory loss 30% ,Vaginal dryness 10%, Dyspareunia 10% ,Loss of libido 15% ,Urethral symptoms 25% ,Lethargy and general body aches 75% .65% patients described that their QOL had decreased after menopause. 35% patients described no effect. Conclusion: To promote the awareness in women about menopause, HRT and other alternatives which can improve their QOL